Evidence map›Paper›PMID 35188335›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

High waist circumference is a risk factor of new-onset hypertension: Evidence from the China Health and Retirement Longitudinal Study.

Jin-Yu Sun, Yong-Xiang Ma, Heng-Li Liu, Qiang Qu, Chen Cheng, Xiang-Qing Kong, Wen-Jun Huang, Wei Sun

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

8 authors.

Jin-Yu SunThe Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China.
Yong-Xiang MaThe Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China.
Heng-Li LiuDepartment of Cardiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Qiang QuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chen ChengDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiang-Qing KongDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wen-Jun HuangThe Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China.
Wei SunDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0003-1204-3131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the association between waist circumference and the development of hypertension based on a nationwide cohort Chinese population. A total of 5330 individuals free of hypertension at baseline were collected from the China Health and Retirement Longitudinal Study. The association between waist circumference and the development of hypertension was analyzed by an adjusted cox regression model and visualized by restricted cubic splines. Further, we applied the supervised machine learning methods to evaluate the importance of multiple variates for new-onset hypertension. Additionally, the robustness of the association was assessed by a subgroup analysis. A total of 1490 individuals (28.0%) developed hypertension during a mean follow-up of 3.32 years. The new-onset hypertension was more observed in those with increased waist circumference (P for trend < .001). In the fully adjusted Cox regression, each 10 cm increase of waist circumference would result in an 18% elevated risk of hypertension. The random forest method and the Extreme Gradient Boosting method revealed waist circumference as an important feature to predict the development of hypertension. The sensitivity analysis indicated a consistent trend between waist circumference and new-onset hypertension in all BMI categories. This study suggested high waist circumference as an independent risk factor for new-onset hypertension based on a nationwide cohort of Chinese adults aged ≥45 years old. Our results supported that waist circumference should be routinely measured.

Indexed as

HypertensionAdultBody Mass IndexChinaHumansLongitudinal StudiesMiddle AgedRetirementRisk FactorsWaist Circumferencebody mass indexhypertensionnormal-weight obesitywaist circumference

Identifiers

PMID35188335
PMCPMC8924994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.