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      Lifestyle management in polycystic ovary syndrome – beyond diet and physical activity

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          Abstract

          Polycystic ovary syndrome (PCOS) is a common condition affecting reproductive-aged women with reproductive, metabolic and psychological consequences. Weight and lifestyle (diet, physical activity and behavioural) management are first-line therapy in international evidence-based guidelines for PCOS. While these recommend following population-level diet and physical activity guidelines, there is ongoing interest and research in the potential benefit of including psychological and sleep interventions, as well as a range of traditional, complimentary and integrative medicine (TCIM) approaches, for optimal management of PCOS. There is limited evidence to recommend a specific diet composition for PCOS with approaches including modifying protein, carbohydrate or fat quality or quantity generally having similar effects on the presentations of PCOS. With regards to physical activity, promising evidence supports the provision of vigorous aerobic exercise, which has been shown to improve body composition, cardiorespiratory fitness and insulin resistance. Psychological and sleep interventions are also important considerations, with women displaying poor emotional wellbeing and higher rates of clinical and subclinical sleep disturbance, potentially limiting their ability to make positive lifestyle change. While optimising sleep and emotional wellbeing may aid symptom management in PCOS, research exploring the efficacy of clinical interventions is lacking. Uptake of TCIM approaches, in particular supplement and herbal medicine use, by women with PCOS is growing. However, there is currently insufficient evidence to support integration into routine clinical practice. Research investigating inositol supplementation have produced the most promising findings, showing improved metabolic profiles and reduced hyperandrogenism. Findings for other supplements, herbal medicines, acupuncture and yoga is so far inconsistent, and to reduce heterogeneity more research in specific PCOS populations, (e.g. defined age and BMI ranges) and consistent approaches to intervention delivery, duration and comparators are needed. While there are a range of lifestyle components in addition to population-recommendations for diet and physical activity of potential benefit in PCOS, robust clinical trials are warranted to expand the relatively limited evidence-base regarding holistic lifestyle management. With consumer interest in holistic healthcare rising, healthcare providers will be required to broaden their knowledge pertaining to how these therapies can be safely and appropriately utilised as adjuncts to conventional medical management.

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          Most cited references292

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          Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome

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            Influence of diet on the gut microbiome and implications for human health

            Recent studies have suggested that the intestinal microbiome plays an important role in modulating risk of several chronic diseases, including inflammatory bowel disease, obesity, type 2 diabetes, cardiovascular disease, and cancer. At the same time, it is now understood that diet plays a significant role in shaping the microbiome, with experiments showing that dietary alterations can induce large, temporary microbial shifts within 24 h. Given this association, there may be significant therapeutic utility in altering microbial composition through diet. This review systematically evaluates current data regarding the effects of several common dietary components on intestinal microbiota. We show that consumption of particular types of food produces predictable shifts in existing host bacterial genera. Furthermore, the identity of these bacteria affects host immune and metabolic parameters, with broad implications for human health. Familiarity with these associations will be of tremendous use to the practitioner as well as the patient.
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              Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies.

              Aims To assess the relationship between duration of sleep and morbidity and mortality from coronary heart disease (CHD), stroke, and total cardiovascular disease (CVD). Methods and results We performed a systematic search of publications using MEDLINE (1966-2009), EMBASE (from 1980), the Cochrane Library, and manual searches without language restrictions. Studies were included if they were prospective, follow-up >3 years, had duration of sleep at baseline, and incident cases of CHD, stroke, or CVD. Relative risks (RR) and 95% confidence interval (CI) were pooled using a random-effect model. Overall, 15 studies (24 cohort samples) included 474 684 male and female participants (follow-up 6.9-25 years), and 16 067 events (4169 for CHD, 3478 for stroke, and 8420 for total CVD). Sleep duration was assessed by questionnaire and incident cases through certification and event registers. Short duration of sleep was associated with a greater risk of developing or dying of CHD (RR 1.48, 95% CI 1.22-1.80, P < 0.0001), stroke (1.15, 1.00-1.31, P = 0.047), but not total CVD (1.03, 0.93-1.15, P = 0.52) with no evidence of publication bias (P = 0.95, P = 0.30, and P = 0.46, respectively). Long duration of sleep was also associated with a greater risk of CHD (1.38, 1.15-1.66, P = 0.0005), stroke (1.65, 1.45-1.87, P < 0.0001), and total CVD (1.41, 1.19-1.68, P < 0.0001) with no evidence of publication bias (P = 0.92, P = 0.96, and P = 0.79, respectively). Conclusion Both short and long duration of sleep are predictors, or markers, of cardiovascular outcomes.
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                Author and article information

                Contributors
                stephanie.cowan@monash.edu
                Journal
                BMC Endocr Disord
                BMC Endocr Disord
                BMC Endocrine Disorders
                BioMed Central (London )
                1472-6823
                16 January 2023
                16 January 2023
                2023
                : 23
                : 14
                Affiliations
                [1 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Monash Centre for Health Research and Implementation, , Monash University, ; Clayton, Victoria Australia
                [2 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Eastern Health Clinical School, Monash University, ; Box Hill, Victoria Australia
                [3 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Health and Social Care Unit, , Monash University, ; Clayton, Victoria Australia
                [4 ]GRID grid.1010.0, ISNI 0000 0004 1936 7304, Robinson Research Institute, The University of Adelaide, ; North Adelaide, South Australia Australia
                [5 ]GRID grid.267827.e, ISNI 0000 0001 2292 3111, Te Tātai Hauora o Hine – National Centre for Women’s Health Research Aotearoa, , Te Herenga Waka - Victoria University of Wellington, ; Wellington, New Zealand
                [6 ]GRID grid.1027.4, ISNI 0000 0004 0409 2862, Centre for Mental Health, , Swinburne University of Technology, ; Hawthorn, Victoria Australia
                [7 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Department of Nutrition, Dietetics and Food, , Monash University, ; Notting Hill, Victoria Australia
                [8 ]GRID grid.1029.a, ISNI 0000 0000 9939 5719, NICM Health Research Institute, , Western Sydney University, ; Westmead, New South Wales Australia
                Author information
                http://orcid.org/0000-0001-6731-4221
                Article
                1208
                10.1186/s12902-022-01208-y
                9841505
                36647089
                84609cb0-ec6c-4aab-9872-1c8322cf620f
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 20 April 2022
                : 9 November 2022
                Funding
                Funded by: Jacka Foundation of Natural Therapies
                Funded by: National Health and Medical Research Council of Australia
                Funded by: National Health and Medical Research Council of Australia
                Funded by: FundRef http://dx.doi.org/10.13039/501100001030, National Heart Foundation of Australia;
                Categories
                Review
                Custom metadata
                © The Author(s) 2023

                Endocrinology & Diabetes
                polycystic ovary syndrome,diet,guideline,physical activity,sleep,cognitive behavioural therapy,quality of life,complementary medicine

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