Open access peer-reviewed chapter

Exercise Interventions for the Management of Polycystic Ovary Syndrome (PCOS): An Update of the Literature

Written By

Lisa Vizza

Submitted: 04 August 2023 Reviewed: 08 September 2023 Published: 10 October 2023

DOI: 10.5772/intechopen.113149

From the Edited Volume

Polycystic Ovary Syndrome - Symptoms, Causes and Treatment

Edited by Zhengchao Wang

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Abstract

Polycystic Ovary Syndrome (PCOS) affects 6–10% women of reproductive age, and the diagnosis requires two of the three criteria: (1) menstrual irregularity; (2) polycystic ovaries on ultrasound; (3) elevated hormones (such as testosterone). Approximately 50–70% women have underlying insulin resistance and/or have a body mass index (BMI) greater than 28.0 kg/m2, and if not managed, it can worsen the symptoms of PCOS. The first line of treatment for PCOS includes lifestyle management such as diet and/or exercise. Previous studies evaluated interventions such as aerobic, aerobic plus resistance and high intensity aerobic. These interventions formed part of the initial guidelines for the management of PCOS, although the guidelines did not include recommendations of resistance training in isolation. More recently, new studies have emerged which assessed resistance training interventions in isolation in PCOS, where these findings led to an update in the guidelines in PCOS to recommend resistance training as part of the management. The chapter will look to provide an update of the exercise literature in PCOS, as well as provide recommendations for future research.

Keywords

  • Polycystic Ovary Syndrome
  • lifestyle interventions
  • women’s health
  • resistance exercise
  • aerobic exercise

1. Introduction

Polycystic Ovary Syndrome (PCOS) is a common endocrine condition, and affects approximately 6–10% of women during the reproductive years [1]. The diagnosis of PCOS requires two of the following three items as per the Rotterdam criteria: 1: menstrual irregularities (i.e., oligomenorrhea, amenorrhea); 2: polycystic ovaries on ultrasound; 3: androgen excess (i.e., elevated testosterone levels) [2].

The pathophysiology of PCOS is complex. Possible mechanisms include genetics, environmental and transgenerational factors, and can affect metabolic, reproductive and psychological outcomes [3, 4]. Insulin resistance may also be involved in the pathophysiology of PCOS [5, 6], where elevated levels may worsen features of PCOS (e.g., androgens, menstrual irregularity, and reproductive outcomes such as follicular arrest). A high proportion may also have underlying insulin resistance (50–70%) [7] and can be present in both overweight and non-overweight women with PCOS [5]. Interestingly, recent studies have also proposed a possible related intrinsic insulin resistance that are noted in PCOS versus their control counterparts [5].

Women with PCOS may also demonstrate an elevated body mass index (BMI) (>50% with BMI >25.0 kg/m2) [8] infertility (70–80%) [9], and may also be at risk of future chronic diseases (e.g., cancer, cardiovascular disease, and diabetes) [10]. Anxiety and depression are also noted in this cohort (26–52%) [11], which can negatively affect quality of life [12, 13].

The first line treatment for the management of PCOS includes lifestyle modifications such as diet and/or exercise. Previous guidelines recommend 150 minutes of exercise per week, of which 90 minutes should be at a moderate to high intensity [14]. These guidelines were formed in accordance to previous literature which assessed aerobic, resistance and/or aerobic with a dietary component, and high intensity exercise. The initial guidelines did not include recommendations for resistance training as part of the management of PCOS. No studies were available at the time which evaluated this modality in isolation. The benefits of this intervention, such as improved insulin sensitivity and body composition which has been reported in previous diabetes studies [15, 16], could also be beneficial for the management of PCOS.

This limitation led to future studies to evaluate this intervention in isolation, which included both a feasibility study in women with PCOS [17], as well as other studies which incorporated various prescriptions, and these findings will be explored further in this chapter. The reported benefits led to a revision in the guidelines, to recommend resistance training as part of the management for PCOS [18].

The next sections will look to review the different types of intervention studies in PCOS, as well as provide directions for future research.

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2. Exercise interventions in PCOS

2.1 Aerobic interventions-moderate and/or high intensity intermittent, and lifestyle interventions

Aerobic exercise is defined as an activity that uses large muscle groups, is maintained for a continuous time, and is rhythmic in nature [19]. Previous studies in PCOS assessed interventions such as cycle ergometry or treadmill for three to five sessions a week of 30–60 minutes at 60–70% of VO2max and/or HRmax [20, 21, 22, 23, 24, 25, 26, 27, 28, 29], self-selected or self-monitored (i.e. walking, cycle ergometry, treadmill) [30, 31], tailored intervention at an exercise dose of 14 kcal/kg/week) [32], walking and/or jogging [33, 34, 35, 36], and interventions that were either moderate and/or high intensity exercise [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]. In addition, lifestyle and/or home-based interventions were also assessed in women with PCOS [50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61].

The interventions ranged from 4 to 52 weeks, and were compared to groups that received no training, diet, education, medication, lifestyle plus medication, or electroacupuncture. Sample size across studies ranged between 8 to 183 participants. Limited studies are available that incorporated a long-term follow-up component (>1 year). Outcomes ranged from anthropometric, cardiorespiratory, hematological, menstrual cyclicity, and hemodynamic. Further, recent studies also included other measurements such as quality of life (i.e., anxiety and depression using either the Hospital Anxiety and Depression Scale (HADS), Polycystic Ovary Syndrome Questionnaire (PCOSQ), Short Form-36 (SF-36)) gene expression, enzymes, protein abundance, and a detailed list of all of these outcomes are reported in Table 1.

Moderate
Author, Study designN enrolled (E) and completed (C)Duration (weeks)InterventionOutcomesSignificant findings associated with exercise only
Randeva et al. [34], Liao et al. [62]
NRCT
E = 21
C = 12
24Walking 20–60 min 3 sessions/wk.
Volume increased fortnightly (120–420 min)
Hemotological
FAI, folate, B12, homocysteine, creatinine, T4, insulin, C, tg
Cardiorespiratory
VO2max
Hemodynamic
SPB, DPB
Anthropometric
BMI, WHR
Other measurements
BDDE-SR
Homocysteine, WHR, VO2max
Vigorito et al. RCT
[29]
E = 90
C = 90
12
  1. Cycle ergometer, 30 min at 60–70% of VO2max, 3 sessions/wk.

  2. Control

Hemotological
LH, FSH, PRL, E2, P, 17-OHP, T, A, DHEA-S, SHBG, FAI, Hb, LDL, HDL, TC, fasting glucose, fasting insulin, AUCGLU, AUCINS, CRP
Cardiorespiratory
VO2max, VO2AT, VE/VCO2slope, RERpeak, Wattmax HRrest, HRpeak
Hemodynamic
SBPrest, SBPpeak, DBPrest, DBPpeak, HRR
Anthropometric
BMI, WHR, WC
Questionnaire
LTPA
BMI, WC, WHR, fasting insulin, AUCINS, AUCGLU/AUCINS, VE/VCO2slope, HRrest, SBPrest, DBPpeak, VO2max, VO2AT, peak workload, LTPA
Giallauria et al., NRCT [24]E = 124
C = 124
12
  1. Cycle ergometer, 30 min at 60–70% of VO2max, 3 sessions/wk.

  2. Control

Hemotological
LH, FSH, PRL, E2, P, 17-OHP, T, A, DHEA-S, SHBG, FAI, Hb, LDL, HDL, TC, fasting glucose, fasting insulin, AUCGLU, AUCINS, AUCGLU/AUCINS, CRP, WBC, neutrophils, lymphocytes
Cardiorespiratory
VO2max, VO2AT, VE/VCO2slope, RERpeak, Wattmax HRrest, HRpeak
Hemodynamic
SBPrest, SBPpeak, DBPrest, DBPpeak, HRR
Anthropometric
BMI, WHR
BMI, WHR, fasting insulin, AUCINS, AUCINS:AUCGLU, CRP, WBC, VO2max, VO2AT, Wattmax, resting HR, post-exercise HHR
Palomba et al., NRCT [27]E = 40
C = 40
24
  1. Cycle ergometer, 30 min at 60–70% of VO2max, 3 sessions/wk.

  2. Control

Hemotological
LH, FSH, PRL, E2, P, 17-OHP, T, A, DHEA-S, SHBG, FAI, TSH, fasting glucose, fasting insulin, GIR, HOMA-IR, AUCglucose
Menstrual cyclicity/reproductive
Menses frequency, ovulation rate, ovulation frequency, pregnancy rate, abortion rate, cumulative ovulation rate, cumulative pregnancy rate
Anthropometric
BW, BMI, WC, WHR
Questionnaire
LTPA
LTPA (12 weeks), menses frequency, ovulation/ cumulative ovulation rate, abortion rate, trend higher pregnancy (p = 0.075), cumulative pregnancy (p = 0.058). BW, BMI, WC (12 weeks), T, SHBG, FAI (12 & 24 weeks) fasting insulin, GIR, HOMA-IR (12 & 24 weeks)
Brown et al., RCT [32]E = 37
C = 20
248–12-week ramp +12 weeks exercise (14 kcal/kg/wk)Hemotological
T, fasting glucose, fasting insulin, 2 h glucose/insulin, HOMA-IR, AUCGLU, AUCINS, insulin sensitivity, HbA1c, VLDL/LDL/HDL particles, mean particle sizes (VLDL, LDL, HDL), lipids
Cardiorespiratory
VO2max
Anthropometric
BW, BMI, WC, HC
Hemodynamic
SBP, DBP
VO2max, trend AUCins (p = 0.083), tg (p = 0.083), large VLDL/chylomicrons (p = 0.007). Large HDL, medium/small HDL, HDL size, tg & VLDL tg, trend LDL particles (p = 0.057), HDL cholesterol (p = 0.057)
Stener-Victorin et al., RCT [36]E = 23
C = 20
16
  1. Low frequency electroacupuncture

  2. Walking 30–45 min 3 sessions/wk

Hemotological
LH, FSH, total/free T, SHBG, FAI, DHEA-S, T4, TSH, IGF-1, insulin, glucose, HOMA-IR, C, tg, HDL, LDL
Hemodynamic
SBP, DBP, HR
Anthropometric
BW, BMI, WHR, sagittal diameter
Sympathetic activity
MSNA
Menstrual cyclicity/reproductive
Menstrual cycle status
MSNA burst activity and incidence, BMI, BW
Moro et al. [26]
Covington et al. [22], Prospective study
E = 8
C = 8
16Aerobic (treadmill), 5 sessions/wk.
55% VO2max. Prescribed by exercise energy expenditure.
Hemotological
Insulin sensitivity/glucose disposal rate, FFA, fasting insulin, GDR, total T, FAI, SHBG, CRP, DHEA-S, WBC, HDL, LDL
Cardiorespiratory
VO2max
Anthropometric
BW, BMI, WHR, VF, FM, FFM, fat cell size, BF%, subcutaneous fat
Menstrual cyclicity/reproductive
menstrual cyclicity (n follicles), ovarian morphology
Other measurements
Adipose tissue biopsy, β-adrenergic agonist, total RNA, isoproterenol (β-agonist) (A) and ANP (B), maximum postreceptor signaling agents, Dibutyryl-cAMP, Bromo-cGMP, MIF, IL-6, PAI-I, CD68, MCP-1, PLIN 1, 2, 3, 4, 5, ADP ribosylation factor (e.g. ARF related protein 1), beta-coatomer, GDP exchange brefeldin A resistant factor 1, Sec23a, adipose triglyceride lipase, monoglyceride lipase, ATGL co activator
Study also recruited 7 matched controls for baseline testing only
Insulin sensitivity (GDR), VO2max, baseline lipolysis, lipolytic response to isoproterenol, lipolytic sensitivity, ANP maximal induced lipolysis, catecholamine lipolytic responsiveness, isoproterenol-induced lipid mobilization. FFA, total number follicles.
PLIN3, ARF1, ARFRP1, BCOP and Sec23a
Ladson et al., RCT [56]E = 114
C = 38
24
  1. Lifestyle and metformin

