Evidence map›Paper›PMID 35177044›Full record

ArticleBMC public health2022

Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China.

Jikang Shi, Yanbo Guo, Zhen Li, Zhuoshuai Liang, Lingfeng Pan, Yang Yu, Wenfei Zhu, Aiyu Shao, Wenjun Chen, Chao Gao and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 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

13 authors at 2 institutions in 1 country.

Jikang ShiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yanbo GuoDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Zhen LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Zhuoshuai LiangDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Lingfeng PanDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yang YuThe Cardiovascular Center, The First Hospital of Jilin University, Changchun, 130021, Jilin, China.
Wenfei ZhuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Aiyu ShaoDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Wenjun ChenDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Chao GaoDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Siyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China. ywliu@jlu.edu.cn.
Yi ChengThe Cardiovascular Center, The First Hospital of Jilin University, Changchun, 130021, Jilin, China. chengyi@jlu.edu.cn.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity is defined as two or more chronic health conditions existing in an individual simultaneously. Multimorbidity has been associated with poor conditions, such as higher health care costs and the poor quality of life. Thus, identifying the risk factors of the multimorbidity is required for multimorbidity prevention.

methodsThis study was based on the Comprehensive Demonstration Research Project of Major Chronic Noncommunicable Disease Prevention and Control Technology in Northeast China initiated by China Medical University. The investigation was a cross-sectional study under a multistage stratified cluster random sampling design. Associations between multimorbidity and sociodemographic and behavioral factors in adult residents were investigated using univariate analysis and multivariate logistic regression analysis.

resultsA total of 6706 participants were enrolled in this investigation, and the prevalence of multimorbidity was 21.2% among the adult residents of northeastern China. There existed differences of association between age and multimorbidity risks (65-69 years old: OR = 3.53, 95%CI: 2.04-6.12; 70-74 years old: OR = 5.26, 95%CI: 3.02-9.17). Participants who are overweight had significantly high multimorbidity risk (OR = 2.76, 95%CI: 1.50-5.24). Family history of hypertension and family history of diabetes were significantly associated with high multimorbidity risk (family history of hypertension: OR = 2.34, 95%CI: 1.96-2.79; family history of diabetes: OR = 1.77, 95%CI: 1.38-2.26). Compared with the frequency of fatigue (< 1 time/week or 1-2 times/week), that (≥3 times/week) was associated with high multimorbidity risk (OR = 1.39, 95%CI: 1.07-1.81). For fresh fruit consumption, compared with eating fruits regularly, eating rarely had a higher risk of multimorbidity (OR = 2.33, 95%CI: 1.90-2.85).

conclusionsSociodemographic indices (age, BMI, family history of hypertension, and family history of diabetes) and behavioral indices (fatigue status and fresh fruit consumption) increase the risks of multimorbidity. This study provides a necessary route to prevent and control multimorbidity in northeast China.

Indexed as

Diabetes MellitusHypertensionAdultAgedChinaChronic DiseaseCross-Sectional StudiesFatigueHumansMultimorbidityPrevalenceQuality of LifeAdultsChinaInfluencing factorsMultimorbidity

Identifiers

PMID35177044
PMCPMC8855562
OpenAlexW4212788685

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.