Waist-to-height Ratio Research Articles

Breastfeeding duration and brain-body development in 9-10-year-olds: modulating effect of socioeconomic levels.

To investigate relationships of breastfeeding duration with brain structure and adiposity markers in youth and how these relationships are modified by neighborhood socioeconomic environments (SEEs). This was a cross-sectional study of youth enrolled in the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 7511). Mixed effects models examined associations of breastfeeding duration with global brain measures and adiposity markers, adjusting for sociodemographic, pre- and post-natal covariates. Stratified analysis was performed by area deprivation index (ADI) tertiles. Total cortical surface area (SA) (False Discovery Rate - FDR corrected P < 0.001), cortical (FDR corrected P < 0.001) and subcortical gray matter (GM) volume (FDR corrected P < 0.001) increased with increased breastfeeding duration. Body mass index (BMI) z-scores (FDR corrected P = 0.001), waist circumference (FDR corrected P = 0.002) and waist-to-height ratio (WHtR) (FDR corrected P = 0.001) decreased with increased breastfeeding duration. Breastfeeding duration was inversely associated with adiposity in youth from high- and medium- ADI neighborhoods, but positively associated with SA across ADI tertiles. In this cross-sectional study, longer breastfeeding duration was associated with lower adiposity indices, particularly in youth from lower SEEs and greater SA across SEE levels. Longer breastfeeding duration showed long-term associations with brain and body development for offspring. Building on previous findings that longer breastfeeding duration is associated with healthier weight gain, lower obesity risk, and brain white matter development in infancy, our results find longer breastfeeding duration to be associated with lower adiposity indices and greater cortical and subcortical gray matter volume, and cortical surface area during peri-adolescence. Children from lower socioeconomic environments (SEEs) demonstrated stronger negative associations of breastfeeding duration and adiposity indices, and children across SEEs showed positive relationships between breastfeeding duration and cortical surface area. Promoting breastfeeding, particularly among women from lower SEEs would confer long-term benefits to offspring.

Hip to Neck Circumference Ratio as an Independent Predictor of Difficult Intubation in Obese Patients

Background: Anaesthesiologists face difficult intubation (DI) more frequently in obese patients. Thus, we aimed to test if central obesity indices including hip circumference (HC), neck circumference (NC) or waist circumference (WC) can effectively predict DI and difficult mask ventilation (DMV) in them. Methods: HC, NC, WC, mask ventilation grade, intubation difficulty scale (IDS), history of snoring and obstructive sleep apnoea (OSA) were measured in 300 patients with BMI ≥ 30 kg/m2. Receiver operating characteristic curve (ROC) and multivariate, logistic regression were employed to identify predictors of DI (IDS ≥5) and DMV define as mask ventilation grade of 3 or 4. Results: DI and DMV were, respectively, detected in 14.7% and 12.7% of subjects. According to Multiple logistic regression analysis BMI (Odds ratio (OR):1.17, 95% confidence interval (CI): 1.08-1.28, p&lt;0.001), NC (OR: 1.26, 95% CI: 1.04-1.52, p=0.01), HC (OR:1.06, 95% CI: 1.03-1.10) and HC/NC ratio (OR: 4.9, 95% CI: 1.64-14.92, p= 0.004) considered as independent predictors of DI. The same analysis recognized BMI (OR:1.13, 95% CI: 1.03-1.24, p=0.006), WC (OR: 1.06, 95% CI:1.01-1.11, p=0.01), and HC/BMI ratio (OR=0.18, 95% CI:0.06-0.53, p=0.002) as DMV predictors. Sensitivity of BMI &gt;35.8 kg/m2, NC &gt;39.9 centimetres (cm), HC&gt;118cm and HC/NC ratio &gt;2.9 were determined as 70.5%, 68.2%, and 69.3% respectively for prediction of DI. Sensitivity of BMI &gt;36.6 kg/m2 and WC &gt;118 cm for predicting DMV were identified as 71.0% and 73.6%. Conclusion: This study proposes to simultaneously consider the HC/NC ratio and WC as a predictor of difficult airway in the obese.

Associations between waist-to-height ratio and abdominal aortic calcification: A cross-sectional study.

