Abstract
In recent years, many epidemiological studies have investigated the relationship between solid fuel combustion and diabetes mellitus (DM). This meta-analysis was performed to explore the potential association between solid fuel combustion and DM. A comprehensive literature search was conducted to identify all relevant studies published prior to January 14, 2022. The pooled odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the effect of solid fuel combustion on DM. The I square value (I2) was used to assess heterogeneity. Due to the heterogeneity of the studies (I2 = 66.70%), a random-effect model was used as the pooling method. A total of 9 articles (10 available datasets) were used for this systematic review and meta-analysis, involving 45,620 study subjects. The results of the meta-analysis showed a statistically positive relationship between household solid fuel combustion and the risk of DM (OR = 1.46, 95% CI = 1.09–1.97). Subgroup analysis based on fuel type revealed a statistically significant association in the mixed solid fuel group (OR = 2.03, 95% CI = 1.59–2.59), but not in the single biomass group (OR = 1.04, 95% CI = 0.73–1.49). This meta-analysis suggests that solid fuel combustion may be associated with an increased risk of DM.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The data in this manuscript are from previously published articles, and relevant information of the article is mentioned in the manuscript.
References
Alberti KG, Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15:539–53. https://doi.org/10.1002/(sici)1096-9136(199807)15:7%3c539::Aid-dia668%3e3.0.Co;2-s
Balmes JR (2019) Household air pollution from domestic combustion of solid fuels and health. J Allergy Clin Immunol 143:1979–1987. https://doi.org/10.1016/j.jaci.2019.04.016
Caravedo MA, Painschab MS, Davila-Roman VG, De Ferrari A, Gilman RH, Vasquez-Villar AD, Pollard SL, Miranda JJ, Checkley W (2014) Lack of association between chronic exposure to biomass fuel smoke and markers of right ventricular pressure overload at high altitude. Am Heart J 168:731–8. https://doi.org/10.1016/j.ahj.2014.06.030
Chen JC, Schwartz J (2008) Metabolic syndrome and inflammatory responses to long-term particulate air pollutants. Environ Health Perspect 116:612–7. https://doi.org/10.1289/ehp.10565
Chuang JC, Cao SR, Xian YL, Harris DB, J.L M, (1992) Chemical characterization of indoor air of homes from communes in Xuan Wei, China, with high lung cancer mortality rate. ATMOS ENVIRON 26A:2193–2201. https://doi.org/10.1016/0960-1686(92)90408-D
Clark ML, Peel JL, Balakrishnan K, Breysse PN, Chillrud SN, Naeher LP, Rodes CE, Vette AF, Balbus JM (2013) Health and household air pollution from solid fuel use: the need for improved exposure assessment. Environ Health Perspect 121:1120–8. https://doi.org/10.1289/ehp.1206429
Deng M, Li P, Ma R, Shan M, Yang X (2020) Air pollutant emission factors of solid fuel stoves and estimated emission amounts in rural Beijing. Environ Int 138:105608. https://doi.org/10.1016/j.envint.2020.105608
Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. Bmj 315:629–34. https://doi.org/10.1136/bmj.315.7109.629
Eze IC, Hemkens LG, Bucher HC, Hoffmann B, Schindler C, Künzli N, Schikowski T, Probst-Hensch NM (2015) Association between ambient air pollution and diabetes mellitus in Europe and North America: systematic review and meta-analysis. Environ Health Perspect 123:381–9. https://doi.org/10.1289/ehp.1307823
Gordon SB et al (2014) Respiratory risks from household air pollution in low and middle income countries. Lancet Respir Med 2:823–60. https://doi.org/10.1016/s2213-2600(14)70168-7
Greenland S (1987) Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9:1–30. https://doi.org/10.1093/oxfordjournals.epirev.a036298
Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, Schünemann HJ (2008) GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. Bmj 336:924–6. https://doi.org/10.1136/bmj.39489.470347.AD
Haidich AB (2010) Meta-analysis in medical research. HIPPOKRATIA 14:29–37. https://doi.org/10.1111/j.1365-2362.2009.02222.x
Higgins JP, Thompson SG (2004) Controlling the risk of spurious findings from meta-regression. Stat Med 23:1663–82. https://doi.org/10.1002/sim.1752
Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Meas inconsistency meta-anal Bmj 327:557–60. https://doi.org/10.1136/bmj.327.7414.557
Hou J, Sun H, Zhou Y, Zhang Y, Yin W, Xu T, Cheng J, Chen W, Yuan J (2018) Environmental exposure to polycyclic aromatic hydrocarbons, kitchen ventilation, fractional exhaled nitric oxide, and risk of diabetes among Chinese females. Indoor Air 28:383–393. https://doi.org/10.1111/ina.12453
Humans IWGotEoCRt 2010 Household use of solid fuels and high-temperature frying. https://www.ncbi.nlm.nih.gov/books/NBK385523/ Accessed on 4 March 2022.
