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Background: The current definition of lean is based on body mass index (BMI). However, BMI is an imperfect surrogate for adiposity and provides no information on central obesity (CO). Hence, we explored the differences in clinical profile and liver disease severity in lean patients with nonalcoholic fatty liver disease (NAFLD) with and without CO. Methods: One hundred seventy lean patients with NAFLD (BMI <23 kg/m2) were divided into two groups depending upon the presence or absence of CO (waist circumference ≥80 cm in females and ≥90 cm in males). Noninvasive assessment of steatosis was done by ultrasound and controlled attenuation parameter (CAP), while fibrosis was assessed with FIB-4 and liver stiffness measurement (LSM). FibroScan-AST (FAST) score was used for non-invasive prediction of NASH with significant fibrosis. Results: Of 170 patients with lean NAFLD, 96 (56.5%) had CO. Female gender (40.6% vs. 17.6%, P = 0.001), hypertriglyceridemia (58.3% vs. 39.2%, P = 0.01) and metabolic syndrome (23.9% vs. 4.1%, P < 0.001) were more common in the CO group. There was a poor correlation between BMI and waist circumference (r = 0.24, 95% CI: 0.09-0.38). Grade 2-3 steatosis on ultrasound was significantly more common in CO patients (30% vs. 12.3%, P = 0.007). CAP [312.5 (289.8-341) dB/m vs. 275 (248-305.1) dB/m, P = 0.002], FAST score [0.42 (0.15-0.66) vs. 0.26 (0.11-0.39), P = 0.04], FIB-4 and LSM were higher in those with CO. Advanced fibrosis was more prevalent among CO patients using FIB-4 (19.8% vs 8.1%, P = 0.03) and LSM (9.5% vs. 0, P = 0.04). CO was independently associated with advanced fibrosis after adjusting for BMI and metabolic risk factors (aOR: 3.11 (1.10-8.96), P = 0.03). Among these 170 patients, 142 fulfilled metabolic dysfunction associated steatotic liver disease (MASLD) criteria. CO was also an independent risk factor for advanced fibrosis in MASLD (3.32 (1.23-8.5), P = 0.02). Conclusion: Lean patients with NAFLD or MASLD and CO have more severe liver disease compared to those without CO.

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OBJECTIVES: The present study aims to examine the hypothetical model of the relationship between food insecurity and Non-alcoholic fatty liver disease (NAFLD) in a sample of Iranian adults. METHODS: In this cross-sectional study, 275 subjects (18-70 years old) who met the inclusion criteria were recruited. Fatty liver was diagnosed by abdominal ultrasonography, and eligible patients underwent liver fibro scan assessment to determine fibrosis and steatosis. Food insecurity was assessed using the validated six-item Short Questionnaire of Household Food Security Scale (SQHFSS). Data were analyzed using SPSS 24.0 and IBM SPSS Amos 24.0. RESULTS: Among 275 subjects (44.37 ± 11.67 years old, 51.6% male) included in the analysis, 23.6% were food insecure. Food insecurity, general and abdominal obesity were associated with an increased risk of NAFLD, even after multiple adjustments (OR: 2.95, 95% CI: 1.02, 8.57; OR: 3.27, 95% CI: 1.50, 7.11; and OR: 3.81, 95% CI: 1.55, 9.32, respectively). According to the primary hypothesis, food insecurity and NAFLD were fitted into a model (χ2/df = 1.36, GFI = 0.982, AGFI = 0.952, CFI = 0.954, IFI = 0.959, SRMR = 0.040, RMSEA = 0.037); accordingly, food insecurity and obesity (general and abdominal) directly affected NAFLD (ß = 0.12, P = 0.03; ß = 0.13, P = 0.02; ß = 0.31, P < 0.001, respectively). CONCLUSION: Food insecurity was a predictor of, and directly associated with, NAFLD. Social determinants should be considered in the pathogenesis of NAFLD, although the possible underlying biological mechanisms in this association are yet to be determined.

