- Research article
- Open Access
- Open Peer Review
Child mortality from solid-fuel use in India: a nationally-representative case-control study
© Bassani et al; licensee BioMed Central Ltd. 2010
- Received: 8 February 2010
- Accepted: 17 August 2010
- Published: 17 August 2010
Most households in low and middle income countries, including in India, use solid fuels (coal/coke/lignite, firewood, dung, and crop residue) for cooking and heating. Such fuels increase child mortality, chiefly from acute respiratory infection. There are, however, few direct estimates of the impact of solid fuel on child mortality in India.
We compared household solid fuel use in 1998 between 6790 child deaths, from all causes, in the previous year and 609 601 living children living in 1.1 million nationally-representative homes in India. Analyses were stratified by child's gender, age (neonatal, post-neonatal, 1-4 years) and colder versus warmer states. We also examined the association of solid fuel to non-fatal pneumonias.
Solid fuel use was very common (87% in households with child deaths and 77% in households with living children). After adjustment for demographic factors and living conditions, solid-fuel use significantly increase child deaths at ages 1-4 (prevalence ratio (PR) boys: 1.30, 95%CI 1.08-1.56; girls: 1.33, 95%CI 1.12-1.58). More girls than boys died from exposure to solid fuels. Solid fuel use was also associated with non-fatal pneumonia (boys: PR 1.54 95%CI 1.01-2.35; girls: PR 1.94 95%CI 1.13-3.33).
Child mortality risks, from all causes, due to solid fuel exposure were lower than previously, but as exposure was common solid, fuel caused 6% of all deaths at ages 0-4, 20% of deaths at ages 1-4 or 128 000 child deaths in India in 2004. Solid fuel use has declined only modestly in the last decade. Aside from reducing exposure, complementary strategies such as immunization and treatment could also reduce child mortality from acute respiratory infections.
- Child Mortality
- Solid Fuel
- Neonatal Death
- Lower Respiratory Infection
- Prevalence Ratio
Direct measurement of the impact of solid fuel use on child survival has to take into account several risk factors that increase mortality and are associated with solid-fuel use, chiefly as a consequence of poverty, such as living conditions, sanitation and access to water [9, 10]. Most studies in low and middle income countries do not include a large enough sample to study the impact of solid-fuel use on child mortality with adjustment for these factors . We report here the results of a large nationally-representative population-based case-control study of the association between solid-fuel use and all-cause child mortality in 1.1 million households in India in 1998.
This case-control study compares the prevalence of solid-fuel use between households where children under age 5 died and households of living controls within the Special Fertility and Mortality Survey (SFMS) - a nationally-representative household survey conducted in 1998 to obtain fertility history of ever-married women in India . The SFMS was undertaken by the Registrar General of India in the sample units of the Sample Registration System (SRS) - an ongoing demographic survey that annually estimates fertility and mortality indicators for India's major states and nationally. The sample frame covers 5.9 million people, living in 1.1 million households in 35 states/territories of India. The 6671 (4436 rural and 2235 urban) SRS units were selected using stratified simple random sampling based the 1991 Census. Each unit comprises about 150 households and 900 people. The survey was done in February 1998 and collected information about the village, household, living individuals, women's fertility history and deaths that occurred in the household in the previous calendar year. Surveys were implemented by 700 trained supervisors who conduct the SRS half-yearly surveys. Household residents gave oral consent and followed confidentiality and ethical guidelines as per ongoing census activities. Further details of the SRS and SFMS sample and field methods are published elsewhere .
Cases were all children under the age of 5 years in the SFMS households that died between 1/1/1997-31/12/1997. Cases were stratified by gender and sub-divided into: post-neonatal (death between 28 days post partum and the first year of life, henceforth post-neonatal deaths) and deaths between ages 1-4 years. Living children below 1 year of age were included as controls for post-neonatal deaths and living children ages 1-4 years were the controls for deaths at ages 1-4 years.