IDF 2021 IDF Diabetes Atlas, 10th edn. https://www.diabetesatlas.org Accessed on 1st March 2022.
Ivanišević M, Horvatiček M, VučićLovrenčić M, VučkovićRebrina S, Marčinko D, Starčević M, Đelmiš J (2021) The impact of hypoglycemia and EPA and DHA supplementation on brain-derived neurotrophic factor level in pregnant women with type 1 diabetes: a prospective cohort study. Psychiatr Danub 33:43–51
Juntarawijit C, Juntarawijit Y (2020) Cooking with biomass fuel and cardiovascular disease: a cross-sectional study among rural villagers in Phitsanulok Thailand. F1000 Res 9:307. https://doi.org/10.12688/f1000research.23457.2
Khosravipour M, Khosravipour H (2020) The association between urinary metabolites of polycyclic aromatic hydrocarbons and diabetes: a systematic review and meta-analysis study. Chemosphere 247:125680. https://doi.org/10.1016/j.chemosphere.2019.125680
Lee MS, Hang JQ, Zhang FY, Dai HL, Su L, Christiani DC (2012) In-home solid fuel use and cardiovascular disease: a cross-sectional analysis of the Shanghai Putuo study. Environ Health 11:18. https://doi.org/10.1186/1476-069x-11-18
Lee M, Carter E, Yan L, Chan Q, Elliott P, Ezzati M, Kelly F, Schauer JJ, Wu Y, Yang X, Zhao L, Baumgartner L (2021) Determinants of personal exposure to PM(2.5) and black carbon in Chinese adults: a repeated-measures study in villages using solid fuel energy. Environ Int 146:106297. https://doi.org/10.1016/j.envint.2020.106297
Li L, Yang A, He X, Liu J, Ma Y, Niu J, Luo B (2020) Indoor air pollution from solid fuels and hypertension: a systematic review and meta-analysis. Environ Pollut 259:113914. https://doi.org/10.1016/j.envpol.2020.113914
Liu F, Chen G, Huo W, Wang C, Liu S, Li N, Mao S, Hou Y, Lu Y, Xiang H (2019) Associations between long-term exposure to ambient air pollution and risk of type 2 diabetes mellitus: a systematic review and meta-analysis. Environ Pollut 252:1235–1245. https://doi.org/10.1016/j.envpol.2019.06.033
Liu J, Bai R, Chai Z, Cooper ME, Zimmet PZ, Zhang L (2022) Low- and middle-income countries demonstrate rapid growth of type 2 diabetes: an analysis based on Global Burden of Disease 1990–2019 data. Diabetologia 65:1339–1352. https://doi.org/10.1007/s00125-022-05713-6
Mestl HE, Aunan K, Seip HM (2007) Health benefits from reducing indoor air pollution from household solid fuel use in China—three abatement scenarios. Environ Int 33:831–40. https://doi.org/10.1016/j.envint.2007.03.012
Mestl HE, Aunan K, Seip HM, Wang S, Zhao Y, Zhang D (2007) Urban and rural exposure to indoor air pollution from domestic biomass and coal burning across China. Sci Total Environ 377:12–26. https://doi.org/10.1016/j.scitotenv.2007.01.087
Mishra Sandeep, McClure Leslie A, Golla Vijay, Guddattu Vasudeva, Lungu Claudiu, Sathiakumar N (2020) Relationship between diabetes mellitus and indoor air pollution: an exploratory analysis. Intl J Noncommunicable Dis (IJNCD) 5:165–170. https://doi.org/10.4103/jncd.jncd_38_20
Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. Bmj 339:b2535. https://doi.org/10.1136/bmj.b2535
Naeher LP, Brauer M, Lipsett M, Zelikoff JT, Simpson CD, Koenig JQ, Smith KR (2007) Woodsmoke health effects: a review. Inhal Toxicol 19:67–106. https://doi.org/10.1080/08958370600985875
Nam YJ, Kim SH (2020) Association of urinary polycyclic aromatic hydrocarbons and diabetes in Korean adults: data from the Korean National Environmental Health Survey Cycle 2 (2012–2014). Diabetes Metab Syndr Obes 13:3993–4003. https://doi.org/10.2147/dmso.S276658
