Evidence map›Paper›PMID 39391484›Full record

ArticleHeliyon2024

Factors associated with suboptimal adherence to antihypertensive medication: Cross-sectional study using nationally representative databases.

Sangyong Jo, Taegyu Um, Jihye Shin, Dongchan Lee, Kyungil Park, Minkook Son

Abstract read
In one paragraph

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

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

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

6 authors.

Sangyong JoDivision of Cardiology, Department of Internal Medicine, Dong-A University College of Medicine, Busan, Republic of Korea.
Taegyu UmDepartment of Physiology, Dong-A University College of Medicine, Busan, Republic of Korea.
Jihye ShinDepartment of Physiology, Dong-A University College of Medicine, Busan, Republic of Korea.
Dongchan LeeNew York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, United States.
Kyungil ParkDivision of Cardiology, Department of Internal Medicine, Dong-A University College of Medicine, Busan, Republic of Korea.
Minkook SonDepartment of Physiology, Dong-A University College of Medicine, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suboptimal adherence to antihypertensive medication is a major challenge in controlling blood pressure. However, limited studies exist on suboptimal adherence to hypertension, especially in Korea. This study investigates factors associated with suboptimal adherence, including non-treatment and non-adherence. Study populations were collected from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2007 to 2021. Participants were classified into three groups based on treatment and adherence to antihypertensive medication using a self-reported questionnaire. Multivariable adjusted logistic regression analysis was performed using KNHANES data to investigate associations for suboptimal adherence with covariates. In KNHANES, the adherent, non-adherent, and non-treatment groups consisted of 13,831 (92.8 %), 460 (3.1 %), and 612 (4.1 %) subjects, respectively. In the adjusted model, age, hypertension diagnosis duration, diabetes, dyslipidemia, and high hemoglobin levels were associated with receiving treatment. Older age, longer hypertension diagnosis duration, comorbid diabetes mellitus, and ischemic heart disease were associated with adherence. This study showed the characteristics of non-adherent and non-treatment hypertensive patient groups in Korea. Based on this study, further individualized health interventions are required.

Indexed as

HypertensionKoreaTherapyTreatment adherence and compliance

Identifiers

PMID39391484
PMCPMC11466572

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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 OpenQuestion graph.