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Associations between exposure to various air pollutants and risk of metabolic syndrome: a systematic review and meta-analysis.
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- Author(s): Dai C;Dai C; Sun X; Sun X; Wu L; Wu L; Chen J; Chen J; Hu X; Hu X; Ding F; Ding F; Chen W; Chen W; Lei H; Lei H; Li X; Li X
- Source:International archives of occupational and environmental health [Int Arch Occup Environ Health] 2024 Aug; Vol. 97 (6), pp. 621-639. Date of Electronic Publication: 2024 May 11.
- Publication Type:Systematic Review; Journal Article; Meta-Analysis; Review
- Language:English
- Additional Information
- Source: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7512134 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1246 (Electronic) Linking ISSN: 03400131 NLM ISO Abbreviation: Int Arch Occup Environ Health Subsets: MEDLINE
- Publication Information: Original Publication: Berlin, New York : Springer-Verlag.
- Subject Terms: Metabolic Syndrome*/epidemiology ; Metabolic Syndrome*/chemically induced ; Air Pollutants*/adverse effects ; Air Pollutants*/analysis ; Particulate Matter*/adverse effects ; Particulate Matter*/analysis ; Environmental Exposure*/adverse effects; Humans ; Air Pollution/adverse effects ; Air Pollution/analysis ; Risk Factors
- Abstract: Background: Metabolic Syndrome (MetS) is a widely observed metabolic disorder that is increasingly prevalent worldwide, leading to substantial societal consequences. Previous studies have conducted two separate meta-analyses to investigate the relationship between MetS and air pollutants. However, these studies yielded conflicting results, necessitating a thorough systematic review and meta-analysis to reassess the link between different air pollutants and the risk of developing MetS.
Methods: We conducted a comprehensive search of relevant literature in databases including PubMed, Embase, Cochrane Library, and Web of Science up to October 9, 2023. The search was specifically restricted to publications in the English language. Following the screening of studies investigating the correlation between air pollution and MetS, we utilized random-effects models to calculate pooled effect sizes along with their respective 95% confidence intervals (CIs). We would like to highlight that this study has been registered with PROSPERO, and it can be identified by the registration number CRD42023484421.
Results: The study included twenty-four eligible studies. The results revealed that an increase of 10 μg/m 3 in annual concentrations of PM1 , PM2.5 , PM10 , NO2 , SO2 , and O3 was associated with a 29% increase in metabolic syndrome (MetS) risk for PM1 (OR = 1.29 [CI 1.07-1.54]), an 8% increase for PM2.5 (OR = 1.08 [CI 1.06-1.10]), a 17% increase for PM10 (OR = 1.17 [CI 1.08-1.27]), a 24% increase for NO2 (OR = 1.24 [CI 1.01-1.51]), a 19% increase for SO2 (OR = 1.19 [CI 1.04-1.36]), and a 10% increase for O3 (OR = 1.10 [CI 1.07-1.13]).
Conclusion: The findings of this study demonstrate a significant association between exposure to fine particulate matter (PM1 , PM2.5 , PM10 ), nitrogen dioxide (NO2 ), sulfur dioxide (SO2 ), ozone (O3 ), and the incidence of metabolic syndrome (MetS). Moreover, the results suggest that air pollution exposure could potentially contribute to the development of MetS in humans.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) - References: Alberti KG, Zimmet P, Shaw J (2006) Metabolic syndrome–a new world-wide definition. A consensus statement from the International Diabetes Federation. Diabet Med 23:469–480. https://doi.org/10.1111/j.1464-5491.2006.01858.x. (PMID: 10.1111/j.1464-5491.2006.01858.x)
Aragon MJ et al (2017) Serum-borne bioactivity caused by pulmonary multiwalled carbon nanotubes induces neuroinflammation via blood-brain barrier impairment. Proc Natl Acad Sci U S A 114(10):E1968-e1976. https://doi.org/10.1073/pnas.1616070114. (PMID: 10.1073/pnas.1616070114)
Assuncao N, Sudo FK, Drummond C, de Felice FG, Mattos P (2018) Metabolic syndrome and cognitive decline in the elderly: a systematic review. PLoS ONE 13(3):e0194990. https://doi.org/10.1371/journal.pone.0194990. (PMID: 10.1371/journal.pone.0194990)
Bates DV, Fish BR, Hatch TF, Mercer TT, Morrow PE (1966) Deposition and retention models for internal dosimetry of the human respiratory tract. Task group on lung dynamics. Health Phys 12(2):173–207.
