My Student Body: Effects of an Internet-Based Prevention Program to Decrease Obesity Among College Students

LaChausse, Robert G.

doi:10.1080/07448481.2011.623333

Cited by 57 publications

(87 citation statements)

References 21 publications

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“…Online stress management interventions aim to manage stress as well as other psychopathological issues [45] such as anxiety [68,69], prevention of obesity [70] and psychological distress [71]. In our literature review, according to a meta-analysis conducted in 2016 [45], only six studies had stress management as their principal goal [46–49,72], and only three of these studies were carried out with university students [45,46,48,49].…”

Section: Introductionmentioning

confidence: 99%

Can we learn to manage stress? A randomized controlled trial carried out on university students

et al. 2018

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In our research, we examined the efficacy of an Internet-based stress management program. Our interest in evaluating this type of intervention is based on the increasing accessibility of the Internet today, the growth of Internet-based interventions for various psychopathological problems, and the observation that despite the prevalence of stress among university students, only a fraction of students ever seek professional help. Methodology: “I’m managing my stress” (“Je gère mon stresse”), an Internet-based self-help program composed of four sessions, was examined in this study. The aforementioned program is based on cognitive-behavioral therapy and was inspired by the “Funambule” program in Quebec. Four questionnaires (Perceived Stress Scale, Rosenberg Self-Esteem Scale, Scale of Satisfaction in Studies, and General Health Questionnaire) uploaded online were answered thrice: during “preintervention”, “postintervention”, and “follow-up” stages, the latter of which occurred three months after the intervention. The sample comprised 128 university students, with the majority being women (81.25%). The subjects were divided randomly into two groups (an experimental group and a control group that did not follow the program). Results: The self-esteem scores of the control group were significantly higher than those of the experimental group at the preintervention stage, but this difference disappeared at the postintervention and follow-up stages. There were also significantly lower scores on the General Health Questionnaire subfactors of somatic symptoms and anxiety/insomnia in the experimental group than in the control group during the postintervention stage, though no differences were observed before the intervention. These differences no longer remained after three months. ANOVA revealed significant effects of the intervention over time in the experimental group. Effects were observed at both the postintervention and follow-up stages for self-esteem, perceived stress, satisfaction in studies, and in the somatic symptoms, anxiety and insomnia and severe depression aspects of the General Health Questionnaire (Cohen’s d = 0.38 to 4.58). In contrast, no effects were observed in the control group. Conclusion: This type of Internet-based program has the ability to reach a large number of students due to its rather short format and accessibility. It has already shown improvements in terms of the levels of perceived stress, psychological distress and satisfaction with studies. The option of online interventions could appeal specifically to students who do not seek professional help. However, even though these results are promising at the postintervention stage, they are limited, as indicated by the lack of significant differences between the two groups after the initial three months of follow-up. We still, specifically, need to improve this intervention program and, generally, need more research to address the methodological problems raised by this type of intervention.Trial registration: ISRCTN registry, ISRCTN13709272

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Section: Introductionmentioning

confidence: 99%

Can we learn to manage stress? A randomized controlled trial carried out on university students

et al. 2018

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“…Based on the inform a tion avail able, 10 studies were considered to have low risk of bias (Chen et al , 2010(Chen et al , , 2011Gow et al , 2010;Kennedy et al , 2009;Kim et al , 2010;LaChausse, 2012;Luszczynska and Haynes, 2009;Østbye et al , 2012;Rosenkranz et al , 2010;Zask et al , 2012), nine had moder ate risk (Bayer et al , 2009;De Bock et al , 2012;Gentile et al , 2009;Gephart and Loman, 2013;Haire-Joshu et al , 2008;Hoffman et al , 2011;NeumarkSztainer et al , 2009;Siegel et al , 2010;van Wier et al , 2009), and six had high risk (Branscum et al , 2013;Foster et al , 2008;French et al , 2010;Spiegel and Foulk, 2006;Taylor et al , 2007;Warren et al , 2003). Nine studies repor ted random iz a tion by a computer, random number tables, or permuted blocks.…”

Section: Risk Of Biasmentioning

confidence: 99%

“…Nineteen of 25 studies repor ted posit ive effects on increas ing fruit and/or veget able consump tion (Bayer et al , 2009;Branscum et al , 2013;Chen et al , 2010Chen et al , , 2011De Bock et al , 2012;French et al , 2010;Gentile et al , 2009;Gephart and Loman, 2013;Haire-Joshu et al , 2008;Hoffman et al , 2011;Kennedy et al , 2009;Kim et al , 2010;LaChausse, 2012;Luszczynska and Haynes, 2009;Østbye et al , 2012;Spiegel and Foulk, 2006;Taylor et al , 2007;Warren et al , 2003;Zask et al , 2012), while five revealed no FV effects (Gow et al , 2010;Neumark-Sztainer et al , 2009;Rosenkranz et al , 2010;Siegel et al , 2010;van Wier et al , 2009). One study detected decreased FV consump tion (Foster et al , 2008).…”

