Evidence map›Paper›PMID 42284068›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Patterns of Social Risk Factors and Associations With Health Outcomes: Findings From a Latent Class Analysis.

Nicole Pereira, Beth A Glenn, Adam Schickedanz, Xi Zhu

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Nicole PereiraDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, USA.ORCID 0009-0007-1384-1094
Beth A GlennDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, USA.
Adam SchickedanzDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, USA.
Xi ZhuDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionWith growing attention to the role of social factors in shaping health, efforts have emerged to integrate social risk information into population health surveillance and healthcare delivery. However, current approaches to address social risk tend to focus on responding to each risk factor in isolation, overlooking the interconnected nature of multiple social risks that often cluster together.MethodsThis study used latent class analysis to identify profiles of co-occurring social risk using a national sample of 110,028 adults across 17 U.S. states.ResultsThree profiles emerged: Low Social Risk, Moderate Financial Strain with Food Insecurity, and High Financial Strain with Food and Housing Insecurity. These profiles were characterized by their health conditions and examined in relation to self-reported health (SRH). The High Financial Strain with Food and Housing Insecurity profile was characterized by elevated rates of depression, obesity, hypertension, and the highest odds of reporting poor/fair SRH (OR = 3.1, 95% CI: 2.78-3.67). The Moderate Financial Strain with Food Insecurity profile also showed increased odds of poor SRH (OR = 2.03, 95% CI: 1.85-2.23).ConclusionThe findings underscore the importance of understanding clustering of social risks to provide more targeted, effective population health strategies.

Indexed as

Health StatusSocial FactorsAdultFemaleFinancial StressFood InsecurityHumansLatent Class AnalysisMaleMiddle AgedObesityRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsUnited Stateshealth outcomeslatent class analysispopulation healthsocial risk factors

Identifiers

PMID42284068
PMCPMC13263511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.