Olvera Alvarez HA, Kubzansky LD, Campen MJ, Slavich GM (2018) Early life stress, air pollution, inflammation, and disease: an integrative review and immunologic model of social-environmental adversity and lifespan health. Neurosci Biobehav Rev 92:226–242. https://doi.org/10.1016/j.neubiorev.2018.06.002
O’Neill MS, Veves A, Sarnat JA, Zanobetti A, Gold DR, Economides PA, Horton ES, Schwartz J (2007) Air pollution and inflammation in type 2 diabetes: a mechanism for susceptibility. Occup Environ Med 64:373–9. https://doi.org/10.1136/oem.2006.030023
Park SK, Wang W (2014) Ambient air pollution and type 2 diabetes: a systematic review of epidemiologic research. Curr Environ Health Rep 1:275–286. https://doi.org/10.1007/s40572-014-0017-9
Pavic M, Premuzic V, ZovakPavic A, Bevanda M, Mihaljevic S, Oreskovic S (2021) Prevalence of gestational diabetes mellitus and perinatal outcomes according to the old WHO criteria and IADPSG criteria. Psychiatr Danub 33:30–36
Qu W, Yan Z, Qu G, Ikram M (2015) Household solid fuel use and cardiovascular disease in rural areas in Shanxi, China. Iran J Public Health 44:625–38
Quansah R, Semple S, Ochieng CA, Juvekar S, Armah FA, Luginaah I, Emina J (2017) Effectiveness of interventions to reduce household air pollution and/or improve health in homes using solid fuel in low-and-middle income countries: a systematic review and meta-analysis. Environ Int 103:73–90. https://doi.org/10.1016/j.envint.2017.03.010
Rajagopalan S, Brook RD (2012) Air pollution and type 2 diabetes: mechanistic insights. Diabetes 61:3037–45. https://doi.org/10.2337/db12-0190
Rajkumar S, Clark ML, Young BN, Benka-Coker ML, Bachand AM, Brook RD, Nelson TL, Volckens J, Reynolds SJ, L'Orange C, Good N, Koehler K, Africano S, Osorto Pinel AB, Peel JL (2018): Exposure to household air pollution from biomass-burning cookstoves and HbA1c and diabetic status among Honduran women. Indoor Air. https://doi.org/10.1111/ina.12484
Rostom A, Dubé C, A C 2004 Celiac disease. Rockville (MD): Agency for Healthcare Research and Quality (US); (Evidence Reports/Technology Assessments, No. 104.) Appendix D. Quality Assessment Forms https://www.ncbi.nlm.nih.gov/books/NBK35156/ Accessed on 1st March 2022.
Rückerl R, Phipps RP, Schneider A, Frampton M, Cyrys J, Oberdörster G, Wichmann HE, Peters A (2007) Ultrafine particles and platelet activation in patients with coronary heart disease—results from a prospective panel study. Part Fibre Toxicol 4:1. https://doi.org/10.1186/1743-8977-4-1
Savu A, Liu Q, Yasui Y (2010) Estimation of relative risk and prevalence ratio. Stat Med 29:2269–81. https://doi.org/10.1002/sim.3989
Seow WJ, Downward GS, Wei H, Rothman N, Reiss B, Xu J, Bassig BA, Li J, He J, Hosgood HD, Wu G, Chapman RS, Tian L, Wei F, Caporaso NE, Vermeulen R, Lan Q (2016) Indoor concentrations of nitrogen dioxide and sulfur dioxide from burning solid fuels for cooking and heating in Yunnan Province, China. Indoor Air 26:776–83. https://doi.org/10.1111/ina.12251
Shen G, Chen Y, Du W, Lin N, Wang X, Cheng H, Liu J, Xue C, Liu G, Zeng EY, Xing B, Tao S (2016) Exposure and size distribution of nitrated and oxygenated polycyclic aromatic hydrocarbons among the population using different household fuels. Environ Pollut 216:935–942. https://doi.org/10.1016/j.envpol.2016.07.002
Tiwana J, Benziger C, Hooper L, Pope K, Alurkar V, Kafle R, Sijali TR, Balmes JR, Kaufman JD, Bates MN (2020) Biomass fuel use and cardiac function in Nepali women. Glob Heart 15:11. https://doi.org/10.5334/gh.405
WHO (2016) Global report on diabetes. World Health Organization, Geneva
WHO 2007 Indoor air pollution: national burden of disease estimates https://www.who.int/publications/i/item/WHO-SDE-PHE-07.01rev Accessed on 1st March 2022.