Waist-to-height ratio (WtHR) is a validated biomarker of central obesity that appears to be preferable to other body composition measurements in the evaluation of cardiovascular disease. The goal of this research was to explore the connection between WtHR and abdominal aortic calcification (AAC) among adults. On the basis of data from the 2013 to 2014 National Health and Nutrition Examination Survey, multivariate logistic regression, sensitivity analysis, as well as smoothed curve fitting were used to evaluate the connection between WtHR and AAC. Subgroup analyses along with interaction tests were done to see if this link was consistent across populations. Among 3079 participants aged >40 years, there was a negative association between WtHR and ACC. Each 1-unit emergence of WtHR was related to a 2% reduction in the probability of severe AAC in the entirely adjusted model (odds ratio = 0.02, 95% confidence interval: [0.00-0.12]). Participants in the highest WtHR quartile were 39% less likely to acquire severe AAC compared with those in the lowest quartile. (odds ratio = 0.61, 95% confidence interval: [0.37-1.00]). This negative association was more pronounced in the diabetes subgroup. We discovered a reversed U-shaped association between WtHR as well as AAC score utilizing a 2-stage linear regression model, with an intersection point of 0.56. WtHR was negatively associated with AAC among US adults.

Metformin Monotherapy With and Without Lifestyle Changes Affects Anthropometric Parameters, Blood Pressure, Blood Glucose, and Lipid Profile in Indian Patients With Newly Diagnosed Type 2 Diabetes.

Type 2 diabetes mellitus (T2DM) is a consequence of insulin resistance, insulin deficiency, or both. It is usually seen in adults and is a consequence of genetic (polygenic inheritance), endogenous (obesity and or hormonal factors), and environmental factors (e.g., obesogenic environment, endocrine disrupting chemicals, stress, and medicines). The prevalence of T2DM has increased over the past few decades. South Asians, including Indians, are more prone to central adiposity and develop lifestyle diseases like T2DM at body mass index values lower than those considered normal for the Western population. Generally, the first line of treatment is metformin monotherapy with lifestyle changes in patients with T2DM. Most of the research conducted on this drug is on Western subjects. Since the Indian population has genetic differences in the site of deposition of adipose and is more prone to develop lifestyle diseases, the effect of metformin may be different in Indians. Seventy-one (34 female, non-pregnant, non-lactating) adults with newly diagnosed T2DM were recruited in this short-duration pilot study after obtaining written informed consent. Patients regularly taking any drug were excluded, as were patients with chronic comorbidities. Treatment was initiated with metformin 500 mg OD. Lifestyle changes were recommended according to the age and physical condition of the patients. Anthropometric parameters (age, weight, height, BMI, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)), blood pressure, glycemic status (fasting and 2 h PP glucose and HbA1c), and lipid profile of the subjects were recorded before initiating and six months after initiating metformin monotherapy with lifestyle changes. Small but statistically significant improvements were observed in the WHR,WHtR, blood pressure, blood glucose, and glycated hemoglobin. Although improvement was also observed in weight and lipid profile, these changes were not statistically significant. This study shows that metformin monotherapy with lifestyle changes is suitable for patients of Indian origin and results in improvement in the WHR, WHtR, blood pressure, plasma glucose, and glycated hemoglobin.

A cohort study of association between triglyceride glucose index-waist to height ratio and cognitive impairment in middle-aged and elderly population in China

Objective: To explore the association between triglyceride glucose index (TyG)- waist to height ratio (WHtR)(TyG-WHtR) and cognitive impairment in middle-aged and elderly population. Methods: A cohort database was constructed using the data from the China Health and Retirement Longitudinal Study, with 8 946 participants in 2011 and 2015 as the baseline population. Cox proportional hazards regression models were used to estimate the association between TyG-WHtR levels at baseline and the risk of cognitive impairment in middle-aged and elderly population. The analysis was stratified by age and gender, respectively. Results: A total of 8 946 participants were included, with an average follow-up of 7.08 person-years and incidence density of cognitive impairment for 21.15 per 1 000 person-years. Compared with the Q1 level of TyG-WHtR, its Q3 and Q4 level increased the risk of cognitive impairment by 32% (HR=1.32, 95%CI: 1.09-1.60) and 47% (HR=1.47, 95%CI: 1.14-1.91), respectively. Trend test showed that the risk of cognitive impairment increased with the increase of TyG-WHtR level, and there was a dose-response relationship (P=0.001). Stratified analysis showed that in the population aged 45-59 years, compared with the Q1 level of TyG-WHtR, its Q3 level increased the risk of cognitive impairment by 34% (HR=1.34, 95%CI: 1.02-1.78). In the population aged 60 years and above, compared with the Q1 level, its Q3 and Q4 level increased the risk of cognitive impairment by 31% (HR=1.31, 95%CI: 1.01-1.72) and 63% (HR=1.63, 95%CI: 1.15-2.31), respectively. In the male group, there was no significant association between TyG-WHtR level and the risk of cognitive impairment (P>0.05). In the female group, compared with the Q1 level of TyG-WHtR, its Q4 level increased the risk of cognitive impairment by 76% (HR=1.76, 95%CI: 1.26-2.46). Conclusions: Middle-aged and elderly population with a higher TyG-WHtR level may increase the risk of cognitive impairment, and there were age and sex differences. Early cardiovascular health management and scientific and reasonable weight management are of great significance to preventing cognitive impairment.