To study the association of solid-fuel use and child deaths, we explored the ratio of the prevalence of solid-fuel use in the household via the following comparisons:
(a) deaths at ages 1-4 years compared to living children of same age;
(b) post-neonatal deaths compared to living children below 1 year of age and;
(c) deaths at ages 1-4 years compared to neonatal deaths. Neonatal deaths were selected as control in this sub-analysis because the biological plausibility for the occurrence of neonatal deaths in consequence of exposure to solid fuels is lower (due to the short period of direct exposure). At the same time, children who died during the neonatal period share more characteristics with children that died later (cases - child deaths) than living controls. Therefore, unmeasured confounding is expected to be minimized in this analysis as is residual confounding - if present.
A sub-analysis compared solid-fuel use among deaths at ages 1-4 years occurring during the winter months (December, January and February) in the states with lower than average winter temperatures to solid-fuel use among:
(a) living children of the same age and;
(b) children of the same age that died in non-winter months.
In a secondary analysis, living children ages 1-4 years who reported pneumonia in the three months preceding data collection (December 1997, January/February 1998) were selected as cases, and living children of same age who did not report pneumonia were selected as controls.
Fuels used for cooking and heating in the household were classified into: (i) non-solid fuels: kerosene, gas/natural gas, electricity and biogas; (ii) solid fuels: coal/coke/lignite, firewood, dung, and crop residue. Kitchen and cooking areas were directly observed by the interviewer and classified as separated or non-separated from living areas. The type of fuel used for cooking/heating and the type of kitchen were combined in a three-level variable: Non-solid fuels; solid fuels in separate kitchen and solid fuels in non-separate kitchen. Information about exhaustion systems/chimneys was not collected. Field interviewers directly observed the material used in the construction of roof, walls, and floor of the house and categorized according to the quality of the material as high-quality, mixed and low-quality. Other socio-demographic variables included: location of the household (rural or urban), education of the head of the household (illiterate, literate/primary education, middle education or above), religion (Hindu, Muslim, and other) and the number of siblings (continuous). Source of drinking water was categorized as clean (tap, hand-pump, and tube-well/bore-well) and non-clean (open well, tank/pond, river/lake/spring). Latrine was categorized as: inside the house with regular flush, inside the house with dry/chemical flush, outside the house, and absent.
Analyses were performed using Stata SE 10.0 . Prevalence Ratios (PR) were estimated through Poisson regression through an hierarchical multilevel . The 95% confidence intervals (95%CI) for the estimates were calculated using a variance correction factor for sampling unit and family clustering. Confounders were addressed in the analysis section by stratification (gender) and adjustment (other variables). Analysis was restricted to individuals with complete data on solid-fuel use. The maximum frequency of missing values observed for any variable was 3.5%. Exclusion of the 1612 households with both living and deceased children (0.5% of all households) did not alter the results (data not shown). The 1998 risks were projected onto the 2004 World Health Organization (WHO) totals of child deaths in India [2, 15].
Characteristics of child deaths (between ages 1 to 4 years) and living controls (living children, ages 1 to 4), India 1998-1999.
Child Deaths/Living Controls
Child Deaths/Living Controls
(n = 1,568)
(n = 250,883)
(n = 1,996)
(n = 228,316)
Education Head of household
Middle education or above
Number of siblings
0 to 1
2 or 3
4 or more
Type of house a
Inside - Dry Flush
Inside - Flush
Type of Fuel
Solid fuelse/Sep. kitchen
Solid fuelse/Non-sep kitchen
Prevalence Ratio of solid fuel use comparing post-neonatal deaths (between 29 days and 1 year of age) and living controls (younger than 1 year), India 1998-1999.
