Obesity Indices Research Articles

The Impact of Donor History of Sleep Apnea on Corneal Tissue Evaluation Parameters.

The goal of this study was to explore whether the donor history of sleep apnea affects corneal tissue evaluation parameters. This was a retrospective study assessing the impact of donor history of sleep apnea in a dataset obtained from the Eversight Eye Bank. Comparative analysis and multivariate regression were used to assess differences in key parameters including endothelial cell density (ECD) and central corneal thickness. Data analyzed consisted of 50,170 tissues from 25,399 donors with no history of sleep apnea and 5473 tissues from 2774 donors with a history of sleep apnea. Tissue from donors with a history of sleep apnea showed lower ECD than those from donors with no history of sleep apnea (-51 cells/mm2, P < 0.001). Multivariate linear regression demonstrated that history of sleep apnea was a predictor of lower ECD by 13.72 cells/mm2 (P = 0.0264). Secondary analysis demonstrated that underweight and obese body mass indexes were significant predictors of increased ECD in donors with no history of sleep apnea (P < 0.0001, P = 0.025, respectively). Body mass index category was not a significant predictor of ECD in donors with a history of sleep apnea. In a smaller subset of 10,756 tissues, sleep apnea was not a significant predictor of central corneal thickness. This is the first study to demonstrate that a donor's history of sleep apnea is associated with a lower ECD in a large eye bank dataset. Future studies are needed to investigate whether history of sleep apnea affects posttransplantation outcomes.

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.

Association of Physical Fitness With the Work Ability of Aging Workers With Physically Demanding Jobs in a University Hospital in Thailand

BackgroundA decrease in physical fitness with age can impact work ability. Exploring the role of physical fitness is important for identifying interventions to enhance work ability among aging workers. We sought to determine the association between physical fitness and physically demanding work ability in aging workers. MethodsWe recruited workers aged 45–65 years from eight departments of a university hospital in Bangkok, Thailand. Work ability was assessed using the work ability index (WAI), and physical fitness components were evaluated through various tests. Associations between work ability and physical fitness were examined using a multivariable regression analysis. ResultsThe response rate was 46.4% (n = 216). The mean WAI score was 41.6. Participants with an overweight or obese body mass index (BMI) had 1.8 (95% CI –3.1, –0.4) points lower WAI scores than did those within a healthy BMI range. A handgrip strength test revealed that participants in the good/very good group had 2.5 (95% CI: 0.6, 4.3) higher WAI scores than did those in the very poor/poor group. For a single-leg stance test, participants in the above-average group had 2.1 (95% CI: 0.7, 3.5) points greater WAI scores than did those in the below-average group. No significant associations were found between work ability and 3-min step, chair stand, or sit-and-reach test scores. ConclusionThe overall work ability of the participants was good. Body composition, muscle strength, and balance were associated with work ability. Promoting physical fitness is a viable strategy for enhancing work ability among aging workers.

Charting the cascade of physical activities: implications for reducing sitting time and obesity in children

ObjectiveTraditional intensity-based physical activity measures and variable-centered statistics may not fully capture the complex associations between sitting time, physical activity, and obesity indices. This study investigates the associations between device-measured sitting, standing and different modes of physical activity (i.e., slow walking, brisk-walking, cycling and high-intensity activity) and measured body mass index (BMI) in children using person-based latent profile analyses and Partial Least Squared-structural equation modeling (PLS-SEM).MethodsA total of 344 children (11.5 ± 0.81 years, boys n = 139) wore a triaxial accelerometer (Fibion®) on their thigh for eight days, and their weight and height were measured at school. Latent profile analysis formed profiles including BMI, total sitting time, and physical activities, and their associations were further studied with PLS-SEM.ResultsThe latent profile analysis indicates that high levels of physical activity always coincide with low sitting time. Both normal weight and overweight/obesity can coexist with low physical activity and prolonged sitting. The PLS-SEM results highlight a cascade-like sequence in the relationship between various types of physical activity, sitting time, and BMI. This sequence begins with light-intensity activities, such as standing, progresses to higher-intensity activities, and ultimately through reduced sitting time (sample mean= -0.01; effect size = 0.0001; p = 0.02), mediates a decline in BMI (sample mean= -0.06; effect size = 0.0036; p = 0.01). The most positive effects on sitting time and BMI occur when this pattern is adhered to consistently, suggesting that omitting steps could negatively impact the associations.ConclusionThese findings suggest that persuading children to increase physical activity incrementally, starting from low-intensity activities such as standing and slow walking to activity types with higher intensities, possibly influence BMI by mediating reduced sitting time. This approach is particularly inclusive for overweight and obese children, taking into account the potential challenges they may encounter when performing activity types with high intensity. These cross-sectional associations need to be verified with longitudinal and experimental designs.

