Exposure to ambient air pollution with depressive symptoms and anxiety symptoms among adolescents: A national population-based study in China

Jiang, Qi; Luo, Xiaomin; Zheng, Ruimin; Xiang, Zhen; Zhu, Kaiheng; Feng, Yanan; Xiao, Pei; Zhang, Quan; Wu, Xufang; Fan, Yixi; Song, Ranran

doi:10.1016/j.jpsychires.2023.05.077

Cited by 8 publications

(3 citation statements)

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“…56 Third, modeled pollution data are subject to various sources of measurement error, 39 particularly Berkson-like error whereby estimates are smoother (less variable) than reality, leading to less precise, although unbiased, exposure-outcome estimates. 57,58 For instance, the 100 m 2 resolution, although an improvement over many previous studies, [59][60][61] would have masked hyperlocal variation (eg, differences between participants living on adjacent streets), to which NO 2 is especially prone due to its short decay function. 62 Additionally, the model estimated residential exposure, which would have masked variation due to behavior and time spent away from home.…”

Section: Limitationsmentioning

confidence: 99%

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Newbury,

Heron,

Kirkbride

et al. 2024

JAMA Netw Open

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ImportanceGrowing evidence associates air pollution exposure with various psychiatric disorders. However, the importance of early-life (eg, prenatal) air pollution exposure to mental health during youth is poorly understood, and few longitudinal studies have investigated the association of noise pollution with youth mental health.ObjectivesTo examine the longitudinal associations of air and noise pollution exposure in pregnancy, childhood, and adolescence with psychotic experiences, depression, and anxiety in youths from ages 13 to 24 years.Design, Setting, and ParticipantsThis cohort study used data from the Avon Longitudinal Study of Parents and Children, an ongoing longitudinal birth cohort founded in 1991 through 1993 in Southwest England, United Kingdom. The cohort includes over 14 000 infants with due dates between April 1, 1991, and December 31, 1992, who were subsequently followed up into adulthood. Data were analyzed October 29, 2021, to March 11, 2024.ExposuresA novel linkage (completed in 2020) was performed to link high-resolution (100 m2) estimates of nitrogen dioxide (NO2), fine particulate matter under 2.5 μm (PM2.5), and noise pollution to home addresses from pregnancy to 12 years of age.Main outcomes and measuresPsychotic experiences, depression, and anxiety were measured at ages 13, 18, and 24 years. Logistic regression models controlled for key individual-, family-, and area-level confounders.ResultsThis cohort study included 9065 participants who had any mental health data, of whom (with sample size varying by parameter) 51.4% (4657 of 9051) were female, 19.5% (1544 of 7910) reported psychotic experiences, 11.4% (947 of 8344) reported depression, and 9.7% (811 of 8398) reported anxiety. Mean (SD) age at follow-up was 24.5 (0.8) years. After covariate adjustment, IQR increases (0.72 μg/m3) in PM2.5 levels during pregnancy (adjusted odds ratio [AOR], 1.11 [95% CI, 1.04-1.19]; P = .002) and during childhood (AOR, 1.09 [95% CI, 1.00-1.10]; P = .04) were associated with elevated odds for psychotic experiences. Pregnancy PM2.5 exposure was also associated with depression (AOR, 1.10 [95% CI, 1.02-1.18]; P = .01). Higher noise pollution exposure in childhood (AOR, 1.19 [95% CI, 1.03-1.38]; P = .02) and adolescence (AOR, 1.22 [95% CI, 1.02-1.45]; P = .03) was associated with elevated odds for anxiety.Conclusions and RelevanceIn this longitudinal cohort study, early-life air and noise pollution exposure were prospectively associated with 3 common mental health problems from adolescence to young adulthood. There was a degree of specificity in terms of pollutant-timing-outcome associations. Interventions to reduce air and noise pollution exposure (eg, clean air zones) could potentially improve population mental health. Replication using quasi-experimental designs is now needed to shed further light on the underlying causes of these associations.

