Evidence map›Paper›PMID 33743180›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2021

Trajectories of body mass index and risk of incident hypertension among a normal body mass index population: A prospective cohort study.

Jiahui Xu, Rui Zhang, Rongrong Guo, Yali Wang, Yue Dai, Yanxia Xie, Jia Zheng, Zhaoqing Sun, Liying Xing, Yingxian Sun and 1 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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.

Jiahui XuDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Rui ZhangCollege of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Rongrong GuoDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yali WangDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yue DaiDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yanxia XieDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jia ZhengDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhaoqing SunDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.
Liying XingInstitute of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, China.ORCID 0000-0002-3301-3516
Yingxian SunDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-7961-4229
Liqiang ZhengDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0003-0101-9398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is unclear whether there are different body mass index (BMI) trajectories among a population with normal BMI levels, and the association between BMI patterns and incident hypertension is not well characterized. This prospective cohort study includes surveys conducted at baseline and three follow-ups. 3939 participants who are free of hypertension at baseline or first two follow-ups were enrolled. At baseline, the age of participants ranged from 35 to 82 years and the mean age was 45.9 years. The BMI trajectories were identified using latent mixture modeling with data from the baseline and first two follow-ups. The effects of different BMI trajectories on the development of hypertension were analyzed using a Cox proportional hazard model. Four distinct BMI trajectories were identified over the study period (2004-2010): normal-stable (n = 1456), normal-increasing (n = 2159), normal-fluctuated (n = 166), and normal-sharp-increasing (n = 158). Relative to the normal-stable BMI group, the hazard ratios (HRs) and 95% confidence intervals (CIs) after adjustment for confounding factors of the normal-increasing, normal-fluctuated, and normal-sharp-increasing groups were 1.244 (1.103-1.402), 1.331 (1.008-1.756), and 1.641 (1.257-2.142), respectively. Additionally, subgroup analysis showed that the normal-fluctuated BMI trajectory was associated with a significantly higher risk of hypertension only in women (HR = 1.362; 95% CI = 1.151-1.611). The BMI trajectories were significant predictors of hypertension incidence, and increasing BMI trajectories within the currently designated normal range were associated with an increased hypertension risk, especially in women.

Indexed as

HypertensionAdultAgedAged, 80 and overBody Mass IndexFemaleHumansIncidenceMiddle AgedProspective StudiesRisk Factorsbody mass indexepidemiologyhypertensionprospective cohort studytrajectory

Identifiers

PMID33743180
PMCPMC8678668

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.