ArticleInternational journal of environmental research and public health2019
Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of decision analytical models to diabetes in low- and middle-income countries: a systematic review.BMC health services research · 2022Pooled it
- The effect of aged garlic extract on the atherosclerotic process - a randomized double-blind placebo-controlled trial.BMC complementary medicine and therapies · 2020Trial
- Improving treatment outcomes in Ghana with agent-based model for diabetes patients' self-management behaviours.Health care management science · 2026Article
- Survival and predictors of mortality among adults with type 2 diabetes at a teaching hospital in Ghana: a retrospective cohort study.BMC public health · 2026Article
- Triglycerides as a mediator in the hyperuricemia-diabetes link: insights from a hypertensive Chinese population.Frontiers in endocrinology · 2025Article
- Which Social Variables Predict Diabetes Onset? Robust Findings in Two National Surveys.The Gerontologist · 2024Article
- Global biomarkers of oxidative stress and fractures: a matched case-control study.Frontiers in endocrinology · 2023Article
- Mortality and Years of Life Lost in Diabetes Mellitus and Its Subcategories in China and Its Provinces, 2005-2020.Journal of diabetes research · 2022Article
- Prevalence and reasons of increased type 2 diabetes in Gulf Cooperation Council Countries.Saudi medical journal · 2021Review
- Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2020Review
- The Quality of Caregivers for the Elderly in Long-Term Care Institutions in Zhejiang Province, China.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
China's diabetes epidemic is getting worse. People with diabetes in China usually have a lower body weight and a different lifestyle profile compared to their counterparts in the United States (US). More and more evidence show that certain lifestyles can possibly be spread from person to person, leading some to propose considering social influence when establishing preventive policies. This study developed an innovative agent-based model of the diabetes epidemic for the Chinese population. Based on the risk factors and related complications of diabetes, the model captured individual health progression, quantitatively described the peer influence of certain lifestyles, and projected population health outcomes over a specific time period. We simulated several hypothetical interventions (i.e., improving diet, controlling smoking, improving physical activity) and assessed their impact on diabetes rates. We validated the model by comparing simulation results with external datasets. Our results showed that improving physical activity could result in the most significant decrease in diabetes prevalence compared to improving diet and controlling smoking. Our model can be used to inform policymakers on how the diabetes epidemic develops and help them compare different diabetes prevention programs in practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.