Motivation, self-efficacy, physical activity and nutrition in college students: Randomized controlled trial of an internet-based education program

Franko, Debra L.; Cousineau, Tara M.; Trant, Meredith; Green, Traci Craig; Rancourt, Diana; Thompson, Douglas; Ainscough, Jessica; Mintz, Laurie B.; Ciccazzo, Michelle

doi:10.1016/j.ypmed.2008.06.013

Cited by 130 publications

(174 citation statements)

References 62 publications

(61 reference statements)

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“…However, in a prospective study, Kellar & Abraham 28 , found a β of 0.31, indicating a strong predictor. This evidence was confirmed in college students by Franko et al 29 .…”

Section: Discussionsupporting

confidence: 61%

Psychosocial factors and physical activity as predictors of fruit and vegetable intake in college students

et al. 2016

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Article based on the doctoral dissertation of R TASSITANO entitled "Impacto de uma intervenção para o aumento da atividade física e consumo de A B S T R A C T ObjectiveTo analyze whether psychosocial factors and physical activity are predictors of fruit and vegetable intake in young adults attending college. MethodsThis cross-sectional study included a representative sample of students from a public university in the Brazilian Northeast (n=717). Fruit and vegetable intake was measured by a Food Frequency Questionnaire containing 21 items. The psychosocial factors for behavior change, measured by a questionnaire, were: behavior change strategy, self-efficacy, perceived barriers and facilitators in decision making, and social support. The level ofRev. Nutr., Campinas, 29(2):173-183, mar./abr., 2016 Revista de Nutrição http://dx.doi.org/10.1590/1678-98652016000200003 physical activity was measured by the International Physical Activity Questionnaire. Multiple linear regression was the intake prediction model using a significance level of 5% (p<0.05). ResultsThe median fruit and vegetable intake was 2.0 servings/day. In adjusted analysis, behavior change strategy (R²=0.31), self-efficacy (R²=0.03), friends' support (R²=0.02), and physical activity (R²=0.03) explained 39% of the fruit and vegetable intake variance in men. Behavior change strategy (R²=0.03), self-efficacy (R²=0.13), perceived barriers (R²=0.08), and physical activity (R²=0.02) explained 26% of the fruit and vegetable intake variance in women. Fruit and vegetable intake would increase by one serving for every extra 35 and 47 minutes of physical activity men and women, respectively, practice a day. ConclusionThe main predictors of fruit and vegetable intake are behavior change strategies, self-efficacy, and physical activity.Keywords: Food consumption. Motor activity. Students. R E S U M O Objetivo Analisar os fatores psicossociais e a atividade física como preditores no consumo de frutas, legumes e verduras em adultos jovens, estudantes universitários. Métodos Estudo transversal com uma amostra representativa de estudantes de uma universidade pública do Nordeste (n=717). O consumo de frutas, legumes e verduras foi medido por um Questionário de Frequência

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“…However, in a prospective study, Kellar & Abraham 28 , found a β of 0.31, indicating a strong predictor. This evidence was confirmed in college students by Franko et al 29 .…”

Section: Discussionsupporting

confidence: 61%

Psychosocial factors and physical activity as predictors of fruit and vegetable intake in college students

et al. 2016

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“…They therefore hinted that accommodation and means of transportation are key determinants that influence their work performance at the hospital. Studies, confirmed that accommodation and means of transportation are retention factors of health workers in rural and other specialized hospitals [50,51]. Moreover, Lopes [45] noted that most healthcare workers are willing to go and work in deprived communities and urban centers if they are assured of decent accommodations.…”

Section: Accommodation and Transportationmentioning

confidence: 94%

The Impact of Motivation on the Work Performance of Health Workers (Korle Bu Teaching Hospital): Evidence from Ghana

2016

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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%

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

257

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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Motivation, self-efficacy, physical activity and nutrition in college students: Randomized controlled trial of an internet-based education program

Abstract: MyStudentBody.com-Nutrition is an effective internet-based program that may have wide applicability on college campuses for nutrition education and promoting change in health behaviors.

Cited by 130 publications

References 62 publications

Psychosocial factors and physical activity as predictors of fruit and vegetable intake in college students

Psychosocial factors and physical activity as predictors of fruit and vegetable intake in college students

The Impact of Motivation on the Work Performance of Health Workers (Korle Bu Teaching Hospital): Evidence from Ghana

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

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