Factors affecting the willingness to pay extra for safe food

BACKGROUND/OBJECTIVES@#With the outbreak of infectious diseases, such as coronavirus disease 2019 (COVID-19), public interest in health and safety has increased, and consequently, interests in food safety have been heightened too. The purpose of this study was to compare and analyze the involvement of various categories of consumers in food safety, the subjective evaluation of food safety in Korea, and the willingness of the consumers to pay extra for safe food according to their demographic and socioeconomic characteristics.MATERIALS/METHODS: This study used data from the 2020 Consumer Behavior Survey for Food provided by the Korea Rural Economic Institute (KREI). The subjects were 6,355 adult household members aged 19 to 75 years old. The survey was conducted from June 10th to August 21st, 2020. The data for the study were subjected to statistical analyses, including descriptive statistics, complex sample general linear model, k-means cluster, and multiple regression analyses. @*RESULTS@#The factors affecting the willingness to pay extra for safe food were education level, occupation, monthly household income, presence of a young (teenager) household member, and the subjects’ involvement in food safety. the significant factors affecting the willingness to pay extra for safe food were sex, age, and income level for the group exhibiting a low level of involvement in food safety, while education level and presence of a young household member were the statistically significant factors for the group exhibiting a high level of involvement in food safety. @*CONCLUSION@#This study verified the differences in the factors associated with the willingness to pay extra for safe food according to the demographic and socioeconomic characteristics, involvement in food safety, subjective evaluation of food safety. This study offers practical implications to the industry and government that would help in directing strategies to strengthen safe food management.

Effect of Cross-Sex Hormones on Body Composition, Bone Mineral Density, and Muscle Strength in Trans Women

Background@#Cross-sex hormone therapy (CHT) changes the physical characteristics of transgender women to match their gender identity and expression. This study aimed to determine the effects of feminizing cross-sex hormones on body composition, bone mineral density (BMD) and muscle strength in transgender women. @*Methods@#A prospective observational study assessed 11 participants who underwent feminizing CHT. Dual energy X-ray absorptiometry (DXA), and handgrip strength were measured before CHT and after 6-months of CHT. Fat mass, lean body mass (LBM), and BMD were measured by DXA and handgrip strength was measured by hand-dynamometer. @*Results@#Regional body fat in the trunk, legs, and gynoid region increased by 18%, 27.4%, and 27.2%, respectively after 6 months of CHT. Total body fat increased by 16.2%, while the fat mass ratio decreased by 7.2%. Although body fat increased, the android/gynoid fat ratio decreased; BMD in the lumbar spine significantly increased by 3.9% (P=0.0051), but changes in the femoral neck (P=0.1969) and total femur (P=0.4769) were not significant. Changes in LBM ranged from -3% (trunk) to -8% (arm region). Right-hand grip strength also significantly decreased by 7.7% (P=0.0467). @*Conclusions@#After 6 months of CHT, transgender women showed a general increase in fat mass and a decreased in overall LBM and handgrip strength. Increase in fat mass percentage were more remarkable in gynoid region, leading to a more “female” body fat distribution.

Comparison of Clinical Pregnancy Rates and Affecting Factors Between Elderly and Young Infertile Females After Intra-Uterine Insemination: Benefited by ‘National Medical-aid Program for ART (assisted reproductive technology) in 2016

Purpose@#The purpose of this study was to evaluate the intrauterine insemination (IUI) success rate and to define the variables for predicting success. @*Methods@#The secondary data analysis was used with data collected from infertile females who underwent IUI in Fertility and IVF (In Vitro Fertilization) clinics, who benefited from the ‘National Medical-aid Program for ART (assisted reproductive technology) in 2016’, in which the data of 34,920 IUI cases were retrospectively reviewed. The primary outcome measure was the clinical pregnancy rate in elderly and young infertile females. Data were analyzed by descriptive statistics, χ2 test and logistic regression. @*Results@#The pregnancy rate was 12.1% (2,095 cases) in elderly infertile females and 15.6% in young infertile females (2,758 cases) (χ2 = 87.90, p < .001). Using the logistic regression analysis, clinical pregnancy was positively associated with the ovulatory factor (OR= 1.48, p< .001) and male factor (OR= 1.19, p< .05) in elderly infertile females. It was positively associated with the ovulatory factor (OR= 1.30, p= .001) and the peritoneal cavity factor (OR= 0.58, p< .05) in young infertile females. @*Conclusion@#Our results indicate that the pregnancy rate in young infertile females was higher than that in old infertile females, and the IUI is the effective option in pregnancies in all ages with infertility due to the ovulatory factor. Additionally, further studies are necessary to fully describe pregnancy experiences for all the infertile females.