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Section: Limitationsmentioning

confidence: 99%

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Newbury,

Heron,

Kirkbride

et al. 2024

JAMA Netw Open

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“…With the rapid development of urban modernization and industrialization, the emissions of various harmful gases are increasing, especially the harmful NO 2 gas produced by the combustion of fossil fuels is not conducive to physical health, but also harmful to mental health. − The current Occupational Safety and Health Administration further lowered the 8 h weighted average allowable exposure limit for NO 2 from 5 to 3 ppm, indicating that even low levels of NO 2 gas can be harmful to human health . Therefore, detecting NO 2 with high sensitivity, fast response/recovery, and low detection limit [limit of detection (LOD)] is of vital importance.…”

Section: Introductionmentioning

confidence: 99%

Bulk Trapping Organic Semiconductor with Amino-Additive Enabling Ultrasensitive NO₂ Sensors

Yin,

Wang,

Xue

et al. 2024

ACS Appl. Mater. Interfaces

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Organic semiconductor (OSC) gas sensors have garnered considerable attention due to their promising selectivity and inherent flexibility. Introducing a functional group or modification layer is an important route to modulate the doping/ trapping state of the active layer and the gas absorption/desorption process. However, the majority of the functionalization lies in the surface/interface assembling process, which is difficult to control the functional group density. This in turn brings challenges for precise modulation of the charge transport and the doping/trapping density, which will affect the repeatability and reproducibility of sensing performance. Herein, we propose a facile bulk trapping strategy incorporating amino-terminated additive molecules via the vacuum deposition process, achieving ultrahigh sensitivity of ∼2000%/ppm at room temperature to NO 2 gas and approaching ∼3000%/ppm at 50 °C. Additionally, the device exhibits commendable reproducibility, stability, and low concentration detection ability, reaching down to several ppb, indicating promising potential for future applications. Comprehensive analysis of electrical properties and density functional theory calculations reveals that these exceptional properties arise from the favorable electrical characteristics of the bulk trapping structure, the high mobility of C8-BTBT, and the elevated adsorption energy of NO 2 . This approach enables the construction of stable and reproducible sensitive sensors and helps to understand the sensing mechanism in OSC gas sensors.

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“…The significant impact of social and economic factors on societal-level anxiety is widely recognized ( 11 , 12 ). Variations in the environment, including the Air Quality Index (AQI) among other factors, may also contribute to fluctuations in public anxiety levels ( 13–15 ). However, there has been relatively limited research on understanding how these factors interact comprehensively to shape public anxiety.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the situations and influencing factors of public anxiety in China: based on Baidu index data

Xie,

Huang,

Tan

et al. 2024

Front. Public Health

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BackgroundAnxiety disorders have emerged as one of the most prevalent mental health problems and health concerns. However, previous research has paid limited attention to measuring public anxiety from a broader perspective. Furthermore, while we know many factors that influence anxiety disorders, we still have an incomplete understanding of how these factors affect public anxiety. We aimed to quantify public anxiety from the perspective of Internet searches, and to analyze its spatiotemporal changing characteristics and influencing factors.MethodsThis study collected Baidu Index from 2014 to 2022 in 31 provinces in mainland China to measure the degree of public anxiety based on the Baidu Index from 2014 to 2022. The spatial autocorrelation analysis method was used to study the changing trends and spatial distribution characteristics of public anxiety. The influencing factors of public anxiety were studied using spatial statistical modeling methods.ResultsEmpirical analysis shows that the level of public anxiety in my country has continued to rise in recent years, with significant spatial clustering characteristics, especially in the eastern and central-southern regions. In addition, we constructed ordinary least squares (OLS) and geographically weighted regression (GWR) spatial statistical models to examine the relationship between social, economic, and environmental factors and public anxiety levels. We found that the GWR model that considers spatial correlation and dependence is significantly better than the OLS model in terms of fitting accuracy. Factors such as the number of college graduates, Internet traffic, and urbanization rate are significantly positively correlated with the level of public anxiety.ConclusionOur research results draw attention to public anxiety among policymakers, highlighting the necessity for a more extensive examination of anxiety issues, especially among university graduates, by the public and relevant authorities.

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Exposure to ambient air pollution with depressive symptoms and anxiety symptoms among adolescents: A national population-based study in China

Cited by 8 publications

References 53 publications

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Bulk Trapping Organic Semiconductor with Amino-Additive Enabling Ultrasensitive NO₂ Sensors

Analysis of the situations and influencing factors of public anxiety in China: based on Baidu index data

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Exposure to ambient air pollution with depressive symptoms and anxiety symptoms among adolescents: A national population-based study in China

Cited by 8 publications

References 53 publications

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Air and Noise Pollution Exposure in Early Life and Mental Health From Adolescence to Young Adulthood

Bulk Trapping Organic Semiconductor with Amino-Additive Enabling Ultrasensitive NO2 Sensors

Analysis of the situations and influencing factors of public anxiety in China: based on Baidu index data

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Bulk Trapping Organic Semiconductor with Amino-Additive Enabling Ultrasensitive NO₂ Sensors