Objectives : The objectives of this study were to
determine the relationship between lifestyle-implementation
and metabolic syndrome in an electronics research and
development company, and to provide a foundation for
health providers of health management programs for
setting priorities.
Methods : From July 1 to July 16, 2008 we carried out a
descriptive cross-sectional survey. Consecutive workers of
one R & D company in Seoul, Korea (N=2,079) were
enrolled in study. A checklist for lifestyle (from the National
Health Insurance Corporation) consisted of questions
regarding diet, drinking, smoking and exercise. After the
survey, researchers obtained data from health profiles for
metabolic syndrome(waist-circumference, triglycerides,
HDL cholesterol, blood pressure and fasting blood sugar
level). Lifestyle was recorded as good or not good.
Statistical analysis of metabolic syndrome and the lifestyle
of subjects was done using multiple logistic regression
analysis.
Results : The prevalence of metabolic syndrome in our
study gropu was 13.3% (N=277). After adjustment for age,
the adjusted odds ratios (odds ratio, 95% confidence
intervals) for metabolic syndrome increased in proportion to
the number of bad habits: two (1.72, 1.23-2.44), three
(2.47, 1.73-3.56), and four (3.63, 2.03-6.34). Relative to
subjects eating both vegetables and meat , the OR for
meat eaters was 1.66 (1.18-2.31). Compared with nonsmokers
and ever-smoker , the OR for current-smoker
was 1.62 (1.25-2.10). Compared with Healthy drinker , the
OR for unhealthy drinker was 1.38 (1.05-1.83).
Conclusions : Poor lifestyle was associated with an
increased likelihood of metabolic syndrome. These findings
suggest that lifestyle-based occupational health
interventions for young employees should include a specific
diet, smoking cessation, and healthy-drinking programs.
Objectives : The objectives of this study were to
determine the relationship between lifestyle-implementation
and metabolic syndrome in an electronics research and
development company, and to provide a foundation for
health providers of health management programs for
setting priorities.
Methods : From July 1 to July 16, 2008 we carried out a
descriptive cross-sectional survey. Consecutive workers of
one R & D company in Seoul, Korea (N=2,079) were
enrolled in study. A checklist for lifestyle (from the National
Health Insurance Corporation) consisted of questions
regarding diet, drinking, smoking and exercise. After the
survey, researchers obtained data from health profiles for
metabolic syndrome(waist-circumference, triglycerides,
HDL cholesterol, blood pressure and fasting blood sugar
level). Lifestyle was recorded as good or not good.
Statistical analysis of metabolic syndrome and the lifestyle
of subjects was done using multiple logistic regression
analysis.
Results : The prevalence of metabolic syndrome in our
study gropu was 13.3% (N=277). After adjustment for age,
the adjusted odds ratios (odds ratio, 95% confidence
intervals) for metabolic syndrome increased in proportion to
the number of bad habits: two (1.72, 1.23-2.44), three
(2.47, 1.73-3.56), and four (3.63, 2.03-6.34). Relative to
subjects eating both vegetables and meat , the OR for
meat eaters was 1.66 (1.18-2.31). Compared with nonsmokers
and ever-smoker , the OR for current-smoker
was 1.62 (1.25-2.10). Compared with Healthy drinker , the
OR for unhealthy drinker was 1.38 (1.05-1.83).
Conclusions : Poor lifestyle was associated with an
increased likelihood of metabolic syndrome. These findings
suggest that lifestyle-based occupational health
interventions for young employees should include a specific
diet, smoking cessation, and healthy-drinking programs.