Korean J Adult Nurs.  2014 Apr;26(2):244-252. 10.7475/kjan.2014.26.2.244.

Prevalence of Metabolic Syndrome and Its Predicting Factors among Small-sized Company Workers

Affiliations
  • 1Graduate School of Chosun University, Chosun Nursing College, Gwangju, Korea.
  • 2Kim Hospital, Gwangju, Korea.
  • 3College of Nursing, Hanyang University, Seoul, Korea. seon9772@hanyang.ac.kr

Abstract

PURPOSE
This study was aimed to examine the prevalence of metabolic syndrome (MetS) and cardiovascular risk factors among workers at small-sized companies having fewer than 50employees in Korea.
METHODS
A descriptive cross-sectional study was conducted using a secondary data analysis on workers' health examination data. Data from 21,784 employed workers were analyzed, including 16,488 males (mean age 38.7years)and 5,296 females (mean age 40.5 years). Participants were newly enrolled in annual health check-ups at a professional health clinic from 2009 to 2011. Logistic regression analysis was performed to identify age-adjusted gender specific predicting factors of MetS incidence.
RESULTS
The prevalence of MetS was 13.4% in male and 7.7% in female workers. Logistic regression analysis showed that, when age was adjusted for, family history of cardiovascular disease (CVD) was a predicting factor in both male and female workers. For male workers, heavy alcohol drinking and non-manual occupation (office workers/drivers) predicted MetS.
CONCLUSION
Health care providers should screen for MetS periodically in small work places especially for those with a family history of CVD. Educational counseling needs to be given to male workers with sedentary occupations with an aim to reduce heavy drinking and encourage lifestyle modification.


MeSH Terms

Alcohol Drinking
Cardiovascular Diseases
Counseling
Cross-Sectional Studies
Drinking
Female
Health Personnel
Health Promotion
Humans
Incidence
Korea
Life Style
Logistic Models
Male
Occupations
Prevalence*
Risk Factors
Statistics as Topic
Workplace

Figure

  • Figure 1 Distributions of MetS and the number of components and unhealthy lifestyle behaviors by age group among male and female subjects


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