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Inseguridad Alimentaria , Enfermedad del Hígado Graso no Alcohólico , Humanos , Enfermedad del Hígado Graso no Alcohólico/epidemiología , Irán/epidemiología , Masculino , Adulto , Estudios Transversales , Persona de Mediana Edad , Femenino , Adulto Joven , Adolescente , Anciano , Obesidad Abdominal/epidemiología , Obesidad Abdominal/complicaciones , Factores de Riesgo

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Background: The weight-adjusted waist index (WWI) is a novel obesity indicator that appears to outperform the body mass index (BMI) and waist circumference (WC) in assessing both overweight and obesity. Studies have demonstrated the relationship between obesity and overactive bladder (OAB). The purpose of this study is to examine the correlation between WWI and OAB. Methods: This research utilizes data from the National Health and Nutrition Examination Survey (NHANES) collected between 2009 and 2018. Each participant's WWI was calculated as their WC in centimeters by the square root of weight in kilograms. The Overactive Bladder Symptom Score (OABSS) questionnaire is used to determine whether a participant has OAB. Multivariate logistic regression and generalized additive model analysis were employed to investigate the relationship between WWI and OAB. We used smoothing curve fitting to explore non-linear relationships. Additionally, subgroup analysis and interaction tests are conducted. Results: In this cross-sectional study involving 35,950 subjects, we found that individuals with a higher WWI have a higher risk of OAB (OR = 1.41, 95% CI: 1.02-1.74). Subgroup analysis and interaction testing showed that the relationship between WWI and OAB is consistent across various population characteristics. Smoothing curve fitting reveals a positive non-linear relationship between WWI and OAB. Furthermore, the association between WWI and OAB is stronger than that of other obesity-related indicators. Conclusion: Weight-adjusted waist index may be able to predict the incidence of OAB and that WWI-based obesity management may help to reduce the risk of OAB.

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Background Metabolic syndrome (MetS) represents a critical public health challenge globally, characterized by a cluster of metabolic abnormalities that heighten the risk of cardiovascular diseases and type 2 diabetes. In India, the prevalence of MetS, particularly in urban areas, is rising rapidly. This study investigates the prevalence of MetS and its association with waist circumference in middle-aged individuals from urban Mumbai. Methods A cross-sectional study was conducted among 1,851 participants (814 men and 1,037 women, with a mean age of 56.8 years) in a public health camp in urban Mumbai. Data were collected on anthropometric measures, blood pressure, and blood markers, including fasting glucose and lipid profiles. MetS was diagnosed based on the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. This included the presence of three or more of the following five criteria: waist circumference of ≥102 cm for men and ≥88 cm for women, fasting triglycerides of ≥150 mg/dL, fasting high-density lipoprotein (HDL) cholesterol of <40 mg/dL for men and <50 mg/dL for women, blood pressure of ≥130/85 mm Hg, and fasting glucose of ≥100 mg/dL. Data were analyzed using SPSS Statistics version 23 (IBM SPSS Statistics, Armonk, NY). Statistical analyses were performed using the chi-square test, with statistical significance set at p<0.05. Results The overall prevalence of metabolic syndrome (MetS) in the cohort was 32.6% (605 out of 1,851 participants), with women exhibiting a significantly higher prevalence at 38% (394 out of 1,037 women) compared to men at 26% (211 out of 814 men) (p<0.001). High waist circumference (≥102 cm for men and ≥88 cm for women) was strongly correlated with MetS, as 73.8% of individuals (314 out of 425 participants) in the high waist circumference group met the criteria for MetS, compared to 20.4% of individuals (291 out of 1,426 participants) in the non-high waist circumference group (<102 cm for men and <88 cm for women) (p<0.001). Furthermore, elevated blood pressure, elevated fasting glucose, and elevated fasting triglycerides were significantly more common in the high waist circumference group, than in the non-high waist circumference group (p<0.001). Conclusion The study highlights the significant association between central obesity and MetS in an urban Indian population, with notably higher prevalence in women. Waist circumference is a critical determinant of MetS and should routinely be measured, with significant application especially in resource-limited settings for early detection and intervention.