Correlation of anthropometric measurements with body mass index and estimation of the proportion of metabolic syndrome among overweight and obese children: a hospital-based cross-sectional study

BackgroundEarly identification of overweight and obesity with the help of simple anthropometric tests can prevent from development of metabolic complications in these children. Body mass index (BMI) is the most...

Hypertension Prevalence and Related Risk Factors Among Mexican American Adults Are Increasing: National Health and Nutrition Examination Survey 1999 to 2018.

Acculturation affects hypertension prevalence among Hispanic people, but there have been no recent analyses specifically focused on Mexican American (MA) people. We sought to determine age-adjusted hypertension prevalence, abdominal obesity, and acculturation trends among MA adults and non-Hispanic White adults. Data from the NHANES (National Health and Nutrition Examination Survey) were analyzed in 2-year increments to observe trends in hypertension and risk factors (age, sex, body mass index, smoking status, abdominal obesity, waist-to-height ratio (WHtR), education, and income). Acculturation was based on three commonly used measures. The sample included 30 920 adults. Age-adjusted hypertension prevalence is higher in MA adults (52.7%) than White adults (48.3%). Hypertension risk factors-age, obesity prevalence, WHtR, acculturation-all significantly increased among MA adults, while smoking declined. Higher acculturation scores increased hypertension likelihood (odds ratio [OR], 1.44 [95% CI, 0.91-1.97]) for MA adults compared with those with lower acculturation scores. White adults with elevated WHtR >0.5 had a 40% higher risk of hypertension than those with WHtR <0.5, but among MA adults, elevated WHtR did not increase risk for hypertension. There was a significant increase in hypertension prevalence among MA adults from 2003 to 2018 at an average biennial rate of 2.23%. There was no change in hypertension prevalence among White adults from 1999 to 2018. Over 20 years of NHANES, more highly acculturated MA adults were at greater risk for hypertension, despite declines in smoking and controlling for age, sex, obesity status, education, and income. Finding ways to promote more traditional lifestyle and eating habits for MA adults could be a beneficial approach to reducing hypertension risk factors in this population.

Association of systemic inflammatory indices with anthropometric measures, metabolic factors, and liver function in non-alcoholic fatty liver disease

The present cross-sectional study aimed to explore the relationship between systemic inflammatory indices (SIIs) and anthropometric measures, metabolic, and liver function biomarkers in patients with non-alcoholic fatty liver disease (NAFLD). This study was carried out on 238 NAFLD patients with overweight or obesity, aged 18–55 years. Anthropometric measurements were done and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were estimated. Metabolic factors including serum glucose, lipid profile, liver function biomarkers, and complete blood cell count were assessed after a 24-h fasting state. SIIs including the ratios of neutrophil to lymphocyte (NLR), monocytes to lymphocyte (MLR), platelet to lymphocyte (PLR), and monocytes to high-density lipoprotein cholesterol (MHR) were calculated. Results indicate that apart from PLR, all of the SIIs significantly changed by increasing steatosis severity (all p < 0.05). Moreover, changes in NLR showed a significant association with anthropometric indices including waist circumference (p = 0.032), BMI (p = 0.047), and WHtR (p = 0.002), as well as levels of fasting blood sugar (p = 0.045), triglycerides, (p = 0.025) and low-density lipoprotein cholesterol (p = 0.006). The findings also indicate the relations between lipid profile and all studied SIIs, notably MHR and MLR. All of the SIIs exhibited associations with some liver function indices as well. MHR was positively correlated with the metabolic risk factors of NAFLD while, oppositely, PLR was considered as a preventive marker of NAFLD.

