Health Belief Model-based Needs Assessment for Development of a Metabolic Syndrome Risk Reduction Program for Korean Male Blue-collar Workers in Small-sized Companies / 산업간호학회지
Korean Journal of Occupational Health Nursing
;
: 235-246, 2018.
Article
in Korean
| WPRIM
| ID: wpr-739026
ABSTRACT
PURPOSE:
This study aimed to comprehend the real context of metabolic syndrome-related factors of Korean male blue-collar workers from small-sized companies based on the health belief model.METHODS:
A total of 37 workers from three companies were interviewed, and three series of focus group interviews were conducted. Data were analyzed using deductive content analysis.RESULTS:
Data were classified into four categories knowledge, perceived susceptibility and severity, perceived barriers, and beliefs. Knowledge referred to low knowledge level; perceived susceptibility and severity referred to unawareness of susceptibility and severity; perceived barriers referred to shift work, overtime work, and a social context including having no choice but to drink; and beliefs referred to believing that health promotion behaviors do not relate to preventing metabolic syndrome, believing that one cannot prevent metabolic syndrome oneself, and believing that professional help is required.CONCLUSION:
To prevent and reduce the risk of metabolic syndrome among Korean male blue-collar workers, interventions should focus on strategies to increase metabolic syndrome-related knowledge and perceptions, social support, and self-efficacy for practicing health behaviors. In addition, it is necessary to develop policies for establishing a healthy drinking culture in companies.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Social Perception
/
Health Behavior
/
Focus Groups
/
Needs Assessment
/
Risk Reduction Behavior
/
Qualitative Research
/
Drinking
/
Health Promotion
Type of study:
Etiology study
/
Prognostic study
/
Qualitative research
Limits:
Humans
/
Male
Language:
Korean
Journal:
Korean Journal of Occupational Health Nursing
Year:
2018
Type:
Article
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