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Metabolic syndrome (MetS) is a significant public health problem and presents an escalating clinical challenge globally. To combat this problem effectively, urgent measures including identify some modifiable environmental factors are necessary. Outdoor artificial light at night (LAN) exposure garnered much attention due to its impact on circadian rhythms and metabolic process. However, epidemiological evidence on the association between outdoor LAN exposure and MetS remains limited. To determine the relationship between outdoor LAN exposure and MetS, 15,477 adults participated the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. Annual levels of outdoor LAN exposure at participants' residential addresses were assessed using satellite data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). Generalized linear mixed effect models were utilized to assess the association of LAN exposure with MetS and its components, including elevated waist circumference (WC), triglycerides (TG), blood pressure (BP), fasting blood glucose (FBG), and reduced high-density lipoprotein cholesterol (HDL-C). Effect modification by various social demographic and behavior factors was also examined. Overall, 4701 (30.37 %) participants were defined as MetS. The LAN exposure ranged from 6.03 to 175.00 nW/cm2/sr. The adjusted odds ratio (OR) of MetS each quartile increment of LAN exposure were 1.43 (95 % CI: 1.21-1.69), 1.44 (95 % CI: 1.19-1.74) and 1.52 (95 % CI: 1.11-2.08), respectively from Q2-Q4. Similar adverse associations were also found for the components of MetS, especially for elevated BP, TG and FBG. Interaction analyses indicated that the above associations were stronger in participants without habitual exercise compared with those with habitual exercise (e.g. OR were 1.52 [95 % CI: 1.28-1.82] vs. 1.27 [95 % CI, 1.04-1.55], P-interaction = 0.042 for MetS). These findings suggest that long-term exposure to LAN can have a significant deleterious effect on MetS, potentially making LAN an important modifiable environmental factor to target in future preventive strategies.

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Anthropometric parameters are widely used in the clinical assessment of hypertension, type 2 diabetes, and cardiovascular disease. However, few studies have compared the association between different anthropometric parameters and insulin resistance (IR). This study was aimed at investigating the relationship between 6 indicators, including body mass index (BMI), calf circumference (CC), arm circumference (AC), thigh circumference (TC), waist circumference (WC), waist-height ratio (WHtR), and IR. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used to measure IR. Weighted linear regression was used to assess the relationship between different parameters and IR. The receiver operating characteristic curve (ROC) was employed to compare the strength of the relationship between different anthropometric parameters and IR. A total of 8069 participants were enrolled in our study, including 4873 without IR and 3196 with IR. The weighted linear regression results showed that BMI, CC, AC, TC and WC were significantly correlated with IR, except WHtR. After adjusting for multiple confounding factors, we found that BMI, AC and WC were significantly positively correlated with IR, while TC was significantly negatively correlated with IR. Logistic regression results showed that a larger TC was associated with a decreased risk of IR. In addition, BMI and WC had similar areas under the curve (AUC: 0.780, 95% CI 0.770-0.790; AUC: 0.774, 95% CI 0.763-0.784, respectively), which were higher than TC and AC (AUC: 0.698, 95% CI 0.687-0.710, AUC: 0.746, 95% CI 0.735-0.757, respectively). To our knowledge, this is the first study to report a negative correlation between TC and IR among patients without diabetes mellitus. Therefore, TC may be a new tool to guide public health and a clinical predictor of IR in non-diabetic patients.

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Antropometría , Índice de Masa Corporal , Resistencia a la Insulina , Circunferencia de la Cintura , Humanos , Masculino , Femenino , Persona de Mediana Edad , Adulto , Curva ROC , Relación Cintura-Estatura , Diabetes Mellitus Tipo 2