Post-Neonatal Deaths/Living Controls
Post-Neonatal Deaths/Living Controls
(n = 1,436)
(n = 68,529)
(n = 1,790)
(n = 61,873)
Type of Fuel
Solid fuelsb/Sep. kitchen
Solid fuelsb/Non-sep kitchen
Prevalence of self-reported pneumonia among living children aged 0-4 years in the three months prior to the survey was 0.3% in colder states and 0.2% in warmer states. Overall, solid-fuel use among living children ages 0-4 years with pneumonia was higher than among living children ages 0-4 years without pneumonia (boys: PR 1.5 95%CI 1.0-2.4; girls: PR 1.9 95%CI 1.1-3.3, Figure 3).
Estimate of the excess number of child deaths (in thousands) associated with solid fuel use in India according to sex and age group, India 1998-1999.
Type of Fuel
Attributable deaths/total deaths
Attributable deaths/total deaths
Neonatal and Post neonatal
N/A (No deaths attributed to solid fuel use)
1 to 4
Non-solid fuels a (a)
Solid fuels b
Solid fuels b/Sep. kitchen (b)
Solid fuels b/Non-Sep. kitchen (c)
All c (d)
TOTAL ATTRIBUTABLE DEATHS (a+b+c)
TOTAL ATTRIBUTABLE DEATH (a+d)
Child mortality risks from solid-fuel use
Deaths from all causes were 30% higher among children ages 1-4 years living in households where solid fuels were used. Child mortality from solid-fuel use in colder regions during winter months was even higher, probably as a consequence of the increase in time spent indoors and higher use of fuels for heating. In colder regions, solid-fuel use was also associated with self-reported pneumonia, especially among girls (Figure 3). Other studies show an association of solid fuel with pneumonia mortality  and respiratory symptoms among children under age 5 . The observed modest risks appear to be consistent over time, as exposure to solid fuel has decreased only modestly (Figure 1). Moreover, we analyzed child mortality from solid-fuel use from the 2005-2006 National Family Health Survey  and found consistent associations (boys PR 1.60 95%CI 0.69-3.74 and girls PR 2.6 95%CI 1.18-6.03) but due to smaller sample size, these risks did not reach statistical significance (data available upon request).
Our observed risks for solid fuel use might still be explained by unmeasured differences in factors that are associated with solid-fuel use. The PRs for child deaths at ages 1-4 years compared to living children of the same age fell considerably after adjustment for child's age, rural/urban area, education of the head of the household, type of house, access to latrine and number of siblings (Figure 2).
For example, we could not measure a child's nutritional status, and this is an important factor contributing to child mortality from respiratory diseases . On the other hand, not attributing neonatal or post neonatal deaths to solid-fuel use may underestimates our absolute mortality projections since solid-fuel use may result in pre-term deliveries and low birth weight, although such increases have not been quantified .
With the exception of the colder regions of India, girl deaths at ages 1-4 years had higher prevalence of solid-fuel use when compared to living girls of the same age than did boys. The frequency of self-reported pneumonia was not different between boys and girls but we observed higher solid-fuel use among girls with self-reported pneumonia. Time spent indoors and proximity to pollution source influence the level of exposure and data also suggest that girls spend more time indoors than boys . Other factors such as gender preference  may also influence treatment access and we believe that differential access to health services may explain the higher mortality among girls. Indeed, hospital based studies have shown that boys are more likely than girls to be admitted for acute respiratory infections . Such findings are sometimes interpreted as if boys had a higher susceptibility to respiratory infections than girls, but the higher hospital admission rates for boys may be a consequence of the gender differences in access to health care [25–29]. Treating child respiratory symptoms from solid fuel smoke may prevent child deaths while not affecting the incidence of respiratory symptoms, and indeed boys and girls had equal incidence of self-reported pneumonia but girls had higher mortality . Other factors may explain the gender differences in survival after the onset of pneumonia and further studies are needed to clarify the role of severity of respiratory diseases and other biological factors (i.e. ability to overcome disease/survive) [31, 32]. Our study is less subject to gender-based selection bias because it collects information directly in the household.
