Evidence map›Paper›PMID 36554836›Full record

ArticleInternational journal of environmental research and public health2022

Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China.

Yaqin Zhong, Hanqing Xi, Xiaojun Guo, Tiantian Wang, Yanan Wang, Jian Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 1 country.

Yaqin ZhongSchool of Public Health, Nantong University, Nantong 226019, China.ORCID 0000-0001-9467-7239
Hanqing XiSchool of Medicine, Nantong University, Nantong 226019, China.
Xiaojun GuoSchool of Science, Nantong University, Nantong 226019, China.
Tiantian WangSchool of Public Health, Nantong University, Nantong 226019, China.
Yanan WangSchool of Public Health, Nantong University, Nantong 226019, China.
Jian WangDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan 430072, China.ORCID 0000-0001-8769-7928
Nantong University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity has become a global public health concern. Knowledge about the prevalence and patterns of multimorbidity will provide essential information for public intervention and clinical management. This study aimed to examine gender and socioeconomic differences in the prevalence and patterns of multimorbidity among a nationally representative sample of middle-aged and older Chinese individuals.

methodsData were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. Latent class analysis was conducted to discriminate among the multimorbidity patterns. Multinomial logit analysis was performed to explore gender and socioeconomic factors associated with various multimorbidity patterns.

resultsA total of 19,559 respondents over 45 years old were included in the study. The findings showed that 56.73% of the respondents reported multimorbidity, with significantly higher proportions among women. Four patterns, namely "

Indexed as

ArthritisMultimorbidityAgedChinaChronic DiseaseFemaleHumansLongitudinal StudiesMiddle AgedPrevalenceSocioeconomic Factorsgender differencesmultimorbiditypatternssocioeconomic difference

Identifiers

PMID36554836
PMCPMC9779237
OpenAlexW4312194601

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.