Top

Published in:

01-03-2013 | Original Research

Treatment-enhanced paired action contributes substantially to change across multiple health behaviors: secondary analyses of five randomized trials

Authors: Hui-Qing Yin, BA, James O Prochaska, PhD, Joseph S Rossi, PhD, Colleen A Redding, PhD, Andrea L Paiva, PhD, Bryan Blissmer, PhD, Wayne F Velicer, PhD, Sara S Johnson, PhD, Hisanori Kobayashi, PhD

Published in: Translational Behavioral Medicine | Issue 1/2013

ABSTRACT

The dominant paradigm of changing multiple health behaviors (MHBs) is based on treating, assessing, and studying each behavior separately. This study focused on individuals with co-occurring baseline health-risk behavior pairs and described whether they changed over time on both or only one of the behaviors within each pair. Data from five randomized trials of computer-tailored interventions (CTIs) that simultaneously treated MHBs were analyzed. The differences between treatment and control proportions that achieved paired action and singular action at 24 months follow-up, and the proportional contribution of paired action to overall change on each behavior, were assessed across 12 behavior pairs (including energy balance, addictive, and appearance-related behaviors). CTIs consistently produced more paired action across behavior pairs. Paired action contributed substantially more to the treatment-related outcomes than singular action. Studying concurrent changes on MHBs as demonstrated allows the effect of simultaneously treating MHBs to be assessed.

Berrigan D, Dodd K, Troiano RP, Krebs-Smith SM, Barbash RB. Patterns of health behavior in U.S. adults. Prev Med. 2003;36(5):615-623.PubMedCrossRef

Fine LJ, Philogene GS, Gramling R, Coups EJ, Sinha S. Prevalence of multiple chronic disease risk factors: 2001 national health interview survey. Am J Prev Med. 2004;27(2S):18-24.PubMedCrossRef

Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004;291(10):1238-1245.PubMedCrossRef

Khaw K, Wareham N, Bingham S, Welch A, Luben R, Day N. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med. 2008;5(1):e12.PubMedCrossRef

Kvaavik E, Batty G, Ursin G, Huxley R, Gale CR. Influence of individual and combined health behaviors on total and cause-specific mortality in men and women: the United Kingdom health and lifestyle survey. Arch Intern Med. 2010;170(8):711-718.PubMedCrossRef

Doll R, Peto R, Boreham J, Sutherland I. Mortality in relation to smoking: 50 years’ observations on male British doctors. Br Med J. 2004;328:1519.CrossRef

Djoussé L, Driver JA, Gaziano J. Relation between modifiable lifestyle factors and lifetime risk of heart failure. JAMA. 2009;302(4):394-400.PubMedCrossRef

Irwin ML, Mayne ST. Impact of nutrition and exercise on cancer survival. Cancer J. 2008;14(6):435-441.PubMedCrossRef

Blot WJ, McLaughlin JK, Winn DM, et al. Smoking and drinking in relation to oral and pharyngeal cancer. Cancer Res. 1988;48:3282-3287.PubMed

10.

Xu W, Zhang X, Gao Y, et al. Joint effect of cigarette smoking and alcohol consumption on mortality. Prev Med. 2007;45(4):313-319.PubMedCrossRef

11.

Goetzel RZ, Anderson DR, Whitmer R, et al. The relationship between modifiable health risks and health care expenditures: an analysis of the multi-employer HERO health risk and cost database. J Occup Environ Med. 1998;40(10):843-854.PubMedCrossRef

12.

Burton WN, Chen CC, Daniel J, Schultz AB, Edington DW. Measuring the relationship between employees’ health risk factors and corporate pharmaceutical expenditures. J Occup Environ Med. 2003;45(8):793-802.PubMedCrossRef

13.

Wright DW, Beard MJ, Edington DW. Association of health risks with the cost of time away from work. J Occup Environ Med. 2002;44(12):1126-1134.PubMedCrossRef

14.

Edington DW. Emerging research: a view from one research center. Am J Health Promot. 2001;15(5):341-349.PubMedCrossRef

15.

Wright D, Adams L, Beard MJ, et al. Comparing excess costs across multiple corporate populations. J Occup Environ Med. 2004;46(9):937-945.PubMedCrossRef

16.

Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance—United States, 2005. J Sch Health. 2006;76:353-372.PubMedCrossRef

17.

Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance—United States, 2009. MMWR Morb Mortal Wkly Rep. 2010;59(SS05):1-142.

18.

Goldstein MG, Whitlock EP, DePue J. Multiple behavioral risk factor interventions in primary care: summary of research evidence. Am J Prev Med. 2004;27(2S):61-79.PubMedCrossRef

19.

National Institutes of Health. NIH science of behavior change—meeting summary report 2009. http://commonfund.nih.gov/pdf/SOBC_Meeting_Summary_2009.pdf. Accessed November 17, 2011.

20.

Prochaska JJ, Prochaska JO. A review of multiple health behavior change interventions for primary prevention. Am J Lifestyle Med. 2011;5(3):208-221.CrossRef

21.

Prochaska JO, Velicer WF, Rossi JS, et al. Multiple risk expert systems interventions: impact of simultaneous stage-matched expert system interventions for smoking, high-fat diet, and sun exposure in a population of parents. Health Psychol. 2004;23(5):503-516.PubMedCrossRef

22.

Prochaska JO, Velicer WF, Redding C, et al. Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms. Prev Med. 2005;41(2):406-416.PubMedCrossRef

23.

