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Nationally representative household survey data for studying the interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India

In this article, we describe the dataset used in our study entitled “The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults”, recently published in Social Science &...

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Main Authors: Jung, Lara (Author) , De Neve, Jan-Walter (Author) , Chen, Simiao (Author) , Manne-Goehler, Jennifer (Author) , Jaacks, Lindsay M. (Author) , Corsi, Daniel J. (Author) , Awasthi, Ashish (Author) , Subramanian, S. V. (Author) , Vollmer, Sebastian (Author) , Bärnighausen, Till (Author) , Geldsetzer, Pascal (Author)
Format: Article (Journal)
Language:English
Published: 13 September 2019
In: Data in Brief
Year: 2019, Volume: 27, Pages: 104486
ISSN:2352-3409
DOI:10.1016/j.dib.2019.104486
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.dib.2019.104486
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S2352340919308418
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Author Notes:Lara Jung, Jan-Walter De Neve, Simiao Chen, Jennifer Manne-Goehler, Lindsay M. Jaacks, Daniel J. Corsi, Ashish Awasthi, S. V. Subramanian, Sebastian Vollmer, Till Bärnighausen, Pascal Geldsetzer
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Summary:In this article, we describe the dataset used in our study entitled “The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults”, recently published in Social Science & Medicine, and present supplementary analyses. We used data from three different household surveys in India, which are representative at the district level. Specifically, we analyzed pooled data from the District-Level Household Survey 4 (DLHS-4) and the second update of the Annual Health Survey (AHS), and separately analyzed data from the National Family Health Survey (NFHS-4). The DLHS-4 and AHS sampled adults aged 18 years or older between 2012 and 2014, while the NFHS-4 sampled women aged 15-49 years and - in a subsample of 15% of households - men aged 15-54 years in 2015 and 2016. The measures of individual-level socio-economic status that we used in both datasets were educational attainment and household wealth quintiles. The measures of district-level development, which we calculated from these data, were i) the percentage of participants living in an urban area, ii) female literacy rate, and iii) the district-level median of the continuous household wealth index. An additional measure of district-level development that we used was Gross Domestic Product per capita, which we obtained from the Planning Commission of the Government of India for 2004/2005. Our outcome variables were diabetes, hypertension, obesity, and current smoking. The data were analyzed using both district-level regressions and multilevel modelling.
Item Description:Gesehen am 10.07.2020
Physical Description:Online Resource
ISSN:2352-3409
DOI:10.1016/j.dib.2019.104486

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