Section: Effects On Fv Consump Tionmentioning

confidence: 99%

“…Of the 17 chil dren or adoles cent inter ven tions, 70.6% ( n = 12) repor ted posit ive effects on FV consump tion in chil dren (Bayer et al , 2009;Branscum et al , 2013;Chen et al , 2010;De Bock et al , 2012;Gentile et al , 2009;Gephart and Loman, 2013;Hoffman et al , 2011;Spiegel and Foulk, 2006;Taylor et al , 2007;Warren et al , 2003;Zask et al , 2012). Of the 14 inter ven tions with adults, 57.1% ( n = 8) repor ted posit ive effects in adults (French et al , 2010;Gentile et al , 2009;Haire-Joshu et al , 2008;Kennedy et al , 2009;Kim et al , 2010;LaChausse, 2012;Luszczynska and Haynes, 2009;Østbye et al , 2012).…”

Section: Effects On Fv Consump Tionmentioning

confidence: 99%

“…Nine studies had effects on both FV consump tion and weight outcomes (Chen et al , 2010(Chen et al , , 2011Gephart and Loman, 2013;Kennedy et al , 2009;Kim et al , 2010;Luszczynska and Haynes, 2009;Spiegel and Foulk, 2006;Taylor et al , 2007;Zask et al , 2012); another ten studies repor ted effects on FV consump tion, but not on weight outcomes (Bayer et al , 2009;Branscum et al , 2013;De Bock et al , 2012;French et al , 2010;Gentile et al , 2009;Haire-Joshu et al , 2008;Hoffman et al , 2011;LaChausse, 2012;Østbye et al , 2012;Warren et al , 2003); and four repor ted effects on weight outcomes, but not FV consump tion (Foster et al , 2008;Gow et al , 2010;Siegel et al , 2010;van Wier et al , 2009). Because none of the studies that repor ted changes in FV and weight used medi at ing vari able analysis (Fairchild and MacKinnon, 2009) or controlled for other confounders to determ ine the overall effect of FV on weight, there are no clear, causal conclu sions that can be made about the rela tion ship between FV and weight manage ment.…”

Section: Interaction Between Fv Consump Tion and Weight Outcomesmentioning

confidence: 99%

See 2 more Smart Citations

The impact of fruit and vegetable intake on weight management

Diep

Baranowski

2015

Managing and Preventing Obesity

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Interventions for preventing obesity in children

Brown

Moore

Hooper

et al. 2019

Cochrane Database of Systematic Reviews

1,231

659

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Background Obesity prevention is an international public health priority. The prevalence of obesity and overweight is increasing in child populations throughout the world, impacting on short and long-term health. Obesity prevention strategies for children can change behaviour but efficacy in terms of preventing obesity remains poorly understood. Objectives To assess the effectiveness of interventions designed to prevent obesity in childhood through diet, physical activity and/or lifestyle and social support. Search strategy MEDLINE, PsycINFO, EMBASE, CINAHL and CENTRAL were searched from 1990 to February 2005. Non-English language papers were included and experts contacted. Selection criteria Randomised controlled trials and controlled clinical trials with minimum duration twelve weeks. Data collection and analysis Two reviewers independently extracted data and assessed study quality. Main results Twenty-two studies were included; ten long-term (at least 12 months) and twelve short-term (12 weeks to 12 months). Nineteen were school/preschool-based interventions, one was a community-based intervention targeting low-income families, and two were familybased interventions targeting non-obese children of obese or overweight parents. Six of the ten long-term studies combined dietary education and physical activity interventions; five resulted in no difference in overweight status between groups and one resulted in improvements for girls receiving the intervention, but not boys. Two studies Interventions for preventing obesity in children (Review)

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My Student Body: Effects of an Internet-Based Prevention Program to Decrease Obesity Among College Students

Abstract: The MSB-Nutrition program was effective in changing students' nutrition behaviors but had no effect on physical activity behaviors or weight loss. Suggestions for improving Internet-based interventions aimed at decreasing obesity rates among college students are offered.

Cited by 57 publications

References 21 publications

Can we learn to manage stress? A randomized controlled trial carried out on university students

Can we learn to manage stress? A randomized controlled trial carried out on university students

The impact of fruit and vegetable intake on weight management

Interventions for preventing obesity in children

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