Evidence map›Paper›PMID 22006293›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2012

Clustering of unhealthy behaviors in the aerobics center longitudinal study.

Mariane Héroux, Ian Janssen, Duck-chul Lee, Xuemei Sui, James R Hebert, Steven N Blair

Open access · hybridAbstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 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 2 institutions in 2 countries.

Mariane HérouxSchool of Kinesiology and Health Studies, Queen's University, 28 Division Street Kingston, Ontario, Canada K7L 3 N6.
Ian Janssen
Duck-chul Lee
Xuemei Sui
James R Hebert
Steven N Blair
University of South Carolina · USQueen's University · CA

Funding

Impact of Physical Fitness and Exercise on HealthR37AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2002 to 2005
$2.7M
CORONARY ARTERY CALCIUM, EXERCISE TESTS, AND CHD OUTCOMER01HL062508 · NHLBI · COOPER INSTITUTE · PI LAMONTE, MICHAEL J · 1999 to 2004
$2.5M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
Expanding Mentoring Capacity in High-Risk PopulationsK05CA136975 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2009 to 2013
$801k
Understanding Patterns of Change in Obesity and Physical Activity in AdultsR21DK088195 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SUI, XUEMEI · 2010 to 2011
$397k
CIHRNCI NIH HHS K05 CA136975NHLBI NIH HHS HL62508NHLBI NIH HHS R01 HL062508NIA NIH HHS AG06945NIA NIH HHS R01 AG006945NIA NIH HHS R37 AG006945NIDDK NIH HHS R21 DK088195NIDDK NIH HHS R21DK088195
6 · The paper itself

Abstract

backgroundClustering of unhealthy behaviors has been reported in previous studies; however the link with all-cause mortality and differences between those with and without chronic disease requires further investigation.

objectivesTo observe the clustering effects of unhealthy diet, fitness, smoking, and excessive alcohol consumption in adults with and without chronic disease and to assess all-cause mortality risk according to the clustering of unhealthy behaviors.

methodsParticipants were 13,621 adults (aged 20-84) from the Aerobics Center Longitudinal Study. Four health behaviors were observed (diet, fitness, smoking, and drinking). Baseline characteristics of the study population and bivariate relations between pairs of the health behaviors were evaluated separately for those with and without chronic disease using cross-tabulation and a chi-square test. The odds of partaking in unhealthy behaviors were also calculated. Latent class analysis (LCA) was used to assess clustering. Cox regression was used to assess the relationship between the behaviors and mortality.

resultsThe four health behaviors were related to each other. LCA results suggested that two classes existed. Participants in class 1 had a higher probability of partaking in each of the four unhealthy behaviors than participants in class 2. No differences in health behavior clustering were found between participants with and without chronic disease. Mortality risk increased relative to the number of unhealthy behaviors participants engaged in.

conclusionUnhealthy behaviors cluster together irrespective of chronic disease status. Such findings suggest that multi-behavioral intervention strategies can be similar in those with and without chronic disease.

Indexed as

ExerciseHealth BehaviorAdultAlcohol DrinkingChronic DiseaseCluster AnalysisDietFemaleHumansLongitudinal StudiesMaleMiddle AgedMortalitySedentary BehaviorSmokingSurveys and Questionnaires

Identifiers

PMID22006293
PMCPMC3304050
OpenAlexW2048402622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.