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Verfasst von:Jung, Lara [VerfasserIn]   i
 De Neve, Jan-Walter [VerfasserIn]   i
 Chen, Simiao [VerfasserIn]   i
 Manne-Goehler, Jennifer [VerfasserIn]   i
 Jaacks, Lindsay M. [VerfasserIn]   i
 Corsi, Daniel J. [VerfasserIn]   i
 Awasthi, Ashish [VerfasserIn]   i
 Subramanian, S. V. [VerfasserIn]   i
 Vollmer, Sebastian [VerfasserIn]   i
 Bärnighausen, Till [VerfasserIn]   i
 Geldsetzer, Pascal [VerfasserIn]   i
Titel:The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India
Titelzusatz:a cross-sectional study of 2.4 million adults
Verf.angabe: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
Jahr:2019
Umfang:13 S.
Fussnoten:Gesehen am 24.04.2020
Titel Quelle:Enthalten in: Social science & medicine
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1967
Jahr Quelle:2019
Band/Heft Quelle:239(2019) Artikel-Nummer 112514, 13 Seiten
ISSN Quelle:1873-5347
Abstract:Background - Diabetes, hypertension, and obesity tend to be positively associated with socio-economic status in low- and middle-income countries (LMICs). It has been hypothesized that these positive socio-economic gradients will reverse as LMICs continue to undergo economic development. We use population-based cross-sectional data in India to examine how a district's economic development is associated with socio-economic differences in cardiovascular disease (CVD) risk factor prevalence between individuals. - Methods - We separately analyzed two nationally representative household survey datasets - the NFHS-4 and the DLHS-4/AHS - that are representative at the district level in India. Diabetes was defined based on a capillary blood glucose measurement, hypertension on blood pressure measurements, obesity on measurements of height and weight, and current smoking on self-report. Five different measures of a district's economic development were used. We analyzed the data using district-level regressions (plotting the coefficient comparing high to low socio-economic status against district-level economic development) and multilevel modeling. - Results - 757,655 and 1,618,844 adults participated in the NFHS-4 and DLHS-4/AHS, respectively. Higher education and household wealth were associated with a higher probability of having diabetes, hypertension, and obesity, and a lower probability of being a current smoker. For diabetes, hypertension, and obesity, we found that a higher economic development of a district was associated with a less positive (or even negative) association between the CVD risk factor and education. For smoking, the association with education tended to become less negative as districts had a higher level of economic development. In general, these associations did not show clear trends when household wealth quintile was used as the measure of socio-economic status instead of education. - Conclusions - While this study provides some evidence for the “reversal hypothesis”, large-scale longitudinal studies are needed to determine whether LMICs should expect a likely reversal of current positive socioeconomic gradients in diabetes, hypertension, and obesity as their countries continue to develop economically.
DOI:doi:10.1016/j.socscimed.2019.112514
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.socscimed.2019.112514
 Volltext: http://www.sciencedirect.com/science/article/pii/S0277953619305088
 DOI: https://doi.org/10.1016/j.socscimed.2019.112514
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Cardiovascular disease
 Diabetes mellitus
 Economic development
 Hypertension
 India
 Multi-level modeling
 Obesity
 Smoking
K10plus-PPN:1696033470
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