Changes in the Prevalences of Obesity, Abdominal Obesity, and Non-Alcoholic Fatty Liver Disease among Korean Children during the COVID-19 Outbreak.

PURPOSE: We aimed to investigate the prevalences of obesity, abdominal obesity, and non-alcoholic fatty liver disease (NAFLD) among children and adolescents during the coronavirus disease 2019 (COVID-19) outbreak. MATERIALS AND METHODS: This population-based study investigated the prevalences of obesity, abdominal obesity, and NAFLD among 1428 children and adolescents between 2018-2019 and 2020. We assessed the prevalences of obesity, abdominal obesity, and NAFLD according to body mass index, age, sex, and residential district. Logistic regression analyses were performed to determine the relationships among obesity, abdominal obesity, and NAFLD. RESULTS: In the obese group, the prevalence of abdominal obesity increased from 75.55% to 92.68%, and that of NAFLD increased from 40.68% to 57.82%. In age-specific analysis, the prevalence of abdominal obesity increased from 8.25% to 14.11% among participants aged 10-12 years and from 11.70% to 19.88% among children aged 13-15 years. In residential district-specific analysis, the prevalence of both abdominal obesity and NAFLD increased from 6.96% to 15.74% in rural areas. In logistic regression analysis, the odds ratio of abdominal obesity for NAFLD was 11.82. CONCLUSION: Our results demonstrated that the prevalences of abdominal obesity and NAFLD increased among obese Korean children and adolescents and in rural areas during the COVID-19 outbreak. Additionally, the prevalence of abdominal obesity increased among young children. These findings suggest the importance of closely monitoring abdominal obesity and NAFLD among children during COVID-19, focusing particularly on obese young children and individuals in rural areas.

Steroids - Exploitation

Corticosteroids, more specifically glucocorticoids are one of the most prescribed drugs. Corticosteroids are adrenal hormones that serve significant physiologic activities such as modulating glucose metabolism, protein catabolism, calcium metabolism, bone turnover control, immunosuppression, and down-regulation of inflammatory cascade. Corticosteroids are regarded life-saving due to their various effects and have been used therapeutically to treat broad range of auto-immune, rheumatologic, inflammatory, neoplastic, and viral illnesses.However, the therapeutic benefits of glucocorticoids are restricted by the adverse effects. The most serious side effects of corticosteroids are associated with the use of higher doses for longer periods and OTC availability in specific pharmacies, which leads to dependency, as well as its usage in mild and moderate server instances, which is contrary to guidelines. In the recent times the use of corticosteroids has been multiplied with the emergence of the Covid -19 pandemic. WHO and the standard guidelines has recommended the usage of corticosteroids in critically ill covid-19 patients but their usage in mild and moderate cases caused more harm than benefit. This illicit usage has resulted in the development of opportunistic fungal illnesses such as mucormycosis, posing an extra risk to patients in terms of quality of life and finances. Other adverse effects of systemic corticosteroids include morphological changes, increased blood sugar levels, delayed wound healing, infections, decreased bone density, truncal obesity, cataracts, glaucoma, blood pressure abnormalities, and muscle fibre atrophy.In this review we want to discuss the significance and detrimental effects of corticosteroids emphasizing on the recent times i.e., COVID-19.

Changes in physical activity and energy intake according to abdominal obesity in Korean adult men before and after COVID-19: Data from 2019 and 2020 Korea National Health and Nutrition Examination Survey (KNHANES).

PURPOSE: This study aimed to investigate changes in physical activity and energy intake according to abdominal obesity in Korean adult men before and after COVID-19. METHODS: Using data from the 2019 and 2020 KNHANES, the physical activity level measured by the Global Physical Activity Questionnaire (GPAQ) the physical activity level by GPAQ, number of days of walking and strength training, aerobic exercise, and total energy, protein, fat, carbohydrate, dietary fiber, and sugar intake for a total of 2,799 participants were analyzed. RESULTS: There were no changes in energy intake during the pandemic. The number of days of weekly walking was higher (2019, p = 0.006; 2020, p = 0.012) and strength training was significantly higher (2019, p < 0.0001; 2020 p < 0.0001) in the non-abdominal obesity group than in the abdominal obesity group before and after COVID-19. Strength training at least once a week suppressed abdominal obesity (0.628 times in 2019, p < 0.0001; 0.605 times in 2020, p < 0.0001). In addition, even when the total energy intake and age were adjusted for, strength training influenced the suppression of abdominal obesity (0.634 times in 2019, p < 0.0001; 0.614 times in 2020, p < 0.0001). CONCLUSION: Even with the change in the physical activity level, such as walking and aerobic exercise, due to the influence of social distancing measures, strength training influenced the suppression of abdominal obesity, regardless of the COVID-19 pandemic.

