Abdominal obesity is associated with increased worsening renal function risk in patients with heart failure with preserved ejection fraction.

BACKGROUND: Worsening renal function (WRF) is a frequent comorbidity of heart failure with preserved ejection fraction (HFpEF). However, its relationship with abdominal obesity in terms of HFpEF remains unclear. This study aimed to evaluate the value of waist circumference (WC) and body mass index (BMI) in predicting WRF and examine the correlation between abdominal obesity and the risk of WRF in the HFpEF population. METHODS: Data were obtained from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial. Abdominal obesity was defined as WC ≥ 102 cm for men and ≥ 88 cm for women. WRF was defined as doubling of serum creatinine concentration from baseline. Restricted cubic splines and receiver operating characteristic curves were used to evaluate the value of WC and BMI in predicting WRF. Cumulative incidence curves and cox proportional-hazards models were used to compare patients with and without abdominal obesity. RESULTS: We included 2,806 patients with HFpEF in our study (abdominal obesity, n: 2,065). Although baseline creatinine concentrations did not differ, patients with abdominal obesity had higher concentrations during a median follow-up time of 40.9 months. Unlike BMI, WC exhibited a steady linear association with WRF and was a superior WRF predictor. Patients with abdominal obesity exhibited a higher risk of WRF after multivariable adjustment (hazard ratio: 1.632; 95% confidence interval: 1.015-2.621; P: 0.043). CONCLUSIONS: Abdominal obesity is associated with an increased risk of WRF in the HFpEF population. TRIAL REGISTRATION: URL: https://beta. CLINICALTRIALS: gov . Unique identifier: NCT00094302.

The association of food insecurity with non-alcoholic fatty liver disease (NAFLD) in a sample of Iranian adults: a path analysis of a cross-sectional survey.

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

Exploring the relationship between live microbe intake and obesity prevalence in adults.

Obesity has become a global health problem. In recent years, the influence of dietary microbes in the obese population has attracted the attention of scholars. Our study aimed to investigate the link between live microbe intake and obesity in adults. Participants (aged over 20 years) for this study were from the 1999-2018 National Health and Nutrition Examination Survey (NHANES). Participants were categorised into low, medium and high dietary live microbe intake groups. Linear regression was used to analyse the link between live microbe intake and body mass index (BMI) and waist circumference (WC). Logistic regression was used to analyse the link between live microbe intake and obesity and abdominal obesity prevalence. Restricted cubic spline curves (RCS) were used to check whether there was a non-linear relationship between live microbe intake and obesity. A total of 42,749 participants were included in this study and the number of obese reached 15,463. We found that live microbe intake was negatively linked to BMI and WC. In models adjusted for all confounders, the high live microbe intake group had lower obesity (OR = 0.812, 95%CI: 0.754-0.873) and abdominal obesity prevalence (OR = 0.851, 95%CI: 0.785-0.923) than the lowest intake group. Upon further quantification of live microbe intake, we found similar results. RCS analyses showed that live microbe intake was nonlinearly negatively correlated with BMI, WC, obesity, and abdominal obesity prevalence (P for non-linearity < 0.05). This study preliminarily reveals a negative link between live microbe intake and obesity in adults.

Prevalence and determinants of obesity and its association with upper gastrointestinal diseases in people aged 40-69 years in Yangzhong, southeast China.

