Does Self-Assessed Health Reflect the True Health State?

Szczegóły
Abstrakt

Tytuł:: Does Self-Assessed Health Reflect the True Health State?
Autorzy:: Paul P; Centre de Sciences Humaines (CSH, UMIFRE n°20), a Network of Research Units of the National Centre for Scientific Research (CNRS) and the French Ministry of European and Foreign Affairs, New Delhi 110011, India.; Department of Public Health, Yerevan State Medical University, Yerevan 0025, Armenia.
Nguemdjo U; CNRS, AMSE, Aix-Marseille Université, 13001 Marseille, France.; Laboratoire Population Environnement Développement, Aix-Marseille Université, 13001 Marseille, France.
Kovtun N; Department of Statistics and Demography, Taras Shevchenko National University of Kyiv, 03022 Kiev, Ukraine.
Ventelou B; CNRS, AMSE, Aix-Marseille Université, 13001 Marseille, France.
Źródło:: International journal of environmental research and public health [Int J Environ Res Public Health] 2021 Oct 23; Vol. 18 (21). Date of Electronic Publication: 2021 Oct 23.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Original Publication: Basel : MDPI, c2004-
MeSH Terms:: Longitudinal Studies*
Morbidity ; Russia
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Contributed Indexing:: Keywords: Russia; clinical morbidity; endogeneity; perceived health; recursive; semi-ordered
Entry Date(s):: Date Created: 20211113 Date Completed: 20211122 Latest Revision: 20211122
Update Code:: 20240104
PubMed Central ID:: PMC8582715
DOI:: 10.3390/ijerph182111153
PMID:: 34769671
: Czasopismo naukowe

Self-assessed health (SAH) is a widely used tool to estimate population health. However, the debate continues as to what exactly this ubiquitous measure of social science research means for policy conclusions. This study is aimed at understanding the tenability of the construct of SAH by simultaneously modelling SAH and clinical morbidity. Using data from 17 waves (2001-2017) of the Russian Longitudinal Monitoring Survey, which captures repeated response for SAH and frequently updates information on clinical morbidity, we operationalise a recursive semi-ordered probit model. Our approach allows for the estimation of the distributional effect of clinical morbidity on perceived health. This study establishes the superiority of inferences from the recursive model. We illustrated the model use for examining the endogeneity problem of perceived health for SAH, contributing to population health research and public policy development, in particular, towards the organisation of health systems.

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