Absolute number of child deaths
The large proportion of children exposed to solid-fuel use in India explains why, even in the presence of lower risk estimates than made previously, solid-fuel use is still responsible for one quarter of all deaths at ages 1-4 years, or 6% of all deaths under age 5 (Table 3). Our prevalence ratios and absolute totals (128 000) are lower than the earlier indirect estimates of child deaths from solid-fuel use in India from the Global Burden of Disease (GBD), which range from 161 000 to 261 000 [2, 15]. But these earlier estimates are quite uncertain for two reasons. First, the ratio of lower respiratory infections to total child mortality in the GBD varies from 22.9% in the 2001 version  to 14.1% in the 2004 . Second, the attributable fraction for solid fuels for lower respiratory infections is 52% in the GBD, but this is based on small, non-representative studies in South Asia, with inadequate adjustment for other household exposures, such as access to water and sanitation. Moreover, the GBD risk estimates relied on studies that estimated odds ratios, which tend to overestimate the true relative risk when exposure is common, as is the case with solid fuel use . Direct estimates of child mortality in India  suggest that lower respiratory infections are responsible for 19.6% (18.4% for boys and 21.0% for girls) of all child deaths, or 432 000 of all 2.2 million child deaths in India in 2004 [2, 9, 15]. One of the major limitations of the study is the fact that we did not have information on cause-specific mortality in this study. However, if we assume that solid-fuel use results in deaths only from acute respiratory infections, then we would attribute about 30% (128 000/432 000) of all child deaths from lower respiratory infections to solid-fuel use.
Solid-fuel use accounts for fewer child deaths than suggested by earlier indirect estimates. Still, it may be responsible for about 6% of all deaths at ages 0-4 years, about 20% of deaths at ages 1-4 years, or about 128 000 child deaths a year in India. The high proportion of the population exposed to solid-fuel, but lower than previously estimated relative risks [18, 30, 34], account for the large absolute number of child deaths. Solid fuel use has declined only modestly in the last decade. This suggests that marked reductions in child mortality from solid-fuel use might only arise with more rapid economic development  spurring far more households to use clean fuel sources [35, 36]. However, while declines in solid fuel use in the future are uncertain, complementary strategies exist today that would reduce child mortality from acute respiratory infection. These include expanded case management for pneumonia and introduction of newer antigens such as those against haemophillus B and streptococcus pneumonia into child vaccination programs (the latter of which might also reduce gender inequalities in child mortality) [21, 37].
A full list of the RGI-CGHR Collaborators is at http://www.nejm.org/doi/suppl/10.1056/NEJMsa0707719/suppl_file/nejm_jha_1137sa1.pdf. All study materials are available freely at http://www.cghr.org. We thank Sir Richard Peto for providing invaluable comments. The opinions expressed here are those of the authors and do not necessarily represent those of Government of India or RGI. DB is supported by the Li Ka Shing Knowledge Institute and Keenan Research Centre at St. Michael's Hospital, University of Toronto. PJ is supported by the Canada Research Chair program.