Assessment of the appropriate cutoff points for anthropometric indices and their relationship with cardio-metabolic indices to predict the risk of metabolic associated fatty liver disease

BackgroundResearch on Metabolic Associated Fatty Liver Disease (MAFLD) is still in its early stages, with few studies available to identify and predict effective indicators of this disease. On the other hand, early diagnosis and intervention are crucial to reduce the burden of MAFLD. Therefore, the aim of this research was to investigate the effectiveness of eleven anthropometric indices and their appropriate cut-off values as a non-invasive method to predict and diagnose MAFLD in the Iranian population.MethodsIn this cross-sectional study, we analyzed baseline data from the Hoveyzeh Cohort Study, a prospective population-based study conducted in Iran that enrolled a total of 7836 subjects aged 35 to 70 years from May 2016 through August 2018.ResultsThe optimal cut-off values of anthropometric indices for predicting MAFLD risk were determined for waist circumference(WC) (102.25 cm for males and 101.45 cm for females), body mass index (BMI) (27.80 kg/m2 for males and 28.75 kg/m2 for females), waist-to-hip ratio (WHR) (0.96 for both males and females), waist-to-height ratio (WHtR) (0.56 for males and 0.63 for females), body adiposity index (BAI) (23.24 for males and 32.97 for females), visceral adiposity index (VAI) (1.64 for males and 1.88 for females), weight-adjusted waist index (WWI) (10.63 for males and 11.71 for females), conicity index (CI) (1.29 for males and 1.36 for females), body roundness index (BRI) (4.52 for males and 6.45 for females), relative fat mass (RFM) (28.18 for males and 44.91 for females) and abdominal volume index (AVI) (18.85 for males and for 21.37 females). VAI in males (sensitivity: 77%, specificity: 60%, Youden’s Index: 0.37) and RFM in females (sensitivity: 76%, specificity: 59%, Youden’s Index: 0.35) were found to have higher sensitivity and specificity compared to other anthropometric indices. Furthermore, anthropometric indices demonstrated statistically significant correlations with various hepatic and cardiometabolic indices. Among these, the strongest positive correlations were observed between WC, BMI, BAI, BRI, and AVI with the Hepatic Steatosis Index (HSI), TyG-BMI, and TyG-WC, as well as between VAI and the Atherogenic Index of Plasma (AIP), Lipid Accumulation Product (LAP), Cardiometabolic Index (CMI), and the Triglyceride and Glucose (TyG) Index.ConclusionAnthropometric indices are effective in predicting MAFLD risk among Iranian adults, with WWI, VAI, and RFM identified as the strongest predictors. The proposed cutoff values could serve as a straightforward and non-invasive methods for the early diagnosis of MAFLD.

Weight-adjusted waist index as a practical predictor for diabetes, cardiovascular disease, and non-accidental mortality risk

Background and aimIdentifying a more suitable marker among various measures of adiposity, demonstrating strong associations and predictive ability for clinical use, remains a topic of debate. Weight-adjusted waist index (WWI) has been proposed as a novel index of adiposity, yet its exploration is limited, especially in Chinese populations. This study seeks to examine the associations between body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHTR), weight-adjusted waist index (WWI), waist circumference divided by body mass to the power of 0.333 (WC/M0.333), visceral adiposity index (VAI), lipid accumulation product (LAP), and the incidence of diabetes, cardiovascular disease, and non-accidental mortality in Chinese populations. Furthermore, our goal is to compare the respective predictive values of these measures for these health outcomes. Methods and resultsThis prospective cohort study included 21,750 subjects with a 9-year follow-up period. Cox proportional hazard models were used to investigate the relationship between eight anthropometric indexes and the incidence of diabetes, cardiovascular disease, and non-accidental mortality. The predictive value of these eight indexes was compared using the area under the curve metric. Significant positive associations were found between WWI and the risk of diabetes. Using the first quartile (Q1) of WWI as the reference group, hazard ratios with 95% confidence intervals for the risk of diabetes were 1.58 (0.98–2.55) for Q2, 2.18 (1.34–3.35) for Q3, and 2.27 (1.41–3.67) for Q4. Significant associations were observed with the highest quartile of WWI for the risk of cardiovascular disease [Q2: HR 1.45 (95% CI 1.06–1.98); Q3: 1.33 (0.97–1.83); Q4: 1.55 (1.13–2.14)] and risk of non-accidental mortality [Q2: 0.94 (0.80–1.11); Q3: 1.24 (1.04–1.48); Q4: 1.44 (1.16–1.79)]. Receiver operating characteristic analysis revealed that WWI exhibited superior discrimination and accuracy in predicting cardiovascular disease and non-accidental mortality compared to other adiposity indexes (BMI, WC, WHR, WHTR, WC/M0.333, VAI, and LAP). ConclusionWWI exhibited the most robust and consistent association with the incidence of cardiovascular disease and non-accidental mortality. Given its simplicity and widespread use, WWI emerges as a novel and practical predictor of diabetes, cardiovascular disease, and non-accidental mortality among the eight adiposity indexes investigated in this study.

