Obesity Indices Research Articles

Sex-specific associations between body composition and depression among U.S. adults: a cross-sectional study

BackgroundDepression presents sexual dimorphism, and one important factor that increases the frequency of depression and contributes to sex-specific variations in its presentation is obesity. The conventional use of Body Mass Index (BMI) as an indicator of obesity is inherently limited due to its inability to distinguish between fat and lean mass, which limits its predictive utility for depression risk. Implementation of dual-energy X-ray absorptiometry (DXA) investigated sex-specific associations between body composition (fat mass, appendicular lean mass) and depression.MethodsData from the NHANES cycles between 2011 and 2018 were analyzed, including 3,637 participants (1,788 males and 1,849 females). Four body composition profiles were identified in the subjects: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM) and high adiposity-high muscle (HA-HM). After accounting for confounding variables, the associations between fat mass index (FMI), appendicular skeletal muscle mass index (ASMI), body fat percentage (BFP), body composition phenotypes, and depression risk were assessed using restricted cubic spline (RCS) curves and multivariable logistic regression models. We further conducted interaction analyses for ASMI and FMI in females.ResultsRCS curves indicated a U-shaped relationship between ASMI and the risk of depression in males. Logistic regression analysis revealed that in males, the second (OR = 0.43, 95%CI:0.22–0.85) and third (OR = 0.35, 95%CI:0.14–0.86) quartile levels of ASMI were significantly negatively associated with depression risk. In females, increases in BFP (OR = 1.06, 95%CI:1.03–1.09) and FMI (OR = 1.08, 95% CI:1.04–1.12) were significantly associated with an increased risk of depression. Additionally, compared to females with a low-fat high-muscle phenotype, those with LA-LM (OR = 3.97, 95%CI:2.16–7.30), HA-LM (OR = 5.40, 95%CI:2.34–12.46), and HA-HM (OR = 6.36, 95%CI:3.26–12.37) phenotypes were more likely to develop depression. Interestingly, further interaction analysis of ASMI and FMI in females revealed an interplay between height-adjusted fat mass and muscle mass (OR = 4.67, 95%CI: 2.04–10.71).ConclusionThe findings demonstrate how important it is to consider body composition when estimating the risk of depression, particularly in females. There is a substantial correlation between the LA-LM, HA-LM, and HA-HM phenotypes in females with a higher prevalence of depression. It is advised to use a preventative approach that involves gaining muscle mass and losing fat.

Correlation of Salivary lipase with Diet and Obesity Indices in Apparently Healthy Young Adults

Correlation of Salivary lipase with Diet and Obesity Indices in Apparently Healthy Young Adults

Colorectal Cancer and Central Obesity

The proportion of colorectal cancer (CRC) cases attributable to excess weight, known as population attributable fraction (PAF), has been commonly based on measures of body mass index (BMI). Central obesity metrics, such as waist circumference (WC) and waist to hip ratio (WHR), are potentially better indicators of adiposity and have demonstrated stronger associations with CRC incidence. To examine PAFs of CRC cases that are attributable to high WC and WHR and compare them to those attributable to high BMI. This population-based UK Biobank cohort study included 458 543 individuals aged 40 to 69 years at recruitment (March 2006 to July 2010) living within a reasonable distance of the 22 assessment centers across the UK. The analyses were conducted between May and July 2024. Exposures were BMI, as a measure of general obesity, and WC and WHR, as indicators of central obesity. Hazard ratios (HRs) and corresponding 95% CIs were calculated for the associations of BMI, WC, and WHR with CRC incidence. The PAFs and 95% CIs of CRC cases attributable to high BMI, WC, and WHR were also calculated. A total of 458 543 participants (median [IQR] age, 57 [50-63] years; 244 351 [53.3%] female) were included in the study. During a median follow-up of 11.8 (IQR, 10.9-12.5) years, 5944 participants were diagnosed with CRC. The HRs for the association with CRC incidence were notably smaller for BMI (HR for the highest vs lowest BMI quartile, 1.23; 95% CI, 1.14-1.33) than for WC (HR for the highest vs lowest WC quartile, 1.37; 95% CI, 1.27-1.49) and WHR (HR for the highest vs lowest WHR quartile, 1.40; 95% CI, 1.29-1.51); these associations became comparable only after accounting for possible reverse causality by excluding the initial years of follow-up. Similarly, the PAF of CRC for high BMI was 9.9% (95% CI, 5.5%-14.4%), substantially lower than the PAFs for high WC and WHR, which were 17.3% (95% CI, 12.3%-22.1%) and 17.6% (95% CI, 12.9%-22.2%), respectively. After excluding the initial 7 years of follow-up, PAF estimates became analogous across all measures of obesity and were 15.7% (95% CI, 8.9%-22.4%) for BMI, 16.9% (95% CI, 9.8%-23.8%) for WC, and 18.0% (95% CI, 11.5%-24.6%) for WHR. In this cohort study of approximately half a million participants, the PAF of CRC attributable to excess weight, defined as high BMI, was considerably underestimated. The PAFs attributable to WC and WHR were consistent and much higher, underlining the importance of efforts to limit and overcome the obesity epidemic in CRC prevention.