Brook RD et al (2010) Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association. Circulation 121(21):2331–2378. https://doi.org/10.1161/CIR.0b013e3181dbece1. (PMID: 10.1161/CIR.0b013e3181dbece1)
Chen YC, Chin WS, Pan SC, Wu CD, Guo YL (2023) Long-term exposure to air pollution and the occurrence of metabolic syndrome and its components in Taiwan. Environ Health Perspect 131(1):17001. https://doi.org/10.1289/ehp10611. (PMID: 10.1289/ehp10611)
Du Y et al (2023) Association between household and outdoor air pollution and risk for metabolic syndrome among women in Beijing China. Int J Environ Health Res. https://doi.org/10.1080/09603123.2023.2275658. (PMID: 10.1080/09603123.2023.2275658)
Engin A (2017) The definition and prevalence of obesity and metabolic syndrome. Adv Exp Med Biol 960:1–17. https://doi.org/10.1007/978-3-319-48382-5_1. (PMID: 10.1007/978-3-319-48382-5_1)
Eze IC et al (2015) Long-term exposure to ambient air pollution and metabolic syndrome in adults. PLoS ONE 10(6):e0130337. https://doi.org/10.1371/journal.pone.0130337. (PMID: 10.1371/journal.pone.0130337)
Feng S et al (2022) Joint exposure to air pollution, ambient temperature and residential greenness and their association with metabolic syndrome (MetS): a large population-based study among Chinese adults. Environ Res 214:113699. https://doi.org/10.1016/j.envres.2022.113699. (PMID: 10.1016/j.envres.2022.113699)
Guo Q, Zhao Y, Xue T, Zhang J, Duan X (2022a) Association of PM(2.5) and its chemical compositions with metabolic syndrome: a nationwide study in middle-aged and older Chinese adults. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph192214671. (PMID: 10.3390/ijerph192214671)
Guo Q et al (2022ab) Physical activity attenuated the associations between ambient air pollutants and metabolic syndrome (MetS): a nationwide study across 28 provinces. Environ Pollut 315:120348. https://doi.org/10.1016/j.envpol.2022.120348. (PMID: 10.1016/j.envpol.2022.120348)
Han S et al (2022) Systemic inflammation accelerates the adverse effects of air pollution on metabolic syndrome: findings from the China health and Retirement Longitudinal Study (CHARLS). Environ Res 215:114340. https://doi.org/10.1016/j.envres.2022.114340. (PMID: 10.1016/j.envres.2022.114340)
Hirode G, Wong RJ (2020) Trends in the prevalence of metabolic syndrome in the United States, 2011–2016. JAMA 323(24):2526–2528. https://doi.org/10.1001/jama.2020.4501. (PMID: 10.1001/jama.2020.4501)
Hotamisligil GS (2006) Inflammation and metabolic disorders. Nature 444(7121):860–867. https://doi.org/10.1038/nature05485. (PMID: 10.1038/nature05485)
Hou J et al (2020) Long-term exposure to ambient air pollution attenuated the association of physical activity with metabolic syndrome in rural Chinese adults: a cross-sectional study. Environ Int 136:105459. https://doi.org/10.1016/j.envint.2020.105459. (PMID: 10.1016/j.envint.2020.105459)
Hutton B et al (2015) The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med 162(11):777–784. https://doi.org/10.7326/m14-2385. (PMID: 10.7326/m14-2385)
Kassi E, Pervanidou P, Kaltsas G, Chrousos G (2011) Metabolic syndrome: definitions and controversies. BMC Med 9:48. https://doi.org/10.1186/1741-7015-9-48. (PMID: 10.1186/1741-7015-9-48)
Lee S et al (2019) Fine particulate matter and incidence of metabolic syndrome in non-CVD patients: a nationwide population-based cohort study. Int J Hyg Environ Health 222(3):533–540. https://doi.org/10.1016/j.ijheh.2019.01.010. (PMID: 10.1016/j.ijheh.2019.01.010)
