Who has experienced better or worse health conditions since the outbreak of COVID-19?: results from a representative cross-sectional survey in Seoul.

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population in many ways. This study aimed to analyze the patterns of changes in eating, food purchasing and preparation, physical activity, and subjective health after COVID-19 outbreak by various sociodemographic factors and to understand the factors associated with changes in subjective health. SUBJECTS/METHODS: A cross-sectional survey using a representative sample from Seoul was used for the analysis. The data collection was conducted from September to October 2020. A total of 3,833 citizens aged more than 18 years old participated in the Seoul Food Survey. Descriptive statistics and generalized ordinal logistic regression models were used to understand the changes in health behaviors, health indicators, and subjective general health by various socioeconomic status. RESULTS: It was shown that the changes in household income, food expenditure, food consumption and physical activities differed significantly by age, education, occupation, income, weight, and food security status. Low-income and food-insecure households were affected more severely by the pandemic. Older age, household food insecurity, income reduction, increased home cooking and frequency of having instant foods, decreased physical activity and weight gain were significant factors explaining worse perceived health during the COVID-19 pandemic. CONCLUSIONS: The results suggest that focusing on older populations and low-income families with food insecurity should be prioritized during infectious disease outbreaks. In addition, the role of physical activities and instant food consumption in explaining perceived health should be investigated further in this prolonged battle with the pandemic situation.

Eating Alone is Differentially Associated with the Risk of Metabolic Syndrome in Korean Men and Women.

Few studies have examined overall patterns of eating alone in relation to the risk of metabolic syndrome (MetS) in Korean populations. The present study aimed to examine the relationship between patterns of eating alone and the risk of MetS in Korean adults. Data from the Korea National Health and Nutrition Examination Survey (KNHANES) for 2013⁻2015 were used, with 8988 Korean adult participants, including 3624 men and 5364 women, aged 18 to 64 years. Patterns of eating alone were categorized into eight groups based on the total frequency of eating alone on a daily basis in the past one year: (1) three times for breakfast, lunch, and dinner; (2) twice for breakfast and dinner; (3) twice for lunch and dinner; (4) twice for breakfast and lunch; (5) once for breakfast only; (6) once for lunch only; (7) once for dinner only; and (8) never eating alone. The presence of MetS has been defined by the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) and International Diabetes Federation (IDF). Multivariable logistic regression analyses were performed to assess the association between patterns of eating alone versus the risk of MetS after controlling for age, income, occupation, number of family members, generation types, marital status, smoking status, and physical activity. The prevalence of MetS was the highest in men and women aged 40⁻64 who had breakfast, lunch, and dinner alone (50.1% and 36.8%, respectively). Men who had dinner alone or lunch and dinner alone compared with those who eat with others had a significantly higher risk of MetS, with adjusted odds ratios (AOR) of 1.51, and a 95% confidence interval (CI) of 1.06⁻2.16; and an AOR of 1.54, with a 95% CI of 1.05⁻2.25, respectively. Women who had breakfast alone compared with those who ate with others had a significantly lower risk of MetS (AOR 0.70, 95% CI 0.53⁻0.94). In conclusion, patterns of eating alone are differentially associated with the risk of MetS in a representative sample of Korean adults. Future studies are warranted to identify dietary patterns across the different eating alone patterns in relation to various health outcomes in Korean adult populations.