- Smith KR, Mehta S: The burden of disease from indoor air pollution in developing countries: comparison of estimates. Int J Hyg Environ Health. 2003, 206 (4-5): 279-289. 10.1078/1438-4639-00224.View ArticlePubMedGoogle Scholar
- Lopez AD: Global burden of disease and risk factors. 2006, Washington, DC: Oxford University PressView ArticleGoogle Scholar
- Tamburlini G, von Ehrenstein OS, Bertollini R: Children's Health and the Environment: A Review of Evidence. Environmental issue report No 29. Edited by: Tamburlini G, von Ehrenstein OS, Bertollini R. 2002, Copenhagen: European Environment Agency and the WHO Regional Office for Europe, 223-Google Scholar
- Rinne ST, Rodas EJ, Rinne ML, Simpson JM, Glickman LT: Use of biomass fuel is associated with infant mortality and child health in trend analysis. Am J Trop Med Hyg. 2007, 76 (3): 585-591.PubMedGoogle Scholar
- Ezzati M, Kammen D: Indoor air pollution from biomass combustion and acute respiratory infections in Kenya: an exposure-response study. Lancet. 2001, 358 (9282): 619-624. 10.1016/S0140-6736(01)05777-4.View ArticlePubMedGoogle Scholar
- Mishra V: Indoor air pollution from biomass combustion and acute respiratory illness in preschool age children in Zimbabwe. Int J Epidemiol. 2003, 32 (5): 847-853. 10.1093/ije/dyg240.View ArticlePubMedGoogle Scholar
- Riojas-Rodriguez H, Romano-Riquer P, Santos-Burgoa C, Smith KR: Household firewood use and the health of children and women of Indian communities in Chiapas, Mexico. Int J Occup Environ Health. 2001, 7 (1): 44-53.View ArticlePubMedGoogle Scholar
- McMichael AJ, Smith KR: Seeking a global perspective on air pollution and health. Epidemiology. 1999, 10 (1): 1-4. 10.1097/00001648-199901000-00001.View ArticlePubMedGoogle Scholar
- Ezzati M, World Health Organization: Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. 2004, Geneva: World Health OrganizationGoogle Scholar
- Bruce N, Perez-Padilla R, Albalak R: Indoor air pollution in developing countries: a major environmental and public health challenge. Bull World Health Organ. 2000, 78 (9): 1078-1092.PubMedPubMed CentralGoogle Scholar
- Emmelin A, Wall S: Indoor air pollution: a poverty-related cause of mortality among the children of the world. Chest. 2007, 132 (5): 1615-1623. 10.1378/chest.07-1398.View ArticlePubMedGoogle Scholar
- Special Fertility & Mortality Survey, 1998: A report of 1.1 million Indian households. 2005, New Delhi: Registrar General, I: 302-Google Scholar
- StataCorp: Stata Special Edition. 2008, College Station, Texas: StataCorp, 10.1Google Scholar
- Barros AJ, Hirakata VN: Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003, 3: 21-10.1186/1471-2288-3-21.View ArticlePubMedPubMed CentralGoogle Scholar
- Mathers C, Boerma T, Fat D: The global burden of disease: 2004 update. 2008, Geneva: World Health Organization, 146-Google Scholar
- Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat: World Population Prospects: The 2004 Revision. 2008Google Scholar
- Monitoring the situation of children and women. [http://www.childinfo.org/mortality_underfive.php]
- Johnson AW, Aderele WI: The association of household pollutants and socio-economic risk factors with the short-term outcome of acute lower respiratory infections in hospitalized pre-school Nigerian children. Ann Trop Paediatr. 1992, 12 (4): 421-432.PubMedGoogle Scholar
- Mishra V, Retherford RD: Cooking smoke increases the risk of acute respiratory infection in children. Natl Fam Health Surv Bull. 1997, 1-4. 8Google Scholar
- Ghosh S: National Family health Survey 3(2007). Indian Pediatr. 2007, 44 (8): 619-620.PubMedGoogle Scholar
- Victora CG, Kirkwood BR, Ashworth A, Black RE, Rogers S, Sazawal S, Campbell H, Gove S: Potential interventions for the prevention of childhood pneumonia in developing countries: improving nutrition. Am J Clin Nutr. 1999, 70 (3): 309-320.PubMedGoogle Scholar
