Evidence map›Paper›PMID 19554435›Full record

ArticleJournal of community health2009

County-level social environment determinants of health-related quality of life among US adults: a multilevel analysis.

Haomiao Jia, David G Moriarty, Norma Kanarek

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Article in Journal of community health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

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

3 authors.

Haomiao JiaDepartment of Biostatistics, Mailman School of Public Health and School of Nursing, Columbia University, 617 West 168th Street, New York, NY 10032, USA. hj2198@columbia.edu
David G Moriarty
Norma Kanarek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To show that an individual's health-related quality of life (HRQOL) is not determined only by their personal-level characteristics, but also is socially determined by both physical and social environmental characteristics of their communities. This analysis examined the association of selected county-level indicators on respondents' unhealthy days and assessed the utility of mean unhealthy days for US counties as community health indicators. Data came from the 1999-2001 Behavioral Risk Factor Surveillance System. We used multilevel models to calculate the proportion of between-county variation in HRQOL that was explained by county-level contextual variables and examine the causal heterogeneity of some personal-level factors modified by these contextual variables. Counties with worse socioeconomic indicators, high mortality rate, and low life expectancy were associated with higher numbers of unhealthy days. These indicators explained 13-22% variance of county-level physically unhealthy days and 4.5-9.5% variance of county-level mentally unhealthy days. The GINI index, suicide rate, percent uninsured, primary care facilities-to-population ratio, and most county-level demographic and housing indicators also had significant but smaller impact on respondents' unhealthy days. Also, the counties with poorer socioeconomic scores had additional negative HRQOL impact on older persons. This study provides important new empirical information on whether various commonly-measured characteristics of the social environment, which are believed to be social determinants of health, are in fact associated with the perceived physical and mental health of its residents. Our findings provide additional support for the construct validity of county-level HRQOL as a community health indicator.

Indexed as

Health Status DisparitiesPrejudiceQuality of LifeSocial EnvironmentAdultCommunity Health ServicesFemaleGeographyHealth StatusHealth Status IndicatorsHumansMaleMental HealthModels, StatisticalMultivariate AnalysisPoverty

Identifiers

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Registered trials

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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.