  2. Lifestyle and placebo

Lifestyle = supervised (2× wk. was offered) and/or unsupervised (150 min aerobic exercise per wk)
Hemotological
T, SHBG, FAI, E2, LH, FSH, C, HDL, LDL, tg, fasting glucose, fasting insulin, AUCGLU, AUCINS, insulin sensitivity index, PDG
Cardiorespiratory
VO2max
Hemodynamic
SBP, DBP
Anthropometric
BW, BMI, WC, BMD, total lean and fat, central abdominal fat, AbFM, central to total body ratio, BF%
Questionnaires
PCOSQ
Menstrual cyclicity/reproductive
ovarian volume, follicle diameter, n ovulations
  1. T, BW, insulin sensitivity

  2. SBP, AUCGLU

Jedel et al. [30] Stener-Victorin et al. [36],
RCT
E = 84
C = 72
(Jedel=74)
16 + 16wk f/up
  1. Acupuncture

  2. Exercise (self-monitored, 30 min 3 sessions/wk)

  3. Control

Exercise-brisk walking, cycling, other exercise
Hemotological
T, FT, DHT, E1, E1-s, E2, DHEA, DHEA-S, A, 5-DIOL, ADT-G, 3G, 17G, SHBG, LH, FSH
Cardiorespiratory
VO2max
Anthropometric
BMI, WHR
Questionnaire
MADRS-S, BSA-S, SF-36, PCOSQ
Menstrual cyclicity/reproductive
Menstrual frequency
T, menstrual frequency, E1–2, 17G (wk 16). E2 and 17G (week 32)
SF-36 (role physical, physical functioning, general health) (wk 16). PCOSQ (emotion) (wk 16), (wk 32, infertility)
Abazar et al.,
RCT [20]
E = 24
C = 24
12
  1. Moderate, 3sessions/wk., 60–70% HRmax

  2. Control

Hemotological
HDL, LDL, tg, VLDL, C
Anthropometric
BMI, WHR, BF%, BW
BMI, WHR, BF%, HDL, Tg
Sprung et al., ObservationalE = 11
C = 6
Study also recruited 6 matched control
16Moderate 3× wk. 30% HRRHemotological
LH, FSH, P, E2, T, FAI, SHBG, ALT, glucose, insulin, HOMA-IR, C, tg, HDL, LDL
Cardiorespiratory
VO2max
Anthropometric
BW, WC
Hemodynamic
SBP, DBP, HR
Other measurements
NO mediated microvascular function (local heating)
VO2max, NO mediated microvascular function
De Frène et al., Prospective, longitudinal [52]E = 31
C = 23
24Exercise, diet (mild energy restriction), psychological subprogram
Exercise = tailored to improve step count
Anthropometric
BMI, BW, height
Questionnaire
PCOSQ, VAS
Total PCOSQ score, PCOSQ domains (emotions, body hair, weight, and infertility problems), VAS
Orio et al. [63]
RCT
E = 150
C = 136
24
  1. Oral contraceptive

  2. Exercise (3× wk. 45 min 60–70% VO2max)

  3. Polyvitamin

Hemotological
C, HDL, LDL, PAI-I, CRP, LH, FSH, TSH, PRL, E2, P, 17-OHP, T, A, DHEA-S, SHBG, FAI, glucose, insulin, GIR, HOMA, AUCglucose, AUCinsulin, AUCglucose/AUCinsulin
Cardiorespiratory
VO2max
Anthropometric
BW, WHR
Hemodynamic
SBP, DBP
Menstrual cyclicity/reproductive
Menstrual frequency
Other measurements
FMD, IMT
Exercise
IMT, FMD, HDL, CRP, PAI-I, VO2max, BMI, WHR, HOMA-IR, AUCins, menstrual frequency
Al-Eisa et al., NRCT [21]E = 90
C = 90
12Treadmill walking, 45 min, 3 sessions/wk. 65–75%Hemotological
FSH, E2, PRL, AMH, adiponectin, fasting glucose, fasting insulin, GIR, HOMA-IR, AFC
Cardiorespiratory
VO2max
Hemodynamic
SBP, DBP
Anthropometric
BMI, BW, WHR, WC
Menstrual cyclicity/reproductive
Ovulation rate, menstrual cyclicity
Study included:
GA-Control BMI 20–29
GB- PCOS BMI 30–35
GC- Obese BMI 30–35
GB and GC
BMI, BW, WC, WHR, PRL, fasting glucose/insulin, HOMA-IR, FSH, E2, GIR, adiponectin, AMH, AFC,
ovulation rate, menstrual cyclicity
Gilani et al. [64] RCTE = 40
C = 40
8
  1. Running 3× wk. 60–75% HRmax.

  2. Control

Hemotological
PRL, LH, FSH, DHEA-S, AMH, A, 17-OHP, T, P, E2, FAI
Anthropometric
BMI, WHR
LH, PRL, A
McBreairty et al. [65] RCTE = 95
C = 61
16All px underwent TLC diet for 2 weeks
  1. Exercise and pulse base diet

  2. Exercise and TLC diet

Exercise-aerobic 5× wk., 3 sessions supervised, self-selected 60% HRmax
Hemotological
E2, T
Anthropometric
BMI, BW, FM, LM, BF%, BMC
BMI, BW, FM, BMD
Kazemi et al. [66]
RCT
E = 95
C = 25
16 + 6–12-month f/up
  1. Exercise and pulse base diet

  2. Exercise and TLC diet

Exercise-aerobic 5× wk. 45 min 60–75% HRmax
Hemotological
T, SHBG, FAI, LH, FSH, FAI
Menstrual cyclicity/reproductive
Ovarian morphology, menstrual cycle length
Ovarian morphology, FAI, menstrual cyclicity
Wu et al. 2021 [67]
RCT
E = 38
C = 38
12
  1. Aerobic 4× wk. 30 min

  2. Control

Hemotological
Glucose, C, HDL, LDL, tg, Cr, FSH, LH, T, DHEA-S, AMH, MDA
Cardiorespiratory
VO2max
Hemodynamic
SBP, DBP
Anthropometric
BMI, BW
Other measurements
Oxidative stress
BMI, VO2max, AMH, oxidative stress
Upasana et al., RCT [61]E = 60
C = 48
20
  1. Home based aerobic training

  2. Control

Home based- 5×/wk. 30 min (brisk walking, cycling)
Hemotological
Fasting glucose, fasting insulin, HOMA-IR, CRP
Anthropometric
BW, BMI, WC, HC
BW, BMI, WC, HC, fasting glucose, CRP, HOMA-IR
Ramanjaneya et al., NRCT, [28]E = 21
C = 21
8Treadmill exercise 3 sessions/wk for 1 hr, 60% VO2maxHemotological
PG, insulin, NEFA, T, FAI, SHBG, LH, FSH, C, Tg, HDL, LDL, ALT, HbA1c, TSH, DHEA-S, A
Cardiorespiratory
VO2max
Hemodynamic
SBP, DBP
Anthropometric
BW, BMI, WC, HC
Other measurements
Complement related proteins (C1q, C3, C3b/lC3b, C4, Factor-B and H, properdin, C2, C4b, C5, C5a, D, mannose binding lectin, factor 1)
Study recruited PCOS and matched controls.
N.S
Moderate and/or high intensity
Author, Study designN enrolled (E) and completed (C)Duration (weeks)InterventionOutcomesSignificant findings associated with exercise only
Hutchinson et al., 2011, 2012 Harrison et al., 2012., Moran et al., 2011, prospective exercise interventionE = 34
C = 21
123 sessions/wk 1 hr. Alternated between
  1. 60 min moderate-intensity treadmill walking/jogging 75–85% HRmax

  2. High intensity and intermittent exercise (6 × 5 min with 2-min recovery 95–100% HRmax)

Hemotological
T, SHBH, FAI, fasting glucose, fasting insulin, GIR, HOMA, HbA1c, C, TC, HDL, LDL, triglycerol, FAI, IFG, tg
Cardiorespiratory
VO2max, RER, HRmax
Hemodynamic
SBP, DBP
Anthropometric
lean tissue mass, FM, AbFM, VF, SCFAT, BF%, BW, BMI, WC, WHR, thigh muscle attenuation.
Protein abundance
PGC1α, complex I, II, III, IV, V
Enzyme
ß-HAD, CS
Gene expression
PGC1A, TFAM, NRF1, COX4
Trial recruited both PCOS and matched controls
PCOS
BMI, VF, IR, Tg, trend lower PGC1A and higher PGC1A protein abundance, BW, WC, GIR, trend for CT muscle attenuation, VO2max, total and AbFM, AMH
Non PCOS
WC, SCFAT, VO2max
Kostrzewa-Nowak et al., 2014, NRCT [25]E = 34
C = 34
12
  1. Familiarization (3 sessions/wk. 30 min, 50% HRmax)

  2. Exercise = 60 min low-high impact 4 phases % HRmax (3 weeks each):50–60%, 55–65%, 60–70%, 65–75%

Hemotological
WBC, RBC, Hb, HTC, MCV, MCH, MCHC, PLT tg, C, HDL, LDL
Cardiorespiratory
VO2max, VE2max, HRmax, VO2/AT
Anthropometric
Skinfolds- thoracical, abdomen, subscapularis, triceps, and crus
BW, BMI, FFM, BF%, TBW, BMR
Results reported by BMI:
Underweight: BMI and weight, VO2max
Normal weight: n.s
Overweight: BMI, skinfolds, weight, TBW, BF%, Tg, C, HDL, LDL, VEmax
Gaeini et al., 2014, RCT [39]E = 40
C = 40
12
  1. 3 session/wk. 25–30 min, 60–85% HRmax

  2. Control

Hemotological
17-OHP, DHEA-S
Anthropometric
BW
Menstrual cyclicity/reproductive
Menstrual cycle status, follicles
Recruited lean and obese PCOS.
Obese PCOS
DHEA-S,17-OHP, BW
Both groups
Follicles, menstrual cycle status
Sa et al., 2016, RCT [35]E = 30
C = 30
16
  1. Walking/jogging 3 sessions/wk. 40 min

  2. Usual care 4 phases % HRmax (monthly increments)60–70%, 70–75%, 75–80%, 80–85%

Hemotological
FSH, LH, T, DHEA-S, insulin
Cardiorespiratory
VO2max
Hemodynamic
HRV, BP, HR, HRmax
Anthropometric
BMI
HR, SBP, HRV
Costa et al., 2017, two-way parallel controlled trial [33]E = 30
C = 27
16
  1. 3 sessions/wk = 40 min walking and/or jogging (outdoor track). intensity HRmax

  2. Control

Hemotological
DHEA-S, LH, FSH, TC, HDL, LDL, TG, FG, 2-H-PG, AUC OGTT, insulin, log insulin, HOMA-IR, IL-6, TN-F, CRP
Anthropometric
BMI, WC
Cardiorespiratory
VO2peak, HRmax
Hemodynamic
SBP, DBP
Questionnaires
SF-36
SF-36 (physical functioning, general health, mental health), VO2peak, BMI, WC, SBP, DBP, mean BP, total cholesterol, LDL, TNF-alpha, CRP. Mean HR 4 different phases.
Scott et al., 2017, NRCT [49]E = 16
C = 16
123 sessions/wk 1 hr. Alternating:
  1. 20–60 min walking/jogging, 75–80% HRmax with 2-min recovery

  2. HITT (6–8, 5 min intervals, 95–100% HRmax with 2-min recovery)

Wk 4 = 8 intervals, 1 min rest
Hemotological
Glucose, log insulin, HOMA-IR, GIR/FFM
Cardiorespiratory
VO2max
Anthropometric
BMI, FFM, FM, android/gynoid fat, android/gynoid ratio
Study recruited PCOS and non PCOS
VO2max, trend towards decrease BF%
Kogure et al., 2020, [43], Lopes et al., 2018 [44]
RCT
E = 110
C = 89
16
  1. CAT- 3 sessions/wk. 30 min 65–80% HRmax

  2. IAT-3 sessions/wk., 30 min (2 min high intensity 70–90% HRmax separated by 3 min recovery (60–70%))

  3. Control

Hemotological
T, FAI, SHBG
Anthropometric
Height, BW, WC, HC, WHR, BMI
Questionnaire
HADS, FRS, FSRI, dis (satisfaction grade)
Dis
(satisfaction) grade, total FSFI, HADS.
Ribeiro et al., 2019, [47] RCTE = 110
C = 87
16
  1. CAT-3 sessions/wk. 30 min 65–80% HRmax

  2. IAT-3 sessions/wk. 30 min (2 min high intensity 70–90% HRmax separated by 3 min recovery (60–70%)

  3. Control

Hemotological
T, PRL, TSH, 17 OHP
Anthropometric
BMI, WC, WHR
Menstrual cyclicity/reproductive
Ovarian morphology
Questionnaire
SF-36
CAT
WC, HC, WHR, SF-36 (physical functioning, role physical, general health, social role, emotional role, mental health)
IAT
WHR, SF-36
(physical functioning, role physical, general health, vitality, social role, emotional role, mental health)
IAT and CAT
T
Faryadian et al., 2019, [38] Quasi experimental designE = 24
C = 24
12
  1. HITT-3 sessions/wk. 2 sessions- 4 × 4 min 90–95% HRmax and 3× moderate intensity running, 70% HRmax,1 session-10×1 min high intensity running, 10×1 min rest.

