The Effect of Smoking on the Serum Lipid Levels of Male White Collar Workers.
- Author:
Jung Ho KIM
1
;
Chung Yill PARK
Author Information
1. Department of Occupational Medicine, Graduate School of Occupational Health, Catholic University, Korea.
- Publication Type:Original Article
- Keywords:
Smoking history;
Senum lipid;
Centribution rate
- MeSH:
Blood Glucose;
Body Mass Index;
Education;
Fasting;
Humans;
Lipoproteins;
Male*;
Questionnaires;
Smoke*;
Smoking Cessation;
Smoking*
- From:Korean Journal of Occupational and Environmental Medicine
1994;6(2):242-251
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
This study was carried out to evaluate the relations between smoking and serum lipid levels in a group of 1,138 male white collar workers, ages 20 to 69 years. Smoking history on daily smoking amount, duration of smoking and duration of smoking cessation was obtained by questionnaire and was pack year. The levels of seurm lipid such as total cholesterol(TC), high density lipoprotein cholestoerol(HDL), triglyceride(TG), and low density lipoprotein cholesterol(LDL) were measured by enzyme method. We also observed the effects of various variables such as age, education, income, exercise, fasting blood suger, body mass index and alcohol. The correlation, ANOVA and multiple regression analysis were performed using SAS pakege programme. The results obtained were as follows; 1. Age was positively related to TC, TG and LDL; income was positively related to TC and LDL; exercise was positively related to HDL; body mass index was positively related to HC, TG and LDL and was inversely related to HDL; alcohol intake was positively related to HDL and TG. 2. TC, TG and LDL increased and HDL decreased significantly with increasing daily smoking amount, duration of smoking or pack year. 3. The differences found among the various groups by duration of smoking cessation were not significant for the adjust means of TC, HDL, TG and LDL. 4. Multiple regression analysis demonstrated that smoking contributed independently to all serum lipid levels of other variables such as age, education, income, exercise, body mass index, alcohol and fasting blood sugar. However, the contribution rate of smoking to the serum lipid levels was only 1-2%.