Association between ambient NO2 exposure and health status in a floating population: findings from 338 cities in China
Yukun Shi, Yang Zhao, Guangcheng Wang, Jikai Xia, Luyang Wang, Hongyu Li, Wenhui Gao, Shijia Yuan, Ronghang Liu, Surong Zhao, Chunlei Han
Association between ambient NO2 exposure and health status in a floating population: findings from 338 cities in China
● Ambient NO2 may be associated with self-rated health (SRH) in floating populations.
● NO2 exposure was associated with an increased risk of poor SRH.
● Each grade increment of annual average NO2 increased the risk of poor SRH 2.4%.
● Floating individuals aged 31–49 years were at highest risk of NO2 associated SRH.
● Risk of NO2 associated SRH was higher in regions with mid-level per capita GDP.
Few studies investigated the effects of exposure to NO2 on health status in the Chinese floating population. The present cross-sectional study evaluated the association of ambient NO2 with health status in a floating population in China. Data on 168961 floating individuals in 338 cities were obtained from the 2017 China Migrants Dynamic Survey. The association between exposure to NO2 and self-related health (SRH) status was assessed by binary logistic regression analysis, both in the entire subject cohort and in subgroups assorted by socioeconomic levels and demographic characteristics. The robustness of the associations between NO2 exposure and health status was evaluated by sensitivity analyses. Each grade increment of annual average NO2 exposure was found to increase the risk of poor SRH by 2.4% in the floating population (odds ratio [OR] = 1.024, 95% confidence interval [CI]: 1.011–1.038). When subgrouped by age, subjects in the floating population aged 31–49 years had the highest NO2 associated health risk (OR = 1.036, 95% CI: 1.018–1.054). When subgrouped by per capita gross domestic product (PGDP), subjects in regions with mid-level PDGP had the highest NO2 associated SRH (OR = 1.116, 95% CI: 1.091–1.141). These findings indicated that exposure to NO2 increases the risk of poor SRH in the floating population, with individuals aged 31–49 years and those living in mid-level PGDP regions being more sensitive to the adverse effects of NO2. More effective strategies to reduce air pollution may improve the health status of the floating population in China.
Air pollution / NO2 / Floating population / Health status / China
[1] |
Al Ahad M A, Demšar U, Sullivan F, Kulu H. (2022). Does long-term air pollution exposure affect self-reported health and limiting long term illness disproportionately for ethnic minorities in the UK? A census-based individual level analysis. Applied Spatial Analysis and Policy, 15(4): 1557–1582
CrossRef
Google scholar
|
[2] |
Arifin E N, Hoon C Y, Slesman L, Tan A. (2022). Self-rated health and perceived environmental quality in Brunei Darussalam: a cross-sectional study. BMJ Open, 12(8): e060799
CrossRef
Google scholar
|
[3] |
Bécares L, Kneale D. (2022). Inequalities in mental health, self-rated health, and social support among sexual minority young adults during the COVID-19 pandemic: analyses from the UK Millennium Cohort Study. Social Psychiatry and Psychiatric Epidemiology, 57(10): 1979–1986
CrossRef
Google scholar
|
[4] |
Brook R D. (2008). Cardiovascular effects of air pollution. Clinical Science, 115(6): 175–187
CrossRef
Google scholar
|
[5] |
Cai J, Ge Y, Li H, Yang C, Liu C, Meng X, Wang W, Niu C, Kan L, Schikowski T, Yan B, Chillrud S, Kan H, Jin L. (2020). Application of land use regression to assess exposure and identify potential sources in PM, BC, NO concentrations. Atmospheric Environment, 223: 117267
CrossRef
Google scholar
|
[6] |
Chen Z, Wang B, Hu Y, Dai L, Liu Y, Wang J, Cao X, Wu Y, Zhou T, Cui X Q, Shi T.