What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey.

Abdominal obesity (AO) is a serious public health threat due to its increasing prevalence and effect on the development of various non-communicable diseases. A multilevel analysis of the 2019 Demographic and Family Health Survey (ENDES in Spanish) using the Latin American Diabetes Association (ALAD in Spanish) cut-off points was carried out to evaluate the individual and contextual factors associated with AO in Peru. A total of 30,585 individuals 18 years and older were included in the analysis. The prevalence of AO among Peruvians in 2019 was 56.5%. Individuals of older age (aOR 4.64; 95% CI: 3.95-5.45), women (aOR 2.74; 95% CI: 2.33-3.23), individuals with a higher wealth index (aOR 2.81; 95% CI: 2.40-3.30) and having only secondary education (aOR 1.45; 95% CI: 1.21-1.75) showed increased odds of presenting AO compared to their peers. At a contextual level, only the Human Development Index (aOR 1.59; 95% CI: 1.17-2.16) was associated with the development of AO. A high Human Development Index is the contextual factor most associated with AO. It is necessary to formulate and implement new public health policies focused on these associated factors in order to reduce the prevalence of OA and prevent the excessive burden of associated noncommunicable diseases.

Anthropometry indicators that are most related to metabolic profiles in female college students

Metabolic syndrome is not a disease but is a set of several disorders and causes an increased risk of cardiovascular disease and diabetes mellitus complications. Several studies have shown that non-invasive approaches such as anthropometric measurements can be used for the early detection of metabolic syndrome. This study aimed to analyse the anthropometric indicators related to metabolic syndrome in female college students. The design of this research was cross sectional, with the number of subjects involved were as many as 163 female college students aged 19 to 24 years old. Purposive sampling was used in the sampling of this research. The independent variables in this study were the Waist-to-Height Ratio (WHtR), Waist-Hip Ratio (WHR), Body Mass Index (BMI), Sagittal Abdominal Diameter (SAD), and hip circumference. The dependent variable in this study is the metabolic syndrome component that has been converted into a metabolic syndrome score (cMetS). The analysis results showed that all anthropometric indicators, namely WHtR, BMI, SAD, waist circumference, hip circumference and WHR have a strong positive relationship with the metabolic syndrome score (p<0.001). BMI was the anthropometric indicator that is most associated with the metabolic profiles, such as systolic blood pressure (p<0.001), blood sugar (p<0.05), and HDL (p<0.001). Waist circumference was the anthropometric indicator that is most associated with triglycerides and metabolic syndrome score (p<0.001). Metabolic syndrome in female college students can be identified using anthropometric measurements, one of which is BMI and WHR which are very easy to measure and efficient. BMI and WHR have the strongest relationship and can be used to detect early risk of metabolic syndrome in female college students.

Features of characteristics of metabolic syndrome components in covid-19 patients associated with nonalcoholic fatty liver disease

