Evidence map›Paper›PMID 38520484›Full record

ArticleAging clinical and experimental research2024

Longitudinal trajectories of disability among Chinese adults: the role of cardiometabolic multimorbidity.

Huihui He, Raoping Tu, Huahua Chen, Chao Wang, Shengjuan Wu, Suhang Wang

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Huihui HeDepartment of Nursing, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China. hhhvita@163.com.
Raoping TuSchool of Health Management, Fujian Medical University, Fuzhou, Fujian, China.
Huahua ChenDepartment of Gastrointestinal surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Chao WangDepartment of Gastrointestinal surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Shengjuan WuDepartment of Gastrointestinal surgery, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Suhang WangAnesthesia Surgery and Pain Management, Department Zhongda Hospital, School of Medicine Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic multimorbidity (CM) has been found to be associated with higher mortality and functional limitations. However, few studies have investigated the longitudinal association between CM and disability in the Chinese population and whether these associations vary by smoking status.

methodsThe study included 16,754 participants from four waves (2011, 2013, 2015, and 2018) of China Health and Retirement Longitudinal Study (CHARLS) (mean age: 59, female: 51%). CM was assesed at baseline and defined as having two or more of diabetes, stroke, or heart disease. Disability was repeatedly measured by summing the number of impaired activities of daily living (ADL) and instrumental activities of daily living (IADL) during the 7-year follow-up. Linear mixed-effects model was used to determine the association of CM and trajectories of disability and to assess the modification effect of smoking status in these associations.

resultsParticipants with CM at baseline had a faster progression of disability compared to those without CM (CM: β = 0.13, 95% CI: 0.05 to 0.21). Current smokers with CM developed disability faster than their counterparts (P

conclusionCM was associated with more a rapid disability progression. Notably, being current smokers may amplify the adverse effects of CM on disability progression.

Indexed as

Heart DiseasesMultimorbidityActivities of Daily LivingChinaFemaleHumansLongitudinal StudiesSmokingCardiometabolic multimorbidityDiabatesDisabilityHeart diseasesStrokeTrajectory

Identifiers

PMID38520484
PMCPMC10960913

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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.