Several international epidemiological studies have established a link between obesity and upper gastrointestinal cancer (UGC), but Chinese evidence is limited. This study aimed to determine the prevalence of obesity, especially central obesity, while investigating its association with upper gastrointestinal diseases in the high-risk population of Yangzhong, a typical high-risk area for UGC in southeastern China. We conducted a cross-sectional study from November 2017 to June 2021 involving 6736 residents aged 40-69. Multivariate logistic regression was used to assess independent factors influencing overweight/obesity and central obesity. We also analyzed the relationship between obesity and upper gastrointestinal diseases using multinomial logistic regression. The prevalence of overweight, obesity, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)-central obesity were 40.6%, 12.0%, 49.9%, 79.4%, and 63.7%, respectively. Gender, age, smoking, tea consumption, sufficient vegetable, pickled food, spicy food, eating speed, physical activity, family history of cancer, and family history of common chronic disease were associated with overweight /obesity and central obesity. Besides, education and missing teeth were only associated with central obesity. General and central obesity were positively associated with UGC, while general obesity was negatively associated with UGC precancerous diseases. There were no significant associations between obesity and UGC precancerous lesions. Subgroup analyses showed that general and central obesity was positively associated with gastric cancer but not significantly associated with esophageal cancer. Obesity is negatively and positively associated with gastric and esophageal precancerous diseases, respectively. In conclusion, general and central obesity were at high levels in the target population in this study. Most included factors influenced overweight/obesity and central obesity simultaneously. Policymakers should urgently develop individualized measures to reduce local obesity levels according to obesity characteristics. Besides, obesity increases the risk of UGC but decreases the risk of UGC precancerous diseases, especially in the stomach. The effect of obesity on the precancerous diseases of the gastric and esophagus appears to be the opposite. No significant association between obesity and upper gastrointestinal precancerous lesions was found in the study. This finding still needs to be validated in cohort studies.

Association between abdominal obesity indices and falls among older community-dwellers in Guangzhou, China: a prospective cohort study.

BACKGROUND: Central obesity was considered as a risk factor for falls among the older population. Waist circumference (WC), lipid accumulation product (LAP), visceral adiposity index (VAI), and the Chinese visceral adiposity index (CVAI) are considered as surrogate markers for abdominal fat deposition in increasing studies. Nevertheless, the longitudinal relationship between these indices and falls among the older population remains indistinct. This study aimed to explore the association between abdominal obesity indices and falls among older community-dwellers. METHODS: Our study included 3501 individuals aged ≥ 65 years from the Guangzhou Falls and Health Status Tracking Cohort at baseline in 2021 and then prospectively followed up in 2022. The outcome of interest was the occurrence of falls. The Kaplan-Meier curves and multivariable Cox regression analysis were used to explore the associations between abdominal obesity indices and falls. Moreover, the restricted cubic spline analysis (RCS) was conducted to test the non-linear relationships between abdominal obesity indices and hazards of falls incident. RESULTS: After a median follow-up period of 551 days, a total of 1022 participants experienced falls. The cumulative incidence rate of falls was observed to be higher among individuals with central obesity and those falling within the fourth quartile (Q4) of LAP, VAI, and CVAI. Participants with central obesity and those in Q4 of LAP, VAI, and CVAI were associated with higher risk of falls, with hazard ratios (HRs) of 1.422 (HR 95%CI: 1.255-1.611), 1.346 (1.176-1.541), 1.270 (1.108-1.457), 1.322 (1.154-1.514), respectively. Each 1-SD increment in WC, LAP, VAI, and CVAI was a significant increased risk of falls among participants. Subgroup analysis further revealed these results were basically stable and appeared to be significantly stronger among those females, aged 65-69 years, and with body mass index (BMI) ≥ 28 kg/m2. Additionally, RCS curves showed an overall upward trend in the risk of falls as the abdominal indices increased. CONCLUSIONS: Abdominal obesity indices, as WC, LAP, VAI, and CVAI were significantly associated with falls among older community-dwellers. Reduction of abdominal obesity indices might be suggested as the strategy of falls prevention.

Waist-based anthropometric measures and central adiposity-related comorbidities in children.

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

Metabolic syndrome predictive modelling in Bangladesh applying machine learning approach.

Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal obesity, high blood pressure, and elevated fasting blood glucose levels, that result in an increased risk of heart disease and stroke. In this research, we aim to identify the risk factors that have an impact on MetS in the Bangladeshi population. Subsequently, we intend to construct predictive machine learning (ML) models and ultimately, assess the accuracy and reliability of these models. In this particular study, we utilized the ATP III criteria as the basis for evaluating various health parameters from a dataset comprising 8185 participants in Bangladesh. After employing multiple ML algorithms, we identified that 27.8% of the population exhibited a prevalence of MetS. The prevalence of MetS was higher among females, accounting for 58.3% of the cases, compared to males with a prevalence of 41.7%. Initially, we identified the crucial variables using Chi-Square and Random Forest techniques. Subsequently, the obtained optimal variables are employed to train various models including Decision Trees, Random Forests, Support Vector Machines, Extreme Gradient Boosting, K-nearest neighbors, and Logistic Regression. Particularly we employed the ATP III criteria, which utilizes the Waist-to-Height Ratio (WHtR) as an anthropometric index for diagnosing abdominal obesity. Our analysis indicated that Age, SBP, WHtR, FBG, WC, DBP, marital status, HC, TGs, and smoking emerged as the most significant factors when using Chi-Square and Random Forest analyses. However, further investigation is necessary to evaluate its precision as a classification tool and to improve the accuracy of all classifiers for MetS prediction.

