Journal of Obesity & Metabolic Syndrome最新文献

Background: Grip strength and muscle-strengthening activity (MSA) have been independently associated with type 2 diabetes mellitus (T2DM). However, analyses that consider grip strength in conjunction with MSA, while factoring in age and sex as well, are limited. Therefore, we aimed to investigate the association of relative grip strength (RGS) and MSA, separately and in combination, with T2DM, considering differences in age and sex.

Methods: A total of 27,702 participants aged 19 years and older were included from 2014 to 2021 from the Korea National Health and Nutrition Examination Survey. The association between RGS, MSA, and T2DM was assessed using logistic regression analysis. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for the independent and joint associations of RGS and MSA on T2DM prevalence.

Results: Highest (Q4) RGS levels were independently associated with lower odds of T2DM (OR, 0.39; 95% CI, 0.32 to 0.46; P for trend <0.001). Similarly, engaging in MSA 2 o 3 days per week was associated with lower odds of T2DM (OR, 0.80; 95% CI, 0.66 to 0.96), although the trend was not statistically significant (P for trend=0.775). In the joint analysis, participants with normal RGS and engaging in MSA ≥2 days per week had the lowest odds of T2DM (OR, 0.60; 95% CI, 0.51 to 0.70).

Conclusion: Higher RGS and engaging in MSA 2 to 3 days per week are independently associated with lower likelihood of T2DM. The combined association of normal RGS and MSA 2 days or more per week shows the greatest benefit for T2DM prevention.

Obesity and low muscle mass are major public health concerns, especially in older adults, due to their strong links to cardiovascular disease, cancer, and mortality. Beyond body mass index, body composition metrics including skeletal muscle, fat mass, and visceral adipose tissue offer deeper insights into nutrition and disease risk. These measures are essential for both cross-sectional assessments and longitudinal tracking, providing a clearer picture of health changes over time. Selecting body composition assessment tools requires balancing cost, practicality, accuracy, and data quality. The right tools enhance research, refine clinical assessments, and inform targeted interventions. Aligning methods with specific research or clinical goals improves disease risk stratification and advances personalized treatments. This review highlights the importance of integrating body composition assessment into research and clinical practice, addressing knowledge gaps across diverse populations and emphasizing its potential in advancing precision medicine. It also highlights recent advancements in body composition assessment techniques that warrant consideration when evaluating techniques for a specific application. Future efforts should focus on refining these tools, expanding their accessibility, and developing comprehensive risk models that incorporate body composition alongside behavioral, environmental, and genetic factors to improve disease prediction and prevention strategies.

Background: This study aimed to analyze the medical expenses covered by the Korean National Health Insurance Service (KNHIS) according to body mass index (BMI) in Korean adults.

Methods: We included 1,170,464 adults (623,498 men and 546,966 women) aged ≥19 years from the KNHIS-National Sample Cohort database (2016 to 2019) after excluding individuals with cancer. Average annual medical expenses per person and average annual medical expenses (Korean won [KRW], 1 United States dollar= 1,292 KRW) by BMI classification were assessed according to age and sex. Medical expenses comprised those for medication and combined outpatient department (OPD) and hospitalization services. Means and 95% confidence intervals were analyzed using a two-part model.

Results: Average annual medical expenses increased in higher BMI quintile groups (P for trend <0.001). Average annual medical expenses per person increased significantly as BMI increased in women but not in men. Average annual medical expenses were highest in the highest quintile of BMI among women and in all age groups. While BMI showed a U-shape association with medical expenses for OPD and hospitalization in young individuals, medical expenses for medication in all age groups and those for OPD and hospitalization in middle-aged individuals increased sharply in the highest BMI quintile.

Conclusion: All types of average annual medical expenses increased in higher BMI groups in Korean adults, particularly in women. Individuals with the highest BMI quintile incurred the greatest medical expenses among women and across all age groups. Strategies for preventing and managing obesity are warranted to reduce the burden of obesity-related medical expenses.