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BACKGROUND:  Waist-related measures are commonly used to classify central adiposity and related comorbidities. This classification may be essential among children, as it may identify the risk of future non-communicable diseases. METHODS:  A cross-sectional study was conducted in the Eastern Cape province, South Africa, among 459 primary school learners aged 9-14 years. Height, weight and waist circumference (WC) were measured using standardised techniques recommended by World Health Organization (WHO). The anthropometric measurements, including body mass index (BMI), WC, waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were computed and evaluated. RESULTS:  Most participants were girls (57.70%) with an average age of 11.20 ± 1.60 years. The average weight was 38.81 kg ± 10.49 kg with an average height of 144.16 (standard deviation [s.d.] = 10.37) cm. The sample had a BMI of 18.41 kg/m2 (s.d. = 3.19). The results showed, on average, WC of 62.10 cm ± 8.12 cm, WHR of 0.82 ± 0.15 and WHtR of 0.44 ± 0.05. Girls reported significantly higher BMI, WC and WHtR. Based on WHtR, the results showed the acceptable ability to classify children according to abdominal obesity, thus identifying their risk for comorbidities. CONCLUSION:  Overall body fat indicated by BMI and central obesity shown by waist-related anthropometric measures can play a significant role in classifying children in terms of their risk of comorbidities.Contribution: To prevent the risks of metabolic diseases in childhood, it is necessary to detect abdominal obesity early using WC-based anthropometric measurements, especially WHtR, to identify those at risk.

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Índice de Masa Corporal , Comorbilidad , Obesidad Abdominal , Circunferencia de la Cintura , Relación Cintura-Cadera , Humanos , Femenino , Niño , Masculino , Estudios Transversales , Sudáfrica/epidemiología , Adolescente , Obesidad Abdominal/epidemiología , Antropometría/métodos , Obesidad Infantil/epidemiología , Relación Cintura-Estatura , Adiposidad , Factores de Riesgo

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Observational studies have suggested an associations between hidradenitis suppurativa (HS) and metabolic syndrome (MetS) and its components. However, it remains unclear whether the relationship is causal or not. Our study aimed to investigate the causal association of HS with MetS and its components. We performed a bidirectional, two-sample Mendelian randomization study using summary-level data from the most comprehensive genome-wide association studies of HS (n = 362 071), MetS (n = 291 107), waist circumference (n = 462 166), hypertension (n = 463 010) fasting blood glucose (FBG, n = 200 622), triglycerides (n = 441 016), and high-density lipoprotein cholesterol (HDL-C, n = 403 943). Genetic instrumental variables were constructed by identifying single nucleotide polymorphisms associated with the corresponding factors. The random-effects inverse-variance weighted method was applied as the primary method. The results showed that genetically predicted HS was positively associated with waist circumference risk in both directions. High waist circumference increased the risk of HS (odds ratio [OR] 4.147; 95% confidence interval [CI] 2.610-6.590; p = 1.746 × 10-9). In addition, HS was also affected by waist circumference (OR 1.009; 95% CI 1.006-1.012; p = 3.08 × 10-7). No causal relationships were found between HS and MetS or its components other than waist circumference. The findings highlight the importance of early intervention for obesity in HS patients. Further studies are needed to determine the pathophysiology of HS associated with MetS and its components.

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BACKGROUND: There are limited studies investigating the association between type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD) in the region of Bihar, India. AIM: To estimate the prevalence of NAFLD in persons with newly diagnosed T2DM in the population of North Bihar, India. METHODS: This single centre cross-sectional study was undertaken in the Research Centre for Diabetes Hypertension and Obesity, Samastipur, Bihar, India. Data were collected from persons newly diagnosed with T2DM or those diagnosed within 6 months of when the study was conducted between December 2022 to May 2023. RESULTS: A total of 148 people with newly diagnosed T2DM were included (median age 47 years, 46.6% female) and 109 patients with liver disease on ultrasound evaluation. The persons with liver disease consumed more fats and oils (88.1% vs 74.4%, P = 0.042) and they had significantly greater body mass index (27.4 vs 23.0, P < 0.001), waist circumference (37 vs 33, P < 0.001), and waist-to-hip ratio (1.00 vs 0.70, P = 0.025). Females were associated with greater liver disease [odds ratio (OR): 3.09, 95% confidence interval (CI): 1.09-8.80, P = 0.32]. Waist circumference (OR: 1.42, 95%CI: 1.22-1.66, P < 0.001) and low-density lipoprotein cholesterol (OR: 1.01, 95%CI: 1.01-1.02, P = 0.048) were associated with any liver disease. The factors most associated with grade 2/3 liver disease was right upper quadrant pain or heaviness (OR: 5.22, 95%CI: 1.40-19.41, P = 0.14), greater income (OR: 3.58, 95%CI: 1.28-10.04, P = 0.015) and waist circumference (OR: 1.31, 95%CI: 1.02-1.69, P = 0.036). CONCLUSION: NAFLD is common in new/recently diagnosed T2DM and disease burden is high and common among patients who are either high consumers of fats and oils or have obesity-associated markers.