Effect of TSH on aromatase expression of ovarian granulosa cells in obese mice.

Aromatase plays an important role in ovarian development, the normal progress of the menstrual cycle, and fertility status. Elevated aromatase activity is linked to obesity. There is a bidirectional relationship between obesity and thyroid function. Few studies have investigated the relationship between TSH and ovarian aromatase in obesity. Our aim was to investigate the effect of TSH on aromatase expression of ovarian granulosa cells in obese mice. Female mice pups were divided into an obesity group and a control group. Obese parameters and the time of pubertal onset were recorded. At the age of 5weeks, blood and tissues were obtained. Serum aromatase and hormone concentrations were measured using ELISA. The granulosa cells were isolated and exposed to variable concentrations (0μM, 1μM, 10μM, 100μM) of TSH. The expression of CYP19A1 mRNA and protein were assessed via RT-qPCR and western blot. In female mice, body weight, Lee's obesity index, and serum levels of E2, aromatase, and TSH were significantly higher in the obesity group compared to the control group, whereas the time of pubertal onset and serum T3 and T4 concentrations were significantly lower (all P < 0.001). In granulosa cells, the expression of CYP19A1 mRNA in the obesity group was lower than that in the control group at 1μM and 100μM concentrations of TSH (both P < 0.001). The expression of CYP19A1 protein in the obesity group was higher than that in the control group after TSH stimulation (P = 0.014, P < 0.001, and P = 0.004, respectively). With the increase of TSH concentrations, the expression of CYP19A1 mRNA and protein in the two groups significantly increased (all P < 0.001). Early puberty and elevated serum aromatase and TSH levels were found in obese female mice. In the granulosa cells of obese mice, TSH directly regulates aromatase expression in a dose-dependent manner.

Association of weight-adjusted waist index with all-cause mortality among non-Asian individuals: a national population-based cohort study

IntroductionThe Weight-Adjusted Waist Index (WWI) is a new indicator of obesity that is associated with all-cause mortality in Asian populations. Our study aimed to investigate the linear and non-linear associations between WWI and all-cause mortality in non-Asian populations in the United States, and whether WWI was superior to traditional obesity indicators as a predictor of all-cause mortality.MethodsWe conducted a cohort study using data from the 2011–2018 National Health and Nutrition Examination Survey (NHANES), involving 18,592 participants. We utilized Cox proportional hazard models to assess the association between WWI, BMI, WC, and the risk of all-cause mortality, and performed subgroup analyses and interaction tests. We also employed a receiver operating characteristics (ROC) curve study to evaluate the effectiveness of WWI, BMI, and WC in predicting all-cause mortality.ResultsAfter adjusting for confounders, WWI, BMI, and WC were positively associated with all-cause mortality. The performance of WWI, BMI, and WC in predicting all-cause mortality yielded AUCs of 0.697, 0.524, and 0.562, respectively. The data also revealed a U-shaped relationship between WWI and all-cause mortality. Race and cancer modified the relationship between WWI and all-cause mortality, with the relationship being negatively correlated in African Americans and cancer patients.ConclusionsIn non-Asian populations in the United States, there is a U-shaped relationship between WWI and all-cause mortality, and WWI outperforms BMI and WC as a predictor of all-cause mortality. These findings may contribute to a better understanding and prediction of the relationship between obesity and mortality, and provide support for effective obesity management strategies.