  2. Control

Hemotological
Fasting glucose, fasting insulin, HOMA-IR, CRP
Anthropometric
BW, BMI
CRP, HOMA-IR
Benham et al., 2020 [37],
RCT
E = 47
C = 40
24 (+ 24 wk. f/up)
  1. HITT 3 sessions/wk., 10×30s 90% HRR or 9/10 Borg, alternate with 90s low intensity

  2. CAT (3 sessions/wk., 40 min moderate 50–60% HRR or 6/10 Borg)

  3. Control

Hemotological
HbA1c, fasting insulin, fasting glucose, HOMA-IR, C, LDL, HDL, Tg, ALT, GGT
Cardiorespiratory
VO2max
Anthropometric
BMI, weight, WC
Hemodynamic
SBP, DBP
BMI (CAT), WC (control and HITT), fasting glucose (HITT), LDL (HITT), HDL (HITT)
Elbandrawy et al., 2022, RCT [23]E = 40
C = 40
12
  1. 3 sessions/wk., 30 min treadmill (10 min low intensity, 20 min moderate (60–70% HRmax)) + Metformin (1500 mg)

  2. Metformin (1500 mg)

Hemotological
IL-6, TNFα, CRP
Anthropometric
BMI
IL-6, TNFα, CRP
Philbois et al., 2022, [68]
RCT
E = 110
C = 75
16
  1. CAT-3×wk 60 min, 70–80% HRR

  2. HITT-2 min 85–90% HRR, and 3 min 65–70% HRR

  3. Control

Hemotological
Insulin, glucose, tg, C, HOMA-IR, HDL, LDL
Cardiorespiratory
VO2max
Anthropometric
BMI, weight
Hemodynamic
SBP, DBP, HR, HRV
HR, VO2max, T
Mohammadi et al., 2023 [45]
RCT
E = 30
C = 28
8
  1. HITT-3 sessions/wk. low intensity run (50% max speed) and 3×30s sprint followed by 30s slow running.

  2. Control

3rd week = 6 sets
Hemotological
Fasting glucose, insulin, HOMA-IR, QUICKI, LDL, HDL, total C, tg, A/P, TS/C ratio
Cardiorespiratory
VO2max
Anthropometric
BW, BMI, BF%, WHR, VAT, VAI
BMI, WHR, visceral fat, insulin, insulin resistance, LDL, atherogenic index, cholesterol, cortisol
Samadi et al., 2023 [69], RCTE = 30
C = 30
12
  1. HITT- 3× wk. 30 min (4×4 min, 8 rounds 20s all out and 10s rest (80–85% HRmax) and Metformin (1500 mg)

  2. Metformin (1500 mg)

Hemotological
HOMA-IR, SHBG, T, LH, DHEA-S, FSH, FAI
Cardiorespiratory
VO2max
Anthropometric
FM, BMI, WHR, HC
Menstrual cyclicity/reproductive
Ovarian morphology, menstrual cyclicity
BMI, FM FSH, T, SHBG, HOMA-IR
Lifestyle interventions
Author, Study designN enrolled (E) & analyzed (A)Duration (weeks)InterventionOutcomesSignificant findings associated with exercise only
Guzick et al., 1994, [70] RCTE = 12
C = 12
12
  1. Behavior weight control

  2. Control Guidance provided to improve physical activity levels

HemotologicalT, SHBG, fasting insulin, glucose, LHAnthropometricBWBW, SHBG, trend fasting insulin
Hoeger et al., 2004, [54]
RCT
E = 38
C = 23
48
  1. Metformin (1700 mg)

  2. Lifestyle and placebo

  3. Lifestyle and Metformin

  4. Placebo

Lifestyle: nutrition (500–1000 deficit), behavior, exercise (150 min per wk)
Hemotological
SHBG, insulin, glucose, T, FAI, AUCGLU, AUCINS, fasting insulin
Anthropometric
BW, BMI, WHR, WC
Other measurements
Weekly urine samples (pregnanediol)
BW, T, FAI, trend fasting glucose
Pasquali et al. 2011 [71], NRCTE = 100
C = 65
24Diet (hypocaloric 1200–1200 kcal day) followed by mildly restricted intake (500 kcal day deficit), walking 30 min 5× wkHemotological
T, SHBG, FAI, A, DHEA-S, 17-OHP, LH, FSH, LH/FSH, E2, LDL, HDL, tg, fasting glucose, fasting insulin, HOMA-IR, QUICKI, C, ISIcomposite
Anthropometric
BMI, WC, HC, WHR
Menstrual cyclicity/reproductive
Menses, ovarian morphology/volume, follicle number
WC, A, 17-OHP, LH, C, HDL, tg, fasting glucose, fasting insulin, HOMA-IR, QUICKI, ISIcomposite
Mahoney et al. 2013 [58], Prospective quantitative designE = 12
C = 9
12
  1. Lifestyle (3–5 sessions/wk., 30–60 min, low impact exercises (walking, cycling), RX 2 to 3 sessions.

  2. Counseling- every 2 weeks (6 sessions total)

Anthropometric
BMI
Menstrual cyclicity/reproductive
Menstrual history
Questionnaire
Block Brief food frequency, Block physical activity screener.
Other measurements
Diet modification (energy intake, fat, saturated fat, carbohydrates, protein)
Weight, mean daily calorie, fat and carbohydrate intake, frequency home or gym exercise, menstrual cyclicity 50% among prior amenorrheic patients.
Konopka et al., 2015 [55], RCTE = 39
C = 39
12
  1. Lean PCOS-control

  2. Obese PCOS-Aerobic

  3. Obese PCOS-control

Exercise = Supervised: 60 min HR 65% VO2peak 5× wk.
Hemotological
Glucose, insulin, HOMA, c-peptide, P, E2
Cardiorespiratory
VO2peak
Anthropometric
BMI, BW, FM, FFM
Other measurements
Hyperinsulinemic-euglycaemic pancreatic clamp (insulin sensitivity), muscle biopsy (vastus lateralis), mitochondrial respiration (complex I, complex I and II, complex II, FCCP, O2flux (state 3 (CI), cytoc, State 3 (CI + II), state 3 (CII), state 4, FCCP, antimycin A), respiratory control ratio (RCR), phosphorylation efficiency (ADP:O), H2O2). H2O2 production, antioxidant activity and mRNA expression (catalyze activity, SOD), oxidative damage (8-oxo-dG), mtDNA
Study recruited obese and lean PCOS
State 4, ADP:O, mtH2O2 emissions, VO2peak, maximal citrate synthase activity, maximal mitochondrial oxidative activity, RCR and ADP:O, H2O2-emitting potential of isolated mitochondria, mtH2O2, catalyze activity, GIR, insulin sensitivity, AUCGLU
Legro et al., 2015, [57] Dokras et al., 2016 [53],
RCT
E = 149
C = 132
16
  1. OCP

  2. Lifestyle (caloric restriction, weight loss medication, exercise)

  3. OCP + lifestyle

Hemotological
AMH, T, SHBG, C, HDL, LDL, Tg, OGTT, AUC insulin, AUC glucose, insulin,
Anthropometric
BW, BMI, WC, FM, lean mass, BF%
Hemodynamic
SBP, DBP
Questionnaire
PCOSQ, 3-day diet log, SF-36
BW, cumulative ovulation rates, SF-36 (general health all groups), lifestyle only (vitality), PCOSQ (OCP and combined improvement in all domains, LS- not in hair and emotional)
Nagelberg et al., 2016 [60], RCTE = 21
C = 21
4
  1. Pedometer

  2. Control

Step goal- increase 50% per wk. All received clomiphene
Hemotological
HbA1c, fasting glucose, TSH, Vit D, T, DHEA-S
Anthropometric
BMI
N.S due to small sample size. 7 became pregnant (4 in intervention and 3 in control), 50% intervention group lost weight and only 3/10 patients achieved step count.
Arentz et al., 2017 [50], RCTE = 122
C = 102
12
  1. Lifestyle

  2. Lifestyle and herbal medicine

Lifestyle = 150 min wk.
Hemotological
FSH, LH, E2, T, SHBG, FAI, fasting glucose, fasting insulin
Anthropometric
BMI, WC, WHR
Hemodynamic
SBP, DBP
Questionnaires
PCOSQ, DASS-21
Menstrual cyclicity/reproductive
Oligomenorrhea
Oligomenorrhea, BMI, insulin, LH, BP, PCOSQ, DASS-21, pregnancy rates (Lifestyle and herbal medicine)
Cooney et al., 2018 [51], RCTE = 33
C = 24
16
  1. CBT

  2. No CBT

All received 30 min weekly nutrition/exercise counseling.
Exercise goal = 50 min and increase to 175 min per wk
Hemotological
C, HDL, LDL, tg, fasting glucose, insulin, HOMA-IR, total/free T, SHBG, CRP, IL6, apolipoprotein A1 and B
Anthropometric
BW, BMI, WC, HC, WHR
Hemodynamic
SBP, DBP, heart rate response
Questionnaires
CES-D, STAI, PSS, ACE, PCOSQ, TSST
BW, PCOSQ (more in CBT). STAI and CES-D, Total/free T. Heart rate response (greater in CBT)
Manteghi et al., 2021 [59],
RCT
E = 120
C = 104
24
  1. Letrozole 2× evening, HMG injection, aerobic exercise 3× wk 30 min

  2. Two letrozole tablets

Hemotological
FBS, HbA1c, FSH, LH, E2, PRL, TSH
Anthropometric
BMI
Menstrual cyclicity/reproductive
Number follicles, pregnancy rates, rate live births
Pregnancy rates, rate live births, HbA1c and fasting blood sugar
De loos et al. 2023, [72]
RCT
E = 183
C = 76
52
  1. Lifestyle with sms support

  2. Lifestyle

  3. Usual care

Lifestyle = encouraged to exercise 5× wk. 30 min, and 8–10 rx exercises 2x wk
Cardiorespiratory
VO2max, peak workload
Anthropometric
BMI, BW
Questionnaire
IPAQ
Lifestyle and sms- IPAQ, peak workload

Table 1.

Summary exercise studies (aerobic, moderate and/or high intensity, lifestyle interventions).

