Sleep disturbances may influence lifestyle behaviours in women with self-reported polycystic ovary syndrome

2021 ◽  
pp. 1-25
Author(s):  
Christie J Bennett ◽  
Darren R Mansfield ◽  
Lin Mo ◽  
Anju E Joham ◽  
Sean W Cain ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Diet Quality ◽  
Sleep Disturbances ◽  
Latent Class ◽  
Polycystic Ovary ◽  
Dietary Guidelines ◽  
Poor Sleep ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Lifestyle Behaviours

Abstract Background: Polycystic ovary syndrome (PCOS) is associated with a higher prevalence of sleep disturbances and obesity. Treatment of PCOS includes modifying lifestyle behaviours associated with weight management. However, poor sleep in the non-PCOS population has been associated with poorer lifestyle behaviours. Objective: To investigate whether sleep disturbance confounds or modifies the association between lifestyle factors and PCOS. Design & Setting: This study was a cross-sectional analysis from the Australian Longitudinal Study on Women’s Health cohort aged 31-36 years in 2009 were analysed (n=6067, n=464 PCOS, n=5603 non-PCOS). Main outcome measures: Self-reported data were collected on PCOS, anthropometry, validated modified version of the Active Australia Physical Activity survey, validated food frequency questionnaire and sleep disturbances through latent class analysis. Results: Women with PCOS had greater adverse sleep symptoms including severe tiredness (p=0.001), difficulty sleeping (p<0.001) and restless sleep (p<0.001), compared to women without PCOS. Women with PCOS also had higher energy consumption (6911±2453 vs 6654±2215kJ, p=0.017), fibre intake (19.8±7.8 vs 18.9±6.9g, p=0.012) and diet quality (dietary guidelines index (DGI)) (88.1±11.6 vs 86.7±11.1, p=0.008), lower glycaemic index (50.2±4.0 vs 50.7±3.9, p=0.021) and increased sedentary behaviour (6.3±2.8 vs 5.9±2.8 hours, p=0.009). There was a significant interaction between PCOS and sleep disturbances for DGI (p=0.035), therefore only for women who had adequate sleep was PCOS associated with a higher DGI. For women with poorer sleep, there was no association between PCOS and DGI. Conclusion: The association between PCOS and improved diet quality may only be maintained if women can obtain enough good quality sleep.

scholarly journals MON-043 Sleep Disturbances in Women with and Without Polycystic Ovary Syndrome (PCOS) and Their Association with Lifestyle Factors (Diet, Physical Activity and Sitting Time)

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Christie Bennett ◽  
Darren Mansfield ◽  
Lin Mo ◽  
Allison Hodge ◽  
Anju Joham ◽  
...  
Keyword(s):  
Physical Activity ◽  
Polycystic Ovary Syndrome ◽  
Sedentary Behaviour ◽  
Energy Intake ◽  
Diet Quality ◽  
Sleep Disturbances ◽  
Polycystic Ovary ◽  
Sitting Time ◽  
Ovary Syndrome ◽  
Lifestyle Behaviours

Abstract Sleep disturbances in women with and without polycystic ovary syndrome (PCOS) and their association with lifestyle factors (diet, physical activity and sitting time) Bennett C1, Mansfield DR2, Mo L2, Hodge A3, Joham A4, 5, Cain SW6, Blumfield M1, Teede H4, 5, Moran LJ4 1. Be Active Sleep and Eat (BASE) Facility, Department of Nutrition and Dietetics, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria 2. Monash Lung and Sleep, Monash Health, Clayton, Victoria 3. Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 4. Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria 5. Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria 6. Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, Victoria Sleep disturbances are a risk factor for poorer lifestyle behaviours. While PCOS is associated with a higher prevalence of sleep disturbances, the relationship between sleep and lifestyle behaviours is unknown in PCOS. Self-reported data from the Australian Longitudinal Study on Women’s Health young cohort (31–36 years, n=6067, n=464 PCOS, n=5603 non-PCOS) were collected on PCOS, anthropometry, physical activity, sedentary behaviour, diet (74-item validated food frequency questionnaire) and sleeping behaviour (sleep quantity and adverse sleep symptoms). Multivariate regression models controlled for sleeping behaviour, BMI, age, marital status, education, income and area of residence. Women with PCOS reported greater adverse sleep symptoms, higher energy intake, diet quality (dietary guidelines index (DGI)), fibre intake and sedentary time and lower glycaemic index, compared to women without PCOS. This was not maintained for energy intake and sedentary behaviour on adjustment for confounders. For diet quality, there was an interaction between PCOS and sleep disturbances. Only for women with fewer sleep disturbances (~8 hours sleep/no adverse sleep symptoms) was PCOS associated with better diet quality (DGI higher by 3.14±0.86, p&lt;0.001), with no differences in diet quality for women with poorer sleep. Lifestyle behaviours in women with PCOS appear to be influenced by sleep quality and quantity. Nothing to disclose: CB, DM, LM, AH, AJ, SC, MB, HT, LM

