Association between dynapenic abdominal obesity and arthritis among the middle-aged and older Chinese: a longitudinal study.

BACKGROUND: This study aimed to assess the longitudinal association between dynapenic abdominal obesity and new-onset arthritis among the middle-aged and older Chinese population. METHODS: We included 6863 participants from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Dynapenia was defined as handgrip strength < 28 kg for males, and < 18 kg for females. Abdominal obesity was defined as a waist circumference ≥ 90 cm for males and ≥ 85 cm for females. Based on the definitions, all participants were divided into four groups: no dynapenia and no abdominal obesity (ND/NAO), abdominal obesity alone (ND/AO), dynapenia alone (D/NAO), and dynapenia and abdominal obesity (D/AO). The association between dynapenic abdominal obesity and new-onset arthritis was assessed by sex using the Poisson regression models. RESULTS: After a four-year follow-up, 1272 (18.53%) participants reported new-onset arthritis. Those in the D/AO group had a significantly increased risk of new-onset arthritis compared to those in the ND/NAO group (adjusted relative risk (RR): 1.34, 95% confidence interval (CI): 1.01-1.77). In females, the ND/AO (RR: 1.21, 95% CI: 1.03-1.43) and D/AO (RR: 1.39, 95% CI: 1.01-1.93) groups were associated with a higher risk of arthritis. This significant association was not observed in males. CONCLUSIONS: Our results indicated that the combined effect of dynapenia and abdominal obesity significantly increased the risk of new-onset arthritis in females, but this association was not observed in males.

Prevalence of metabolic syndrome among adults treated at a district hospital outpatient department.

BACKGROUND:  Metabolic syndrome (MetS) is a collection of risk factors, including hypertension, high fasting blood glucose, high fasting triglyceride and low high-density lipoprotein (HDL) cholesterol levels that may increase the risk for cardiovascular disease and type 2 diabetes. The study aimed to determine the prevalence of MetS among adults attending a Free State district hospital's outpatient department. METHODS:  A cross-sectional study included a consecutive sample of consenting patients 18 years and older from 18 October 2021 to 19 November 2021. Patients' waist circumference was measured, and data were extracted from patients' files. RESULTS:  The 409 participants were predominantly females (64.2%). The median age was 60 years. Triglyceride and HDL cholesterol levels were available for 27.4% and 26.9% of patients, respectively. Of the 278 (68.0%) patients with sufficient information to determine their MetS status, 187 (67.3%) had MetS. Of the males with sufficient information, 49.1% (n = 56/114) had MetS compared to 79.9% (n = 131/164) of the females with sufficient information (p  0.001). The age group 60-79 years had the highest prevalence (76.7%, p  0.001). In all race groups, at least two-thirds of patients had MetS (p = 0.831). CONCLUSION:  Incomplete patient notes and failure to do investigations led to a third of patients not having sufficient information to determine their MetS status. In patients with sufficient information, a high prevalence of MetS was found.Contribution: This study highlights the challenges of determining MetS retrospectively in an outpatient population and the need for completeness of medical note keeping and routine investigations in high-risk patients. It also notes the high prevalence of MetS.

Association between cardiometabolic Index (CMI) and endometriosis: a cross-sectional study on NHANES.

BACKGROUND: Endometriosis is intricately linked to metabolic health. The Cardiometabolic Index (CMI), a novel and readily accessible indicator, is utilized to evaluate metabolic status. This study seeks to investigate the potential correlation between CMI and endometriosis. METHODS: Data from four consecutive survey cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006 were utilized. This included adult females with self-reported diagnoses of endometriosis and complete information required for calculating the CMI. The calculation formula for CMI is Triglycerides(TG) / High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was employed to investigate the linear association between CMI and endometriosis. Subgroup analyses were performed to explore potential influencing factors. Additionally, the linear relationship was validated using restricted cubic spline (RCS) curve plotting and threshold effect analysis. RESULTS: This study, based on the National Health and Nutrition Examination Survey (NHANES), included a cohort of 2,224 adult women. The multivariable logistic regression analysis demonstrated that in the fully adjusted model, individuals with the highest CMI exhibited a 78% elevated likelihood of endometriosis compared to those with the lowest CMI (OR = 1.78; 95% CI, 1.02-3.11, P < 0.05). The subgroup analysis indicated that there were no significant interactions between CMI and specific subgroups (all interaction P > 0.05), except for the subgroup stratified by stroke status (P < 0.05). Additionally, the association between CMI and endometriosis was linear, with a 20% increase in the association for each unit increase in CMI when CMI > 0.67 (OR = 1.20; 95% CI, 1.05-1.37, P < 0.01). CONCLUSION: The study found that CMI levels are closely correlated with endometriosis, with this correlation increasing when the CMI exceeds 0.67. This finding implies that by regularly monitoring CMI levels, physicians may be able to screen women at risk for endometriosis at an earlier stage, thereby enabling the implementation of early interventions to slow the progression of the disease. To further validate these findings, larger-scale cohort studies are required to support the results of this research.