Letellier N et al (2022) Air pollution and metabolic disorders: dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics. Environ Res 209:112846. https://doi.org/10.1016/j.envres.2022.112846. (PMID: 10.1016/j.envres.2022.112846)
Li J et al (2023) Long-term effects of ambient PM(2.5) constituents on metabolic syndrome in Chinese children and adolescents. Environ Res 220:115238. https://doi.org/10.1016/j.envres.2023.115238. (PMID: 10.1016/j.envres.2023.115238)
Lim S et al (2010) Sarcopenic obesity: prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging (KLoSHA). Diabetes Care 33(7):1652–1654. https://doi.org/10.2337/dc10-0107. (PMID: 10.2337/dc10-0107)
Lippmann M, Yeates DB, Albert RE (1980) Deposition, retention, and clearance of inhaled particles. Br J Ind Med 37(4):337–362. https://doi.org/10.1136/oem.37.4.337. (PMID: 10.1136/oem.37.4.337)
Liu L et al (2022) Air pollution, residential greenness, and metabolic dysfunction biomarkers: analyses in the Chinese Longitudinal Healthy Longevity Survey. BMC Public Health 22(1):885. https://doi.org/10.1186/s12889-022-13126-8. (PMID: 10.1186/s12889-022-13126-8)
Liu F et al (2023) Exposure to air pollution and prevalence of metabolic syndrome: a nationwide study in China from 2011 to 2015. Sci Total Environ 855:158596. https://doi.org/10.1016/j.scitotenv.2022.158596. (PMID: 10.1016/j.scitotenv.2022.158596)
Lu CW, Yang KC, Chang HH, Lee LT, Chen CY, Huang KC (2013) Sarcopenic obesity is closely associated with metabolic syndrome. Obes Res Clin Pract 7(4):e301–e307. https://doi.org/10.1016/j.orcp.2012.02.003. (PMID: 10.1016/j.orcp.2012.02.003)
Matthiessen C et al (2018) Long-term exposure to airborne particulate matter and NO(2) and prevalent and incident metabolic syndrome—results from the Heinz Nixdorf Recall Study. Environ Int 116:74–82. https://doi.org/10.1016/j.envint.2018.02.035. (PMID: 10.1016/j.envint.2018.02.035)
Ning J et al (2021) Association between ambient particulate matter exposure and metabolic syndrome risk: a systematic review and meta-analysis. Sci Total Environ 782:146855. https://doi.org/10.1016/j.scitotenv.2021.146855. (PMID: 10.1016/j.scitotenv.2021.146855)
Organization WH (2023) Air Pollution. In. http://www.who.int/airpollution/en/ Accessed November 24.
Paoin K et al (2023) Associations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort. Int J Biometeorol 67(12):1965–1974. https://doi.org/10.1007/s00484-023-02554-9. (PMID: 10.1007/s00484-023-02554-9)
Rajkumar S et al (2019) Household air pollution from biomass-burning cookstoves and metabolic syndrome, blood lipid concentrations, and waist circumference in Honduran women: a cross-sectional study. Environ Res 170:46–55. https://doi.org/10.1016/j.envres.2018.12.010. (PMID: 10.1016/j.envres.2018.12.010)
Shamy M et al (2017) Association between exposure to ambient air particulates and metabolic syndrome components in a Saudi Arabian population. Int J Environ Res Public Health 15(1):27. https://doi.org/10.3390/ijerph15010027. (PMID: 10.3390/ijerph15010027)
Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 25(9):603–605. https://doi.org/10.1007/s10654-010-9491-z. (PMID: 10.1007/s10654-010-9491-z)
Stroup DF et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283:2008–2012. https://doi.org/10.1001/jama.283.15.2008. (PMID: 10.1001/jama.283.15.2008)
Voss S et al (2021) ENVINT-D-20-01309: Long-term exposure to air pollution, road traffic noise, residential greenness, and prevalent and incident metabolic syndrome: results from the population-based KORA F4/FF4 cohort in Augsburg. Germany Environ Int 147:106364. https://doi.org/10.1016/j.envint.2020.106364. (PMID: 10.1016/j.envint.2020.106364)
