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Socioenvironmental factors associated with heat and cold-related mortality in Vadu HDSS, western India: a population-based case-crossover study
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR). Vadu Rural Health Program, KEM Hospital Research Centre, Pune 411011, India; INDEPTH Network, Accra, Ghana.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR).
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2017 (English)In: International journal of biometeorology, ISSN 0020-7128, E-ISSN 1432-1254, Vol. 61, no 10, p. 1797-1804Article in journal (Refereed) Published
Abstract [en]

Ambient temperatures (heat and cold) are associated with mortality, but limited research is available about groups most vulnerable to these effects in rural populations. We estimated the effects of heat and cold on daily mortality among different sociodemographic groups in the Vadu HDSS area, western India. We studied all deaths in the Vadu HDSS area during 2004-2013. A conditional logistic regression model in a case-crossover design was used. Separate analyses were carried out for summer and winter season. Odds ratios (OR) and 95% confidence intervals (CI) were estimated for total mortality and population subgroups. Temperature above a threshold of 31 A degrees C was associated with total mortality (OR 1.48, CI = 1.05-2.09) per 1 A degrees C increase in daily mean temperature. Odds ratios were higher among females (OR 1.93; CI = 1.07-3.47), those with low education (OR 1.65; CI = 1.00-2.75), those owing larger agricultural land (OR 2.18; CI = 0.99-4.79), and farmers (OR 1.70; CI = 1.02-2.81). In winter, per 1 A degrees C decrease in mean temperature, OR for total mortality was 1.06 (CI = 1.00-1.12) in lag 0-13 days. High risk of cold-related mortality was observed among people occupied in housework (OR = 1.09; CI = 1.00-1.19). Our study suggests that both heat and cold have an impact on mortality particularly heat, but also, to a smaller degree, cold have an impact. The effects may differ partly by sex, education, and occupation. These findings might have important policy implications in preventing heat and cold effects on particularly vulnerable groups of the rural populations in low and middle-income countries with hot semi-arid climate.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 61, no 10, p. 1797-1804
Keyword [en]
Heat, Cold, Temperature, Mortality, Socioeconomic factors, India
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-141996DOI: 10.1007/s00484-017-1363-8ISI: 000413145100008PubMedID: 28527152OAI: oai:DiVA.org:umu-141996DiVA, id: diva2:1159086
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-21Bibliographically approved

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Ingole, VijendraSchumann, BarbaraRocklöv, Joacim
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