Evidence map›Paper›PMID 31796891›Full record

ArticleScientific reports2019

Analysis of Dose-response Relationship between BMI and Hypertension in Northeastern China Using Restricted Cubic Spline Functions.

Yangming Qu, HuiKun Niu, Lu Li, Meiqi Li, Shoumeng Yan, Meng Li, Shan Jiang, Xiaoyu Ma, Bo Li, Hui Wu

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Exploratory thresholds for ambient PMBMC public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

10 authors.

Yangming QuDepartment of Neonatology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.
HuiKun NiuDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Lu LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Meiqi LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Shoumeng YanDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Meng LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Shan JiangDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Xiaoyu MaDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China.
Bo LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, 1163 Xinmin Street, Changchun, 130021, China. li_bo@jlu.edu.cn.
Hui WuDepartment of Neonatology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China. wuhui97@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High body mass index (BMI) was significantly associated with hypertension. The purpose of this study is to investigate the association between BMI and hypertension in people in northeast China. Our study was a cross-sectional study conducted from June to August 2012. According to multistage, stratified cluster sampling, a total of 21435 inhabitants aged between 18 and 79 years in Jilin Province were selected randomly. The prevalence of hypertension was 35.66% overall. After adjusting for potential confounders, the multivariable-adjusted odds ratios for the BMI- hypertension association for overweight and obesity were 2.503 (95% confidence interval = 1.912-2.204) and 4.259 (95% confidence interval = 3.883-4.671). The results of multivariable restricted cubic spline regression analysis showed that there was a non-linear relationship between the continuous change of BMI and hypertension (P < 0.001) after adjusting the confounding factors of different genders and age groups, which indicated that there was an adjusted dose-response association between continuous BMI and hypertension.

Indexed as

Body Mass IndexAdolescentAdultAgedChinaConfounding Factors, EpidemiologicCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedObesityOdds RatioOverweightPrevalence

Identifiers

PMID31796891
PMCPMC6890748

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.