Evidence map›Paper›PMID 39462089›Full record

ArticleScientific reports2024

Trends in prevalence of hypertension and high-normal blood pressure among US adults, 1999-2018.

Ting Wang, Huizhen Liu, Xiaoqin Zhou, Changxi Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Ting WangDepartment of Clinical Research Management, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Huizhen LiuDepartment of Clinical Research Management, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Xiaoqin ZhouDepartment of Clinical Research Management, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Changxi WangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. changxi.wang@scu.edu.cn.

Funding

Med-X for informatics, Sichuan University YGJC006National Natural Science Foundation of China 12201441Sichuan Science and Technology Program 2023NSFSC1597
6 · The paper itself

Abstract

Hypertension and high-normal blood pressure (BP) increase the risk for cardiovascular diseases. Examining trends in hypertension and high-normal BP among US adults is crucial. Participants aged 20 years or older from the 1999-2018 National Health and Nutrition Examination Surveys, were included. Trend analyses were performed to assess temporal changes in prevalence of hypertension and high-normal BP among US adults. Among the 48,580 participants included in this analysis, the mean (SD) age was 47.2 years (18 years) and 50.9% were women. Age-adjusted prevalence of hypertension was stable from 1999 to 2000 (29.5% [95% CI 26.6-32.3%]) through 2017-2018 (31.9%, [95% CI 29.0-34.7%]) (P = 0.265 for linear trend). Age-adjusted prevalence of high-normal BP decreased from 10.9% (95% CI 9.4-12.5%) in 1999-2000 to 8.0% (95% CI 7.1-9.0%) in 2007-2008, then increased to 9.8% (95% CI 8.3-11.3%) in 2017-2018 (P = 0.002 for nonlinear trend). Compared with men, hypertension and high-normal BP was less likely among women (multivariable-adjusted prevalence ratio, 0.90 [95% CI 0.84-0.97]; 0.68 [95% CI 0.52-0.88], respectively). Compared with non-Hispanic Black, high-normal BP was less likely among Mexican American, non-Hispanic White, and other race (multivariable-adjusted prevalence ratio, 0.59 [95% CI 0.44-0.79]; 0.53 [95% CI 0.41-0.69]; 0.56 [95% CI 0.74 - 0.71], respectively). The same held for hypertension.

Indexed as

Blood PressureHypertensionNutrition SurveysAdultAgedFemaleHumansMaleMiddle AgedPrevalenceUnited StatesYoung Adult

Identifiers

PMID39462089
PMCPMC11513990

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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.