Ambient air pollution is a serious public health issue worldwide. A growing number of studies has highlighted the negative effects of air pollution on metabolic syndrome (MetS) and its components, including abdominal obesity, disorders of lipid metabolism, elevated blood pressure, and impaired fasting blood glucose. This review provides a brief overview of epidemiological and genetic interaction studies of the links between chronic exposure to ambient air pollution and MetS and its components, as well as plausible mechanisms underlying these relationships. The cumulative evidence suggests that long-term exposure to air pollution, especially particulate matter, increases the risk of MetS and its components. These associations can be partly modified by baseline characteristics, lifestyle, and health conditions. Gene-by-air-pollution interaction studies, limited to candidate genes in the past, have recently been conducted at an expanded genome-wide level. However, more such studies are needed to comprehensively understand the genetics involved in the association between air pollution and MetS. Mechanistic evidence suggests potential biological pathways, including inflammation, oxidative stress, and endothelial dysfunction.

Obesity is a major global health concern, with diet playing a crucial role in its development and treatment. Ultra-processed foods (UPFs) have become prevalent in diets due to changes in the food environment. These foods are energy-dense; high in fat, sugars, or salt; and low in fiber, protein, vitamins, and minerals, raising concerns about their effects on health. In addition to traditional research focused on nutrients, food, and dietary quality, growing evidence has linked UPF consumption to obesity. Therefore, this study provides a comprehensive review of the levels and trends of UPF consumption, current epidemiological evidence on the association between UPF consumption and obesity, and UPFs' potential role in the etiology of obesity and weight gain. Additionally, this study reviews strategies for reducing UPF consumption and outlines future studies of the link between UPF consumption and obesity.

Mendelian randomization (MR) is a statistical method that uses genetic variants as instrumental variables to estimate the causal effect of exposure on an outcome in the presence of unmeasured confounding. In this review, we argue that it is crucial to acknowledge the instrumental variable assumptions in MR analysis. We describe widely used MR methods, using an example from obesity-related metabolic disorders. We describe situations in which instrumental variable assumptions are violated and explain how to evaluate these violations and employ robust methods for accommodating such violations.

Background: Pediatric obesity is a global public health concern. South Korea is witnessing a notable increase in obesity rates among children and adolescents, despite various governmental interventions. Parents play a crucial role in preventing and managing pediatric obesity, as they are typically the primary observers of their child's weight and daily habits.

Methods: This study involved 10 parents of overweight or obese children and adolescents in South Korea, identified from a 2023 Student Health Examination. Focus group interviews were conducted to explore participants' experiences, followed by a rigorous qualitative content analysis of the data.

Results: The analysis revealed one main theme, parental roles and challenges in managing pediatric obesity, that encompassed five categories: parental awareness and perception of pediatric obesity; causes of pediatric obesity; parental strategies for managing obesity; barriers to management; and support systems and resources. Parental recognition of their child's obesity was predominantly initiated through student health examinations at school, and the cause of obesity was multifactorial. Parents use various strategies, such as dietary changes and exercise promotion, but face barriers, including stigma and resource constraints. Parents demand comprehensive support from schools, healthcare providers, and community programs to effectively manage obesity.

Conclusion: These findings highlight the need for tailored interventions to address parents' specific obstacles in managing pediatric obesity. Enhancing parental awareness, providing clear information, and strengthening support systems are essential for preventing and managing pediatric obesity in South Korea.

The worldwide prevalence of obesity is a key factor involved in the epidemic proportions reached by chronic societal diseases. A revolution in the study of obesity has been the development of imaging techniques for the measurement of its regional distribution. These imaging studies have consistently reported that individuals with an excess of visceral adipose tissue (VAT) were those characterized by the highest cardiometabolic risk. Excess VAT has also been found to be accompanied by ectopic fat deposition. It is proposed that subcutaneous versus visceral obesity can be considered as two extremes of a continuum of adiposity phenotypes with cardiometabolic risk ranging from low to high. The heterogeneity of obesity phenotypes represents a clinical challenge to the evaluation of cardiometabolic risk associated with a given body mass index (BMI). Simple tools can be used to better appreciate its heterogeneity. Measuring waist circumference is a relevant step to characterize fat distribution. Another important modulator of cardiometabolic risk is cardiorespiratory fitness. Individuals with a high level of cardiorespiratory fitness are characterized by a lower accumulation of VAT compared to those with poor fitness. Diet quality and level of physical activity are also key behaviors that substantially modulate cardiometabolic risk. It is proposed that it is no longer acceptable to assess the health risk of obesity using the BMI alone. In the context of personalized medicine, precision lifestyle medicine should be applied to the field of obesity, which should rather be referred to as 'obesities.'