Wang Y et al (2022) Associations of long-term exposure to ambient air pollutants with metabolic syndrome: the Wuhan Chronic Disease Cohort Study (WCDCS). Environ Res 206:112549. https://doi.org/10.1016/j.envres.2021.112549. (PMID: 10.1016/j.envres.2021.112549)
Wang K, Chen M, Lin Y, Liu Y, Chang C, Ji Y (2023) Analysis on the related factors of physical exercise patterns for the elderly in six provinces of China. Chin J Health Educ 39(4):291–297. https://doi.org/10.16168/j.cnki.issn.1002-9982.2023.04.001. (PMID: 10.16168/j.cnki.issn.1002-9982.2023.04.001)
Wei Y et al (2016) Chronic exposure to air pollution particles increases the risk of obesity and metabolic syndrome: findings from a natural experiment in Beijing. Faseb J 30(6):2115–2122. https://doi.org/10.1096/fj.201500142. (PMID: 10.1096/fj.201500142)
WHO (2023) WHO Air Pollution. In. http://www.who.int/airpollution/en/ Accessed Nov 24.
Xiao Y et al (2023) Associations of PM(2.5) composition and green space with metabolic syndrome in a Chinese essential hypertensive population. Chemosphere 343:140243. https://doi.org/10.1016/j.chemosphere.2023.140243. (PMID: 10.1016/j.chemosphere.2023.140243)
Yang BY et al (2018) Long-term exposure to ambient air pollution (including PM(1)) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS). Environ Res 164:204–211. https://doi.org/10.1016/j.envres.2018.02.029. (PMID: 10.1016/j.envres.2018.02.029)
Yi W et al (2022) Associations of fine particulate matter constituents with metabolic syndrome and the mediating role of Apolipoprotein B: a multicenter study in middle-aged and elderly Chinese adults. Environ Sci Technol 56(14):10161–10171. https://doi.org/10.1021/acs.est.1c08448. (PMID: 10.1021/acs.est.1c08448)
Yu Y et al (2020) Air pollution, noise exposure, and metabolic syndrome—a cohort study in elderly Mexican-Americans in Sacramento area. Environ Int 134:105269. https://doi.org/10.1016/j.envint.2019.105269. (PMID: 10.1016/j.envint.2019.105269)
Zang ST et al (2021) Air pollution and metabolic syndrome risk: evidence from nine observational studies. Environ Res 202:111546. https://doi.org/10.1016/j.envres.2021.111546. (PMID: 10.1016/j.envres.2021.111546)
Zeng X et al (2015) The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta-analysis, and clinical practice guideline: a systematic review. J Evid Based Med 8(1):2–10. https://doi.org/10.1111/jebm.12141. (PMID: 10.1111/jebm.12141)
Zhang JS et al (2021) Long-term exposure to ambient air pollution and metabolic syndrome in children and adolescents: a national cross-sectional study in China. Environ Int 148:106383. https://doi.org/10.1016/j.envint.2021.106383. (PMID: 10.1016/j.envint.2021.106383)
Zheng XY et al (2022) Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong. China Environ Health 21(1):84. https://doi.org/10.1186/s12940-022-00888-2. (PMID: 10.1186/s12940-022-00888-2)
Zhu Z et al (2023) Association of walkability and NO(2) with metabolic syndrome: a cohort study in China. Environ Int 171:107731. https://doi.org/10.1016/j.envint.2023.107731. (PMID: 10.1016/j.envint.2023.107731) - Contributed Indexing: Keywords: Air pollution; Epidemiology; Meta-analysis; Metabolic syndrome
- Accession Number: 0 (Air Pollutants)
0 (Particulate Matter) - Publication Date: Date Created: 20240511 Date Completed: 20240712 Latest Revision: 20240716
- Publication Date: 20240716
- Accession Number: 10.1007/s00420-024-02072-0
- Accession Number: 38733545
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