scholarly journals Association of Sleep Characteristics and Night Shift Work with Polycystic Ovary Syndrome: A Cross-Sectional Study

2021 ◽  
Author(s):  
Shuyi Shao ◽  
Huanqiang Zhao ◽  
Zhiying Lu ◽  
Xiaohong Lei ◽  
Ying Zhang
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Shift Work ◽  
Chinese Women ◽  
Polycystic Ovary ◽  
Smoking Status ◽  
Night Shift ◽  
Ovary Syndrome ◽  
Night Shift Work

Abstract Background: The association between polycystic ovary syndrome (PCOS) and circadian rhythm has been established, but to date, investigations that describe the sleep-wake behavior of PCOS in China are limited. Here, we examined the association of sleep characteristics and night shift work with the risk of PCOS in Chinese women, and investigated their relationship to infertility in PCOS. Methods: From March 21, 2021, to April 31, 2021, a total of 3 927 Chinese women with or without PCOS were recruited online. All participants completed the WeChat-based electronic questionnaires. Sleep characteristics were measured by the Pittsburgh Sleep Quality Index.Results: A total of 2 871 women were extracted for final analysis. Sleep duration (OR, 0.857; 95% CI, 0.763-0.963), sleep midpoint (OR, 1.142; 95% CI, 1.049-1.244), sleep disturbance (OR,1.320; 95% CI, 0.957-1.146), daytime dysfunction (OR, 1.136; 95% CI, 1.030-1.253) and night shift work (OR, 1.628; 95% CI, 1.264-2.097) were associated with higher risk of PCOS. After adjusting for confounders including age, body mass index, smoking status, coffee and tea drinking status, sleep disturbance (OR, 1.314; 95% CI, 1.111-1.555), daytime dysfunction (OR, 1.143; 95% CI, 1.034-1.264) and night shift work (OR, 1.800; 95% CI, 1.388-2.333) remained associated. In addition, sleep disturbance (OR, 1.887; 95% CI, 1.400-2.542) and subjective sleep quality (OR, 1.299; 95% CI, 1.037-1.627) were related to infertility in women with PCOS, and sleep disturbance (OR, 1.750; 95% CI, 1.281-2.390) remained significant after adjusting for confounders.Conclusions: These results suggest that sleep disturbance, daytime dysfunction and night shift work were significantly associated with PCOS. Screening for sleep disturbance and providing appropriate treatment could be potential strategies to manage PCOS and its long-term complications.

scholarly journals Association between sleep quality and quality of life in nursing professionals working rotating shifts

2014 ◽  
Vol 48 (4) ◽  
pp. 594-601 ◽  
Author(s):  
Valéria de Castilho Palhares ◽  
José Eduardo Corrente ◽  
Beatriz Bojikian Matsubara
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Shift Work ◽  
Night Shift ◽  
Standard Form ◽  
Categorical Variables ◽  
Night Shift Work ◽  
Nursing Professionals

OBJECTIVE To analyze the association between sleep quality and quality of life of nursing professionals according to their work schedules.METHODS A prospective, cross-sectional, observational study was conducted between January and December 2010, with 264 nursing professionals, drawn from 989 subjects at Botucatu General Hospital and stratified by professional category. The Pittsburg Sleep Quality Index and the WHOQOL-bref were administered to evaluate sleep quality and quality of life, respectively. Self-reported demographic data were collected with a standard form. Continuous variables were reported as means and standard deviations, and categorical variables were expressed as proportions. Associations were evaluated using Spearman’s correlation coefficient. The association of night-shift work and gender with sleep disturbance was evaluated by logistic regression analysis using a model adjusted for age and considering sleep disturbance the dependent variable. The level of significance was p < 0.05.RESULTS Night-shift work was associated with severe worsening of at least one component of sleep quality in the model adjusted for age (OR = 1.91; 95%CI 1.04;3.50; p = 0.036). Female gender was associated with sleep disturbance (OR = 3.40; 95%CI 1.37;8.40; p = 0.008). Quality of life and quality of sleep were closely correlated (R = -0.56; p < 0.001).CONCLUSIONS Characteristics of the nursing profession affect sleep quality and quality of life, and these two variables are associated.