CrossRef
Google scholar
|
[7] |
Fu Y, Lin W, Yang Y, Du R, Gao D. (2021). Analysis of diverse factors influencing the health status as well as medical and health service utilization in the floating elderly of China. BMC Health Services Research, 21(1): 438
CrossRef
Google scholar
|
[8] |
Goldberg M S, Wheeler A J, Burnett R T, Mayo N E, Valois M F, Brophy J M, Giannetti N. (2015). Physiological and perceived health effects from daily changes in air pollution and weather among persons with heart failure: a panel study. Journal of Exposure Science & Environmental Epidemiology, 25(2): 187–199
CrossRef
Google scholar
|
[9] |
Grazuleviciene R, Andrusaityte S, Rapalavicius A, Dedele A. (2022). Environmentally related gender health risks: findings from citizen science cross-sectional study. BMC Public Health, 22(1): 1426
CrossRef
Google scholar
|
[10] |
Han C, Xu R, Gao C, Yu W, Zhang Y, Han K, Yu P, Guo Y, Li S. (2021). Socioeconomic disparity in the association between long-term exposure to PM and mortality in 2640 Chinese counties. Environment International, 146: 106241
CrossRef
Google scholar
|
[11] |
Han C, Xu R, Ye T, Xie Y, Zhao Y, Liu H, Yu W, Zhang Y, Li S, Zhang Z.
CrossRef
Google scholar
|
[12] |
Hautekiet P, Saenen N, Demarest S, Keune H, Pelgrims I, Van Der Heyden J, De Clercq E, Nawrot T. (2022). Air pollution in association with mental and self-rated health and the mediating effect of physical activity. Environmental Health: A Global Access Science Source, 21(1): 29
|
[13] |
He M Z, Kinney P L, Li T, Chen C, Sun Q, Ban J, Wang J, Liu S L, Goldsmith J, Kioumourtzoglou M A. (2020). Short- and intermediate-term exposure to NO2 and mortality: a multi-county analysis in China. Environmental Pollution, 261: 114165
CrossRef
Google scholar
|
[14] |
Hu Y, Ji J, Zhao B. (2022). Restrictions on indoor and outdoor NO emissions to reduce disease burden for pediatric asthma in China: a modeling study. Lancet Regional Health. Western Pacific, 24: 100463
CrossRef
Google scholar
|
[15] |
Huang Z, Xu X, Ma M, Shen J. (2022). Assessment of NO2 population exposure from 2005 to 2020 in China. Environmental Science and Pollution Research International, 29(53): 80257–80271
CrossRef
Google scholar
|
[16] |
Huangfu P, Atkinson R. (2020). Long-term exposure to NO and O and all-cause and respiratory mortality: a systematic review and meta-analysis. Environment International, 144: 105998
CrossRef
Google scholar
|
[17] |
Jia H. (2022). The impact of basic public health services on migrants’ settlement intentions. PLoS One, 17(10): e0276188
CrossRef
Google scholar
|
[18] |
Ju K, Lu L, Chen T, Duan Z, Chen D, Liao W, Zhou Q, Xu Z, Wang W. (2022). Does long-term exposure to air pollution impair physical and mental health in the middle-aged and older adults? A causal empirical analysis based on a longitudinal nationwide cohort in China. Science of the Total Environment, 827: 154312
CrossRef
Google scholar
|
[19] |
Kan H. (2022). World Health Organization air quality guidelines 2021: implication for air pollution control and climate goal in China. Chinese Medical Journal, 135(5): 513–515
CrossRef
Google scholar
|
[20] |
Karimi A, Shirmardi M, Hadei M, Birgani Y T, Neisi A, Takdastan A, Goudarzi G. (2019). Concentrations and health effects of short- and long-term exposure to PM2.5, NO2, and O3 in ambient air of Ahvaz city, Iran (2014–2017). Ecotoxicology and Environmental Safety, 180: 542–548
CrossRef
Google scholar
|
[21] |
Li B, Cao Q, Mohiuddin M. (2020). Factors influencing the settlement intentions of Chinese migrants in cities: an analysis of air quality and higher income opportunity as predictors. International Journal of Environmental Research and Public Health, 17(20): 7432
CrossRef
Google scholar
|
[22] |
Li H, Zhao Y, Wang L, Liu H, Shi Y, Liu J, Chen H, Yang B, Shan H, Yuan S.
