Evidence map›Paper›PMID 39678236›Full record

ArticleFrontiers in public health2024

Impact of intensive hypertension criteria on multimorbidity prevalence and patterns in a multi-ethnic Chinese population.

Yezhou Liu, Baibing Mi, Leilei Pei, Shaonong Dang, Hong Yan, Chao Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Yezhou LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Baibing MiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Leilei PeiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Shaonong DangDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Hong YanDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Chao LiDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of intensive hypertension criteria on multimorbidity prevalence and patterns remains understudied. We investigated the prevalence and patterns of multimorbidity using both the current (140/90 mmHg) and intensive (130/80 mmHg) hypertension criteria within a multi-ethnic Chinese population. Methods: Data were obtained from the baseline survey of the Regional Ethnic Cohort Study in Northwest China, conducted from June 2018 to May 2019, which enrolled adults aged 35-74 years from five provinces. A total of 114,299 participants were included in this study. Multimorbidity was defined as the presence of at least two chronic diseases or conditions from a list of 26, ascertained through self-report and physical examination. Agglomerative hierarchical cluster analysis was employed to identify multimorbidity patterns. A hypertension-related multimorbidity pattern was identified and further analyzed. The prevalence of multimorbidity and hypertension-related pattern were analyzed in different subgroups, and subgroup cluster analyses were conducted stratified by sex, age, and ethnicity. Results: Applying the intensive 130/80 mmHg hypertension criteria resulted in an increase in multimorbidity prevalence from 17.6% (20,128 participants) to 21.7% (24,805 participants) compared to the 140/90 mmHg criteria. Four distinct multimorbidity patterns were consistently identified: cardiometabolic, digestive-bone-kidney, respiratory, and mental-cancer. Hypertension consistently clustered within the cardiometabolic pattern alongside diabetes, acute myocardial infarction, angina, and stroke/TIA, with relatively stable proportions observed even under the 130/80 mmHg threshold. Conclusion: The revision of hypertension criteria significantly expands the population identified as having multimorbidity, without altering the identified multimorbidity patterns. Hypertension commonly co-occurs within the cardiometabolic cluster. These findings highlight the need for improved treatment and management strategies specifically targeting cardiometabolic multimorbidity.

Indexed as

HypertensionMultimorbidityAdultAgedChinaCohort StudiesEast Asian PeopleEthnicityFemaleHumansMaleMiddle AgedPrevalenceblood pressurecardiometabolic clusterhypertension criteria revisionmultimorbiditymultimorbidity pattern

Identifiers

PMID39678236
PMCPMC11638201

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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.