CD-ROM Nutrient Analysis Database Assists Self-monitoring Behavior of Active Duty Air Force Personnel Receiving Nutrition Counseling for Weight Loss

Heetderks-Cox, Maj Jane E; Alford, Betty B.; Bednar, C.; Heiss, Cynthia J.; Tauai, Lisa A; Edgren, Kimberly K

doi:10.1016/s0002-8223(01)00255-3

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…There were 23 studies which we excluded due to the participant dropout rate being higher than specified in our inclusion criteria (Booth 2008; Brantley 2008; Burnett 1992; Carr 2008; Castelnuovo 2011; Gold 2007; Heetderks-Cox 2001; Jones 1997; Kerr 2008; McConnon 2007; McDoniel 2010; Micco 2007; Mobley 2006; Pullen 2008; Rothert 2006; Ryan 2010; Sartor 1991; Shay 2009; Turnin 2001; van Wier 2009; Wing 2009; Womble 2004). Studies which we excluded for other reasons were either because none or not all participants were overweight or obese (16 in total: Anderson-Bill 2011; Carr 2009; Cook 2007; De Bourdeaudhuij 2007; Dekkers 2011; Gow 2010; Herrick 2009; Kroeze 2008; Kroeze 2008a; Marcus 2007; Smeets 2007; Southard 2003; Vandelanotte 2005; Vandelanotte 2008; Werkman 2010; Winett 2007) and in one case because the focus was diabetes management (Kalten 2000), and in another because the focus was treatment of binge eating disorder (Carrard 2011).…”

Section: Resultsmentioning

confidence: 99%

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

Wieland

Falzon

Sciamanna

et al. 2012

Cochrane Database of Systematic Reviews

175

220

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Background The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke. Objectives To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Search methods We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews. Selection criteria Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall. Data collection and analysis Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis. Main results We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) −1.5 kg; 95% confidence interval (CI) −2.1 to −0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD −0.7 kg; 95% CI −1.2 to −0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% −0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-rel...

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Section: Resultsmentioning

confidence: 99%

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

Wieland

Falzon

Sciamanna

et al. 2012

Cochrane Database of Systematic Reviews

175

220

View full text Add to dashboard Cite

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“…[21][22][23][24] In moving past traditional methods of self-monitoring such as paper-and-pen diaries, research has found that technology can simplify the monitoring process. 25 This can include recording one's progress of food intake and physical activity using online journaling, handheld devices such as personal digital assistants (PDAs), and spreadsheets.…”

Section: Self-monitoringmentioning

confidence: 99%

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

Khaylis

Yiaslas

Bergström

et al. 2010

Telemedicine and e-Health

219

200

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Objective: Obesity is highly prevalent among American adults and has negative health and psychosocial consequences. The purpose of this article was to qualitatively review studies that used technologybased interventions for weight loss and to identify specific components of these interventions that are effective in facilitating weight loss. Materials and Methods: We conducted a narrow, qualitative review, focusing on articles published in the last 10 years that used an experimental or pre/posttest design and used a technology-based intervention for weight loss. Results: Among the 21 studies reviewed, we identified the following five components that we consider to be crucial in technology-based weight-loss interventions that are successful in facilitating weight loss: self monitoring, counselor feedback and communication, social support, use of a structured program, and use of an individually tailored program. Conclusions: Short-term results of technologically driven weight-loss interventions using these components have been promising, but long-term results have been mixed. Although more longitudinal studies are needed for interventions implementing these five components, the interface of technology and behavior change is an effective foundation of a successful, short-term weight-loss program and may prove to be the basis of long-term weight loss.

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“…Most of these studies are from the United States. They include nutrition education (13, 14), modification of food services (15), nutrition labeling to facilitate informed food choices (16), and behavioral change through multiple component programs, with focus on a supportive environment for weight loss (17–19). However, the recruitment to military service in the United States is different to the recruitment in many European countries, making the results less comparable.…”

mentioning

confidence: 99%

A nutrition intervention with a main focus on vegetables and bread consumption among young men in the Norwegian National Guard

Uglem¹,

Stea

Kjøllesdal³

et al. 2013

Food & Nutrition Research

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BackgroundYoung men are difficult to reach with conventional nutrition information and they have a low intake of vegetables and whole grain cereals. Few intervention studies have focused on improving young men's consumption of vegetables and whole grains.ObjectiveA 5-month intervention focusing on a combination of increased availability of healthy foods and nutritional information was developed to stimulate the intake of vegetables and semi-whole grain bread among a group of young men in the Norwegian military.SubjectsA total of 376 recruits in the intervention group and 105 recruits in the control group participated in the entire study.ResultsThe average daily increase in consumption of vegetables was 82 g (p<0.001), and semi-whole grain bread 47 g (p<0.001) between baseline and follow-up in the intervention group. No significant changes were observed in the control group. Differences between intervention and control group at follow-up were significant (p<0.001) for vegetables and semi-whole grain bread, when controlling for baseline values, and seasonal variation for vegetables. The recruits in the intervention group received higher scores on the questions concerning nutritional knowledge after the intervention, compared to baseline (p<0.001). There was a significantly higher increase in the intake of vegetables among the recruits who increased the number of correct answers to the knowledge questions (β-value: 0.14, p<0.05) than among the others. There was no significant change in scores of food satisfaction after the intervention.ConclusionThe combination of increased availability of healthy food items and nutrition information was an effective way to increase the intake of vegetables and semi-whole grain bread, without a reduction in food satisfaction, among young men in the military.

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CD-ROM Nutrient Analysis Database Assists Self-monitoring Behavior of Active Duty Air Force Personnel Receiving Nutrition Counseling for Weight Loss

Cited by 6 publications

References 11 publications

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

A nutrition intervention with a main focus on vegetables and bread consumption among young men in the Norwegian National Guard

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