Randomized study of the effects of empagliflozin and topiramate dual therapy on anthropometric and metabolic indices in non-diabetic individuals with overweight/obesity on a calorie-restricted diet.

OBJECTIVES: The objective of this study was to evaluate the effectiveness of the combined use of empagliflozin (EMPA) and topiramate (TPM) versus a placebo in overweight/obese individuals without diabetes on a calorie-restricted diet. METHODS: In this study, 44 non-diabetic and overweight/obese subjects who were on a calorie restricted diet were randomly assigned into 2 groups: (1) Participants received a 10 mg EMPA tablet daily plus TPM tablet (at the 1st week 25 mg once a day and from the second week 25 mg twice a day); (2) Participants received an empagliflozin placebo (daily) plus a topiramate placebo (as mentioned for topiramate tablet in group 1), for 12 weeks. At baseline and weeks 4, 8, 12, weight, height, body mass index (BMI), waist circumference (WC), and body composition were evaluated. Before and after the intervention, blood pressure, C reactive protein, and glucose and lipid profile parameters were measured. RESULTS: The EMPA/TPM group, compared to placebo, had a greater percent change of weight at week 12 (- 8.92 ± 1.80 vs. - 4.93 ± 1.17). The intervention group had a greater percent change of fat mass and fat percent at week 12 (P < 0.05). However, there was no difference in the percent of change in fat-free percent between the two groups at week 12 (P = 0.577). Within-group analysis found a significant reduction in SBP, DBP, FBS, insulin, HOMA-IR, TC, LDL, HDL, TG, and CRP in both groups (P < 0.05). At week 12, no statistically significant difference was observed between the two groups in any of mentioned variables (P > 0.05). CONCLUSION: In non-diabetic overweight/obese individuals, the combination of EMPA/TPM and calorie restriction led to a notable decrease in body weight and was generally well-tolerated. Further research is required to evaluate the potential advantages of utilizing this combination for sustained weight management in the long run. LEVEL I: Randomized clinical trial.

Development and cross-validation of prediction equations for body composition in adult cancer survivors from the Korean National Health and Nutrition Examination Survey (KNHANES).

Epidemiological studies frequently use indices of adiposity related to mortality. However, no studies have validated prediction equations for body composition in adult cancer survivors. We aimed to develop and cross-validate prediction equations for body fat mass (BFM), lean body mass (LBM), trunk fat mass (TFM), and appendicular lean mass (ALM) in adult cancer survivors using sociodemographic, anthropometric, and laboratory test data. This study included adult cancer survivors from the Korean National Health and Nutrition Examination Survey 2008-2011 with complete data on Dual-energy X-ray absorptiometry (DXA) measurements. A total of 310 participants were randomly divided into development and cross-validation groups (5:5 ratio). Age, height, weight, waist circumference, serum creatinine levels, and lifestyle factors were included as independent variables The predictive equations were developed using a multiple linear regression and their predictive performances were primarily evaluated with R2 and Concordance Correlation Coefficient (CCC). The initial equations, which included age, height, weight, and waist circumference, showed different predictive abilities based on sex for BFM (total: R2 = 0.810, standard error of estimate [SEE] = 3.072 kg, CCC = 0.897; men: R2 = 0.848, SEE = 2.217 kg CCC = 0.855; women: R2 = 0.791, SEE = 2.194 kg, CCC = 0.840), LBM (total: R2 = 0.736, SEE = 3.321 kg, CCC = 0.838; men: R2 = 0.703, SEE = 2.450 kg, CCC = 0.774; women: R2 = 0.854, SEE = 2.234 kg, CCC = 0.902), TFM (total: R2 = 0.758, SEE = 1.932 kg, CCC = 0.844; men: R2 = 0.650, SEE = 1.745 kg, CCC = 0.794; women: R2 = 0.852, SEE = 1.504 kg, CCC = 0.890), and ALM (total: R2 = 0.775, SEE = 1.726 kg, CCC = 0.876; men: R2 = 0.805, SEE = 1.320 kg, CCC = 0.817; women: R2 = 0.726, SEE = 1.198 kg, CCC = 0.802). When additional factors, such as creatinine, smoking, alcohol consumption, and physically inactive were included in the initial equations the predictive performance of the equations were generally improved. The prediction equations for body composition derived from this study suggest a potential application in epidemiological investigations on adult cancer survivors.

