Abstract
Increasing air pollution and decreasing exposure to greenness may contribute to the metabolic syndrome (MetS). We examined associations between long-term exposure to residential greenness and air pollution and MetS incidence in the Bangkok Metropolitan Region, Thailand. Data from 1369 employees (aged 52–71 years) from the Electricity Generating Authority of Thailand cohort from 2002 to 2017 were analyzed. The greenness level within 500 m of each participant’s residence was measured using the satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The kriging approach was used to generate the average concentration of each air pollutant (PM10, CO, SO2, NO2, and O3) at the sub-district level. The average long-term exposure to air pollution and greenness for each participant was calculated over the same period of person-time. Cox proportional hazards models were used to analyze the greenness-air pollution-MetS associations. The adjusted hazard ratio of MetS was 1.42 (95% confidence interval (CI): 1.32, 1.53), 1.22 (95% CI: 1.15, 1.30), and 2.0 (95% CI: 1.82, 2.20), per interquartile range increase in PM10 (9.5 μg/m3), SO2 (0.9 ppb), and CO (0.3 ppm), respectively. We found no clear association between NDVI or EVI and the incidence of MetS. On the contrary, the incident MetS was positively associated with NDVI and EVI for participants exposed to PM10 at concentrations more than 50 μg/m3. In summary, the incidence of MetS was positively associated with long-term exposure to air pollution. In areas with high levels of air pollution, green spaces may not benefit health outcomes.
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References
Aekplakorn W, Chongsuvivatwong V, Tatsanavivat P, Suriyawongpaisal P (2011) Prevalence of metabolic syndrome defined by the International Diabetes Federation and National Cholesterol Education Program criteria among Thai adults. Asia Pac J Public Health 23(5):792–800. https://doi.org/10.1177/1010539511424482
Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Smith SC et al (2009) Harmonizing the metabolic syndrome. Circulation 120:1640–1645. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
Bergmann N, Gyntelberg F, Faber J (2014) The appraisal of chronic stress and the development of the metabolic syndrome: a systematic review of prospective cohort studies. Endocr Connect 3(2):R55–R80. https://doi.org/10.1530/ec-14-0031
Breton CV, Yao J, Millstein J, Gao L, Siegmund KD, Mack W, Whitfield‑Maxwel L, Lurmann F, Hodis H, Avol E, Gilliland FD (2016) Prenatal Air Pollution Exposures, DNA Methyl transferase genotypes, and associations with newborn LINE1 and Alu methylation and childhood blood pressure and carotid intima-media thickness in the children’s health study. Environ Health Perspect 124(12):1905–1912. http://ehp.niehs.nih.gov/ehp181/
Brook RD, Jerrett M, Brook JR, Bard RL, Finkelstein MM (2008) The relationship between diabetes mellitus and traffic-related air pollution. J Occup Environ Med 50:32–38. https://doi.org/10.1097/JOM.0b013e31815dba70
Brook RD, Rajagopalan S, Iii CAP, Brook JR, Bhatnagar A, Diez-roux AV, Kaufman JD et al (2010) Particulate matter air pollution and cardiovascular disease an update to the scientific statement from the American Heart Association. Circulation 121:2331–2378. https://doi.org/10.1161/CIR.0b013e3181dbece1
Cox DR (1972) Regression models and life-tables. Journal of the Royal Statistical Society. Series B (Methodological) 34(2):187–220. http://www.jstor.org/stable/2985181
Dabass A, Talbott EO, Rager JR, Marsh GM, Venkat A, Holguin F, Sharma RK (2018) Systemic inflammatory markers associated with cardiovascular disease and acute and chronic exposure to fine particulate matter air pollution (PM2.5) among US NHANES adults with metabolic syndrome. Environ Res 161:485–491. https://doi.org/10.1016/j.envres.2017.11.042
Dadvand P, de Nazelle A, Triguero-Mas M, Schembari A, Cirach M, Amoly E, Nieuwenhuijsen M (2012) Surrounding greenness and exposure to air pollution during pregnancy: an analysis of personal monitoring data. Environ Health Perspect 120(9):1286–1290. https://doi.org/10.1289/ehp.1104609
den Braver NR, Lakerveld J, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ (2018) Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Medicine 16(12). https://doi.org/10.1186/s12916-017-0997-z
