Evidence map›Paper›PMID 41945603›Full record

ArticlePLoS medicine2026

Impact of abdominal obesity prevalence trends on dementia, cardiovascular disease, functional impairment, and mortality in older Chinese adults: A Markov scenario simulation, 2020-2050.

Yujing Zhou, Minrui Zeng, Yuntao Chen, Piotr Bandosz, Eric Brunner, Jing Liao

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Article in PLoS medicine, 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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5 · Who and what money

Authors and funding

6 authors.

Yujing ZhouDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Minrui ZengDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5430-0178
Yuntao ChenDepartment of Epidemiology & Public Health, University College London, London, United Kingdom.
Piotr BandoszDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-6395-6216
Eric BrunnerDepartment of Epidemiology & Public Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0595-4474
Jing LiaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-6370-3430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia, cardiovascular disease (CVD), and functional impairment (FI) often co-occur in aging populations, with abdominal obesity as a shared modifiable risk factor. The long-term impact of abdominal obesity on these comorbidities is unclear. We projected the 30-year burden of dementia, FI, and CVD in China under different trajectories of abdominal obesity prevalence. METHODS AND

findingsWe modeled three trajectories of abdominal obesity prevalence from 2020 to 2050 using data from the China Health and Nutrition Survey (2000-2015): continuation of the observed growth prevalence trend (persistent), stabilization at 2015 levels (optimal), and a 50% reduction in the growth rate (improved). Abdominal obesity was defined as a waist circumference of ≥90 cm for men and ≥85 cm for women. A Markov model was used to estimate occurrence of dementia, CVD, FI, and mortality among adults aged ≥65 years by sex and year. Under the persistent scenario, dementia cases were projected to rise to 37.8 million (95% uncertainty interval (UI) [36.7, 38.9]) by 2050, alongside 68.1 million (95% UI [66.7, 69.5]) cases of FI, 198.3 million (95% UI [196.5, 200.4]) CVD cases, and 17.6 million (95% UI [16.5, 18.7]) deaths. Compared with the persistent scenario, dementia and FI burdens increased under the optimal and improved scenarios by 2050, by 1396.0 thousand (95% UI [589.1, 2293.9]) and 711.4 thousand (95% UI [294.4, 1150.3]) for dementia, and by 2570.6 thousand (95% UI [1081.0, 4024.9]) and 1289.5 thousand (95% UI [569.5, 2034.2]) for FI, mainly due to reduced CVD mortality expanding the population at risk. These shifts are most pronounced among adults aged ≥80 years and women. For CVD, reductions in the number of cases were projected in the short term (by 2030), but these changes remain uncertain by 2050. Main limitations include the assumption that other risk factors remain unchanged, and the lack of modeling of multiple co-occurring dementia's risk factors.

conclusionsAbdominal obesity control may reduce CVD incidence and mortality, thereby shifting the disease burden toward dementia and FI due to increased longevity, highlighting the need for integrated, life-course public health strategies responsive to the patterns of dementia and its comorbidity in older people.

Indexed as

Cardiovascular DiseasesDementiaObesity, AbdominalAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansMaleMarkov ChainsPrevalenceRisk Factors

Identifiers

PMID41945603
PMCPMC13082697

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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.