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당뇨병이 없는 남성 근로자의 건강행태 특성이 당화혈색소에 미치는 영향

The Impact of Health Behaviors of Male Workers without Diabetes on HbA1c

  • 박지연 (경북대학교 보건대학원) ;
  • 김건엽 (경북대학교 의과대학) ;
  • 이수진 (경북대학교 대학원 보건학과)
  • Park, Ji-Yun (Graduate School of Public Health, Kyungpook National University) ;
  • Kim, Keon-Yeop (Department of Preventive Medicine, School of Medicine, Kyungpook National University) ;
  • Lee, Su-Jin (Graduate School of Department of Public Health, Kyungpook National University)
  • 투고 : 2018.10.23
  • 심사 : 2018.11.26
  • 발행 : 2018.11.30

초록

Objectives: The purpose of this study is to investigate the impact of health behaviors of male workers without diabetes such as smoking, drinking and physical activities on HbA1c using 2015 and 2016 data from Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The final study subjects of KNHANES were a total of 1,703 male workers in their 30s-50s who had normal levels of fasting blood sugar level, HbA1c, and hemoglobin. For the study variables, age, household income, educational level and occupation were included as socio-demographic characteristics; smoking behavior, drinking behavior, and physical activity behavior as characteristics of health behavior; and waist circumference, body mass index, systolic and diastolic blood pressures, total cholesterol, triglyceride and HDL cholesterol as medical examination characteristics were included. The analysis was conducted using independent variables t-test, one-way ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: Socio-demographic factors that affect HbA1c were age, educational level, and occupation. As for HbA1c according to the status of current smoking, it was higher in order of the present, past and nonsmoking and HbA1c according to smoking amount pack-year increased linearly in between less than 1 pack-year and over 30 pack-year (p<0.001). Muscular exercises affected the reduction of HbA1c (p<0.05). In the multiple regression analysis with independent variables of the socio-demographic characteristics and health behavior, factors affecting HbA1c were age, occupation and smoking amount pack-year (p<0.05). In the multiple regression analysis where the characteristics of physical examination were added, factors affecting HbA1c were age, occupation, smoking amount pack-year, waist circumference and total cholesterol (p<0.001). Conclusions: As a result, the health behavior that had the most effect on HbA1c management for male workers without diabetes was the total lifetime smoking amount. Therefore, it is essential to prevent smoking as well as control, cholesterol to prevent diabetes for male workers.

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