Association of waist-to-hip ratio adjusted for body mass index with cognitive impairment in middle-aged and elderly patients with type 2 diabetes mellitus: a cross-sectional study.

BACKGROUND: Numerous reports indicate that both obesity and type 2 diabetes mellitus (T2DM) are factors associated with cognitive impairment (CI). The objective was to assess the relationship between abdominal obesity as measured by waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and CI in middle-aged and elderly patients with T2DM. METHODS: A cross-sectional study was conducted, in which a total of 1154 patients with T2DM aged ≥ 40 years were included. WHRadjBMI was calculated based on anthropometric measurements and CI was assessed utilizing the Montreal Cognitive Assessment (MoCA). Participants were divided into CI group (n = 509) and normal cognition group (n = 645). Correlation analysis and binary logistic regression were used to explore the relationship between obesity-related indicators including WHRadjBMI, BMI as well as waist circumference (WC) and CI. Meanwhile, the predictive power of these indicators for CI was estimated by receiver operating characteristic (ROC) curves. RESULTS: WHRadjBMI was positively correlated with MoCA scores, independent of sex. The Area Under the Curve (AUC) for WHRadjBMI, BMI and WC were 0.639, 0.521 and 0.533 respectively, and WHRadjBMI had the highest predictive power for CI. Whether or not covariates were adjusted, one-SD increase in WHRadjBMI was significantly related to an increased risk of CI with an adjusted OR of 1.451 (95% CI: 1.261-1.671). After multivariate adjustment, the risk of CI increased with rising WHRadjBMI quartiles (Q4 vs. Q1 OR: 2.980, 95%CI: 2.032-4.371, P for trend < 0.001). CONCLUSIONS: Our study illustrated that higher WHRadjBMI is likely to be associated with an increased risk of CI among patients with T2DM. These findings support the detrimental effects of excess visceral fat accumulation on cognitive function in middle-aged and elderly T2DM patients.

Spatial analysis of the prevalence of abdominal obesity in middle-aged and older adult people in China: exploring the relationship with meteorological factors based on gender differences.

Background: In recent years, the incidence of abdominal obesity among the middle-aged and older adult population in China has significantly increased. However, the gender disparities in the spatial distribution of abdominal obesity incidence and its relationship with meteorological factors among this demographic in China remain unclear. This gap in knowledge highlights the need for further research to understand these dynamics and inform targeted public health strategies. Methods: This study utilized data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) to analyze the incidence of abdominal obesity among the middle-aged and older adult population in China. Additionally, meteorological data were collected from the National Meteorological Information Center. Using Moran's I index and Getis-Ord Gi* statistical methods, the spatial distribution characteristics of abdominal obesity incidence were examined. The influence of various meteorological factors on the incidence of abdominal obesity in middle-aged and older adult males and females was investigated using the q statistic from the Geodetector method. Furthermore, Multi-Scale Geographically Weighted Regression (MGWR) analysis was employed to explore the impact of meteorological factors on the spatial heterogeneity of abdominal obesity incidence from a gender perspective. Results: The spatial distribution of abdominal obesity among middle-aged and older adult individuals in China exhibits a decreasing trend from northwest to southeast, with notable spatial autocorrelation. Hotspots are concentrated in North and Northeast China, while cold spots are observed in Southwest China. Gender differences have minimal impact on spatial clustering characteristics. Meteorological factors, including temperature, sunlight, precipitation, wind speed, humidity, and atmospheric pressure, influence incidence rates. Notably, temperature and sunlight exert a greater impact on females, while wind speed has a reduced effect. Interactions among various meteorological factors generally demonstrate bivariate enhancement without significant gender disparities. However, gender disparities are evident in the influence of specific meteorological variables such as annual maximum, average, and minimum temperatures, as well as sunlight duration and precipitation, on the spatial heterogeneity of abdominal obesity incidence. Conclusion: Meteorological factors show a significant association with abdominal obesity prevalence in middle-aged and older adults, with temperature factors playing a prominent role. However, this relationship is influenced by gender differences and spatial heterogeneity. These findings suggest that effective public health policies should be not only gender-sensitive but also locally adapted.