The negative association between sodium-driven nutrient pattern and telomere length: the chain mediating role of diastolic pressure and waist circumference.

BACKGROUND: Numerous single nutrients have been suggested to be linked with leukocyte telomere length (LTL). However, data on nutrient patterns (NPs), particularly in Chinese population, are scarce. This study aimed to examine the relationship between nutrient-based dietary patterns and LTL, and the potential role of metabolic factors. METHODS: Dietary data was obtained via 24-hour food recalls, and principal component analysis (PCA) was used to identify NPs. LTL was assessed using a real-time PCR assay. Multiple linear regression was conducted to determine the association between NPs and LTL. The potential role of metabolism among them was analyzed using mediation models. RESULTS: A total of 779 individuals from northern China were included in this cross-sectional analysis. Five main nutrient patterns were identified. Adjusted linear regression showed that the "high sodium" pattern was inversely associated with LTL (B=-0.481(-0.549, -0.413), P < 0.05). The "high vitamin E-fat" pattern exhibited a positive correlation (B = 0.099(0.029, 0.170), P < 0.05), whereas the "high vitamin A-vitamin B2" pattern was negatively correlated with LTL (B=-0.120(-0.183, -0.057), P < 0.05), respectively. No significant associations were observed for the remaining nutrient patterns. The mediation model demonstrated that diastolic blood pressure and waist circumference could individually and collectively mediate the negative impact of the "high sodium" pattern on LTL (BDBP=-0.0173(-0.0333, -0.0041), BWC=-0.0075(-0.0186, -0.0004), Bjoint=-0.0033 (-0.0072, -0.0006), all P < 0.05). Moreover, glycosylated hemoglobin and non-high-density lipoprotein cholesterol mediate the relationship between the "high vitamin E-fat" pattern and LTL (BHbA1c=0.0170(0.0010,0.0347), Bnon-HDL-C= 0.0335 (0.0067, 0.0626), all P < 0.05), respectively. CONCLUSIONS: The "high sodium" and "high vitamin E-fat" nutrient patterns demonstrated negative and positive associations with LTL and metabolic indicators may play complex mediating roles in these relationships.

Differences in sarcopenia indices in elderly Japanese women and their relationships with obesity classified according to waist circumference, BMI, and body fat percentage.

BACKGROUND: Sarcopenic obesity (SO) is defined as a decrease in lean body mass and an increase in body fat mass (BFM) due to aging. Detecting SO in elderly women is important from the perspective of extending healthy life expectancy. While various indices of SO are currently used, there is no global consensus regarding diagnostic criteria for SO. This study aimed to examine the relationship between obesity indices (waist circumference (WC), body mass index (BMI), and body fat percentage (BFP)) and sarcopenia indices (total body muscle mass (TBM), appendicular lean mass (ALM), skeletal mass index (SMI)), and physical function (gait speed (GS), handgrip strength (HGS)). METHODS: Subjects were 170 community-dwelling healthy elderly women aged 65-79 years (mean: 72.7 ± 5.78 years) who underwent measurements for WC, BMI, and BFP. A WC of ≥ 90cm was defined as the obese group, BMI was determined as weight (kg) divided by height squared (m2) and a cutoff of ≥ 25 kg/m2 was used to define the obesity group. BFM was measured using the bioelectrical impedance analysis (BIA) method and BFP was calculated from body weight and a cutoff of ≥ 30% was used to define the obesity group. TBM and ALM (kg) were measured using the BIA method, ALM (kg) was corrected for height (m2) to obtain SMI (kg/m2). Physical function was assessed by GS and HGS, which were measured by the 5-m walk test and a digital grip strength meter, respectively. RESULTS: When obesity was assessed using BMI, WC and BFP, obese individuals had higher TBM, ALM and SMI, and lower GS among the sarcopenia indicators. HGS did not differ significantly between the non-obese and obese groups. CONCLUSION: Our findings suggest HGS is thought to reflect muscle strength without being affected by obesity indices, suggesting that it may be useful in detecting possible sarcopenia in obese individuals.