The apple doesn't fall far from the tree: is there a connection between the body mass indexes of adolescents and their parents?

Adolescent cases suffering from obesity tend to increase in middle-income countries. This study focused on the relationship between adolescent obesity and parents body mass index (BMI) and the variables of satisfaction, diet implementation and sports promotion. This cross-sectional study was conducted among adolescents living in the Mediterranean region (n=522, evaluated n=488). Anthropometric measurements were taken by expert researchers and data were collected using face-to-face survey technique. The average BMI of the adolescents and parents' was found to be above normal values. In adolescents, there was a positive and very good correlation with maternal BMI (r=0.711, p<0.01), a positive and moderate correlation with paternal BMI (r=0.512, p<0.01); In girl adolescents, it was positively and very well with maternal BMI (r=0.731, p<0.01), positively and moderately with father BMI (r=0.549, p<0.01); In boy adolescents, a positive and good correlation was found with maternal BMI (r=0.698, p<0.01), and a positive and moderate correlation with paternal BMI (r=0.459, p<0.01). In the analyzes comparing those who thought obesity threatened them (group 1) and those who did not think it threatened them (group 2), there was a statistically significant difference between the groups in terms of BMI distribution, satisfaction with body weight, diet program implementation, diet recommendation by the family and sports encouragement (p<0, 05). In a cross-sectional perspective paternal obesity is also significant in adolescents and the correlation with maternal obesity is relatively more effective. Also includes evidence of individual efforts and parental contribution in adolescents who see obesity as a threat.

Association of weight-adjusted waist index with hyperuricemia and gout among middle-aged and older adults in America: a cross-sectional analysis of NHANES 2007-2014.

The weight-adjusted waist circumference index (WWI), a novel obesity indicator, gives better accuracy in assessing both muscle and fat mass. Our goal was to evaluate the relationship between WWI and the occurrence of hyperuricemia/gout among middle-aged and older adults in America. We analyzed the National Health and Nutrition Examination Survey (NHANES) data from the 2007-2014 cycles. Logistic regression analyses, subgroup analyses, and restricted cubic splines (RCS) were performed to evaluate the association between WWI and hyperuricemia/gout prevalence. A total of 5332 adults aged 50years and above were included in this study. The prevalence of hyperuricemia and gout was 23.20% and 6.70% respectively. The fourth quartile of WWI was associated with a 56% higher risk for hyperuricemia, compared with the first quartile (OR = 1.56, 95% CI 1.07-2.27, P trend < 0.001). A similar association was found between continuous WWI increase and OR of hyperuricemia in the fully adjusted model (OR = 1.35, 95% CI = 1.13-1.61, P < 0.05). However, WWI was not significantly associated with the prevalence of gout. The RCS model suggested a significant linear relationship between WWI and the risk of hyperuricemia/gout. Stratification analysis showed that the positive associations of WWI with the risk of hyperuricemia were more pronounced in participants who were women, aged 50-59, smokers, no physical activity, non-diabetes, hypertension, and hyperlipidemia. Our findings suggest a positive correlation between WWI and hyperuricemia among middle-aged and older adults in America. Employing WWI as a tool for hyperuricemia prevention may be meaningful. Key Points • Weight-adjusted waist circumference index is a new obesity evaluation index. • Weight-adjusted waist circumference index is associated with hyperuricemia not gout. • The association is more pronounced in participants who were women, aged 50-59, smokers, no physical activity, non-diabetes, hypertension, and hyperlipidemia.

