Mobile Digital Health Intervention to Promote Nutrition and Physical Activity Behaviors Among Long-term Unemployed in Rural Areas: Protocol for a Randomized Controlled Trial

Author:

Weishaupt IrisORCID,Mages-Torluoglu JenniferORCID,Kunze ChristopheORCID,Weidmann ChristianORCID,Steinhausen KirstenORCID,Bailer Anja ChristinaORCID

Abstract

Background Long-term unemployed have poor nutritional and physical activity statuses, and, therefore, special health promotion needs. Particularly in rural areas, however, they often do not have access to health promotion service. Thus, new promising strategies to improve the health of long-term unemployed are needed. Hence, a digital health intervention to promote nutritional and physical health behaviors was conceived, and the effectiveness of the intervention in combination with face-to-face sessions will be evaluated in a randomized controlled trial. Objective The aim of this study is to elucidate the effectiveness of a mobile digital health intervention to promote the nutritional and physical activity behaviors of long-term unemployed in the rural areas of Germany. Methods The 9-week intervention aims to promote nutritional or physical activity behavior by improving drinking habits, increasing the consumption of fruits, vegetables, and whole grains, increasing daily step count, strengthening muscles, and improving endurance. The intervention design is based on the transtheoretical model and is implemented in a mobile app using the MobileCoach open-source platform. The effectiveness of the intervention will be elucidated by a 9-week, 2-armed, parallel-designed trial. Therefore, long-term unemployed will be recruited by employees of the German social sector institutions and randomized either to receive information brochures; the digital intervention in the form of a mobile app; and 3 face-to-face sessions regarding technical support, healthy eating, and physical activity (n=100) or to receive a control treatment consisting of solely the hand over of information brochures (n=100). The effectiveness of the intervention will be assessed using questionnaires at baseline, after 9 weeks in face-to-face appointments, and after a 3-month follow-up period by postal contact. The use of the mobile app will be monitored, and qualitative interviews or focus groups with the participants will be conducted. Incentives of €50 (US $49.7) will be paid to the participants and are tied to the completion of the questionnaires and not to the use of the mobile app or progress in the intervention. Results The effectiveness of the intervention in promoting the nutritional and physical activity behaviors of long-term unemployed participants will be elucidated. The adherence of the participants to and the acceptance and usability of the mobile device app will be evaluated. Recruitment started in March 2022, and the final publication of the results is expected in the first half of 2023. Conclusions Positive health-related changes made by the intervention would display the potency of digital health interventions to promote nutritional and physical activity behaviors among long-term unemployed in the rural areas of Germany, which would also contribute to an improved health status of the German population in general. Trial Registration German Clinical Trials Register DRKS00024805; https://www.drks.de/DRKS00024805 International Registered Report Identifier (IRRID) PRR1-10.2196/40321

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference77 articles.

1. Unemployment rate (indicator)Organisation for Economic Co-operation and Development20222022-05-19https://data.oecd.org/unemp/unemployment-rate.htm#indicator-chart

2. Bundesagentur für ArbeitStatistik/ArbeitsmarktberichterstattungMonatsbericht zum Arbeits- und Ausbildungsmarkt: Januar 2020Statistik der Bundesagentur für Arbeit202062022-06-09https://www.arbeitsagentur.de/datei/ba146273.pdf

3. Bundesagentur für ArbeitStatistik/ArbeitsmarktberichterstattungMonatsbericht zum Arbeits- und Ausbildungsmarkt: Januar 2021Statistik der Bundesagentur für Arbeit202112022-06-09https://www.arbeitsagentur.de/datei/arbeitsmarktbericht-januar-2021_ba146850.pdf

4. Bundesagentur für ArbeitStatistik/ArbeitsmarktberichterstattungMonatsbericht zum Arbeits- und Ausbildungsmarkt: Januar 2022Statistik der Bundesagentur für Arbeit202212022-06-09https://www.arbeitsagentur.de/datei/arbeitsmarktbericht-januar-2022_ba147342.pdf

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3