Exposure to ambient black carbon and particulate matter during pregnancy in associations with risk of pre-eclampsia: A meta-analysis based on population-based studies.

Air pollution control protocols and policies formulated for PM2.5 and PM10 (particulate matter [PM] with an aerodynamic diameter of ≤2.5 and 10 µm), however, such protocols and policies have not been available for black carbon (BC). A growing number of studies have evaluated the association between long-term exposure to ambient air pollution with BC and PM and pre-eclampsia. We applied a meta-analysis to estimate pooled odds ratios (ORs) and 95 % confidence intervals (CIs) based on four exposure windows (first/second/third trimester and entire pregnancy). 24 studies meeting our selection criteria (8 for BC, 21 and 15 for PM2.5 and PM10) were finally included after screening studies published up to June 22, 2023. An increase of 1 µg/m3 BC during the second trimester and entire pregnancy were associated with a 16 % (OR: 1.16, 95 % CI: [1.02, 1.32]) and a 15 % (OR: 1.15, 95 % CI: [1.03, 1.29]) increased risk of pre-eclampsia, respectively. A 10 µg/m3 increase in second-trimester exposure to PM2.5 and PM10 was associated with a 1 % (OR: 1.01, 95 % CI: [1.00, 1.03]) and a 5 % (OR: 1.05, 95 % CI: [1.01, 1.10]) increased risk of pre-eclampsia. An 11 % (OR: 1.11, 95 % CI: [1.03, 1.21]) increased risk of pre-eclampsia was found to be associated with a 10 µg/m3 increase in PM10 exposure during the entire pregnancy. The results support the potential effect of exposure to ambient particulate pollutants on risk of pre-eclampsia and emphasize the necessity of strategies and protocols for controlling BC. Greater efforts in controlling ambient particulate pollution and especially BC are needed in order to prevent pregnant women from developing pre-eclampsia.

Loneliness and depression among community-dwelling older adults in China during the COVID-19 epidemic: The mediating role of social support.

The psychological condition of community-dwelling older adults is a global concern under coronavirus disease 2019. Loneliness is the key risk factor for depression among community-dwelling older adults. This study aims to explore the role of social support as a mediating factor in the relationship between depression and loneliness among community-dwelling older adults. We conducted a cross-sectional study in Chenzhou, Hunan Province, China, from June to December 2021. The sample consisted of 570 community-dwelling adults aged over 60 years. Data were collected through a general information questionnaire, the Social Support Rating Scale, the University of California at Los Angeles Loneliness Scale, and the Center for Epidemiological Survey, Depression Scale. Statistical Package for the Social Sciences PROCESS macro was used to examine the mediating effect of social support between loneliness and depression. This study found that depression was negatively associated with social support (r = -0.381, P < .001), but it was positively correlated with loneliness (r = 0.403, P < .001); loneliness was a predictor of depression (B = 0.333, P < .001). In addition, social support significantly mediated the relationship between loneliness and depression, with an indirect effect of 0.239 (95% Bootstrap CI -0.264 to -0.510), the overall effect value for depression was 0.572, accounting for 56.3% of the total variance in depression within this model. In conclusion, the findings suggest that social support plays a mediating role between depression and loneliness in older adults. This implies that interventions aimed at reducing loneliness and enhancing social support have the potential to alleviate depressive symptoms among this population. By addressing these factors, healthcare professionals and caregivers can promote the mental well-being of older adults and contribute to improved overall quality of life.