scholarly journals Overnight Melatonin Concentration and Sleep Quality Are Associated With Clinical Features of Polycystic Ovary Syndrome

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A743-A743
Author(s):  
Adam T Evans ◽  
Heidi Vanden Brink ◽  
Jessica S Lim ◽  
Brittany Y Jarrett ◽  
Marla Elaine Lujan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Polycystic Ovary ◽  
Reproductive Hormones ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Ovary Syndrome ◽  
Diagnostic Features ◽  
Wrist Actigraphy

Abstract Introduction: Women with polycystic ovary syndrome (PCOS) have an increased incidence of sleep disturbances compared to healthy women. Circulating melatonin (MEL) is elevated in women with PCOS, thought to reflect an increased daytime and blunted peak in overnight MEL, consistent with an altered circadian rhythm. Whether circadian disruptions coincide with sleep disturbances in women with PCOS or their symptom severity is unclear. Objective: To determine whether altered MEL production coincides with reduced sleep quality in women with PCOS and to examine whether there is a relationship between MEL production, sleep disturbances and the diagnostic features of PCOS. Methods: Women with PCOS (n=22) and controls (n=12) were recruited prospectively. PCOS was defined based on the 2018 International Guideline. Controls exhibited no more than 1 diagnostic feature of PCOS. Women underwent a reproductive history, clinical exam, and transvaginal ultrasound. Fasting blood samples were obtained to measure reproductive hormones. Urine samples were collected in the evening and upon awakening on 1-2 days and assayed for urinary 6-sulfatoxymelatonin as a proxy for daytime and overnight MEL production, respectively. The night:day (N:D) MEL ratio was determined to assess the rhythm of MEL production. Sleep quality and duration were assessed using the Pittsburgh Sleep Quality Index (PSQI) and via overnight wrist actigraphy. Differences between measures of urinary MEL and sleep quality were analyzed using two tailed t-tests. Associations between diagnostic features of PCOS and sleep-related measures were computed using Pearson partial correlations after adjusting for BMI. Results: No differences were detected in overnight MEL, daytime MEL, or the N:D ratio in women with PCOS versus controls. PCOS group experienced reduced weekend sleep efficiency vs. controls (81.18% vs. 87.76% p&lt;0.05), albeit no differences were detected in PSQI scores, sleep duration or total sleep efficiency determined via wrist actigraphy between groups. Longer menstrual cycle length correlated with poor sleep quality as defined by PSQI (rho=0.3662, p&lt;0.05) and FNPO was positively associated with overnight MEL (rho=0.3586, p&lt;0.05). Conclusions: Day and night MEL production and sleep quality did not differ between women with PCOS and controls despite weekend sleep efficiency being reduced in women with PCOS. Diagnostic features of PCOS were associated with MEL production and sleep disturbances suggesting that women with a more severe clinical presentation of PCOS may be more likely to experience altered MEL production or sleep disturbances. Further studies with a larger sample size are needed to understand the link between degree of symptomology in PCOS, MEL production, and sleep disturbances.