Association between chinese visceral adiposity index and risk of kidney stones in a health screening population: an ultrasonography based cross-sectional study

BackgroundObesity is an important risk factor for kidney stones(KS). Chinese Visceral Adiposity Index (CVAI), as a specific indicator for visceral obesity in the Chinese population, can more accurately assess the visceral fat content in Chinese individuals compared to Visceral Adiposity Index (VAI). However, the association between CVAI and risk for KS has not been studied.MethodsA total of 97,645 participants from a health screening cohort underwent ultrasound examinations for the diagnosis of kidney stones, along with measurements of their CVAI. Logistic regressions were utilized to determine the relationship between different quartiles of CVAI and the incidence of kidney stones. Simultaneously, subgroup analysis and the computation of dose-response curves were employed to pinpoint susceptible populations.ResultsAmong the participants, 2,888 individuals (3.0%) were diagnosed with kidney stones. The mean CVAI values ± standard deviation for the four groups were: Q1 (18.42 ± 19.64), Q2 (65.24 ± 10.39), Q3 (98.20 ± 9.11), and Q4 (140.40 ± 21.73). In the fully adjusted multivariable model, CVAI was positively correlated with urolithiasis (OR = 1.001; 95% CI = 1.000, 1.002). Compared with the first quartile of CVAI, the population in the fourth quartile of CVAI had a higher prevalence of kidney stones (OR = 1.231; 95% CI = 1.066, 1.415). Through subgroup analysis, a positive correlation between CVAI and the risk of kidney stones was found in non-smokers (OR = 1.001, 95%CI:1.000, 1.002), non-drinkers (OR = 1.001, 95%CI:1.000, 1.002), non-hypertensive subgroups (OR = 1.003, 95%CI:1.002, 1.003), and non-diabetes subgroups (OR = 1.001, 95%CI:1.000, 1.002).ConclusionThe findings suggest that CVAI could be a reliable and effective biomarker for assessing the potential risk of kidney stone prevalence, with significant implications for the primary prevention of kidney stones and public health.

Association between cardiometabolic index and hepatic steatosis and liver fibrosis: a population-based study.

The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis. A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status. A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)]. The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. Larger prospective investigations are needed to confirm our findings.

Serum γ-glutamyltransferase levels and obesity status changes the risk of prehypertension in Chinese adults

ObjectiveIt’s well known that γ-Glutamyltransferase (γ-GGT) and obesity plays an important role in the development of preHT. However, the effect of γ-GGT on preHT in populations with different obesity status remains unclear. MethodsFrom February 2014 to January 2018, a total of 20,368 participants were enrolled in this study after excluding those with hypertension and liver diseases. Fasting blood samples were collected to measure γ-GGT and blood lipid levels and glucose indices. Demographic andclinical parameters such assex, age, height, weight, neck circumference (NC), waist circumference (WC), hip circumference (HC), and body fat ratio (BFR); and information on smoking and alcohol consumption were collected by trained medical professionals. ResultsParticipants were divided into three groups based on obesity status. The prevalence of preHT was 83.5 % in the obesity group was higher than that in the overweight group (58.9 %) and the normal group (47.1 %). γ-GGT in different categories of obesity indices were significantly different, and higher obesity indices were found with higher γ-GGT levels. The interaction of γ-GGT and obesity indices such as NC, WC, HC, and BFR on the prevalence of preHT was significant (P = 0.028, 0.002, 0.007, and 0.034, respectively). Serum γ-GGT was found to be positively associated with preHT in participants with normal and overweight body mass indices. ConclusionOur results indicate that γ-GGT is a risk factor for preHT in participants who are nonobese, and that the obesity indices NC, WC, HC, BFR, and γ-GGT were contributing factors in increasing the risk of preHT.

