Attitude towards purchasing consumer items can be extracted from Demographic and health survey India-2019-2020 (NFHS 5)

Singha Roy Soumyajit; Mithun Sikdar; Nitish Mondal; Christiane Scheffler; Detlef Groth; Michael Hermanussen

doi:10.52905/hbph2023.2.72

Authors

Singha Roy Soumyajit Department of Anthropology, School of Human Sciences, Sikkim University, India https://orcid.org/0000-0003-2104-1947
Mithun Sikdar Anthropological Survey Of India, Southern Regional Centre, Karnataka, India
Nitish Mondal Department of Anthropology, School of Human Sciences, Sikkim University, India
Christiane Scheffler University of Potsdam, Human Biology, Potsdam, Germany https://orcid.org/0000-0003-1954-7578
Detlef Groth University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany https://orcid.org/0000-0002-9441-3978
Michael Hermanussen Aschauhof 3, 24340 Eckernförde – Altenhof, Germany https://orcid.org/0000-0003-4037-1597

DOI:

https://doi.org/10.52905/hbph2023.2.72

Keywords:

consumer items, national health surveys, associated chains, gross domestic production, antropometry

Abstract

Background: National Health Surveys have been part of national health services in many countries, but their data are summary com- pilations and commonly used only for describing trends in health and living conditions.

Aim: Tostatisticallydisclosenetworksofinteractingvariableswithin National Health Survey data.

Sample and methods: We used anthropometric, educational, environ- mental and economic information of people of Sikkim, West Bengal, Telangana, and Gujarat, India, obtained by the Fifth Indian National Family Health Survey (NFHS-5).
We applied a new statistical approach labeled as “St. Nicholas House Analysis” (SNHA). SNHA ranks absolute bivariate correlation coef- ficients in descending order according to magnitude. The method creates hierarchic “association chains” of correlation coefficients de- fined by sequences where reversing the start and end point does not alter the ordering of elements. Association chains characterize de- pendence structures within networks of extensively interacting variables.

Results: SNHA disclosed fundamental differences in the network of anthropometric, educational, environmental and economic variables of the people of Sikkim, and the people of West Ben- gal, Telangana and Gujarat. Whereas relevant interactions among these variables were largely absent in the people of Sikkim, the variables formed characteristic star-shaped networks with wealth quintile and the possession of motorcycles in a strong central position, in the people of West Bengal, Telangana and Gujarat.

Conclusion: Depicting association chains within net- works of extensively interacting variables such as health survey data appears to be a promising statisti- cal tool for disentangling the effects of environmen- tal circumstances, education, and social, economic, political and emotional (SEPE) factors on human growth.

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