Denpetkul T, Phosri A (2021) Daily ambient temperature and mortality in Thailand: estimated effects, attributable risks, and effect modifications by greenness. Sci Total Environ 791:148373. https://doi.org/10.1016/j.scitotenv.2021.148373
Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (2001) executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 285(19). https://doi.org/10.1161/circ.106.25.3143
Eze IC, Schaffner E, Foraster M, Imboden M, Von Eckardstein A, Gerbase MW, Probst-Hensch N et al (2015) Long-term exposure to ambient air pollution and metabolic syndrome in adults. PLoS ONE 10(6):1–19. https://doi.org/10.1371/journal.pone.0130337
Fan S, Xue Z, Yuan J, Zhou Z, Wang Y, Yang Z, Yang B, Dong G, Zhang Z (2019) Associations of residential greenness with diabetes mellitus in Chinese Uyghur adults. Int J Environ Res Public Health 16:5131
Fan S, Yang B, Xue Z, Huang W, Zhou Z, Yuan J, Wang Y, Zhong Y, Tang X, Dong G, Yang Z, Zhang Z (2020) Associations between residential greenness and blood lipids in Chinese Uyghur adults. Environ Int 142:105903. https://doi.org/10.1016/j.envint.2020.105903
Ferrannini E, Haffner SM, Mitchell BD, Stern MP (1991) Hyperinsulinaemia: the key feature of a cardiovascular and metabolic syndrome. Diabetologia 34:416–422. https://doi.org/10.1007/BF00403180
Franklin BA, Brook R, Pope CA (2015) Air pollution and cardiovascular disease. Curr Probl Cardiol 40:207–238. https://doi.org/10.1016/j.cpcardiol.2015.01.003
Geneva: World Health Organization (2010) Global recommendations on physical activity for health
Geniaux G, Martinetti D, Gabriel E, Parent E, Desassis N, Allard D, Romary T et al (2017) Analyzing spatio-temporal data with R: everything you always wanted to know-but were afraid to ask. Journal De La Société Française De Statistique 158(3):124–158
Gong Y, Palmer S, Gallacher J, Marsden T, Fone D (2016) A systematic review of the relationship between objective measurements of the urban environment and psychological distress. Environ Int 96:48–57. https://doi.org/10.1016/j.envint.2016.08.019
Gong Y, Gallacher J, Palmer S, Fone D (2014) Neighbourhood green space, physical function and participation in physical activities among elderly men: the Caerphilly prospective study. Int J Behav Nutr Phys Act 11(40)
Grundy SM (2008) Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol 28:629–636. https://doi.org/10.1161/ATVBAHA.107.151092
Han S, Zhang F, Yu H, Wei J, Xue L, Duan Z, Niu Z (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
Harrell FE (2001) Cox proportional hazards regression model. In: Regression modeling strategies. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3462-1_19
He D, ** B, Xue J, Huai P, Zhang M, Li J (2014) Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies. Endocrine 46:231–240. https://doi.org/10.1007/s12020-013-0110-0
He YL, Liu XT, Tu RQ, Pan MM, Niu MM, Chen GB, Hou J, Mao ZX, Huo WQ, Li SS, Guo YM, Wang CJ (2022) Association of residential greenness with the prevalence of metabolic syndrome in a rural Chinese Population: the Henan rural cohort study. Biomed Environ Sci 35(1):89–94. https://doi.org/10.3967/bes2022.013
Holewijn S, Den Heijer M, Swinkels DW, Stalenhoef AFH, De Graaf J (2009) The metabolic syndrome and its traits as risk factors for subclinical atherosclerosis. J Clin Endocrinol Metab 94:2893–2899. https://doi.org/10.1210/jc.2009-0084
Hong A, Sallis JF, King AC, Conway TL, Saelens B, Cain KL, Frank LD et al (2018) Linking green space to neighborhood social capital in older adults: the role of perceived safety. Soc Sci Med 207:38–45. https://doi.org/10.1016/j.socscimed.2018.04.051
Hou J, Liu X, Tu R, Dong X, Zhai Z, Mao Z, Wang C 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
Houstis N, Rosen ED, Lander ES (2006) Reactive oxygen species have a causal role in multiple forms of insulin resistance. Nature 440:944–948. https://doi.org/10.1038/nature04634
Iamopas O, Chongviriyaphan N, Suthutvoravut U (2011) Metabolic syndrome in obese Thai children and adolescents. J Med Assoc Thai 94(Suppl 3): S126-32
International Diabetes Federation (IDF) (2006) The IDF consensus worldwide definition of the metabolic syndrome. from http://www.idf.org/webdata/docs/Metabolic_syndrome_definition.pdf. Accessed 2 July 2022