Abbreviations: T, testosterone; SHBG, sex hormone binding globulin; E2, estradiol; LH, luteinizing hormone; FSH, follicle stimulating hormone; P, progesterone; DHEA-S, dehydroepiandrosterone; A, Androstenedione; 17-OHP, 17-Hydroxyprogesterone; FAI, free androgen index; PRL, prolactin; TSH, thyroid stimulating hormone; PDG, pregnanediol-3-glucoronide; C, cholesterol; TC, total cholesterol; Tg, triglycerides; LDL, low density lipoprotein; HDL, high density lipoprotein; VLDL, very low density lipoprotein; Hb, hemoglobin; HOMA-IR, homeostatic model assessment insulin resistance; QUICKI, quantitative insulin-sensitivity check index; GIR, glucose infusion rate; AUCGLU/INS, Area under curve glucose/insulin; IGF-1, insulin growth factor; T4, thyroxine; CRP, C-reactive protein; WBC, white blood cells; NMR, nuclear magnetic resonance spectroscopy; BMI, body mass index; BF%, body fat percentage; FM, fat mass; FFM, fat free mass; AbFm, abdominal fat mass; SCFAT, subcutaneous fat; WC, waist circumference; WHR, waist to hip ratio; HC, hip circumference; SO2S, sum of 2 skinfolds; REE, resting energy expenditure; SBP, systolic blood pressure; DBP, diastolic blood pressure; LTPA, leisure time physical activity; HbA1c, glycated hemoglobin; HR, heart rate; HRR, heart rate reserve; VO2max, maximal oxygen consumption; VO2AT, maximal oxygen consumption at anaerobic threshold; VE/VCO2slope, minute ventilation-carbon dioxide production; AER+RX, aerobic plus resistance; RCT, randomized control trial; RM, repetition maximum; NRCT, non randomized control trial; BDDE-SR, body dysmorphic disorder examination; BW, body weight; FFA, free fatty acid; BMD, bone mineral density; PCOSQ, Polycystic Ovary Syndrome Questionnaire; E1, estrone; E1-s, E1 sulphate; 5-DIOL, 5-androstene-3; ADT-G, androsterone glucuronide; 3G, androstane-3; 17G, 17-diol-17 glucuronide; MADRS-S, Montgomery Åsberg Depression Rating Scale; BSA-S, Brief Scale for Anxiety; SF-36, Short form-36; AFC, Antral follicle count; NS, not significant; NEFA, non esterified free fatty acids; RBC, red blood cell; HTC, hematocrit; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; PTL, platelets total level; TBW, total body water; BMR, basal metabolic rate; HRV, heart rate variability; CAT, continuous aerobic training; IAT, intermittent aerobic training; FSRI, Female sexual function index; FRS, figure rating scale; HITT, high intensity interval training; GGT, gamma-glutamyl transferase; ALT, alanine aminotransferase; A/P, Atherogenic index of plasma; TS/C, testosterone to cortisol ratio; VAT, visceral adipose tissue; VAI, visceral adiposity index; CES-D, Center for Epidemiologic Studies Depression Scale; STAI, State-Trait Anxiety Inventory; PSS, perceived stress scale; ACE, adverse childhood experience; TSST, Trier Social stress test; DASS-21, depression anxiety and stress score; IFG, impaired fasting glucose; RER, respiratory exchange ratio; PLT, platelets total level; GDR, glucose disposal rate; IL-6, interleukin-6; MIF, Covinton-Macrophage inhibitory factor; PAI-I, plasminogen activator inhibitor; CD68, cluster of differentiation marker 68; MCP-1, monocyte chemotactic protein-1; IPAQ, international physical activity questionnaire; MSNA, muscle sympathetic nerve activity; AMH, anti-Mullarian hormone; MDA, malondialdehyde; HADS, hospital anxiety and depression scale; TNFα, tumor necrosis factor; PLIN, Perilipin.


Adherence rates ranged between 60% and 100% across interventions that used cycling or ramp protocols, self-selected or self-monitored exercise (i.e., walking or a goal of 150 minutes of exercise a week), or a combination of moderate and/or high intensity aerobic exercise [24, 26, 27, 29, 32, 37, 40, 41, 42, 48, 50, 51, 73]. Further, adherence was also reported in other ways across studies which included weekly increase (e.g., 21.1%) [60], mean participation per week [58], and levels (e.g. high, moderate and low) [27], or there were a few studies that did not report this [20, 21, 23, 25, 28, 33, 34, 35, 36, 38, 39, 43, 44, 45, 47, 52, 54, 55, 56, 57, 59, 61, 71].

Adverse event reporting was also not always reported across interventions [20, 21, 22, 23, 25, 26, 32, 35, 36, 39, 49, 52, 73], and similarly, this was also the same for dropout rates [20, 21, 23, 24, 25, 26, 29, 35, 39, 55, 73]. Of the studies that reported dropout rates, this ranged between 10% and 70% across interventions [5, 27, 30, 32, 34, 41, 42, 43, 47, 49, 50, 51, 52, 54, 56, 59, 61], where higher dropout rates were reported for interventions that used metformin (>40% [54, 56]), walking (where the volume increased fortnightly- 57% [34]), moderate to high intensity exercise (30–60%) [41, 42, 49], and 30 min weekly nutrition/exercise counseling (where one group also received cognitive behavioral therapy (54%)) [51]. Across studies, co interventions was not always reported. While limited studies are available that reported for differences in dropout rates between ethnic groups, interestingly, two studies reported a higher percentage/number in ethnic groups that dropped out from interventions such as lifestyle and metformin (76% versus 62%) [56], and a ramp plus 12-week exercise protocol (25%) [32].

Characteristics of participants recruited in these studies ranged between 20 to 35 years of age, and BMI > 25.0 kg/m2. Most studies excluded participants with a history of the following which included but was not limited to, cardiovascular, metabolic, or glucose intolerance. Across studies, the main baseline characteristics that were reported included body composition, hematological, cardiovascular, but not all studies reported menstrual cycle status as a baseline characteristic in PCOS. Further items that were not reported (although it is possible some studies could have reported these separately as supplementary materials) included family history, PCOS phenotype, previous pregnancies, or other co morbid conditions such as metabolic syndrome. Further, limited studies have not included other baseline characteristics for example pain perception, where higher prevalence of pain perception has been reported in PCOS in a study using the SF-36, and may be associated with infertility, obesity, inflammation or insulin resistance) [74], as well as sleep disorders (this was reported in one study which included numbers of obstructive sleep apnea) which may be prevalent in this cohort [37, 75].

To our knowledge, only few studies recruited PCOS women with a BMI < 25.0 kg/m2 [25, 39], and also, for studies that did not report this, it is unclear as to whether participants in various ethnic groups were recruited. For example, differences in PCOS symptoms (e.g., hyperandrogenism and metabolic symptoms) were noted between Hispanics versus non-Hispanics [76]. Of the two studies that reported higher dropout rates in this group, it would be important to determine as to whether additional strategies are required to improve compliance rates in this group. Further, not all studies reported other ethnicity outcomes such as English language proficiency and Ancestry. Furthermore, it is probable that participants with limited English proficiency requiring translation were also not included in these studies. A previous review reported that approximately 21% of studies excluded participants with low English proficiency from research [77]. Exclusion of these participants from research would not provide a true representation of the study population, particularly in countries such as Australia where the population is culturally diverse.

Overall, the benefits of aerobic interventions that used either moderate and/or a combination of moderate and high intensity in women with PCOS with a BMI > 28.0 kg/m2 ranged from improved body composition (e.g., reduced waist circumference, waist to hip ratio and body weight), hematological (e.g., improved lipids, hormones, insulin sensitivity), cardiorespiratory and hemodynamic (e.g. aerobic fitness, blood pressure), menstrual cyclicity, and other outcomes (e.g., mRNA, protein abundance). Further, for recent studies, quality of life was also improved following an aerobic intervention, which included improved anxiety and depression scores (using HADS), PCOSQ (domains such as emotions, body hair, weight, and infertility problems), and quality of life (SF-36 on domains such as role physical, physical functioning, general health, and social role).

While further studies are warranted to investigate the benefits of aerobic exercise interventions in lean women with PCOS (BMI <28.0 kg/m2), possible benefits may include a change in left/right follicles and menstrual cyclicity following moderate to high intensity exercise (60–85%) [39], as well as changes in BMI, weight and VO2max following low-high impact exercises at 50–75% HRmax [25].

A detailed list of outcomes for each of these studies and their findings are provided in Table 1.

2.2 Resistance interventions (with or without aerobic intervention)

Resistance training is a form of exercise that challenges the muscles with unaccustomed loads using free weights and/or machine weights. Resistance training has also been reviewed in studies in PCOS, either in isolation and/or combined with other modalities (e.g., aerobic, dietary component), and the studies incorporated exercises using free weights, machines, aqua aerobics, or Thera bands.

For studies that assessed aerobic and resistance, either in isolation or in combination, the exercise prescription was described across most interventions. For the aerobic intervention, this included 30 minutes on the treadmill/bike at 70–85% HRmax [78], 25–45 minutes at 60–80% HRmax [79], high intensity interval training (e.g. 4×30 s or 4×4 minutes at 90–100% maximum speed) [80, 81, 82], step routine (5–20 minutes) [83], goal oriented (200–300 minutes total per week) [84], or individually tailored [85]. For the resistance training, the prescription ranged from two to three sessions per week, with some studies prescribing a whole body intervention [81, 82, 83], while a number of studies did not describe the intervention in detail [78, 80, 84, 85]. The intensity of the resistance training interventions was determined by either repetitions (8–16 repetitions [78], % 1 Repetition Maximum (RM)) [79, 80, 81, 82], Borg scale [83], or was not reported [78, 84, 85, 86].

Of the studies that assessed resistance training intervention only, two studies did not describe the intervention in detail [87, 88]. The prescription also varied across studies. For example, a study integrated macrocycles (e.g. four macrocycles (3 weeks of increased intensity, fourth week at a reduced intensity, and progressively increasing the intensity while reducing repetitions between sets (e.g. week 1–60%, 65%, 70%, 65%, week 2–65%, 70%, 75%, and 70%)) [89, 90], while another study used mesocycles (first 3 weeks performed for three sessions a week with the intensity increasing at 5% per week, and for the fourth week, sessions were performed for two sessions a week while the intensity reduced by 5% [47]. For another study, the intervention consisted of two supervised sessions per week of a whole-body routine with each exercise performed for three sets of 8–12 repetitions, and the weight was increased once the participant was able to perform three sets of the exercise at 8–12 repetitions, and it also included two supervised sessions at home using calisthenica [17].

The interventions ranged between 8 to 24 weeks, and most studies included comparator groups such as dietary restriction, no treatment (control), medication (e.g., metformin, calcium, clomiphene). Sample size across studies ranged between 8 to 143 participants. To the best of our knowledge, limited studies are available that included a long-term follow-up, and similar to the aerobic training studies, co interventions were not always reported. Outcomes ranged from anthropometric, cardiorespiratory, hematological, menstrual cyclicity, and hemodynamic. Further, these studies collected other measurements such as endothelial vasodilation, step count, quality of life (i.e., anxiety and depression), heart rate recovery and telomere content. The listed outcomes are provided in Table 2.

Mixed interventions (aerobic and/or resistance)
Author, Study designN enrolled (E) & completed (C)Duration (weeks)InterventionOutcomesSignificant findings associated with exercise only
Bruner et al., 2006, [78]
RCT
E = 12
C = 12
12
  1. Nutrition counseling and AER + RX - 3× wk. 90 min (30 min TM or bike at 70–85% HRmax) and RX (12 exercises 3×15)

  2. Nutrition counseling

Hemotological
T, SHBG, FAI, LH: FSH, fasting insulin, QUICKI
Cardiorespiratory
VO2max, REE
Anthropometric
BW, BMI, WG, SO2S
Menstrual cyclicity/reproductive
Ovarian follicle (left and right)
WG, SO2S, fasting insulin, VO2max
Thomson et al., 2008, 2016, [79, 91]
RCT
E = 94
C = 52
20
  1. Diet + AER: walking/jogging 5 x wk. Wk 1 (25–30 min at 60–65% HRmax), and 45 min at 75–80% HRmax

  2. Diet + AER and RX same aerobic 3× wk., RX 2× wk. non consecutive. 5 exercises wks 1–2: 50–60% 1RM and increased to 65–75% 1RM.

