Evidence map›Paper›PMID 29548314›Full record

ArticleBMC public health2018

The prevalence of alcohol dependence and its association with hypertension: a population-based cross-sectional study4 in Xuzhou city, China.

Ailing Ji, Peian Lou, Zongmei Dong, Chunrong Xu, Pan Zhang, Guiqiu Chang, Ting Li

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Traditional Chinese Patent Medicine for Primary Hypertension: A Bayesian Network Meta-Analysis.Evidence-based complementary and alternative medicine : eCAM · 2020
    Article
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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

7 authors at 2 institutions in 1 country.

Ailing JiDepartment of Internal Neurology, Xuzhou Third People's Hospital, 131 Huancheng Road, Xuzhou, China.
Peian LouDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, Jiangsu, 221000, China. lpa82835415@126.com.ORCID 0000-0001-7551-0206
Zongmei DongDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, Jiangsu, 221000, China.
Chunrong XuDepartment of Internal Neurology, Xuzhou Third People's Hospital, 131 Huancheng Road, Xuzhou, China.
Pan ZhangDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, Jiangsu, 221000, China.
Guiqiu ChangDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, Jiangsu, 221000, China.
Ting LiDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, Jiangsu, 221000, China.
Jiangsu University · CNXuzhou Medical College · CN

Funding

Xuzhou City Science and Technology Plan Project XM08C041
6 · The paper itself

Abstract

backgroundTo describe the prevalence of alcohol dependence and to explore the relationship between alcohol dependence and newly detected hypertension in China.

methodsA multistage stratified cluster sampling method was used to obtain samples from February to June 2013. The Michigan Alcoholism Screening Test was used to estimate alcohol dependence level. A standard questionnaire measured other independent variables. Enumeration data were analyzed using chi-square; quantitative data were analyzed using t-tests. Spearman correlation analysis and multivariate logistic regression analysis were performed to identify the relationship between alcohol dependence and hypertension.

resultsThe alcohol dependence rate was 11.56%; 22.02% of males (3854/17501) and 1.74% of females (324/18656) were classified as alcohol dependent. The newly detected hypertension rate was 9.46% (3422/36157). Significant associations were found between alcohol dependence levels and blood pressure (P < 0.01). Alcohol dependence was positively correlated with systolic blood pressure (r = 0.071, P < 0.01) and diastolic blood pressure (r = 0.077, P < 0.01) and was an independent risk factor for hypertension after adjusting for confounders (low alcohol dependence: odds ratio [OR] = 1.44, 95% confidence intervals [CI] = 1.14-1.81, P < 0.01; light alcohol dependence: OR = 1.35, 95% CI = 1.11-1.64, P < 0.01; medium alcohol dependence: OR = 1.83, 95% CI = 1.40-2.41, P < 0.01).

conclusionAlcohol dependence was high and associated with hypertension. Health education and precautions against alcoholism should be implemented in Xuzhou city.

Indexed as

AdolescentAdultAgedAlcoholismChinaCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesYoung AdultAlcohol dependenceCross-sectional studyHypertension

Identifiers

PMID29548314
PMCPMC5857079
OpenAlexW2800916955

What OpenQuestion holds

Textmetadata
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.