Sonographic and Anthropometric Measurements for Body Composition and Their Relationship with Functioning in Adolescent Obesity.

Obesity is one of the most common chronic diseases seen in children and adolescents. This study aims to examine the impact of obesity on body composition, assessed by sonographic and anthropometric measurements, and health-related quality of life (HRQoL) in adolescents.Anthropometric measurements, sonographic measurements of subcutaneous fat, quadriceps muscle, Achilles tendon thickness, and HRQoL were performed in children between 12-18 years of age. Comparisons between adolescents with obesity and normal body mass index (BMI) were examined.A total of 300 adolescents with similar physical activity levels, 28.7% with obesity, were enrolled. The thickness of mid-forearm/mid-thigh subcutaneous fat tissue and quadriceps muscle was significantly higher in participants with obesity (p≤0.001). Moderate-to-strong correlation with BMI and waist circumference was observed (r>0.40, p<0.01). Participants with longer duration of obesity had thicker quadriceps muscle irrespective of the severity of obesity or presence of metabolic syndrome. Achilles tendon thickness did not differ between the groups. HRQoL was significantly lower in adolescents with obesity and indicated a negative moderate correlation between physical functioning and subcutaneous fat thickness (r<- 0.50, p<0.01).An important relationship between sonographic and anthropometric measurements, and physical functioning was demonstrated in adolescents. Ultrasound seems to have a role in the evaluation of body composition in obesity beyond what is captured by overall BMI. Significantly increased quadriceps muscle thickness in adolescents with obesity, coupled with its relation to the duration of obesity, implies potential temporal association between excess body weight and adaptation of quadriceps muscle.

The Relationship Between Body Mass Index, Waist Circumference, Neck Circumference and Cardiovascular Risk Factors

Background: This study aimed to estimate the correlation between body mass index, waist circumference and neck circumference and cardiovascular risk factors in healthy adult men and women with no history of any disease or chronic drug intake from Diyarbakır and Dicle University medical faculties. Materials and methods: The study included 199 subjects, 113 males (mean age 36.5 ± 11.3 years) and 86 females (mean age 33.8 ± 11.7 years) aged between 20 and 73 years. Age, height, weight, blood pressure, pulse rate, anthropometric methods; waist circumference (WC), body mass index (BMI), neck circumference (NC), blood glucose and insulin levels were determined. Insulin resistance was evaluated with the Homeostasis model assessment (HOMA-IR) formula. Total-cholesterol, triglyceride, LDL-cholesterol, HDL-cholesterol levels were measured. Pearson correlation and independent t-test were applied to the obtained study parameters. Results: 47.7% of women were obese, 1.2% were morbidly obese and 59.3% of men were obese. Waist circumference correlated with systolic blood pressure (r=0.426, p&lt;0.001), diastolic blood pressure (r=0.414, p&lt;0.001), total cholesterol (r=0.450, p&lt;0.001), triglycerides (r=0.556, p&lt;0.001) and LDL-cholesterol (i=0.486, p&lt;0.001), and a negative correlation was found between waist circumference and HDL-cholesterol (r=0.261, p&lt;0.001). In women, the relationship between BMI and HOMA-IR (r-0.415, p&lt;0.001) was stronger than the relationship between waist circumference and HOMA-IR (r=0.333, p=0.02). In men, we found a positive correlation between waist circumference and HOMA-IR (r=0.271, p=0.04). In men, we found no correlation between BMI and HOMA-IR. Neck circumference was correlated with waist circumference (i=0.732), total cholesterol (r=0.534), triglycerides (r=0.365), LDL cholesterol (i=0.406), BMI (r=0.568), systolic blood pressure (r=0.200), diastolic blood pressure (r=0. 290), and glucose (r=0.280) (p &lt; 0.001). Conclusions: Waist circumference was more tightly correlated with metabolic parameters. Waist circumference may better reflect the risk of cardiovascular disease than BMI. Neck circumference measurement, a new obesity indicator, can also be used as an obesity assessment method. Keywords: Cardiovascular risk factors, body mass index, waist circumference, neck circumference

Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model.

Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. In total, 1,070 participants with preserved left ventricular ejection fractions who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. SVR was calculated as an index of sarcopenic obesity by dividing the appendicular skeletal muscle mass by the visceral fat area. In the random forest model, age and SVR were the most powerful predictors of LVDD. Multivariate logistic regression analysis demonstrated that older age (adjusted odds ratio [OR], 1.11; 95% confidence interval [CI], 1.07 to 1.15) and lower SVR (adjusted OR, 0.08; 95% CI, 0.01 to 0.57) were independent risk factors for LVDD. SVR showed a significant improvement in predictive performance and fair predictability for LVDD, with the highest area under the curve noted in both men and women, with statistical significance. In non-obese and metabolically healthy individuals, the lowest SVR tertile was associated with a greater risk of LVDD compared to the highest SVR tertile. Decreased muscle mass and increased visceral fat were significantly associated with LVDD compared to obesity, body fat composition, and body muscle composition indices.

Isotemporal substitution of physical activity patterns and sitting time with obesity indicators among workers in São Paulo

This study aimed to evaluate the association between substituting 10, 30, and 60 min/day of physical activity and sitting time with obesity indicators among workers. It is a cross-sectional study involving 394 adults (76.6% women) from São Paulo, Brazil. Physical activity and sitting time (min/day) were measured using the short version of the International Physical Activity Questionnaire (IPAQ) to determine physical activity levels. Obesity indicators included body mass index (BMI; kg/m²), waist circumference (cm), and body fat (kg). Isotemporal substitution models were analyzed using multivariate linear regression, adjusted for sociodemographic variables. Participants reported median values of 150.0 min/day (IQR: 60.0–360.0) for walking and 445.7 min/day (IQR: 317.1–565.7) for sitting time. The median values for BMI, waist circumference, and body fat were 27.1 kg/m², 91.0 cm, and 23.5 kg, respectively. Substituting 10 min/day of sitting time for 10 min/day of walking was associated with waist circumference (β: -0.216: 95% CI: -0.041; -0.007). In addition, substituting 60 min/day of sitting time for moderate physical activity (β -0.206; 95% CI: -0.123; -0.008) was negatively associated with body fat. The equivalent substitution of different periods of sitting time for more active behaviors was favorably associated with obesity indicators. These findings suggest that lifestyle interventions based on replacing sitting time with physical activity can reduce the obesity epidemic in adults.

The association between lipid-related obesity indicators and severe headache or migraine: a nationwide cross sectional study from NHANES 1999 to 2004

