Evidence map›Paper›PMID 35409487›Full record

ArticleInternational journal of environmental research and public health2022

Association between Drinking Patterns and Incident Hypertension in Southwest China.

Yawen Wang, Yuntong Yao, Yun Chen, Jie Zhou, Yanli Wu, Chaowei Fu, Na Wang, Tao Liu, Kelin Xu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Susceptibility to hypertension based onFrontiers in cardiovascular medicine · 2023
    Article
  8. Article
  9. Article
  10. Findings from a Nationwide Study on Alcohol Consumption Patterns in an Upper Middle-Income Country.International journal of environmental research and public health · 2022
    Article
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

9 authors at 2 institutions in 1 country.

Yawen WangKey Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Department of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.
Yuntong YaoGuizhou Province Centre for Disease Control and Prevention, 101 Bageyan Road, Yunyan District, Guiyang 550004, China.
Yun ChenKey Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0002-2516-0946
Jie ZhouGuizhou Province Centre for Disease Control and Prevention, 101 Bageyan Road, Yunyan District, Guiyang 550004, China.
Yanli WuGuizhou Province Centre for Disease Control and Prevention, 101 Bageyan Road, Yunyan District, Guiyang 550004, China.
Chaowei FuKey Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0003-0966-8552
Na WangKey Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0003-0806-4247
Tao LiuGuizhou Province Centre for Disease Control and Prevention, 101 Bageyan Road, Yunyan District, Guiyang 550004, China.
Kelin XuKey Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Department of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0002-6788-4256
Fudan University · CNGuizhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on a prospective cohort study of adults from southwest China with heterogeneity in their demographical characteristics and lifestyles, we aimed to explore the association between drinking patterns and incident hypertension under the interaction of these confounding factors. The Cox proportional hazard model was used to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI). Subgroup analysis was performed according to sex, ethnicity, area, occupation, smoking, and exercise to compare the differences in the association between drinking patterns and the incidence of hypertension. Blood pressure was higher in participants with a high drinking frequency than those with a low drinking frequency (p < 0.001). We found that total drinking frequency, liquor drinking frequency, rice wine drinking frequency, and alcohol consumption were significantly associated with an increased risk of hypertension. Compared with the non-drinking group, a heavy drinking pattern was positively correlated with hypertension. Drinking can increase the risk of hypertension, especially heavy drinking patterns, with a high frequency of alcohol intake and high alcohol consumption. From the analysis results of the longitudinal data, drinking alcohol is still an important risk factor for hypertension among Chinese subjects, especially for men, the rural population, the employed, the Han nationality, smokers, and certain exercise populations.

Indexed as

Alcohol DrinkingHypertensionAdultAlcoholic BeveragesChinaHumansIncidenceMaleProspective StudiesRisk Factorsalcohol consumptioncohort studydrinking frequencyhypertensioninteraction effect

Identifiers

PMID35409487
PMCPMC8997936
OpenAlexW4223550518

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.