Evidence map›Paper›PMID 41889381›Full record

ArticleThe Lancet regional health. Western Pacific2026

Impact of the national steps challenge physical activity programme on obesity and type 2 diabetes prevalence in Singapore to 2050: simulation-based forecasting analysis.

Bekzod Normatov, Haolong Song, Shihui Jin, Xinyu Zhang, Yichen He, Nigel W H Lim, Vong Fee Zheng, Muhammad Hafiz Bin Mohd Aziz, Falk Müller-Riemenschneider, Charmaine Pei Ling Lee and 1 more

Erratum issuedAbstract read
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Article in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Bekzod NormatovSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Haolong SongSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Shihui JinSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Xinyu ZhangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Yichen HeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Nigel W H LimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Vong Fee ZhengSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Muhammad Hafiz Bin Mohd AzizSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Charmaine Pei Ling LeePolicy, Research and Surveillance Division, Health Promotion Board, Singapore.
Borame L DickensSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The National Steps Challenge (NSC) is a physical activity intervention that has enrolled over 2.1 million people in Singapore across 9 years. The impacts of this intervention on current and future obesity, and type 2 diabetes mellitus (T2DM) prevalence are currently unknown. Here, we estimate population-level impacts and explore future scenarios in how physical activity interventions could mitigate rising obesity and T2DM burdens. Methods: Using a microsimulation model of 7.9 million Singapore residents and NSC participation data, we modelled the associated effects of physical activity on BMI trajectories and T2DM prevalence across the Singaporean population from 1990 to 2050 by ethnicity, sex, age, and body-mass-index subgroups. We then simulated five programme scenarios, ranging from no NSC to full population-wide deployment, projecting estimated future prevalences. Findings: Without the NSC, total obesity prevalence was projected to rise from 13.6% (total n = 261,675) in 1990 to 32.4% (total n = 1,189,081) by 2050, and T2DM from 5.8% (total n = 111,597) to 16.0% (total n = 587,200). Based on current recruitment and programme retention rates, relative to the No NSC, total obesity and T2DM prevalence could be lowered by 4.8% (1.5%-8.1%; n = 179,380) and 1.2% (0.3%-2.8%; n = 36,407), respectively, by 2050. These reductions are estimated to vary substantially by ethnicity and sex, and programme scenario. Interpretation: Physical activity programmes such as the NSC can help mitigate rising obesity and T2DM prevalence when implemented at the population level, as seen in Singapore. However, their success depends on robust digital infrastructure and sustained incentivisation to enhance long-term impact. Funding: This research was supported by the Population Health Metrics and Analytics project, the Ministry of Health.

Indexed as

BMI lossDiabetes prevalenceIntervention scenariosMicrosimulation studyObesity prevalencePhysical activity interventionPhysical activity policyPublic healthSingapore

Identifiers

PMID41889381
PMCPMC13015732

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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.