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

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

doi:10.1016/j.dib.2019.104486

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

Data Brief. 2019 Sep 13:27:104486. doi: 10.1016/j.dib.2019.104486. eCollection 2019 Dec.

Authors

Lara Jung¹, Jan-Walter De Neve¹, Simiao Chen¹, Jennifer Manne-Goehler², Lindsay M Jaacks^{3

4}, Daniel J Corsi^{5

6}, Ashish Awasthi⁴, S V Subramanian⁷, Sebastian Vollmer⁸, Till Bärnighausen^{1

3

9}, Pascal Geldsetzer³

Affiliations

¹ Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
² Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
³ Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
⁴ Public Health Foundation of India, New Delhi, Delhi NCR, India.
⁵ Ottawa Hospital Research Institute, Ottawa, ON, Canada.
⁶ School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
⁷ Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
⁸ Department of Economics & Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.
⁹ Africa Health Research Institute, Somkhele, KwaZulu-Natal, South Africa.

Abstract

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.

Keywords: AHS, Annual Health Survey; CAB, Clinical, anthropometric, and biochemical; CVD, cardiovascular disease; Cardiovascular disease; DLHS-4, District-Level Household Survey 4; Diabetes mellitus; Education; Household wealth; Hypertension; India; Multi-level modelling; NFHS-4, National Family Health Survey; Obesity; PSU, primary sampling unit; SES, socio-economic status; Smoking.