Evidence map›Paper›PMID 40664834›Full record

ArticleNature aging2025

Disease burden, lifetime healthcare cost and long-term intervention impact projections among older adults in Singapore.

Xueying Guo, Bryan Tysinger, Hwee Lin Wee, Mythily Subramaniam, Stefan Ma, Tze Pin Ng, Cynthia Chen

Abstract read
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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

7 authors.

Xueying GuoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID http://orcid.org/0009-0004-7584-1119
Bryan TysingerSchaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA.
Hwee Lin WeeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Mythily SubramaniamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID http://orcid.org/0000-0003-4530-1096
Stefan MaHealth Analytics Division, Ministry of Health, Singapore, Singapore.ORCID http://orcid.org/0000-0002-2415-5045
Tze Pin NgDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9585-855X
Cynthia ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore. cynchen@nus.edu.sg.ORCID http://orcid.org/0000-0002-1947-8069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Singapore's rapidly aging population and increasing healthcare demands highlight the need for projections to inform policy planning. Here we adapted a previously published dynamic Markov microsimulation model, the Future Elderly Model, to estimate disease trajectories and healthcare expenditure among adults aged 51 years and older in Singapore. The model simulated four long-term lifestyle interventions aligned with the Healthier SG program from 2020 to 2050. Our projections indicate an increasing prevalence of chronic conditions, comorbidities, obesity and disabilities, with ethnic differences. The projected lifetime healthcare expenditure is the highest among Indians (US $93,900; 95% credible interval (CI), US $68,900-119,000), followed by the Chinese (US $75,700; 95% CI, US $57,600-93,800) and Malays (US $70,000; 95% CI, US $52,000-88,000). Despite having a higher chronic disease burden, Malays are expected to incur lower lifetime expenditure due to their shorter life expectancy. Implementing all 4 interventions could save US $505 million (95% CI, US $462-547 million) in healthcare use by 2050. Sustained lifestyle interventions may moderate the increase in future burdens. Policy strategies should prioritize preventive care tailored to the specific needs of diverse population subgroups.

Indexed as

Cost of IllnessHealth Care CostsAgedAged, 80 and overChronic DiseaseFemaleHealth ExpendituresHumansLife ExpectancyLife StyleMaleMarkov ChainsMiddle AgedSingapore

Identifiers

PMID40664834
PMCPMC12270899

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.