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Workout Logging Through an mHealth App for Weight Reduction Among Different Generations: Secondary Analysis of the MED PSU×ThaiSook Healthier Challenge.

作者信息

Sae-Lee Kittiya, Surangsrirat Decho, Parlawong Chanatip, Anawilkul T-Touch, Assawachamrun Narinuch, Boonbandan Pawanya, Ladapongpuwat Paweerata, Chupetch Bhawat, Thongchai Supatcha, Pruphetkaew Nannapat, Thongseiratch Therdpong, Vichitkunakorn Polathep, Ngamchaliew Pitchayanont

机构信息

Faculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.

Assistive Technology and Medical Devices Research Center, National Science and Technology Development Agency, Bangkok, Thailand.

出版信息

JMIR Form Res. 2023 Jun 30;7:e45298. doi: 10.2196/45298.


DOI:10.2196/45298
PMID:37389918
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10365584/
Abstract

BACKGROUND: Being overweight or obese presents a major risk factor for noncommunicable diseases (NCDs) such as cardiovascular disease, diabetes, and musculoskeletal disorders. These problems are preventable and solvable via weight reduction and increased physical activity and exercise. The number of adults who are overweight or affected by obesity has tripled in the last 4 decades. Using mobile health (mHealth) apps can help users with health issues, including reducing their weight by restricting their daily calorie intake, which can be recorded along with other parameters, such as physical activity and exercise. These features could further enhance health and prevent NCDs. ThaiSook, a Thai mHealth app developed by the National Science and Technology Development Agency, aims to promote healthy lifestyles and reduce the risk behaviors of NCDs. OBJECTIVE: This study aimed to determine whether ThaiSook users were successful in 1-month weight reduction and identify which demographic factors or logging functions were associated with significant weight reduction. METHODS: A secondary data analysis was performed using data collected from the "MED PSU×ThaiSook Healthier Challenge," a month-long challenge to encourage a healthy lifestyle. We enrolled 376 participants to evaluate the study outcomes. The variables, comprising demographic characteristics (ie, sex, generation, group size, and BMI), were classified into 4 groups: normal (18.5-22.9 kg/m), overweight (23-24.9 kg/m), obese I (25-29.9 kg/m), and obese II (BMI ≥30 kg/m). Logging functions (ie, water, fruit and vegetables, sleep, workout, step, and run) were classified into 2 groups: consistent (≥80%) and inconsistent (<80%) users. Weight reduction was categorized into 3 groups: no weight reduction, slight weight reduction (0%-3%), and significant weight reduction (>3%). RESULTS: Of 376 participants, most were female (n=346, 92%), had normal BMI (n=178, 47.3%), belonged to Generation Y (n=147, 46.7%), and had a medium group size (6-10 members; n=250, 66.5%). The results showed that 56 (14.9%) participants had 1-month significant weight loss, and the median weight reduction of the group was -3.85% (IQR -3.40% to -4.50%). Most participants (264/376, 70.2%) experienced weight loss, with an overall median weight loss of -1.08% (IQR -2.40% to 0.00%). The factors associated with significant weight reduction were consistently logging workouts (adjusted odds ratio [AOR] 1.69, 95% CI 1.07-2.68), being Generation Z (AOR 3.06, 95% CI 1.01-9.33), and being overweight or being obese compared to those with normal BMI (AOR 2.66, 95% CI 1.41-5.07; AOR 1.76, 95% CI 1.08-2.87, respectively). CONCLUSIONS: More than half of the "MED PSU×ThaiSook Healthier Challenge" participants achieved a slight weight reduction, and 14.9% (56/376) of users lost significant weight. Factors including workout logging, being Generation Z, being overweight, and being obese were associated with significant weight reduction.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/70e50a74e50d/formative_v7i1e45298_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/a863e7a51e73/formative_v7i1e45298_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/e63fe52618bc/formative_v7i1e45298_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/70e50a74e50d/formative_v7i1e45298_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/a863e7a51e73/formative_v7i1e45298_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/e63fe52618bc/formative_v7i1e45298_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b25/10365584/70e50a74e50d/formative_v7i1e45298_fig3.jpg

相似文献

[1]
Workout Logging Through an mHealth App for Weight Reduction Among Different Generations: Secondary Analysis of the MED PSU×ThaiSook Healthier Challenge.

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[2]
Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study.

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[3]
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[5]
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[7]
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[9]
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[10]
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引用本文的文献

[1]
Public perceptions and engagement in mHealth: a European survey on attitudes toward health apps use and data sharing.

Eur J Public Health. 2025-6-1

本文引用的文献

[1]
Mobile health application for Thai women: investigation and model.

BMC Med Inform Decis Mak. 2022-7-30

[2]
The Association Between Smartphone App-Based Self-monitoring of Hypertension-Related Behaviors and Reductions in High Blood Pressure: Systematic Review and Meta-analysis.

JMIR Mhealth Uhealth. 2022-7-12

[3]
mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis.

J Med Internet Res. 2022-6-8

[4]
Health Habits and Wearable Activity Tracker Devices: Analytical Cross-Sectional Study.

Sensors (Basel). 2022-4-12

[5]
Do young men and women differ in well-being apps usage? Findings from a randomised trial.

Health Informatics J. 2022

[6]
Health technology tools used to increase physical activity and improve cardiovascular parameters in older adults: A review.

Enferm Clin (Engl Ed). 2022

[7]
Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2022-1-21

[8]
The effectiveness of a monetary reimbursement model for weight reduction via a smartphone application: a preliminary retrospective study.

Sci Rep. 2020-9-24

[9]
Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice.

Front Endocrinol (Lausanne). 2020

[10]
Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2020-8-4

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