Evidence map›Paper›PMID 32572273›Full record

ArticleJournal of human hypertension2021

The U-shaped association of altitudes with prevalence of hypertension among residents in Tibet, China.

Labasangzhu Labasangzhu, Ruiyuan Zhang, Yanling Qi, Luqi Shen, Ouzhu Luobu, Zhaxi Dawa, Changwei Li

Abstract read
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In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence of hypertension and its relationship with altitude in highland areas: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Observational
  9. Article
  10. Identification of tourists' dynamic risk perception-the situation in Tibet.Humanities & social sciences communications · 2022
    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.

Labasangzhu Labasangzhu *Department of Preventive Medicine, Tibet University Medical College, Lhasa, Tibet, China.ORCID http://orcid.org/0000-0002-1473-5644
Ruiyuan ZhangDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA, USA. ruiyuan.zhang@uga.edu.ORCID http://orcid.org/0000-0002-4639-3300
Yanling QiDepartment of Health Care Administration, College of Health and Human Services, California State University, Long Beach, 1250 Bellflower Boulevard, Long Beach, CA, USA.ORCID http://orcid.org/0000-0002-7050-5034
Luqi ShenDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA, USA.
Ouzhu LuobuDepartment of Clinical Medicine, Tibet University Medical College, Lhasa, Tibet, China.
Zhaxi DawaDepartment of Preventive Medicine, Tibet University Medical College, Lhasa, Tibet, China.
Changwei LiDepartment of Epidemiology and Biostatistics, University of Georgia College of Public Health, Athens, GA, USA. changwei.li@uga.edu.ORCID http://orcid.org/0000-0002-9203-304X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate the association of altitudes with the prevalence of hypertension among residents aged 15 years and above in Tibet, China. Data for 11,407 Tibetan residents from the National Health Services Survey in 2013 were analyzed. Association between altitudes and prevalence of physician-diagnosed hypertension was assessed by two logistic regression models as follows: (i) a base model adjusted for age and gender, and (ii) a full model additionally adjusted for body mass index, education, marital status, area of residence, distance to the nearest medical institute, smoking, drinking, and exercise. Nonlinear relationship between altitudes and prevalence of hypertension was explored by restricted cubic spline analyses. Sensitivity analyses were conducted by restricting to residents of rural and/or nomadic areas. The prevalence of hypertension was estimated to be 37.6%. We found a U-shaped association between altitudes and prevalence of physician-diagnosed hypertension with a turning point at around 3800 m (12,467 ft). For residents living above 3800 m, a 1000 m increase in altitudes was associated with 2.05 (95% confidence interval [CI]: 1.62-2.61) times higher odds of having physician-diagnosed hypertension, after adjusting for age and gender. When further controlling for all covariates, the odds ratio (OR) dropped to 1.87 (95% CI: 1.46-2.41). For residents living below 3800 m, a 1000 m increase was associated with 0.29 (95% CI: 0.19-0.44) times less likelihood of having physician-diagnosed hypertension in the full model. Sensitivity analyses among residents in rural and/or nomadic areas showed similar associations. To conclude, altitudes were in a U-shaped association with prevalence of hypertension.

Indexed as

AltitudeHypertensionChinaCross-Sectional StudiesHumansPrevalenceRisk FactorsTibet

Identifiers

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Read underepoch 390

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.