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Long-term exposure to ambient air pollution and incidence of depression: A population-based cohort study in China.
Wei, Fang; Yu, Zhebin; Zhang, Xinhan; Wu, Mengyin; Wang, Jianbing; Shui, Liming; Lin, Hongbo; Jin, Mingjuan; Tang, Mengling; Chen, Kun.
  • Wei F; Department of Epidemiology and Biostatistics at School of Public Health and the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Ch
  • Yu Z; Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Zhang X; Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wu M; Department of Epidemiology and Biostatistics at School of Public Health and National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Wang J; Department of Epidemiology and Biostatistics at School of Public Health and National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Shui L; Health Commission of Ningbo, Zhejiang, China.
  • Lin H; The Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, China.
  • Jin M; Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: jinmj@zju.edu.cn.
  • Tang M; Department of Epidemiology and Biostatistics at School of Public Health and the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: tangml@zju.edu.cn.
  • Chen K; Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: ck@zju.edu.cn.
Sci Total Environ ; 804: 149986, 2022 Jan 15.
Article in English | MEDLINE | ID: covidwho-1525947
ABSTRACT

BACKGROUND:

Long-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent.

OBJECTIVES:

To investigate the effects of long-term air pollution exposure on depression risk prospectively in China.

METHODS:

The present study used data from Yinzhou Cohort on adults without depression at baseline, and followed up until April 2020. Two-year moving average concentrations of particulate matter with a diameter ≤ 2.5 µm (PM2.5), ≤10 µm (PM10) and nitrogen dioxide (NO2) were measured using land-use regression (LUR) models for each participant. Depression cases were ascertained using the Health Information System (HIS) of the local health administration by linking the unique identifiers. We conducted Cox regression models with time-varying exposures to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) of depression with each pollutant, after adjusting for a sequence of individual covariates as demographic characteristics, lifestyles, and comorbidity. Besides, physical activity, baseline potential depressive symptoms, cancer status, COVID-19 pandemic, different outcome definitions and air pollution exposure windows were considered in sensitivity analyses.

RESULTS:

Among the 30,712 adults with a mean age of 62.22 ± 11.25, 1024 incident depression cases were identified over totaling 98,619 person-years of observation. Interquartile range increments of the air pollutants were associated with increased risks of depression, and the corresponding HRs were 1.59 (95%CI 1.46, 1.72) for PM2.5, 1.49 (95%CI 1.35, 1.64) for PM10 and 1.58 (95%CI 1.42, 1.77) for NO2. Subgroup analyses suggested that participants without taking any protective measures towards air pollution were more susceptible. The results remained robust in all sensitivity analyses.

CONCLUSIONS:

Long-term exposure to ambient air pollution was identified as a risk factor for depression onset. Strategies to reduce air pollution are necessary to decrease the disease burden of depression.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2021.149986

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2021.149986