WHO 2021 Household air pollution and health https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health Accessed on 1st March 2022.
Yadav IC, Devi NL, Singh VK, Li J, Zhang G (2018) Concentrations, sources and health risk of nitrated- and oxygenated-polycyclic aromatic hydrocarbon in urban indoor air and dust from four cities of Nepal. Sci Total Environ 643:1013–1023. https://doi.org/10.1016/j.scitotenv.2018.06.265
Yang BY, Fan S, Thiering E, Seissler J, Nowak D, Dong GH, Heinrich J (2020) Ambient air pollution and diabetes: a systematic review and meta-analysis. Environ Res 180:108817. https://doi.org/10.1016/j.envres.2019.108817
Yu K, Qiu G, Chan KH, Lam KH, Kurmi OP, Bennett DA, Yu C, Pan A, Lv J, Guo Y, Bian Z, Yang L, Chen Y, Hu FB, Chen Z, Li L, Wu T (2018) Association of solid fuel use with risk of cardiovascular and all-cause mortality in rural China. Jama 319:1351–1361. https://doi.org/10.1001/jama.2018.2151
Yun X, Shen G, Shen H, Meng W, Chen Y, Xu H, Ren Y, Zhong Q, Du W, Ma J, Cheng H, Wang X, Liu J, Wang X, Li B, Hu J, Wan Y, Tao S (2020) Residential solid fuel emissions contribute significantly to air pollution and associated health impacts in China. Sci Adv 6:44. https://doi.org/10.1126/sciadv.aba7621
Zhang JJ, Smith KR (2007) Household air pollution from coal and biomass fuels in China: measurements, health impacts, and interventions. Environ Health Perspect 115:848–55. https://doi.org/10.1289/ehp.9479
Zheng XY, Ma SL, Guan WJ, Xu YJ, Tang SL, Zheng YJ, Liao TT, Li C, Meng RL, Zeng ZP, Lin LF (2021) Impact of polluting fuels for cooking on diabetes mellitus and glucose metabolism in south urban China. Indoor Air 32:e12960. https://doi.org/10.1111/ina.12960
Zhou Y, Huang D, Lang J, Zi T, Chen D, Zhang Y, Li S, Jiao Y, Cheng S (2021) Improved estimation of rural residential coal emissions considering coal-stove combinations and combustion modes. Environ Pollut 272:115558. https://doi.org/10.1016/j.envpol.2020.115558
Author information
Authors and Affiliations
Contributions
Ning Li and Wanying Su: conceptualization, data curation and formal analysis, and writing — original draft preparation. Hao Wang and Xianwei Guo: methodology. Qiwei Liang and Qiuxia Song: software and validation. Mingming Liang, Xiuxiu Ding, and Chenyu Sun: data curation and reviewing and editing. Scott Lowe, Rachel Bentley, Zhen Zhou, and Yaru Li: reviewing and editing. Yehuan Sun: supervision and project administration.
Corresponding author
Ethics declarations
Ethics approval
This article does not contain any studies of human participants or animals by any of the authors. And we used published data. These data have been widely used in research and are generally available. Therefore, we confirm that all aspects of the work covered in this manuscript were carried out in accordance with ethically approved patient consent.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Lotfi Aleya
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Li, N., Su, W., Wang, H. et al. Association between solid fuel combustion and diabetes mellitus: a systematic review and meta-analysis. Environ Sci Pollut Res 29, 78165–78177 (2022). https://doi.org/10.1007/s11356-022-23299-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-022-23299-9