ArticleSSM - population health2022
A general pattern of health erosion in the United States? An examination of self-reported health status from 1997 - 2018.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Self-reported health status in the general population over 2 decades: variation in EQ-5D-3L in Health Survey for England.BMC public health · 2025Article
- Healthy life expectancy by county, race, and ethnicity in the USA, 2009-19: a systematic analysis of health disparities.Lancet regional health. Americas · 2025Article
- English-Spanish Gap in Poor/Fair Self-Reported Health Increased for Hispanic Adults in the United States Between 1997 and 2018.Journal of immigrant and minority health · 2023Article
- Implications of Spanish interviews in health surveys as collected in the United States: The case of Self-Reported Health.Preventive medicine reports · 2023Article
- A comparison of health and socioeconomic gradients in health between the United States and Canada.Social science & medicine (1982) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Purpose: Recent research has found a general pattern of health erosion in self-assessed pain and allostatic load among adults in the United States (US). It remains to be determined if self-reported health status, hereafter SRH, also follows this pattern. The aim of this study was to examine whether a general pattern of health erosion is found in SRH among adults in the United States (US). Methods: Data from the National Health Interview Survey 1997-2018 were used to study sex, educational attainment, and racial/ethnic patterns in SRH by age, period and cohort among adults in the US. The analytic sample consisted of respondents aged 18 years or older at the moment of interview with valid information in the age, sex, education, race/ethnicity and health status question (n = 669,501). Estimates for the percent population reporting poor/fair health were produced by age, period and cohort to study trends in health status by sex, educational attainment and race/ethnicity. All estimates were weighted to account for complex survey design. Results: No discernible pattern of health erosion, or improvement, is observed in the age, period or cohort analyses of the percent of the population reporting poor/fair SRH by sex, educational attainment or race/ethnicity. Conclusions: The analysis indicates that self-reported health does not follows the general pattern of health erosion found in self-assessed pain and allostatic load in the US. The percent of the population reporting poor/fair health status has remained relatively stable between 1997 and 2018. Further research is required to determine whether self-reported health is an appropriate metric to track population health in the US.
Indexed as
Identifiers
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.