Background: Since the World Health Organization’s pandemic declaration in March 2020, Korea has witnessed shifts in lifestyle behaviors, impacting habits tied to socioeconomic status and contributing to metabolic syndrome (MetS). To investigate this issue, the current study aimed to investigate changes in MetS prevalence, particularly based on income levels before and after the coronavirus disease 2019 (COVID-19) pandemic. Methods: This study used data from the 8th Korea National Health and Nutrition Examination Survey (2019–2020). A total of 6,840 individuals aged 30–65 years were included in this study. Household income was divided into high (≥75th percentile), middle (25–75th percentile), and low (≤25th percentile). A multivariable logistic regression analysis was performed to explore the interaction between this association before and after the COVID-19 pandemic. Results: A statistically significant difference was found in the prevalence of MetS before and after the COVID-19 pandemic (26.7% to 30.2%, P=0.001). These changes differed based on income levels. The increase in the prevalence of MetS was statistically significant in the low- and high-income groups but not in the middle-income group (low: 8.0%p increase [P=0.039], middle: 1.0%p increase [P=0.522], high: 6.4%p increase [P<0.001]). The interaction between household income and the COVID-19 pandemic on MetS was statistically significant (P for interaction=0.032). Conclusion This study revealed that P for interaction between household income, MetS, and the period before and after the COVID-19 pandemic was significant. Changes in physical activity and eating habits during the COVID-19 pandemic may have contributed to these differences.

Secondary dyslipidemia, characterized by elevated blood cholesterol and triglycerides, arises from various underlying conditions. The identification and appropriate handling of these causes is crucial for effective treatment. Major contributors include unhealthy diets, diseases impacting lipid metabolism, and medication side effects. Prioritizing the correction of secondary causes before initiating conventional lipid-lowering therapies is essential. Subsequent lipid profiles guide the selection of appropriate guideline-based lipid-lowering interventions.

Background: Since the World Health Organization’s pandemic declaration in March 2020, Korea has witnessed shifts in lifestyle behaviors, impacting habits tied to socioeconomic status and contributing to metabolic syndrome (MetS). To investigate this issue, the current study aimed to investigate changes in MetS prevalence, particularly based on income levels before and after the coronavirus disease 2019 (COVID-19) pandemic. Methods: This study used data from the 8th Korea National Health and Nutrition Examination Survey (2019–2020). A total of 6,840 individuals aged 30–65 years were included in this study. Household income was divided into high (≥75th percentile), middle (25–75th percentile), and low (≤25th percentile). A multivariable logistic regression analysis was performed to explore the interaction between this association before and after the COVID-19 pandemic. Results: A statistically significant difference was found in the prevalence of MetS before and after the COVID-19 pandemic (26.7% to 30.2%, P=0.001). These changes differed based on income levels. The increase in the prevalence of MetS was statistically significant in the low- and high-income groups but not in the middle-income group (low: 8.0%p increase [P=0.039], middle: 1.0%p increase [P=0.522], high: 6.4%p increase [P<0.001]). The interaction between household income and the COVID-19 pandemic on MetS was statistically significant (P for interaction=0.032). Conclusion This study revealed that P for interaction between household income, MetS, and the period before and after the COVID-19 pandemic was significant. Changes in physical activity and eating habits during the COVID-19 pandemic may have contributed to these differences.

Secondary dyslipidemia, characterized by elevated blood cholesterol and triglycerides, arises from various underlying conditions. The identification and appropriate handling of these causes is crucial for effective treatment. Major contributors include unhealthy diets, diseases impacting lipid metabolism, and medication side effects. Prioritizing the correction of secondary causes before initiating conventional lipid-lowering therapies is essential. Subsequent lipid profiles guide the selection of appropriate guideline-based lipid-lowering interventions.

Background: Since the World Health Organization’s pandemic declaration in March 2020, Korea has witnessed shifts in lifestyle behaviors, impacting habits tied to socioeconomic status and contributing to metabolic syndrome (MetS). To investigate this issue, the current study aimed to investigate changes in MetS prevalence, particularly based on income levels before and after the coronavirus disease 2019 (COVID-19) pandemic. Methods: This study used data from the 8th Korea National Health and Nutrition Examination Survey (2019–2020). A total of 6,840 individuals aged 30–65 years were included in this study. Household income was divided into high (≥75th percentile), middle (25–75th percentile), and low (≤25th percentile). A multivariable logistic regression analysis was performed to explore the interaction between this association before and after the COVID-19 pandemic. Results: A statistically significant difference was found in the prevalence of MetS before and after the COVID-19 pandemic (26.7% to 30.2%, P=0.001). These changes differed based on income levels. The increase in the prevalence of MetS was statistically significant in the low- and high-income groups but not in the middle-income group (low: 8.0%p increase [P=0.039], middle: 1.0%p increase [P=0.522], high: 6.4%p increase [P<0.001]). The interaction between household income and the COVID-19 pandemic on MetS was statistically significant (P for interaction=0.032). Conclusion This study revealed that P for interaction between household income, MetS, and the period before and after the COVID-19 pandemic was significant. Changes in physical activity and eating habits during the COVID-19 pandemic may have contributed to these differences.