Jiang J, Chen G, Li B, Li N, Liu F, Lu Y, Guo Y, Li S, Chen L, **ang H (2021) Associations of residential greenness with hypertension and blood pressure in a Chinese rural population: a cross-sectional study. Environ Sci Pollut Res
Ke P, Xu M, Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Tian Q, Dowling R, Jiang H, Zhao Z, Lu Z (2023) Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 46:327–335. https://doi.org/10.1007/s40618-022-01904-5
Keijzer C, Basagaña X, Tonne C, Valentín A, Alonso J, Antó JM, Dadvand P et al (2019) Long-term exposure to greenspace and metabolic syndrome: a Whitehall II study. Environ Pollut 255:113231. https://doi.org/10.1016/j.envpol.2019.113231
Lee S, Park H, Kim S, Lee EK, Lee J, Hong YS, Ha E (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
Li G, Chan YL, Sukjamnong S, Anwer AG, Vindin H, Padula M, Zakarya R, George J, Oliver BG, Saad S, Chen H (2019) A Mitochondrial specific antioxidant reverses metabolic dysfunction and fatty liver induced by maternal cigarette smoke in mice. Nutrients, 11(1669). https://doi.org/10.3390/nu11071669
Li R, Wang Y, Chen R, Gu W, Zhang L, Gu J, Wang Z, Liu Y, Sun Q, Zhang K, Liu C (2020) Ambient fine particulate matter disrupts hepatic circadian oscillation and lipid metabolism in a mouse model. Environ Pollut 262:114179. https://doi.org/10.1016/j.envpol.2020.114179
Liangruenrom N, Topothai T, Topothai C, Suriyawongpaisan W, Limwattananon S, Limwattananon C et al (2017) Do Thai people meet recommended physical activity level?: the 2015 national health and welfare survey. J Health Syst Res Inst 11(2):205–20 (Thai paper)
Liu L, Yan LL, Lv Y, Zhang Y, Li T, Huang C, Kan H, Zhang J, Zeng Y, Shi X, Ji JS (2022) Air pollution, residential greenness, and metabolic dysfunction biomarkers: analyses in the Chinese Longitudinal Healthy Longevity Survey. BMC Public Health 22(885). https://doi.org/10.1186/s12889-022-13126-8
Liu F, Wang X, Pan M, Zhang K, Zhou F, Tong J, Chen Z, **ang H (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
Markevych I, Schoierer J, Hartig T, Chudnovsky A, Hystad P, Dzhambov AM, Fuertes E et al (2017) Exploring pathways linking greenspace to health: theoretical and methodological guidance. Environ Res 158:301–317. https://doi.org/10.1016/j.envres.2017.06.028
Matthiessen C, Lucht S, Hennig F, Ohlwein S, Jakobs H, Jöckel KH, Hoffmann B et al (2018) Long-term exposure to airborne particulate matter and NO2 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
Miller MR (2014) The role of oxidative stress in the cardiovascular actions of particulate air pollution. Biochem Soc Trans 42:1006–1011. https://doi.org/10.1042/BST20140090
O’Neill S, Driscoll LO (2015) Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev 16:1–12. https://doi.org/10.1111/obr.12229
O'Neill A (2022) Urbanization in Thailand 2020. Accessed 3 July 2022 from. https://www.statista.com/statistics/455942/urbanization-in-thailand/
Paoin K, Ueda K, Vathesatogkit P, Ingviya T, Buya S, Phosri A, Takano H et al (2021) Long-term air pollution exposure and serum lipids and blood sugar: a longitudinal cohort study from the electricity generating authority of Thailand study. Atmospheric Environment 259:118515. https://doi.org/10.1016/j.atmosenv.2021.118515
Paoin K, Pharino C, Vathesatogkit P, Phosri A, Buya S, Saranburut K, Ueda K, Seposo XT, Ingviya T, Kitiyakara C, Thongmung N, Sritara P (2023) Residential greenness and kidney function: a cohort study of Thai employees. Health Place 80:102993. https://doi.org/10.1016/j.healthplace.2023.102993
Paoin K, Ueda K, Ingviya T, Buya S, Phosri A, Seposo XT,Takano H et al (2021b) Long-term air pollution exposure and self-reported morbidity: a longitudinal analysis from the Thai cohort study (TCS). Environ Res 192. https://doi.org/10.1016/j.envres.2020.110330
Paoin K, Ueda K, Vathesatogkit P, Ingviya T, Buya S, Phosri A, Seposo XT, Thongmung N, Yingchoncharoen T, Honda A, Takano H, Sritara P (2021c) Effects of long-term air pollution exposure on ankle-brachial index and cardio-ankle vascular index: a longitudinal cohort study using data from the Electricity Generating Authority of Thailand study. Int J Hygiene Environ Health 236:113790. https://doi.org/10.1016/j.ijheh.2021.113790
