Promoting physical activity among young blue-collar workers in the manufacturing industry: The effect and process evaluation of a smartphone application
ISPAH ePoster Library. De Cocker K. Oct 15, 2018; 225043; 472
Dr. Katrien De Cocker
Dr. Katrien De Cocker
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Abstract
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Abstract BackgroundThere is need for physical activity (PA) promotion among blue-collar workers, especially young adults beginning in the industry. Smartphone applications are popular and have great potential for PA promotion, however mHealth PA interventions in young blue-collar workers are missing. Therefore, we report on the effect and process evaluation of a smartphone application ‘Active Coach’.MethodYoung manufacturing laborers (n=57; 58% male; 25.3±3.2 years) participated in a 2-group RCT assessing accelerometer PA at baseline, post-test (baseline+9weeks), and follow-up (post+3months). During the app-intervention (9 weeks), a wearable activity tracker (Fitbit) was used and personal goals, and educational notifications were given to encourage PA. The control group (n=24) only received written non-tailored information on PA. Generalized linear mixed models analyses (effectiveness) and descriptive statistics of individual interviews (process) were used.ResultsNo significant intervention effects were found for accelerometer-based PA (p>0.05). The majority of the intervention group (73.3%-80.8%) found the app user-friendly, clear, interesting, and motivating. However, some intervention participants did not engage with it and ignored or switched off the notifications. In those who engaged, the graphical display of PA (steps/minutes) was indicated as the best feature and there was a lot of interest in the Fitbit. 80% found the personal goals motivating, but only a minority found the notifications motivating (34.8%) and tailored to their lifestyle (17.4%).ConclusionPresent young blue-collar workers evaluated the smartphone application positively. However, this tool did not result in PA increases, due to a lack of highly tailored advice, disinterest, and low continuous user engagement.
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