Associations between academic achievement and weight status in a multi-ethnic sample of New Caledonian adolescents.

Several studies have reported a negative association between obesity and academic achievement in school-aged children. In the Pacific region, the prevalence of adolescent overweight is high, but no study has considered issues of academic achievement in this population. To rectify this, we examined relationships between academic achievement and weight status in a multi-ethnic (European and Kanak) sample of New Caledonian adolescents. Objective anthropometric measures (height, weight, waist circumference) were obtained from European and Kanak New Caledonian adolescents (N = 526) between July 2018 and April 2019. Body mass index (BMI) and waist-to-height ratios (WHtR) were used as proxies of weight status. Ethnicity was self-reported and additional sociodemographic data (socioeconomic status, gender identity, urbanicity of residence, school remoteness) were extracted from relevant databases. Academic achievement scores were obtained from ninth grade national test in language, mathematics, history-geography, and sciences. Bivariate correlations showed that the associations between anthropometric indicators of weight status and academic achievement were significant in adolescents of European, but not Kanak, origin. Underweight and normal-weight European adolescents had significantly higher academic achievement than Kanak adolescents at the same weight categories. Additionally, BMI-z was significantly associated with academic achievement after controlling for socio-demographic variables, but only in adolescents of European origin. Weight status appears to be associated with academic achievement in New Caledonia, but only in adolescents of European origin. Ethno-cultural understandings and experiences may shape the ways in which weight status affects academic achievement in this context.

Association between waist circumference and sleep disorder in the elderly: Based on the NHANES 2005-2018.

The existing data do not consistently support the link between elderly adults' waist circumferences and sleep disorders. This study aimed to evaluate whether waist circumference was connected with sleep disorder in the elderly. This cross-sectional study utilized data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) regarding waist circumference, sleep disorders, and confounding factors. Included in the study were participants older than 60 who completed sleep questionnaires and waist circumference measurements. Using a multivariate logistic regression model and subgroup analyses, the relationship between waist circumference and sleep disorder was evaluated. To explore the non-linear relationship, restricted cubic spline (RCS) with three knots coupled with a logistic regression model to assess the dose-response relationship between waist circumference (continuous variables) and sleep disorder. A total of 2,545 (Weighted 14,682,916.3) elderly participants with complete information were included in the analysis and 312 (Weighted 1,777,137.8) subjects met the definition of sleep disorder. Compared with participants without sleep disorder, those with sleep disorder had a higher waist circumference (100.80 cm vs. 108.96 cm, P< 0.001). The results of the multivariable adjusted logistic regression model suggested that those in quartiles 4 (≥ 75th percentile) for their waist circumference had higher odds of sleep disorder [adjusted odds ratio (AOR) = 2.75, 95% confidence interval (CI) = 1.66-4.54, P < 0.001] compared with those in quartile 1. The RCS result showed that the OR of sleep disorder and waist circumference displayed a linear relationship (P <0.001, Non-linear P = 0.642). Age and gender subgroup analysis revealed comparable relationships between waist circumference and sleep disorder among elderly individuals. Waist circumference was associated with sleep disorders in the elderly. There was a dose-response relationship between waist circumference and the likelihood of sleep disorder. Those with a larger waist circumference were more likely to have a sleep disorder than those with a smaller waist circumference.

Sex disparities in the associations of overall versus abdominal obesity with the 10-year cardiovascular disease risk: Evidence from the Indonesian National Health Survey.

