Evidence map›Paper›PMID 29788961›Full record

ArticleHealth and quality of life outcomes2018

Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study.

Yu-Mi Lee, Rock Bum Kim, Hey Jean Lee, Keonyeop Kim, Min-Ho Shin, Hyeung-Keun Park, Soon-Ki Ahn, So Young Kim, Young-Hoon Lee, Byoung-Gwon Kim and 5 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Health and quality of life outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

15 authors.

Yu-Mi LeeDepartment of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Rock Bum KimGyeongnam Regional Cardiocerebrovascular Disease Center, Gyeongsang National University Hospital, Jinju, South Korea.
Hey Jean LeeGangwon Regional Cardiocerebrovascular Disease Center, Kangwon National University Hospital, Chuncheon, South Korea.
Keonyeop KimDepartment of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Min-Ho ShinDepartment of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea.
Hyeung-Keun ParkJeju Regional Cardiocerebrovascular Disease Center, Jeju National University Hospital, Jeju, South Korea.
Soon-Ki AhnDaejeon-Chungnam Regional Cardiocerebrovascular Center, Chungnam National University Hospital, Daejeon, South Korea.
So Young KimChungbuk Regional Cardiocerebrovascular Disease Center, Chungbuk National University Hospital, Cheongju, South Korea.
Young-Hoon LeeDepartment of Preventive Medicine &Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, South Korea.
Byoung-Gwon KimBusan-Ulsan Regional Cardiocerebrovascular Disease Center, Dong-A University Hospital, Busan, South Korea.
Heeyoung LeeCenter for preventive medicine and public health, Seoul National University Bundang Hospital, Seongnam, South Korea.
Won Kyung LeeDepartment of Social and Preventive Medicine, Inha University School of Medicine, Incheon, South Korea.
Kun Sei LeeDepartment of Preventive Medicine, School of Medicine, Konkuk University, Seoul, South Korea.
Mi-Ji KimDepartment of Preventive Medicine, College of Medicine and Institute of Health Science, Gyeongsang National University, 15 Jinju-daero, 816 Beon-gil, Jinju, 52727, South Korea.
Ki-Soo ParkDepartment of Preventive Medicine, College of Medicine and Institute of Health Science, Gyeongsang National University, 15 Jinju-daero, 816 Beon-gil, Jinju, 52727, South Korea. kisoo1030@gmail.com.ORCID http://orcid.org/0000-0001-5571-3639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe healthy adherer effect is a phenomenon in which patients who adhere to medical therapies tend to pursue health-seeking behaviors. Although the healthy adherer effect is supposed to affect health outcomes in patients with coronary artery disease, evaluation of its presence and extent is not easy. This study aimed to assess the relationship between medication adherence and lifestyle modifications and health-related quality of life among post-acute myocardial infarction (AMI) patients.

methodsA cross-sectional study was conducted in 417 post-AMI patients who underwent percutaneous coronary intervention (PCI). Patients were recruited from 11 university hospitals from December 2015 to March 2016 in South Korea. Details regarding socio-demographic factors, six health behaviors (low-salt intake, low-fat diet and/or weight-loss diet, regular exercise, stress reduction in daily life, drinking in moderation, and smoking cessation), medication adherence using the Modified Morisky Scale (MMS), and HRQoL using the Coronary Revascularization Outcome Questionnaire (CROQ) were surveyed in a one-on-one interview.

resultsIn the univariate logistic analysis, sex (female), age (≥70 years), MMS score (≥5), and CROQ score were associated with adherence to lifestyle modification. In the multiple logistic analysis, a high MMS score (≥5) was associated with adherence to lifestyle modification after adjusting for sex, age, marital status, education, and family income (adjusted odds ratio [OR] = 11.7, 95% confidence interval [CI] = 1.5-91.3). After further adjusting for the CROQ score, the association between high MMS score and adherence to lifestyle modification was significant (adjusted OR = 11.5, 95% CI = 1.4-93.3).

conclusionsAdherence to medication was associated with adherence to lifestyle modification, suggesting the possible presence of the healthy adherer effect in post-AMI patients. After further adjusting for HRQoL, the association remained. To improve health outcome in post-AMI patients, early detection of patients with poor adherence to medication and lifestyle modification and motivational education programs to improve adherence are important. In addition, the healthy adherer effect should be considered in clinical research, in particular, in studies evaluating the effects of therapies on health outcomes.

Indexed as

Healthy LifestyleQuality of LifeAgedCross-Sectional StudiesDrug MonitoringFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMedication AdherenceMiddle AgedMyocardial InfarctionOdds RatioRepublic of KoreaSelf ReportHealth behaviorHealth-related quality of lifeHealthy adherer effectLifestyle modificationMedication adherenceMyocardial infarctionSecondary prevention

Identifiers

PMID29788961
PMCPMC5964665

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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.