Evaluation of a Pda-Based Dietary Assessment and Intervention Program: A Randomized Controlled Trial

Beasley, Jeannette M.; Riley, William T.; Singh, Jeffrey M.; Davis, Alison; Behar, Alma I.

doi:10.1093/aje/163.suppl_11.s38-b

Cited by 25 publications

(33 citation statements)

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“…Participants in the PDA and PDA+FB arms were provided with Palm Tungsten E2 ™ PDAs that was installed with self-monitoring software that tracked energy and fat consumption, displayed current intake related to daily goals, and provided easily accessed nutrition information (Dietmate Pro©) (5, 6) and CalculFit©, PICS, Reston, VA).…”

Section: Methodsmentioning

confidence: 99%

Physical Activity Self-Monitoring and Weight Loss

Conroy

Yang

Elci

et al. 2011

Medicine &Amp; Science in Sports &Amp; Exercise

104

126

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Introduction Weight loss has been associated with higher physical activity (PA) levels and frequent dietary self-monitoring. Less is known about how PA self-monitoring affects adherence to PA goals, PA levels and weight change. Methods The SMART Trial is a clinical weight loss trial in which 210 overweight adults were randomized equally to one of three arms: 1) paper record (PR); 2) personal digital assistant with self-monitoring software (PDA); and 3) PDA with daily tailored feedback message (PDA+FB). PA self-monitoring and adherence to PA goals were based on entries in weekly submitted diaries. PA levels were measured via self-report by the past 6 month Modifiable Activity Questionnaire at baseline and 6 months. Results Data are presented on 189 participants with complete 6-month PA data [84% female, 77% White, mean age: 47.3 ± 8.8 years, mean BMI: 34.1 ± 4.5 kg/m2]. Median PA level was 7.96 MET-hr-wk−1 at baseline and 13.4 MET-hr-wk−1 at 6 months, with significant PA increases in all three arms. PDA+FB arm had a higher mean number of weekly self-monitoring entries than the PR arm (3.4 vs. 2.4; p=0.003) and were more likely to maintain high (i.e., 100%) adherence to PA goals over time than the PDA (p=0.02) or PR arms (p=0.0003). Both PA self-monitoring and adherence to PA goals were related to higher PA levels at 6 months. A higher mean rate of PA self-monitoring was associated with a greater percentage of weight decrease (rho=−0.49; p<0.0001) at 6 months. Conclusions PA self-monitoring and adherence to PA goals were more likely in participants in the PDA+FB arm and in turn predicted higher PA levels and weight loss.

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Section: Methodsmentioning

confidence: 99%

Physical Activity Self-Monitoring and Weight Loss

Conroy

Yang

Elci

et al. 2011

Medicine &Amp; Science in Sports &Amp; Exercise

104

126

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“…Eight different data-based applications were tested in 14 studies (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25). With these applications, users generally searched or scrolled through menus to locate the food they ate from a larger database (e.g., the United States Department of Agriculture [USDA] National Nutrient Database for Standard Reference) (26), and then entered the portion size.…”

Section: Applicationsmentioning

confidence: 99%

“…A second trial by Beasley et al (13) was the only one in which participants were randomized to either paper or PDA food diaries and compared nutrient intake results with those obtained with a 24-hour recall interview (which occurred at the end of the recording week). Study participants were overweight/ obese and participating in a behavioural weight loss intervention.…”

Section: Data-based Applicationsmentioning

confidence: 99%

Dietary Assessment and Self-monitoring: With Nutrition Applications for Mobile Devices

Lieffers

2012

Canadian Journal of Dietetic Practice and Research

103

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Nutrition applications for mobile devices (e.g., personal digital assistants, smartphones) are becoming increasingly accessible and can assist with the difficult task of intake recording for dietary assessment and self-monitoring. This review is a compilation and discussion of research on this tool for dietary intake documentation in healthy populations and those trying to lose weight. The purpose is to compare this tool with conventional methods (e.g., 24-hour recall interviews, paper-based food records). Research databases were searched from January 2000 to April 2011, with the following criteria: healthy or weight loss populations, use of a mobile device nutrition application, and inclusion of at least one of three measures, which were the ability to capture dietary intake in comparison with conventional methods, dietary self-monitoring adherence, and changes in anthropometrics and/or dietary intake. Eighteen studies are discussed. Two application categories were identified: those with which users select food and portion size from databases and those with which users photograph their food. Overall, positive feedback was reported with applications. Both application types had moderate to good correlations for assessing energy and nutrient intakes in comparison with conventional methods. For self-monitoring, applications versus conventional techniques (often paper records) frequently resulted in better self-monitoring adherence, and changes in dietary intake and/or anthropometrics. Nutrition applications for mobile devices have an exciting potential for use in dietetic practice.

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“…PDAs were uploaded at each treatment session and the diary content printed to replicate the paper record for the interventionists’ review and to assess completion of the diary. The software in the PDA (Dietmate Pro©[36,37] and CalculFit©, PICS, Reston, VA) date- and time-stamped each entry in the PDA, permitting us to examine adherence to self-monitoring as well as temporal patterns of adherence to self-monitoring over the course of the 24-month study.…”

Section: Methodsmentioning

confidence: 99%

SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings

Burke

Styn

Glanz

et al. 2009

Contemporary Clinical Trials

112

129

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Background-The primary form of treatment for obesity today is behavioral therapy. Selfmonitoring diet and physical activity plays an important role in interventions targeting behavior and weight change. The SMART weight loss trial examined the impact of replacing the standard paper record used for self-monitoring with a personal digital assistant (PDA). This paper describes the design, methods, intervention, and baseline sample characteristics of the SMART trial.Methods-The SMART trial used a 3-group design to determine the effects of different modes of self-monitoring on short-and long-term weight loss and on adherence to self-monitoring in a 24-month intervention. Participants were randomized to one of three conditions (1) use of a standard paper record (PR); (2) use of a PDA with dietary and physical activity software (PDA); or (3), use of a PDA with the same software plus a customized feedback program (PDA + FB).Results-We screened 704 individuals and randomized 210. There were statistically but not clinically significant differences among the three cohorts in age, education, HDL cholesterol, blood glucose and systolic blood pressure. At 24 months, retention rate for the first of three cohorts was 90%.Conclusions-To the best of our knowledge, the SMART trial is the first large study to compare different methods of self-monitoring in a behavioral weight loss intervention and to compare the use of PDAs to conventional paper records. This study has the potential to reveal significant details about self-monitoring patterns and whether technology can improve adherence to this vital intervention component.

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Evaluation of a Pda-Based Dietary Assessment and Intervention Program: A Randomized Controlled Trial

Cited by 25 publications

References 0 publications

Physical Activity Self-Monitoring and Weight Loss

Physical Activity Self-Monitoring and Weight Loss

Dietary Assessment and Self-monitoring: With Nutrition Applications for Mobile Devices

SMART trial: A randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings

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