scholarly journals Is polycystic ovary syndrome appropriately diagnosed by obstetricians and gynaecologists across China: a nationwide survey

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Deng Yan ◽  
Wang Yan-Fang ◽  
Zhu Shi-Yang ◽  
Ma Rui-Lin ◽  
Ding Xue-Song ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Diagnostic Criteria ◽  
Polycystic Ovary ◽  
Final Analysis ◽  
Nationwide Survey ◽  
Care Quality ◽  
Cross Sectional Survey ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Rotterdam Criteria

Abstract Background To describe the diagnostic criteria used and their application accuracy in the practice of polycystic ovary syndrome (PCOS) caring among obstetricians and gynaecologists across China. Methods This was an Online cross-sectional survey of Obstetricians and gynecologists involved in PCOS caring conducted via the largest continuing education platform of obstetrics and gynecology across China from September 2019 to November 2019. Results A total of 2,328 respondents were eligible for the final analysis. Of these, 94.5 % were general obstetricians and gynaecologists (Ge-ObGyn), and 5.5 % were reproductive endocrinologists (Re-ObGyn). Overall, the most frequently used criteria were the Androgen Excess and Polycystic Ovary Syndrome Society (AE-PCOS) criteria (48.2 %), followed by the Rotterdam criteria (35.7 %) and NIH criteria (12.1 %). Of the respondents, 31.3 % used their diagnostic criteria in their clinical practice. More respondents who chose the Rotterdam criteria could accurately apply the diagnostic criteria than those who chose the AE-PCOS criteria (41.2 % vs. 32.1 %, P < 0.001). Compared with Ge-ObGyn, Re-ObGyn were less likely to use the AE-PCOS criteria (adjusted odds ratio, 0.513; 95 % CI, 0.328–0.802; P < 0.05) and 1.492 times more likely to accurately use their criteria (95 % CI, 1.014–2.196; P < 0.05). Conclusions Less than one-third of obstetricians and gynaecologists across China could accurately use the diagnostic criteria they choose to diagnose PCOS. There is an urgent need to train obstetricians and gynaecologists on PCOS diagnosis in an effort to improve the medical care quality of patients with PCOS.

scholarly journals Link between autoimmune hypothyroidism and polycystic ovary syndrome.

2020 ◽  
Vol 27 (09) ◽  
pp. 1804-1808
Author(s):  
Anam Rehman ◽  
Shireen Jawed ◽  
Amna Rashid Tariq
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Thyroid Function ◽  
Polycystic Ovary ◽  
Thyroid Autoimmunity ◽  
Study Groups ◽  
Thyroid Peroxidase ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Autoimmune Hypothyroidism ◽  
Thyroid Peroxidase Antibody

Objectives: Polycystic ovary syndrome (PCOS) is a rampant endocrine disorder distressing women of child bearing age worldwide. Many current researches have detected the presence of some organ specific and non-specific autoantibodies in females with PCOS. Study Design: Cross Sectional study. Setting:  Aziz Fatimah Hospital, Faisalabad, Pakistan. Period: April to September 2017. Material & Methods: This study comprised of 88 female subjects of 17-35 years old. Participants were divided into four group’s i.e PCOS obese females, PCOS non-obese, obese females without PCOS and age matched controls. Thyroid function was evaluated by the measurement of serum TSH, FT3 and FT4 levels. Thyroid peroxidase antibody was detected as an indicator of thyroid autoimmunity. All parameters were measured by chemiluminescence immunoassay technique (CLIA). SPSS version 22 was used for the statistical analysis of the data. Results: Out of total 88 female participants, 38.6% were hypothyroid and 61.4% were euthyroid females. While on comparing the percentages of hypothyroidism among the study groups PCOS, non-PCOS patients and obese we found higher percentages of hypothyroidism among non-obese PCOS. Thyroid peroxidase antibody levels were higher in PCOS obese subjects. PCOS patients have 15 times more risk for hypothyroidism as compared to non-PCOS patients. Conclusion: Hypothyroidism was commonly found in PCOS patients with high levels of TPO-Antibody indicating that PCOS is an independent risk factor for hypothyroidism which suggests that evaluation of thyroid function and autoimmunity must be deliberated in PCOS patients.

