Long-term exposure to ambient air pollution and incidence of depression: A population-based cohort study in China

Long-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. To investigate the effects of long-term air pollution exposure on depression risk prospectively in China. The present study used data from Yinzhou Cohort on adults with...

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Published in:The Science of the total environment Vol. 804; p. 149986
Main Authors: Wei, Fang, Yu, Zhebin, Zhang, Xinhan, Wu, Mengyin, Wang, Jianbing, Shui, Liming, Lin, Hongbo, Jin, Mingjuan, Tang, Mengling, Chen, Kun
Format: Journal Article
Language:English
Published: Elsevier B.V 15-01-2022
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Abstract Long-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. To investigate the effects of long-term air pollution exposure on depression risk prospectively in China. 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. 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. 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. [Display omitted] •Higher air pollution level was associated with depression incidence in China.•Protective measures towards air pollution tended to be effective.•The largest prospective study to date in China to examine the associations.
AbstractList BACKGROUNDLong-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. OBJECTIVESTo investigate the effects of long-term air pollution exposure on depression risk prospectively in China. METHODSThe 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. RESULTSAmong 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. CONCLUSIONSLong-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.
Long-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. To investigate the effects of long-term air pollution exposure on depression risk prospectively in China. 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. 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. 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. [Display omitted] •Higher air pollution level was associated with depression incidence in China.•Protective measures towards air pollution tended to be effective.•The largest prospective study to date in China to examine the associations.
ArticleNumber 149986
Author Wu, Mengyin
Wang, Jianbing
Lin, Hongbo
Wei, Fang
Zhang, Xinhan
Tang, Mengling
Shui, Liming
Yu, Zhebin
Jin, Mingjuan
Chen, Kun
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  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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  givenname: Zhebin
  surname: Yu
  fullname: Yu, Zhebin
  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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  givenname: Xinhan
  surname: Zhang
  fullname: Zhang, Xinhan
  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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  givenname: Mengyin
  surname: Wu
  fullname: Wu, Mengyin
  organization: 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
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  givenname: Jianbing
  surname: Wang
  fullname: Wang, Jianbing
  organization: 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
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  givenname: Liming
  surname: Shui
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  organization: Health Commission of Ningbo, Zhejiang, China
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  givenname: Hongbo
  surname: Lin
  fullname: Lin, Hongbo
  organization: The Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, China
– sequence: 8
  givenname: Mingjuan
  surname: Jin
  fullname: Jin, Mingjuan
  email: jinmj@zju.edu.cn
  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
– sequence: 9
  givenname: Mengling
  surname: Tang
  fullname: Tang, Mengling
  email: tangml@zju.edu.cn
  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
– sequence: 10
  givenname: Kun
  surname: Chen
  fullname: Chen, Kun
  email: ck@zju.edu.cn
  organization: Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Snippet Long-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. To investigate the effects...
BACKGROUNDLong-term exposure to ambient air pollution was linked to depression incidence, although the results were limited and inconsistent. OBJECTIVESTo...
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SubjectTerms Air pollution
Cohort
Depression
Long-term exposure
Medicin och hälsovetenskap
Title Long-term exposure to ambient air pollution and incidence of depression: A population-based cohort study in China
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