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Optimal non-invasive biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) remain elusive, especially in the detection of early stages. This study tested in an asymptomatic cohort of 171 men (49.2 ± 8.6 years) and 131 women (51.8 ± 8.5 years) whether waist circumference (WC) and circulating levels of insulin-like growth factor-binding protein 2 (IGFBP-2) could identify individuals with liver fat >5% as assessed by magnetic resonance spectroscopy. Participants with high WC (> 85 or 90 cm for women and men, respectively) and low IGFBP-2 (< 260 or 230 ng/mL for women and men, respectively) were characterized by a higher risk of having MASLD (46.3%, p < 0.0001). Among the 68 individuals with MASLD, 73.5% fell into the subgroup with high WC and low IGFBP-2 concentrations (p < 0.0001). When combined, these markers reached a sensitivity of 73.5% and specificity of 75.2% for MASLD. Thus, WC and plasma IGFBP-2 levels might be useful as a novel, simple, and non-invasive index to support existing tools in the identification of individuals at risk of early-stage MASLD.

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Background/Objectives: Obesity and overweight have become increasingly prevalent in different populations of people with type 1 diabetes (PwT1D). This study aimed to assess the effect of body weight on glycaemic indices in PwT1D. Methods: Adult PwT1D using continuous glucose monitoring (CGM) and followed up at a regional academic diabetes centre were included. Body weight, body mass index (BMI), waist circumference, glycated haemoglobin (HbA1c), and standard CGM glycaemic indices were recorded. Glycaemic indices were compared according to BMI, and correlation and linear regression analysis were performed to estimate the association between measures of adiposity and glycaemic indices. Results: A total of 73 PwT1D were included (48% normal weight, 33% overweight, and 19% obese). HbA1c was 7.2% (5.6-10), glucose management indicator (GMI) 6.9% (5.7-8.9), coefficient of variation (CV) for glucose 39.5% ± 6.4, mean glucose 148 (101-235) mg/dL, TIR (time in range, glucose 70-180 mg/dL) 66% (25-94), TBR70 (time below range, 54-69 mg/dL) 4% (0-16), TBR54 (<54 mg/dL) 1% (0-11), TAR180 (time above range, 181-250 mg/dL) 20% ± 7, and TAR250 (>250 mg/dL) 6% (0-40). Glycaemic indices and achievement (%) of optimal glycaemic targets were similar between normal weight, overweight, and obese patients. BMI was associated negatively with GMI, mean glucose, TAR180, and TAR250 and positively with TIR; waist circumference was negatively associated with TAR250. Conclusions: CGM-derived glycaemic indices were similar in overweight/obese and normal weight PwT1D. Body weight and BMI were positively associated with better glycaemic control. PwT1D should receive appropriate ongoing support to achieve optimal glycaemic targets whilst maintaining a healthy body weight.

