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김은진 ( Kim Eun-Jin ) - 한양대학교 대학원
황선영 ( Hwang Seon-young ) - 한양대학교 간호학부
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Abstract
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Purpose: This study was conducted to identify cardiovascular risk factor cluster types in early middle-aged male workers in their 30s and 40s, and to identify differences in awareness of mobile health and preventive health behaviors by cluster type.
Methods: This study adopted a cross-sectional descriptive design. Male workers aged 30~49 years with cardiovascular risk factors (n=166) at three medical device manufacturers in June, 2019 were recruited. Self-reported questionnaires were administered. K-means cluster analysis was performed using four measurement tools: e-health literacy, behavior of seeking health information on the internet, intent to use mobile health, and preventive health behavior.
Results: Three cluster groups were identified based on 7 risk factors: "unhealthy behavior (51.8%)", "chronic disease (28.9%)", and "dyslipid·family history (19.3%)". In the "unhealthy behavior" group where more than 70% of the participants were smoking and drinking heavily, the awareness of mobile health utilization such as behavior of seeking information on the internet and intent to use mobile health, especially usefulness, was significantly lower than that in the other two groups. The preventive health behavior was also the lowest among the three groups.
Conclusion: We suggest that when planning for mobile-use cardiovascular prevention education for early middle-aged male workers, it is necessary to consider a cluster of risk factors. Strategies for raising positive awareness of the use of mobile health should be included prior to cardiovascular health education for workers with unhealthy lifestyles such as smoking and excessive drinking alcohol.
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KeyWords
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심혈관질환, 위험인자, 모바일헬스, 건강행위, 군집분석
Cardiovascular diseases, Risk factors, Mobile applications, Health behavior, Cluster analysis
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원문 및 링크아웃 정보
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등재저널 정보
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