Evidence map›Paper›PMID 34733558›Full record

ArticleInternational journal of hypertension2021

Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults.

Wenwen Wu, Jie Diao, Jinru Yang, Donghan Sun, Ying Wang, Ziling Ni, Fen Yang, Xiaodong Tan, Ling Li, Li Li

Open access · goldAbstract read
In one paragraph

Article in International journal of hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-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

3 citing papers in PubMed, 10 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 6 institutions in 2 countries.

Wenwen WuInstitute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China.ORCID https://orcid.org/0000-0002-7465-6606
Jie DiaoSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID https://orcid.org/0000-0002-1359-0287
Jinru YangTongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID https://orcid.org/0000-0002-8838-5587
Donghan SunInstitute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China.ORCID https://orcid.org/0000-0003-4809-6964
Ying WangDepartment of Nosocomial Infection Management, Wuhan University Zhongnan Hospital, Wuhan 430071, Hubei, China.ORCID https://orcid.org/0000-0003-2094-9347
Ziling NiSchool of Medicine, Hangzhou Normal University, Hangzhou 311121, China.ORCID https://orcid.org/0000-0002-3191-4505
Fen YangCollege of Nursing, Hubei University of Chinese Medicine, Wuhan 430065, China.ORCID https://orcid.org/0000-0003-1188-4967
Xiaodong TanSchool of Health Sciences, Wuhan University, Wuhan 430071, China.ORCID https://orcid.org/0000-0002-8190-6060
Ling LiNursing Department, Dongfeng Hospital, Hubei University of Medicine, Shiyan 442000, China.ORCID https://orcid.org/0000-0003-3432-2596
Li LiInstitute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China.ORCID https://orcid.org/0000-0002-4452-504X
Hubei University of Medicine · CNWuhan University · CNHangzhou Normal University · CNHuazhong University of Science and Technology · CNHubei University of Chinese Medicine · CNUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults.

methodsA cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH.

resultsThe total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (

conclusionCDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.

Identifiers

PMID34733558
PMCPMC8560290
OpenAlexW3209826929

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.