Evidence map›Paper›PMID 31427309›Full record

ArticleBMJ open2019

Prevalence and patterns of multimorbidity among the elderly in China: a cross-sectional study using national survey data.

Ran Zhang, Yun Lu, Liuyan Shi, Songlin Zhang, Feng Chang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Ran ZhangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.ORCID 0000-0002-4142-805X
Yun LuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Liuyan ShiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Songlin ZhangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Feng ChangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China cpucf@163.com.
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExamination of the prevalence and patterns of multimorbidity among the elderly in China.

designCross-sectional study.

settingMore than 10 000 households in 28 of the 34 provinces of mainland China.

participants11 707 Chinese adults aged 60 and over. PRIMARY OUTCOME MEASURES: Prevalence and patterns of multimorbidity among the participants. Relative risks were calculated to estimate the probability of up to 14 chronic conditions coexisting with each other. Observed-to-expected (O/E) ratios were used to analyse the patterns of multimorbidity.

resultsMultimorbidity was present in 43.6% of respondents from the sample population, with women having the greater prevalence compared with men. There were 804 different comorbidity combinations identified, including 76 dyad combinations and 169 triad combinations. The top 10 morbidity dyads and triads accounted for 69.01% and 47.05% of the total dyad and triad combinations observed, respectively. Among the 14 chronic conditions included in the study, asthma, stroke, heart attack and six other chronic conditions were the main components of multimorbidity due to their high relative risk ratios. The most frequently occurring clusters with higher O/E ratios were stroke along with emotional, nervous, or psychiatric problems; memory-related diseases together emotional, nervous, or psychiatric problems; and memory-related diseases and asthma accompanied by chronic lung diseases and asthma.

conclusionsThe results of this study highlight the high prevalence of multimorbidity in the elderly population in China. Further studies are required to understand the aetiology of multimorbidity, and future primary healthcare policies should be made while taking multimorbidity into consideration.

Indexed as

MultimorbidityAgedAged, 80 and overAge FactorsArthritisAsthmaChinaCross-Sectional StudiesFemaleHeart DiseasesHumansMaleMiddle AgedPrevalenceRisk FactorsSex FactorsChinacross-sectional studymultimorbidityobserved-to-expected ratioprevalence

Identifiers

PMID31427309
PMCPMC6701688
OpenAlexW2969983618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.