BACKGROUND: Cardiovascular diseases (CVDs) are a leading cause of disability-adjusted life years in Indonesia. Although obesity is a known risk factor for CVDs, the relative contributions of overall versus abdominal obesity are less clear. We aimed to estimate the 10-year CVD risks of the Indonesian population and investigate the separate and joint associations of overall and abdominal obesity with these risks. METHODS: Using nationally representative data from the Indonesian Health Survey (n = 33,786), the 10-year CVD risk was estimated using the Framingham Score. The score was calculated as %-risk, with >20% indicating high risk. Overall obesity was measured by BMI, while abdominal obesity was measured by waist circumference. We performed sex-stratified multivariable linear regressions to examine the associations of standardized units of BMI and waist circumference with the 10-year CVD risk, mutually adjusted for waist circumference and BMI. RESULTS: Mean (SD) 10-year CVD risks were 14.3(8.9)% in men and 8.0(9.3)% in women, with 37.3% of men and 14.1% of women having high (>20%) risks. After mutual adjustment, one SD in BMI and waist circumference were associated with 0.75(0.50-1.01) and 0.95(0.72-1.18) increase in the %-risk of CVD in men, whereas in women, the ß(95% CIs) were 0.43(0.25-0.61) and 1.06(0.87-1.26). CONCLUSION: Abdominal fat accumulation showed stronger associations with 10-year CVD risks than overall adiposity, particularly in women. Although men had higher overall CVD risks, women experienced more detrimental cardiovascular effects of obesity. Raising awareness of abdominal/visceral obesity and its more damaging cardiovascular effects in women is crucial in preventing CVD-related morbidity and mortality.

Association of obesity indicators with cognitive function among US adults aged 60 years and older: Results from NHANES.

BACKGROUND: Midlife obesity is a significant risk factor for Alzheimer's disease, but the effects of obesity on cognitive function, either detrimental or beneficial, are controversial among older individuals. This study aims to assess this associations of body mass index (BMI) or waist circumference (WC) with cognitive function among United States older individuals. METHODS: A cross-sectional research study was conducted utilizing data from the 2011 to 2014 National Health and Nutrition Examination Survey (NHANES). Initially, the study compared differences in cognitive function among the normal weight, overweight, and obese groups. Subsequently, we examined the relationships between BMI or WC and cognitive function using multivariate linear regression. Finally, structural equation models were constructed to assess the relationships among body shape, lifestyle, and cognitive function pathways. RESULTS: The study included 2254 individuals. Obese subjects had lower scores in the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word list learning tasks (CERAD-WL) (χ2 = 7.804, p = .020) and digit symbol substitution test (χ2 = 8.869, p = .012). The regression analysis showed that WC was negatively connected with the CERAD-WL score after adjusting for confounding factors (ß = -.029, p = .045). Moreover, WC had a mediating effect on the path from lifestyle to cognition (CERAD-WL). However, there was no difference in the CERAD delayed recall score and the animal fluency test between the obese and the other groups. CONCLUSIONS: Obese older adults exhibited impaired cognitive abilities in terms of learning and working memory performance. The impact of lifestyle on cognition was mediated by obesity-related anthropometric indices. Sleep, physical activity, and diet influenced the degree of obesity, which subsequently determined cognitive function. Prioritizing weight management in elderly people is crucial for safeguarding cognitive function.

The Chinese visceral adiposity index: a novel indicator more closely related to cardiovascular disease than other abdominal obesity indices among postmenopausal women.

BACKGROUND: Several abdominal obesity indices including waist circumference (WC), waist-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and Chinese visceral adiposity index (CVAI) were considered effective and useful predictive markers for cardiovascular disease (CVD) in general populations or diabetic populations. However, studies investigating the associations between these indices among postmenopausal women are limited. Our study aimed to investigate the associations of the five indices with incident CVD and compare the predictive performance of CVAI with other abdominal obesity indices among postmenopausal women. METHODS: A total of 1252 postmenopausal women without CVD at baseline were analyzed in our investigation based on a 10-year follow-up prospective cohort study. Link of each abdominal obesity index with CVD were assessed by the Cox regression analysis and the Kaplan-Meier curve. The receiver operating characteristic (ROC) curves were drawn to compare the predictive ability for CVD. RESULTS: During the median follow-up of 120.53 months, 121 participants newly developed CVD. Compared to quartile 1 of LAP and CVAI, quartile 4 had increased risk to develop CVD after fully adjusted among postmenopausal women. When WC, VAI and CVAI considered as continuous variables, significant increased hazard ratios (HRs) for developing CVD were observed. The areas under the curve (AUC) of CVAI (0.632) was greatly higher than other indices (WC: 0.580, WHR: 0.538, LAP: 0.573, VAI: 0.540 respectively). CONCLUSIONS: This study suggested that the abdominal obesity indices were associated with the risk of CVD excluded WHR and highlighted that CVAI might be the most valuable abdominal obesity indicator for identifying the high risk of CVD in Chinese postmenopausal women.