CrossRef
Google scholar
|
[23] |
Li W, Pei L, Li A, Luo K, Cao Y, Li R, Xu Q. (2019). Spatial variation in the effects of air pollution on cardiovascular mortality in Beijing, China. Environmental Science and Pollution Research International, 26(3): 2501–2511
CrossRef
Google scholar
|
[24] |
Li Y, Huang L, Xiang L, Dou D. (2021). The influence of medical insurance and social security cards on the floating population’s settlement intention. Cost Effectiveness and Resource Allocation: C/E, 19(1): 68
CrossRef
Google scholar
|
[25] |
Liu J. (2021). Mapping high resolution national daily NO exposure across China using an ensemble algorithm. Environmental Pollution, 279: 116932
CrossRef
Google scholar
|
[26] |
Ma C, Zhang Y, Li Y, Wang Y, Jiang Y, Wang X, Ma S. (2020). Healthcare, insurance, and medical expenditure of the floating population in Beijing, China. Frontiers in Public Health, 8: 375
CrossRef
Google scholar
|
[27] |
Meng Y, Han J, Qin S. (2018). The impact of health insurance policy on the health of the senior floating population-evidence from China. International Journal of Environmental Research and Public Health, 15(10): 2159
CrossRef
Google scholar
|
[28] |
Moyce S C, Schenker M B. (2018). Migrant workers and their occupational health and safety. Annual Review of Public Health, 39(1): 351–365
CrossRef
Google scholar
|
[29] |
Mutz J, Roscoe C J, Lewis C M. (2021). Exploring health in the UK Biobank: associations with sociodemographic characteristics, psychosocial factors, lifestyle and environmental exposures. BMC Medicine, 19(1): 240
CrossRef
Google scholar
|
[30] |
Pacheco H, Díaz-López S, Jarre E, Pacheco H, Méndez W, Zamora-Ledezma E. (2020). NO levels after the COVID-19 lockdown in Ecuador: a trade-off between environment and human health. Urban Climate, 34: 100674
CrossRef
Google scholar
|
[31] |
Qian Y, Li H, Rosenberg A, Li Q, Sarnat J, Papatheodorou S I, Schwartz J D, Liang D, Liu Y, Liu P.
CrossRef
Google scholar
|
[32] |
Shi Y, Zhao Y, Li H, Liu H, Wang L, Liu J, Chen H, Yang B, Shan H, Yuan S.
CrossRef
Google scholar
|
[33] |
ShiZ Z (2019). Analysis on Influencing Factors of Self-Rated Health of Elderly Migrants. Dordrecht: Atlantis Press
|
[34] |
Stroope S, Kent B, Zhang Y, Spiegelman D, Kandula N, Schachter A, Kanaya A, Shields A. (2022). Mental health and self-rated health among U.S. South Asians: the role of religious group involvement. Ethnicity & Health, 27(2): 388–406
CrossRef
Google scholar
|
[35] |
Van De Weijer M P, De Vries L P, Pelt D H M, Ligthart L, Willemsen G, Boomsma D I, De Geus E, Bartels M. (2022). Self-rated health when population health is challenged by the COVID-19 pandemic; a longitudinal study. Social Science & Medicine, 306: 115156
CrossRef
Google scholar
|
[36] |
Wang M, Zhao J, Wang Y, Mao Y, Zhao X, Huang P, Liu Q, Ma Y, Yao Y, Yang Z.
CrossRef
Google scholar
|
[37] |
Wang Y, Wang Z, Zhou C, Liu Y, Liu S. (2020b). On the settlement of the floating population in the pearl river delta: understanding the factors of permanent settlement intention versus housing purchase actions. Sustainability, 12(22): 9771
CrossRef
Google scholar
|
[38] |
Wang Y, Yue X, Zhang H, Su Y, Qin J. (2021). Relationship between urban floating population distribution and livability environment: evidence from Guangzhou’s urban district, China. Sustainability, 13(23): 13477
CrossRef
Google scholar
|
[39] |
Wei J, Liu S, Li Z, Liu C, Qin K, Liu X, Pinker R, Dickerson R, Lin J, Boersma K.
CrossRef
Google scholar
|
[40] |
Yu H. (2021). Health literacy and health outcomes in China’s floating population: mediating effects of health service. BMC Public Health, 21(1): 691
CrossRef
Google scholar
|
[41] |
Yu X, Liang J, Zhang Y. (2022). Air pollution and settlement intention: evidence from the china migrants dynamic survey. International Journal of Environmental Research and Public Health, 19(8): 4924
CrossRef
Google scholar
|
[42] |
Zhang X, Zhang L. (2022). The impact of instant reimbursement of cross-regional medical services on hospitalization costs incurred by the floating population: evidence from China. Healthcare, 10(6): 1099
CrossRef
Google scholar
|
[43] |
Zhao S, Liu S, Sun Y, Liu Y, Beazley R, Hou X. (2020). Assessing NO-related health effects by non-linear and linear methods on a national level. Science of the Total Environment, 744: 140909
CrossRef
Google scholar
|
/
〈 | 〉 |