scholarly journals Correlation of serum androgen and gonadotropin with anti-mullerian hormone in polycystic ovarian syndrome in Eastern Indian population

2019 ◽  
Vol 8 (1) ◽  
pp. 256
Author(s):  
Somnath Singh Raghuvanshi ◽  
Anirban Sinha ◽  
Animesh Maiti ◽  
Partha Pratim Chakraborty ◽  
Asish Kumar Basu ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovarian Syndrome ◽  
Pulse Generator ◽  
Polycystic Ovary ◽  
Serum Testosterone ◽  
Pulse Frequency ◽  
Strong Positive Correlation ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Ovarian Syndrome

Background: Ovarian steroidogenesis requires gonadotropin stimulation, Luteinizing Hormone (LH) is a key factor in the hyperandrogenaemia of the polycystic ovary syndrome. Progesterone is the primary regulator of Gonadotropin-Releasing Hormone (GnRH) pulse frequency; however, in the polycystic ovary syndrome, the GnRH pulse generator is relatively resistant to the negative feedback effects of progesterone.  Study aims to evaluate the association of Anti-mullerian hormone with serum androgen and gonadotropin level in adolescents and young women of Polycystic Ovary Syndrome (PCOS).Methods: This was a single centre observational Cross-sectional study carried out in the department of Endocrinology and metabolism, Medical College, Kolkata from March 2017 to January 2019. Total number of study subjects were 207 out of which 138 were cases.Results: The AMH had strong positive correlation with serum testosterone in both case and control groups (r 0.542, p<0.001 and r 0.57, p<0.001) respectively .After the adjustment of age and BMI , the AMH moderately positive  but extremely significant correlation with serum testosterone as compare to control.Conclusions: Hyperandrogenaemia and higher ratio of LH and FSH associated with higher serum AMH level is associated with the higher serum AMH in polycystic ovarian syndrome.

scholarly journals Mucin-1 expression in endometrium is higher in polycystic ovary syndrome than in normal women

2020 ◽  
Vol 39 (2) ◽  
pp. 74
Author(s):  
Uki Retno Budihastuti ◽  
Sri Sulistyowati ◽  
Eriana Melinawati ◽  
Yohan Pamuji Marbun
Keyword(s):  
Linear Regression ◽  
Polycystic Ovary Syndrome ◽  
Life Style ◽  
Polycystic Ovary ◽  
Endometrial Biopsy ◽  
Age At Menarche ◽  
Mucin 1 ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Normal Women

Background<br />The polycystic ovary syndrome (PCOS) is caused by endocrine system dysfunction in women. MUCIN-1 (MUC-1) expression is found in endometrial tissues, which leads to implantation process dysfunction because of imbalance of trophoblast adhesion process. This study was conducted to compare endometrial MUC-1 expression between PCOS and normal women considering all existing external variables.<br /><br />Methods<br />This cross-sectional study was conducted in General Hospital Dr. Moewardi Surakarta. Endometrial samples were obtained from 30 infertile PCOS women based on Rotterdam criteria, and 30 normal women. Life style and reproductive data such as age, menstrual problems, menstrual cycle, age at menarche, and BMI were collected. Subjects underwent endometrial biopsy in luteinizing hormone (LH) secretion phase LH + 5 days to LH + 10 days for immunohistochemistry (IHC) of MUC-1 expression. An independent-t and multiple linear regression test were used to analyze the data at significance level of p&lt;0.05. <br /><br />Results<br />Mean MUC-1 expression in the PCOS endometrium (49.66 ± 47.79) was significantly higher than in normal women (7.66 ± 14.55) (p=0.03). Multivariate linear regression model of life style and reproductive variables with MUC-1 showed that PCOS (b=29.54; 95% CI 9.57-49.49; p=0.004) and BMI (b= 29.99; 95% CI 5.91-54.07; p=0.001) significantly increase MUC-1 expression. PCOS (Beta=0.37) was more important than BMI (Beta=0.30) in increasing the MUC-1 expression. <br /><br />Conclusion<br />Expression of MUC-1 levels in the PCOS endometrium was higher than in normal women. This suggests that MUC-1 contributes to the unexplained reproductive failure in PCOS.

