Evidence map›Paper›PMID 26163352›Full record

Trial reportInternational journal of behavioral medicine2016

Transtheoretical Model Constructs' Longitudinal Prediction of Sun Protection Over 24 Months.

Miryam Yusufov, Joseph S Rossi, Colleen A Redding, Hui-Qing Yin, Andrea L Paiva, Wayne F Velicer, Geoffrey W Greene, Bryan Blissmer, Mark L Robbins, James O Prochaska

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in International journal of behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Extending Theory-Based Quantitative Predictions to New Health Behaviors.International journal of behavioral medicine · 2016
    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

10 authors.

Miryam YusufovCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA. miryam_yusufov@my.uri.edu.
Joseph S RossiCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
Colleen A ReddingCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
Hui-Qing YinCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
Andrea L PaivaCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
Wayne F VelicerCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
Geoffrey W GreeneDepartment of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, 02881, USA.
Bryan BlissmerDepartment of Kinesiology, University of Rhode Island, Kingston, RI, 02881, USA.
Mark L RobbinsCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.
James O ProchaskaCancer Prevention Research Center, University of Rhode Island, 130 Flagg Road, Kingston, RI, 02881, USA.

Funding

URI Central Behavior Change Research FacilityG20RR030883 · NCRR · UNIVERSITY OF RHODE ISLAND · PI DEHAYES, DONALD H · 2010 to 2010
$2.8M
Optimal TTM Tailoring for Population CessationR01DA023191 · NIDA · UNIVERSITY OF RHODE ISLAND · PI REDDING, COLLEEN A. · 2008 to 2011
$2.5M
Maintenance in Multiple Behaviors with Emphasis on AgingR01AG024490 · NIA · UNIVERSITY OF RHODE ISLAND · PI PROCHASKA, JAMES O · 2006 to 2009
$716k
AUTOMATED POPULATION BASED SMOKING CESSATION PROGRAMSR01CA071356 · NCI · UNIVERSITY OF RHODE ISLAND · PI VELICER, WAYNE F · 1997 to 2000
$484k
SKIN CANCER PREVENTION\CONTROL--EDUCATION RESEARCHR01AR043051 · NIAMS · ROGER WILLIAMS HOSPITAL · PI WEINSTOCK, MARTIN A. · 1994 to 1997
–
NCI NIH HHS CA71356NCI NIH HHS R01 CA071356NCRR NIH HHS G20 RR030883NCRR NIH HHS G20RR030883NIAMS NIH HHS AR43051NIA NIH HHS AG024490NIA NIH HHS R01 AG024490NIDA NIH HHS DA023191NIDA NIH HHS R01 DA023191
6 · The paper itself

Abstract

purposeThis research examined dynamic transtheoretical model (TTM) constructs for adopting sun protection practices. This secondary data analysis pooled four large population-based TTM-tailored intervention studies and examined use of constructs across three groups, organized by longitudinal progress: maintainers, relapsers, and stable non-changers.

methodsA total of 3463 adults, in the USA, who met criteria for unsafe sun exposure at baseline received a TTM-tailored computerized intervention at baseline, 6 months, and 12 months. The final analytic sample consisted of 1894 participants; the majority were female, White, married, and middle-aged. The three groups were assessed with reliable and valid scales assessing use of TTM constructs at baseline, 6 months, 12 months, and 24 months. Analyses included a MANOVA followed by a series of ANOVAs, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each timepoint.

resultsFindings demonstrated that relapsers and maintainers were similar in their use of most TTM processes of change at baseline, with the exception of Consciousness Raising, Stimulus Control, Reinforcement Management, and Self-Liberation.

conclusionsThese findings suggest that although relapsers reverted to unsafe sun practices, their overall greater use of processes of change indicates that their change efforts remain better than that of stable non-changers.

Indexed as

MelanomaSunstrokeAdultBehavior ControlEarly Medical InterventionEnvironmental ExposureFemaleHumansMaleMiddle AgedModels, TheoreticalPrognosisProtective DevicesSecondary PreventionTime FactorsBehavior change theoryHealthInterventionRelapseStages of changeSun exposureTranstheoretical model

Identifiers

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.