Objectives: Covid-19 was affected all over the world and caused pandemic. Compelling data suggest that Covid-19 might influence all human parts. Host of studies showed that metabolic syndrome (MetS) was associated with nonalcoholic fatty liver disease (NAFLD). Purpose of the study was to evaluate the possible impact of MetS components in the course of Covid-19 in patients with NAFLD. Materials and Methods: 192 consecutive patients (aged 37-75 years;mean age 56.2 ± 13.2 years;male = 48%) with NAFLD and MetS who underwent Covid-19 were enrolled in this study. Patients were divided into two groups by 91 in each group according to the presence or absence of MetS. All anthropometric, laboratory and instrumental data were obtained and analyzed at baseline. All statistical analysis were performed by SPSS 24.0 software. Results: Patients with concomitant MetS (Group I) had severe Covid- 19 than those without it (P<0.05). 19% out of Group I patients had severe Covid-19 whilst 12% out of Group II patients had severe course of the invective disease. Multiple regression logistic analysis showed that among MetS components having abdominal obesity (AO) (2.7;1.6-4.4;CI 95%;P<0.05), insulin resistance (IR) (2.0;1.4-3.9' CI 95%;P<0.05), hypertension (HT) (1.4;1.3-2.4;CI 95%;P<0.05) tended have a severe Covid-19 in patients with NAFLD. When we separately analyzed by gender there was not significant changes between male and female (P[0.05). Conclusion: MetS was significantly associated with severe Covid-19 in patients with NAFLD. Among MetS components AO, IR and HT independently associated with severe Covid-19 regardless of gender. Further investigations are required with large amount of participants.

The Effect of 8 Weeks of Online High-Intensity Interval Training on Body Composition, Blood Lipids, Cytokines, and Quality of Life in Overweight Men during the COVID-19 Era

PURPOSE: The purpose of this study is to investigate the effect of high-intensity interval training (HIIT), using real-time video application programs, on the body composition, blood lipids, cytokines, and quality of life (QOL) of over-weight men. METHODS: The participants of this study were overweight men, aged <45 years, who voluntarily applied to the online notices for this study. The men had a body mass index (BMI) >28. Twenty people participated in this experiment and were divided into two groups: A HIIT group (n=10) and a control group (n=10). Both groups were pre-examined to determine body composition, dual-energy X-ray absorptiometry, and QOL indices and also underwent blood tests. The HIIT group underwent high-intensity interval training for 8 weeks (twice a week and 35 minutes per day) using real-time video programs. The main exercise program for HIIT was 20 seconds high-intensity (85–90% HRmax) exercise followed by 30 seconds exercise at a 60% HRmax. RESULTS: Comparison and analysis of the effects observed before and after the exercise revealed that the real-time online HIIT group showed reduced body fat (F=5.690, p=.028). Results of the blood tests showed that the high-density lipoprotein cholesterol (HDL;F=24.584, p=.001) was increased, while the low-density lipoprotein cholesterol (LDL;F=24.963, p=.001), triglycerides (TG;F=7.295, p=.015;), and total cholesterol (TC;F=14.934, p=.001) levels were decreased. No significant effects were observed on the insulin and c-reactive protein (CRP) levels. Finally, the QOL test results showed that the total score of the HIIT group had increased (F=190.815, p=.001). CONCLUSIONS: Online HIIT is a useful method that aids in reducing fat levels in obese men and improving their blood lipid profile and QOL during the COVID-19 pandemic. © 2022 Korean Society of Exercise Physiology.

Association between dietary saturated fat with cardiovascular disease risk markers and body composition in healthy adults: findings from the cross-sectional BODYCON study.

