Factors That Predict Early Return to Work After Myocardial Infarction: Importance of Coworker Support.

IF 0.5 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Mahdi Chinichian, Ramin Mehrdad, Mahboobeh Moradi, Gholamreza Pouryaghoub, Tahereh Davarpasand, Negin Kassiri
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Abstract

Aim    Myocardial infarction (MI) affects the working-age group and cause many absences and lost days of work. Some occupational factors effect in the prognosis of MI patients. The objective of this study was to determine predictors of early, late and no return to work (RTW) after MI.Material and methods    In this cohort study, 240 pre-employed, male patients with MI from April 2020 through February 2022 provided data about their demographic, occupational, psychosocial, and medical information. Data was also collected about the treatment they received as patients, their feelings about socioeconomic support, and RTW time. RTW within two weeks after MI was defined as early RTW. The relationships of these variables and with early RTW and with late or no RTW were analyzed.Results    Ninety-four patients (39.6 %) returned to work within two weeks after MI, whereas 207 patients (87.3 %) returned to work by the end of six months. Many variables, including coworker support, were associated with early RTW in a univariate analysis. Regression analysis revealed that age, coworker support, marital status, the patient's own estimated RTW time, the number of the vessels with occlusion, and comorbidity were predictors of early RTW. Of these factors, only coworker support would be subject to modification.Conclusions    This study indicates that improving support from coworkers can increase early RTW after MI.

预测心肌梗塞后尽早重返工作岗位的因素:同事支持的重要性。
目的 心肌梗塞(MI)影响着工作年龄组的人群,导致许多人缺勤和误工。一些职业因素会影响心肌梗死患者的预后。本研究旨在确定心肌梗死后早期、晚期和未重返工作岗位(RTW)的预测因素。 材料和方法 在这项队列研究中,240 名男性心肌梗死患者在 2020 年 4 月至 2022 年 2 月期间提供了有关其人口、职业、社会心理和医疗信息的数据。研究还收集了他们作为患者所接受的治疗、对社会经济支持的感受以及复工时间等方面的数据。心肌梗死后两周内的复工被定义为早期复工。结果 94 名患者(39.6%)在心肌梗死后两周内重返工作岗位,207 名患者(87.3%)在六个月后重返工作岗位。在单变量分析中,包括同事支持在内的许多变量都与早期复工有关。回归分析表明,年龄、同事支持、婚姻状况、患者自己估计的复工时间、闭塞血管的数量以及合并症是预测早期复工的因素。结论 本研究表明,改善同事的支持可以增加心肌梗死后的早期 RTW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kardiologiya
Kardiologiya 医学-心血管系统
CiteScore
1.70
自引率
20.00%
发文量
94
审稿时长
3-8 weeks
期刊介绍: “Kardiologiya” (Cardiology) is a monthly scientific, peer-reviewed journal committed to both basic cardiovascular medicine and practical aspects of cardiology. As the leader in its field, “Kardiologiya” provides original coverage of recent progress in cardiovascular medicine. We publish state-of-the-art articles integrating clinical and research activities in the fields of basic cardiovascular science and clinical cardiology, with a focus on emerging issues in cardiovascular disease. Our target audience spans a diversity of health care professionals and medical researchers working in cardiovascular medicine and related fields. The principal language of the Journal is Russian, an additional language – English (title, authors’ information, abstract, keywords). “Kardiologiya” is a peer-reviewed scientific journal. All articles are reviewed by scientists, who gained high international prestige in cardiovascular science and clinical cardiology. The Journal is currently cited and indexed in major Abstracting & Indexing databases: Web of Science, Medline and Scopus. The Journal''s primary objectives Contribute to raising the professional level of medical researchers, physicians and academic teachers. Present the results of current research and clinical observations, explore the effectiveness of drug and non-drug treatments of heart disease, inform about new diagnostic techniques; discuss current trends and new advancements in clinical cardiology, contribute to continuing medical education, inform readers about results of Russian and international scientific forums; Further improve the general quality of reviewing and editing of manuscripts submitted for publication; Provide the widest possible dissemination of the published articles, among the global scientific community; Extend distribution and indexing of scientific publications in major Abstracting & Indexing databases.
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