Evidence map›Paper›PMID 33740934›Full record

ArticleBMC public health2021

A latent profile analysis of the link between sociocultural factors and health-related risk-taking among U.S. adults.

Jessica K Perrotte, Eric C Shattuck, Colton L Daniels, Xiaohe Xu, Thankam Sunil

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Human studies of mitochondrial biology demonstrate an overall lack of binary sex differences: A multivariate meta-analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Pooled it
  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

5 authors.

Jessica K PerrotteDepartment of Psychology, Texas State University, UAC 253, 601 University Drive, San Marcos, TX, 78666, USA. j.perrotte@txstate.edu.
Eric C ShattuckInstitute for Health Disparities Research, University of Texas at San Antonio, One University Circle, MS 3.02.49, San Antonio, TX, 78249, USA.
Colton L DanielsInstitute for Health Disparities Research, University of Texas at San Antonio, One University Circle, MS 3.02.49, San Antonio, TX, 78249, USA.
Xiaohe XuDepartment of Sociology, University of Texas at San Antonio, One University Circle, San Antonio, TX, 78249, USA.
Thankam SunilDepartment of Public Health, The University of Tennessee at Knoxville, 335 Claxton Complex, 1122 Volunteer Boulevard, Knoxville, TN, 37996, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch suggests that health/safety behaviors (e.g., drinking heavily) and medical behaviors (e.g., donating blood) may be perceived as inherently risky, and further suggests there is substantial variation in the likelihood of engaging in a particular health-related risk behavior across people. Research examining demographic and sociocultural factors related to both health/safety and medical risk-taking is highly limited. Importantly, with very few exceptions the literature examining health risks characterized by potentially hazardous health behaviors (e.g, heavy alcohol use, driving without a seatbelt) is kept separate from the literature examining health risks characterized by potentially beneficial medical behaviors (e.g., donating blood, taking medication). In the interest of health promotion, it is critical for researchers to identify - and describe - individuals who are less inclined to engage in health-harming behaviors while at the same time being more inclined to engage in health-benefiting behaviors. Identifying such a subtype of individuals was the guiding aim for this study.

methodA national sample of adults in the United States responded to a survey on sociocultural and demographic correlates of health behaviors. Health-related risk-taking indicators were measured using the items from the health/safety and medical subscales of the DOSPERT-M. Subtypes of risk-takers were identified using latent profile analysis (LPA). Follow-up analyses to describe subtype demographic characteristics were conducted.

resultsLPA identified four subtypes of risk-takers, including a subtype (n = 565, 45% of the sample; labeled "divergent") that was comprised of individuals who highly endorsed medical risk-taking (e.g., taking medicine, giving blood) and minimally endorsed health/safety risk-taking (e.g., drinking heavily, unprotected sex). Subsequent analyses suggested that, among other findings, divergent profile members were likely to be married, endorse familial interdependence, and orient toward masculinity rather than femininity.

conclusionBy examining potentially modifiable factors related to individuals' inclinations to engage in health protective behaviors, this study is an important step toward improving current health behavior interventions among U.S. adults.

Indexed as

Automobile DrivingRisk-TakingAdultAlcohol DrinkingFemaleHealth BehaviorHumansMaleSurveys and QuestionnairesUnited StatesCollectivismFamilismGenderGender roleHealth behaviorsHealth riskIndividualismLocus of controlMedical risk

Identifiers

PMID33740934
PMCPMC7980547

What OpenQuestion holds

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LicenceCC BY
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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.