Paoin K, Pharino C, Phosri A, Ueda K, Seposo XT, Kelly M, Seubsman S, Sleigh A (2023a) Association between greenness and cardiovascular risk factors: results from a large cohort study in Thailand. Environ Res 220:115215. https://doi.org/10.1016/j.envres.2023.115215
Peng C, Bind MAC, Colicino E, Kloog I, Byun HM, Cantone L, Trevisi L, Zhong J, Brennan K, Dereix AE, Vokonas PS, Coull BA, Schwartz JD, Baccarelli AA (2016) Particulate air pollution and fasting blood glucose in nondiabetic individuals: associations and epigenetic mediation in the normative aging study, 2000–2011. Environ Health Perspect 124(11):1715–1721. https://doi.org/10.1289/EHP183
Persson Å, Pyko A, Lind T, Bellander T, Östenson C, Pershagen G, Lõhmus M et al (2018) Urban residential greenness and adiposity: a cohort study in Stockholm County. Environ Int 121:832–841. https://doi.org/10.1016/j.envint.2018.10.009
Prasad H, Ryan DA, Celzo MF, Stapleton D et al (2012) Metabolic syndrome: definition and therapeutic implications. Postgrad Med 124:21–30
Qin G, ** in densely vegetated areas: a case study in Southern China. Int J Remote Sens 39(8)
Rajagopalan S, Brook RD (2012) Air pollution and type 2 diabetes: mechanistic insights. Diabetes 61(12):3037–3045. https://doi.org/10.2337/db12-0190
Rao X, Patel P, Puett R, Rajagopalan S (2015) Air pollution as a risk factor for type 2 diabetes. Toxicol Sci 143(2):231–241. https://doi.org/10.1093/toxsci/kfu250
Reaven GM (1988) Role of insulin resistance in human disease. Diabetes 37:1595–1607. https://doi.org/10.2337/diab.37.12.1595
Sarkar C (2017) Residential greenness and adiposity: findings from the UK Biobank. Environ Int 106:1–10. https://doi.org/10.1016/j.envint.2017.05.016
Shamy M, Alghamdi M, Khoder MI, Mohorjy AM, Alkhatim AA, Alkhalaf AK, Costa M et al (2018) Association between exposure to ambient air particulates and metabolic syndrome components in a Saudi Arabian population. Int J Environ Res Public Health 15(27). https://doi.org/10.3390/ijerph15010027
Shanley RP, Hayes RB, Cromar KR, Ito K, Gordon T, Ahn J (2016) Particulate air pollution and clinical cardiovascular disease risk factors. Epidemiology 27(2):291–298. https://doi.org/10.1097/EDE.0000000000000426
Siwarom S, Aekplakorn W, Pirojsakul K, Paksi W, Kessomboon P, Neelapaichit N, Taneepanichskul S et al (2021) Metabolic syndrome in Thai adolescents and associated factors: the Thai National Health Examination Survey V (NHES V). BMC Public Health 21:678. https://doi.org/10.1186/s12889-021-10728-6
Statista (2021) Thailand: urbanization from 2009 to 2019. Accessed 3 July 2022 from. https://www.statista.com/statistics/455942/urbanization-in-thailand/
Suzuki T, Hirata K, Elkind MSV, ** Z, Rundek T, Miyake Y, Homma S et al (2008) Metabolic syndrome, endothelial dysfunction, and risk of cardiovascular events: the Northern Manhattan Study (NOMAS). Am Heart J 156(2):405–410. https://doi.org/10.1016/j.ahj.2008.02.022
Tan C, Ma S, Wai D, Chew S, Tai ES (2004) Can we apply the national cholesterol education program adult treatment panel definition of the metabolic syndrome to Asians? Diabetes Care 27:1182–1186
Vathesatogkit P, Woodward M, Tanomsup S, Ratanachaiwong W, Vanavanan S, Yamwong S, Sritara P (2012) Cohort profile: the electricity generating authority of Thailand study. Int J Epidemiol 41(2):359–365. https://doi.org/10.1093/ije/dyq218
Voss S, Schneider A, Huth C, Wolf K, Markevych I, Schwettmann L, Breitner 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
Wallwork RS, Colicino E, Zhong J, Kloog I, Coull BA, Vokonas P, Kloog I et al (2017) Ambient fine particulate matter, outdoor temperature, and risk of metabolic syndrome. Am J Epidemiol 185(1):30–39. https://doi.org/10.1093/aje/kww157
Wang C, Chen R, Cai J, Shi J, Yang C, Tse LA, Li H, Lin Z, Meng X, Liu C, Niu Y, **a Y, Zhao Z, Kan H (2016) Personal exposure to fine particulate matter and blood pressure: a role of angiotensin converting enzyme and its DNA methylation. Environ Int 94:661–666. https://doi.org/10.1016/j.envint.2016.07.001
Wang Y, Liu F, Yao Y, Chen M, Wu C, Yan Y, **ang H (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
