4.8 Article

Exposure to black carbon is associated with symptoms of depression: A retrospective cohort study in college students

期刊

ENVIRONMENT INTERNATIONAL
卷 157, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2021.106870

关键词

Black carbon; Depression; Anxiety; Cohort study; College student

资金

  1. National Key Research & Development Project of China Precision Medicine Initiative [2016YFC0900802]
  2. Program of Introducing Talents of Discipline to Universities [B20017]

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A retrospective cohort study in China found significant associations between long-term exposure to black carbon and symptoms of depression in incoming college students, especially in women and those with higher educational levels. Sensitivity analysis showed consistent effects of black carbon on depression from acute to long-term exposure.
Background: Previous studies have revealed a significant association of fine particulate matter (PM2.5) with emotional disorders. However, as a crucial component of PM2.5, little is known about the potential effect of exposure to black carbon (BC) on the symptoms of depression and anxiety. Objectives: To explore the associations of long-term exposure to BC during the past six years with the current symptoms of depression and anxiety in a group of incoming college students. Methods: This was a retrospective cohort study of incoming students in five universities of China. Symptoms of depression and anxiety during the past two weeks were measured by the Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder Scale-2 (GAD-2), respectively. Levels of BC and other environmental factors during 2013 similar to 2018 (six years prior to the recruitment) was obtained from public repositories and linked to individual data by home addresses. Averagely daily dose of BC exposure was estimated according to the respiratory rate. Demographic and behavioral variables were collected through a questionnaire. The associations of BC with symptoms of depression and anxiety were estimated by mixed linear models adjusting for socioeconomic and behavioral characteristics, and the principal components of multiple environmental exposures. Subgroup analysis was conducted to assess the effect modification by covariates. Overall effect of environmental mixture was evaluated by weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR). Results: A total of 20,079 participants was included in the current study. After adjustment for covariates, long-term BC exposure was significantly associated with symptoms of depression (beta = 0.17, P < 0.001) but not anxiety (beta = 0.07, P = 0.125). Effect modification by sex and parental educational level: BC was correlated with depressive symptoms in women (beta = 0.23, P < 0.001) but not in men (beta = 0.04, P = 0.581), and higher educational level was associated with decreased effect sizes of BC. Sensitivity analysis showed that the acute and short-term effects of BC on depression was consistent with its long-term exposure (beta varied from 0.18 to 0.20). WQS identified BC as the primary pollutant in association with symptoms of depression but not anxiety. BKMR identified no significant interaction between BC and other exposures. Conclusion: Exposure to BC is associated with symptoms of depression but not anxiety in college students, and the relationship is modified by sex and education.

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