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Objective: Hypertension (HTN) is a prevalent global health concern. From the standpoint of preventive and personalized medicine (PPPM/3PM), early detection of HTN offers a crucial opportunity for targeted prevention and personalized treatment. This study aimed to evaluate the association between the weight-adjusted waist index (WWI) and HTN risk. Methods: A case-control study using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 was conducted. Logistic regression models assessed the association between WWI and HTN. Subgroup analyses explored differences in age, sex, ethnicity, and diabetes status. Restricted cubic spline (RCS) analyses examined potential nonlinear relationships. Results: A total of 32,116 participants, with an average age of 49.28 ± 17.56 years, were included in the study. A significant positive association between WWI and the risk of HTN was identified (odds ratio [OR], 2.49; 95% CI, 2.39-2.59; P < 0.001). When WWI was categorized into quartiles (Q1-Q4), the highest quartile (Q4) exhibited a stronger association compared to Q1 (OR, 2.94; 95% CI, 2.65-3.27; P < 0.001). Subgroup analyses indicated that WWI was a risk factor for HTN across different populations, although variations in the magnitude of effect were observed. Furthermore, the findings from the RCS elucidated a nonlinear positive correlation between WWI and HTN. Conclusion: WWI is independently associated with HTN risk, highlighting its potential as a risk assessment tool in clinical practice. Incorporating WWI into early detection strategies enhances targeted prevention and personalized management of HTN. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00375-3.

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Significant evidence links obesity and schizophrenia (SZ), but the brain associations are still largely unclear. 48 people with SZ were divided into two subgroups: patients with lower waist circumference (SZ-LWC: n = 24) and patients with higher waist circumference (SZ-HWC: n = 24). Healthy controls (HC) were included for comparison (HC: n = 27). Using tract-based spatial statistics, we compared fractional anisotropy (FA) of the whole-brain white matter skeleton between these three groups (SZ-LWC, SZ-HWC, HC). Using Free Surfer, we compared whole-brain cortical thickness and the selected subcortical volumes between the three groups. FA of widespread white matter and the mean cortical thickness in the right temporal lobe and insular cortex were significantly lower in the SZ-HWC group than in the HC group. The FA of regional white matter was significantly lower in the SZ-LWC group than in the HC group. There were no significant differences in mean subcortical volumes between the groups. Additionally, the cognitive performances were worse in the SZ-HWC group, who had more severe triglycerides elevation. This study provides evidence for microstructural abnormalities of white matter, cortical thickness and neurocognitive deficits in SZ patients with excessive abdominal obesity.

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Obesidad Abdominal , Esquizofrenia , Sustancia Blanca , Humanos , Esquizofrenia/diagnóstico por imagen , Esquizofrenia/patología , Masculino , Adulto , Femenino , Obesidad Abdominal/diagnóstico por imagen , Obesidad Abdominal/patología , Obesidad Abdominal/complicaciones , Sustancia Blanca/diagnóstico por imagen , Sustancia Blanca/patología , Imagen de Difusión Tensora , Persona de Mediana Edad , Circunferencia de la Cintura , Encéfalo/patología , Encéfalo/diagnóstico por imagen

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Introduction: Waist-based indicators of obesity are being used to detect central obesity and are predictive for metabolic syndrome (MS). The aim of the study is to assess the basic anthropometric indices in children, to determine the prevalence of overweight and obesity, and to determine the association between various waist-based measurements and body mass index (BMI). Methodology: A cross-sectional study was conducted among children aged 10 to 15 years attending government corporation schools in Chennai. Basic anthropometric measurements were taken. BMI, waist circumference/height ratio (WHtR), and waist circumference/hip circumference ratio (WHR) were calculated. The percentiles (Indian reference cutoffs) were determined for waist circumference (WC) and BMI. The prevalence of overweight and obesity was determined and compared to waist-based parameters. Results: Of 820 children, males constituted 47.1%. Stunting was seen in 9.8% and 7.8% were underweight. 8.2% had BMI less than the 3rd percentile. The prevalence of overweight and obese children was 9% and 3.2%, respectively, with female predominance. The majority had WC less than the 5th percentile. The prevalence of children under risk for MS based on WC >70th percentile was 4.5% and based on WHtR >0.5 was 8.2%. A significant association was identified between all waist-based anthropometric measurements to detect children at risk for MS and overweight/obese children as per BMI category. WHtR >0.5 was an indicator of overweight/obese children in logistic regression analysis. Conclusion: Early identification of children at risk of MS would require a combination of BMI to detect general obesity and waist-based anthropometric measurements to identify central obesity.