BackgroundThe connection between lipid-related obesity indices and severe headache or migraine in young and middle-aged people aged 20–60 remains ambiguous, and there are gaps in the discriminative ability of different indicators for severe headaches or migraines. Consequently, we set out to look into this association utilizing National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2004.MethodsAfter the values of waist-to-height ratio (WHtR), body-mass index (BMI), body roundness index (BRI), visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose index (TyG), cardiac metabolism index (CMI), waist triglyceride Index (WTI), conicity index (CI) and weight-adjusted waist index (WWI) were estimated, with minimal sufficient adjustment for confounders determined by directed acyclic graph (DAG), weighted univariable and multivariable logistic regression analyses were carried out to ascertain the relationship between them and migraine. Stratified analysis and cross-effect analysis were implemented to examine the variability of intergroup correlations. Restricted cubic splines (RCS) and receiver operating characteristic (ROC) were then employed to examine nonliner relationships and its discriminatory ability for severe headache or migraine, respectively.Results3354 United States adults were involved in our study, of whom 839 (25.01%) had severe headache or migraine. After adjusting for relevant covariables, WHtR, BRI, BMI, LAP, WTI and VAI were all associated with migraine and WHtR (OR = 6.38, 95% CI: 2.25,18.09, P < 0.01) showed the best predictive ability. Additionally, WHtR, BMI, and BRI demonstrated linear dose-response relationships with the prevalence of migraine (all Poverall < 0.05, Pnon−linearity > 0.05).ConclusionsAmong those ten lipid-related obesity indicators evaluated in the study, WHtR, BMI and BRI demonstrated linear positive dose-response relationships with the prevalence of migraine in young and middle-aged individuals within the United States and WHtR showed the best predictive ability. Our study can provide important insight into epidemiological research and comprehensive management of obese patients with migraine.

Associations between surrogate insulin resistance indexes and osteoarthritis: NHANES 2003–2016

Insulin resistance (IR) and abdominal obesity are key in osteoarthritis (OA) development. The triglyceride glucose (TyG) index, along with indicators such as the visceral adiposity index (VAI), and lipid accumulation product (LAP), are increasingly used to measure IR. This study aims to explore the associations between surrogate IR indexes and OA, assessing their diagnostic efficacy within American populations. This study included 14,715 adults from the National Health and Nutrition Examination Survey 2003–2016. Logistic regression models and restricted cubic spline were used to explore the relationship between surrogate IR indexes and OA. Receiver operating characteristic curves were constructed to assess the diagnostic efficacy of these indices, with the area under the curve (AUC) as the metric. TyG, glucose triglyceride-waist circumference (TyG-WC), glucose triglyceride-body mass index (TyG-BMI), glucose triglyceride-waist height ratio (TyG-WHtR), VAI and LAP were significantly and positively associated with the prevalence of OA (all p < 0.01). After adjusting for various potential confounders, TyG-WC, TyG-BMI, TyG-WHtR and LAP remained significantly correlated with the prevalence of OA. Furthermore, restricted cubic spline revealed a nonlinear association between TyG-BMI, TyG-WHtR and LAP (all P-non-linear < 0.05). Receiver operating characteristic curves indicated that TyG-WHtR (AUC 0.633) demonstrated more robust diagnostic efficacy. Additionally, the sensitivity analysis produced results consistent with the primary findings. TyG and its combination with obesity indicators and LAP, are positively associated with the prevalence of OA, with TyG-WHtR showing the highest diagnostic efficacy.

Exposure to Volatile Organic Compounds in Relation to Visceral Adiposity Index and Lipid Accumulation Product Among U.S. Adults: NHANES 2011–2018

Volatile organic compounds (VOCs) are associated with obesity health risks, while the association of mixed VOCs with visceral adiposity indicators remains unclear. In this study, a total of 2015 adults from the National Health and Nutrition Examination Survey (NHANES) were included. Weighted generalized linear models, restricted cubic spline (RCS), weighted quantile sum (WQS), and Bayesian kernel machine regression (BKMR) were adopted to assess the association of VOC metabolites (mVOCs) with the visceral adiposity index (VAI) and lipid accumulation product (LAP). Multiple mVOCs were positively associated with the VAI and LAP in the single-exposure model, especially N-acetyl-S-(2-carboxyethyl)-L-cysteine (CEMA) and N-acetyl-S-(N-methylcarbamoyl)-L-cysteine (AMCC). The associations of mVOCs with VAI and LAP were more significant in &lt;60-year-old and non-obese individuals, with interactions of CEMA with age and AMCC with obesity status. Nonlinear relationships between certain mVOCs and the VAI or the LAP were also observed. In the WQS model, co-exposure to mVOCs was positively correlated with the VAI [β (95%CI): 0.084 (0.022, 0.147)]; CEMA (25.24%) was the major contributor. The result of the BKMR revealed a positive trend of the association between mixed mVOCs and the VAI. Our findings suggest that VOC exposure is strongly associated with visceral obesity indicators. Further large prospective investigations are necessary to support our findings.