Dose-response association of obesity and risk of mental health among tehranian residents: result of a cross-sectional study

BackgroundObesity and mental health issues are two of the most prevalent global public health issues for a significant portion of people. The purpose of this study was to investigate the relationship between obesity indicators and mental health in Tehran-dwelling Iranian adults.MethodsWe conducted a cross-sectional study on healthy Iranian adults using a convenience sampling technique. The short form of the Depression Anxiety and Stress Scale (DASS-21) was used to measure the outcome, and independent variables included body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body adiposity index (BAI), and a body shape index (ABSI). The relationship between obesity and mental health was investigated using a multivariate logistic regression model. The non-linear dose-response relationships were evaluated using restricted cubic splines (RCS) with three knots. The Benjamini-Hochberg procedure was used to adjust for multiple testing.ResultsIn our study of 434 participants, females made up 52% of the participants, with a mean age of 38.57 years. In all, 54.6%, 53.9%, and 56.6% were classified as having anxiety, depression, and stress respectively. Logistic regression analysis showed that the odds of mental health components including anxiety, depression, or stress was not significantly different across the tertiles of the obesity indicators. We observed a significant dose-response relationship between BAI and ABSI and the risk of anxiety (PBenjamini-Hochberg 0.028 > Pdose-response 0.023) and stress (PBenjamini-Hochberg 0.028 > Pdose-response 0.003) but not depression (PBenjamini-Hochberg 0.014 < Pdose-response 0.018). The lowest risk for anxiety was observed in people with a BAI of 28% and ABSI equal to 0.079. The risk of stress seemed to increase beyond an ABSI of 0.086.ConclusionOur findings showed no direct linear association between obesity indices and anxiety. However, a dose-response relationship was observed between BAI and ABSI and the risk of anxiety and stress, indicating the need for further investigation.

Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults

BackgroundTriglyceride and glucose (TyG) index, a surrogate marker of insulin resistance, has been validated as a predictor of cardiovascular disease. However, effects of TyG-related indices combined with obesity markers on cardiovascular diseases remained unknown. We aimed to investigate the associations between TyG index and modified TyG indices with new-onset cardiovascular disease and the time-dependent predictive capacity using a national representative cohort.MethodsThis study is a retrospective observational cohort study using data from China Health and Retirement Longitudinal Study (CHARLS) of 7 115 participants. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The modified TyG indices were developed combining TyG with body mass index (BMI), waist circumference (WC) and waist-to‐height ratio (WHtR). We used adjusted Cox proportional hazards regression to analyze the association and predictive capacity based on hazard ratio (HR) and Harrell’s C‐index.ResultsOver a 7-year follow‐up period, 2136 participants developed cardiovascular disease, including 1633 cases of coronary heart disease and 719 cases of stroke. Compared with the lowest tertile group, the adjusted HR (95% CI) for new-onset cardiovascular disease in the highest tertile for TyG, TyG-BMI, TyG-WC, and TyG-WHtR were 1.215 (1.088–1.356), 1.073 (0.967–1.191), 1.078 (0.970–1.198), and 1.112 (1.002–1.235), respectively. The C‐indices of TyG index for cardiovascular disease onset were higher than other modified TyG indices. Similar results were observed for coronary heart disease and stroke.ConclusionTyG and TyG-WhtR were significantly associated with new-onset cardiovascular diseases, and TyG outperformed the modified TyG indices to identify individuals at risk of incident cardiovascular event.

Anthropometric Profile, Overweight/Obesity Prevalence, and Socioeconomic Impact in Moroccan Children Aged 6-12 Years Old with Autism Spectrum Disorder.

