• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

针对高体重指数多民族人群的减肥应用程序的基本要素:一项带有实用建议的定性研究

Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations.

作者信息

Chew Han Shi Jocelyn, Lim Su Lin, Kim Guowei, Kayambu Geetha, So Bok Yan Jimmy, Shabbir Asim, Gao Yujia

机构信息

Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore.

Dietetics Department, National University Hospital, 5 Lower Kent Ridge Road Singapore 119074, Singapore.

出版信息

Transl Behav Med. 2023 Apr 3;13(3):140-148. doi: 10.1093/tbm/ibac090.

DOI:10.1093/tbm/ibac090
PMID:36689306
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.

摘要

智能手机减肥应用程序不断涌现,但超重和肥胖的多民族人群所需的基本要素仍不明确。目的:探讨超重和肥胖的亚洲多民族人群对减肥应用程序基本要素的看法。2021年4月13日至4月30日,从新加坡一家专业体重管理诊所中有意抽取了22名参与者。采用面对面和视频会议方式进行访谈记录。第18名参与者时达到了数据饱和。使用归纳式内容分析法进行数据分析,并在不同记录之间和记录内部进行持续比较。结果:出现了关于应用程序基本组成部分的三个主题和八个子主题——(a)全面且灵活的卡路里计数器;(b)为超重和肥胖人群量身定制的全面、渐进且个性化的行为改变建议;(c)及时提醒未来后果。需要纳入灵活的食物记录选项;将一般建议分解为实现可持续改变的小步骤;为超重和肥胖人群量身定制应用程序内容;并唤起人们对未来后果的思考。未来的减肥应用程序应设计成满足超重和肥胖人群的需求,这正是需要减肥帮助的人群。未来的应用程序可以考虑利用人工智能的能力,在维持自我调节行为、优化目标设定以及提供个性化和及时的减肥建议方面提供个性化的体重管理。

相似文献

1
Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations.针对高体重指数多民族人群的减肥应用程序的基本要素:一项带有实用建议的定性研究
Transl Behav Med. 2023 Apr 3;13(3):140-148. doi: 10.1093/tbm/ibac090.
2
Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation.人工智能辅助应用程序改善饮食行为的有效性:混合方法评估。
J Med Internet Res. 2024 May 7;26:e46036. doi: 10.2196/46036.
3
mHealth Apps Targeting Obesity and Overweight in Young People: App Review and Analysis.移动医疗应用程序针对年轻人的肥胖和超重问题:应用程序回顾与分析。
JMIR Mhealth Uhealth. 2023 Jan 19;11:e37716. doi: 10.2196/37716.
4
Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey.沙特阿拉伯的体重管理手机应用程序使用情况:一项基于网络的调查。
JMIR Mhealth Uhealth. 2019 Feb 22;7(2):e12692. doi: 10.2196/12692.
5
The Development of an Arabic Weight-Loss App Akser Waznk: Qualitative Results.一款阿拉伯语减肥应用程序Akser Waznk的开发:定性结果
JMIR Form Res. 2019 Mar 14;3(1):e11785. doi: 10.2196/11785.
6
Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial.使用移动医疗生酮饮食应用程序干预和与超重或肥胖成年人减肥相关的用户行为:一项随机临床试验的二次分析。
JMIR Mhealth Uhealth. 2022 Mar 14;10(3):e33940. doi: 10.2196/33940.
7
Effectiveness of an mHealth Intervention Combining a Smartphone App and Smart Band on Body Composition in an Overweight and Obese Population: Randomized Controlled Trial (EVIDENT 3 Study).基于智能手机应用程序和智能手环的移动医疗干预措施对超重和肥胖人群身体成分的影响:随机对照试验(EVIDENT 3 研究)
JMIR Mhealth Uhealth. 2020 Nov 26;8(11):e21771. doi: 10.2196/21771.
8
Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes.通过智能手机应用程序实现减肥的可持续性:对人体测量学、代谢和饮食结果的系统评价和荟萃分析。
J Med Internet Res. 2022 Sep 21;24(9):e40141. doi: 10.2196/40141.
9
Personal motivation, self-regulation barriers and strategies for weight loss in people with overweight and obesity: a thematic framework analysis.超重和肥胖人群减肥的个人动机、自我调节障碍和策略:主题框架分析。
Public Health Nutr. 2022 Sep;25(9):2426-2435. doi: 10.1017/S136898002200043X. Epub 2022 Feb 22.
10
Health apps targeting children with overweight-a protocol for a systematic review with meta-analysis and Trial Sequential Analysis of randomised clinical trials.针对超重儿童的健康类应用程序-一项系统评价和随机临床试验的荟萃分析和试验序贯分析的方案。
Syst Rev. 2020 Feb 11;9(1):28. doi: 10.1186/s13643-020-1269-0.

引用本文的文献

1
AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review.基于人工智能的无创血糖监测:范围综述。
J Med Internet Res. 2024 Nov 19;26:e58892. doi: 10.2196/58892.
2
Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation.人工智能辅助应用程序改善饮食行为的有效性:混合方法评估。
J Med Internet Res. 2024 May 7;26:e46036. doi: 10.2196/46036.
3
Decoding Heterogeneity in Data-Driven Self-Monitoring Adherence Trajectories in Digital Lifestyle Interventions for Weight Loss: A Qualitative Study.
解读数字生活方式减肥干预中数据驱动的自我监测依从性轨迹的异质性:一项定性研究
Res Sq. 2024 Jan 19:rs.3.rs-3854650. doi: 10.21203/rs.3.rs-3854650/v1.
4
Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis.联合健康指导和自我监测应用程序对超重和肥胖人群体重相关结局的有效性:系统评价和荟萃分析。
J Med Internet Res. 2023 Apr 18;25:e42432. doi: 10.2196/42432.