Evidence map›Paper›PMID 42897358›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Construction and validation of a predictive model for sleep disorders among rural older adults with mild cognitive impairment.

Teng Yang, Jiajing Chi, Jia Song, Luyao Yan, Wen Li, Ziting Xu, Haoyuan Li, Chunhao Dai, Minmin Leng

Abstract readValidation Study
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Teng Yang *Department of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Jiajing Chi *Department of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Jia SongSchool of Nursing, Shandong First Medical University, Jinan, Shandong, China.
Luyao YanSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Wen LiSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Ziting XuSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Haoyuan LiSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Chunhao DaiSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Minmin LengDepartment of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China. lengmm1992@126.com.ORCID http://orcid.org/0000-0002-0655-6435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto construct and validate a risk assessment model for sleep disturbance among rural older adults with mild cognitive impairment (MCI), to support early screening and targeted intervention.

designa cross-sectional study using data from the 2024 baseline survey of the Active Aging Cohort in Rural Areas, Shandong Province, China. SUBJECTS: 1,049 rural older adults aged ≥ 60 years with MCI.

methodsdemographic, lifestyle, disease history, and psychological factors were collected through face-to-face survey questionnaires and health examinations. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression identified independent predictors, which were used to build a nomogram. Model performance was evaluated with ROC curve, calibration curve, decision curve analysis, and bootstrap validation.

resultsthe prevalence of sleep disturbance was 54.2%. Sex, hypertension, self-rated health, and depression were identified as independent predictors. The nomogram demonstrated good discrimination (AUC = 0.759, 95%CI: 0.731-0.778) and calibration, with internal validation confirming robustness.

Indexed as

Cognitive DysfunctionRural PopulationSleep Wake DisordersAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNomogramsPrevalenceRisk AssessmentSleep QualityMild cognitive impairmentRisk assessmentRural older adultsSleep disturbance

Identifiers

PMID42897358

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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.