Evidence map›Paper›PMID 29277413›Full record

ArticlePreventive medicine2018

Behavioral and mental health risk factor profiles among diverse primary care patients.

Beth A Glenn, Catherine M Crespi, Hector P Rodriguez, Narissa J Nonzee, Siobhan M Phillips, Sherri N Sheinfeld Gorin, Sallie Beth Johnson, Maria E Fernandez, Paul Estabrooks, Rodger Kessler and 6 more

Abstract read
In one paragraph

Article in Preventive medicine, 2018. 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. Health Risk Behavior Patterns in a National Adult Population Survey.International journal of environmental research and public health · 2018
    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

16 authors.

Beth A GlennCenter for Cancer Prevention and Control Research, UCLA Kaiser Permanente Center for Health Equity, Department of Health Policy and Management, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA. Electronic address: bglenn@ucla.edu.
Catherine M CrespiCenter for Cancer Prevention and Control Research, Department of Biostatistics, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA.
Hector P RodriguezDivision of Health Policy and Management, University of California, Berkeley School of Public Health, 50 University Hall, Berkeley, CA 94720, USA.
Narissa J NonzeeCenter for Cancer Prevention and Control Research, UCLA Kaiser Permanente Center for Health Equity, Department of Health Policy and Management, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA.
Siobhan M PhillipsDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive, Chicago, IL 60611, USA.
Sherri N Sheinfeld GorinNew York Physicians against Cancer (NYPAC), Herbert Irving Comprehensive Cancer Center, New York, NY 10032, USA; Division of Cancer Control and Population Sciences (Leidos Biomedical Research, Inc.), National Cancer Institute, 6130 Executive Plaza, Bethesda, MD 20892, USA.
Sallie Beth JohnsonDepartment of Health Sciences Administration, Jefferson College of Health Sciences at Carilion Clinic, 101 Elm Avenue, Roanoke, VA 24016, USA; Department of Family and Community Medicine, Virginia Tech Carilion School of Medicine, 2 Riverside Circle, Roanoke, VA 24016, USA.
Maria E FernandezUniversity of Texas Health Science Center at Houston, School of Public Health, 7000 Fannin Street, Houston, TX 77030, USA.
Paul EstabrooksDepartment of Health Promotion, University of Nebraska Medical Center, 986075 Nebraska Medical Center, Omaha, NE 68198, USA.
Rodger KesslerDoctor of Behavorial Health Program, College of Health Solutions, Arizona State University, 500 North 3rd Street, Phoenix, AZ 85004, USA.
Dylan H RobyDepartment of Health Services Administration, University of Maryland School of Public Health, 4200 Valley Drive, College Park, MD 20742, USA.
Suzanne Heurtin-RobertsImplementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, 6130 Executive Boulevard, Rockville, MD 20852, USA.
Catherine L RohwederUNC Center for Health Promotion and Disease Prevention, The University of North Carolina at Chapel Hill, NC 27599, USA.
Marcia G OryCenter for Population Health and Aging, Texas A&M Health Sciences Center, College Station, TX 77843, USA.
Alex H KristDepartment of Family Medicine and Population Health, Virginia Commonwealth University, PO Box 980251, Richmond, VA 23298, USA.
MOHR Study Group

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
UCLA Clinical and Translational Science InstituteTL1TR000121 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$2.7M
Designing with Dissemination in Mind: Optimization of a mHealth Physical Activity Intervention for Breast Cancer SurvivorsK07CA196840 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PHILLIPS, SIOBHAN MARIE · 2015 to 2019
$729k
NCATS NIH HHS TL1 TR000121NCATS NIH HHS TL1 TR001883NCI NIH HHS K07 CA196840NCI NIH HHS P30 CA016042NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

Behavioral and mental health risk factors are prevalent among primary care patients and contribute substantially to premature morbidity and mortality and increased health care utilization and costs. Although prior studies have found most adults screen positive for multiple risk factors, limited research has attempted to identify factors that most commonly co-occur, which may guide future interventions. The purpose of this study was to identify subgroups of primary care patients with co-occurring risk factors and to examine sociodemographic characteristics associated with these subgroups. We assessed 12 behavioral health risk factors in a sample of adults (n=1628) receiving care from nine primary care practices across six U.S. states in 2013. Using latent class analysis, we identified four distinct patient subgroups: a 'Mental Health Risk' class (prevalence=14%; low physical activity, high stress, depressive symptoms, anxiety, and sleepiness), a 'Substance Use Risk' class (29%; highest tobacco, drug, alcohol use), a 'Dietary Risk' class (29%; high BMI, poor diet), and a 'Lower Risk' class (27%). Compared to the Lower Risk class, patients in the Mental Health Risk class were younger and less likely to be Latino/Hispanic, married, college educated, or employed. Patients in the Substance Use class tended to be younger, male, African American, unmarried, and less educated. African Americans were over 7 times more likely to be in the Dietary Risk versus Lower Risk class (OR 7.7, 95% CI 4.0-14.8). Given the heavy burden of behavioral health issues in primary care, efficiently addressing co-occurring risk factors in this setting is critical.

Indexed as

Primary Health CareAdultAgedDietEthnicityExerciseFemaleHealth BehaviorHumansMaleMental DisordersMiddle AgedPrevalenceRisk FactorsSocioeconomic FactorsSubstance-Related DisordersBehavioral healthLatent class analysisMultiple risk factorsPrimary care

Identifiers

PMID29277413
PMCPMC5930037

What OpenQuestion holds

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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.