Association Between Triglyceride-Glucose Index and Waist-To-Hip Ratio with Type 2 Diabetic Retinopathy in the Chinese Population: A Cross-Sectional Study

ABSTRACT Background The triglyceride-glucose (TyG) index serves as a convenient indicator of insulin resistance, which has been demonstrated to be associated with diabetic retinopathy(DR). However, the relationship between TyG-WHR, a novel index combining TyG with the central obesity indicator WHR, and retinopathy in patients with type 2 diabetes remains unclear. Therefore, this study aims to investigate the correlation between TyG-WHR and DR in adult patients with type 2 diabetes. Methods This cross-sectional study included 1702 patients with T2DM. Logistic regression analysis was performed to examine the associations between TyG-WHR and DR. Additionally, the receiver operating characteristic curve (ROC curve) was utilized to assess the predictive efficacy of TyG-WHR for DR. Results Patients in higher TyG-WHR quartiles demonstrated an increased presence of DR, and TyG-WHR increased with the severity of DR. Moreover, TyG-WHR remained significantly associated with a higher odds ratio (OR) for DR (OR 1.223, 95% confidence interval [CI] 1.078–1.387, p < 0.05) after multivariate adjustment. Additionally, receiver operating characteristic curve analysis indicated that the optimal cutoff value for TyG-WHR in predicting DR presence was 8.8983, with a sensitivity of 61.00%, specificity of 48.50%, and area under the curve (AUC) of 0.555. Conclusions In patients with T2DM, TyG-WHR was significantly elevated in those with DR and independently associated with an increased risk of DR presence in Chinese patients. This implies that TyG-WHR could potentially serve as a valuable and dependable biomarker for DR, underscoring the importance of giving greater consideration to T2DM patients with elevated TyG-WHR to effectively prevent and mitigate the onset of DR and associated adverse health outcomes.

Revealing brain cell-stratified causality through dissecting causal variants according to their cell-type-specific effects on gene expression

The human brain has been implicated in the pathogenesis of several complex diseases. Taking advantage of single-cell techniques, genome-wide association studies (GWAS) have taken it a step further and revealed brain cell-type-specific functions for disease loci. However, genetic causal associations inferred by Mendelian randomization (MR) studies usually include all instrumental variables from GWAS, which hampers the understanding of cell-specific causality. Here, we developed an analytical framework, Cell-Stratified MR (csMR), to investigate cell-stratified causality through colocalizing GWAS signals with single-cell eQTL from different brain cells. By applying to obesity-related traits, our results demonstrate the cell-type-specific effects of GWAS variants on gene expression, and indicate the benefits of csMR to identify cell-type-specific causal effect that is often hidden from bulk analyses. We also found csMR valuable to reveal distinct causal pathways between different obesity indicators. These findings suggest the value of our approach to prioritize target cells for extending genetic causation studies.

Changes in the combination of the triglyceride-glucose index and obesity indicators estimate the risk of cardiovascular disease

BackgroundCardiovascular disease (CVD) is closely associated with the triglyceride glucose (TyG) index and its related indicators, particularly its combination with obesity indices. However, there is limited research on the relationship between changes in TyG-related indices and CVD, as most studies have focused on baseline TyG-related indices.MethodsThe data for this prospective cohort study were obtained from the China Health and Retirement Longitudinal Study. The exposures were changes in TyG-related indices and cumulative TyG-related indices from 2012 to 2015. The K-means algorithm was used to classify changes in each TyG-related index into four classes (Class 1 to Class 4). Multivariate logistic regressions were used to evaluate the associations between the changes in TyG-related indices and the incidence of CVD.ResultsIn total, 3243 participants were included in this study, of whom 1761 (54.4%) were female, with a mean age of 57.62 years at baseline. Over a 5-year follow-up, 637 (19.6%) participants developed CVD. Fully adjusted logistic regression analyses revealed significant positive associations between changes in TyG-related indices, cumulative TyG-related indices and the incidence of CVD. Among these changes in TyG-related indices, changes in TyG-waist circumference (WC) showed the strongest association with incident CVD. Compared to the participants in Class 1 of changes in TyG-WC, the odds ratio (OR) for participants in Class 2 was 1.41 (95% confidence interval (CI) 1.08–1.84), the OR for participants in Class 3 was 1.54 (95% CI 1.15–2.07), and the OR for participants in Class 4 was 1.94 (95% CI 1.34–2.80). Moreover, cumulative TyG-WC exhibited the strongest association with incident CVD among cumulative TyG-related indices. Compared to the participants in Quartile 1 of cumulative TyG-WC, the OR for participants in Quartile 2 was 1.33 (95% CI 1.00–1.76), the OR for participants in Quartile 3 was 1.46 (95% CI 1.09–1.96), and the OR for participants in Quartile 4 was 1.79 (95% CI 1.30–2.47).ConclusionsChanges in TyG-related indices are independently associated with the risk of CVD. Changes in TyG-WC are expected to become more effective indicators for identifying individuals at a heightened risk of CVD.

