Evidence map›Paper›PMID 30525260›Full record

ArticleHealth & social care in the community2019

Modifiable health risk factors, related counselling, and treatment among patients in health centres.

Hailun Liang, May A Beydoun

Abstract read
In one paragraph

Article in Health & social care in the community, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Hailun LiangSchool of Public Administration and Policy, Renmin University of China, Beijing, China.ORCID 0000-0002-9917-411X
May A BeydounNational Institute on Aging Intramural Research Program, Baltimore, Maryland.

Funding

Intramural NIH HHS Z99 AG999999National Natural Science Foundation of China 71804183
6 · The paper itself

Abstract

Chronic disease burden and its related health risk factors are especially concentrated among the poor. Community health centres reach the nation's most vulnerable population. This study explored the prevalence, racial/ethnic, and gender disparities of five modifiable health risk factors and the receipt of related counselling and treatment among patients in U.S. federally qualified health centres. The 2014 Health Center Patient Survey was used for this study. We performed a cross-sectional study. Measures included tobacco use, excessive alcohol consumption, obese/overweight, high blood pressure, high blood cholesterol, and five related counselling/treatment measures. Logistic regression models were conducted to examine the multivariable-adjusted putative associations of several sociodemographic and health-related factors with modifiable health risk and counselling/treatment measures. Preliminary findings revealed differences in modifiable health risk factors across different racial/ethnic groups, while few racial/ethnic differences existed in related counselling/treatment measures. In the multivariable-adjusted logistic regression models, these differences in health risk factors were still apparent, while associations between race/ethnicity status and counselling/treatment measures were not detected. Gender was also a predictor for four types of health risk measures and two types of counselling/treatment measures. Health centre patients had high rates of modifiable health risk factors. The rates were different across race/ethnicity groups, and the differences found did not always favour non-Hispanic Whites. However, the findings reveal equitable access to related counselling/treatment service among patients across race/ethnicity groups.

Indexed as

Health Status DisparitiesAdultChronic DiseaseCommunity Health CentersCounselingCross-Sectional StudiesEthnicityFemaleHealth BehaviorHealth SurveysHumansLogistic ModelsMaleMiddle AgedMinority GroupsRisk Factorscommunity health centreshealth risk factorspreventive servicesvulnerable population

Identifiers

PMID30525260
PMCPMC6626663

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.