In addition to the inherent challenges of their condition, children with autism spectrum disorder (ASD) are also susceptible to the global obesity epidemic. However, concerning the prevalence of obesity within the Moroccan ASD pediatric population, data remain scarce. A total of 258 children (boys = 195) aged 6 to 12 years old (mean = 9.4 ± 1.4) diagnosed with ASD participated in this study. Besides the body mass and height, four significant anthropometric markers for assessing obesity were examined: body mass index (BMI), body surface area (BSA), waist circumference (WC), and waist-to-height ratio (WHtR). Each anthropometric marker was categorized into one of three cardiometabolic risk levels based on the Z-scores and their corresponding percentiles. The distribution was as follows: low risk (≤84th percentile), high risk (85th-94th percentile), and very high risk (≥95th percentile). Subsequently, a multiple regression analysis was employed to develop an algorithm that generates a composite risk score. This score incorporates all the anthropometric variables simultaneously, while also weighting their individual contributions to the cardiometabolic risk. Children with ASD exhibit an anthropometric profile that markedly increases their susceptibility to cardiometabolic issues. While roughly 11% of the general Moroccan child population is overweight or obese, this figure soars to nearly 60% among children with ASD when considering the central adiposity markers. Furthermore, children from middle-class socioeconomic backgrounds display a more than threefold greater risk of developing overweight or obesity compared to their counterparts from lower socioeconomic backgrounds. This study has, for the first time, provided an up-to-date overview of the cardiometabolic risk in Moroccan children with ASD using traditional anthropometric measurements. The primary risk factor is clearly linked to central (abdominal) adiposity, which is recognized as the most deleterious. This study highlights the need to include general and central obesity markers. This study underscores the importance of incorporating both general and central adiposity markers for a more comprehensive assessment, and it emphasizes the need for closer monitoring within this high-risk population.

The Relationship of Central Obesity to Vitamin D Levels in Medical Faculty Students of Udayana University in Year 2023

Background: Central obesity is defined as the accumulation of excess fat in the abdomen as a result of an energy imbalance caused by genetic and environmental factors. Obesity may contribute to vitamin D deficiency (&lt;20 ng/mL) and insufficiency (20–29.9 ng/mL). Vitamin D is an important vitamin for the body and is fat-soluble. It can be synthesized by exposure to ultraviolet B light by converting 7-dehydrocholesterol into 1,25-dihydroxyvitamin D3 through hydroxylation in the liver and kidneys and then binding to the vitamin D receptor to carry out its function. Based on previous research, the mechanism for decreasing vitamin D levels in obese people can be explained through three theories: volumetric dilution, sequestration theory, and degradation theory. Method: The purpose of this study is to determine the relationship between central obesity and vitamin D levels in college students at the Faculty of Medicine, Udayana University, in 2023. This study used a quantitative analytical methodology with a cross-sectional design. The study's dependent variable was waist circumference, while the independent variable was vitamin D levels. A total of 60 college students (28 men and 30 women) as research subjects were taken using a purposive sampling technique. The research was carried out by selecting and collecting identity and anthropometric data on research subjects through questionnaires. Then, research subjects who meet the criteria will have their blood samples taken and their waist circumference measured. Blood samples were examined for vitamin D levels using the BT Lab brand ELISA Kit at the Biochemistry Laboratory, Faculty of Medicine, Udayana University. The research lasted for 4 months, starting in November 2023 and ending in February 2024. Results: This research found a very weak but not significant positive correlation between body height and vitamin D levels (r = 0.035; p = 0.793). There is a very weak but not significant positive relationship between height and vitamin D levels (r = 0.036; p = 0.783). There is a very weak but not significant inverse relationship between BMI and vitamin D levels (r = -0.034; p = 0.796). In this study, there was an insignificant relationship and a very weak positive correlation between waist circumference, as an indicator of central obesity, and vitamin D levels (r = 0.001 and p = 0.992). Conclusion: In this study, it can be concluded that there is no relationship between central obesity and vitamin D levels. Apart from that, a correlation coefficient was obtained, which showed a very weak correlation and a directly proportional relationship. Keywords: central obesity, waist circumference, vitamin D deficiency, students at the Faculty of Medicine, Udayana University

Predictive ability of novel and traditional anthropometric measurement indices for kidney stone disease: a cross-sectional study.

The aim of our research was to examine the association of novel anthropometric indices (a body shape index (ABSI), waist-to-height ratio (WtHR), conicity index (CI) and body roundness index (BRI)) and traditional anthropometric indices (body mass index (BMI), and waist (WC)) with prevalence of kidney stone disease (KSD) in the general population of United States (U.S.). In this study, we conducted a cross-sectional analysis among the participants in the National Health and Nutrition Examination Survey between the years 2007 and 2020. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) curves, and subgroup analysis were performed to analyze the association of ABSI, BRI, WtHR, CI, BMI and WC with prevalence of KSD. In total, 11,891 individuals were included in our study. The RCS plot shown that the linear positive association was found between ABSI, BRI, WtHR, CI, BMI and WC and KSD risk. Additionally, the ROC curve demonstrated that the area under the curve of ABSI, BRI, WtHR, and CI was significantly higher than traditional anthropometric indices, including BMI and WC. Our study found that the discriminant ability of ABSI, BRI, WtHR, and CI for KSD was higher than BMI and WC. Consequently, ABSI, BRI, WtHR, and CI have the potential to become new indicators for the detection of KSD risk in clinical practice.

