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The Association Between PM2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel

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Objectives: This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM<sub>2.5</sub>) and subsequent temporal changes in PM<sub>2.5</sub> exposure with the incidence of type 2 diabetes among Royal Thai Army personnel.Methods: A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM<sub>2.5</sub>-baseline) and subsequent changes (i.e., PM<sub>2.5</sub>-change) in PM<sub>2.5</sub> exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates.Results: There was a significant association between both PM<sub>2.5</sub> baseline and PM<sub>2.5</sub>-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM<sub>2.5</sub>-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM<sub>2.5</sub>-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively.Conclusions: Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM<sub>2.5</sub> and the incidence of diabetes among personnel in the Royal Thai Army.

Abstract

Objectives: This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM<sub>2.5</sub>) and subsequent temporal changes in PM<sub>2.5</sub> exposure with the incidence of type 2 diabetes among Royal Thai Army personnel.Methods: A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM<sub>2.5</sub>-baseline) and subsequent changes (i.e., PM<sub>2.5</sub>-change) in PM<sub>2.5</sub> exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates.Results: There was a significant association between both PM<sub>2.5</sub> baseline and PM<sub>2.5</sub>-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM<sub>2.5</sub>-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM<sub>2.5</sub>-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively.Conclusions: Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM<sub>2.5</sub> and the incidence of diabetes among personnel in the Royal Thai Army.

참고문헌 (37)

  1. "World Health Organization releases new global air pollution data"[URL]
  2. Balti EV, "Air pollution and risk of type 2 diabetes mellitus : a systematic review and meta-analysis", Diabetes Res Clin Pract, 106(2), pp.161~172 (2014)
  3. Esposito K, "Particulate matter pollutants and risk of type 2 diabetes : a time for concern?", Endocrine, 51(1), pp.32~37 (2016)
  4. He D, "Association between particulate matter 2.5 and diabetes mellitus: a meta-analysis of cohort studies", J Diabetes Investig, 8(5), pp.687~696 (2017)
  5. Guariguata L, "Global estimates of diabetes prevalence for 2013 and projections for 2035", Diabetes Res Clin Pract, 103(2), pp.137~149 (2014)
  6. Beagley J, "Global estimates of undiagnosed diabetes in adults", Diabetes Res Clin Pract, 103(2), pp.150~160 (2014)
  7. GBD 2017 Risk Factor Collaborators, "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017", Lancet, 392(10159), pp.1923~1994 (2018)
  8. GBD 2019 Diabetes and Air Pollution Collaborators, "Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019", Lancet Planet Health, 6(7), pp.e586~e600 (2022)
  9. Qiu H, "Long-term exposure to fine particulate matter air pollution and type 2 diabetes mellitus in elderly : a cohort study in Hong Kong", Environ Int, 113, pp.350~356 (2018)
  10. Lee M, "PM2.5 and diabetes in the Japanese population", Int J Environ Res Public Health, 18(12), pp.6653~ (2021)
  11. Chen H, "Risk of incident diabetes in relation to long-term exposure to fine particulate matter in Ontario, Canada", Environ Health Perspect, 121(7), pp.804~810 (2013)
  12. Hansen AB, "Long-term exposure to fine particulate matter and incidence of diabetes in the Danish Nurse Cohort", Environ Int, 91, pp.243~250 (2016)
  13. Coogan PF, "PM2.5 and diabetes and hypertension incidence in the Black Women’s Health Study", Epidemiology, 27(2), pp.202~210 (2016)
  14. Curto A, "Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India", Environ Int, 131, pp.105033~ (2019)
  15. Liu C, "Associations between long-term exposure to ambient particulate air pollution and type 2 diabetes prevalence, blood glucose and glycosylated hemoglobin levels in China", Environ Int, 92-93, pp.416~421 (2016)
  16. Suryadhi MA, "Exposure to particulate matter (PM2.5) and prevalence of diabetes mellitus in Indonesia", Environ Int, 140, pp.105603~ (2020)
  17. "Sample size determination in health studies: a practical manual" (1991)[URL]
  18. American Diabetes Association Professional Practice Committee, "2. Classification and diagnosis of diabetes : standards of medical care in diabetes—2022", Diabetes Care, 45(Suppl_1), pp.S17~S38 (2022)
  19. "Regional air quality and situation reports"[URL]
  20. "The Asia-Pacific perspective: redefining obesity and its treatment" (2000)[URL]
  21. "mestreg — multilevel mixed-effects parametric survival models"[URL]
  22. Leiby BD, "Multicollinearity applied stepwise stochastic imputation : a large dataset imputation through correlation-based regression", J Big Data, 10(1), pp.1~20 (2023)
  23. Li CY, "Association between long-term exposure to PM2.5 and incidence of type 2 diabetes in Taiwan: a national retrospective cohort study", Epidemiology, 30(Suppl 1), pp.S67~S75 (2019)
  24. Zhan M, "Effect of short-term ambient PM2.5 exposure on fasting blood glucose levels: a longitudinal study among 47,471 people in eastern China", Environ Pollut, 290, pp.117983~ (2021)
  25. Cai L, "Effects of ambient particulate matter on fasting blood glucose among primary school children in Guangzhou, China", Environ Res, 176, pp.108541~ (2019)
  26. Chilian-Herrera OL, "PM2.5 exposure as a risk factor for type 2 diabetes mellitus in the Mexico City metropolitan area", BMC Public Health, 21(1), pp.2087~ (2021)
  27. Weinmayr G, "Long-term exposure to fine particulate matter and incidence of type 2 diabetes mellitus in a cohort study : effects of total and traffic-specific air pollution", Environ Health, 14, pp.53~ (2015)
  28. Ueno S, "Association between dietary habits and type 2 diabetes mellitus in Yangon, Myanmar: a case-control study", Int J Environ Res Public Health, 18(21), pp.11056~ (2021)
  29. InterAct Consortium, "The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study", Diabetologia, 56(1), pp.60~69 (2013)
  30. Onyeaka H, "COVID-19 pandemic : a review of the global lockdown and its far-reaching effects", Sci Prog, 104(2), pp.368504211019854~ (2021)
  31. Miyah Y, "COVID-19 impact on public health, environment, human psychology, global socioeconomy, and education", ScientificWorldJournal, 2022, pp.5578284~ (2022)
  32. "Greenpeace’s city rankings for PM2.5 in Thailand"[URL]
  33. Nuchdang S, "Metal composition and source identification of PM2.5 and PM10 at a suburban site in Pathum Thani, Thailand", Atmosphere, 14(4), pp.659~ (2023)
  34. "Manual for the disease prevention and control in specific area (bubble and seal) for workplace" (2021)[URL]
  35. Park AH, "Impact of COVID-19 on physical activity : a rapid review", J Glob Health, 12, pp.05003~ (2022)
  36. Yang Q, "Air pollution in China : health information seeking and protective behaviors", Health Promot Int, 35(6), pp.1495~1506 (2020)
  37. Tainio M, "Air pollution, physical activity and health: a mapping review of the evidence", Environ Int, 147, pp.105954~ (2021)

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