Evidence map›Paper›PMID 27663794›Full record

ArticleBMC cardiovascular disorders2016

The interaction effects of risk factors for hypertension in adults: a cross-sectional survey in Guilin, China.

Jian Yu, Di-Sha Zou, Meng-Ting Xie, Yao Ye, Tian-Peng Zheng, Su-Xian Zhou, Li-Li Huang, Xiao-Ling Liu, Jing-Qiong Xun, Yan Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2016. 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
0.5field-weighted citation impact, top 29% 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, 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 1 institution in 1 country.

Jian YuDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Di-Sha ZouThe Graduate School of Guilin Medical University, Guilin, 541001, China.
Meng-Ting XieThe Graduate School of Guilin Medical University, Guilin, 541001, China.
Yao YeThe Graduate School of Guilin Medical University, Guilin, 541001, China.
Tian-Peng ZhengDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Su-Xian ZhouDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Li-Li HuangDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Xiao-Ling LiuDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Jing-Qiong XunDepartment of Endocrinology, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Yan ZhouDepartment of Respiratory Medicine, The Affiliated Hospital of Guilin Medical University, Guilin, 541001, China. 1808786118@qq.com.ORCID http://orcid.org/0000-0001-6173-3628
Guilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of hypertension in adults is increasing each year and has become a main public health issue worldwide. We must consider the impact of both individual factors and interactions among these factors on hypertension in adults. This study was designed to elucidate the clinical and metabolic characteristics of the prevalence of hypertension in adults and to explore the risk factors and interactions among these factors in adults with hypertension.

methodsWe used overall random sampling to conduct a cross-sectional survey of 6660 individuals undergoing a health check from July to November 2012, the subjects were aged 20 to 89 years, including 3480 men and 3180 women. The survey content included a questionnaire, anthropometry, laboratory measurements, and liver Doppler ultrasonography. The clinical and metabolic characteristics were compared between the cases (adult hypertensive patients) and the controls (normotensives). The classification tree model and the non-conditional logistic regression were used to analyze the interactions of risk factors for hypertension in adults.

resultsIn total, 1623 adult hypertensive patients (940 men and 683 women) were detected. The results showed that adult hypertensive patients were older and had higher levels of systolic blood pressure, diastolic blood pressure, body mass index, fasting plasma glucose, uric acid, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and prevalence of non-alcoholic fatty liver disease (P < 0.001). The classification tree model comprising 5 layers, 39 nodes, and 20 terminal nodes showed that two variables, age and BMI, were closely related to hypertension in adults. The area under the receiver operating characteristic curve for classification tree model was 81.6 % (95 % CI: 80.6 % ~ 82.5 %). Both univariate and multivariate logistic regression analyses revealed that advanced age and high BMI had a significant positive interaction in terms of hypertension in adults. After controlling for confounding factors, the percentage of attributed interaction was 47.62 %.

conclusionsThis study showed that age, BMI, UA, TG, and TC were closely associated with the risk of hypertension in adults, and the positive interaction effect between advanced age and high BMI was an important risk factor for the prevalence of hypertension in adults.

Indexed as

Hypertension in adultsInteractionRisk factor

Identifiers

PMID27663794
PMCPMC5035478
OpenAlexW2522439573

What OpenQuestion holds

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LicenceCC BY
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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.