Association between weight-adjusted-waist index and cognitive decline in US elderly participants.

To investigate the association between the weight-adjusted-waist index (WWI) and cognitive decline in elderly Americans from 2011 to 2014. A cross-sectional study was conducted on 2,762 elderly participants from the National Health and Nutrition Examination (NHANES) between 2011 and 2014. WWI was calculated by dividing waist circumference (cm) by the square root of body weight (kg). Participants assessed their cognitive functions using tests such as the DSST, AFT, and CERAD W-L. In this research, multiple logistic regression, HIA, limited cubic spline (RCS), and threshold effect analysis methods were utilized to explore the relationship between cognitive decline and WWI. The study involved 2,762 participants aged 60 years and older, comprising 1,353 males (49%) and 1,409 females (51%), with a median age of 69.3 years (standard deviation = 6.7). The analysis revealed that the risk of cognitive decline was positively associated with the WWI. Fully adjusted models indicated significant correlations with the CERAD W-L [odds ratio (OR) = 1.24, 95% confidence interval (CI) = 1.06-1.46, p < 0.008], AFT (OR = 1.27, 95% CI = 1.08-1.49, p = 0.003), and DSST (OR = 1.56, 95% CI = 1.29-1.9, p < 0.001). Subgroup analysis demonstrated a consistent relationship across different population settings except for gender (average of interactions, p > 0.05). A J-shaped relationship between WWI and low DSST scores was observed using multivariate restricted cubic spline (RCS) regression (P for non-linearity <0.05), with the curve steepening when WWI ≥ 12.21 cm/√kg. Additionally, the study found that WWI was more strongly associated with an increased risk of cognitive decline than other obesity indicators such as Body Mass Index (BMI), waist circumference (WC), and A Body Shape Index (ABSI). Our data have shown a significant positive association between the WWI and a higher risk of cognitive decline in older Americans, with a J-shaped non-linear relationship between WWI and DSST. In addition, our findings indicate that WWI was associated with greater cognitive decline than other markers of obesity.

Central obesity may affect bone development in adolescents: association between abdominal obesity index ABSI and adolescent bone mineral density

PurposePrevious studies have suggested that obesity defined by body mass index(BMI) is a protective factor for bone mineral density(BMD), but have overlooked the potential influence of different types of obesity. This study aims to evaluate the correlation between abdominal obesity index A Body Shape Index(ABSI) and adolescent bone density, and analyze the relationship between abdominal obesity and bone metabolism.MethodsA total of 1557 adolescent participants were included in NHANES from 2007 to 2018. Calculate the ABSI using a specific formula that takes into account waist circumference and BMI. A weighted multiple linear regression model is used to evaluate the linear correlation between ABSI and BMD. Forest plots are used to analyze the correlations between subgroups, and cubic splines are limited to evaluate the nonlinear correlations and saturation effects between ABSI and BMD.ResultsAfter adjusting for confounding factors, there was a significant linear correlation (P < 0.01) between ABSI and femoral BMD, both as a continuous variable and an ordered categorical variable. The restrictive cubic spline curve indicates a significant nonlinear correlation and saturation effect between adolescent ABSI and BMD.ConclusionResearch has shown a significant negative correlation between ABSI and BMD at the four detection sites of the femur, and this correlation may vary slightly due to age, race, family income, and different detection sites. The research results indicate that compared to overall body weight, fat distribution and content may be more closely related to bone metabolism.

