Evidence map›Paper›PMID 40299914›Full record

ArticlePloS one2025

Well-being inequities in eleven rural Georgia communities: A latent profile analysis.

April K Hermstad, Regine Haardörfer, Kimberly Jacob Arriola, Peter Stoepker, Emily L Leung, Michelle C Kegler

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

April K HermstadRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-5676-6468
Regine HaardörferRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0002-5470-9352
Kimberly Jacob ArriolaRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Peter StoepkerCollege of Health and Human Sciences, Kansas State University, Manhattan, Kansas, United States of America.
Emily L LeungRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Michelle C KeglerRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal well-being is a broad term that encompasses life domains that are not strictly health related, including social, emotional, financial, and environmental factors. Well-being is highly correlated with a range of sociodemographics and health outcomes. Little is known about well-being in rural communities, although the literature suggests that rural communities may be structurally and demographically disadvantaged regarding well-being. This cross-sectional study examined sociodemographic and health-related differences in key well-being domains, using the Personal Well-being Index (PWI). Latent Profile Analysis was used to identify demographic traits and health-related factors associated with differing levels of well-being. As part of a cross-site evaluation of a rural health initiative, we conducted a random, population-based mail survey in 11 rural counties in Georgia (USA). Between December 2018 and June 2019, surveys were mailed to 10,621 households, with 2,788 individuals completing the survey (26.2% response rate). We observed consistent differences in PWI scores and for each domain comprising the PWI across all sociodemographic categories, with characteristics that have historically conferred advantages in the USA (e.g., male gender, White race) generally being associated with greater well-being. The Latent Profile Analysis revealed five distinct well-being profiles reflecting different levels of well-being, with most respondents falling into the Very High or High well-being profile groups. Despite structural and demographic disadvantages, well-being and its sociodemographic and health-related correlates in this rural sample were comparable to that of urban settings. Coalitions working in partnership with researchers and evaluators may be an effective mechanism for identifying the factors that influence well-being and health. Interventions on social determinants of health may help determine what approaches are successful and best promote well-being, in addition to health, while also reducing socioeconomic inequities.

Indexed as

Health Status DisparitiesRural PopulationAdultAgedCross-Sectional StudiesFemaleGeorgiaHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID40299914
PMCPMC12040219

What OpenQuestion holds

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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.