1.Associations between Lifestyle Factors and Iron Overload in Korean Adults.
Hyungjo KIM ; Chol SHIN ; Inkyung BAIK
Clinical Nutrition Research 2016;5(4):270-278
It has been suggested that iron overload, which indicates the accumulation of iron, generates cellular reactive oxygens and causes peroxide damages to the body. Such oxidative stresses, in a broader context, are also caused by lifestyles such as alcohol consumption and smoking. However, there are limited data on the association between these lifestyle factors and internal iron overload. In present study, we evaluated associations between lifestyle factors, such as smoking status, alcohol consumption, and physical activity, and serum markers of iron overload. In a population-based cross-sectional study including 2,347 Korean men and women aged 49–79 years, we assessed serum transferrin saturation (TSAT) levels and defined iron overload as TSAT levels > 50% for men and > 45% for women. After excluding persons with chronic diseases and iron deficiency, multivariate odds ratio (OR) and its 95% confidence interval (CI) were estimated to evaluate associations between lifestyle factors and iron overload in 1,973 participants. In all participants, we examined a significantly positive association between heavy alcohol consumption (> 30 g/day) and iron overload; heavy drinkers showed 1.6-fold higher OR (95% CI, 1.11–2.36) than non-drinkers. Stratified analysis by sex showed that this association was significant only among men. In addition, we observed a potential association between heavy smoking > 10 cigarettes/day and iron overload (p = 0.07). In stratified analysis by sex, we examined a significant association between smoking and iron overload only among women; former or current smokers had 1.9-fold higher OR (95% CI, 1.01–3.63) than never-smoker. Our findings suggest that heavy alcohol consumption and smoking may worsen iron accumulation in the body.
Adult*
;
Alcohol Drinking
;
Biomarkers
;
Chronic Disease
;
Cross-Sectional Studies
;
Female
;
Humans
;
Iron Overload*
;
Iron*
;
Life Style*
;
Male
;
Motor Activity
;
Odds Ratio
;
Oxidative Stress
;
Oxygen
;
Smoke
;
Smoking
;
Transferrin
2.Associations of alcohol consumption and alcohol flush reaction with leukocyte telomere length in Korean adults.
Hyewon WANG ; Hyungjo KIM ; Inkyung BAIK
Nutrition Research and Practice 2017;11(4):334-339
BACKGROUND/OBJECTIVES: Telomere length is a useful biomarker for determining general aging status. Some studies have reported an association between alcohol consumption and telomere length in a general population; however, it is unclear whether the alcohol flush reaction, which is an alcohol-related trait predominantly due to acetaldehyde dehydrogenase deficiency, is associated with telomere length. This cross-sectional study aimed to evaluate the associations of alcohol consumption and alcohol flush reaction with leukocyte telomere length (LTL). SUBJECTS/METHODS: The study included 1,803 Korean adults. Participants provided blood specimens for LTL measurement assay and reported their alcohol drinking status and the presence of an alcohol flush reaction via a questionnaire-based interview. Relative LTL was determined by using a quantitative polymerase chain reaction. Statistical analysis used multiple linear regression models stratified by sex and age groups, and potential confounding factors were considered. RESULTS: Age-specific analyses showed that heavy alcohol consumption (> 30 g/day) was strongly associated with a reduced LTL in participants aged ≥ 65 years (P < 0.001) but not in younger participants. Similarly, the alcohol flush reaction was associated with a reduced LTL only in older participants who consumed > 15 g/day of alcohol (P < 0.01). No significant alcohol consumption or alcohol flush reaction associations with LTL were observed in the sex-specific analyses. CONCLUSIONS: The results suggest that older alcohol drinkers, particularly those with the alcohol flush reaction, may have an accelerated aging process.
Acetaldehyde
;
Adult*
;
Aging
;
Alcohol Drinking*
;
Aldehyde Dehydrogenase
;
Cross-Sectional Studies
;
Humans
;
Leukocytes*
;
Linear Models
;
Oxidoreductases
;
Polymerase Chain Reaction
;
Telomere*