Inflammatory markers link triglyceride-glucose index and obesity indicators with adverse cardiovascular events in patients with hypertension: insights from three cohorts

BackgroundAmong hypertensive cohorts across different nations, the relationship between the triglyceride-glucose index (TyG) and its conjunction with obesity metrics in relation to cardiovascular disease (CVD) incidence and mortality remains to be elucidated.MethodsThis study enrolled 9,283, 164,357, and 5,334 hypertensives from the National Health and Nutrition Examination Survey (NHANES), UK Biobank (UKBB), and Shanghai Pudong cohort. The related outcomes for CVD were defined by multivariate Cox proportional hazards models, Generalized Additive Models and Mendelian randomization analysis. Mediation analysis explored the mediating role of inflammatory markers in the above relationships.ResultsFive measures of insulin resistance were linked to CVD and related death in a U-shaped pattern, with the highest group having different risk increases. Higher glucose triglyceride-waist height ratio (TyG-WHTR) was linked to higher all-cause mortality (UKBB: HR 1.21, 95%CI 1.16–1.26, NHANES: HR 1.17, 95%CI 1.00–1.36), CVD mortality (UKBB: HR 1.36, 95%CI 1.23–1.49, NHANES: HR 1.32, 95%CI 1.00–1.72) risks. In the China Pudong cohort, higher triglyceride/high-density lipoprotein-cholesterol (TG/HDL_C) ratio was associated with higher risks of CVD and stroke (HR 1.31, 95%CI 1.00–1.73 and 1.67, 1.06–2.63). Inflammation markers like systemic inflammatory response index (SIRI) and C-reactive protein (CRP) partially explained these links, with CRP having a stronger effect. Genetically predicted TyG was also linked to stroke (OR 1.26, 95%CI 1.10–1.45) risk.ConclusionsAn elevated TyG index and its related indices are significantly correlated with an increased risk of CVD and related mortality across three national cohorts. These indices are anticipated to serve as valid predictors of incident CVD and mortality in individuals with hypertension.Graphical abstract

Lipid Accumulation Product Outperforms BMI and Waist Circumference in Metabolic Disorders.

Background and Objective: Obesity is a global health issue intricately linked to metabolic syndrome (MetS), insulin resistance, and dyslipidemia. Anthropometric indices, particularly those measuring central obesity, have emerged as more reliable predictors of these metabolic disorders than general obesity indices such as body mass index (BMI). However, the relative predictive power of these indices remains debated, particularly across sexes. This study aimed to evaluate the discriminative performance of various anthropometric measures, including lipid accumulation product (LAP), BMI, waist circumference (WC), and visceral adiposity index (VAI), in predicting insulin sensitivity, β-cell function, MetS, and dyslipidemia using National Health and Nutritional Evaluation Survey III (NHANES III) data. Methods: A cross-sectional analysis of 3,706 adults from the NHANES III database was conducted. Anthropometric indices were compared against insulin sensitivity Homeostasis Model Assessment (HOMA)-S, β-cell function (HOMA-B), metabolic syndrome (MetS) status, and dyslipidemia. Receiver-operating characteristic (ROC) curves and linear regression models were used to identify thresholds for predicting metabolic abnormalities. Results: LAP emerged as the most discriminative index across all outcomes, outperforming BMI and WC, particularly in predicting insulin sensitivity and β-cell function in males. In females, BMI was superior in predicting β-cell function. VAI demonstrated the strongest association with dyslipidemia but was less effective in predicting insulin resistance. Conclusion: LAP significantly outperforms conventional anthropometric indices in identifying insulin resistance and MetS, highlighting its potential as a screening tool for cardiometabolic risk. Gender differences in the predictive abilities of these measures suggest that BMI may retain value in assessing β-cell function in females. VAI should be considered when screening for dyslipidemia but is less effective for insulin resistance.

Association between weight-adjusted-waist index and the prevalence of low back pain: A cross-sectional observational study from NHANES.