Polycystic Ovary Syndrome and Non-Suicidal Self-Injury: A community-based study

2021 ◽  
Author(s):  
Sophie Williams ◽  
Dean Fido ◽  
David Sheffield
Keyword(s):  
Suicidal Ideation ◽  
Polycystic Ovary Syndrome ◽  
Emotion Dysregulation ◽  
Polycystic Ovary ◽  
Indirect Pathway ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Self Injury ◽  
Suicidal Intention ◽  
Self Harm

Polycystic Ovary Syndrome (PCOS) is an endocrine condition that has been associated with atypical emotional regulation strategy use as well as elevated levels of depression, anxiety, self-harm, and suicidal ideation. Despite the existence of clinical screening guidance for this population, there is still little to know understanding of how non-suicidal self-injury and suicidal ideation and intention manifests in women with PCOS, and how this might differ from women without PCOS. Within this cross-sectional investigation, women with and without a diagnosis of PCOS (n = 418) completed validated metrics of emotion dysregulation, rumination, and non-suicidal self-injury, as well as self-reported indices of previous suicidal ideation and future suicidal intention. Group comparisons indicated that women with, relative to those without PCOS reported significantly greater metrics across all variables. Moreover, serial mediation analyses were conducted to test the ideation-to-action framework of suicide in women with PCOS, with the positive relationship between a PCOS diagnosis and future suicidal intention being explained through the indirect pathway of increased emotion dysregulation, recent suicidal ideation, and NSSI. Our findings call to action the need for international screening for suicide intention and self-harm in women with PCOS.

scholarly journals Prevalence of Self-reported Polycystic Ovary Syndrome and Profiles of Health Among Women of Different Generations: A Cross Sectional Study

2019 ◽  
Vol 01 (03) ◽  
pp. 141-147
Author(s):  
Jodie C. Avery ◽  
Lisa J. Moran ◽  
Vivienne Moore ◽  
Renae C. Fernandez ◽  
Melissa Whitrow ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Age Groups ◽  
South Australia ◽  
Cross Sectional Study ◽  
Age Group ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Younger Women

Objective: Although polycystic ovary syndrome (PCOS) is considered a lifelong disorder, very little is understood about the diagnosis and impact of this condition in women outside of the peak reproductive years. We examined the frequency of diagnosed PCOS and concurrent health conditions in women across the lifespan. Methods: Data were analysed from 1509 women aged 15–95 years participating in a cross-sectional, face-to-face population survey in South Australia, 2015. We assessed the prevalence of PCOS in 10-year age groups and the frequency of comorbidities in women with and without PCOS subgrouped by age (< 45, [Formula: see text] 45 years). The main outcome measures were Diagnosed PCOS and other chronic conditions; lifestyle factors. Logistic regression analyses determined the risk of comorbidities in women with PCOS adjusting for age and BMI. Results: Overall prevalence of PCOS was 5.6% (95% confidence interval (CI) 4.6–6.9%), peaking in the 35–44 year age group (9.1%), and lowest in those aged 15–24 (4.1%) or [Formula: see text] 65 (3.7%) years. Women with PCOS and aged <45 years were more likely to report diabetes (16.7% vs. 3.8%), cardiovascular disease (15.5% vs. 7.2%) and arthritis (15.5% vs. 7.2%) than their peers; these differences were diminished in the [Formula: see text] 45 year age group. The odds of diabetes and cardiovascular disease were more than doubled among women with PCOS (adjOR 2.23, 95% CI 1.49–4.31; adjOR 3.18, 95% CI 1.31–7.68). Conclusion: PCOS is underdiagnosed in young and post-menopausal women. Diabetes and cardiovascular disease are key comorbidities requiring greater attention in younger women with PCOS.

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