Evidence map›Paper›PMID 37389918›Full record

ArticleJMIR formative research2023

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

Kittiya Sae-Lee, Decho Surangsrirat, Chanatip Parlawong, T-Touch Anawilkul, Narinuch Assawachamrun, Pawanya Boonbandan, Paweerata Ladapongpuwat, Bhawat Chupetch, Supatcha Thongchai, Nannapat Pruphetkaew and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Kittiya Sae-Lee *Faculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0003-1863-1460
Decho Surangsrirat *Assistive Technology and Medical Devices Research Center, National Science and Technology Development Agency, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-1589-250X
Chanatip ParlawongFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-6041-6652
T-Touch AnawilkulFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-3266-4368
Narinuch AssawachamrunFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-2876-0795
Pawanya BoonbandanFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-5978-9849
Paweerata LadapongpuwatFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-2026-3380
Bhawat ChupetchFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-6505-3643
Supatcha ThongchaiFaculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0001-9066-2945
Nannapat PruphetkaewDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0003-1246-0592
Therdpong ThongseiratchDivision of Developmental and Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0002-9907-6106
Polathep VichitkunakornDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0003-2309-5308
Pitchayanont NgamchaliewDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID https://orcid.org/0000-0003-1100-3138
Prince of Songkla University · THNational Science and Technology Development Agency · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeing 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.

objectiveThis 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.

methodsA 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

resultsOf 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).

conclusionsMore 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.

Indexed as

generationslogging frequencymobile health appweight reductionweight status

Identifiers

PMID37389918
PMCPMC10365584
OpenAlexW4382632102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.