The Accumulative Effect of Multiple Postnatal Risk Factors with the Risk of Being Overweight/Obese in Late Childhood.

Most past studies focused on the associations of prenatal risk factors with the risks of childhood overweight/obesity. Instead, more postnatal risk factors are modifiable, with less knowledge of their cumulative effects on childhood obesity. We analyzed data of 1869 children in an Australian birth cohort. Key postnatal risk factors included: maternal and paternal overweight/obesity during the child's infancy, tobacco exposure, low family socioeconomic score, breastfeeding duration < 6 months, early introduction of solid foods, and rapid weight gain during infancy. The risk score was the sum of the number of risk factors. The primary outcome is overweight/obesity in late childhood (11-12 years); secondary outcomes are high-fat mass index (FMI), body fat percentage (BF%), and waist-to-height ratio (WHtR). Poisson regression models were used in the analyses. Children with higher risk scores had higher risks of overweight/obesity (p-for-trends < 0.001). After adjusting covariates, compared with those with 0-1 risk factors, children with 4-6 risk factors had 4.30 (95% confidence interval: 2.98, 6.21) times higher risk of being overweight/obesity; the relative risks for high FMI, BF%, and WHtR were 7.31 (3.97, 13.45), 4.41 (3.00, 6.50), and 6.52 (3.33, 12.74), respectively. Our findings highlighted that multiple postnatal risk factors were associated with increased risks of being overweight/obesity in late childhood.

Relationship between obesity indexes and triglyceride glucose index with gastrointestinal cancer among the US population

BackgroundPrevious studies have found that obesity is closely related to gastrointestinal cancer (GIC), but there is insufficient evidence to compare the relationship between various obesity indexes and triglyceride glucose index with GIC. MethodsThis study analyzed the relationship between Body mass index (BMI), lipid accumulation product (LAP), Triglyceride glucose (TyG), Triglyceride glucose-body mass index (TyG-BMI), Triglyceride glucose-waist circumference (TyG-Waist), Triglyceride Waist-to-Height Ratio (TyG-WHtR), Visceral adiposity index (VAI), Waist circumference (Waist), Waist-to-Height Ratio (WHtR), and Weight-adjusted waist index (WWI) and GIC. The data from National Health and Nutrition Examination Survey from 1999 to 2018 was utilized. We conducted weighted multiple logistic regression to analyze the relationship between GIC and obesity indexes and subgroup analysis was carried out for further study. After that, survival analysis and restricted cubic spline (RCS)was used to analyze the relationship between various obesity indexes and the prognosis of GIC. ResultsLogistic regression showed that TyG [Q4 vs Q1: OR (95 %CI) = 2.082(1.016 ∼ 4.269)] and LAP [Q4 vs Q1: OR (95 %CI) = 2.046(1.010 ∼ 4.145)] were related to GIC. Survival analysis and RCS found BMI [Q4 vs Q1: HR (95 %CI) = 0.369(0.176 ∼ 0.773)], Waist [Q4 vs Q1: HR (95 %CI) = 0.381(0.193 ∼ 0.753)], and WWI [Q4 vs Q1: HR (95 %CI) = 0.403(0.188 ∼ 0.864)] were significantly related to the prognosis of GIC. ConclusionThere is a complex relationship between obesity and TyG with GIC. Certain indexes may be utilized to assist patients in developing suitable prevention and lifestyle strategies.

Alterations in salivary biomarkers in relation to periodontal health and obesity among Hong Kong adolescents

ObjectivesTo explore the association among salivary biomarkers, periodontal inflammation, and adiposity status in adolescents. MethodsThis study included 180 Hong Kong adolescents aged 12–15 years. Anthropometric measurements including central obesity surrogate, waist-to-height ratio (WHtR), and dental examinations were conducted. The participants were classified into four groups as follows: with normal WHtR and less extensive periodontal inflammation (NW+LP); with high WHtR and less extensive periodontal inflammation (HW+LP); with normal WHtR and more extensive periodontal inflammation (NW+P); and with high WHtR and more extensive periodontal inflammation (HW+P). Saliva were collected to measure salivary physicochemical parameters, total bacterial load, and levels of protein biomarkers including secretory phospholipase A2 group IIA (sPLA2-IIA) and interleukin-6 (IL-6). Data were analysed by Kruskal-Wallis test and Spearman correlation coefficient. ResultsSalivary IL-6 levels and sPLA2-IIA and IL-6 output differed significantly between groups (P = 0.041, 0.027, and 0.043, respectively). The NW+P group had significantly higher salivary IL-6 output than the NW+LP group (P = 0.034) and significantly lower salivary sPLA2-IIA output than the HW+LP group (P = 0.038). Salivary IL-6 levels were negatively correlated with the number of sextants with healthy gingivae and positively correlated with salivary sPLA2-IIA levels in participants with normal WHtR. Salivary sPLA2-IIA levels were negatively correlated with total salivary bacterial load in participants with high WHtR. ConclusionsSalivary IL-6 levels were associated with the extent of periodontal inflammation in participants with normal WHtR but not in those with high WHtR. Adolescents with different adiposity status may have different mechanisms of periodontal inflammation. Clinical significanceInvestigating salivary biomarkers of periodontal health holds potential benefits in identifying individuals at risk and customizing oral health promotion strategies for individuals with varying levels of adiposity, even as early as adolescence.

Waist-to-height ratio and body fat percentage as risk factors for ischemic cardiovascular disease: a prospective cohort study from UK Biobank

BackgroundThe independent effect of waist-to-height ratio (WHtR) and body fat percentage (BF%) on ischemic cardiovascular disease (CVD) remains uncertain. ObjectivesThis study aimed to investigate the independent associations of WHtR and BF% with ischemic CVD. MethodsThis prospective cohort study used data from the UK Biobank. BF% was calculated as fat mass divided by body weight, measured by bioimpedance. Cox models estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for overall and sex-specific associations of BF% and WHtR with risks of ischemic CVD and its main subtypes [myocardial infarction (MI) and ischemic stroke (IS)], adjusted for a range of potential confounders, including mutual adjustment for BF% and WHtR. ResultsIn total, 468,333 participants without existing CVD were included in the analysis. During 12 y of follow-up, 20,151 ischemic CVD events, 13,604 MIs, and 6681 ISs were recorded. WHtR was linearly associated with ischemic CVD, MI, and IS, with an HR per 5% increase of 1.23 (95% CI: 1.20, 1.25), 1.24 (95% CI: 1.21, 1.27), and 1.22 (95% CI: 1.18, 1.26), respectively, independent of BF%. A stronger association between WHtR and MI was seen in females than in males. The association of BF% with these outcomes was substantially attenuated in both sexes after adjustment for WHtR. For example, in females, the HR (highest compared with lowest fifth) was reduced from 1.94 (95% CI: 1.76, 2.15) to 1.04 (95% CI: 0.90, 1.01) for ischemic CVD, from 2.04 (95% CI: 1.79, 2.32) to 0.97 (95% CI: 0.81, 1.16) for MI, and from 1.81 (95% CI: 1.54, 2.13) to 1.07 (95% CI: 0.85, 1.33) for IS. ConclusionsWHtR, when used as a proxy measure for central obesity, is linearly associated with ischemic CVD in both sexes, which is independent of BF%. In contrast, the relationship of BF% with these health outcomes is predominantly driven by its correlation with WHtR.

Association of the CUN-BAE body adiposity estimator and other obesity indicators with cardiometabolic multimorbidity: a cross-sectional study

Cardiometabolic multimorbidity (CM), defined as the coexistence of two or three cardiometabolic disorders, is one of the most common and deleterious multimorbidities. This study aimed to investigate the association of Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with the prevalence of CM. The data were obtained from the 2021 health checkup database for residents of the Electronic Health Management Center in Xinzheng, Henan Province, China. 81,532 participants aged ≥ 60 years were included in this study. Logistic regression models were used to estimate the odd ratios (ORs) and 95% confidence intervals (CIs) for CUN-BAE, BMI, WC, and WHtR in CM. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminatory ability of different anthropometric indicators for CM. The multivariable-adjusted ORs (95% CIs) (per 1 SD increase) of CM were 1.799 (1.710–1.893) for CUN-BAE, 1.329 (1.295–1.364) for BMI, 1.343 (1.308–1.378) for WC, and 1.314 (1.280–1.349) for WHtR, respectively. Compared with BMI, WC and WHtR, CUN-BAE had the highest AUC in both males and females (AUC: 0.642; 95% CI 0.630–0.653 for males, AUC: 0.614; 95% CI 0.630–0.653 for females). CUN-BAE may be a better measure of the adverse effect of adiposity on the prevalence of CM than BMI, WC, and WHtR.