The weight-adjusted-waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP. Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey (NHANES). Three logistic regression models were used to evaluate the association between WWI and LBP, stratified analysis was applied to assess the stability of the results. Receiver operating characteristic (ROC) curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC and weight on LBP. A significant positive correlation was observed between WWI and LBP, model 1 (OR = 1.222, 95%CI [1.164,1.283], P < 0.0001), model 2 (OR = 1.187, 95%CI [1.118,1.261], P < 0.0001), and model 3 (OR = 1.129, 95%CI [1.056,1.207], P < 0.001). Relative to the Q1, Q3(model 1 (OR = 1.241, 95%CI [1.114, 1.382], P < 0.001), model 2(OR = 1.192, 95%CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95%CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95%CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95%[1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95%CI[1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The AUC for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively. This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.

Association between the triglyceride-glucose index and its combined obesity indicators and the risk of hypertension in middle-aged and older Chinese adults: A nationwide cross-sectional study

Association between the triglyceride-glucose index and its combined obesity indicators and the risk of hypertension in middle-aged and older Chinese adults: A nationwide cross-sectional study

Different Patterns of the Relationship Between Gynecological Malignancy and Obesity Index: A Nationwide Retrospective Cohort Study in Korea

Different Patterns of the Relationship Between Gynecological Malignancy and Obesity Index: A Nationwide Retrospective Cohort Study in Korea

Obesity Indices, Cardiorespiratory Fitness and Mental Health in Obese and Non-Obese Women: A Cross-Sectional Study

Obesity Indices, Cardiorespiratory Fitness and Mental Health in Obese and Non-Obese Women: A Cross-Sectional Study

Gut mycobiome alterations in obesity in geographically different regions

ABSTRACT The gut fungi play important roles in human health and are involved in energy metabolism. This study aimed to examine gut mycobiome composition in obese subjects in two geographically different regions in China and to identify specific gut fungi associated with obesity. A total of 217 subjects from two regions with different urbanization levels [Hong Kong (HK): obese, n = 59; lean, n = 59; Kunming (KM): obese, n = 50; lean, n = 49. Mean body mass index (BMI) for obesity = 33.7] were recruited. We performed deep shotgun metagenomic sequencing on fecal samples to compare gut mycobiome composition and trophic functions in lean and obese subjects across these two regions. The gut mycobiome of obese subjects in both HK and KM were altered compared to those of lean subjects, characterized by a decrease in the relative abundance of Nakaseomyces, Schizosaccharomyces pombe, Candida dubliniensis and an increase in the abundance of Lanchanceathermotolerans, Saccharomyces paradox, Parastagonospora nodorum and Myceliophthorathermophila. Reduced fungal – bacterial and fungal – fungal correlations as well as increased negative fungal-bacterial correlations were observed in the gut of obese subjects. Furthermore, the anti-obesity effect of fungus S. pombe was further validated using a mouse model. Supplementing high-fat diet-induced obese mice with the fungus for 12 weeks led to a significant reduction in body weight gain (p < 0.001), and an improvement in lipid and glucose metabolism compared to mice without intervention. In conclusion, the gut mycobiome composition and functionalities of obese subjects were altered. These data shed light on the potential of utilizing fungus-based therapeutics for the treatment of obesity. S. pombe may serve as a potential fungal probiotic in the prevention of diet-induced obesity and future human trials are needed.

Relation of serum irisin levels with adiposity, components of metabolic syndrome and carotid intima media thickness in prepubertal children with obesity: a cross-sectional study.

Irisin, a newly discovered adipomyokine, has pleiotropic effects in metabolic and energy homeostasis, insulin resistance (IR), and browning of white adipose tissue. The aim of this study was to evaluate irisin levels in children with obesity and also to elucidate possible relationships between irisin with anthropometric obesity indices, parameters of metabolic syndrome (MetS), and intima media thickness (IMT). A total of 77 prepubertal children, 4-12 years old, were enrolled in this study, including 44 children with obesity (BMI ≥ 95th percentile) and 33 normal weight controls of matched age and gender. Detailed clinical examination, anthropometric parameters, laboratory data, including serum irisin levels, using ELISA technique and cIMT measurement were carried out in all subjects. Children with obesity had significantly higher values of irisin compared to controls (p = 0.003) independently of age, gender, or IR status. Irisin levels were positively correlated with weight z-score, Body Mass Index (BMI), BMI z-score, % Body Fat, waist circumference (WC), triglycerides (TG), and HOMA-IR (p = 0.016, p = 0.025, p = 0.028, p = 0.035, p = 0.019, p = 0.049, p = 0.007 respectively) and inversely correlated with HDL (p = 0.037). In multiple regression analysis irisin levels were strongly associated with excess adiposity (p < 0.001) and uric acid (p = 0.054). Children with obesity showed an unfavorable cardiometabolic profile and higher levels of IMT and irisin. Moreover, irisin was correlated with metabolic parameters, suggesting that irisin can serve as a prognostic index for future development of MetS in children with obesity.

Determinants of binge eating and its impact on indicators of obesity among Finnish adolescents - a cohort study

Abstract Background Binge eating, a type of disordered eating, is relatively common among youth and predisposes them to many adverse health outcomes. Diverse psychological and social factors may be associated with binge eating. The aim of this study was to examine child and parental psychosocial determinants of binge eating and its impact on indicators of obesity. Methods The sample consisted of 10 679 Finnish adolescents who participated in the Fin-HIT cohort study. The participants were 9–12 years at baseline, and they were followed-up for 2.6 years on average. At baseline, children’s anthropometry was measured, and they reported binge eating, disordered eating attitudes and behaviors, self-esteem, and body shape satisfaction with validated questionnaires. Parents reported their own weight satisfaction, dieting, and depressive symptoms at baseline. Adjusted logistic and linear regressions were used in the analyses. Results Self-esteem was associated with lower odds (OR 0.88, 95% CI 0.85–0.91), and overall disordered eating attitudes and behaviors were associated with higher odds (OR 1.08, 95% CI 1.06–1.10) of binge eating. Additionally, child and parent body dissatisfaction were associated with binge eating but not in the fully adjusted model where the child’s BMI was additionally considered. None of the parental factors were associated with binge eating in the fully adjusted model. Binge eating was associated with higher BMI z-scores and waist circumferences both cross-sectionally and longitudinally. Conclusions In support of previous findings, we found that low self-esteem, body dissatisfaction and other disordered eating attitudes and behaviors are associated with binge eating, but our results also highlight the impact of weight status as a potential moderator when the determinants of binge eating are examined. More studies on the role of parental factors in adolescent binge eating are needed.

Body Composition and Cardiorespiratory Fitness Characteristics Among Female University Students: A Cross-Sectional Study

Obesity and body composition are crucial indicators of health, especially among young adults whose lifestyle changes during university years can impact physical well-being. This study examines obesity levels and body composition parameters in female university students, hypothesizing that they exhibit elevated body fat percentages compared to health standards, likely due to a sedentary lifestyle. A secondary hypothesis posits a correlation between physical activity levels and body composition, anticipating higher fat mass in students with low physical activity levels. The study included 258 female students, aged 18-23, from seven faculties at the University "Dunărea de Jos" of Galați. Body composition metrics, such as total body water, protein, minerals, body fat mass, skeletal muscle mass, and BMI, were assessed using the InBody 720 (Biospace, Korea). Cardiovascular fitness was evaluated through the Ruffier Test, a widely accepted measure in Europe. SPSS 26 software was used for statistical analysis, applying Skewness and Kurtosis to assess data distribution, while Pearson correlation evaluated relationships between physical activity and body composition. The analysis revealed a significant trend toward elevated fat mass and obesity indicators. The average body fat mass was 32.3%, substantially above the healthy standard of 23%, and 52.3% of participants were classified as having excessive body fat. BMI showed 38% of students in the overweight or obese range. Waist-to-hip ratios highlighted prevalent central adiposity, with a mean of 0.918, exceeding recommended limits for women. A positive correlation was found between lower physical activity and increased fat mass, supporting Hypothesis 2. Findings indicate a high prevalence of obesity-related parameters among female university students, likely linked to lifestyle changes. These results emphasize the importance of health promotion efforts to encourage physical activity and healthy habits in this population, suggesting a role for bioelectrical impedance analysis as a valuable tool in university health assessmentsy.