Identifying reliable obesity indices for hyperuricemia among middle-aged and elderly populations: a longitudinal study.

BACKGROUND: Given the established link between obesity and hyperuricemia (HUA), the research want to investigate the relationship between different obesity indices and HUA, and further analyze which obesity index can better predict HUA. METHODS: The data were obtained from a longitudinal study involving middle-aged and elderly populations in Dalian, China. The research encompassed individuals who exhibited typical uric acid levels initially and tracked their progress over a three-year period. 8 obesity indices were evaluated retrospectively. Subgroup analyses were conducted to identify susceptible populations. Restricted cubic splines (RCS) were utilized to model the dose-response relationships between obesity indices and HUA. Receiver operating characteristic (ROC) curves were applied to visualize and compare the predictive value of both traditional and new obesity indices for HUA. RESULTS: Among 4,112 individuals with normal baseline uric acid levels, 950 developed HUA. Significant associations with HUA were observed for body mass index (BMI), waist circumference (WC), body roundness index (BRI), cardiometabolic index (CMI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), and abdominal volume index (AVI). Subgroup analysis indicated that all obesity indices proved more effective in assessing the onset of HUA in women without Metabolic Syndrome (MetS). Further analysis using RCS revealed non-linear dose-response relationships between LAP, CMI, VAI, and HUA in males, with similar non-linear relationships observed for all indices in females. The results from the ROC curves indicate that LAP may serve as a better predictor of HUA in males, and CVAI may serve as a better predictor in females. CONCLUSION: HUA is closely associated with obesity indices. Among females, CVAI emerges as the preferred predictive index for HUA. In males, LAP emerges as the preferred predictive index for HUA.

Sex differences in the secular change in waist circumference relative to BMI in five countries from 1997 to 2020.

OBJECTIVE: The objective of this study was to quantify changes over time in waist circumference (WC) relative to BMI by sex in the Americas (United States, Mexico, Chile, and Peru) and England. METHODS: Data from adults aged 25 to 64 years between 1997 and 2020 were analyzed, and US data were stratified by race and ethnicity groups. Sex-specific BMI and WC means and obesity and abdominal obesity prevalence were compared between the first and last surveys. Using data from all survey years, secular changes across the BMI and WC distributions were estimated, applying quantile regression models. BMI was added as a predictor of WC to estimate secular changes in WC relative to BMI. Interaction terms were included in all models to evaluate differences by sex. RESULTS: BMI and WC (except for Peru) showed larger secular increases at the upper-tails of the distributions in both sexes. Increases at the 50th and 75th WC percentiles relative to BMI were more pronounced in women than in men, with larger increases in US non-Hispanic White individuals and in England. In men, increases in WC independent of BMI were most evident in Mexico. CONCLUSIONS: Disease risk associated with visceral fat is potentially underestimated by national surveillance efforts that quantify only secular changes in BMI.

Prevalence of sarcopenic obesity: comparison of different diagnostic criteria and exploration of optimal screening methods.

BACKGROUND AND AIMS: Despite concerns on the adverse health outcomes of sarcopenic obesity (SO), exploration regarding the applicability of different diagnostic criteria and the optimal screening methods is still lacking. This study aims to compare the prevalence and diagnostic agreement of SO under four diagnostic criteria in Chongming, Shanghai, China and assess the diagnostic value of nine screening methods for SO. METHODS: The study population included older people aged ≥ 65 years. The Asian Working Group for Sarcopenia-2019 (AWGS-2019) was used to diagnose sarcopenia. Obesity was defined using percentage of body fat (PBF), percent of body fat exceeding the 60th percentile (60% PBF), body mass index (BMI) and waist circumference (WC). The four diagnostic criteria for SO were AWGS + PBF, AWGS + 60% PBF, AWGS + BMI and AWGS + WC. Nine screening methods were the sarcopenia questionnaire [the questionnaire with five items to screen for sarcopenia (SARC-F), the addition of calf circumference to the SARC-F (SARC-CalF), and the addition of elderly age and BMI to the SARC-F (SARC-F + EBM)] combined with commonly used obesity indicators. Cohen's kappa compared agreement between diagnostic criteria, whilst sensitivity, specificity, receiver operating characteristics (ROC) and area under the ROC curve (AUC) compared the diagnostic value of nine screening methods. RESULTS: A total of 1407 older people were enrolled. The prevalence of SO ranged from 0.3 to 9.9%. The highest agreement between AWGS + 60% PBF and AWGS + PBF. When the AWGS + PBF was used as the 'gold standard' (due to its high agreement and high prevalence), SARC-CalF + PBF had the highest AUC value, and SARC-F + BMI had the highest sensitivity. The recommended cut-off values for SARC-F + BMI are SARC-F ≥ 1 score and BMI ≥ 19.845 kg/m², and the recommended cut-off values for SARC-CalF + PBF are SARC-CalF ≥ 5 score and PBF ≥ 34.55%. CONCLUSION: The prevalence of SO varied greatly amongst the four diagnostic criteria. AWGS + PBF is recommended for diagnosing SO in older people. SARC-F + BMI and SARC-CalF + PBF can be used as screening methods for SO.

