2022 年伊朗南部吉罗夫特市 30 至 60 岁人群心肌梗死和脑卒中风险水平、风险认知和预防行为之间的关系

R. Faryabi, A. Jafarnezhad, S. Daneshi
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引用次数: 0

摘要

背景:在非传染性疾病中,心肌梗死(MI)和中风是世界上最常见的死亡原因。本研究旨在调查 2022 年吉罗夫特市 30 至 60 岁人群的心脏风险水平与预防行为之间的关系。研究方法本研究为横断面研究。研究对象为吉罗夫特市的 383 名中年人(30-60 岁),采用联合抽样法。数据收集工具由研究人员制作,包括人口统计学问题、风险认知问卷以及心肌梗死和脑卒中预防行为问题。数据采用 SPSSv21 软件进行分析,并在 0.05 的水平上使用描述性统计检验、卡方检验、独立 t 检验、单因素方差分析和皮尔逊相关检验进行进一步分析。结果参与者的平均年龄为(41.26±8.32)岁。中年人患心血管疾病的风险水平在 10%至 20%之间的比例最高(51.4%)。研究发现,风险水平、风险认知与心肌梗死和中风的预防行为之间存在明显的相关性(p < 0.01)。吸烟和体育锻炼未能显示出明显的相关性(p > 0.05),但预防行为的其他方面与预防行为总分呈显著正相关(p < 0.01)。结论研究结果表明,风险认知对心肌梗死和脑卒中的预防行为有重要影响。建议开展教育干预,以提高对心肌梗死和脑卒中实际风险的认识,尤其是在高风险评估级别的人群中。这将鼓励这类人群采取预防行为。
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Relationship between risk level, risk perception and preventive behaviors of myocardial infarction and stroke in people aged 30 to 60 years of Jiroft city, south of Iran in 2022
Background: Among non-communicable diseases, myocardial infarction (MI) and stroke are the most common cause of death in the world. The current study aimed to investigate the relationship between risk level and preventive behaviors of heart in people aged 30 to 60 years of Jiroft city in 2022. Methods: This research was a cross-sectional study. The population under study is 383 middle-aged individuals (30-60 year) of Jiroft city with the combined sampling method. The data collection tools was reseacher made, included demographic questions, risk perception questionnaires, and preventive behavior questions for MI and stroke. Information was analyzed by SPSSv21 software and further analyzed with descriptive statistics tests, chi-square test, independent t-test, one-way ANOVA, and Pearson correlation test at level 0.05. Results: The participants' average age was 41.26 ± 8.32 years. The highest percentage (51.4%) of middle-aged individuals had a risk level between 10 and 20% for cardiovascular diseases. The study investigated a significant correlation (p < 0.01) between risk level, risk perception, and preventive behaviors for MI and stroke. Smoking and physical activity failed to reveal a significant correlation (p > 0.05), but other dimensions of preventive behaviors correlated positively and significantly with the total score of preventive behaviors (p < 0.01). Conclusion: According to study findings, risk perception plays a significant role in influencing preventive behaviors for MI and stroke. It is recommended to conduct educational interventions to enhance understanding of the actual risk of MI and stroke, particularly among individuals with a high-risk assessment level. This would encourage the adoption of preventive behaviors in this population.
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