Exposure to Household Air Pollution from Solid Biomass Fuel and Diabetic Status among Rural Women: A Cross-Sectional Study in Odisha

IJEP 43(2): 127-133 : Vol. 43 Issue. 2 (February 2023)

Kulumina Dash1 and Sasmita Nayak2*

1. Kalinga Institute of Industrial Technology (Deemed to be University), KIIT School of Public Health, Bhubaneswar – 751 024, Odisha, India
2. Kalinga Institute of Industrial Technology (Deemed to be University), Kalinga Institute of Nursing Sciences, Department of Community Health Nursing, Bhubaneswar – 751 024, Odisha, India

Abstract

Household air pollution from biomass fuels is estimated to be responsible for more than two and a half million premature deaths annually, mainly in low and middle income countries where cardio-metabolic disorders, such as type II diabetes, are increasing. Although there is growing evidence linking ambient air pollution to diabetes, there is less evidence for household air pollution. This cross sectional study of 609 women (18–49 years) selected randomly in rural Odisha was conducted to evaluate the association of exposure to household air pollution (type of fuel (cleaner vs solid biomass); place of cooking (separate kitchen, outdoor, cook and sleep in same room); duration of exposure (hours of cooking per day, age of cooking) with glycated haemoglobin (HbA1c) levels and diabetic status based on HbA1c levels. The current study shows that the overall prevalence of diabetes and prediabetes was 19.7% and 32.3%, respectively. Participants from the households using solid fuel (AOR:1.61, p=0.004), those sleeping and cooking in the same room (AOR:1.79, p=0.047) and with longer (>3 hr) cooking hours (AOR:1.76, p=0.013) were significant predictors of diabetes status. Health promotion and behavioural changes that impact cooking patterns which can decrease the risk of diabetes may be targeted.

Keywords

Biomass fuel, Diabetes, rural women

References

  1. WHO. 2018. Household air pollution and health. World Health Organization, Geneva.
  2. Collaborators GBDRF. 2017. Global, regional and national comparative risk assessment of 84 behavioural, environmental and occupational and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the global burden of disease study 2016. Lancet. 390 (10100):1345–422.
  3. Yu, K., et al. 2018. Association of solid fuel use with risk of cardiovascular and all-cause mortality in rural China. Frontiers Public Health. 319(13): 1351–1361.
  4. Lozano, R., et al. 2012. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 380: 2095–2128.
  5. Murray, C.J., et al. 2012. Disability adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: Systematic analysis for the global burden of disease study 2010. Lancet. 380:2197.
  6. Saeedi, P., et al. 2019. IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas (9th edn). Diabetes Res. Clin. Pract.,157:107843.
  7. Center for Disease Control and Prevention. 2017. Who’s at risk? U.S. Department of Health and Human Services.
  8. Rhodes, E.C., U.P. Gujral and K.M. Narayan. 2017. Mysteries of type 2 diabetes: The Indian elephant meets the Chinese dragon. European Clin. Nutr., 71: 805-811.
  9. Kaveeshwar, S.A. and J. Cornwall. 2014. The current state of diabetes mellitus in India. Australas Med. J., 7: 45-48.
  10. Hu, F.B. 2011. Globalization of diabetes: The role of diet, lifestyle and genes. Diabetes Care. 34: 1249-1257.
  11. Brook, R.D., 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.
  12. Dang, J., et al. 2018. Associations of exposure to air pollution with insulin resistance: A systematic review and meta-analysis. Int. J. Env. Res. Public Health. 15:2593.
  13. Eze, I.C., et al. 2015. Association between ambient air pollution and diabetes mellitus in Europe and North America: Systematic review and meta-analysis. Env. Health Perspect., 123:381-389.
  14. Rajkumar, S., et al. 2018. Exposure to household air pollution from biomass-burning cookstoves and HbA1c and diabetic status among Honduran women. Int. J. Env. Health. 28(5): 268-776.
  15. Balakrishnan, K., et al. 2011. Air pollution from household solid fuel combustion in India: an overview of exposure and health related information to inform health research priorities. Global health action. 4:5638.
  16. Kankaria, A., B. Nongkynrih and S.K. Gupta. 2014. Indoor air pollution in India: Implications on health and its control. Indian J. Community Med., 39:203-207.
  17. Mishra, S., et al. 2020. Relationship between diabetes mellitus and indoor air pollution: An exploratory analysis. Int. J. Non-Comm. Dis., 4(5):165-170.
  18. Apte, K. and S. Salvi. 2016. Household air pollution and its effects on health. F 1000 Res., 2593.
  19. Cincinelli, A. and T. Martellini. 2017. Indoor air quality and health. Int. J. Env. Res. Public Health. 14:1286.
  20. Hansen, A.B., et al. 2016. Long-term exposure to fine particulate matter and incidence of diabetes in the Danish nurse cohort. Env. Int., 91:243–250.
  21. Park, S.K., et al. 2015. Long-term exposure to air pollution and type 2 diabetes mellitus in a multiethnic cohort. American J. Epidemiol., 181(5): 327–336.
  22. Liu, C., et al. 2016. Associations between long-term exposure to ambient particulate air pollution and type 2 diabetes prevalence, blood glucose and glycosylated haemoglobin levels in China. Env. Int., 92(93): 416–421.
  23. Jacob, A.M., et al. 2019. Prevalence of diabetes mellitus and exposure to suspended particulate matter. J. Health Poll., 9(22) :1-25.