Longer sleep duration and poor sleep quality as risk factors for hyperlipidaemia

Healthy diet habits attenuate the association of poor sleep quality with nonfatal ischemic stroke: A prospective rural cohort

OBJECTIVES

The combined impact of sleep quality and diet habits on ischemic stroke remains unclear, particularly in rural populations. Therefore, this study aimed to estimate the individual and joint associations of sleep quality and diet habits with nonfatal ischemic stroke among rural adults.

METHODS

A total of 22 536 participants free of stroke were enrolled from the Henan Rural Cohort. Sleep quality and diet habits were evaluated with the Pittsburgh Sleep Quality Index and food frequency questionnaire, respectively. The ischemic stroke incidence was analyzed using Kaplan-Meier curves. Cox regression and restricted cubic spline were employed to estimate the correlation of sleep quality or diet habits with ischemic stroke.

RESULTS

During an average 3.92 y of follow-up, 665 ischemic stroke patients were identified. The adjusted hazard ratio (95% confidence interval) of ischemic stroke risk compared with good sleep quality was 1.276 (1.057-1.542). The hazard ratio (95% confidence interval) of nonfatal ischemic stroke compared with unhealthy diet habits was 0.693 (0.589-0.814). The restricted cubic spline indicated that the risk of ischemic stroke increased with the increase of the Pittsburgh Sleep Quality Index. And the higher the diet quality score, the lower the risk of ischemic stroke. (Ptrend < 0.05). Further analysis indicated that the association of poor sleep quality with ischemic stroke was alleviated by healthy diet habits (P < 0.05). Additionally, a robust correlation remained after excluding individuals with ischemic stroke in the first year.

CONCLUSIONS

Poor sleep quality was positively associated with nonfatal ischemic stroke among rural adults, and healthy diet habits attenuated this relationship. Developing healthy diet and sleep habits may have potential health implications for preventing ischemic stroke.

TRIAL REGISTRATION

The Henan Rural Cohort Study has been registered at the Chinese Clinical Trial Register (registration no. ChiCTR-OOC-15006699). Date of registration: July 6, 2015.

Third-Trimester Maternal Dietary Patterns Are Associated with Sleep Health among Adolescent Offspring in a Mexico City Cohort

BACKGROUND

Maternal diet during gestation has been linked to infant sleep; whether associations persist through adolescence is unknown.

OBJECTIVES

We explored associations between trimester-specific maternal diet patterns and measures of sleep health among adolescent offspring in a Mexico City birth cohort.

METHODS

Data from 310 mother-adolescent dyads were analyzed. Maternal diet patterns were identified by principal component analysis derived from FFQs collected during each trimester of pregnancy. Sleep duration, midpoint, and fragmentation were obtained from 7-d actigraphy data when adolescents were between 12 and 20 y old. Unstratified and sex-stratified association analyses were conducted using linear regression models, adjusted for potential confounders.

RESULTS

Mean ± SD age of offspring was 15.1 ± 1.9 y, and 52.3% of the sample was female. Three diet patterns were identified during each trimester of pregnancy: the Prudent Diet (PD), high in lean proteins and vegetables; the Transitioning Mexican Diet (TMD), high in westernized foods; and the High Meat & Fat Diet (HMFD), high in meats and fat products. Mean ± SD sleep duration was 8.5 ± 1.5 h/night. Most associations were found in the third trimester. Specifically, PD maternal adherence was associated with shorter sleep duration among offspring (-0.57 h; 95% CI: -0.98, -0.16 h, in the highest tertile compared with the lowest) and earlier sleep midpoint among females (-0.77 h; 95% CI: -1.3, -0.26 h). Adherence to the HMFD and TMD was nonlinearly associated with less fragmented sleep, with the latter only evident among females.

CONCLUSIONS

Findings indicate that maternal dietary patterns, especially during the third trimester of pregnancy, may have long-term impacts on offspring sleep.