ArticleBMC geriatrics2022
Population attributable fractions for risk factors and disability burden of dementia in Jiangxi Province, China: a cross-sectional study.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population attributable fractions of modifiable risk factors for dementia: a systematic review and meta-analysis.The lancet. Healthy longevity · 2024Pooled it
- Hearing Intervention for Older Adults With Mild Cognitive Impairment: The CHOICE Randomized Clinical Trial.JAMA neurology · 2026Article
- Potential for primary prevention of low birth weight in pregnancies with and without gestational diabetes mellitus: a prospective cohort study in Central China.BMC pregnancy and childbirth · 2026Article
- All-cause health-adjusted life expectancy in Jiangxi Province, China, 2000-2030: systematic estimation and analysis.Preventive medicine reports · 2026Article
- Distinct modifiable risk factors and preventable burdens of preterm birth: a risk-stratified analysis of pregnancies with and without gestational diabetes mellitus.Frontiers in pediatrics · 2026Article
- Dementia risk reduction in China: Country-specific estimates of modifiable risk factors and population attributable fractions (PAFs).Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Temporal trend and attributable risk factors of Alzheimer's disease and other dementias burden in China: Findings from the Global Burden of Disease Study 2021.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).BMC medicine · 2024Article
- Temporal trends and disparities of population attributable fractions of modifiable risk factors for dementia in China: a time-series study of the China health and retirement longitudinal study (2011-2018).The Lancet regional health. Western Pacific · 2024Article
- The iceberg of dementia risk: empirical and conceptual arguments in favor of structural interventions for brain health.Cerebral circulation - cognition and behavior · 2024Article
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Authors and funding
10 authors.
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Abstract
backgroundIn view of the fact that there is no effective treatment for dementia, the number of years that dementia patients have to live with dementia will gradually increase for the rest of their lives, and the disability loss caused by dementia will increase. It is urgent to study the influence of risk factors on dementia by making use of the potential of prevention. The purpose of this study is to quantify the burden of dementia disability attributable to risk factors by assessing the population attributable fractions (PAFs) in Jiangxi Province, which is one of the regions of moderate aging process of China.
methodsThe prevalence data of nine risk factors were obtained through the Sixth National Health Service Survey in 2018, which covered 2713 older people. Levin's formula was used to calculate the PAF for each risk factor for dementia. We adjusted the PAF for communality between risk factors, and used these values to calculate overall weighted PAFs and the years lived with disability (YLDs), which were attributable to nine risk factors.
resultsThe number of dementia cases and their proportions that can theoretically be prevented by nine identified risk factors were 111636 (99595-120877) and 66.8% (59.6-72.3), respectively. The total YLDs of dementia were estimated to be 61136 (46463-78369) (males: 36434 [24100-49330], females: 23956 [14716-34589]). Physical inactivity (11639 [8845-14920]), low social contact (9324 [7086-11952]), and hearing loss (5668 [4307-7265] were the top three contributors to dementia.
conclusionsThe moderate aging areas represented by Jiangxi Province have great potential in the prevention of dementia. Targeted interventions and management of risk factors can effectively reduce the disability burden of dementia.
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