Abstract
Abstract Introduction While sleep quality in women is well known to be affected by hormonal factors such as menstrual cycle, pregnancy, and postpartum period, the connections between their sleep and socio-demographic characteristics are not widely studied. Our study objective was to examine the self-reported sleep problems among women of reproductive age in the US and their association with socio-demographic determinants of health as well as other health-related factors using the National Health and Nutrition Examination Survey (NHANES). Methods We analyzed a secondary data with 5,610 female participants aged 15 to 49 years who participated in the NHANES conducted during 2013 – 2018 to examine for the prevalence of self-reported sleep trouble as well as socio-demographic determinants (age, ethnicity, marital status, education, and income) and the presence of smoking and obesity. A design-based F-test and survey-based generalized linear model with Poisson family and log link function were performed to estimate the adjusted and unadjusted prevalence ratio (PR) with statistical significance of associated factors. Results The likelihood of trouble sleeping for those in the age group of 41 to 49 were significantly higher than those in the age group of 15 to 20 (PR 1.77 [95% CI 1.14-2.77]). Significantly more minority women including non-Hispanic Asian (PR 0.46 [95% CI 0.32-0.67]), Hispanic (PR 0.63 [95% CI 0.46-0.86]), and non-Hispanic black (PR 0.73 [95% CI 0.54-0.99]) reported less likely to have trouble sleeping than non-Hispanic multiracial group. When looking at marital status, married individuals reported less trouble sleeping (PR 0.83 [95% CI 0.80-0.99]) as compared to those who never married. Smoking was also associated with more trouble sleeping (PR 1.43 [95% CI 1.27-1.61]). Prevalence of reporting trouble sleeping was significantly higher for obese women compared to those with normal weight (PR 1.25 [95% CI 1.07-1.46]). There were no statistically significant differences in reported sleep trouble based on education status and income. Conclusion Using the large-scale population-based cross-sectional survey analysis, we identified that the problem of sleep disturbance was independently and positively associated with the higher age, unmarried, smokers and obese women in the reproductive age group. Support (if any)
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