Johnson SS, Paiva AL, Cummins CO, et al. Transtheoretical model-based multiple behavior intervention for weight management: effectiveness on a population basis. Prev Med. 2008;46(3):238-246.PubMedCrossRef

24.

Mauriello LM, Ciavatta MMH, Paiva AL, et al. Results of a multi-media multiple behavior obesity prevention program for adolescents. Prev Med. 2010;51(6):451-456.PubMedCrossRef

25.

Velicer WF, Redding CA, Paiva AL, et al. Multiple behavior interventions to prevent substance abuse and increase energy balance behaviors in middle school students. Transl Behav Med. In press.

26.

Velicer WF, Prochaska JO, Bellis JM, DiClemente CC, Rossi JS, Fava JL, Steiger JH. An expert system intervention for smoking cessation. Addict Behav. 1993;13:269-290.CrossRef

27.

Redding CA, Prochaska JO, Pallonen UE, et al. Transtheoretical individualized multimedia expert systems targeting adolescents’ health behaviors. Cog Behav Prac. 1999;6:144-153.CrossRef

28.

Prochaska JJ, Velicer WF, Nigg CR, Prochaska JO. Methods of quantifying change in multiple risk factor interventions. Prev Med. 2008;46:260-265.PubMedCrossRef

29.

Prochaska JO, Butterworth S, Redding CA, et al. Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion. Prev Med. 2008;46(3):226-231.PubMedCrossRef

30.

Prochaska JJ, Velicer WF, Prochaska JO, Delucchi K, Hall SM. Comparing intervention outcomes in smokers treated for single versus multiple behavioral risks. Health Psychol. 2006;25:380-388.PubMedCrossRef

31.

Blissmer B, Prochaska JO, Velicer WF, et al. Common factors predicting long-term changes in multiple health behaviors. J Health Psychol. 2010;15(2):205-214.PubMedCrossRef

32.

Paiva AL, Prochaska JO, Yin H-Q, et al. Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: coaction results of a pooled data analysis of three trials. Prev Med. 2012;54(5):331-334.PubMedCrossRef

33.

Noar S, Benac C, Harris M. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133(4):673-693.PubMedCrossRef

34.

Krebs P, Prochaska J, Rossi J. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010;51(3–4):214-221.PubMedCrossRef

35.

Velicer WF, Redding CA, Sun X, Prochaska JO. Demographic variables, smoking variables, and outcome across five studies. Health Psychol. 2007;26(3):278-287.PubMedCrossRef

36.

Evers KE, Prochaska JO, Johnson JL, Mauriello LM, Padula JA, Prochaska JM. A randomized clinical trial of a population- and transtheoretical model-based stress-management intervention. Health Psychol. 2006;25(4):521-529.PubMedCrossRef

37.

Velicer WF, Redding CA, Paiva AL, et al. Project BEST: tailored interventions for multiple risk factor prevention for adolescents. Ann Behav Med. 2011;41:s139.CrossRef

38.

Linnan LA, Emmons KM, Klar N, Fava JL, Laforge RG, Abrams DB. Challenges to improving the impact of worksite cancer prevention programs: comparing reach, enrollment, and attrition using active versus passive recruitment strategies. Ann Behav Med. 2002;24(2):157-166.PubMedCrossRef

39.

Velicer WF, Prochaska JO, Redding CA, et al. Efficacy of expert system interventions for employees to decrease smoking, dietary fat, and sun exposure. Int J Behav Med. 2004;11(S1):277.

40.

Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: L. Erlbaum Associates; 1988.

41.

Rossi JS. Tables of effect size for z score tests of differences between proportions and between correlation coefficients. Educ Psychol Meas. 1985;45(4):737-743.CrossRef

42.

Rossi JS. Statistical power analysis. In: Weiner IB, Schinka JA, Velicer WF, eds. Handbook of psychology. Volume 2: research methods in psychology. 2nd ed. Hoboken: John Wiley; 2013.

43.

Lipsey MW, Wilson DB. Practical meta-analysis. Thousand Oaks: Sage Publications; 2001.

44.

Cooper HM, Hedges LV, Valentine JC. The handbook of research synthesis and meta-analysis. New York: Russell Sage Foundation; 2009.

Title: Treatment-enhanced paired action contributes substantially to change across multiple health behaviors: secondary analyses of five randomized trials
Authors: Hui-Qing Yin, BA
James O Prochaska, PhD
Joseph S Rossi, PhD
Colleen A Redding, PhD
Andrea L Paiva, PhD
Bryan Blissmer, PhD
Wayne F Velicer, PhD
Sara S Johnson, PhD
Hisanori Kobayashi, PhD
Publication date: 01-03-2013
Publisher: Springer-Verlag
Published in: Translational Behavioral Medicine / Issue 1/2013
Print ISSN: 1869-6716
Electronic ISSN: 1613-9860
DOI: https://doi.org/10.1007/s13142-013-0193-4

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Treatment-enhanced paired action contributes substantially to change across multiple health behaviors: secondary analyses of five randomized trials

ABSTRACT

Keynote webinar | Spotlight on medication adherence

Springer Medicine

ABSTRACT

Please log in to get access to this content

Other articles of this Issue 1/2013

Preventing substance abuse and increasing energy balance in middle school students: What works?

Multiple behavior interventions to prevent substance abuse and increase energy balance behaviors in middle school students

Advances in multiple health behavior change research

The challenges of translating an efficacious smoking cessation program, Commit to Quit, to the community setting of YMCAs

Sociodemographic and social contextual predictors of multiple health behavior change: data from the Healthy Directions–Small Business study

Longitudinal associations between health behaviors and mental health in low-income adults