Association between body roundness index (BRI) and gallstones: results of the 2017–2020 national health and nutrition examination survey (NHANES)

BackgroundGallstones are associated with obesity, and the BRI is a new obesity index that more accurately reflects body fat and visceral fat levels. The relationship between BRI and gallstone risk is currently unknown, and we aimed to explore the relationship between BRI and gallstone prevalence.MethodsA cross-sectional study was conducted utilizing data from the 2017–2020 NHANES involving a total of 5297 participants. To assess the association between BRI and gallstones, we used logistic regression analysis, subgroup analysis, and interaction terms. In addition, we performed restricted cubic spline (RCS) analysis and threshold effects analysis to characterize nonlinear relationships. We assessed the ability of BRI and Body mass index (BMI) to identify gallstones using receiver operating curve (ROC) analysis and area under the curve (AUC), and compared them using the Delong test.ResultsOf the 5297 participants aged 20 years and older included in the study, 575 had gallstones. In fully adjusted models, a positive association between BRI and gallstone prevalence was observed (OR = 1.16, 95% CI: 1.12–1.20, P < 0.0001). Individuals in the highest quartile of BRI had a 204% increased risk of gallstones compared with those in the lowest quartile (OR = 3.04, 95% CI: 2.19–4.22, P < 0.0001). The correlation between BRI and gallstones persisted in subgroup analyses. RCS analyses showed a nonlinear relationship between BRI and gallstones. The inflection point was further found to be 3.96, and the correlation between BRI and gallstones was found both before and after the inflection point. ROC analysis showed that BRI (AUC = 0.667) was a stronger predictor of gallstones than BMI (AUC = 0.634).ConclusionsElevated BRI is associated with an increased risk of gallstones in the U.S. population, and BRI is a stronger predictor of gallstones than BMI. Maintaining an appropriate BRI is recommended to reduce the incidence of gallstones.

‘Heavy’ life satisfaction: Unveiling the intricate relationships between obesity and well-being in Abu Dhabi

The study investigates the intricate relationship between obesity and well-being among residents in Abu Dhabi. Obesity is recognized as a significant public health concern worldwide, with potential implications for individuals' overall well-being. Understanding the complex associations between obesity and various aspects of well-being is essential for developing effective interventions to promote healthier lifestyles and improve overall quality of life. The research employs path analysis to explore the direct associations between obesity and multiple well-being indicators. Data is collected from residents in Abu Dhabi, focusing on subjective health, subjective mental health, life satisfaction, physical exercise, and satisfaction with social relationships. Path analysis allows for a comprehensive examination of the relationships between obesity and well-being indicators, providing valuable insights into the potential impacts of obesity on individuals' overall well-being. The path model reveals significant direct associations between self-perceived obesity and various well-being indicators. Specifically, obesity demonstrates direct impacts on life satisfaction, subjective mental health, subjective health, physical exercise, and satisfaction with social relationships. Notably, obesity is negatively associated with life satisfaction (-0.017) but positively associated with mental health (0.111), albeit within a negatively framed context. This suggests that obesity may adversely affect mental health despite its positive association. The findings underscore the complexity of the relationship between obesity and well-being among residents in Abu Dhabi. While obesity negatively impacts life satisfaction, it paradoxically shows a positive association with mental health, albeit within a negatively framed context. These results emphasize the importance of addressing obesity as part of efforts to promote overall well-being and improve quality of life among residents in Abu Dhabi. Future interventions should focus on promoting healthier lifestyles and addressing the psychological impacts of obesity to enhance residents' overall well-being and happiness.

Assessing the Risk of Normal Weight Obesity in Korean Women across Generations: A Study on Body Composition and Physical Fitness.

