Evidence map›Paper›PMID 39451502›Full record

ArticleHealthcare (Basel, Switzerland)2024

Activities of Daily Living Disability Transition Patterns in Older Adults with Chronic Diseases: A Four-Year Cohort Study in China.

Tian Guo, Yunwei Zhang, Gang Xu, Wenxian Liu, Hansheng Ding, Shaofan Chen

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tian GuoSchool of Health Policy and Management, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing 211166, China.ORCID 0009-0001-1308-6849
Yunwei ZhangShanghai Health Development Research Center (Shanghai Medical Information Center), No. 602 Jianguo (W) Road, Xuhui District, Shanghai 200031, China.
Gang XuSchool of Public Health, Shanghai Jiaotong University, No. 227 South Chongqing Road, Shanghai 200025, China.
Wenxian LiuSchool of Health Policy and Management, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing 211166, China.
Hansheng DingShanghai Health Development Research Center (Shanghai Medical Information Center), No. 602 Jianguo (W) Road, Xuhui District, Shanghai 200031, China.
Shaofan ChenSchool of Health Policy and Management, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing 211166, China.

Funding

Nanjing Medical University KY107RC20210007
6 · The paper itself

Abstract

backgroundOlder adults with chronic diseases often experience higher rates of Activities of Daily Living (ADL) disability, with research primarily examining the transition between states of ADL disability and non-disability. The current study aims to analyze the patterns and factors of mutual transitions between multiple different ADL disability states in older adults with chronic diseases.

methodsThis longitudinal study utilized data from the Shanghai Elderly Care Unified Needs Assessment (SECUNA) spanning 2014 to 2017, with 2014 being the baseline. The study included older adults aged 60 years and older with chronic diseases. Using the Markov model, individuals were classified into three states: no ADL disability, mild ADL disability, and severe ADL disability. Transition patterns were analyzed by calculating the frequency, intensity, and probability of transition, and the influencing factors of six transition scenarios were evaluated.

resultsOlder adults with mild ADL disability were more likely to experience improvement (transition intensity: 0.4731) rather than deterioration (transition intensity: 0.2226) in their ADL disability states. However, those with severe ADL disability faced challenges in improving their states (transition intensities: 0.0068 and 0.1204). Among the six ADL disability transition scenarios, place of residence was associated with four scenarios, age and economic sources were associated with three scenarios, sex was associated with two scenarios, and other factors were associated with one scenario.

conclusionsThe transition patterns and factors differ among individuals with varying ADL disability states. It is essential for relevant agencies to implement tailored preventive healthcare strategies to effectively manage the health status of older adults with chronic diseases.

Indexed as

ADL disabilitychronic diseasesmulti-state Markov modelolder adultstransition

Identifiers

PMID39451502
PMCPMC11507419

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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.