Combination of diethylpropion with dietary intervention results in body weight and fat loss with preserved muscle mass in obese patients.

Combining pharmacotherapy with lifestyle intervention is recommended for obese class II patients who fail lifestyle therapy and for obese class I patients. Diethylpropion, an obesity medication, has been approved for use in Indonesia, which is an Asia-Pacific country. This retrospective study aimed to assess the short-term effects of diethylpropion on weight and fat loss in obese patients in Indonesia. Secondary data were collected from 142 patients' medical records with a body mass index ≥ 25 kg/m2 who underwent short-term diethylpropion treatment for 84 days between January 2022 and November 2023 at the Kimia Farma Nutrition Clinic in Bandung, Indonesia. Blood pressure, body weight, height, waist circumference, and body composition were assessed at each follow-up visit to determine the fat and muscle mass. Patients were prescribed diethylpropion 25 mg 3 times daily every 2 weeks together with dietary intervention. Kruskal-Wallis test was used to analyze the changes in body weight, skeletal muscle, fat mass, and waist circumference after the diethylpropion therapy. Mann-Whitney test was used for the relation between age, sex, and body mass index with weight loss on the last day of follow-up. Simple linear regression analysis was also performed to identify the correlation between weight loss and therapy duration. This study showed body weight reduction of up to 9.5 ±â€…3 kg (10 ±â€…0.0%) (P = .008) on 84 days of treatment. Significant fat loss 11.5 ±â€…4.6 kg (20.5 ±â€…0.0%) (P = .005) was also reported in our study without significant loss of muscle mass -2.4 ±â€…4.6 kg (3.6 ±â€…1.3%) (P = .58). Waist circumference was insignificantly reduced by 5.6 ±â€…0.0 cm (4.9 ±â€…2.8%) (P = .21) after 84 days of diethylpropion therapy. This study revealed no significant changes in patient systolic and diastolic pressures despite showing mild increases after 70 days. The combination of diethylpropion and an appropriate diet resulted in weight loss accompanied by significant fat loss and preserved muscle mass without an increase in blood pressure during the 12-week treatment period.

Efficacy of lifestyle interventions to treat pediatric obesity: A systematic review and multivariate meta-analysis of randomized controlled trials.

The aim of this study was to provide a quantitative synthesis of the effects of randomized controlled pediatric lifestyle interventions in treating obesity among 11-17-year-old children. We conducted a systematic review and meta-analysis on the randomized controlled trials, consisting of actual exercise training and nutrition education, published between January 2000 and August 2022. The initial search yielded 2598 articles, with eight articles meeting the inclusion criteria. The articles were analyzed using a multivariate random effects model. The primary outcome variables were body mass index (BMI), standardized BMI (BMIz), and waist circumference (WC). Our analyses showed that lifestyle interventions were efficacious in improving BMI (-1.77 kg/m2, 95% CI [-2.70, -0.83], p < 0.001), BMIz (-0.30, 95% CI [-0.45, -0.16], p < 0.001), and WC (-3.32 cm, 95% CI [-5.35, -1.29], p < 0.001) in children with overweight and obesity. In addition, moderation analyses suggested that the efficacy of the lifestyle interventions correlated positively with participants' weight status and was enhanced when an intervention was boosted with a longer intervention duration and higher frequency. In conclusion, the current evidence suggests that lifestyle interventions are efficacious in treating children with obesity. The available evidence further indicates that duration, frequency, along weight status, were moderating the effectiveness of these lifestyle interventions.

