Evidence map›Paper›PMID 39238781›Full record

ArticlePreventive medicine reports2024

Dose-response relationship between body mass index and hypertension: A cross-sectional study from Eastern China.

Lei Yuan, Chen Qu, Jinhang Zhao, Lijun Lu, Jiaping Chen, Yan Xu, Xiaoning Li, Tao Mao, Guoping Yang, Shiqi Zhen and 1 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

11 authors.

Lei YuanDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China.
Chen QuDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Jinhang ZhaoDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China.
Lijun LuDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China.
Jiaping ChenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China.
Yan XuDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Xiaoning LiDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Tao MaoDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Guoping YangDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Shiqi ZhenDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Sijun LiuDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A high body mass index (BMI) increases the risk of hypertension. However, little is known about the dose-dependent association between BMI and hypertension. Therefore, this study investigated the prevalence of hypertension in 7568 subjects from the Jiangsu Province, Eastern China, and analyzed the dose-response relationship between BMI and hypertension risk. Methods: The eligible subjects completed a structured questionnaire and clinical biochemical indicators were measured according to standardized protocols. Multivariate logistic regression models were used to evaluate the association between BMI and hypertension. Restricted cubic spline (RCS) analysis was used to analyze the dose-response relationship between BMI and hypertension risk. Moreover, sensitivity analysis was performed to verify the robustness of our findings. Results: The prevalence of hypertension was 35.3 % in the total population. BMI was significantly associated with systolic and diastolic blood pressure. The fully-adjusted odds ratio (OR) with 95 % confidence interval (CI) for hypertension was 1.17 (1.15, 1.19) for every 1 kg/m Conclusion: Our study demonstrated a positive and linear dose-response relationship between BMI and the risk of hypertension. The results of this study provide evidence for BMI-related clinical interventions to reduce the risk of hypertension.

Indexed as

Body mass indexDose-responseHypertensionRestricted cubic spline

Identifiers

PMID39238781
PMCPMC11372613

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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.