Evidence map›Paper›PMID 34147073›Full record

ArticleBMC geriatrics2021

Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study.

Jiao Lu, Yuan Wang, Lihong Hou, Zhenxing Zuo, Na Zhang, Anle Wei

Abstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
–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

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.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Risk factors for inflammatory bowel disease: an umbrella review.Frontiers in cellular and infection microbiology · 2024
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  19. The Impact of Multimorbidity on Labor Force Participation Among the Middle-Aged and Older Working Population in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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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.

Jiao LuSchool of Management, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi Province, China. lujiao801@163.com.ORCID 0000-0003-0866-8104
Yuan WangSchool of Management, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi Province, China.
Lihong HouThe Second Affiliated Hospital, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, China.
Zhenxing ZuoSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China.
Na ZhangSchool of Management, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi Province, China.
Anle WeiSchool of Management, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi Province, China.

Funding

General Project of Shanxi Province University Philosophy and Social Science 201803064Key research base of philosophy and social sciences in Shaanxi Province-Health Culture Research Center of Shaanxi JKWH2019-Q10National Natural Science Foundation of China 71804101Scientific and technological innovation projects of colleges and universities in Shanxi Province 2019L0446Soft Science Research Program in Shanxi Province 2018041037-2the Doctorial Start-up Fund of Shanxi Medical University BS201738
6 · The paper itself

Abstract

backgroundInfluenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model.

methodsIn 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns.

resultsThe prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. "Degenerative/digestive diseases", "metabolic diseases" and "cardiovascular diseases" were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05).

conclusionsIn management of old patients with multimorbidity, we should prioritize both the "lifestyle change"-centered systematic management strategy and group-customized intervention programs.

Indexed as

MultimorbidityChinaChronic DiseaseCross-Sectional StudiesHumansPrevalenceHealth ecological modelMulti-layered factorsMultimorbidityPatterns

Identifiers

PMID34147073
PMCPMC8214251

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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.