  3. Diet only

Hemotological
T, SHBG, FAI, C, LDL, HDL, tg, insulin, glucose, HOMA, urinary (PDG)
Cardiorespiratory
VO2peak
Hemodynamic
SBP, DBP
Anthropometric
BF%, FM, FFM, AbFm WC
Menstrual cyclicity/reproductive
Menstrual cyclicity
Questionnaires
PCOSQ, CES-D, EBBS
BP, fasting glucose, fasting insulin, HOMA, lipids, t, FAI, SHBG, ovulation, menstrual cyclicity (all groups), BF%, FM and FFM (exercise groups), trend AbFM (p = 0.08), EBBS, VO2peak
Aubuchon et al., 2009, [84] open longitudinal studyE = 37
C = 33
14Group exercise (AER + RX)-60 min. Group nutrition classes (90 min/wk. for 4 weeks)
60 min session, Goal = 200–300 min/wk
Anthropometric
BMI, WC, HC, BF%
Menstrual cyclicity/reproductive
Clinical pregnancy rates
BF%, weight loss, BMI, WC, HC
Nybacka et al., 2011, [85]
RCT
E = 57
C = 25
16
  1. Diet

  2. Exercise

  3. Diet and exercise

Diet: restriction ≥600 kcal/d
Exercise: tailored AER + RX (no description RX)
Hemotological
FSH, LH, T, SHBG, fT, DHEA-S, 17-OHP, E2, IGF-I, IGFBP-I, insulin, glucose, HOMA
Anthropometric
BW, WHR, BF%, lean body mass
Menstrual cyclicity/reproductive
Menstrual status, ovulation
Other measurements
Caloric intake/24 hrs, steps/d
Caloric intake/24 hrs, steps/d, weight, BF%, total lean body mass, T/SHBG ratio
Curi et al., 2012, [86]
RCT
E = 40
C = 27
24
  1. Metformin (850 mg) 2× day

  2. Lifestyle and diet (carb 50%, fat 30%, protein 20%), 30 min walk, 3 RX (squats, pushups, sit-ups)

Hemotological
Fasting blood glucose, insulin, gonadotropins, E2, total T, A, DHEA-S, tg, C
Anthropometric
BMI, WC
Menstrual cyclicity/reproductive
Menstrual cycle index
BMI, WC, MCI
Almenning et al., 2015, [80]
RCT
E = 31
C = 25
103× wk. (1× supervised)
  1. RT- 8 dynamic strength drills- 75% 1RM, 3×10.

  2. HITT-2× sessions (4×4 min 90–95% HRmax, and 3 min moderate intensity 70% HRmax)1 session (10× 1 min max intensity, 1 min rest/very low activity).Self-selected (treadmill, walking/running/cycling)

  3. Control

Hemotological
IR (HOMA-IR), Glucose, C, HDL, LDL, tg, CRP. Insulin, adiponectin, leptin, T, homocysteine, AMH, FAI, SHBG, DHEA-S
Cardiorespiratory
VO2max
Hemodynamic
Heart rate recovery
Anthropometric
BW, WC, FM, VF, FFM, BF%
Menstrual cyclicity/reproductive
menstrual frequency
Other measurements
Endothelial vasodilation (FMD)
HOMA-IR, HDL, AMH, endothelial function, BF%
Turan et al., 2015, [83]
RCT
E = 32
C = 30
83× wk. 8 weeks.
  1. AER + RX (50–60 min)

AER- Step 5–20 min (Borg 10–15)
RX-Elastic band 15 reps each (intensity 5–6 somewhat intense)
  1. Control

Hemotological
FSH, LH, FSH, E2, Total T, fT, HDL, LDL, tg, Total cholesterol, fasting glucose, fasting insulin, HOMA
Cardiorespiratory
VO2max
Hemodynamic
SBP, DBP, HR, RR
Anthropometric
BMI, WC, HC
Other measurements
IPAQ
WC, HC, DBP, RR, VO2max, LDL, total cholesterol, fasting glucose, HOMA, mean menstrual cycle interval
Nasiri et al., 2022 [81], RCTE = 45
C = 45
8
  1. HITT-4×30 s 100% maximum speed, 4×30 s active recovery, 5 min passive recovery.

  2. COM- 3× wk, RX 3×10–16 repetitions (50–70% 1RM) and AER – running 60–70% HRmax

  3. Usual care

Cardiorespiratory
VO2max
Anthropometric
BMI, WHR, Weight, BF%, VAT
BMI, WHR, BF%, VAT, VO2max
Rao et al., 2022, [82]
RCT
E = 50
C = 40
12
  1. HITT-3× treadmill (4×4 at 90–95% HRmax, and 3 min moderate intensity (70% HRmax)- 45 min session, total duration HITT 25 min

  2. RX-3× wk., 60–70% 1RM 3×10

Hemotological
T
Anthropometric
BMI, BF%
Questionnaire
IPAQ
BMI (both groups), T, BF% and IPAQ (more in HITT)
Resistance training interventions
Author, Study designN enrolled & completedDurationInterventionOutcomesFindings (P < 0.005)
Lara et al., 2015, [89] Ramos et al., 2016, [90] Kogure et al. 2019, [92] Kogure et al., 2018 [93], 2016 [94], Miranda-Furtado et al., 2015 [95]
NRCT
E = 115
C = 94
(43 PCOS and 51 healthy controls)
16RX- 2 wks adaptation
RX 3× wk (upper and lower body exercises)- 4 microcycles (4 weeks each)
1st macrocycle- 3×15 (60%, 65%, 70%, 65%)
2nd macrocycle- 3×12 (65%, 70%, 75%, 70%)
3rd macrocycle-3×10 (70%, 75%, 80%, 75%)
4th macrocycle 3×8 (75%, 80%, 85%, and 80%)
Hemotological
T, A, Glucose, Insulin, HOMA-IR, LH, FSH, E2, SHBG, FAI, 17-OHP, homocysteine
Anthropometric
Height, BW, BMI, WC, lean muscle mass (total LM, trunk LM, BF%, LM/height2), arm muscle area (cm), thigh muscle area (cm)
Questionnaire
PARQ, FSFI, HADS, SF-36
Other measurement
Telomere content
T, A, SHBG, fasting glucose, total LM, Trunk LM, BF%, LM/height2, WC, WHR
Total score (FSFI),
HADS, SF-36 (functional capacity), arm muscle area, maximum strength (bench press, leg press, leg extension), telomere content
Vizza et al., 2006, [17] RCTE = 15
C = 10
12
  1. RX 2× wk. supervised (3×12 upper/lower body) and 2× unsupervised sessions at home

  2. Control

Hemotological
HOMA-2, CRP, T, SHBG, FAI, HbA1c, fasting glucose, fasting insulin
Anthropometric
Height, BW, BMI, WC, HC, WHR, FM, LM, FFM, BF%
Hemodynamic
SBP, DBP
Questionnaire
PCOSQ, SF-36, DASS-21, Exercise self-efficacy scale
Menstrual cyclicity/reproductive
Menstrual cyclicity
Functional
Isometric maximum voluntary contraction upper and lower body
Other measurements
Feasibility outcomes (recruitment and attrition, adherence, adverse events, completion assessments)
BW, BMI, WC, LM, FFM, HbA1c, fasting glucose, trend upper body strength, lower body strength, PCOSQ (emotions, weight, infertility problems), SF-36 (physical functioning, vitality, social functioning, role emotional, mental health), DASS-21, exercise self efficacy
Ribeiro et al. 2016, [47] case controlE = 53
(27 PCOS and 26 control)
16RX 70% 1RM, 12 repetitions, (upper and lower body exercises)- mesocycles (4wk each)
Wk 1–3: 3× wk., intensity increased 5% wk.
Wk 4: 2× wk, intensity decreased 5%
Hemotological
T, A, T/A ratio, SHBG, FAI, fasting glucose, fasting insulin, HOMA-IR
Anthropometric
Weight, BMI, BF%
Hemodynamic
HR, SBP, DBP, MBP, HRV
N.S between groups (PCOS did show within group LF, HF, LH/HF ratio)
Saremi et al., 2016 [96], RCTE = 33
C = 31
8
  1. RX and placebo

  2. RX and calcium supplement

  3. Control

RX 3× wk. 1–2 sets 5–20 reps at 40–60% 1RM (upper and lower body)
Hemotological
Total C, Tg, LDL, HDL, HOMA-IR, fasting insulin, fasting glucose
Anthropometric
BW
Strength
chest press and leg press
Fasting insulin, fasting blood glucose, tg, cholesterol, LDL, HDL, HOMA-IR, upper/lower body strength, weight. AMH (combined only)
Ramos et al., 2016, [90]
NRCT
E = 94
C = 94
(43 PCOS and 51 healthy controls)
16RX: 3×10, %1RM (upper and lower body exercises)
4× microcycles 4 weeks each (60%, 65%, 70%, 75%)
Hemotological
T, A, glucose, insulin, HOMA-IR
Anthropometric
WC, BMI, Weight
Questionnaire
SF-36
T (PCOS and control), A (PCOS), WC (PCOS), SF-36 (functional capacity), vitality, social aspects, mental health (healthy controls)
Zhang et al., 2017, [88] RCTE = 101
C = 101
24
  1. Metformin (500 mg 3× day) and clomiphene (2× 50–100)- 5 consecutive days for 3 consecutive menstrual cycles

  2. Lifestyle (strengthening, 30 min each and stopped when patients began to sweat)

Hemotological
LH, T, LH/FSH, fasting insulin, TG
Anthropometric
WHR, BMI, BW
Menstrual cyclicity/reproductive
Left ovarian volume, right ovarian volume, endometrial thickness, menstrual recovery rate, ovulation rate, pregnancy rate
BW, BMI, LH, T, LH/FSH, fasting insulin, TG, left/right ovarian volumes, menstrual recovery, ovulation and pregnancy rate
Hosseini et al., 2019, [97] RCTE = 60
C = 60
8
  1. Control

  2. Water training (upper/lower trunk strength training) 3×12, 60 min

  3. RX 30 min 40–70% RM (does not list exercises)

  4. VitD

  5. VitD and water training

  6. Land training and VitD

Hemotological
AMH
Anthropometric
BW
AMH (training in water with vit D and Vit D)
Saeed et al., 2022, [98] case controlE = 143
C = 79
(PCOS and 64 non PCOS)
8RX 3×10, %1RM
Upper and Lower body exercises
Hemotological
Fasting glucose, fasting insulin, T, A
Anthropometric
Height, BMI, WC
Questionnaire
PARQ, SF-36
SF-36 (role functional, role physical, pain, energy)
Aqdas et al., 2022, [87] NRCTE = 28
A = 28
12Not describedHemotological
Total C, HDL, LDL, Tg,
Anthropometric
BMI
BMI, Total C, HDL, LDL, Tg

Table 2.

Summary exercise studies (aerobic and resistance, and resistance training in isolation).

Abbreviations: T, testosterone; SHBG, sex hormone binding globulin; E2, estradiol; LH, lutenizing hormone; FSH, follicle stimulating hormone; P, progesterone; DHEA-S, dehydroepiandrosterone; A, Androstenedione; 17-OHP, 17-Hydroxyprogesterone; FAI, free androgen index; TSH, thyroid stimulating hormone; PDG, pregnanediol-3-glucoronide; C, cholesterol; TC, total cholesterol; Tg, triglycerides; LDL, low density lipoprotein; HDL, high density lipoprotein; HOMA-IR, homeostatic model assessment insulin resistance; QUICKI, quantitative insulin-sensitivity check index; IGF-1, insulin growth factor; T4, thyroxine; CRP, C-reactive protein; WBC, white blood cells; BMI, body mass index; BF%, body fat percentage; FM, fat mass; FFM, fat free mass; AbFm, abdominal fat mass; WC, waist circumference; WHR, waist to hip ratio; HC, hip circumference; SO2S, sum of 2 skinfolds; REE, resting energy expenditure; SBP, systolic blood pressure; DBP, diastolic blood pressure; IPAQ, International physical activity questionnaire; HbA1c- glycated hemoglobin; HR, heart rate; HRR, heart rate reserve; VO2max, maximal oxygen consumption; VO2AT, maximal oxygen consumption at anaerobic threshold; VE/VCO2slope, minute ventilation-carbon dioxide production; AER+RX, aerobic plus resistance; RCT, randomized control trial; RM, repetition maximum; NRCT, non randomized control trial; BW, body weight; FFA, free fatty acid; BMD, bone mineral density; PCOSQ, Polycystic Ovary Syndrome Questionnaire; E1, estrone; E1-s, E1 sulphate; 5-DIOL, 5-androstene-3; ADT-G, androsterone glucuronide; 3G, androstane-3; 17G, 17-diol-17 glucuronide; BSA-S, Brief Scale for Anxiety; SF-36, Short form-36; NS, not significant; NEFA, non, esterified free fatty acids; RBC, red blood cell; HTC, hematocrit; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; PTL, platelets total level; TBW, total body water; BMR, basal metabolic rate; HRV, heart rate variability; CAT, continuous aerobic training; IAT, intermittent aerobic training; FSRI, Female sexual function index; FRS, figure rating scale; HITT, high intensity interval training; GGT, gamma-glutamyl transferase; ALT, alanine aminotransferase; A/P, Atherogenic index of plasma; TS/C, testosterone to cortisol ratio; VAT, visceral adipose tissue; VAI, visceral adiposity index; CES-D, Center for Epidemiologic Studies Depression Scale; STAI, State–Trait Anxiety Inventory; PSS, perceived stress scale; ACE, adverse childhood experience; TSST, Trier Social stress test; DASS-21, depression anxiety and stress score; IFG, impaired fasting glucose; RER, respiratory exchange ratio; PLT, platelets total level; GDR, glucose disposal rate; IL-6, interleukin-6.