scholarly journals Association analysis between the polymorphisms of HSD17B5 and HSD17B6 and risk of polycystic ovary syndrome in Chinese population

2015 ◽  
Vol 172 (3) ◽  
pp. 227-233 ◽  
Author(s):  
Rong Ju ◽  
Wei Wu ◽  
Juan Fei ◽  
Yufeng Qin ◽  
Qiuqin Tang ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Chinese Population ◽  
Chinese Women ◽  
Polycystic Ovary ◽  
Control Group ◽  
Model Assessment ◽  
Nucleotide Polymorphisms ◽  
Ovary Syndrome ◽  
Significant Difference ◽  
High Level

ObjectiveTo assess whether single nucleotide polymorphisms of HSD17B5 (AKR1C3) (rs1937845 and rs12529) and HSD17B6 (rs898611) are associated with polycystic ovary syndrome (PCOS) in a Chinese population.DesignA case–control study was conducted to investigate the relation between HSD17B5 and HSD17B6 polymorphisms and PCOS.MethodsIn this study, 335 patients with PCOS and 354 controls were recruited. The genotypes of HSD17B5 (rs1937845 and rs12529) and HSD17B6 (rs898611) were detected by the TaqMan method.Results and conclusionsWe found that the genotypic frequencies of the rs1937845 polymorphism were different in subjects with PCOS compared with control, with the CT genotype being more commonly found in patients with PCOS than in controls (P=0.005). We observed a significantly 1.74-fold higher risk of CT genotype in the polymorphism rs1937845 in women with PCOS vs the control group (adjusted odds ratio (OR), 1.74; 95% CI=1.19–2.54; P=0.005). A similar, significant 1.47-fold higher risk (adjusted OR, 1.47; 95% CI=1.07–2.03; P=0.018) was demonstrated for T allele of polymorphism rs1937845 associated with PCOS. In patients with PCOS, the rs12529 (G>C) and rs1937845 (C>T) polymorphisms were strongly associated with the high level of testosterone. The TT carriers of polymorphism rs1937845 had a significantly increased homeostatic model assessment-B% (HOMA-B%) (P=0.045) and that might be associated with the high risk of insulin resistance. However, no significant difference was found in genotype or allele distributions of the polymorphisms rs12529 of HSD17B5 and rs898611 of HSD17B6 between patients with PCOS and controls. Additionally, the two polymorphisms of HSD17B5 are associated with hyperandrogenemia in patients with PCOS. In conclusion, our findings showed a significant statistical association between HSD17B5 rs1937845 and PCOS risk in Chinese women. The CT genotype and T allele frequency are influenced significantly to a higher extent in patients with PCOS than controls. Further studies are needed to confirm the results and find out the exact molecular mechanism of the polymorphism on the risk of hyperandrogenemia and PCOS.

scholarly journals Daytime Sleep Disturbance in Night Shift Work and the Role of PERIOD3

2018 ◽  
Vol 14 (03) ◽  
pp. 393-400 ◽  
Author(s):  
Philip Cheng ◽  
Gabriel Tallent ◽  
Helen J. Burgess ◽  
Kieulinh Michelle Tran ◽  
Thomas Roth ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Shift Work ◽  
Night Shift ◽  
Night Shift Work ◽  
Daytime Sleep

scholarly journals The risk of asthma is increased among women with polycystic ovary syndrome: a twin study

2019 ◽  
Vol 5 (3) ◽  
pp. 00018-2018 ◽  
Author(s):  
Louise Zierau ◽  
Howraman Meteran ◽  
Vibeke Backer ◽  
Svend Lindenberg ◽  
Axel Skytthe ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Smoking Status ◽  
International Classification Of Diseases ◽  
Ovary Syndrome ◽  
Classification Of Diseases ◽  
National Patient ◽  
The Individual ◽  
Danish Twin

