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.

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.

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.

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.

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.

Purpose: This study aimed to investigate the incidence and risk factors for secondary malignant neoplasms (SMN) in pediatric solid tumors, focusing on the effects of tandem high-dose chemotherapy (HDCT). Materials and Methods: Patients (aged < 19 years) diagnosed with or treated for pediatric solid tumors between 1994 and 2014 were retrospectively analyzed. The cumulative incidence of SMN was estimated using competing risk methods by considering death as a competing risk. Results: A total of 1,435 patients (413 with brain tumors and 1,022 with extracranial solid tumors) were enrolled. Seventy-one patients developed 74 SMNs, with a 10-year and 20-year cumulative incidence of 2.680±0.002% and 10.193±0.024%, respectively. The types of SMN included carcinoma in 28 (37.8%), sarcoma in 24 (32.4%), and hematologic malignancy in 15 (20.3%) cases. Osteosarcoma and thyroid carcinoma were the most frequently diagnosed tumors. Multivariate analysis showed that radiotherapy (RT) > 2, 340 cGy, and tandem HDCT were significant risk factors for SMN development. The SMN types varied according to the primary tumor type; carcinoma was the most frequent SMN in brain tumors and neuroblastoma, whereas hematologic malignancy and sarcomas developed more frequently in patients with sarcoma and retinoblastoma, respectively. Conclusion The cumulative incidence of SMN in pediatric patients with solid tumors was considerably high, especially in patients who underwent tandem HDCT or in those who received RT > 2,340 cGy. Therefore, the treatment intensity should be optimized based on individual risk assessment and the long-term follow-up of pediatric cancer survivors.

Background: We investigated the long-term efficacy and safety of initial triple therapy using metformin, a dipeptidyl peptidase-4 inhibitor, and a sodium-glucose cotransporter-2 inhibitor, in patients with type 2 diabetes mellitus. Methods: We enrolled 170 drug-naïve patients with glycosylated hemoglobin (HbA1c) level >7.5% who had started triple therapy (metformin, sitagliptin, and empagliflozin). Glycemic, metabolic, and urinary parameters were measured for 24 months. Results: After 24 months, HbA1c level decreased significantly from 11.0%±1.8% to 7.0%±1.7%. At 12 and 24 months, the rates of achievement of the glycemic target goal (HbA1c <7.0%) were 72.5% and 61.7%, respectively, and homeostasis model assessment of β-cell function and insulin resistance indices improved. Whole-body fat percentage decreased by 1.08%, and whole-body muscle percentage increased by 0.97% after 24 months. Fatty liver indices and albuminuria improved significantly. The concentration of ketone bodies was elevated at the baseline but decreased after 24 months. There were no serious adverse events, including ketoacidosis. Conclusion Initial triple combination therapy with metformin, sitagliptin, and empagliflozin led to achievement of the glycemic target goal, which was maintained for 24 months without severe hypoglycemia but with improved metabolic function and albuminuria. This combination therapy may be a good strategy for drug-naïve patients with type 2 diabetes mellitus.