For the resistance training interventions, adherence rates were not always reported across all studies. Of those that reported this, this ranged between 70% to 90% for supervised training [17, 80], 40–45% for home-based calisthenics training [17], or 60% overall for both supervised and home-based calisthenics training [17]. In addition, similar to the aerobic training studies, dropout rates were also not always reported across these studies. Of the studies that reported this, this ranged between 10%–50%, where a higher drop out rate was reported in studies that included a dietary restriction [79, 85].

Characteristics (e.g., age and BMI) were also similar as per the aerobic studies only (Section 2.1), and in addition, most studies also had similar exclusion criteria as per the aerobic training studies. Further, similar to the aerobic training studies, limited studies included PCOS participants with a BMI < 25.0 kg/m2 [83], nor did they report on ethnicity outcomes [17, 78, 79, 80, 81, 82, 84, 85, 86]. Furthermore, other baseline characteristics that were also not included in the aerobic training studies (e.g., family history, co morbidities, pain perception, sleep apnea, previous pregnancy etc.) were also not reported in these studies. Although it may be possible that some studies have reported these as supplementary materials, or this information may not be available due to the exclusion criteria across studies.

The benefits of resistance training interventions in PCOS ranged from improved body composition (e.g., reduced waist circumference, hip circumference, BMI, body weight, and improved lean muscle mass), improved insulin sensitivity and menstrual cyclicity, and quality of life (such as anxiety, depression). In addition, for studies that included normal weight PCOS, possible benefits following a resistance training intervention may include changes in body composition (e.g., waist circumference, hip circumference), shorter menstrual cycle intervals, and hematological changes (e.g., cholesterol).

A detailed list of outcomes for each of these studies and their findings are provided in Table 2.

2.3 Conclusion and future directions for research

A large number of exercise interventions have been evaluated in PCOS, and benefits are noted across aerobic, moderate and high intensity, lifestyle and resistance training interventions. Variability was noted across studies in terms of reporting baseline characteristics of PCOS, description of interventions, as well as reporting of co-interventions. Overall, while the benefits of exercise were noted across interventions, higher dropout rates are often noted in women with PCOS, which may affect overall study findings. Although this was not reported across all studies, future studies should also continue to report on both drop out and/or compliance rates across all interventions.

These findings will allow future research to determine as to which interventions would require further strategies for women with PCOS in order to improve overall adherence and compliance. Possible strategies could include the measurement of exercise self-efficacy at baseline to determine predictors of long-term adherence, as well as include a long-term follow-up component to better understand if additional barriers are noted for women with PCOS to adopt the lifestyle behavior change. Further, focus groups and/or interviews with study participants could also be incorporated, and their feedback could be integrated into the intervention to address for any other barriers. Furthermore, studies may also consider and test other methods of delivering the exercise interventions to improve compliance such as Telehealth, home based visits and/or online/zoom.

These strategies could also be incorporated for participants in the cultural and linguistically diverse community (CALD) and will allow researchers to better understand reasons for non-compliance and/or higher drop out which was reported in a few studies. This could also be coupled with further reporting of other baseline characteristics in PCOS to determine if there are any other contributing factors that may result in non-compliance, for example, physical and/or psychological, or whether participants may be using other co-interventions outside of the study that may be more effective as opposed to the intervention. Further, studies should also look to report other ethnicity measures (e.g., Ancestry, as well as those with limited English language proficiency), to better understand ethnic groups that may be at at risk of poorer outcomes and require ongoing management.

While the majority of studies included PCOS women with a BMI >25.0 kg/m2, most studies excluded participants with a history of conditions such as cardiovascular disease, metabolic syndrome, glucose intolerance etc. As women with PCOS are at an elevated risk for the development of these conditions, future studies should look to include these participants with a number of co-morbidities, in order to determine for differences between controls for both baseline characteristics, as well as overall response to exercise. In addition, further studies should also look to report on other outcomes such as previous pregnancies and/or whether they were diagnosed with previous gestational diabetes in pregnancy, in order to understand as to whether it may lead to changes in the metabolic profile and/or symptomology of PCOS versus non pregnant participants, or whether it may lead to differences in the response rate to exercise.

Also, limited studies included PCOS women with a BMI <25.0 kg/m2, and further studies are warranted to better understand both the baseline characteristics in this group (physical and psychological) and the benefits of exercise. Studies may also look to incorporate focus groups to better understand the lived experience in this group, and these findings could enable both the researchers and clinicians to incorporate recommendations to improve overall management and tailor interventions appropriately.

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Conflict of interest

The author declares no conflict of interest.

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Notes/thanks/other declarations

A big thankyou to my family (Raffaele, Rosa, Angela, Laura, Maurizio and Neil), niece and nephews (Chloe, Ollie, Patrick) for their ongoing support to allow me to continue contributing to important research. Also, to close friends (Claudia, Jodie, Maureen, Brunelle, Nancy, Mereani, Michelle, Lana, Kathy, Joanna, Sarah, Chantay) and supervisors at my current role (Christina and Sharon), I am forever thankful for your support, mentorship, feedback, and encouragement for me to work on this chapter and to contribute to this important work.

