ArticleBMC geriatrics2026
Cognitive status and associated risk factors in high-risk older adults of China: a population-based cross-sectional study.
Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
backgroundOlder adults at high-risk conditions are particular vulnerable to cognitive impairment; however, population-based assessments targeting this group remain limited. To exam cognitive status and associated risk factors in high-risk older adults in China.
methodsThis population-based cross-sectional study was conducted across Hainan Province comprising adults aged ≥ 60 years with at least one high-risk condition: physical activity limitations, disability, stroke history, mental health symptoms, or subjective memory concerns, through stratified regional sampling. Pre-mild cognitive impairment (Pre-MCI) and MCI were assessed using the validated BABRI-brain health system. Demographic and health-related data collected from registries and self-reports. The prevalence rates of Pre-MCI and MCI were calculated, and multivariable logistic regression was applied to identify risk factors.
resultsAmong 228,087 participants (mean age 73.6 ± 8.6 years; 57.6% female; 67.1% with primary education or less), the prevalence of Pre-MCI and MCI was 51.4% and 32.0%, respectively. Significant risk factors for cognitive outcomes included older age (OR range for Pre-MCI: 1.27 [1.24–1.30] to 3.09 [2.77–3.45]; for MCI: 1.04 [1.01–1.07] to 4.28 [3.84–4.78]), unmarried status (OR 1.07 [1.03–1.12] for Pre-MCI; 1.45 [1.39–1.52] for MCI), lower education (OR range for Pre-MCI: 1.37 [1.32–1.41] to 3.74 [3.59–3.89]; for MCI: 1.61 [1.54–1.68] to 6.92 [6.60–7.25]), occupation as farmer/housemaker (OR 1.37 [1.31–1.43] for Pre-MCI; 1.59 [1.51–1.67] for MCI), and residence in medium GDP regions (OR 1.74 [1.66–1.82] for Pre-MCI; 1.38 [1.32–1.45] for MCI). Additional risk factors included hearing impairment, cerebral hemorrhage, family dementia history, and hypertension. Sex-specific differences were observed.
conclusionThe high prevalence of cognitive impairment in high-risk older adults highlights the need for tailored public health strategies. Particular attention should be given to those who are unmarried, with lower education, hearing impairment, and hypertension.
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.