{"title":"Effectiveness of Mobile Health Applications for 5% Body Weight Reduction in Obese and Overweight Adults.","authors":"Myeunghee Han, Sang Youl Rhee","doi":"10.7570/jomes21014","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>World Health Organization reports that over 1.9 billion adults are obese. Studies have found that people who reduce their body weight by 5% experience considerable health benefits. Currently, mobile health (mHealth) applications (apps) show effectiveness in body weight reduction. The present study aimed to explore the effectiveness of a popular mHealth app in 5% body weight reduction and to identify factors that affect 5% body weight reduction in obese adults. We investigated the time it took users to achieve 5% body weight reduction according to usage characteristics and factors influencing this period of time.</p><p><strong>Methods: </strong>This study was a secondary data analysis using data from 23,682 commercial mHealth app users. For analysis, logistic regressions, Kaplan-Meier estimators, log-rank tests, and Cox regressions were used.</p><p><strong>Results: </strong>Variables in user characteristics including age (odds ratio [OR], 0.976; <i>P</i><0.001), male (OR, 1.226; <i>P</i><0.001), initial body mass index (OR, 1.009; <i>P</i><0.001), frequency of data entry for body weight (OR, 1.004; <i>P</i><0.001), frequency of exercise (OR, 1.002; <i>P</i><0.001), and dinner intake (OR, 1.004; <i>P</i><0.001) made significant contributions in predicting 5% weight reduction in the study cohort. Users who were obese and who more frequently entered their body weight, exercise, and dietary intake data reduced 5% body weight much sooner than other users. Data entry regarding initial body weight (exponentiation of the B coefficient [Exp(B)], 1.002; <i>P</i><0.001), frequency in body weight entry (Exp(B), 1,001; <i>P</i><0.001), dinner intake (Exp(B), 1.003; <i>P</i><0.001), and evening snack intake (Exp(B), 1.001; <i>P</i><0.001) significantly contributed to predicting the time needed to achieve a 5% body weight reduction in users.</p><p><strong>Conclusion: </strong>For 5% body weight reduction, mHealth apps are promising tools. Users who frequently monitor their health-related behaviors can expect a 5% reduction in body weight in a short period of time.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":"30 4","pages":"354-364"},"PeriodicalIF":4.7000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a6/ee/jomes-30-4-354.PMC8735823.pdf","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Obesity & Metabolic Syndrome","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7570/jomes21014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 6
Abstract
Background: World Health Organization reports that over 1.9 billion adults are obese. Studies have found that people who reduce their body weight by 5% experience considerable health benefits. Currently, mobile health (mHealth) applications (apps) show effectiveness in body weight reduction. The present study aimed to explore the effectiveness of a popular mHealth app in 5% body weight reduction and to identify factors that affect 5% body weight reduction in obese adults. We investigated the time it took users to achieve 5% body weight reduction according to usage characteristics and factors influencing this period of time.
Methods: This study was a secondary data analysis using data from 23,682 commercial mHealth app users. For analysis, logistic regressions, Kaplan-Meier estimators, log-rank tests, and Cox regressions were used.
Results: Variables in user characteristics including age (odds ratio [OR], 0.976; P<0.001), male (OR, 1.226; P<0.001), initial body mass index (OR, 1.009; P<0.001), frequency of data entry for body weight (OR, 1.004; P<0.001), frequency of exercise (OR, 1.002; P<0.001), and dinner intake (OR, 1.004; P<0.001) made significant contributions in predicting 5% weight reduction in the study cohort. Users who were obese and who more frequently entered their body weight, exercise, and dietary intake data reduced 5% body weight much sooner than other users. Data entry regarding initial body weight (exponentiation of the B coefficient [Exp(B)], 1.002; P<0.001), frequency in body weight entry (Exp(B), 1,001; P<0.001), dinner intake (Exp(B), 1.003; P<0.001), and evening snack intake (Exp(B), 1.001; P<0.001) significantly contributed to predicting the time needed to achieve a 5% body weight reduction in users.
Conclusion: For 5% body weight reduction, mHealth apps are promising tools. Users who frequently monitor their health-related behaviors can expect a 5% reduction in body weight in a short period of time.
期刊介绍:
The journal was launched in 1992 and diverse studies on obesity have been published under the title of Journal of Korean Society for the Study of Obesity until 2004. Since 2017, volume 26, the title is now the Journal of Obesity & Metabolic Syndrome (pISSN 2508-6235, eISSN 2508-7576). The journal is published quarterly on March 30th, June 30th, September 30th and December 30th. The official title of the journal is now "Journal of Obesity & Metabolic Syndrome" and the abbreviated title is "J Obes Metab Syndr". Index words from medical subject headings (MeSH) list of Index Medicus are included in each article to facilitate article search. Some or all of the articles of this journal are included in the index of PubMed, PubMed Central, Scopus, Embase, DOAJ, Ebsco, KCI, KoreaMed, KoMCI, Science Central, Crossref Metadata Search, Google Scholar, and Emerging Sources Citation Index (ESCI).