Evidence map›Paper›PMID 29601569›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study.

Qing Wang, Zhuoqun Wang, Wei Yao, Xianming Wu, Jingjing Huang, Lei Huang, Yuemin Sun

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Willingness to Pay for Blood Pressure Self-Monitoring in People With Prehypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2026
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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.

Qing WangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Zhuoqun WangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Wei YaoDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Xianming WuDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Jingjing HuangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Lei HuangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Yuemin SunDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aims of this study were to investigate the relationship between optimal anthropometric indices and their cut-off values and the incidence of hypertension in a cohort of middle-aged women in China. MATERIAL AND METHODS A cohort of 812 women, aged between 40-70 years were recruited between May 2011 and June 2013. An ideal baseline blood pressure was defined as <120/80 mmHg; pre-hypertension was 120-139/80-89 mmHg; hypertension was ≥140/≥90 mmHg. Anthropometric measurements included waist circumference (WC), body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR). The cohort was divided into an ideal blood pressure group (Group 1) and a pre-hypertensive group (Group 2). Two-year follow-up blood pressure measurements were performed. Receiver-operating characteristic (ROC) curve analysis determined the optimal anthropometric indices and cut-off values for developing hypertension. RESULTS At two-year follow-up, hypertension developed in 9.0% (n=31) in Group 1 and 32.3% (n=121) in Group 2. Logistic regression analysis showed that in both groups, women in the highest quartile for WC, BMI, WHR, and WHtR had a significantly increased risk of developing hypertension compared with the lowest quartile (P<0.05). ROC curve area under the curve (AUC) for these anthropometric indices were greater in Group 1, and for WC in Groups 1 and 2, with the optimal cut-off values greater in Group 1. CONCLUSIONS In a cohort of middle-aged women in China, anthropometric indices of obesity were predictive of the development of hypertension during a two-year follow-up period.

Indexed as

AdultAgedAnthropometryBlood PressureBody HeightBody Mass IndexBody Weights and MeasuresChinaCohort StudiesFemaleHumansHypertensionMiddle AgedObesityProspective StudiesRisk Factors

Identifiers

PMID29601569
PMCPMC5892460

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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.