Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey

Abstract Background About 40% of people respond to stress by consuming more unhealthy foods. This behavior is associated with increased energy intake and the risk of obesity. As mobile health (mHealth) applications (apps) have been shown to be an easy-to-use intervention tool, the characterization o...

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Main Authors: Martin Lurz (Author), Kathrin Gemesi (Author), Sophie Laura Holzmann (Author), Birgit Kretzschmar (Author), Monika Wintergerst (Author), Georg Groh (Author), Markus Böhm (Author), Kurt Gedrich (Author), Hans Hauner (Author), Helmut Krcmar (Author), Christina Holzapfel (Author)
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Published: BMC, 2024-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Martin Lurz  |e author 
700 1 0 |a Kathrin Gemesi  |e author 
700 1 0 |a Sophie Laura Holzmann  |e author 
700 1 0 |a Birgit Kretzschmar  |e author 
700 1 0 |a Monika Wintergerst  |e author 
700 1 0 |a Georg Groh  |e author 
700 1 0 |a Markus Böhm  |e author 
700 1 0 |a Kurt Gedrich  |e author 
700 1 0 |a Hans Hauner  |e author 
700 1 0 |a Helmut Krcmar  |e author 
700 1 0 |a Christina Holzapfel  |e author 
245 0 0 |a Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey 
260 |b BMC,   |c 2024-04-01T00:00:00Z. 
500 |a 10.1186/s12889-024-18383-3 
500 |a 1471-2458 
520 |a Abstract Background About 40% of people respond to stress by consuming more unhealthy foods. This behavior is associated with increased energy intake and the risk of obesity. As mobile health (mHealth) applications (apps) have been shown to be an easy-to-use intervention tool, the characterization of potential app users is necessary to develop target group-specific apps and to increase adherence rates. Methods This cross-sectional online survey was conducted in the spring of 2021 in Germany. Sociodemographic data and data on personality (Big Five Inventory, BFI-10), stress-eating (Salzburg Stress Eating Scale, SSES), and technology behavior (Personal Innovativeness in the Domain of Information Technology, PIIT; Technology Acceptance Model 3, TAM 3) were collected. Results The analysis included 1228 participants (80.6% female, mean age: 31.4 ± 12.8 years, mean body mass index (BMI): 23.4 ± 4.3 kg/m2). Based on the TAM score, 33.3% (409/1228) of the participants had a high intention to use a hypothetical mHealth app to avoid stress-overeating. These persons are characterized by a higher BMI (24.02 ± 4.47 kg/m2, p < 0.001), by being stress-overeaters (217/409, 53.1%), by the personality trait "neuroticism" (p < 0.001), by having specific eating reasons (all p < 0.01), and by showing a higher willingness to adopt new technologies (p < 0.001). Conclusion This study suggests that individuals who are prone to stress-overeating are highly interested in adopting an mHealth app as support. Participants with a high intention to use an mHealth app seem to have a general affinity towards new technology (PIIT) and appear to be more insecure with conflicting motives regarding their diet. Trial registration This survey was registered in the German Clinical Trials Register (Registration number: DRKS00023984). 
546 |a EN 
690 |a Nutrition 
690 |a Digital tool 
690 |a Behavioral intention 
690 |a Obesity 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024) 
787 0 |n https://doi.org/10.1186/s12889-024-18383-3 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/cb0e84243cfa44b0bfa4228f7defe9d0  |z Connect to this object online.