Evidence map›Paper›PMID 39886083›Full record

ArticlePreventive medicine reports2025

Changes in public awareness of the social determinants of health over 15 years in Wisconsin, United States.

Stephanie A Robert, Amy Yinan Liu

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

2 authors.

Stephanie A RobertSandra Rosenbaum School of Social Work, University of Wisconsin-Madison, 1350 University Avenue, Madison, WI 53706, USA.
Amy Yinan LiuSandra Rosenbaum School of Social Work, University of Wisconsin-Madison, 1350 University Avenue, Madison, WI 53706, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate 15-year changes in public awareness of the social determinants of health (SDoH) between 2007 and 2023. Methods: A 2007 survey of 1172 Wisconsin, U.S. adults is compared to a 2023 survey of 1631 Wisconsin adults. In both surveys, respondents were asked to rate 16 factors regarding how strongly each impacts health. Regression analyses examine how demographic factors differentiate responses in both survey years. Results: In both 2007 and 2023, the four most highly rated factors affecting health were: personal health practices, stress, health insurance, and access to affordable health care. Between 2007 and 2023, there was little or no increase, and even some decrease, in endorsement of many social determinants of health like income, education, housing, and social support. Older adults, women, and those with lower income were generally more likely to endorse the SDoH in both years. Party identification was the demographic factor that most strongly differentiated responses, with Democrats rating more highly many of the social determinants of health than either Republicans or Independents in both years. This differentiation by party identification was even stronger in 2023 than 2007. Conclusions: Despite consistent research documenting the social determinants of health, growing health care and policy attention to the social determinants of health, and population exposure to a variety of social determinants during the COVID-19 pandemic, there is little or no increase in public recognition of the social determinants of health, and notable increasing partisan divides.

Indexed as

Health careHealth disparitiesPolitical opinionPublic opinionSocial determinants of healthSocioeconomic status

Identifiers

PMID39886083
PMCPMC11780938

What OpenQuestion holds

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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.