Evidence map›Paper›PMID 18319099›Full record

ReviewPreventive medicine2008

Methods of quantifying change in multiple risk factor interventions.

Judith J Prochaska, Wayne F Velicer, Claudio R Nigg, James O Prochaska

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Preventive medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. A Cluster Randomized Controlled Trial of a Total Worker HealthInternational journal of environmental research and public health · 2018
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  7. Behavioral impacts of sequentially versus simultaneously delivered dietary plus physical activity interventions: the CALM trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2013
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  18. A Descriptive Study on Multiple Health-Risk Behaviors among Chinese Adults in Hong Kong.International journal of environmental research and public health · 2022
    Article
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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

4 authors.

Judith J ProchaskaDepartment of Psychiatry, University of California, San Francisco, 401 Parnassus Ave - TRC 0984, San Francisco, CA 94143-0984, USA. JProchaska@ucsf.edu
Wayne F Velicer
Claudio R Nigg
James O Prochaska

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MEYERHOFF, DIETER J · 1994 to 2014
$28.2M
Computerized population Programs for Three Cancer RisksR01CA085807 · NCI · UNIVERSITY OF RHODE ISLAND · PI VELICER, WAYNE F · 2001 to 2005
$3.6M
Evaluation of Tobacco Treatment Strategies for Inpatient PsychiatryR01MH083684 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PROCHASKA, JUDITH J. · 2009 to 2013
$2.6M
Testing the Transtheoretical Model of Behavior ChangeR01CA109941 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI NIGG, CLAUDIO R · 2004 to 2007
$859k
Treating Tobacco Dependence in Inpatient PsychiatryK23DA018691 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PROCHASKA, JUDITH J. · 2005 to 2009
$769k
SELF-HELP MODELS &INTERVENTIONS FOR SMOKING CESSATIONR01CA027821 · NCI · UNIVERSITY OF RHODE ISLAND · PI PROCHASKA, JAMES O · 1985 to 2000
$538k
PROMOTING CANCER PREVENTION IN PRIMARY CAREP01CA050087 · NCI · UNIVERSITY OF RHODE ISLAND · PI ABRAMS, DAVID BRIAN · 1989 to 1999
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NCI NIH HHS CA109941NCI NIH HHS CA27821NCI NIH HHS CA 50087NCI NIH HHS CA85807NCI NIH HHS P01 CA050087NCI NIH HHS R01 CA027821NCI NIH HHS R01 CA085807NCI NIH HHS R01 CA109941NIDA NIH HHS DA 018691NIDA NIH HHS DA09253NIDA NIH HHS K23 DA018691NIDA NIH HHS P50 DA009253NIMH NIH HHS R01 MH083684
6 · The paper itself

Abstract

objectiveRisky behaviors such as smoking, alcohol abuse, physical inactivity, and poor diet are detrimental to health, costly, and often co-occur. Greater efforts are being targeted at changing multiple risk behaviors to more comprehensively address the health needs of individuals and populations. With increased interest in multiple risk factor interventions, the field will need ways to conceptualize the issue of overall behavior change.

methodAnalyzing data from over 8000 participants in four multibehavioral interventions, we present five different methods for quantifying and reporting changes in multiple risk behaviors.

resultsThe methods are: (a) the traditional approach of reporting changes in individual risk behaviors; (b) creating a combined statistical index of overall behavior change, standardizing scores across behaviors on different metrics; (c) using a behavioral index; (d) calculating an overall impact factor; and (e) using overarching outcome measures such as quality of life, related biometrics, or cost outcomes. We discuss the methods' interpretations, strengths, and limitations.

conclusionGiven the lack of consensus in the field on how to examine change in multiple risk behaviors, we recommend researchers employ and compare multiple methods in their publications. A dialogue is needed to work toward developing a consensus for optimal ways of conceptualizing and reporting changes in multibehavioral interventions.

Indexed as

Health BehaviorResearch DesignRisk Reduction BehaviorBiometryHealth PromotionHumans

Identifiers

PMID18319099
PMCPMC2288581

What OpenQuestion holds

Textmetadata
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.