Evidence map›Paper›PMID 33514347›Full record

ArticleBMC public health2021

Distribution of risk factors of hypertension patients in different age groups in Tianjin.

Yingyi Zhang, Hua Yang, Min Ren, Ruiying Wang, Fumei Zhao, Ting Liu, Ying Zhang, Zhigang Guo, Hongliang Cong

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Association between anthropometric indices and 5-year hypertension incidence in the general Japanese population.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Involvement of AGE and Its Receptors in the Pathogenesis of Hypertension in Elderly People and Its Treatment.The International journal of angiology : official publication of the International College of Angiology, Inc · 2022
    Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Spatial Variations in the Risk Factors of Hypertension Across Different Age Groups in Indian Adults: Insights from the Fifth Round of NFHS (2019-21).Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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 1 institution in 1 country.

Yingyi Zhang *Department of Cardiology, Tianjin Chest Hospital, No. 261 of Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
Hua Yang *Department of Cardiology, Tianjin Chest Hospital, No. 261 of Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
Min RenTianjin Cardiovascular Institute, Tianjin, 300222, China.
Ruiying WangDepartment of Cardiology, Tianjin Chest Hospital, No. 261 of Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
Fumei ZhaoTianjin Cardiovascular Institute, Tianjin, 300222, China.
Ting LiuTianjin Cardiovascular Institute, Tianjin, 300222, China.
Ying ZhangTianjin Cardiovascular Institute, Tianjin, 300222, China.
Zhigang GuoDepartment of Cardiology, Tianjin Chest Hospital, No. 261 of Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
Hongliang CongDepartment of Cardiology, Tianjin Chest Hospital, No. 261 of Taierzhuang South Road, Jinnan District, Tianjin, 300222, China. conghongliang789@163.com.
Tianjin Chest Hospital · CN

Funding

Department of Science and Technology of Tianjin city 15ZXHLSY00320 and 16ZXMJSY00140
6 · The paper itself

Abstract

backgroundTo analyze the risk factors for hypertension in different age groups of urban and rural residents in Tianjin.

methodsA total of 33,997 people (35-75 years old) from 13 community health service centers and primary hospitals in Tianjin participated in this study. They were divided into the youth group (≤ 40 years old), middle-aged group (41-65 years old), and elderly group (> 65 years old). Then, a questionnaire survey was administered, followed by physical and blood biochemical examinations. The demographic characteristics and prevalence were recorded and counted. Subsequently, risk factors were analyzed using univariate and stepwise multivariate logistic regression analysis.

resultsIn the youth, middle-aged, and elderly groups, the prevalence rate of hypertension was 18.65, 51.80, and 76.61%, respectively. Logistic regression analysis showed that obesity(OR: 3.263, 95% CI: 1.039-1.656), men (OR: 2.117, 95% CI: 1.691-2.651), diabetes (OR: 1.978, 95% CI: 1.398-2.799), high triglycerides(OR 1.968 95% CI: 1.590-2.434) and family history of stroke (OR: 1.936, 95% CI: 1.287-2.911) are the five factors in youth. In middle-aged group, the significantly associating factors were obesity (OR: 2.478, 95% CI: 2.330-2.636), diabetes (OR: 2.173, 95% CI: 1.398-2.799), family history of stroke (OR: 1.808, 95% CI: 1.619-2.020), maleness (OR: 1.507, 95% CI: 1.412-1.609),Hypertriglyceridemia (OR 1.490 95% CI: 1.409-1.577),family history of cardiovascular disease (OR: 1.484, 95% CI: 1.307-1.684),Hypercholesterolemia (OR 1.228 95% CI: 1.160-1.299). In the elderly group, obesity (OR: 2.104, 95% CI: 1.830-2.418), family history of strokes (OR: 1.688, 95% CI: 1.243-2.292), diabetes mellitus (OR: 1.544, 95% CI: 1.345-1.773), family history of cardiovascular disease (OR: 1.470, 95% CI: 1.061-2.036), hypertriglyceridemia (OR: 1.348, 95% CI: 1.192-1.524) increased the risk for hypertension. Waist circumference (WC) and waist-to-height ratio (WHtR) increased with age, and the value of these two measures for predicting hypertension was better than BMI in middle-aged group.

conclusionObesity is the most important risk factor for hypertension in all age groups. Diabetes, family history of strokes and high triglyceride were also significant risk factors for all age groups. There was a gender difference between the young and middle-aged groups, with men more likely to hypertension. Waist circumference (WC) and waist-to-height ratio (WHtR) were better predictors of hypertension than BMI in middle-aged group.

Indexed as

HypertensionWaist-Height RatioAdolescentAdultAgedBody Mass IndexCross-Sectional StudiesHumansMaleMiddle AgedPrevalenceRisk FactorsWaist CircumferenceWaist-Hip RatioAwareness rateDifferent age groupsHypertensionRisk factorsWaist-to-height ratio

Identifiers

PMID33514347
PMCPMC7846994
OpenAlexW3122547482

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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.