BACKGROUND: Diets high in saturated fatty acids (SFAs) and greater abdominal obesity are both associated with raised low-density lipoprotein cholesterol (LDL-C) concentrations, an independent cardiovascular disease (CVD) risk marker. Although reducing SFA intake is a public health strategy for CVD prevention, the role of body fat distribution on the relationship between SFA and LDL-C is unclear. Therefore, our objective was to investigate whether the association between dietary SFAs and LDL-C concentrations is related to body composition. METHODS: In the BODYCON (impact of physiological and lifestyle factors on body composition) study, 409 adults [mean age 42 ± 16 years and median BMI of 23.5 (21.5-25.9) kg/m2] underwent a measure of body composition by dual energy x-ray absorptiometry, assessment of habitual dietary intake using a 4-day weighed food diary and physical activity level using a tri-axial accelerometer. Blood pressure was measured, and a fasting blood sample was collected to determine cardiometabolic disease risk markers. Correlations between body composition, circulating risk markers and dietary macronutrients were assessed prior to multivariate regression analysis. The effect of increasing intakes of dietary SFA on outcome measures was assessed using ANCOVA after adjusting for covariates. RESULTS: Abdominal visceral adipose tissue (VAT) mass was moderately positively correlated with total cholesterol (TC), LDL-C, systolic blood pressure (SBP), diastolic blood pressure and HOMA-IR (rs = 0.25-0.44, p < 0.01). In multiple regression analysis, 18.3% of the variability in LDL-C was explained by SFA intake [% total energy (TE)], abdominal VAT mass, carbohydrate%TE and fat%TE intakes. When data were stratified according to increasing SFA%TE intakes, fasting TC, LDL-C and non-high-density lipoprotein-cholesterol were higher in Q4 compared with Q2 (p ≤ 0.03). SBP was higher in Q4 versus Q3 (p = 0.01). Android lean mass was also higher in Q3 versus Q1 (p = 0.02). Other anthropometric and CVD risk markers were not different across quartile groups. CONCLUSIONS: Although dietary SFA was found to explain 9% of the variability in LDL-C, stratification of data according to quartiles of SFA intake did not reveal a dose-dependent relationship with LDL-C concentration. Furthermore, this association appeared to be independent of abdominal obesity in this cohort. Clinical Trail registration: Trial registration: clinicaltrials.gov as NCT02658539. Registered 20 January 2016, https://clinicaltrials.gov/ct2/show/NCT02658539 .

Prevalence of metabolic syndrome in the United States National Health and Nutrition Examination Survey (nhanes) 2011-2018

Background: Metabolic syndrome (MetS) is a cluster of risk factors presaging the development of cardiovascular disease and diabetes. It is a risk factor for severe coronavirus disease 2019 (COVID-19). Purpose: To estimate the prevalence of MetS in the US National Health and Nutrition Examination Survey (NHANES) 2011-2018. Methods: This cohort study included 22370 eligible participants aged ≥20 years from the NHANES 2011-2018. MetS was defined as the presence of at least three of these components: central obesity, reduced high-density lipoprotein, elevated triglycerides, elevated blood pressure and elevated fasting blood glucose. The prevalence of MetS was estimated taking into account the complex sampling. The time trend was evaluated using logistic regression. Annual percentage changes (APC) were measured trend in MetS prevalence. Results: The prevalence of MetS was 36.2% (95% CI, 32.3-40.3), 34.8% (95% CI, 32.3-37.4), 39.9% (95% CI, 36.6-43.2) and 38.3% (95% CI, 35.3-41.3) in 2011-2, 2013-4, 2015-6, 2017-8, respectively (P for trend = 0.08). Among the MetS components, the prevalence of elevated glucose increased from 48.7% (95% CI, 45.9-51.5) in 2011-2 to 64.3% (95% CI, 61.0-67.4) in 2017-8 [P for trend <0.001;APC=11.7, (95% CI, 3.5-21.0)]. The prevalence of MetS in non-Hispanic Asian increased from 21.8% (95% CI, 16.7-28.0) in 2011-2 to 31.2% (95% CI, 27.4-35.3) in 2017-8 [P for trend <0.001;APC=14.6, (95% CI, 2.5-34.8)]. Conclusions: The prevalence of MetS remained stable during 2011 to 2018. Lifestyle modification is needed, especially among non-Hispanic Asians to prevent the metabolic syndrome and the associated risks of diabetes and cardiovascular disease.

Hemostatic alterations linked to body fat distribution, fatty liver, and insulin resistance.