- Dasgupta S, Huq M, Khaliquzzaman M, Pandey K, Wheeler D: Who suffers from indoor air pollution? Evidence from Bangladesh. Health Policy Plan. 2006, 21 (6): 444-458. 10.1093/heapol/czl027.View ArticlePubMedGoogle Scholar
- Jha P, Kumar R, Vasa P, Dhingra N, Thiruchelvam D, Moineddin R: Low female[corrected]-to-male [corrected] sex ratio of children born in India: national survey of 1.1 million households. Lancet. 2006, 367 (9506): 211-218. 10.1016/S0140-6736(06)67930-0.View ArticlePubMedGoogle Scholar
- Mahalanabis D, Gupta S, Paul D, Gupta A, Lahiri M, Khaled MA: Risk factors for pneumonia in infants and young children and the role of solid fuel for cooking: a case-control study. Epidemiol Infect. 2002, 129 (1): 65-71. 10.1017/S0950268802006817.View ArticlePubMedPubMed CentralGoogle Scholar
- Datar A, Mukherji A, Sood N: Health infrastructure & immunization coverage in rural India. Indian J Med Res. 2007, 125 (1): 31-42.PubMedGoogle Scholar
- Gupta RS, Gupta A, Gupta HO, Venkatesh S, Lal S: Mother and child service coverage: reproductive and child health programme in Alwar district, Rajasthan state. J Commun Dis. 2006, 38 (1): 79-87.PubMedGoogle Scholar
- Mishra V, Roy TK, Retherford RD: Sex differentials in childhood feeding, health care, and nutritional status in India. Population and development review. 2004, 30 (2): 269-295. 10.1111/j.1728-4457.2004.013_1.x.View ArticleGoogle Scholar
- Borooah VK: Gender bias among children in India in their diet and immunisation against disease. Soc Sci Med. 2004, 58 (9): 1719-1731. 10.1016/S0277-9536(03)00342-3.View ArticlePubMedGoogle Scholar
- Pande RP, Yazbeck AS: What's in a country average? Wealth, gender, and regional inequalities in immunization in India. Soc Sci Med. 2003, 57 (11): 2075-2088. 10.1016/S0277-9536(03)00085-6.View ArticlePubMedGoogle Scholar
- Pandey M, Neupane R, Gautam A: Domestic smoke pollution and acute respiratory infections in a rural community of the hill region of Nepal. Environ Int. 1989, 15: 337-340. 10.1016/0160-4120(89)90046-9.View ArticleGoogle Scholar
- Bhan G, Bhandari N, Taneja S, Mazumder S, Bahl R: The effect of maternal education on gender bias in care-seeking for common childhood illnesses. Soc Sci Med. 2005, 60 (4): 715-724. 10.1016/j.socscimed.2004.06.011.View ArticlePubMedGoogle Scholar
- Rinne ST, Rodas EJ, Bender BS, Rinne ML, Simpson JM, Galer-Unti R, Glickman LT: Relationship of pulmonary function among women and children to indoor air pollution from biomass use in rural Ecuador. Respir Med. 2006, 100 (7): 1208-1215. 10.1016/j.rmed.2005.10.020.View ArticlePubMedGoogle Scholar
- Causes of death in India in 2001-2003. 2009, New Delhi: Registrar General of India Centre for Global Health ResearchGoogle Scholar
- Collings DA, Sithole SD, Martin KS: Indoor woodsmoke pollution causing lower respiratory disease in children. Trop Doct. 1990, 20 (4): 151-155.PubMedGoogle Scholar
- Rehfuess E, Mehta S, Pruss-Ustun A: Assessing household solid fuel use: multiple implications for the Millennium Development Goals. Environ Health Perspect. 2006, 114 (3): 373-378. 10.1289/ehp.8603.View ArticlePubMedPubMed CentralGoogle Scholar
- Smith KR, Samet JM, Romieu I, Bruce N: Indoor air pollution in developing countries and acute lower respiratory infections in children. Thorax. 2000, 55 (6): 518-532. 10.1136/thorax.55.6.518.View ArticlePubMedPubMed CentralGoogle Scholar
- Jha P, Laxminarayan R: Choosing health: an entitlement for all Indians. 2009, Toronto: SHAMBO, 1: 1Google Scholar
- Easton DF, Peto J, Babiker AG: Floating absolute risk: an alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group. Stat Med. 1991, 10 (7): 1025-1035. 10.1002/sim.4780100703.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/10/491/prepub
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