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

Eun Jin Kim; Seon Young Hwang

doi:10.7475/kjan.2019.31.5.562

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

Original Article

Korean Journal of Adult Nursing 2019; 31(5): 562-572.

Published online: 27 October 2019

DOI: https://doi.org/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

Eun Jin Kim¹

, Seon Young Hwang²

¹Doctoral Student, Graduate School, Hanyang University, Seoul, Korea.

²Professor, School of Nursing, Hanyang University, Seoul, Korea.

Corresponding author: Hwang, Seon Young. School of Nursing, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. Tel: +82-2-2220-0700, Fax: +82-2-2220-1163, seon9772@hanyang.ac.kr

Received 26 July 2019 Revised 25 September 2019 Accepted 5 October 2019

Korean Society of Adult Nursing

(open-access):

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

Keywords: Cardiovascular diseases, Risk factors, Mobile applications, Health behavior, Cluster analysis

Figures and Tables

Figure 1

Cardiovascular disease risk factors and cluster types.

Table 1

General and Mobile Health-related Characteristics of the Participants (N=166)

BMI=body mass index; CVD=cardiovascular diseases; ^†Multiple responses.

Table 2

Characteristics of the Participants by Cardiovascular Risk Factor Cluster Type (N=166)

BMI=body mass index; CVD=cardiovascular diseases; ^†Multiple responses.

Table 3

Differences of Mobile Health Awareness and Utilization, and Preventive Health Behavior by Cardiovascular Risk Factor Cluster Type (N=166)

Notes

^{CONFLICTS OF INTEREST} The authors declared no conflict of interest.

^AUTHORSHIP

Study conception and design acquisition - KEJ and HSY.
Data collection - KEJ.
Analyzed the data - KEJ and HSY.
Drafting and critical revision of the manuscript - KEJ and HSY.

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ORCID iDs

Eun Jin Kim
https://orcid.org/0000-0001-6888-9625

Seon Young Hwang
https://orcid.org/0000-0003-3613-3350

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