Sleep Disorders

Association of the dietary index for gut microbiota with sleep disorder among US adults: the mediation effect of dietary inflammation index

Background

Previous studies have confirmed the relationship between gut microbiota and sleep disorders, characterized by the persistent inability to achieve adequate sleep, with dietary composition playing a key role in maintaining microbiota homeostasis. Our study aims to explore the relationship between the newly proposed Dietary Index for Gut Microbiota (DI-GM) and sleep disorders, as well as whether the Dietary Inflammatory Index (DII) mediates this relationship.

Methods

This study is based on data from 30,406 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, a cross-sectional survey that represents the U.S. adult population. We used multivariable logistic regression models to examine the relationship between DI-GM and sleep disorders. Subgroup interaction analyses were conducted to assess the stability of the results. Mediation analysis was employed to explore the effect of the Dietary Inflammatory Index (DII) on the relationship between DI-GM and sleep disorders.

Results

The DI-GM score was significantly negatively correlated with sleep disorders. After adjusting for covariates, each unit increase in DI-GM was associated with a 5% reduction in the prevalence of sleep disorders (p < 0.001). Additionally, there was a trend toward a decrease in the prevalence of sleep disorders with increasing DI-GM (trend p < 0.05). Dose-response curve analysis revealed a linear relationship between DI-GM and sleep disorders, with higher DI-GM scores being associated with lower prevalence of sleep disorders. DII was positively correlated with sleep disorders (p < 0.001) and decreased as DI-GM increased (β = -0.37, p < 0.001). Mediation analysis showed that DII significantly mediated the relationship between DI-GM and sleep disorders, with a mediation proportion of 27.36% (p < 0.001).

Conclusion

The results of this study indicate that the DI-GM score was significantly negatively correlated with sleep disorders. A higher DI-GM score is associated with a lower incidence of sleep disorders, while the DII significantly mediated the relationship between DI-GM and sleep disorders. Specifically, an increase in DII may attenuate the protective effect of DI-GM on sleep disorders.

Factors influencing sleep disorders in perimenopausal women: a systematic review and meta-analysis

Background

To determine the influencing factors of sleep disorders in perimenopausal women by Meta-analysis.

Methods

A comprehensive literature search was conducted by PubMed, Embase, CINAHL, and Web of Science(from inception to December 1,2023). Two researchers independently performed literature screening, quality evaluation and data extraction, and Stata16.0 software were used for Meta-analysis.

Results

A total of 12 studies involving 11,928 perimenopausal women with sleep disorders were included. The results of Meta-analysis showed that depression(OR = 2.73, 95%CI 1.65 ~ 4.52), hot flashes (OR = 2.70, 95%CI 1.81 ~ 4.02), chronic disease (OR = 1.39, 95%CI 1.24 ~ 1.56) and psychotropic drug use(OR = 3.19, 95%CI 1.31 ~ 7.77) were risk factors for sleep disorders in perimenopausal women (p < 0.05).

Conclusion

Sleep disorder is one of the most common symptoms in perimenopausal women, and its influencing factors should be paid attention to. Healthcare managers can further improve and standardize the prevention and management of sleep disorders in perimenopausal women according to the influencing factors, accurately identify high-risk groups, implement intervention measures, and reduce the severity and incidence of sleep disorders in perimenopausal women.

The relationship between physical activity and sleep disorders in adolescents: a chain-mediated model of anxiety and mobile phone dependence

BACKGROUND

Adolescent sleep disorders have emerged as a significant global public health issue. This study aims to investigate the relationship between physical activity and sleep disorders in adolescents, and to further analyze the chain mediating effects of anxiety and mobile phone dependence, with the goal of providing empirical evidence for related clinical research.

METHODS

This cross-sectional study collected data through an offline questionnaire survey conducted in 2024. The survey assessed physical activity, sleep disorders, anxiety, and mobile phone dependence. Descriptive statistics and correlation analyses were utilized to construct a chain mediation model.

RESULTS

A total of 495 valid samples were obtained, with 227 girls (45.9%) and 268 boys (54.1%). The average age of the participants was 13.37 years (SD = 1.05). The results indicated significant negative correlations between physical activity and adolescent anxiety, mobile phone dependence, and sleep disorders. Anxiety and mobile phone dependence fully mediated the relationship between physical activity and sleep disorders.

CONCLUSION

This study provides further insight into the underlying mechanisms linking physical activity and sleep disorders in adolescents. Physical activity not only has a direct negative effect on sleep disorders but also indirectly predicts sleep disorders through its impact on anxiety and mobile phone dependence. It is recommended that families and schools encourage increased physical activity among adolescents, as it can reduce anxiety and mobile phone dependence, thereby alleviating sleep disorders.