ArticlePloS one2018
Effectiveness of nationwide screening and lifestyle intervention for abdominal obesity and cardiometabolic risks in Japan: The metabolic syndrome and comprehensive lifestyle intervention study on nationwide database in Japan (MetS ACTION-J study).
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.
- General health checks in adults for reducing morbidity and mortality from disease.The Cochrane database of systematic reviews · 2019Pooled it
- The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- Feasibility pilot study of a Japanese teaching kitchen program.Frontiers in public health · 2023Trial
- A Randomized Trial of Home Blood-Pressure Reduction by Alcohol Guidance During Outpatient Visits: OSAKE Study.American journal of hypertension · 2021Trial
- Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.Nutrients · 2026Article
- The Specific Health Checkups and Specific Health Guidance Program: A Strategy for the Prevention of Cardiovascular Disease in Japan.Journal of atherosclerosis and thrombosis · 2026Review
- The association of incident abdominal obesity with diet and unfavorable lifestyle factors in Korean adults: A prospective cohort study.Medicine · 2026Observational
- The impact of awareness of health checkup results on dropout from the specific health guidance programs on metabolic syndrome in the teacher population.Environmental health and preventive medicine · 2026Article
- Development of a new segmentation algorithm for "precontemplation" stage in lifestyle change among high-risk populations for lifestyle-related diseases.Frontiers in public health · 2026Article
- Repeated Specific Health Guidance and improvement of metabolic syndrome in middle-aged working men: a longitudinal observational study using modified Poisson regression.Environmental health and preventive medicine · 2026Observational
- External Validation of a Risk Prediction Model for Atherosclerotic Cardiovascular Diseases in a Large National Health-Checkup and Claim Database.Journal of the American Heart Association · 2025Article
- Review
- Positive Impact of Health Check-Ups and Guidance in the General Population: A Database-Based Cohort Study in Japan.AJPM focus · 2025Article
- Temporal trends in cancer mortality attributable to high BMI in Asia: an age-period-cohort analysis based on GBD 1992-2021.Frontiers in endocrinology · 2025Article
- Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCD Plus clinics: multilevel analysis.BMC health services research · 2024Article
- Machine Learning Approaches for Stroke Risk Prediction: Findings from the Suita Study.Journal of cardiovascular development and disease · 2024Article
- Navigating Cardiometabolic Health Behavior during the Pandemic: Strategies for Metabolic Syndrome Management.Journal of obesity & metabolic syndrome · 2024Article
- Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022.Journal of atherosclerosis and thrombosis · 2024Article
- Prediction and causal inference of cardiovascular and cerebrovascular diseases based on lifestyle questionnaires.Scientific reports · 2024Article
- Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLifestyle interventions can substantially improve obesity and cardiometabolic risks. However, evidence of long-term benefits of national intervention is sparse. We aimed to evaluate the long-term effectiveness of a nationwide program for abdominal obesity.
methodsA retrospective cohort study was performed using a longitudinal nationwide individual data in subjects aged 40-74 years who underwent checkups in fiscal year (FY) 2008. Lifestyle interventions were provided via interview in subjects with abdominal obesity and at least one cardiometabolic risk factor. Subjects who attended the lifestyle intervention (participants) were compared to those who did not attend (non-participants). Outcomes were waist circumferences (WC) and body mass index (BMI) reduction, reversal of metabolic syndrome (MetS), and changes in cardiometabolic risks. We used a three-step process with robust analytic approaches to account for selection bias that included traditional multivariate analysis, propensity-score matching and instrumental variable (IV) analyses.
resultsOf 19,969,722 subjects, 4,370,042 were eligible for analyses; 111,779 participants and 907,909 non-participants. A higher percentage of participants had ≥5% reductions in obesity profiles at year 3, compared to non-participants (WC, 21.4% vs 16.1%; BMI, 17.6% vs 13.6%; p<0.001 each). Participants also had higher reversal for MetS (adjusted odds ratio 1.31; 95% confidence interval: 1.29-1.33; p<0.001). Greater reductions in cardiometabolic risks were observed in participants. Those results were confirmed in analyses using a propensity score-matched cohort (n = 75,777, each) and IV analyses. Limitations of this work include the use of non-randomized national data in Japan to assess the effectiveness of the nationwide preventive program.
conclusionsIn the nationwide lifestyle intervention for abdominal obesity, the at-risk population achieved significant reductions in WC, BMI, and cardiometabolic risks in 3 years. This study provides evidence that the nationwide program effectively achieved long-term improvement in abdominal obesity and cardiometabolic risks.
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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.