References

  1. 1. March WA, Moore VM, Willson KJ, Phillips DI, Norman RJ, Davies MJ. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Human Reproduction. 2010;25(2):544-551. DOI: 10.1093/humrep/dep399
  2. 2. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertility and Sterility. 2004;81(1):19-25. DOI: 10.1093/humrep/deh098
  3. 3. Escobar-Morreale HF. Polycystic ovary syndrome: Definition, aetiology, diagnosis and treatment. Nature Reviews. Endocrinology. 2018;14(5):270-284. DOI: 10.1038/nrendo.2018.24
  4. 4. Hoeger KM, Dokras A, Piltonen T. Update on PCOS: Consequences, challenges, and guiding treatment. The Journal of Clinical Endocrinology & Metabolism. 2021;106(3):e1071-e1e83. DOI: 10.1210/clinem/dgaa839
  5. 5. Stepto NK, Cassar S, Joham AE, Hutchison SK, Harrison CL, Goldstein RF, et al. Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic–hyperinsulaemic clamp. Human Reproduction. 2013;28(3):777-784. DOI: 10.1093/humrep/des463
  6. 6. Cassar S, Misso ML, Hopkins WG, Shaw CS, Teede HJ, Stepto NK. Insulin resistance in polycystic ovary syndrome: A systematic review and meta-analysis of euglycaemic–hyperinsulinaemic clamp studies. Human Reproduction. 2016;31(11):2619-2631. DOI: 10.1093/humrep/dew243
  7. 7. Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W, et al. The androgen excess and PCOS society criteria for the polycystic ovary syndrome: The complete task force report. Fertility and Sterility. 2009;91(2):456-488. DOI: 10.1016/j.fertnstert.2008.06.035
  8. 8. Dunaif A, Segal KR, Shelley DR, Green G, Dobrjansky A, Licholai T. Evidence for distinctive and intrinsic defects in insulin action in polycystic ovary syndrome. Diabetes. 1992;41(10):1257-1266. DOI: 10.2337/diab.41.10.1257
  9. 9. Melo AS, Ferriani RA, Navarro PA. Treatment of infertility in women with polycystic ovary syndrome: Approach to clinical practice. Clinics (São Paulo, Brazil). 2015;70(11):765-769. DOI: 10.6061/clinics/2015(11)09
  10. 10. Bloomgarden ZT. Second world congress on the insulin resistance syndrome: Insulin resistance syndrome and nonalcoholic fatty liver disease. Diabetes Care. 2005;28(6):1518. DOI: 10.2337/diacare.28.6.1518
  11. 11. Lin H, Liu M, Zhong D, Ng EHY, Liu J, Li J, et al. The prevalence and factors associated with anxiety-like and depression-like behaviors in women with polycystic ovary syndrome. Frontiers in Psychiatry. 2021;12:709674. DOI: 10.3389/fpsyt.2021.709674
  12. 12. Barnard L, Ferriday D, Guenther N, Strauss B, Balen AH, Dye L. Quality of life and psychological well being in polycystic ovary syndrome. Human Reproduction. 2007;22(8):2279-2286. DOI: 10.1093/humrep/dem108
  13. 13. Barry JA, Kuczmierczyk AR, Hardiman PJ. Anxiety and depression in polycystic ovary syndrome: A systematic review and meta-analysis. Human Reproduction. 2011;26(9):2442-2451. DOI: 10.1093/humrep/der197
  14. 14. Teede HJ, Misso ML, Deeks AA, Moran LJ, Stuckey BG, Wong JL, et al. Assessment and management of polycystic ovary syndrome: Summary of an evidence-based guideline. The Medical Journal of Australia. 2011;195(6):S65. DOI: 10.5694/mja11.10915
  15. 15. Ibañez J, Izquierdo M, Ia A, Forga L, Larrión JL, García-Unciti M, et al. Twice-weekly progressive resistance training decreases abdominal fat and improves insulin sensitivity in older men with type 2 diabetes. Diabetes Care. 2005;28(3):662-667. DOI: 10.2337/diacare.28.3.662
  16. 16. Qadir R, Sculthorpe NF, Todd T, Brown EC. Effectiveness of resistance training and associated program characteristics in patients at risk for type 2 diabetes: A systematic review and meta-analysis. Sports Medicine – Open. 2021;7(1):38. DOI: 10.1186/s40798-021-00321-x
  17. 17. Vizza L, Smith CA, Swaraj S, Agho K, Cheema BS. The feasibility of progressive resistance training in women with polycystic ovary syndrome: A pilot randomized controlled trial. BMC Sports Science, Medicine and Rehabilitation. 2016;8:14. DOI: 10.1186/s13102-016-0039-8
  18. 18. Misso M. International evidence-based guideline for the assessment and management of polycystic ovary syndrome 2018. National Health and Medical Research Council (NHMRC) on. 2018;2. Available from: https://www.monash.edu/__data/assets/pdf_file/0004/1412644/PCOS_Evidence-Based-Guidelines_20181009.pdf
  19. 19. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. USA: Lippincott Williams & Wilkins; 2013
  20. 20. Abazar E, Taghian F, Mardanian F, Forozandeh D. Effects of aerobic exercise on plasma lipoproteins in overweight and obese women with polycystic ovary syndrome. Advanced Biomedical Research. 2015;2005:4. DOI: 10.4103/2277-9175.153892
  21. 21. Al-Eisa E, Gabr SA, Alghadir AH. Effects of supervised aerobic training on the levels of anti-Mullerian hormone and adiposity measures in women with normo-ovulatory and polycystic ovary syndrome. JPMA The Journal of the Pakistan Medical Association. 2017;67(4):499-507
  22. 22. Covington JD, Bajpeyi S, Moro C, Tchoukalova YD, Ebenezer PJ, Burk DH, et al. Potential effects of aerobic exercise on the expression of perilipin 3 in the adipose tissue of women with polycystic ovary syndrome: A pilot study. European Journal of Endocrinology. 2015;172(1):47-58. DOI: 10.1530/EJE-14-0492
  23. 23. Elbandrawy A, Yousef A, Morgan E, Ewais N, Eid M, Elkholi S, et al. Effect of aerobic exercise on inflammatory markers in polycystic ovary syndrome: A randomized controlled trial. European Review for Medical & Pharmacological Sciences. 2022;26(10):3506-3513. DOI: 10.26355/eurrev_202205_28845
  24. 24. Giallauria F, Orio F, Palomba S, Lombardi G, Colao A, Vigorito C. Cardiovascular risk in women with polycystic ovary syndrome. Journal of Cardiovascular Medicine. 2008;9(10):987-992. DOI: 10.2459/JCM.0b013e32830b58d4
  25. 25. Kostrzewa-Nowak D, Nowak R, Jastrzębski Z, Zarębska A, Bichowska M, Drobnik-Kozakiewicz I, et al. Effect of 12-week-long aerobic training programme on body composition, aerobic capacity, complete blood count and blood lipid profile among young women. Biochemia Medica. 2015;25(1):103-113. DOI: 10.11613/BM.2015.013
  26. 26. Moro C, Pasarica M, Elkind-Hirsch K, Redman LM. Aerobic exercise training improves atrial natriuretic peptide and catecholamine-mediated lipolysis in obese women with polycystic ovary syndrome. The Journal of Clinical Endocrinology & Metabolism. 2009;94(7):2579-2586. DOI: 10.1210/jc.2009-0051
  27. 27. Palomba S, Giallauria F, Falbo A, Russo T, Oppedisano R, Tolino A, et al. Structured exercise training programme versus hypocaloric hyperproteic diet in obese polycystic ovary syndrome patients with anovulatory infertility: A 24-week pilot study. Human Reproduction. 2008;23(3):642-650. DOI: 10.1093/humrep/dem391
  28. 28. Ramanjaneya M, Abdalhakam I, Bettahi I, Bensila M, Jerobin J, Aye MM, et al. Effect of moderate aerobic exercise on complement activation pathways in polycystic ovary syndrome women. Frontiers in Endocrinology. 2022;12:740703. DOI: 10.3389/fendo.2021.740703
  29. 29. Vigorito C, Giallauria F, Palomba S, Cascella T, Manguso F, Lucci R, et al. Beneficial effects of a three-month structured exercise training program on cardiopulmonary functional capacity in young women with polycystic ovary syndrome. The Journal of Clinical Endocrinology & Metabolism. 2007;92(4):1379-1384. DOI: 10.1210/jc.2006-2794
  30. 30. Jedel E, Labrie F, Odén A, Holm G, Nilsson L, Janson PO, et al. Impact of electro-acupuncture and physical exercise on hyperandrogenism and oligo/amenorrhea in women with polycystic ovary syndrome: A randomized controlled trial. American Journal of Physiology. Endocrinology and Metabolism. 2011;300(1):E37-E45. DOI: 10.1152/ajpendo.00495.2010
  31. 31. Stener-Victorin E, Holm G, Janson PO, Gustafson D, Waern M. Acupuncture and physical exercise for affective symptoms and health-related quality of life in polycystic ovary syndrome: Secondary analysis from a randomized controlled trial. BMC Complementary and Alternative Medicine. 2013;13(1):1-8. DOI: 10.1186/1472-6882-13-131
  32. 32. Brown AJ, Setji TL, Sanders LL, Lowry KP, Otvos JD, Kraus WE, et al. Effects of exercise on lipoprotein particles in women with polycystic ovary syndrome. Medicine and Science in Sports and Exercise. 2009;41(3):497. DOI: 10.1249/MSS.0b013e31818c6c0c
  33. 33. Costa EC, DE Sá JCF, Stepto NK, Costa IBB, Farias-Junior LF, Moreira SDNT, et al. Aerobic Training Improves Quality of Life in Women with Polycystic Ovary Syndrome. Medicine & Science in Sports & Exercise. Jul 2018;50(7):1357-1366. DOI: 10.1249/MSS.0000000000001579. PMID: 29443823
  34. 34. Randeva HS, Lewandowski KC, Jz D, Brooke-Wavell K, O’Callaghan C, Czupryniak L, et al. Exercise decreases plasma total homocysteine in overweight young women with polycystic ovary syndrome. The Journal of Clinical Endocrinology & Metabolism. 2002;87(10):4496-4501. DOI: 10.1210/jc.2001-012056
  35. 35. Sa JC, Costa EC, da Silva E, Tamburús NY, Porta A, Medeiros LF, et al. Aerobic exercise improves cardiac autonomic modulation in women with polycystic ovary syndrome. International Journal of Cardiology. 2016;202:356-361. DOI: 10.1016/j.ijcard.2015.09.031
  36. 36. Stener-Victorin E, Jedel E, Janson PO, Sverrisdottir YB. Low-frequency electroacupuncture and physical exercise decrease high muscle sympathetic nerve activity in polycystic ovary syndrome. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 2009;2009:R387-R395. DOI: 10.1152/ajpregu.00197.2009
  37. 37. Benham JL, Booth JE, Corenblum B, Doucette S, Friedenreich CM, Rabi DM, et al. Exercise training and reproductive outcomes in women with polycystic ovary syndrome: A pilot randomized controlled trial. Clinical Endocrinology. 2021;95(2):332-343. DOI: 10.1111/cen.14452
  38. 38. Faryadian B, Tadibi V, Behpour N. Effect of 12-week high intensity interval training program on C-reactive protein and insulin resistance in women with polycystic ovary syndrome. Journal of Clinical & Diagnostic Research. 2019;13(9):CC01-CC04. DOI: 10.7860/JCDR/2019/41203.13106
  39. 39. Gaeini A, Satarifard S, Mohamadi F, Choobineh S. The effect of 12 weeks aerobic exercise on DHEAso4, 17OH-Progestron concentrations, number of follicles and menstrual condition of women with PCOS. Hormozgan Medical Journal. 2021;18(4):298-305
  40. 40. Harrison CL, Stepto NK, Hutchison SK, Teede HJ. The impact of intensified exercise training on insulin resistance and fitness in overweight and obese women with and without polycystic ovary syndrome. Clinical Endocrinology. 2012;76(3):351-357. DOI: 10.1111/j.1365-2265.2011.04160.x
  41. 41. Hutchison SK, Stepto NK, Harrison CL, Moran LJ, Strauss BJ, Teede HJ. Effects of exercise on insulin resistance and body composition in overweight and obese women with and without polycystic ovary syndrome. The Journal of Clinical Endocrinology & Metabolism. 2011;96(1):E48-E56. DOI: 10.1210/jc.2010-0828
  42. 42. Hutchison SK, Teede HJ, Rachoń D, Harrison CL, Strauss BJ, Stepto NK. Effect of exercise training on insulin sensitivity, mitochondria and computed tomography muscle attenuation in overweight women with and without polycystic ovary syndrome. Diabetologia. 2012;55:1424-1434. DOI: 10.1007/s00125-011-2442-8
  43. 43. Kogure GS, Lopes IP, Ribeiro VB, Mendes MC, Kodato S, Furtado CLM, et al. The effects of aerobic physical exercises on body image among women with polycystic ovary syndrome. Journal of Affective Disorders. 2020;262:350-358. DOI: 10.1016/j.jad.2019.11.025
  44. 44. Lopes IP, Ribeiro VB, Reis RM, Silva RC, Dutra de Souza HC, Kogure GS, et al. Comparison of the effect of intermittent and continuous aerobic physical training on sexual function of women with polycystic ovary syndrome: Randomized controlled trial. The Journal of Sexual Medicine. 2018;15(11):1609-1619. DOI: 10.1016/j.jsxm.2018.09.002
  45. 45. Mohammadi S, Monazzami A, Alavimilani S. Effects of eight-week high-intensity interval training on some metabolic, hormonal and cardiovascular indices in women with PCOS: A randomized controlled trail. BMC Sports Science, Medicine and Rehabilitation. 2023;15(1):47. DOI: 10.1186/s13102-023-00653-z
  46. 46. Moran LJ, Harrison CL, Hutchison SK, Stepto N, Strauss BJ, Teede HJ. Exercise decreases anti-Müllerian hormone in anovulatory overweight women with polycystic ovary syndrome–a pilot study. Hormone and Metabolic Research. 2011;2011:977-979. DOI: 10.1055/s-0031-1291208
  47. 47. Ribeiro VB, Lopes IP, Dos Reis RM, Silva RC, Mendes MC, Melo AS, et al. Continuous versus intermittent aerobic exercise in the improvement of quality of life for women with polycystic ovary syndrome: A randomized controlled trial. Journal of Health Psychology. 2021;26(9):1307-1317. DOI: 10.1177/1359105319869806
  48. 48. Roessler KK, Birkebaek C, Ravn P, Andersen MS, Glintborg D. Effects of exercise and group counselling on body composition and VO 2max in overweight women with polycystic ovary syndrome. Acta obstetricia et Gynecologica Scandinavica. 2013;92(3):272-277. DOI: 10.1111/aogs.12064
  49. 49. Scott D, Harrison CL, Hutchison S, De Courten B, Stepto NK. Exploring factors related to changes in body composition, insulin sensitivity and aerobic capacity in response to a 12-week exercise intervention in overweight and obese women with and without polycystic ovary syndrome. PLoS One. 2017;12(8):e0182412. DOI: 10.1371/journal.pone.0182412
  50. 50. Arentz S, Smith CA, Abbott J, Fahey P, Cheema BS, Bensoussan A. Combined lifestyle and herbal medicine in overweight women with polycystic ovary syndrome (PCOS): A randomized controlled trial. Phytotherapy Research. 2017;31(9):1330-1340. DOI: 10.1002/ptr.5858
  51. 51. Cooney LG, Milman LW, Hantsoo L, Kornfield S, Sammel MD, Allison KC, et al. Cognitive-behavioral therapy improves weight loss and quality of life in women with polycystic ovary syndrome: A pilot randomized clinical trial. Fertility and Sterility. 2018;110(1):161-171. DOI: 10.1016/j.fertnstert.2018.03.028
