Sleep disturbance model for rural Chinese older adults with mild cognitive impairment
In a cross-sectional survey of 1,049 rural Chinese adults aged 60+ with mild cognitive impairment, 54.2% had sleep disturbance. Sex, hypertension, self-rated health and depression were independent predictors in a nomogram with good discrimination (AUC 0.759). [1]
Automatic summary · not editorially reviewed
The key findings
The study included 1,049 rural older adults aged 60 or older with mild cognitive impairment in Shandong Province, China. [1]
Sleep quality was assessed with the Pittsburgh Sleep Quality Index in a cross-sectional design. [1]
Sleep disturbance prevalence was 54.2%, and the nomogram reached an AUC of 0.759. [1]
The source at a glance
- Study type / format
- Cross-sectional study using 2024 baseline survey data.
- Population / context
- 1,049 rural older adults aged 60 or older with mild cognitive impairment in Shandong Province, China.
- Summary based on
- Study abstract
- Original publication
- October 20, 2026
Sleep disturbance in rural older adults with MCI
The researchers wanted to build and test a risk assessment model for sleep disturbance among rural older adults with mild cognitive impairment (MCI), a mild decline in memory and thinking. The aim was to support early screening and targeted intervention. The study population was 1,049 rural adults aged 60 or older with MCI in Shandong Province, China.
Supporting source [1]
Cross-sectional survey with questionnaires and health exams
This was a cross-sectional study using data from the 2024 baseline survey of the Active Aging Cohort in Rural Areas. Information on demographics, lifestyle, disease history and psychological factors came from face-to-face questionnaires and health examinations. Sleep quality was measured with the Pittsburgh Sleep Quality Index. Statistical models identified independent predictors, which were combined into a nomogram, a visual scoring tool. Model performance was checked with several curve-based methods and internal bootstrap validation.
Supporting source [1]
54.2% prevalence; four predictors; good discrimination
Sleep disturbance was present in 54.2% of participants. Sex, hypertension, self-rated health and depression were independent predictors. The nomogram showed good discrimination (AUC = 0.759, 95% confidence interval 0.731–0.778) and calibration, and internal validation confirmed robustness. Because the design is cross-sectional, these are associations, not causes, and the timing of predictors relative to sleep problems is not established. The model was internally validated only, so performance in other populations is unknown.
Supporting source [1]
How to interpret this
Abstract only; the full text was not reviewed. Cross-sectional design means associations, not causes. Only internal bootstrap validation is reported; external validation and follow-up are not described.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Yang T, Chi J, Song J, Yan L, Li W, Xu Z, Li H, Dai C, Leng M. · europepmc.org · October 20, 2026