Evidence map›Paper›PMID 39139414›Full record

ArticleReviews in cardiovascular medicine2024

Analysis of Related Factors Influencing Hypertension Classification among Centenarians in Hainan, China.

Jing Li, Jingfeng Bi, Shanshan Yang, Shengshu Wang, Shuwen Yang, Shimin Chen, Ke Han, Shengdong Luo, Qiyu Jiang, Miao Liu and 1 more

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jing LiDepartment of Infectious Diseases Medicine, The Fifth Medical Center of Chinese PLA General Hospital, 100039 Beijing, China.
Jingfeng BiDepartment of Infectious Diseases Medicine, The Fifth Medical Center of Chinese PLA General Hospital, 100039 Beijing, China.
Shanshan YangInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.
Shengshu WangInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.
Shuwen YangDepartment of Infectious Diseases Medicine, The Fifth Medical Center of Chinese PLA General Hospital, 100039 Beijing, China.
Shimin ChenInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.
Ke HanInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.
Shengdong LuoDepartment of Infectious Diseases Medicine, The Fifth Medical Center of Chinese PLA General Hospital, 100039 Beijing, China.
Qiyu JiangDepartment of Infectious Diseases Medicine, The Fifth Medical Center of Chinese PLA General Hospital, 100039 Beijing, China.
Miao LiuInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.
Yao HeInstitute of Geriatrics, Beijing Key Laboratory of Research on Aging and Related Diseases, National Clinical Research Center for Geriatrics Diseases, 100853 Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a population ages, blood pressure levels gradually increase, leading to a higher incidence of hypertension and increased cardiovascular diseases risk. This study examines factors affecting hypertension grading among centenarians in the Hainan Province. Methods: Data from 2014 to 2016 were accessed from the cross-sectional database "Hypertension Levels and Epidemiological Characteristics of the Elderly and Centenarians in Hainan province of China". This study included 690 centenarians with hypertension. Hypertension grading was the dependent variable, analyzed against independent variables including demographic information (sex, age, ethnicity, education level, marital status, cohabitation, and regional distribution), lifestyle factors (smoking, alcohol consumption, and physical activity), body mass index (BMI), and comorbid conditions (diabetes and hyperlipidemia). Logistic regression models, adjusted for these factors, were used to assess the determinants of hypertension grading among the participants. Results: Multivariate regression analysis, after adjusting for other variables, revealed significant associations between BMI, low-density lipoprotein (LDL) levels, and hypertension grades. Individuals with BMI below 18.5 Conclusions: A BMI below 18.5

Indexed as

centenarianshealthy aginghypertension

Identifiers

PMID39139414
PMCPMC11317323

What Socratic holds

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LicenceCC BY
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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.