Dataset Information

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

ABSTRACT: Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake.The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake.This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline.Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05).Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

SUBMITTER: Ambeba EJ

PROVIDER: S-EPMC5027143 | biostudies-literature | 2015 Jan-Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

Ambeba Erica J EJ Ye Lei L Sereika Susan M SM Styn Mindi A MA Acharya Sushama D SD Sevick Mary Ann MA Ewing Linda J LJ Conroy Molly B MB Glanz Karen K Zheng Yaguang Y Goode Rachel W RW Mattos Meghan M Burke Lora E LE

The Journal of cardiovascular nursing 20150101 1

<h4>Background</h4>Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake.<h4>Objective</h4>The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake.<h4>Methods</h4>This was a secondary analysis of the Self- Monitoring And Recording using Technology ( ...[more]

PMID: 24434827

Similar Datasets

Project description:BACKGROUND:Abortions are restricted in Bangladesh, but menstrual regulation is an approved alternative, defined as a procedure of regulating the menstrual cycle when menstruation is absent for a short duration. Use of contraception after menstrual regulation can reduce subsequent unintended pregnancy, but in Bangladesh, the contraceptive method mix is dominated by short-term methods, which have higher discontinuation and failure rates. Mobile phones are a channel via which menstrual regulation clients could be offered contraceptive support after leaving the clinic. OBJECTIVE:This study aimed to support the development of a mobile phone intervention to support postmenstrual regulation family planning use in Bangladesh. It explored what family planning information women want to receive after having a menstrual regulation procedure, whether they would like to receive this information via their mobile phone, and if so, what their preferences are for the way in which it is delivered. METHODS:We conducted participatory interviews with 24 menstrual regulation clients in Dhaka and Sylhet divisions in Bangladesh. Women were recruited from facilities in urban and peri-urban areas, which included public sector clinics supported by Ipas, an international nongovernmental organization (NGO), and NGO clinics run by Marie Stopes. Main themes covered in the interviews were factors affecting the use of contraception, what information and support women want after their menstrual regulation procedure, how respondents would prefer to receive information about contraception, and other key issues for mobile health (mHealth) interventions, such as language and privacy. As part of the in-depth interviews, women were shown and played 6 different messages about contraception on the research assistant's phone, which they were given to operate, and were then asked to give feedback. RESULTS:Women were open to both receiving messages about family planning methods on their mobile phones and talking to a counselor about family planning methods over the phone after their menstrual regulation. Women most commonly wanted information about the contraceptive method they were currently using and wanted this information to be tailored to their particular needs. Women preferred voice messages to text and liked the interactive voice message format. When asked to repeat and identify the main points of the messages, women demonstrated good understanding of the content. Women did not seem too concerned with privacy or with others reading the messages and welcomed including their husbands in speaking to a counselor. CONCLUSIONS:This study found that menstrual regulation clients are very interested in receiving information on their phones to support family planning use and wanted more information about the method of contraception they were using. Participatory voicemail was the preferred modality.

Dataset Information

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

Publications

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets