Waist-to-hip Ratio Research Articles

Association of Abdominal Obesity and Diabetes among the Adult Tribal Population in Tamil Nadu

Background: Previously overweight and obesity are considered to be an issue of high-income countries but now increasingly becoming more prevalent in low-income and middle-income countries. Obesity and overweight are growing health issues in India. It is important to determine the quantum of the risk contribution by individual risk factor siuch as abdominal obesity. Aims: To find out the association of abdominal obesity and diabetes among the adult tribal population. Methods and Material: A cross-sectional study was conducted using multi-stage random sampling techniques. Using a pretested validated modified Stepwise questionnaire, a detailed interview with the participants aged above 30 years were performed. Random blood sugar and anthropometric parameters were estimated for all the participants. Chi-square test and multivariate regression analysis were used to study association. Results: Prevalence of abdominal obesity was 49.6% [211] among the study participants. Prevalence of diabetes was 7.8% [33] among the study population and 92.2% [392] of them were nondiabetic. Normal WHR was seen among 27.3% [9] of the diabetic individuals. High WHR was seen among 72.7% [24] of diabetic individuals. Gender, Illiterate, BMI, and waist-hip ratio shows significant association with diabetes. Conclusions: The prevalence of abdominal obesity was higher in the study population. As this burden among tribal people is on the increasing trend when compared with other general populations, effective strategies to prevent this have to be devised among the tribal population.

Proteo-genomic analyses in relatively lean Chinese adults identify proteins and pathways that affect general and central adiposity levels

Adiposity is an established risk factor for multiple diseases, but the causal relationships of different adiposity types with circulating protein biomarkers have not been systematically investigated. We examine the causal associations of general and central adiposity with 2923 plasma proteins among 3977 Chinese adults (mean BMI = 23.9 kg/m²). Genetically-predicted body mass index (BMI), body fat percentage (BF%), waist circumference (WC), and waist-to-hip ratio (WHR) are significantly (FDR < 0.05) associated with 399, 239, 436, and 283 proteins, respectively, with 80 proteins associated with all four and 275 with only one adiposity trait. WHR is associated with the most proteins (n = 90) after adjusting for other adiposity traits. These associations are largely replicated in Europeans (mean BMI = 27.4 kg/m²). Two-sample Mendelian randomisation (MR) analyses in East Asians using cis-protein quantitative trait locus (cis-pQTLs) identified in GWAS find 30/2 proteins significantly affect levels of BMI/WC, respectively, with 10 showing evidence of colocalisation, and seven (inter-alpha-trypsin inhibitor heavy chain H3, complement factor B, EGF-containing fibulin-like extracellular matrix protein 1, thioredoxin domain-containing protein 15, alpha-2-antiplasmin, fibronectin, mimecan) are replicated in separate MR using different cis-pQTLs identified in Europeans. These findings identified potential novel mechanisms and targets, to our knowledge, for improved treatment and prevention of obesity and associated diseases.

New Insights into Health Conditions Related to Malfunctions in Clock Genes

Chronotypes play a crucial role in regulating sleep–wake cycles and overall health. The aim of this study was to investigate chronotype, sleep quality, polymorphisms of clock genes and the level of leptin in serum. We used standardized questionnaires to assess chronotype and sleep quality. Genetic analysis was performed to determine the selected clock gene polymorphism. Serum leptin level was measured by the Elisa method. The results showed that serum leptin concentration was elevated in women, as well as in men who had a high waist-to-hip ratio (WHR) and body mass index (BMI). The evidence indicated that younger students (&lt;22 years old) were most likely to experience poor sleep quality. Nevertheless, our multivariate analysis revealed that young age and a morning-oriented chronotype were associated with better sleep quality. We noted that clock gene polymorphisms were present in 28.6% of the participants. Moreover, polymorphisms of PER1 c.2247C&gt;T (rs2735611) and PER2 c.-12C&gt;G (rs2304672) genes were associated with serum leptin level and chronotype, respectively. These findings provide insights into the relationships between chronotype, sleep quality, clock gene polymorphisms and obesity risk in biomedical students. Understanding these factors can contribute to better sleep management and potential interventions to improve health outcomes in humans.

Proteomic Signature of BMI and Risk of Cardiovascular Disease.

Obesity, defined by body mass index (BMI) alone, is a metabolically heterogeneous disorder with distinct cardiovascular manifestations across individuals. This study aimed to investigate the associations of a proteomic signature of BMI with risk of major subtypes of cardiovascular disease (CVD). A total of 40 089 participants from UK Biobank, free of CVD at baseline, had complete data on proteomic data measured by the Olink assay. A BMI-proteomic score (pro-BMI score) was calculated from 67 pre-identified plasma proteins associated with BMI. A higher pro-BMI score was significantly associated with higher risks of ischemic heart disease (IHD) and heart failure (HF), but not with risk of stroke. Comparing the highest with the lowest quartiles, the adjusted hazard ratio (HR) for IHD was 1.49 (95% CI, 1.32-1.67) (P-trend < 0.001), and the adjusted HR for HF was 1.52 (95% CI, 1.25-1.85) (P-trend < 0.001). Further analyses showed that the association of pro-BMI score with HF risk was largely driven by the actual BMI, whereas the association of the pro-BMI score with IHD risk was independent of actual BMI and waist-to-hip ratio (WHR). The association between pro-BMI score and IHD risk appeared to be stronger in the normal BMI group than other BMI groups (P-interaction = 0.004) and stronger in the normal WHR group than the high WHR group (P-interaction = 0.049). Higher pro-BMI score is significantly associated with higher IHD risk, independent of actual BMI levels. Our findings suggest that plasma proteins hold promise as complementary markers for diagnosing obesity and may facilitate personalized interventions.

Hubungan Waist Hip Ratio (WHR) dan A Body Shape Index (ABSI) dengan Tekanan Darah pada Mahasiswa Kedokteran

Prehypertension is a condition that can increase the risk of developing hypertension and lead to various diseases such as cerebrovascular disease, coronary artery disease, and chronic kidney disease. Lifestyle factors significantly influence blood pressure, with obesity being one of the key risk factors for prehypertension. Obesity can be assessed using anthropometric measurements such as Waist-Hip Ratio (WHR) and A Body Shape Index (ABSI). This study aimed to investigate the relationship between WHR and ABSI with prehypertension among male students at the School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia. The study employed an analytic observational design with a cross-sectional approach. The respondents consisted of active male medical students from the class of 2019–2021, with data collected using random proportional-to-size sampling. Among the 74 respondents, 28.4% had normotensive blood pressure, while 71.6% exhibited elevated blood pressure. Regarding WHR, 28.4% of respondents had values indicating a risk of hypertension, and for ABSI, 25.7% of respondents had values indicating similar risks. Bivariate analysis revealed a significant relationship between WHR and ABSI with prehypertension (p = 0.024, p = 0.045). In conclusion, this study found a significant association between WHR and ABSI with prehypertension among male medical students at the School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia.

Genetic and Anthropometric Interplay: How Waist-to-Hip Ratio Modulates LDL-c Levels in Mexican Population.

Genetic factors contribute to the physiopathology of obesity and its comorbidities. This study aimed to investigate the association of the SNPs ABCA1 (rs9282541), ADIPOQ (rs2241766), FTO (rs9939609), GRB14 (rs10195252), and LEPR (rs1805134) with various clinical, anthropometric, and biochemical variables. The study included 396 Mexican mestizo individuals with obesity and 142 individuals with normal weight. Biochemical markers were evaluated from peripheral blood samples, and SNP genotyping was performed using PCR with TaqMan probes. A genetic risk score (GRS) was computed using an additive model. No significant associations were found between the SNPs ABCA1, ADIPOQ, FTO, and LEPR with obesity. However, the T allele of the GRB14 SNP was significantly associated with obesity (χ2 = 5.93, p = 0.01; OR = 1.52; 95% CI: 1.08-2.12). A multivariate linear regression model (adjusted R-squared: 0.1253; p < 0.001) predicting LDL-c levels among all participants (n = 538) identified significant (p < 0.05) beta coefficients for several anthropometric and biochemical variables, as well as for the GRS. Additionally, the interaction between the GRS and the waist-to-hip ratio (WHR) showed a negative beta coefficient (BC = -26.5307; p = 0.014). Participants with a WHR < 0.839 showed no effect of GRS on LDL-c concentration, while those with a WHR > 0.839 exhibited a greater effect of GRS (~9) at lower LDL-c concentrations (~50 mg/dL) and a lesser effect of GRS (~7) at higher LDL-c concentrations (~250 mg/dL). A significant interaction between genetics and WHR influences LDL-c in Mexicans, which may contribute to the prevention and clinical management of dyslipidemia and cardiovascular disease.

Correlation between abdominal visceral fat and the risk of endometrial cancer in patients with polycystic ovary syndrome

Objective: To explore the correlation between abdominal fat and the occurrence risk of endometrial cancer (EC) in patients with polycystic ovary syndrome (PCOS). Methods: The clinical information of 120 PCOS patients receiving treatment in our hospital from March 2019 to April 2022 were included in this study. Patients were divided into two groups, endometrial cancer (EC, n=35) and normal group (NM, n=85). Statistical analysis included t-test, c2-test, and Pearson's correlation coefficient. We analysed the data using logistic regression. The predictive accuracy and discriminative ability of the prediction model were assessed by the area under the receiver operating characteristic (ROC) curve (AUC) and calibration curves. Results: The incidence rate of EC in women with PCOS is 10.91% (12/110). Significant differences were found in waist circumference, hypertension, diabetes, hyperlipidemia, body mass index (BMI), waist-hip ratio (WHR), insulin resistance index (HOMA-IR), visceral fat area (VFA) oestrogen receptor, progesterone receptor, human epidermal growth factor receptor-2 (HER2), estradiol (E2), and luteinizing hormone (LH) between the two groups (P&lt;0.05). No statistical difference was found in age, hip circumference, menopause, use of intrauterine device, progesterone (P) and follicle-stimulating hormone (FSH) between the groups (P&gt;0.05). Multivariate logistic regression analysis showed that BMI, HOMA-IR, VFA and HER2 were independent influencing factors of EC in PCOS patients (P&lt;0.05). The AUC of BMI, HOMA-IR, VFA, HER2 were 0.878 (95%CI: 0.810~0.946), 0.831 (95%CI: 0.751~0.911), 0.816 (95%CI: 0.704~0.929) and 0.737 (95%CI: 0.634,0.840), respectively. The model had more diagnostic effectiveness (AUC=0.973). Conclusions: In PCOS disease, high-level BMI, HOMA-IR, VFA, and positive HER2 show an increased risk in the incidence of EC. These findings suggest that BMI, HOMA-IR, VFA, and HER2 are potential markers for Risk assessment of EC. HER2: Human epidermal growth factor receptor-2, E2: estradiol, P: progesterone, LH: Luteinizing hormone, FSH: Follicle-stimulating hormone. Keywords: Polycystic ovary syndrome; Abdominal visceral fat; Endometrial cancer; Occurrence risk.

Dietary pattern and prevalence of malnutrition among lactating mothers and their under-five children attending primary health centres in Owo, Ondo State

Background: The lactation period is crucial in developing countries due to its positive impact on infant health and nutrition. Objective: This study assessed the dietary patterns and malnutrition among lactating mothers and their under-five children attending primary health centres in Owo, Ondo State. Method: A simple random sampling method was used to select 250 healthy lactating mothers with infants aged 0-59 months. Information on socio-demographic variables, health-seeking behaviours, food consumption patterns, and nutritional status was obtained using a well-structured questionnaire. Data were analyzed using SPSS, version 25. The chi-square test determined associations between variables, with significance considered at p&lt;0.05. Result: The study revealed that 68.4% of the mothers were aged 20-29, 94.4% were married, and 48.0% had household sizes of 1-3. About 97.6% of the mothers had babies of normal birth weight, while 54.0% received health services at the health centres. Approximately 89% of the mothers did not consume alcohol, and 55.2% ate cereal or cereal products daily. The Food Consumption Score (FCS) showed that 53.6% had an acceptable score, while 8.4% had a poor score. For the Dietary Diversity Score (DDS), 73.6% had a highly diverse diet, while 19.6% had low dietary diversity. The prevalence of obesity among the mothers was 31.2% based on BMI, 38.8% based on waist circumference, and 68.0% based on waist-hip ratio. Among the children, 17.4% of males and 11.1% of females were underweight, while 72.0% had a normal weight for their age. Only 14% were overweight, and stunting was observed in 16% of the children, more prevalent among males. Wasting was seen in 10.0% of the under-five children. Conclusion: There was a high prevalence of a double burden of malnutrition among the mothers and their children.

Higher Serum Dipeptidyl Peptidase-4 Activity in Newly Diagnosed Young-Onset Type 2 Diabetes Mellitus.

Background Dipeptidyl peptidase-4 (DPP4) enzyme inhibition is a therapeutic modality for type 2 diabetes mellitus (T2DM). However, its activity is insufficiently explored yet in youth-onset T2DM. Objective The objective of this study is to measure serum DPP4 enzyme activities in youth-onset T2DM and compare them with those in patients with normal glucose tolerance (NGT). Methods This cross-sectional study comprised 29 young participants with newly diagnosed untreated T2DM (age 24.5±4.5 years, range 13-30 years, 51.7% female) and an equal number of young participants with NGT (age 26.5±2.9 years,48.3% female) screened by a two-sample 75gm oral glucose tolerance test. The relevant history of each participant was obtained, and the waist circumference, waist-hip ratio, blood pressure, and body mass index (BMI) were measured according to the standard procedure and recorded in the data collection sheet. Plasma glucose was measured using the glucose oxidase method, and serum DPP4 activity was measured using the colorimetry method. Results Participants with DM exhibited significantly higher serum DPP4 activity than NGT (DM vs. NGT: 481.4±70.4 pmol/min. vs. 420.3±49.2 pmol/min, mean±SD; p<0.001). A multivariate linear regression model adjusted for age, sex, BMI, and hypertension, found DM as an independent predictor for DPP4 activity (β=0.63.5, 95% CI 28.7-98.4, p=0.022). Conclusion DPP4 activity was significantly elevated in young participants with newly diagnosedT2DM. There might be a pathophysiological implication of DPP4 activity in young-onset T2DM.

Curviness is a better predictor of a woman’s body attractiveness than the waist-to-hip ratio

The waist-to-hip ratio (WHR) is commonly used as an indicator of mid-body fat distribution and is often used to answer health-related questions. It has also been suggested that a woman’s WHR can signal her reproductive fitness. This notion is supported by evidence indicating a relation between WHR and a woman’s physical attractiveness. However, it was also acknowledged that the actual fitness cue is the curviness of a woman’s body. While curviness is easy to perceive, it is difficult to quantify. Therefore, the WHR is often considered as a simple measure of body curviness. However, the WHR and curviness are not uniquely related. After replicating results of a pioneering study in this area, we therefore tested whether the WHR or curviness better predicts a woman’s physical attractiveness. As stimuli, we used simple line drawings of women’s bodies, differing in their curviness and width. The results demonstrate that curviness is a better predictor, even though we used a relatively simple curvature-based measure of curviness. This outcome indicates that the WHR is a poor measure of a woman’s body curviness and underscores the need for a more accurate measure of curviness when assessing the physical attractiveness of a woman’s body.

Obesity-related indices as predictors of lower extremity arterial disease in type 2 diabetes mellitus.

The aim of this study was to investigate the relationship between obesity and lower extremity arterial disease (LEAD) in patients with type 2 diabetes mellitus (T2DM). This retrospective study included 1821 patients with type 2 diabetes: 364 patients with LEAD and 1457 patients without LEAD. The patients were divided into training and internal test cohorts in a 7:3 ratio. LASSO regression analysis was used in the training cohort to filter relevant variables. Univariate and multivariate regression analyses were conducted to assess independent risk factors. A diagnostic nomogram was constructed and its discrimination was evaluated using the area under the ROC curve (AUC). The consistency was assessed using a calibration plot. The clinical application of the nomogram was evaluated by performing a decision curve analysis (DCA) and validated by an internal test cohort of the training cohorts. The LEAD group exhibited significantly higher values in obesity-related indices compared to the non-LEAD group, including waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). Multivariate analysis identified BMI, CI, BAI, and other parameters as independent risk factors for LEAD. A nomogram was constructed, and the AUC value of the nomogram was 0.746 in the training cohort and 0.663 in the internal test cohort. Obesity-related indices are associated with LEAD in patients with T2DM. Therefore, it is important to manage waist circumference and weight to reduce the risk of LEAD in patients with T2DM.

Hip and waist circumference correlations with demographic factors and pain intensity in patients with chronic pain.

Aim: This study aimed to investigate how demographic factors such as race, age, sex and ethnicity can impact hip circumference (HC) and waist circumference (WC) in patients with chronic pain.Materials & methods: We queried the NIH-sponsored All of Us database for patients with documented HC, WC and waist/hip ratio (WHR) data. This cross-sectional study categorized participants into four groups: total cohort, no chronic pain, mild/moderate chronic pain (numeric rating scale < 7) and severe chronic pain (numeric rating scale > 7). Further subgroup analyses were performed based on race, age, sex and ethnicity. We examined the correlation between chronic pain and WC, HC and WHR. ANCOVA analysis was used to determine to investigate demographics.Results: This study included 204,013 participants, with 25.22% having a chronic pain diagnoses. In most subgroups, females had significantly greater HC, while males had greater WC and WHR. WC (p<0.001 in females, p<0.01 in males), HC (p<0.001 in females) and WHR (p<0.001 in females, p<0.05 in males) were significantly greater in the severe pain group compared with the mild/moderate pain group.Conclusion: These findings suggest that when assessing HC and WC, demographic variables need to be considered to develop more personalized and comprehensive treatment plans for chronic pain patients.

Prevalence of anemia and related factors among Tabari cohort population: a cross-sectional study

BackgroundAnemia presents a considerable public health challenge, standing as a leading contributor to elevated rates of mortality and morbidity. Therefore, this study aimed to investigate the prevalence of anemia and related factors among Tabari cohort population.MethodsThis study involved a cross-sectional investigation carried out during the enrollment phase of the Tabari cohort. The Tabari cohort is a subset of the larger nationwide cohort study known as the “Prospective Epidemiological Research Studies in IrAN” (PERSIAN) cohort. The collected data included general information, anthropometric measurements, medical history and blood samples. Anemia was defined as a hemoglobin level less than 13 mg/dL for men and less than 12 mg/dL for women. Data were analyzed using SPSS V.16.ResultsOut of the 10,073 participants included in the analysis, 1,352 individuals (13.4%) were diagnosed with anemia. In the multiple regression analysis, the odds of anemia were significantly 2.31 times in females compared to males, 3.69 times in urban residents compared to rural residents, 1.41 times in social economic categories of IV and 1.35 in social economic categories of V compared to social economic categories of I, 1.70 times in drug abuse compared to non-drug abuse, 0.71 times in body mass index (BMI) categories of 25–29.9 kg/m² and 0.70 in BMI ≥ 30 kg/m² compared to BMI < 25, 0.77 times for triglycerides(TG) > 150 compared to below 150, 0.76 times for total cholesterol(TC) > 200 compared to below 200, 0.83 times for high waist-to-hip ratio (WHR) compared to low WHR, 1.33 times in low High-density Lipoprotein (HDL) compared to high HDL, 1.18 times in diabetics (DM) compared to non-DM, and 1.37 times in individuals with coronary heart diseases (CHD) compared to healthy individuals.ConclusionAnemia was a prevalent condition among Tabari cohort population. Several conditions including female gender, urban residence, Social economic level of IV and V, drug abuse, low HDL, high WHR, DM, and CHD conditions were significantly associated with increased odds of anemia. Furthermore, BMI categories of 25–29.9 kg/m² and ≥ 30 kg/m², high TC and high TG were significantly associated with decreased odds of anemia among this population.

Association of a composite trait for anthropometrics, adiposity and energy expenditure with cardiometabolic diseases: An age-stratified cohort and genetic risk score analysis.

Various anthropometric measures capture distinct as well as overlapping characteristics of an individual's body composition. To characterize independent body composition measures, we aimed to reduce easily-obtainable individual measures reflecting adiposity, anthropometrics and energy expenditure into fewer independent constructs, and to assess their potential sex- and age-specific relation with cardiometabolic diseases. Analyses were performed within European ancestry participants from UK Biobank (N = 418,963, mean age 58.0 years, 56% women). Principal components (PC) analyses were used for the dimension reduction of 11 measures of adiposity, anthropometrics and energy expenditure. PCs were studied in relation to incident type 2 diabetes mellitus (T2D) and coronary artery disease (CAD). Multivariable-adjusted Cox regression analyses, adjusted for confounding factors, were performed in all and stratified by age. Genome-wide association studies were performed in half of the cohort (N = 156,295) to identify genetic variants as instrumental variables. Genetic risk score analyses were performed in the other half of the cohort stratified by age of disease onset (N = 156,295). We identified two PCs, of which PC1 reflected lower overall adiposity (negatively correlated with all adiposity aspects) and PC2 reflected more central adiposity (mainly correlated with higher waist-hip ratio, but with lower total body fat) and increased height, collectively capturing 87.8% of the total variance. Similar to that observed in the multivariable-adjusted regression analyses, we found associations between the PC1 genetic risk score and lower risks of CAD and T2D [CAD cases <50 years, odds ratio: 0.91 (95% confidence interval 0.87, 0.94) per SD; T2D cases <50 years, odds ratio: 0.76 (0.72, 0.81)], which attenuated with higher age (p-values 8.13E-4 and 2.41E-6, respectively). No associations were found for PC2. The consistently observed weaker associations of the composite traits with cardiometabolic disease suggests the need for age-specific cardiometabolic disease prevention strategies.

A meta-analysis and polygenic score study identifies novel genetic markers for waist-hip ratio in African populations.

Understanding the genetic underpinnings of anthropometric traits in diverse populations is crucial for gaining insights into their biological mechanisms and potential implications for health. We conducted a genome-wide association study, meta-analysis, and gene set analysis of waist-hip ratio (WHR), WHR adjusted for BMI (WHRadjBMI), waist circumference, BMI, and height using the African Collaborative Center for Microbiome and Genomics Research (ACCME)cohort (n = ~11,000) for discovery and polygenic score target analyses and the Africa America Diabetes Mellitus (AADM) study (n = ~5200) for replication and polygenic score validation. We generated and compared polygenic scores from European, African, Afro-Caribbean, and multiethnic ancestry populations. The top loci associated with each trait in the meta-analysis were in CD36 (rs3211826 [p = 5.90 × 10-12] for WHR and rs73709003 [p = 1.75 × 10-13] for WHRadjBMI), IFI27L1 (rs59775050 [p = 2.66 × 10-08] for waist circumference), INPP4B (rs2636629 [p = 1.44 × 10-09] for BMI), and HMGA1 (rs6937622 [p = 1.40 × 10-15] for height) gene regions. A novel variant rs7797157, near GNAT3, was also significantly associated with WHR (p = 2.50 × 10-10) and WHRadjBMI (p = 2.66 × 10-11). The ancestry-specific parameters for the best predictive polygenic scores were European ancestry (R2 = 0.68%; p = 1.63 × 10-16) and multiethnic ancestry (R2 = 0.06%; p = 1.29 × 10-02) for WHR; European ancestry (R2 = 1.36%; p = 2.94 × 10-31) and multiethnic ancestry (R2 = 1.12%; p = 3.52 × 10-25) for BMI; and European ancestry (R2 = 3.16%; p = 2.95 × 10-73), African ancestry (R2 = 4.16%; p = 1.75 × 10-96), and African and Afro-Caribbean ancestry (R2 = 2.67%; p = 4.35 × 10-62) for height. The discovery of a novel locus for WHR and genetic signals for each trait and the assessment of polygenic score performance underscore the importance of conducting well-powered studies in diverse populations.

Influence of Obesity and Sociodemographic Features on the Physical Fitness of Breast Cancer Survivors.

Obesity is a chronic, relapsing, and progressive disease. The issue of obesity affects 50 to 80% of patients who have been diagnosed with breast cancer. The aim of this study is to assess the scale of the problem of obesity among breast cancer survivors (BCS) older than 60 years, evaluate their physical fitness, and study the relationship between the occurrence of obesity and levels of fitness among breast cancer survivors. The relationship between fitness and sociodemographic factors has also been analyzed. This original epidemiological clinical study included a cohort of 88 female breast cancer survivors treated in 2022 in Holycross Cancer Center, Kielce, Poland. A questionnaire involving demographic information and medical data was utilized. The Senior Fitness Test (SFT) battery has been used to assess the physical fitness of the patients. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were also analyzed. More than 70% of the studied breast cancer survivors were classified as overweight or obese, according to BMI and WC indices. Depending on the SFT trial, the regression coefficients indicated worse results in participants who were older, lived in urban areas, were professionally active, less educated, and had higher obesity indices. The analysis of the relationship between obesity indices and fitness components revealed that all obesity indices were significantly associated with lower body flexibility (BMI p = 0.0118, WC p = 0.0092, WHR p = 0.0364, WHtR p = 0.0095). Upper body flexibility was significantly correlated with BMI indices (p = 0.0091, p = 0.0193) and WHtR (p = 0.0095). Agility and balance were significantly associated with WC (p = 0.0193), WHR (p = 0.098), and WHtR (p = 0.0095). Lower body strength was significantly correlated with the WHR index (p = 0.0487). Significant differences were found in upper body strength depending on the WHtR category. In the studied group of breast cancer survivors, there is a high prevalence of overweight and obesity. With increasing obesity rates, older age, and lower education levels, physical activity measured by the SFT decreases. Living in urban areas and being professionally active also predispose to lower physical activity levels. As obesity indices increase, physical fitness decreases in trials assessing upper and lower body strength, upper and lower body flexibility, as well as agility and dynamic balance.

Relationship of Serum Nesfatin-1 and Insulin-Like Growth Factor-1 Levels with Adverse Pregnancy Outcomes in Patients with Polycystic Ovary Syndrome.

To investigate the relationship between serum nesfatin-1 and insulin-like growth factor-1 (IGF-1) levels and adverse pregnancy outcomes (APOs) in patients with polycystic ovary syndrome (PCOS). Observational study. Place and Duration of the Study: The study was performed from June 2021 to 2023 in the General Gynaecology section at the Maternity & Child Care Center of Qinhuangdao, Hebei, China. A total of 120 pregnant women with PCOS were divided into the control and study groups. The control group consisted of 70 pregnant women who successfully delivered healthy newborns, whereas the study group included 50 pregnant women who experienced APOs. The serum nesfatin-1 and IGF-1 levels in both groups were measured upon admission. The potential influencing factors of APOs in pregnant women with PCOS and the predictive value of serum nesfatin-1 and IGF-1 for APOs were analysed. Serum nesfatin-1 and IGF-1 levels were significantly higher in the study group than in the control group (p <0.05). Multivariate analysis revealed that testosterone ≥45μg/L, body mass index ≥25kg/m², waist-hip ratio ≥0.80, gestational diabetes mellitus, nesfatin-1, and IGF-1 were independent risk factors of APOs in patients with PCOS. The AUC for IGF-1 plus nesfatin-1 in predicting APOs in pregnant women with PCOS was 0.900 (95% CI: 0.845, 0.955). Elevated serum nesfatin-1 and IGF-1 levels are associated with pregnancy outcomes of patients with PCOS. Polycystic ovary syndrome, Nesfatin-1, Insulin-like growth factor-1, Adverse pregnancy outcome.

Neck Circumference: A Novel Anthropometric Tool for Screening Obesity Among Young Adults

Background: Obesity is a global health concern characterized by excessive fat accumulation, posing significant health risks that affect all age groups. Particularly among young adults, including medical students, obesity can lead to physical and psychosocial consequences, emphasizing the need for effective screening. The study was conducted to evaluate the effectiveness of using neck circumference as a screening tool for detecting obesity among young adults by assessing its correlation with other anthropometric measurements and determining the appropriate cut-off points Methodology: A cross-sectional study was conducted among 146 medical students at the Apollo Institute of Medical Sciences and Research, Chittoor, Andhra Pradesh. Data were collected using a semi-structured questionnaire and various anthropometric measurements, including neck circumference. Results: Neck circumference was higher among males, with a mean of 34.4±2.1cm for males and 30.2±1.9cm for females. Neck circumference showed significant positive correlations with height, weight, Body Mass Index, waist-hip ratio, hip and waist circumference. Neck circumference is proposed as a screening tool for assessing obesity among young adults, with cut-off values of 34cm for males and 30cm for females. Conclusions: Neck circumference is an effective screening tool for obesity among young adults, correlating with conventional anthropometric measures.

Clinical utility of novel anthropometric indices in identifying type 2 diabetes mellitus among South African adult females.

To assess the clinical utility of novel anthropometric indices and other traditional anthropometric indices in identifying the risk of type 2 diabetes mellitus (T2D) among South African adult females. In the first South African National Health and Nutrition Examination Survey (SANHANES-1), traditional [body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] and novel [a-body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), conicity index (CI), and Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE)] anthropometric indices were assessed. T2D was diagnosed using glycated haemoglobin (HbA1c) ≥ 6.5% among participants without known T2D. Basic statistics and multiple regression analyses were explored the association between anthropometric indices and newly diagnosed T2D. Receiver operating characteristic (ROC) curve analysis was used to measure the predictive ability of both traditional and novel indices. Among 2 623 participants, 384 (14.6%) had newly diagnosed T2D. All anthropometric indices mean values were significantly higher among participants with T2D (most p < 0.001). Higher mean values increased T2D odds e.g., in the model adjusted for age, employment, residence, and population group, odds ratio (OR) and 95% confidence interval (CI) for T2D with some of anthropometric indices were: 1.86 (1.60-2.15) for WC, 1.84 (1.59-2.13) for WHtR, 1.73 (1.51-1.99) for AVI, 1.71 (1.49-1.96) for BRI and 1.86 (1.57-2.20) for CUN-BAE. The top quartile for all indices had the highest T2D odds (p < 0.05). These outcomes were the highest for WC, AVI, and CUN-BAE and remained so even after removing the confounding effects of age, employment, population group, and residence. Based on the ROC analysis, none of the anthropometrical indices performed excellently (i.e., had an area under the curve [AUC] > 0.80). The WC, WHtR, AVI, BRI, and CUN-BAE, however, performed acceptably (AUCs 0.70-0.79), while also exhibiting corresponding cutoff values of 86.65cm, 0.57, 15.52, 3.83, and 38.35, respectively. The data shows that traditional and novel anthropometric indices similarly identifying newly diagnosed T2D among adult South African females. We recommend the continuing the use of traditional indices, as they are affordable and easy to use in our setting.

Association of Obesity, Inflammation, and Hypogonadism: A Cross-Sectional Study in Males Under 60 Years of Age.

Background Obesity is a significant global health issue closely associated with numerous metabolic disorders, including hypogonadism. Male obesity-related secondary hypogonadism (MOSH) is characterized by reduced testosterone levels, leading to various health complications. The bidirectional relationship between obesity and hypogonadism creates a vicious cycle, with obesity exacerbating hypogonadism and hypogonadism contributing to further obesity. Chronic inflammation, indicated by elevated C-reactive protein (CRP) levels, plays a crucial role in this interplay. The primary aim of this study is to investigate the role of obesity as an isolated factor contributing to hypogonadism. Materials and methods This observational, cross-sectional study was conducted from September 2022 to July 2024 at Dr. D.Y. Patil Medical College and Hospitals in Pune, India. A total of 80 male participants, all under 60 years of age with a BMI greater than 25 kg/m², were included in the study and classified as overweight or obese according to WHO criteria. Exclusion criteria included diabetes, age over 60 years, a BMI less than 25 kg/m², any testicular pathologies, and significant risk factors. After obtaining informed consent, participants underwent thorough clinical examinations and laboratory investigations. Patients who met the criteria were included in the study, with measurements taken for central obesity (waist circumference (WC) and waist-hip ratio (WHR)) and BMI. CRP levels were measured as an inflammatory marker indicative of chronic disease states. Statistical analyses, including correlation and regression analyses, were performed using SPSS software, version 22 (IBM SPSS Statistics, Version 22). Statistical significance was set at p < 0.05. Results The majority of participants fell within the 50-59 age group, with a mean age of 45.95 years. The study found strong positive correlations between BMI (r = 0.76), WC (r = 0.81), and WHR (r = 0.78) with CRP levels, indicating that central obesity is closely linked to systemic inflammation. Additionally, there were significant negative correlations between free testosterone and these anthropometric measures: BMI (r = -0.65), WC (r = -0.70), and WHR (r = -0.67), suggesting that increased adiposity is associated with lower testosterone levels. The strongest negative correlation observed was between CRP and free testosterone (r = -0.82), highlighting the impact of chronic inflammation on hypogonadism. Regression analysis further confirmed that CRP was a significant predictor of free testosterone levels (R-squared = 0.674), emphasizing the crucial role of inflammation in the pathophysiology of hypogonadism in obese individuals. Conclusion This study underscores the intricate relationship between obesity, chronic inflammation, and hypogonadism in men. The bidirectional nature of this relationship suggests that managing obesity and reducing systemic inflammation could potentially alleviate hypogonadism. Interventions focusing on weight loss, improving insulin sensitivity, and anti-inflammatory treatments may thus hold promise in restoring normal testosterone levels in obese men. Understanding and addressing the impact of obesity on male reproductive health is crucial, given the rising prevalence of obesity worldwide. Future research should explore therapeutic avenues and further elucidate the underlying mechanisms of this complex interplay.