RESUMO
Depression and sleep disturbances are highly prevalent health problems that have been suggested to be associated with vitamin D deficiency. This study investigated whether sleep disturbances affect the association between vitamin D and depressive symptoms. A total of 425 patients with depression were included in this study. Spearman correlation coefficients were chosen to assess the relation between vitamin D concentrations and depressive symptomatology (according to the PHQ-9 and HAMD-17 scores). The GLM Mediation Model in the Medmod module for data analysis in Jamovi 2.2.5 was used to analyze the mediation models for sleep disturbances. Vitamin D concentrations were significantly correlated with PHQ-9 and HAMD-17 scale scores. In addition, item 3 was suggested to have a mediating effect between vitamin D and depressive symptoms in the mediating model of PHQ-9, and item 4 was suggested to have a mediating effect between vitamin D and depressive symptoms in the mediating model of HAMD-17. Sleep disturbances (especially difficulty falling asleep) are mediators between vitamin D and depressive symptoms, suggesting that increasing vitamin D levels at the right time to regulate sleep disturbances may improve depression symptoms, yet further research is necessary.
RESUMO
Controversial results of the association between maternal body mass index (BMI) and risk of autism spectrum disorder (ASD) in offspring were reported among several studies. This meta-analysis was conducted to estimate the overall association between maternal BMI and risk of ASD in offspring. PubMed, EMBASE, Web of Science, and the Cochrane Library were searched until January 2016. Cohort and case-control studies addressing the association between maternal BMI and risk of ASD in offspring were included. We used random-effect models to estimate the summary relative risks (RRs), we also performed a dose-response meta-analysis to estimate the trend from the correlated log RR estimates across levels of BMI quantitatively. Totally, 6 cohort studies and 1 case-control study involving 8,403 cases and 509,167 participants were included for analysis. The summary RR (95% confidence interval) for ASD in offspring in relation to maternal underweight, overweight, and obesity vs. normal weight during pre-pregnancy or pregnancy, was 1.07 (0.93, 1.23), 1.28 (1.19, 1.36) and 1.36 (1.03, 1.78), respectively. A linear dose-response relationship was found, with a pooled RR of 1.16 (1.01, 1.33) for each 5 kg/m2. increment in maternal BMI. The present study suggests that excessive maternal BMI is associated with increased ASD risk in offspring.
RESUMO
BACKGROUND: Results of the relationships between diabetes and the risk of suicide death are inconclusive. This meta-analysis was conducted to assess this association. METHODS: We systematically searched PubMed, EMBASE, Web of Science and the Cochrane Library up to February 29, 2016 for relevant observational studies regarding the association between diabetes and risk of suicide. Random-effects models were used to calculate summary relative risk (RR) and 95% confidence interval (CI). RESULTS: 6 observational studies (8 independent reports) with a total of 3,075,214 participants and 3038 suicide deaths events were included in the meta-analysis. Overall, diabetes was not associated with risk of suicide deaths, with significant heterogeneity among studies observed (Summary RR=1.61, 95% CI: 0.91-2.83, Pheterogeneity<0.001, I2=97.2%). No publication bias was detected across studies, and both the subgroup analysis and sensitivity analysis suggested that the general result was robust. CONCLUSION: Our meta-analysis based on more than 3 million participants indicates that diabetes is not associated with increased risk of suicide death. Further well-designed prospective cohort studies are needed to confirm the findings of this meta-analysis.