BackgroundRecent registry studies have demonstrated a higher prevalence of asthma among women with polycystic ovary syndrome (PCOS). We aimed to assess the association and heritability of PCOS and asthma in a Danish twin cohort.MethodsData for 32 382 female twins from the Danish Twin Registry were included. Twins with PCOS were identified by searching the Danish National Patient Registry for International Classification of Diseases-10 code E28.2. Asthma was diagnosed by questionnaires.Results103 (0.3%) women had a PCOS diagnosis. The risk of asthma was increased among women with PCOS compared with women without (18% versus 9%, respectively; OR 2.11 (95% CI 1.13–3.96); p=0.02). After adjustment for age, body mass index, alcohol consumption and smoking status, the risk of asthma was still increased, but was no longer statistically significant (OR 1.54 (95% CI 0.75–3.17); p=0.24). Variance components analysis showed that shared environmental factors explained 49% (95% CI 24–68%) and unique environmental factors explained 51% (95% CI 32–76%) of the susceptibility to PCOS. For asthma, 44% (95% CI 28–61%) of the variance was explained by genetic factors, whereas 25% (95% CI 11–38%) was ascribable to shared environmental factors and 31% (95% CI 26–36%) to unique environmental factors.ConclusionThe risk of asthma is twice as high among female twins with PCOS. The individual susceptibility to PCOS is mainly due to environmental factors and not genetics.

Elevated Circulating Levels of Carnal ENST00000550337.1 Are Associated with Polycystic Ovary Syndrome in Chinese Women

2021 ◽  
pp. 1-7
Author(s):  
Yujuan Qi ◽  
Qianqian Yin ◽  
Juan Gu ◽  
Ying Liu ◽  
Qingqing Sun ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Peripheral Blood ◽  
Noncoding Rna ◽  
Chinese Women ◽  
Polycystic Ovary ◽  
Threshold Value ◽  
Expression Level ◽  
Ovary Syndrome ◽  
Blood Leukocytes ◽  
Cross Sectional

Objectives: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disease. Some studies reported that the development of PCOS may be closely related to insulin resistance (IR). Interestingly, the long noncoding RNA (lncRNA) ENST00000550337.1 in peripheral blood is mainly involved in glucose metabolism. Therefore, the purpose of our study was to explore the relationship between lncRNA ENST00000550337.1 level and PCOS patients. Materials and Methods: Seventy-five PCOS patients and 72 healthy controls were enrolled in this study. We used qRT-PCR to detect the expression level of lncRNA ENST00000550337.1 in peripheral blood leukocytes from patients with PCOS. We also investigated potential relationships between lncRNA ENST00000550337.1 and the endocrine parameters in PCOS. Results: We observed that the expression of lncRNA ENST00000550337.1 in PCOS patients was significantly higher than that in the control subjects and positively correlated with PCOS occurrence, waist circumference, waist-hip ratio, IR, fasting insulin levels, and blood glucose. The expression of lnc RNA ENST00000550337.1 was positively correlated with PCOS (p = 0.003). There were independent correlations between IR and expression of lncRNA ENST00000550337.1 in patients with PCOS. Patients with elevated lncRNA ENST00000550337.1 expression had significantly increased PCOS risk after adjusting for age and BMI. LncRNA ENST00000550337.1 expression level provided a sensitivity of 81.3% and a specificity of 78.1% with a threshold value of 6.4648 for the prediction of PCOS. The area under the ROC was 0.813. Limitations: There are some limitations to this study. First, the sample size was limited and the causal relationship between lncRNA ENST00000550337.1 and PCOS was not investigated due to the cross-sectional study design. Second, HOMA-IR does not fully accurately reflect the IR of patients. Conclusions: The present study indicated that lnc RNA ENST00000550337.1 was related to PCOS occurrence, and elevated levels may be a risk factor for PCOS women. In addition, lncRNA ENST00000550337.1 might promote PCOS development partially by increasing IR and can be used as a potential molecular marker in patients with PCOS.

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