Tailored Versus Standard Internet-delivered Interventions to Promote Physical Activity in Older Women

Hageman, Patricia A.; Walker, Susan Noble; Pullen, Carol H.

doi:10.1519/00139143-200504000-00005

Cited by 70 publications

(101 citation statements)

References 24 publications

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“…Although the effect sizes were small, a small effect size can make a useful contribution to the population's health using low-cost interventions readily available to the general public. Our study adds to the literature on tailoring that to date has found mixed evidence of the efficacy of tailoring advice in positively influencing attitudes toward undertaking physical activity (Bull, Holt, Kreuter, Clark, & Scharff, 2001;Calfas et al, 2002;Cardinal & Sachs, 1995;Hageman, Noble Walker, & Pullen, 2005;Hurling et al, 2007;Hurling, Fairley, & Dias, 2006;Kreuter, Bull, Clark, & Oswald, 1999;Kreuter, Oswald, Bull, & Clark, 2000;Vandelanotte & De Bourdeaudhuij, 2003). The action plan increased confidence but not intention to undertake SBT.…”

Section: Discussionmentioning

confidence: 70%

Web-Site-Based Tailored Advice to Promote Strength and Balance Training: An Experimental Evaluation

Nyman¹,

Yardley²

2009

Journal of Aging and Physical Activity

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This study evaluated a Web site providing tailored advice to encourage older people to undertake strength and balance training (SBT). Adults age 60-88 (N = 302) were randomized to read either generic advice or advice tailored to their self-perceived balance problems and activity preferences. Between-groups differences in attitudes toward SBT after reading the advice did not quite reach significance (p = .059), but the tailored group reported higher ratings than the generic group that the advice was personally relevant (p = .017) and that the activities would be good for them (p = .047). Within-groups differences in the tailored group showed that completing an action plan increased confidence in undertaking SBT (p = .006). These findings were supported by a meta-analysis that pooled the effect sizes with those of a previous study. Thus, a tailored Web site might be a cost-effective way of encouraging some older people to undertake SBT.

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Section: Discussionmentioning

confidence: 70%

Web-Site-Based Tailored Advice to Promote Strength and Balance Training: An Experimental Evaluation

Nyman¹,

Yardley²

2009

Journal of Aging and Physical Activity

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“…Three studies had findings favoring eHealth interventions influencing physical activity. 23,25,26 In six studies, the findings were statistically indeterminate 15,19,[20][21][22]24 and in one study there was a between group difference at post-test that favored the control group for moderate physical activity levels. 18…”

Section: Physical Activity Interventionsmentioning

confidence: 97%

A Review of eHealth Interventions for Physical Activity and Dietary Behavior Change

Norman

Zabinski

Adams

et al. 2007

American Journal of Preventive Medicine

551

451

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Objective-To review eHealth intervention studies for adults and children that targeted behavior change for physical activity, healthy eating, or both behaviors.Data Sources-Systematic literature searches were performed using five databases: Medline, PsychInfo, CINAHL, ERIC, and the Cochrane Library to retrieve articles. Study Inclusion and ExclusionCriteria-Articles published in scientific journals were included if they evaluated an intervention for physical activity and/or dietary behaviors, or focused on weight loss; used randomized or quasi-experimental designs; measured outcomes at baseline and a follow-up period; and included an intervention where participants interacted with some type of electronic technology either as the main intervention or an adjunct component. All studies were published between 2000 and 2005.Results-Eighty-six publications were initially identified, of which 49 met the inclusion criteria (13 physical activity publications, 16 dietary behaviors publications, and 20 weight loss or both physical activity and diet publications), and represented 47 different studies. Studies were described on multiple dimensions, including sample characteristics, design, intervention, measures, and results. eHealth interventions were superior to comparison groups for 21/41 (51%) studies (3 physical activity, 7 diet, 11 weight loss/physical activity and diet). Twenty-four studies had indeterminate results, and in four studies the comparison conditions outperformed eHealth interventions.Conclusions-Published studies of eHealth interventions for physical activity and dietary behavior change are in their infancy. Results indicated mixed findings related to the effectiveness of eHealth interventions. Interventions that feature interactive technologies need to be refined and more rigorously evaluated to fully determine their potential as tools to facilitate health behavior change.

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“…when saturation was achieved. 16 Twentyseven papers were included in the final diversity sample, reporting interventions for: physical activity [17][18][19][20][21][22][23][24][25][26][27][28][29] ; smoking cessation [30][31][32][33][34] ; weight [35][36][37] ; physical activity and nutrition 38 ; nutrition 39 ; chronic pain 40 ; dyspnea 41 ; arthritis 42 ; and breast cancer risk. 43 Four of these programmes contained telemedicine components.…”

Section: Phase 1 Diversity Samplingmentioning

confidence: 99%

“…The diversity sample contained 15 more effective interventions, 18,20,21,[25][26][27][28][29][30][31][34][35][36][37]41 11 less effective interventions, 17,19,[22][23][24]32,33,[38][39][40]42 one intervention reporting only process evaluations, 43 and no ineffective interventions.…”

Section: Phase 1 Diversity Samplingmentioning

confidence: 99%

What Design Features Are Used in Effective e-Health Interventions? A Review Using Techniques from Critical Interpretive Synthesis

Morrison

Yardley

Powell

et al. 2012

Telemedicine and e-Health

276

265

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The effectiveness of eHealth interventions varies greatly. Despite this, there has been relatively little formal consideration of how differences in the design of an intervention (i.e. how the content is delivered) may explain why some interventions are more effective than others. This review primarily examines the use of the Internet to provide educational and self-management interventions to promote health. The paper develops hypotheses about how the design of these interventions may be associated with outcomes. In total, 52 published reports from both a diversity and a representative sample were reviewed using techniques from Critical Interpretative Synthesis. Four core interactive design features were identified, which may mediate the effects of intervention design on outcomes: social context and support; contacts with intervention; tailoring; and self-management. A conceptual framework to summarise the design of eHealth interventions delivered using the Internet is proposed. The framework provides a guide for systematic research to identify the effects of specific design features on intervention outcomes and to identify the mechanisms underlying any effects. To optimise the design of eHealth interventions more work is needed to understand how and why these design features may affect intervention outcomes, and to investigate the optimal implementation and dosage of each design feature. IntroductionThe term 'eHealth' describes a range of information and communication technologies which are used to provide healthcare

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Tailored Versus Standard Internet-delivered Interventions to Promote Physical Activity in Older Women

Cited by 70 publications

References 24 publications

Web-Site-Based Tailored Advice to Promote Strength and Balance Training: An Experimental Evaluation

Web-Site-Based Tailored Advice to Promote Strength and Balance Training: An Experimental Evaluation

A Review of eHealth Interventions for Physical Activity and Dietary Behavior Change

What Design Features Are Used in Effective e-Health Interventions? A Review Using Techniques from Critical Interpretive Synthesis

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