Secondary dyslipidemia, characterized by elevated blood cholesterol and triglycerides, arises from various underlying conditions. The identification and appropriate handling of these causes is crucial for effective treatment. Major contributors include unhealthy diets, diseases impacting lipid metabolism, and medication side effects. Prioritizing the correction of secondary causes before initiating conventional lipid-lowering therapies is essential. Subsequent lipid profiles guide the selection of appropriate guideline-based lipid-lowering interventions.

Background: Since the World Health Organization’s pandemic declaration in March 2020, Korea has witnessed shifts in lifestyle behaviors, impacting habits tied to socioeconomic status and contributing to metabolic syndrome (MetS). To investigate this issue, the current study aimed to investigate changes in MetS prevalence, particularly based on income levels before and after the coronavirus disease 2019 (COVID-19) pandemic. Methods: This study used data from the 8th Korea National Health and Nutrition Examination Survey (2019–2020). A total of 6,840 individuals aged 30–65 years were included in this study. Household income was divided into high (≥75th percentile), middle (25–75th percentile), and low (≤25th percentile). A multivariable logistic regression analysis was performed to explore the interaction between this association before and after the COVID-19 pandemic. Results: A statistically significant difference was found in the prevalence of MetS before and after the COVID-19 pandemic (26.7% to 30.2%, P=0.001). These changes differed based on income levels. The increase in the prevalence of MetS was statistically significant in the low- and high-income groups but not in the middle-income group (low: 8.0%p increase [P=0.039], middle: 1.0%p increase [P=0.522], high: 6.4%p increase [P<0.001]). The interaction between household income and the COVID-19 pandemic on MetS was statistically significant (P for interaction=0.032). Conclusion This study revealed that P for interaction between household income, MetS, and the period before and after the COVID-19 pandemic was significant. Changes in physical activity and eating habits during the COVID-19 pandemic may have contributed to these differences.

Secondary dyslipidemia, characterized by elevated blood cholesterol and triglycerides, arises from various underlying conditions. The identification and appropriate handling of these causes is crucial for effective treatment. Major contributors include unhealthy diets, diseases impacting lipid metabolism, and medication side effects. Prioritizing the correction of secondary causes before initiating conventional lipid-lowering therapies is essential. Subsequent lipid profiles guide the selection of appropriate guideline-based lipid-lowering interventions.

Background: Low compliance (LC) with lifestyle modification is a very common obstacle in obesity management. The purpose of the current study was to investigate the effectiveness of obesity management according to compliance with a lifestyle-modification program. Methods: The “Change 10 Habits” program was administered four times over 12 weeks. Eighty-seven participants were divided into LC and high compliance (HC) groups for analysis after intervention. Then, to assess the program’s effectiveness based on compliance, we conducted t-tests and linear regression modeling. Results: In week 12, the scores of two dietary habits—specifically, “eat three meals regularly, adequate amount” and “do not eat after 9:00 PM”—were significantly higher in the HC group than in the LC group. Changes in leg and total body fat percentages were significantly improved in the HC group (−0.2%±0.3% vs. 0.9%±0.3%, P< 0.05; −0.1%±0.3% vs. 1.1%±0.5%, P<0.05, respectively). The body mass index was also significantly lower in the HC group than in the LC group (26.7±1.8 kg/m2 vs. 27.7±2.1 kg/m2 , P<0.05) at final follow-up. Finally, the systolic blood pressure, triglyceride, and very-low-density lipoprotein cholesterol values of the HC group also decreased significantly (from 117.9±12.2 to 114.3±15.0 mmHg, P<0.05; from 121.7±74.9 to 105.7±60.9 mg/dL, P<0.05; and from 24.3±15.0 to 21.1±12.2 mg/dL, P<0.05, respectively). Conclusion HC with the study program effectively improved the dietary habits, body fat composition, blood pressure, and lipid profile of adults with mild obesity.

Background: Low compliance (LC) with lifestyle modification is a very common obstacle in obesity management. The purpose of the current study was to investigate the effectiveness of obesity management according to compliance with a lifestyle-modification program. Methods: The “Change 10 Habits” program was administered four times over 12 weeks. Eighty-seven participants were divided into LC and high compliance (HC) groups for analysis after intervention. Then, to assess the program’s effectiveness based on compliance, we conducted t-tests and linear regression modeling. Results: In week 12, the scores of two dietary habits—specifically, “eat three meals regularly, adequate amount” and “do not eat after 9:00 PM”—were significantly higher in the HC group than in the LC group. Changes in leg and total body fat percentages were significantly improved in the HC group (−0.2%±0.3% vs. 0.9%±0.3%, P< 0.05; −0.1%±0.3% vs. 1.1%±0.5%, P<0.05, respectively). The body mass index was also significantly lower in the HC group than in the LC group (26.7±1.8 kg/m2 vs. 27.7±2.1 kg/m2 , P<0.05) at final follow-up. Finally, the systolic blood pressure, triglyceride, and very-low-density lipoprotein cholesterol values of the HC group also decreased significantly (from 117.9±12.2 to 114.3±15.0 mmHg, P<0.05; from 121.7±74.9 to 105.7±60.9 mg/dL, P<0.05; and from 24.3±15.0 to 21.1±12.2 mg/dL, P<0.05, respectively). Conclusion HC with the study program effectively improved the dietary habits, body fat composition, blood pressure, and lipid profile of adults with mild obesity.