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Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations.
Chew, Han Shi Jocelyn; Lim, Su Lin; Kim, Guowei; Kayambu, Geetha; So, Bok Yan Jimmy; Shabbir, Asim; Gao, Yujia.
  • Chew HSJ; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore.
  • Lim SL; Dietetics Department, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
  • Kim G; Department of Surgery, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
  • Kayambu G; Rehabilitation Department, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
  • So BYJ; Department of Surgery, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
  • Shabbir A; Department of Surgery, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
  • Gao Y; Department of Surgery, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.
Transl Behav Med ; 13(3): 140-148, 2023 04 03.
Article in English | MEDLINE | ID: covidwho-2239768
ABSTRACT
Smartphone weight loss apps are constantly being developed but the essential elements needed by a multi-ethnic population with overweight and obesity remains unclear.

Purpose:

To explore the perceptions of an Asian multi-ethnic population with overweight and obesity on the essential elements of weight loss apps. Twenty two participants were purposively sampled from a specialist weight management clinic in Singapore from 13 April to 30 April 2021. Recorded interviews were conducted using face-to-face and videoconferencing modalities. Data saturation was reached at the 18th participant. Data analysis was performed using inductive content analysis with constant comparison between and within transcripts.

Findings:

Three themes and eight subthemes on the essential app components emerged-(a) comprehensive and flexible calorie counters; (b) holistic, gradual and individualized behavior change recommendations tailored for people with overweight and obesity, and (c) just-in-time reminders of future consequences. There was a need to incorporate flexible options for food logging; break down general recommendations into small steps towards sustainable changes; tailor app contents for people with overweight and obesity; and evoke one's considerations of future consequences. Future weight loss apps should be designed to meet the needs of those with overweight and obesity, the very population that needs assistance with weight loss. Future apps could consider leveraging the capacity of artificial intelligence to provide personalized weight management in terms of sustaining self-regulation behaviors, optimizing goal-setting and providing personalized and timely recommendations for weight loss.
Weight loss smartphone apps are ubiquitous but the essential elements needed and preferred by people with overweight and obesity remains unclear. Therefore, we conducted a qualitative study to explore the perceptions and needs of this population in a weight loss app to prolong app engagement and enhance weight loss success. 22 participants were interviewed through face-to-face or videoconferencing sessions during the peak of the COVID-19 pandemic. Interview transcripts were analyzed within and between participants to develop codes, subthemes and themes that represent the participants' perceptions and needs in weight loss apps. Participants expressed the need for (a) comprehensive and flexible calorie counters; (b) holistic, gradual, and individualized behavior change recommendations tailored for people with overweight and obesity; and (c) just-in-time reminders of future consequences. Our findings showed a need to incorporate flexible options for food logging; break down general recommendations into small steps towards sustainable changes; tailor app contents for people with overweight and obesity; and evoke one's considerations of future consequences. Future apps could consider leveraging the capacity of artificial intelligence to provide personalized weight management in terms of sustaining self-regulation behaviors, optimizing goal-setting and providing personalized and timely recommendations for weight loss.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Overweight / Mobile Applications Type of study: Qualitative research Limits: Humans Language: English Journal: Transl Behav Med Year: 2023 Document Type: Article Affiliation country: Tbm

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Overweight / Mobile Applications Type of study: Qualitative research Limits: Humans Language: English Journal: Transl Behav Med Year: 2023 Document Type: Article Affiliation country: Tbm