Association between visceral adiposity index and incidence of diabetic kidney disease in adults with diabetes in the United States.

Visceral adiposity index (VAI) is a reliable indicator of visceral adiposity. However, no stu-dies have evaluated the association between VAI and DKD in US adults with diabetes. Theref-ore, this study aimed to explore the relationship between them and whether VAI is a good pr-edictor of DKD in US adults with diabetes. Our cross-sectional study included 2508 participan-ts with diabetes who were eligible for the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Univariate and multivariate logistic regression were used to an-alyze the association between VAI level and DKD. Three models were used to control for pot-ential confounding factors, and subgroup analysis was performed for further verification. A tot-al of 2508 diabetic patients were enrolled, of whom 945 (37.68%) were diagnosed with DKD. Overall, the VAI was 3.36 ± 0.18 in the DKD group and 2.76 ± 0.11 in the control group. VAI was positively correlated with DKD (OR = 1.050, 95% CI 1.049, 1.050) after fully adjusting for co-nfounding factors. Compared with participants in the lowest tertile of VAI, participants in the highest tertile of VAI had a significantly increased risk of DKD by 35.9% (OR = 1.359, 95% CI 1.355, 1.362). Through subgroup analysis, we found that VAI was positively correlated with the occurrence of DKD in all age subgroups, male(OR = 1.043, 95% CI 1.010, 1.080), participants wit-hout cardiovascular disease(OR = 1.038, 95% CI 1.011, 1.069), hypertension (OR = 1.054, 95% CI 1.021, 1.090), unmarried participants (OR = 1.153, 95% CI 1.036, 1.294), PIR < 1.30(OR = 1.049, 95% CI 1.010, 1.094), PIR ≧ 3 (OR = 1.085, 95% CI 1.021, 1.160), BMI ≧ 30 kg/m2 (OR = 1.050, 95% CI 1.016, 1.091), former smokers (OR = 1.060, 95% CI 1.011, 1.117), never exercised (OR = 1.033, 95% CI 1.004, 1.067), non-Hispanic white population (OR = 1.055, 95% CI 1.010, 1.106) and non-Hipanic black population (OR = 1.129, 95% CI 1.033, 1.258). Our results suggest that elevated VAI levels are closely associated with the development of DKD in diabetic patients. VAI may be a simpl-e and cost-effective index to predict the occurrence of DKD. This needs to be verified in furt-her prospective investigations.

Domestic violence, obesity and malnutrition in elderly people in a capital in southern Brazil - EpiFloripa Idoso Study. / Violência doméstica, obesidade e desnutrição em pessoas idosas de uma capital do Sul do Brasil - Estudo EpiFloripa Idoso.

The objective of this article was to verify the association between domestic violence and obesity and malnutrition in elderly people in Florianópolis, Santa Catarina, Brazil. Cross-sectional study evaluated in the EpiFloripa Elderly cohort in 2013/2014. The outcomes were body mass index (BMI) and abdominal obesity (increased WC). Violence against elderly people was measured using the HawlekSengstock Elder Abuse Screening Test (H-S/EAST) instrument, and IPV using the Conflict Tatics Scales Form R (CTS-1) instrument. Logistic regression and multinomial logistic regression models were used. It was observed that men had a greater chance of abdominal obesity when in situations of violence and in the potential abuse dimension. Women were more likely to have abdominal obesity in the dimension of violation of personal rights or abuse, when they suffered IPV and when they were perpetrators of IPV. In relation to BMI, elderly women in situations of violence were associated with a greater chance of being overweight and those who suffered IPV. On the other hand, men in vulnerable situations were more likely to be underweight. It is concluded that violence against elderly people and IPV generate an asymmetric impact on nutritional status in relation to sex.

