Evidence map›Paper›PMID 42692442›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2026

Physical Inactivity and Non-communicable Disease Burden in Five ASEAN Countries: A 12-Year Panel Analysis Using Structural Equation Modeling and Machine Learning Projections.

Moch Yunus, Mahalul Azam, Endang Sri Wahjuni, Ronal Surya Aditya, Reem Lafi AlMutairi, Supriyadi Supriyadi

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Moch YunusDepartment of Medicine, Faculty of Medicine, Universitas Negeri Malang, Malang, Indonesia. moch.yunus.fk@um.ac.id.
Mahalul AzamDepartment of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.
Endang Sri WahjuniDepartment of Medicine, Faculty of Medicine, Universitas Negeri Surabaya, Surabaya, Indonesia.
Ronal Surya AdityaDepartment of Nursing, Faculty of Nursing, Universitas Jember, Jember, Indonesia.
Reem Lafi AlMutairiDepartment of Public Health, College of Public Health and Health Informatics, University of Hail, Hail, Saudi Arabia.
Supriyadi SupriyadiDepartment of Medicine, Faculty of Medicine, Universitas Negeri Malang, Malang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Non-communicable diseases (NCDs) are a leading cause of preventable mortality in Southeast Asia, but population-level evidence linking physical inactivity to NCD burden across the Association of Southeast Asian Nations (ASEAN) remains limited. This study quantified associations between physical inactivity prevalence and NCD-related disability-adjusted life years (DALYs), cardiovascular mortality, and diabetes prevalence across five ASEAN countries from 2010 to 2021 and projected 2025 NCD burden trajectories under an exploratory business-as-usual scenario. Methods: A longitudinal panel dataset of 60 country-year observations was analyzed using fixed-effects regression with Driscoll-Kraay standard errors, partial least squares structural equation modeling, and XGBoost machine learning with Shapley additive explanations. Missing data (2.1-6.4%) were handled using multiple imputation by chained equations. Results: Physical inactivity was independently associated with NCD DALYs (β=0.421; 95% confidence interval, 0.251 to 0.591; p<0.001). A significant attenuating interaction with the universal health coverage (UHC) index was observed (β=-0.183; 95% CI, -0.358 to -0.008; p=0.041). Because the UHC index was rescaled to 10-point units, this indicates that for every 10-point increase in the UHC index, the regression coefficient for physical inactivity decreased by 0.183 units (DALYs per 100 000 population), demonstrating a significant buffering effect of health system coverage on the inactivity-NCD association. The structural equation model explained 78.2% of the variance in NCD burden and identified a significant exploratory longitudinal indirect association through health system resilience, with 19.8% of the total association mediated through this pathway. Under the exploratory business-as-usual scenario, NCD DALYs were projected to increase by 7.8-20.9% by 2025, with Indonesia and the Philippines showing the highest projected increases. Conclusions: UHC expansion may attenuate inactivity-related NCD burden. For ASEAN countries undergoing rapid epidemiological transition, coordinated investment in health system capacity and multisectoral physical activity promotion may help limit projected DALY increases and support progress toward Sustainable Development Goal 3.

Indexed as

Machine LearningNoncommunicable DiseasesSedentary BehaviorAsia, SoutheasternBoosting Machine Learning AlgorithmsCardiovascular DiseasesDiabetes MellitusDisability-Adjusted Life YearsHumansLatent Class AnalysisLongitudinal StudiesPrevalenceLongitudinal studiesNoncommunicable diseasesSedentary behaviorSoutheast AsiaUniversal health coverage

Identifiers

PMID42692442
PMCPMC13668394

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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.