Purpose: We aimed to investigate how genetic predisposition to drinking and gastric cancer (GC) modifies the association between alcohol consumption and GC risk in the Korean population. Materials and Methods: Polygenic risk scores for GC (PRS-GC) and alcohol consumption (PRS-Alcohol) were formulated using genome-wide association results from BioBank Japan. Validation was performed using Korean cohorts (SNUBH-GENIE cohort), incorporating 8,846 controls and 531 patients with GC. Subsequently, these PRSs were applied to an independent Korean cohort of 67,771 participants, including 313 patients with GC during the follow-up for 14 years (KoGES cohort). Results: In KoGES cohort, the influence of alcohol consumption on GC risk was significantly altered by the PRS-GC and exhibited a synergistic interaction effect. PRS-Alcohol itself shows a negative correlation with GC risk. However, when actual alcohol consumption significantly exceeded genetically predicted levels, the risk of alcohol-related GC was notably increased (adjusted hazard ratio, 1.32; 95% confidence interval, 1.01 to 1.72). Heavy drinkers in the high–PRS-GC/low–PRS-Alcohol group had a 2.16 times higher risk of GC than non-to-light drinkers, which was prominent in males. Conclusion Korean drinkers with higher PRS-GC who consume alcohol more than genetically predicted levels are susceptible to GC. PRS-GC and PRS-Alcohol may be beneficial for assessing the impact of alcohol consumption on GC risk in Koreans.

Purpose: To evaluate the effect of a gymnastics program for eight weeks to maintain better body composition and decrease fatigue among factory workers. Methods: Data were collected in 54 female workers in their 50s and 60s in a factory located in the S city of the K region between April and July in 2019. The subjects were divided into two groups: 1) experimental group (n=27) received a 30 minute-gymnastics program three times per week, and 2) control group participated in lecture series about the principle and effect of the gymnastics program. Body composition and fatigue levels were measured before and after the intervention and analyzed using the SPSS 23.0 program. To evaluate the differences in demographic and clinical characteristics between the experimental and control groups, the chi-squared test and the t-test were used. Repeated measures two-way ANOVA was performed to evaluate the change between outcomes of the pre-and post-investigation. Pairwise comparisons were used to assess the differences between the groups and the time. Results: There are statistically significant differences in body fat mass (p<.001), body fat percentage (p<.001), basal metabolic rate (p<.001), and body mass index (p<.022) in the experimental group compared to the control group. In particular, there is a significant interaction between the groups and the time in body fat mass (F=6.308, p=.015), basal metabolic rate (F=11.397, p=.001), fatigue (F=6.933, p=.011). Conclusion Our findings suggest that using the gymnastics program helps women in their 50s and 60s who work in factories promote better body composition and reduce fatigue levels.