Evidence map›Paper›PMID 31862106›Full record

ArticleAmerican journal of preventive medicine2020

Racial/Ethnic Variations in Clustered Risk Behaviors in the U.S.

Won K Cook, William C Kerr, Katherine J Karriker-Jaffe, Libo Li, Camillia K Lui, Thomas K Greenfield

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

18 citing papers in PubMed, 24 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Won K CookPublic Health Institute, Alcohol Research Group, Emeryville, California. Electronic address: wcook@arg.org.
William C KerrPublic Health Institute, Alcohol Research Group, Emeryville, California.
Katherine J Karriker-JaffePublic Health Institute, Alcohol Research Group, Emeryville, California.
Libo LiPublic Health Institute, Alcohol Research Group, Emeryville, California.
Camillia K LuiPublic Health Institute, Alcohol Research Group, Emeryville, California.
Thomas K GreenfieldPublic Health Institute, Alcohol Research Group, Emeryville, California.
Public Health Institute · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI LUI, CAMILLIA K. · 1985 to 2025
$34.1M
Inter-Relationships Between Life-Course Alcohol Patterns and Health ConditionsR01AA021448 · NIAAA · PUBLIC HEALTH INSTITUTE · PI KERR, WILLIAM C. · 2014 to 2017
$1.6M
Drinking Patterns, Lifestyle Factors & Chronic Conditions in Asian AmericansR21AA026654 · NIAAA · PUBLIC HEALTH INSTITUTE · PI COOK, WON KIM · 2019 to 2020
$421k
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA021448NIAAA NIH HHS R21 AA026654
6 · The paper itself

Abstract

introductionAlcohol misuse, cigarette smoking, poor diet, and physical inactivity, known as the "big four" contributors to chronic conditions and mortality, typically co-occur or cluster together, with their synergistic effect more detrimental to health than their cumulative individual effects. Little research has been reported on race/ethnicity-specific analyses of the clustering of these behaviors in the U.S. This study identified clustered risk behaviors among whites, blacks, and Hispanics and examined whether unhealthy clusters were associated with lower SES (assessed by education level and family income) and poor health status.

methodsA nationally representative sample of U.S. adults aged 30-69 years (n=9,761) from the 2010 and 2015 National Alcohol Surveys was used to perform latent class analysis and multinomial and logistic regression modeling in 2018-2019. Obesity was used as a proxy for unhealthy diet.

resultsThree lifestyle classes were identified in each group. The relatively healthy lifestyle class was identified among whites and Hispanics. The nonsmoking and low risky drinking class among blacks, though showing a healthier lifestyle than the other 2 classes, still had relatively high prevalence of inactivity and obesity. The inactive and obese class was found in all 3 groups. Also identified were the smoking and risky drinking class among whites; the smoking and inactive class among blacks; and the smoking, inactive, and risky drinking class among Hispanics. For all 3 groups, unhealthy lifestyle classes mostly were associated with lower SES. Unhealthy lifestyle classes were also associated with poorer health status.

conclusionsMulti-behavior interventions are warranted to address inactivity and obesity in all 3 groups and unhealthy clusters involving smoking in each group.

Indexed as

Health StatusRisk-TakingSocioeconomic FactorsAdultAgedAlcohol DrinkingEthnicityFemaleHumansMaleMiddle AgedObesityRacial GroupsSedentary BehaviorSmokingSurveys and Questionnaires

Identifiers

PMID31862106
PMCPMC7004223
OpenAlexW2995377459

What OpenQuestion holds

Textmetadata
LicenceTDM
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.