Internet-based Interventions Have Potential to Affect Short-term Mediators and Indicators of Dietary Behavior of Young Adults

Park, Amanda; Nitzke, Susan; Kritsch, Karen; Kattelmann, Kendra; White, Adrienne A.; Boeckner, Linda S.; Lohse, Barbara; Hoerr, Sharon L.; Greene, Geoffrey; Zhang, Zhumin

doi:10.1016/j.jneb.2008.02.001

Cited by 62 publications

(80 citation statements)

References 36 publications

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“…theoretical, behavioural or demographic) 20,21,28,29,33,35,41  Tailoring based on a large and varied number of constructs (e.g. several theoretical constructs) 18,20,29,30,34,36 Design features associated with less EFFECTIVE interventions  Use of avatars 17  Providing information about other users 24,39  Additional contacts containing usage promotion techniques 29 Design features not associated with intervention INEFFECTIVENESS  "Ask the expert" components  Activity planning  Self-monitoring …”

Section: Discussionmentioning

confidence: 99%

“…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%

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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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Section: Discussionmentioning

confidence: 99%

Section: Phase 1 Diversity Samplingmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…Hence, interventions on changing FV consumption may aim to reduce the importance of negative beliefs arising from behavior change (20). The efficacy of stagetailored nutrition education has been demonstrated in several studies though there were some differences (9,36,37,38). Although some studies have failed to find any significant pros factor for predicting the stages of change (20,39), in the present study, we found that maintaining an ideal weight, being healthy, and inducing a variation in the diet are all among the significant benefits of FV consumption.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Stages of Change in Fruit/Vegetable Consumption based on Trans-Theoretical Model: A Population-based Study

Vakili

Khadem‐Rezaiyan

2016

Nutr Food Sci Res

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A B S T R A C TBackground and Objectives: Low Fruit/Vegetable (FV) diet seems to be a global public health problem. The trans-theoretical stages of change model have long been considered a useful interventional approach in lifestyle modification programs. The aim of this study was to find the most important intermediating factors of FV consumption in Mashhad, Iran. Materials and Methods:In this cross-sectional design, 777 participants were included with a convenient method from the general population in public places all around the Mashhad City, Iran in 2014. A standardized checklist about socio-demographic characteristics and possible related factors and stages of change questionnaire (6 stages: pre-contemplation, contemplation, preparing, action, maintenance, and termination) were used for data collection. Data were analyzed by SPSS 11.5 software using Chi-square test, Mann-Whitney U test, and Multiple Logistic Regression.Results: Totally, 254 (47.7%) and 299 (59.8%) of participants were in pre-action stages of FV, respectively. Smoking (OR=3.2, p=0.02) and believing that this is good for the body (OR=0.12, p=0.001) were predictors of the pre-contemplation stage for fruits. Being physically active (OR=2, p=0.008), low agreement with health benefits of vegetables (OR=8, p<0.001) and low agreement with "vegetables make more diet variability" (OR=4, p<0.005) were predictors of pre-contemplation stage for vegetables. Conclusions:Understanding the pros and cons of changing lifestyle can help public health specialists to perform targeted interventions.

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“…There were numerous combinations of number of days and minutes per day that met the recommendations for physical activity (150 minutes or more per week). The goal options for fruit and vegetable intake was based on prior research with this population (24)(25) and only 3.1 percent of this sample reported an intake of 5 or more cups.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Goal Setting on Fruit and Vegetable Consumption and Physical Activity Level in a Web-Based Intervention

O'Donnell

Greene

Blissmer

2014

Journal of Nutrition Education and Behavior

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Internet-based Interventions Have Potential to Affect Short-term Mediators and Indicators of Dietary Behavior of Young Adults

Cited by 62 publications

References 36 publications

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

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

Predictors of Stages of Change in Fruit/Vegetable Consumption based on Trans-Theoretical Model: A Population-based Study

The Effect of Goal Setting on Fruit and Vegetable Consumption and Physical Activity Level in a Web-Based Intervention

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