Normal weight obesity (NWO) refers to a condition in which the body mass index falls within the normal range, but the percent of body fat is excessive. Although there are reports of a high prevalence of cardiovascular and metabolic diseases in NWO, analyses regarding physical fitness have been lacking. Therefore, the purpose of this study was to analyze the age-related prevalence of NWO and to examine physical fitness across generations. Our study utilized a dataset comprising 119,835 participants for analysis. The prevalence of NWO across ages was examined using cross-tabulation analysis. For body composition and physical fitness, medians and group differences were assessed by generation through Kruskal-Wallis and Bonferroni post hoc tests. Additionally, univariate logistic regression was adopted to analyze the odds ratio. The prevalence of NWO in Korean women was 18.3%. The fat-free mass of the NWO group was consistently lower than that of both the group with normal body mass indexes (Normal) and obese body mass indexes (Obesity) across all generations. Additionally, the waist circumference and blood pressure were greater in the now group than in the Normal group. When considering maximal strength, muscle endurance, power, balance, and coordination, the NWO group exhibited lower levels compared to the Normal group. The NWO group showed lower muscle mass than both the Normal and Obesity groups, resulting in significantly reduced physical fitness compared to that of the Normal group, similar to the Obesity group. This condition may increase not only the risk of posing a potentially more serious health concern than obesity but also the risk of falls in elderly people. Therefore, based on this study, it is crucial to not only define obesity using BMI criteria but also to diagnose NWO. Public health policies and preventive measures must be implemented accordingly.

Exploring causal effects of gut microbiota and metabolites on body fat percentage using two-sample Mendelian randomization.

The relationship between the gut microbiota, metabolites and body fat percentage (BFP) remains unexplored. We systematically assessed the causal relationships between gut microbiota, metabolites and BFP using Mendelian randomization analysis. Single nucleotide polymorphisms associated with gut microbiota, blood metabolites and BFP were screened via a genome-wide association study enrolling individuals of European descent. Summary data from genome-wide association studies were extracted from the MiBioGen consortium and the UK Biobank. The inverse variance-weighted model was the primary method used to estimate these causal relationships. Sensitivity analyses were performed using pleiotropy, Mendelian randomization-Egger regression, heterogeneity tests and leave-one-out tests. In the aspect of phyla, classes, orders, families and genera, we observed that o_Bifidobacteriales [β = -0.05; 95% confidence interval (CI): -0.07 to -0.03; false discovery rate (FDR) = 2.76 × 10-3], f_Bifidobacteriaceae (β = -0.05; 95% CI: -0.07 to -0.07; FDR = 2.76 × 10-3), p_Actinobacteria (β = -0.06; 95% CI: -0.09 to -0.03; FDR = 6.36 × 10-3), c_Actinobacteria (β = -0.05; 95% CI: -0.08 to -0.02; FDR = 1.06 × 10-2), g_Bifidobacterium (β = -0.05; 95% CI: -0.07 to -0.02; FDR = 1.85 × 10-2), g_Ruminiclostridium9 (β = -0.03; 95% CI: -0.06 to -0.01; FDR = 4.81 × 10-2) were negatively associated with BFP. G_Olsenella (β = 0.02; 95% CI: 0.01-0.03; FDR = 2.16 × 10-2) was positively associated with BFP. Among the gut microbiotas, f_Bifidobacteriales, o_Bifidobacteriales, c_Actinobacteria and p_Actinobacteria were shown to be significantly associated with BFP in the validated dataset. In the aspect of metabolites, we only observed that valine (β = 0.77; 95% CI: 0.5-1.04; FDR = 8.65 × 10-6) was associated with BFP. Multiple gut microbiota and metabolites were strongly associated with an increased BFP. Further studies are required to elucidate the mechanisms underlying this putative causality. In addition, BFP, a key indicator of obesity, suggests that obesity-related interventions can be developed from gut microbiota and metabolite perspectives.