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Context: Metabolic syndrome (MetS) raises the chance of cerebrovascular accidents and cardiovascular illness in type 2 diabetes mellitus (T2DM) individuals. Early identification of MetS allows for suitable prophylactic and treatment strategies to reduce the risks. Aim: To estimate the prevalence of MetS and its risk factors in T2DM individuals. Settings and Design: This cross-sectional study investigated MetS and its component's prevalence among newly diagnosed T2DM at the tertiary care hospital. Methods and Material: The study was conducted from January 2022 to December 2022 and included 300 participants above 18 years, with most being men (55%, 165), and using the World Health Organization (WHO) STEPS questionnaire for assessing selected risk factors. Along with blood glucose, different components of MetS were assessed, that is serum triglyceride (TG) level, serum high-density lipoprotein (HDL) level, blood pressure (BP) and waist circumference (WC), as per the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) criteria. Statistical Analysis Used: Data analysis includes mean and standard deviation (SD) for numerical variables with an unpaired t-test to compare means and percentage and proportions for categorical variables with the Chi-square test for the associations. Multivariate logistic regression was used for assessing the predictors of MetS. Results: The prevalence of components of MetS, that is obesity, hypertension (HTN), TG and HDL components, was 64.0% (192), 45.7% (137), 46.0% (138) and 30% (90), respectively. Overall, MetS was 57% (170). Moderate activity of 150 min/week, sitting/reclining, WC, diastolic BP, TG and HDL had a significant association with MetS. Conclusions: MetS was highly associated with newly diagnosed T2DM with obesity being the most common component.

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BACKGROUND: Individuals with Schizophrenia Spectrum Disorders (SSD) often suffer from obesity and do limited Physical Activity (PA). PA has many beneficial effects on a variety of somatic and mental variables and it should be strengthened among people with mental disorders. The relationship between Body Mass Index (BMI), Waist Circumference (WC), and PA in this population is poorly understood, with a lack of precise PA assessment. This study investigates the association between BMI, WC, weight, and PA in individuals with SSD and controls using accelerometers. METHODS: One hundred twenty-six patients with SSD (residents and outpatients) and 110 sex- and age-matched controls were enrolled. Clinical, sociodemographic, and quality-of-life data were collected. PA was measured with a tri-axial ActiGraph GT9X and quantified by Vector Magnitude (VM). Relationships between PA and BMI, WC, and weight changes were analysed using linear regression models. RESULTS: Patients were more likely to be unmarried, unemployed, and less educated compared to controls (p < 0.001). Residents had more medical comorbidities (p = 0.001), while outpatients had higher BMI, weight, and WC (p < 0.001). Residents reported more severe psychopathology, lower functioning, and greater use of psychopharmacological medications (p < 0.001). Higher PA levels were not significantly associated with lower BMI, WC, or weight. Although not statistically significant, increased PA showed a trend towards lower obesity risk. CONCLUSIONS: Sociodemographic, medical, and clinical characteristics of individuals with SSD define vulnerability factors that can inform tailored interventions to improve PA.

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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.

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Índice de Masa Corporal , Insuficiencia Cardíaca , Riñón , Antagonistas de Receptores de Mineralocorticoides , Obesidad Abdominal , Volumen Sistólico , Circunferencia de la Cintura , Humanos , Obesidad Abdominal/fisiopatología , Obesidad Abdominal/diagnóstico , Obesidad Abdominal/epidemiología , Femenino , Masculino , Insuficiencia Cardíaca/fisiopatología , Insuficiencia Cardíaca/diagnóstico , Insuficiencia Cardíaca/epidemiología , Anciano , Factores de Riesgo , Persona de Mediana Edad , Medición de Riesgo , Riñón/fisiopatología , Antagonistas de Receptores de Mineralocorticoides/uso terapéutico , Factores de Tiempo , Progresión de la Enfermedad , Creatinina/sangre , Función Ventricular Izquierda , Pronóstico , Biomarcadores/sangre , Anciano de 80 o más Años , Tasa de Filtración Glomerular