OBJECTIVE: Obesity, in particular visceral obesity, and insulin resistance emerged as major risk factors for severe coronavirus disease 2019 (COVID-19), which is strongly associated with hemostatic alterations. Because obesity and insulin resistance predispose to thrombotic diseases, we investigated the relationship between hemostatic alterations and body fat distribution in participants at risk for type 2 diabetes. SUBJECTS: Body fat distribution (visceral and subcutaneous abdominal adipose tissue) and liver fat content of 150 participants - with impaired glucose tolerance and/or impaired fasting glucose - were determined using magnetic resonance imaging and spectroscopy. Participants underwent precise metabolic characterization and major hemostasis parameters were analyzed. RESULTS: Procoagulant factors (FII, FVII, FVIII, and FIX) and anticoagulant proteins (antithrombin, protein C, and protein S) were significantly associated with body fat distribution. In patients with fatty liver, fibrinogen (298 mg/dl vs. 264 mg/dl, p = 0.0182), FVII (99% vs. 90%, p = 0.0049), FVIII (114% vs. 90%, p = 0.0098), protein C (124% vs. 111%, p = 0.0006), and protein S (109% vs. 89%, p < 0.0001) were higher than in controls. In contrast, antithrombin (97% vs. 102%, p = 0.0025) was higher in control patients. In multivariate analyses controlling for insulin sensitivity, body fat compartments, and genotype variants (PNPLA3I148MM/MI/TM6SF2E167kK/kE), only protein C and protein S remained significantly increased in fatty liver. CONCLUSIONS: Body fat distribution is significantly associated with alterations of procoagulant and anticoagulant parameters. Liver fat plays a key role in the regulation of protein C and protein S, suggesting a potential counteracting mechanism to the prothrombotic state in subjects with prediabetes and fatty liver.

The association between the level of serum 25(OH) vitamin D, obesity, and underlying diseases with the risk of developing COVID-19 infection: A case-control study of hospitalized patients in Tehran, Iran.

BACKGROUND AND OBJECTIVES: The outbreak of COVID-19 has created a global public health crisis. Little is known about the predisposing factors of this infection. The aim of this study was to explore an association between the serum vitamin D level, obesity, and underlying health conditions, as well as the vulnerability to COVID-19 in the Iranian population. METHODS: We conducted a case-control study of 201 patients with coronavirus infection and 201 controls. Cases and controls were matched for age and gender. The study was carried out for 2 months (February 2020-April 2020) at Imam Khomeini Hospital Complex, Tehran, Iran. Serum 25(OH) vitamin D was measured using the enzyme-linked immunosorbent assay method. Information containing age, gender, clinical symptoms, body mass index, computed tomography scan findings, and underlying health conditions related to each participant were elicited from health records. RESULTS: A significant negative correlation (p = .02) was observed between the serum vitamin D level and developing coronavirus infection. Also, the results showed that the COVID-19 cases were more likely to be overweight than the controls (p = .023). Diabetes mellitus, hypertension, and respiratory infections were found in 20.89%, 9.65%, and 6.96% of cases, respectively. These underlying health conditions were not significantly different between cases and controls (p = .81). CONCLUSIONS: Vitamin D deficiency and obesity are two main predisposing factors associated with the vulnerability to coronavirus infection in the Iranian population.

Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity.

PURPOSE: Chest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored. METHODS: This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19. RESULTS: Patients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity (P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 (P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI (r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P < 0.001) as the only independent factors associated with high CXR severity scores. CONCLUSION: Abdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V.

The Upcoming Epidemic of Heart Failure in South Asia.

Currently, South Asia accounts for a quarter of the world population, yet it already claims ≈60% of the global burden of heart disease. Besides the epidemics of type 2 diabetes mellitus and coronary heart disease already faced by South Asian countries, recent studies suggest that South Asians may also be at an increased risk of heart failure (HF), and that it presents at earlier ages than in most other racial/ethnic groups. Although a frequently underrecognized threat, an eventual HF epidemic in the densely populated South Asian nations could have dramatic health, social and economic consequences, and urgent interventions are needed to flatten the curve of HF in South Asia. In this review, we discuss recent studies portraying these trends, and describe the mechanisms that may explain an increased risk of premature HF in South Asians compared with other groups, with a special focus on highly relevant features in South Asian populations including premature coronary heart disease, early type 2 diabetes mellitus, ubiquitous abdominal obesity, exposure to the world's highest levels of air pollution, highly prevalent pretransition forms of HF such as rheumatic heart disease, and underdevelopment of healthcare systems. Other rising lifestyle-related risk factors such as use of tobacco products, hypertension, and general obesity are also discussed. We evaluate the prognosis of HF in South Asian countries and the implications of an anticipated HF epidemic. Finally, we discuss proposed interventions aimed at curbing these adverse trends, management approaches that can improve the prognosis of prevalent HF in South Asian countries, and research gaps in this important field.