Aug 2026· Pediatric Allergy and Immunology· Vol 37 8, pp.
e70446
· 0 citations· 28 references
Medicine
TL;DR
It is suggested that sleep behaviors causally influence childhood asthma risk and may represent modifiable targets for prevention and management.
Abstract
Objective
This study applied two-sample Mendelian randomization (MR) to elucidate causal relationships between sleep-related phenotypes and childhood asthma risk.
Methods
Instrumental variables for daytime napping, sleep disorders, chronotype, and fatigue were selected from European ancestry genome-wide association studies. Causal estimates were primarily derived using inverse-variance weighting (IVW), supplemented by sensitivity analyses including MR-Egger and MR-PRESSO. Instrument validity, heterogeneity, pleiotropy, and directionality were rigorously evaluated.
Results
IVW results demonstrated that genetic susceptibility to daytime napping (OR = 1.76; 95% CI: 1.07-2.88; p < .05), sleep disorders (OR = 1.35; 95% CI: 1.12-1.61; p < .05), and frequent fatigue (OR = 2.94; 95% CI: 1.61-5.38; p < .05) significantly increased asthma risk, whereas morning chronotype was protective (OR = 0.76; 95% CI: 0.61-0.98; p = .015). Sensitivity analyses supported these findings, with no evidence of pleiotropy or reverse causation.
Conclusions
These results suggest that sleep behaviors causally influence childhood asthma risk and may represent modifiable targets for prevention and management.
Findings indicate that genetically determined short sleep duration and insomnia symptoms are associated with mental and neurological problems, cardiovascular disease and musculoskeletal disorders, suggesting a potentially preventive, causal role of healthy sleeping patterns on chronic disease.
Marta H Hernandez, Camille Lassale, A. Camps-Vilaró et al.· Journal of Sleep Research· 0 citations
It is suggested that genetically predicted increased WP exerts beneficial effects against HF, partially mediated by obesity and sedentary habits, and targeting weight management and anti-sedentary interventions may mitigate HF risk in individuals with sarcopenia-related characteristics.
Yaping Zhang, Han Xu, Xinkai Qu et al.· The Cardiology· 0 citations
This study aims to evaluate the mediating effects of body mass index (BMI) on the association between obstructive sleep apnea (OSA) and hypertension using a two-sample multivariate Mendelian randomization (MR) study method.
Summary statistics from publicly available genome-wide association studies were used for univariate and multivariate MR analyses to estimate the causal relationships and mediating effects of BMI. The inverse variance weighted (IVW) method was used as the main method for effect estimation, with additional methods including weighted median (WME), weighted mode (WM), MR-Egger regression, and the simple mode method (SM). Heterogeneity and pleiotropy in the study were assessed using the IVW method and pleiotropy residual and outlier analysis in Mendelian randomization (MR-PRESSO).
The odds ratios (ORs) from univariate MR analyses regarding OSA and BMI on hypertension were 1.291 (95% CI: 1.111-1.500) and 1.981 (95% CI: 1.841-2.132), respectively. The multivariable MR analysis showed that the odds ratio for the association between OSA and hypertension was 1.051 (95% CI: 0.943-1.173). Further analysis indicated that BMI played a mediating role in the relationship between OSA and hypertension, with a mediation effect of 0.09 and a proportion of 34.6% (Sobel-test, P < .001).
OSA is a risk factor of hypertension, and BMI has a mediating effect on the association.
K. Deng, Liang Qi, Jiang Juxi et al.· American Journal of Hyperten...· 0 citations
Evidence is provided of a potential causal relationship between other cataract and anxiety, though findings were method-dependent and no significant associations were observed for senile cataract or most psychiatric disorders.
Dementia poses a substantial global health burden, necessitating public health focus on modifiable risk factors. While sleep duration has been linked to dementia risk, studies specifically addressing middle-aged and older Chinese adults remain limited. Using cross-sectional (n=12,187) and longitudinal (n=9,030, 4-year follow-up) data from CHARLS, along with two-sample Mendelian randomization (MR), we examined associations between sleep duration and dementia, and causality between insomnia and dementia. We observed the strongest dementia risk among individuals reporting extreme sleep durations (<5h or >10h), both cross-sectional (OR=2.99, 95% CI: 2.47-3.62, P<0.001) and longitudinally (HR=1.55, 95% CI: 1.25-1.91, P<0.001). Restricted cubic spline analyses demonstrated a significant U-shaped dose-response association (P for nonlinearity <0.001). MR findings provided suggestive evidence for a potential causal effect of insomnia on dementia risk (OR=1.06, 95% CI: 1.01-1.13, P=0.029). Sensitivity analyses confirmed robustness. Optimizing sleep duration and managing insomnia may help reduce dementia risk in Chinese middle-aged and older adults.
Xiaoqing Tao, Shan Wang, Li He et al.· Neurosciences research· 0 citations
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