ArticleInternational journal of environmental research and public health2021
Does Self-Assessed Health Reflect the True Health State?
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Understanding health literacy and digital healthy diet literacy in rural women in Türkiye: a cross-sectional study on social media use and Mediterranean diet adherence.Frontiers in public health · 2025Article
- Predicting population-level vulnerability among pregnant women using routinely collected data and the added relevance of self-reported data.European journal of public health · 2024Article
- Observable, but Not Unobservable Health Numbers are Associated With Self-Reported Health: NHANES 2017-2020.American journal of lifestyle medicine · 2024Article
- Correlation between socio-demographic characteristics, metabolic control factors and personality traits with self-perceived health status in patients with diabetes: A cross-sectional study.Journal of diabetes and metabolic disorders · 2024Article
- Factors influencing utilization of healthcare services for internal migrant older adults in Xuzhou, China: based on Anderson's model.Frontiers in public health · 2024Article
- Predicting health services utilization using a score of perceived barriers to medical care: evidence from rural Senegal.BMC health services research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.