Korean J Adult Nurs.  2019 Oct;31(5):562-572. 10.7475/kjan.2019.31.5.562.

Awareness and Utilization of Mobile Health and Preventive Health Behavior according to Cardiovascular Risk Factor Cluster Type in Early Middle-aged Male Workers

• Kim EJ
• Hwang SY

• KMID: 2461070
• DOI: http://doi.org/10.7475/kjan.2019.31.5.562

Abstract

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.

MeSH Terms

Cardiovascular Diseases
Cluster Analysis
Drinking
Education
Health Behavior*
Health Education
Humans
Internet
Life Style
Literacy
Male*
Mobile Applications
Risk Factors*
Smoke
Smoking
Telemedicine*
Smoke

Figure

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  Figure 1 Cardiovascular disease risk factors and cluster types.

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