  52. 52. De Frène V, Verhofstadt L, Lammertyn J, Stuyver I, Buysse A, De Sutter P. Quality of life and body mass index in overweight adult women with polycystic ovary syndrome during a lifestyle modification program. Journal of Obstetric, Gynecologic, and Neonatal Nursing. 2015;44(5):587-599. DOI: 10.1111/1552-6909.12739
  53. 53. Dokras A, Sarwer DB, Allison KC, Milman L, Kris-Etherton PM, Kunselman AR, et al. Weight loss and lowering androgens predict improvements in health-related quality of life in women with PCOS. The Journal of Clinical Endocrinology & Metabolism. 2016;101(8):2966-2974. DOI: 10.1210/jc.2016-1896
  54. 54. Hoeger KM, Kochman L, Wixom N, Craig K, Miller RK, Guzick DS. A randomized, 48-week, placebo-controlled trial of intensive lifestyle modification and/or metformin therapy in overweight women with polycystic ovary syndrome: A pilot study. Fertility and Sterility. 2004;82(2):421-429. DOI: 10.1016/j.fertnstert.2004.02.104
  55. 55. Konopka AR, Asante A, Lanza IR, Robinson MM, Johnson ML, Dalla Man C, et al. Defects in mitochondrial efficiency and H2O2 emissions in obese women are restored to a lean phenotype with aerobic exercise training. Diabetes. 2015;64(6):2104-2115. DOI: 10.2337/db14-1701
  56. 56. Ladson G, Dodson WC, Sweet SD, Archibong AE, Kunselman AR, Demers LM, et al. The effects of metformin with lifestyle therapy in polycystic ovary syndrome: A randomized double-blind study. Fertility and Sterility. 2011;95(3):1059-1066. DOI: 10.1016/j.fertnstert.2010.12.002
  57. 57. Legro RS, Dodson WC, Kris-Etherton PM, Kunselman AR, Stetter CM, Williams NI, et al. Randomized controlled trial of preconception interventions in infertile women with polycystic ovary syndrome. The Journal of Clinical Endocrinology and Metabolism. 2015;100(11):4048-4058. DOI: 10.1210/jc.2015-2778
  58. 58. Mahoney D. Lifestyle modification intervention among infertile overweight and obese women with polycystic ovary syndrome. Journal of the American Association of Nurse Practitioners. 2014;26(6):301-308. DOI: 10.1002/2327-6924.12073
  59. 59. Manteghi G, Shahraki Z, Moghadam MN, Ghanbarpour MH. Pregnancy outcome in PCOS patients: The effects of letrozol combined with exercise. Journal für Klinische Endokrinologie und Stoffwechsel. 2021;14(3):128-132. DOI: 10.1007/s41969-021-00142-z
  60. 60. Nagelberg J, Burks H, Mucowski S, Shoupe D. The effect of home exercise on ovulation induction using clomiphene citrate in overweight underserved women with polycystic ovarian syndrome. Contraception and Reproductive Medicine. 2016;1(1):14. DOI: 10.1186/s40834-016-0025-2
  61. 61. Pandit U, Singh M, Ranjan R, Gupta V. The effect of exercise training on body composition, insulin resistance and high sensitivity C-reactive protein (Hs-CRP) in women with polycystic ovary syndrome: A Pilot Study From North India. Cureus. 2022;14(4):1-7, e23994. DOI: 10.7759/cureus.23994
  62. 62. Liao LM, Nesic J, Chadwick PM, Brooke-Wavell K, Prelevic GM. Exercise and body image distress in overweight and obese women with polycystic ovary syndrome: A pilot investigation. Gynecological Endocrinology. 2008;24(10):555-561. DOI: 10.1080/09513590802288226
  63. 63. Orio F, Muscogiuri G, Giallauria F, Savastano S, Bottiglieri P, Tafuri D, et al. Oral contraceptives versus physical exercise on cardiovascular and metabolic risk factors in women with polycystic ovary syndrome: A randomized controlled trial. Clinical Endocrinology. 2016;85(5):764-771. DOI: 10.1111/cen.13112
  64. 64. Gilani N, Zamani Rad F, Ebrahimi M, Haghshenas R. Effect of eight weeks endurance training on ovarian androgens in women with polycystic ovary syndrome: Application of multivariate longitudinal models. International Journal of Applied Exercise Physiology. 2019;8(2):657-672
  65. 65. McBreairty LE, Kazemi M, Chilibeck PD, Gordon JJ, Chizen DR, Zello GA. Effect of a pulse-based diet and aerobic exercise on bone measures and body composition in women with polycystic ovary syndrome: A randomized controlled trial. Bone Reports. 2020;12:100248. DOI: 10.1016/j.bonr.2020.100248
  66. 66. Kazemi M, Pierson RA, McBreairty LE, Chilibeck PD, Zello GA, Chizen DR. A randomized controlled trial of a lifestyle intervention with longitudinal follow-up on ovarian dysmorphology in women with polycystic ovary syndrome. Clinical Endocrinology. 2020;92(6):525-535. DOI: 10.1111/cen.14179
  67. 67. Wu X, Wu H, Sun W, Wang C. Improvement of anti-Müllerian hormone and oxidative stress through regular exercise in Chinese women with polycystic ovary syndrome. Hormones. 2021;20(2):339-345. DOI: 10.1007/s42000-020-00233-7
  68. 68. Philbois SV, Ribeiro VB, Tank J, Dos Reis RM, Gerlach DA, Souza HCD. Cardiovascular autonomic modulation differences between moderate-intensity continuous and high-intensity interval aerobic training in women with PCOS: A randomized trial. Front Endocrinology (Lausanne). 2022;13:1024844. DOI: 10.3389/fendo.2022.1024844
  69. 69. Samadi Z, Bambaeichi E, Valiani M, Shahshahan Z. Evaluation of changes in levels of Hyperandrogenism, hirsutism and menstrual regulation after a period of aquatic high intensity interval training in women with polycystic ovary syndrome. International Journal of Preventive Medicine. 2019;10:187. DOI: 10.4103/ijpvm.IJPVM_360_18
  70. 70. Guzick DS, Wing R, Smith D, Berga SL, Winters SJ. Endocrine consequences of weight loss in obese, hyperandrogenic, anovulatory women. Fertility and Sterility. 1994;61(4):598-604
  71. 71. Pasquali R, Gambineri A, Cavazza C, Ibarra Gasparini D, Ciampaglia W, Cognigni GE, et al. Heterogeneity in the responsiveness to long-term lifestyle intervention and predictability in obese women with polycystic ovary syndrome. European Journal of Endocrinology. 2011;164(1):53-60. DOI: 10.1530/EJE-10-0692
  72. 72. Dietz de Loos A, Jiskoot G, van den Berg-Emons R, Louwers Y, Beerthuizen A, van Busschbach J, et al. The effect of tailored short message service (SMS) on physical activity: Results from a three-component randomized controlled lifestyle intervention in women with PCOS. Journal of. Clinical Medicine. 2023;12(7):2466. DOI: 10.3390/jcm12072466
  73. 73. Redman LM, Elkind-Hirsch K, Ravussin E. Aerobic exercise in women with polycystic ovary syndrome improves ovarian morphology independent of changes in body composition. Fertility and Sterility. 2011;95(8):2696-2699. DOI: 10.1016/j.fertnstert.2011.01.137
  74. 74. Lu KT, Ho YC, Chang CL, Lan KC, Wu CC, Su YT. Evaluation of bodily pain associated with polycystic ovary syndrome: A review of health-related quality of life and potential risk factors. Biomedicine. 2022;10(12):3197. DOI: 10.3390/biomedicines10123197
  75. 75. Tasali E, Van Cauter E, Ehrmann DA. Polycystic ovary syndrome and obstructive sleep Apnea. Sleep Medicine Clinics. 2008;3(1):37-46. DOI: 10.1016/j.jsmc.2007.11.001
  76. 76. Engmann L, Jin S, Sun F, Legro RS, Polotsky AJ, Hansen KR, et al. Racial and ethnic differences in the polycystic ovary syndrome metabolic phenotype. American Journal of Obstetrics and Gynecology. 2017;216(5):493.e1. DOI: 10.1016/j.ajog.2017.01.003
  77. 77. Stanaway F, Cumming RG, Blyth F. Exclusions from clinical trials in Australia based on proficiency in English. The Medical Journal of Australia. 2017;207(1):36. DOI: 10.5694/mja16.01012
  78. 78. Bruner B, Chad K, Chizen D. Effects of exercise and nutritional counseling in women with polycystic ovary syndrome. Applied Physiology, Nutrition, and Metabolism. 2006;31(4):384-391. DOI: 10.1139/h06-007
  79. 79. Thomson RL, Buckley JD, Noakes M, Clifton PM, Norman RJ, Brinkworth GD. The effect of a hypocaloric diet with and without exercise training on body composition, cardiometabolic risk profile, and reproductive function in overweight and obese women with polycystic ovary syndrome. The Journal of Clinical Endocrinology and Metabolism. 2008;93(9):3373-3380. DOI: 10.1210/jc.2008-0751
  80. 80. Almenning I, Rieber-Mohn A, Lundgren KM, Shetelig Løvvik T, Garnæs KK, Moholdt T. Effects of high intensity interval training and strength training on metabolic, cardiovascular and hormonal outcomes in women with polycystic ovary syndrome: A pilot study. PLoS One. 2015;10(9):e0138793. DOI: 10.1371/journal.pone.0138793
  81. 81. Nasiri M, Monazzami A, Alavimilani S, Asemi Z. The effect of high intensity intermittent and combined (resistant and endurance) trainings on some anthropometric indices and aerobic performance in women with polycystic ovary syndrome: A randomized controlled clinical trial study. International Journal of Fertility and Sterility. 2022;16(4):268-274. DOI: 10.22074/ijfs.2022.551096.1279
  82. 82. Rao M, Khan AA, Adnan QUA. Effects of high-intensity interval training and strength training on levels of testosterone and physical activity among women with polycystic ovary syndrome. Obstetrics and Gynecology Science. 2022;65(4):368-375. DOI: 10.5468/ogs.22002
  83. 83. Turan V, Mutlu EK, Solmaz U, Ekin A, Tosun O, Tosun G, et al. Benefits of short-term structured exercise in non-overweight women with polycystic ovary syndrome: A prospective randomized controlled study. Journal of Physical Therapy Science. 2015;27(7):2293-2297. DOI: 10.1589/jpts.27.2293
  84. 84. Aubuchon M, Laughbaum N, Poetker A, Williams D, Thomas M. Supervised short-term nutrition and exercise promotes weight loss in overweight and obese patients with polycystic ovary syndrome. Fertility and Sterility. 2009;91(4):1336-1338. DOI: 10.1016/j.fertnstert.2008.03.028
  85. 85. Nybacka Å, Carlström K, Ståhle A, Nyrén S, Hellström PM, Hirschberg AL. Randomized comparison of the influence of dietary management and/or physical exercise on ovarian function and metabolic parameters in overweight women with polycystic ovary syndrome. Fertility and Sterility. 2011;96(6):1508-1513. DOI: 10.1016/j.fertnstert.2011.09.006
  86. 86. Curi DD, Fonseca AM, Marcondes JA, Almeida JA, Bagnoli VR, Soares JM Jr, et al. Metformin versus lifestyle changes in treating women with polycystic ovary syndrome. Gynecological Endocrinology. 2012;28(3):182-185. DOI: 10.3109/09513590.2011.583957
  87. 87. Aqdas A, Rafique S, Naeem E, Saleem N, Muneeb HN, Hamid MF, et al. Effects of resistance exercise on lipid profile and body mass index In women with poly cystic ovary syndrome: Effects of resistance exercise on women with poly cystic ovary syndrome. Pakistan BioMedical Journal. 2022;2022:109-113. DOI: 10.54393/pbmj.v5i4.367
  88. 88. Zhang J, Si Q, Li J. Therapeutic effects of metformin and clomiphene in combination with lifestyle intervention on infertility in women with obese polycystic ovary syndrome. Pakistan Journal of Medical Science. 2017;33(1):8-12. DOI: 10.12669/pjms.331.11764
  89. 89. Lara LAS, Ramos FKP, Kogure GS, Costa RS, Silva de Sá MF, Ferriani RA, et al. Impact of physical resistance training on the sexual function of women with polycystic ovary syndrome. The Journal of Sexual Medicine. 2015;12(7):1584-1590. DOI: 10.1111/jsm.12909
  90. 90. Ramos FK, Lara LA, Kogure GS, Silva RC, Ferriani RA, Silva de Sá MF, et al. Quality of life in women with polycystic ovary syndrome after a program of resistance exercise training. Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(7):340-347
  91. 91. Thomson RL, Buckley JD, Brinkworth GD. Perceived exercise barriers are reduced and benefits are improved with lifestyle modification in overweight and obese women with polycystic ovary syndrome: A randomised controlled trial. BMC Women’s Health. 2016;16:14. DOI: 10.1186/s12905-016-0292-8
  92. 92. Kogure GS, Miranda-Furtado CL, Pedroso DCC, Ribeiro VB, Eiras MC, Silva RC, et al. Effects of progressive resistance training on obesity indices in polycystic ovary syndrome and the relationship with telomere length. Journal of Physical Activity & Health. 2019;16(8):601-607. DOI: 10.1123/jpah.2018-0256
  93. 93. Kogure GS, Silva RC, Miranda-Furtado CL, Ribeiro VB, Pedroso DCC, Melo AS, et al. Hyperandrogenism enhances muscle strength after progressive resistance training, independent of body composition, in women with polycystic ovary syndrome. Journal of Strength and Conditioning Research. 2018;32(9):2642-2651. DOI: 10.1519/JSC.0000000000002714
  94. 94. Kogure GS, Miranda-Furtado CL, Silva RC, Melo AS, Ferriani RA, De Sá MF, et al. Resistance exercise impacts lean muscle mass in women with polycystic ovary syndrome. Medicine and Science in Sports and Exercise. 2016;48(4):589-598. DOI: 10.1249/MSS.0000000000000822
  95. 95. Miranda-Furtado CL, Ramos FKP, Kogure GS, Santana-Lemos BA, Ferriani RA, Calado RT, et al. A nonrandomized trial of progressive resistance training intervention in women with polycystic ovary syndrome and its implications in telomere content. Reproductive Sciences. 2016;23(5):644-654. DOI: 10.1177/1933719115611753
  96. 96. Saremi A, Yaghoubi MS. Effect of resistance exercises with calcium consumption on level of anti-mullerian hormone and some metabolic indices in women with polycystic ovarian syndrome. The Iranian Journal of Obstetrics, Gynecology and Infertility. 2016;18(180):7-15. DOI: 10.22038/IJOGI.2016.6581
  97. 97. Hosseini SA, Kazemi N, Shadmehri S, Jalili S, Ahmadi M. The effect of resistance training in water and land with vitamin D supplementation on anti-Mullerian hormone in women with polycystic ovary syndrome. Women’s Health Bulletin. 2019;6(2):1-6. DOI: 10.5812/whb.84882
  98. 98. Saeed A, Kemall F, Iqbal J, Sarwar R, Mustafa M, Tahir M. Effect of resistance exercise training program on quality of life in women with and without polycystic ovary syndrome; a cross sectional survey. Pakistan Journal of Medical & Health Sciences. 2022;16(7):956. DOI: 10.53350/pjmhs22167956

Written By

Lisa Vizza

Submitted: 04 August 2023 Reviewed: 08 September 2023 Published: 10 October 2023