Evidence mapPaperPMID 35115653Full record

ArticleInternational journal of obesity (2005)2022

Gender-specific predictive ability for the risk of hypertension incidence related to baseline level or trajectories of adiposity indices: a cohort study of functional community.

Ya-Ke Lu, Jing Dong, Yue Sun, Li-Kun Hu, Yu-Hong Liu, Xi Chu, Yu-Xiang Yan

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Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Correlation between obesity-related indices and hypertension.American journal of translational research · 2024
    Article
  3. Article
  4. 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

7 authors at 1 institution in 1 country.

Ya-Ke Lu *Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Jing Dong *Physical Examination Center, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yue SunDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Li-Kun HuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Yu-Hong LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Xi ChuPhysical Examination Center, Xuanwu Hospital, Capital Medical University, Beijing, China. cissy9007@163.com.ORCID http://orcid.org/0000-0001-8603-0267
Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China. yanyxepi@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-2234-1298
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly prevention of hypertension is important for global cardiovascular disease morbidity and mortality. This study aims to explore better predictors for hypertension incidence related to baseline level or trajectories of adiposity indices, as well as the gender-specific effect.

methods6085 subjects from a functional community cohort in urban Beijing participated in our study. Restricted cubic splines were used to estimate nonlinear associations of body mass index (BMI) and waist-to-height ratio (WHtR) as continuous variable with risk of hypertension. Stepwise logistic regression model was performed to estimate the relative risks (RRs) of adiposity indices and metabolic status, adjusted for covariates. Nomogram models and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive power of BMI trajectory groups and WHtR trajectory groups on hypertension incidence. Further, all analysis were performed by gender.

resultsThe risk of hypertension incidence was related to BMI trajectory groups (persistent overweight: RR = 1.88, 95% CI: 1.48-2.37; persistent obesity: RR = 2.79, 95% CI: 2.18-3.56; persistent the highest: RR = 4.30, 95% CI: 3.20-5.78) and WHtR trajectory groups (persistent medium: RR = 2.69, 95% CI: 2.07-3.50; persistent high: RR = 3.85, 95% CI: 2.92-5.09; increasing to higher: RR = 7.00, 95% CI: 4.96-9.89). In total population, BMI trajectories and WHtR trajectories showed similar ability to predict the risk of hypertension incidence with AUC 0.723 and 0.726, respectively. After stratified by gender, both BMI trajectories and WHtR trajectories showed higher power in female than male (BMI trajectories: 0.762 vs. 0.661; WHtR trajectories: 0.768 vs. 0.661).

conclusionsBMI and WHtR trajectories have higher predictive power for hypertension incidence compared to baseline data. Females are more vulnerable to obesity than males.

Indexed as

AdiposityHypertensionBody Mass IndexCohort StudiesFemaleHumansIncidenceMaleObesityPredictive Value of TestsRisk FactorsROC CurveWaist Circumference

Identifiers

PMID35115653
OpenAlexW4210811466

What Socratic holds

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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 Socratic graph.