Habitual physical activity is associated with improved anthropometric and androgenic profile in PCOS: A cross-sectional study
Abstract
Purpose To examine the effect of habitual physical activity (PA) on the metabolic and hormonal profiles of women with polycystic ovary syndrome.Materials and methods Anthropometric, metabolic and hormonal assessment and determination of habitual PA levels with a digital pedometer were evaluated in 84 women with PCOS and 67 age- and body mass index (BMI)-matched controls. PA status was defined according to number of steps (≥7500 steps, active, or <7500 steps, sedentary).Results BMI was lower in active women from both groups. Active PCOS women presented lower waist circumference (WC) and lipid accumulation product (LAP) values versus sedentary PCOS women. In the control group, active women also had lower WC, lower values for fasting and 120-min insulin, and lower LAP than sedentary controls. In the PCOS group, androgen levels were lower in active versus sedentary women (p = 0.001). In the control group, free androgen index (FAI) was also lower in active versus sedentary women (p = 0.018). Homeostasis model assessment of insulin resistance and 2000 daily step increments were independent predictors of FAI. Each 2000 daily step increment was associated with a decrease of 1.07 in FAI.Conclusions Habitual PA was associated with a better anthropometric and androgenic profile in PCOS.
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The use of wearables such as activity and sleep trackers, as well as mobile apps for symptom tracking, can keep clinicians informed about patients' progress, consequently promoting communication and engagement.
“The use of wearables such as activity [78,79] and sleep trackers [77,80], as well as mobile apps for symptom tracking [53,54], can keep clinicians informed about patients’ progress, consequently promoting communication and engagement.”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
Ten studies included information regarding the use of wearables.
“Ten studies included information regarding the use of wearables [77,78,79,80,81,82,83,84,85,86] (Supplementary File S3).”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
Publication dates of wearable studies spanned from 2009 to 2022, with three originating from China, two from Brazil, two from the USA, and one each from Croatia, Poland, and the UK.
“Publication dates spanned from 2009 to 2022, with three of them originating from China [81,85,86], two from Brazil [78,82], two from the USA [77], and one each from Croatia [84], Poland [83], and the UK [80].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
A study using digital pedometers showed that active women with PCOS had a better anthropometric and metabolic profile than sedentary ones of the same age, whilst an increment of 2000 steps per day in habitual physical activity was independently associated with decreased free androgen index.
“A study using digital pedometers showed that active women with PCOS had a better anthropometric and metabolic profile than sedentary ones of the same age, whilst an increment of 2000 steps per day in habitual physical activity was independently associated with decreased free androgen index [78].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
The sample size of included wearable studies ranged from 30 to 151, mean age of participants ranged from 15.4 years to 35.4 years, and mean BMI ranged from 20.4 kg/m2 to 38.1 kg/m2.
“The sample size of included studies ranged from 30 [77] to 151 [78], whilst the mean age of participants ranged from 15.4 years [79] to 35.4 years [77], and the mean BMI ranged from 20.4 kg/m2 [86] to 38.1 kg/m2 [79].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
Wearables used included activity trackers, sleep monitors, 24-h blood pressure monitors, and more invasive ones inserted into the abdominal interstitial tissue for continuous glucose monitoring.
“Wearables used included activity trackers [78,79,82], sleep monitors [77,80], 24-h blood pressure monitors [83], and more invasive ones inserted into the abdominal interstitial tissue for continuous glucose monitoring [81,84,85,86].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [78]
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Recent advances in the understanding and management of polycystic ovary syndrome
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Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
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- Authors
- Mario, F. M., Graff, S. K., & Spritzer, P. M.
- Affiliations
- Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR)
- Hospital de Clínicas de Porto Alegre (BR)
- Universidade Federal do Rio Grande do Sul (BR)
- Corresponding author
- Spritzer, P. M.
- ORCID
- Spritzer, P. M.
- Venue
- Journal of Endocrinological Investigation
- Published
- 2016-10-22
- Volume
- 40
- Issue
- 4
- Pages
- 377-384
- ISSN
- 0391-4097 (ISSN-L)
- 1720-8386
- OpenAlex
- W2533606354
- Cited by
- 47
- References
- 59
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 7 · 2022: 9 · 2021: 2 · 2020: 3 · 2019: 11 · 2018: 4 · 2017: 4 · 2016: 1
- FWCI
- 8.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Endocrinological Investigation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq INCT 573747/20083)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- polycystic ovary syndrome, physical activity, step count, sedentary behavior, androgens, free androgen index, insulin resistance, waist circumference, lipid accumulation product, body mass index, anthropometry, metabolic profile
- MeSH terms
- Adult, Androgens, Anthropometry, Cross-Sectional Studies, Female, Humans, Insulin, Insulin Resistance, Middle Aged, Polycystic Ovary Syndrome, Testosterone, Exercise, Waist Circumference
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