Association of adiposity, serum vitamin D, and dietary quality with cardiometabolic risk factors in children aged 6-12 years: findings from SEANUTS II Malaysia.

Increased cardiometabolic risk among children is increasingly becoming a concern, with evidence indicating that obesity, diet, and serum 25-hydroxyvitamin D (25(OH)D) are associated with cardiometabolic risk. However, such studies among Malaysian children are scarce. Thus, this study explores the associations between adiposity, dietary quality, and 25(OH)D, with cardiometabolic risk factors among Malaysian children aged 4-12 years. Data of 479 children (mean age: 8.2 ± 2.3 years old, 52% females) from the South East Asian Nutrition Surveys (SEANUTS II) Malaysia, were included in this analysis. Adiposity (percentage of body fat) was assessed with bioelectrical impedance technique. Dietary quality was assessed using 24 h dietary recall and calculated as mean adequacy ratio. Vitamin D was assessed based on serum 25-hydroxyvitamin D (25(OH)D). Measurements of cardiometabolic risk factors included waist circumference (WC), mean arterial pressure (MAP), fasting blood glucose (FBG), high-density lipoprotein (HDL), triglyceride, and high-sensitivity C-reactive protein, and cardiometabolic risk cluster score (siMS) was calculated. Overall, higher adiposity was positively associated with all cardiometabolic risk factors (WC, ß = 0.907; 95% CI = 0.865, 0.948; MAP, ß = 0.225; 95% CI = 0.158, 0.292; HDL, ß = -0.011; 95% CI = -0.014, -0.009; Triglyceride, ß = 0.012; 95% CI = 0.009, 0.016; FBG, ß = 0.006; 95% CI = 0.002, 0.011) and siMS score (ß = 0.033; 95% CI = 0.029, 0.037). Serum 25(OH)D was inversely associated with siMS score (ß = -0.002; 95% CI = -0.004, -0.000008) and positively associated with HDL (ß = 0.002; 95% CI = 0.0001, 0.003). Our findings suggest that adiposity is a key determinant of adverse cardiometabolic risk factors in children, while serum 25(OH)D may be associated with overall cardiometabolic health. Interventions to reduce obesity are needed to mitigate the deleterious consequences of cardiometabolic dysregulation in children.

Abdominal obesity is associated with increased worsening renal function risk in patients with heart failure with preserved ejection fraction.

BACKGROUND: Worsening renal function (WRF) is a frequent comorbidity of heart failure with preserved ejection fraction (HFpEF). However, its relationship with abdominal obesity in terms of HFpEF remains unclear. This study aimed to evaluate the value of waist circumference (WC) and body mass index (BMI) in predicting WRF and examine the correlation between abdominal obesity and the risk of WRF in the HFpEF population. METHODS: Data were obtained from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial. Abdominal obesity was defined as WC ≥ 102 cm for men and ≥ 88 cm for women. WRF was defined as doubling of serum creatinine concentration from baseline. Restricted cubic splines and receiver operating characteristic curves were used to evaluate the value of WC and BMI in predicting WRF. Cumulative incidence curves and cox proportional-hazards models were used to compare patients with and without abdominal obesity. RESULTS: We included 2,806 patients with HFpEF in our study (abdominal obesity, n: 2,065). Although baseline creatinine concentrations did not differ, patients with abdominal obesity had higher concentrations during a median follow-up time of 40.9 months. Unlike BMI, WC exhibited a steady linear association with WRF and was a superior WRF predictor. Patients with abdominal obesity exhibited a higher risk of WRF after multivariable adjustment (hazard ratio: 1.632; 95% confidence interval: 1.015-2.621; P: 0.043). CONCLUSIONS: Abdominal obesity is associated with an increased risk of WRF in the HFpEF population. TRIAL REGISTRATION: URL: https://beta. CLINICALTRIALS: gov . Unique identifier: NCT00094302.

Overview of BMI and Other Ways of Measuring and Screening for Obesity in Pediatric Patients.

Despite a long history of advances in measuring body size and composition, body mass index (BMI) has remained the most commonly used clinical measure. We explore the advantages and disadvantages of using BMI and other measures to estimate adipose tissue, recognizing that no measure of body size or adiposity has fulfilled the goal of differentiating health from disease. BMI and waist circumference remain widely-used clinical screening measures for appropriate risk stratification as it relates to obesity.