Wilson PWF, Kannel WB, Silbershatz H, D’Agostino RB et al (1999) Clustering of metabolic factors and coronary heart disease. Arch Intern Med 159(10):1104–1109. https://doi.org/10.1001/archinte.159.10.1104
World Bank (2015) Urbanization in Thailand is dominated by the Bangkok urban area. Accessed 3 July 2022 from. https://www.worldbank.org/en/news/feature/2015/01/26/urbanization-in-thailand-is-dominated-by-the-bangkok-urban-area
World Health Organization (2014) Global status report on noncommunicable disease 2014. https://apps.who.int/iris/handle/10665/148114
World Health Organization (2020) Obesity on the rise in the Land of Smiles. Accessed 3 July 2022 from. https://thethaiger.com/news/national/obesity-on-the-rise-in-the-land-of-smiles
World Population Review (2021) Thailand Population 2021. Accessed 2 July 2022 from. https://worldpopulationreview.com/countries/thailand-population
Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Ke P, Xu M, Zhao Z (2022) Associations between residential greenness and blood lipids in Chinese elderly population. J Endocrinol Invest. https://doi.org/10.1007/s40618-022-01870-y
Yang BY, Qian Min Z, Li S, Fan S, Chen G, Syberg KM, Dong GH et al (2018) Long-term exposure to ambient air pollution (including PM1) 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
Yang BY, Markevych I, Bloom MS, Heinrich J, Guo Y, Morawska L, Dong GH et al (2019) Community greenness, blood pressure, and hypertension in urban dwellers: the 33 Communities Chinese Health Study. Environ Int 126:727–734. https://doi.org/10.1016/j.envint.2019.02.068
Yang BY, Markevych I, Heinrich J, Bloom MS, Qian Z, Dee S, Dong GH et al (2019) Residential greenness and blood lipids in urban-dwelling adults: the 33 Communities Chinese Health Study. Environ Pollut 250:14–22. https://doi.org/10.1016/j.envpol.2019.03.128
Yang BY, Markevych I, Heinrich J, Bowatte G, Bloom MS, Guo Y, Dong G et al (2019) Associations of greenness with diabetes mellitus and glucose-homeostasis markers: the 33 Communities Chinese Health Study. Int J Hyg Environ Health 222(2):283–290. https://doi.org/10.1016/j.ijheh.2018.12.001
Yang BY, Liu KK, Markevych I, Knibbs LD, Bloom MS, Dharmage SC, Dong GH et al (2020) Association between residential greenness and metabolic syndrome in Chinese adults. Environ Int 135:105388. https://doi.org/10.1016/j.envint.2019.105388
Zhang JS, Gui ZH, Zou ZY, Yang BY, Ma J, **g J, Chen YJ 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
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The authors would like to express their sincere gratitude to the Ramathibodi Hospital, the EGAT and their staffs, and the Pollution Control Department of the Ministry of Natural Resources and Environment for providing the essential data for this study’s research.
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This study was funded by the Second Century Fund (C2F), Chulalongkorn University; the Electricity Generating Authority of Thailand and the Praman Chansue Foundation; the Faculty of Medicine, Ramathibodi Hospital, Mahidol University; the Thai Health Foundation; the Thai Heart Association; the Thailand Research Fund; and the National Research Council.
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Kanawat Paoin: conceptualization, formal analysis, and writing—original draft. Chanathip Pharino: supervision, writing—review and editing, and funding acquisition. Prin Vathesatogkit: supervision and funding acquisition. Arthit Phosri: methodology and writing—review and editing. Suhaimee Buya: methodology. Kayo Ueda: supervision and writing—review and editing. Xerxes Tesoro Seposo: methodology, writing—review and editing. Thammasin Ingviya: methodology and writing—review and editing. Krittika Saranburut: data collection and data curation. Nisakron Thongmung: data collection and data curation. Teerapat Yingchoncharoen: supervision. Piyamitr Sritara: supervision and funding acquisition
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Paoin, K., Pharino, C., Vathesatogkit, P. et al. Associations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort. Int J Biometeorol 67, 1965–1974 (2023). https://doi.org/10.1007/s00484-023-02554-9
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DOI: https://doi.org/10.1007/s00484-023-02554-9