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AIMS: This study aims to enhance the precision of obesity risk assessments by improving the accuracy of waist circumference predictions using machine learning techniques. METHODS: We utilized data from the NHANES and Look AHEAD studies, applying machine learning algorithms augmented with uncertainty quantification. Our approach centered on conformal prediction techniques, which provide a methodological basis for generating prediction intervals that reflect uncertainty levels. This method allows for constructing intervals expected to contain the true waist circumference values with a high degree of probability. RESULTS: The application of conformal predictions yielded high coverage rates, achieving 0.955 for men and 0.954 for women in the NHANES dataset. These rates surpassed the expected performance benchmarks and demonstrated robustness when applied to the Look AHEAD dataset, maintaining coverage rates of 0.951 for men and 0.952 for women. Traditional point prediction models did not show such high consistency or reliability. CONCLUSIONS: The findings support the integration of waist circumference into standard clinical practice for obesity-related risk assessments using machine learning approaches.

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BACKGROUND: It has been reported in the literature that waist circumference (WC) was related to physical fitness in adolescents. However, the association between WC and PFI(physical fitness index), a comprehensive indicator of physical fitness, has been less studied. In addition, it is not clear whether the association between WC and PFI changes depending on altitude, ethnicity, and sex. This study further revealed the correlation between WC and PFI among adolescents in high-altitude areas and provided references for the physical and healthy development of adolescents in high-altitude areas. METHODS: In this study, a total of 1705 Tajik adolescents aged 13-15 years were selected using stratified whole-population sampling. WC and physical fitness items (grip strength, standing long jump, 50 m dash, and endurance run) were assessed and a standardized method was used to calculate PFI. The association between WC and PFI was analyzed by curvilinear regression analysis. RESULTS: The mean and standard deviation of WC and PFI for Tajik adolescents aged 13-15 years old on the Pamir Plateau in Xinjiang, China, were 68.26 ± 7.75 cm and - 2.00 ± 3.47 respectively. Comparison of PFI between groups of Tajik adolescents with different WC showed that inter-group comparisons had significant effects with effect size above 0.2. The Tajik adolescents' PFI reached its highest when WC was 61 cm for boys(-1.3207), and 60 cm for girls (-1.0556). CONCLUSIONS: The association between WC and PFI in Tajik adolescents showed an inverted "U" curve, with no sex difference. It is recommended that the WC of Tajik adolescents should be controlled between 60 and 61 cm to maintain better PFI levels. The study provides support and reference for educational policy-making and public health prevention in the Pamir Plateau in Xinjiang, China.

RESUMEN

BACKGROUND: Proponents argue that a high waist-to-calf ratio (WCR) may indicate an imbalance between muscle and fat in the body, making it a potential predictor for sarcopenic obesity (SO). The WCR is a new index incorporating both measurements, providing a reliable approach for assessing the imbalance between abdominal fat and leg muscle mass. The present study aimed to examine the association of WCR with SO and reveal the predictive effect of SO in community-dwelling older adults. METHODS: The study population was composed of 234 geriatric outpatients with obesity. WCR was calculated by dividing the waist circumference (in cm) by the calf circumference (in cm). SO was defined according to the ESPEN and EASO Consensus Statement. RESULTS: The mean age was 72.7 ± 5.8 years, and 78.7% (n = 175) were female. Eighty-one patients (34.6%) were considered as sarcopenic obese. The WCR was 3.04 [Interquartile range (IQR), 2.88-3.32] in the sarcopenic obese group, and in the nonsarcopenic obese group, it was 2.82 [IQR, 2.7-3.0] (p < 0.001). Independent of age, sex, nutritional and frailty status WCR was associated with SO (OR 12.7, 95% CI 4.0-40.1 and p < 0.001). The cut-off value of WCR for SO was calculated as 2.94 with 72.8% sensitivity and 67.3% specificity (Area Under Curve: 0.72 and Positive likelihood ratio: 2.23, p < 0.001). CONCLUSIONS: WCR, a simple and accessible method, indicates promise as a possible and potential diagnostic tool for SO in community-dwelling older adults.