Evidence map›Paper›PMID 34743400›Full record

ArticlePsychogeriatrics : the official journal of the Japanese Psychogeriatric Society2022

Exploring the relationship between depression and different multimorbidity patterns among older people covered by long-term care insurance in Shanghai, China.

Cancan Li, Wenjia Peng, Mengying Li, Xinghui Li, Tingting Yang, Huosheng Yan, Zijing Wang, Xianjie Jia, Zhi Hu, Ying Wang

Open access · hybridAbstract read
In one paragraph

Article in Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Cancan LiSchool of Health Service Management, Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0001-7998-146X
Wenjia PengEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, China.
Mengying LiSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
Xinghui LiSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
Tingting YangSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
Huosheng YanSchool of Health Service Management, Anhui Medical University, Hefei, China.
Zijing WangSchool of Health Service Management, Anhui Medical University, Hefei, China.
Xianjie JiaEpidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, China.
Zhi HuSchool of Health Service Management, Anhui Medical University, Hefei, China.
Ying WangSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
Anhui Medical University · CNFudan University · CNBengbu Medical College · CN

Funding

National Natural Science Foundation of China 71573002National Natural Science Foundation of China 71673002National Natural Science Foundation of China 71974034
6 · The paper itself

Abstract

backgroundDepression is common in patients with multimorbidity, but little is known about the relationship between depression and multimorbidity. The purpose of our research was to investigate multimorbidity patterns and their association with depression in a sample of older people covered by long-term care insurance in Shanghai, China.

methodThis was a population-based cross-sectional study, with 1871 participants aged ≥60 years old who are covered by Shanghai long-term care insurance. Multimorbidity was defined as the presence of two or more chronic diseases at the same time. We collected information on chronic conditions using a self-reported medical history, and we used the 30-item Geriatric Depression Scale (GDS-30) to evaluate depressive symptoms. Patterns of multimorbidity were identified with exploratory factor analysis, using oblimin rotation. Logistic regression was used to estimate the relationship between multimorbidity patterns and depressive symptoms.

resultsAmong the participants, the prevalence of multimorbidity was 64.7%, and the prevalence of depression was 64.6%. Hypertension, cardiovascular disease, cerebrovascular disease (CVD), and cataracts showed strong associations with depression when co-occurring with other conditions. Three patterns of multimorbidity were identified: a musculoskeletal pattern, cardiometabolic pattern, and degenerative disease pattern. Among these, the cardiometabolic (adjusted odds ratio (AOR) 1.223; 95% confidence interval (CI) 1.102, 1.357) and degenerative disease (AOR 1.185; 95% CI 1.071, 1.311) patterns were associated with a higher risk of depressive symptoms.

conclusionTwo of three multimorbidity patterns were found to be associated with depression. Physical and psychological dimensions require greater attention in the care of older adults who are covered by long-term care insurance.

Indexed as

Insurance, Long-Term CareMultimorbidityAgedChinaChronic DiseaseCross-Sectional StudiesDepressionHumansPrevalencedepressionlong-term care insurancemultimorbidityolder people

Identifiers

PMID34743400
PMCPMC9297888
OpenAlexW3135979273

What OpenQuestion holds

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Registered trials

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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.