O objetivo deste artigo foi verificar a associação entre a violência doméstica com a obesidade e a desnutrição em pessoas idosas de Florianópolis, Santa Catarina, Brasil. Estudo transversal avaliados na coorte EpiFloripa Idoso em 2013/2014. Os desfechos foram o índice de massa corporal (IMC) e a obesidade abdominal (CC aumentada). A violência contra pessoa idosa foi mensurada através do instrumento HawlekSengstock Elder Abuse Screening Test (H-S/EAST), e a VPI por meio do instrumento Conflict Tatics Scales Form R (CTS-1). Utilizou-se modelos de regressão logística e regressão logística multinomial. Observou-se que os homens apresentaram maior chance de obesidade abdominal quando em situação de violência. Já as mulheres apresentaram maior chance de obesidade abdominal em situação de abuso direto quando sofreram violência por parceiro íntimo (VPI) e quando foram perpetradoras desta violência. Em relação ao IMC, as mulheres idosas em situação de violência e que sofreram VPI foram associadas às maiores chances de sobrepeso. Em contrapartida, os homens em situação de vulnerabilidade demonstraram maior chance de baixo peso. Conclui-se que a violência contra pessoa idosa e a VPI geram impacto assimétrico sobre o estado nutricional em relação ao sexo.

Discrepancies between general and central obesity in arterial stiffness: observational studies and Mendelian randomization study.

BACKGROUND: Obesity has been linked to arterial stiffness, while no consensus was reached on the association. We aimed to clarify the association of general and central obesity with arterial stiffness by combining observational studies and Mendelian randomization (MR) study. METHODS: Two cross-sectional studies were performed in UK Biobank and Fuqing Cohort, respectively. Two-sample MR study was conducted using summary data of GWASs from GIANT consortium and UK Biobank. General obesity and central obesity were measured using body mass index (BMI) and waist circumference (WC), respectively. Arterial stiffness was measured by arterial stiffness index (ASI) in UK Biobank or branchial-ankle pulse wave velocity (baPWV) in Fuqing Cohort. RESULTS: Two observational studies found a consistent positive association of BMI and WC with arterial stiffness when adjusting for age, sex, education, smoking, alcohol drinking, physical activity, and LDL cholesterol. However, when additionally adjusting for metabolic traits (i.e., systolic blood pressure, diastolic blood pressure, blood glucose, triglycerides, high-density lipoprotein cholesterol, and WC or BMI), the association with BMI changed to be inverse. As compared to the lowest quintile group, the adjusted ORs across groups of second to fifth quintile were 0.93, 0.90, 0.83, and 0.72 in UK Biobank and 0.88, 0.65, 0.63, and 0.50 in Fuqing Cohort. In contrast, the positive relationship with WC remained stable with the adjusted ORs of 1.23, 1.46, 1.60, and 1.56 in UK Biobank and 1.35, 1.44, 1.77, and 1.64 in Fuqing Cohort. MR analyses provided supportive evidence of the negative association with BMI (OR = 0.97, 95%CI = 0.94-1.00) and the positive association with WC (OR = 1.14, 95%CI = 1.08-1.20). CONCLUSIONS: Observational and genetic analyses provide concordant results that central obesity is independently related to arterial stiffness, while the role of general obesity depends on metabolic status.

The association between visceral fat obesity and prefrailty in Chinese older adults: a cross-sectional study.

BACKGROUND: The prevalence of obesity is escalating. Previous research has concentrated on the link between frailty and obesity; however, the association between prefrailty and obesity has been less studied. Prefrailty screening and intervention may prevent or postpone frailty in older persons. OBJECTIVE: The study was to investigate into the relationship between prefrailty and several obesity indicators in Chinese community-dwelling older individuals. METHODS: This research employed the Frailty Screening Index to investigate the frailty phenotype of people living in Shanghai. Bioelectrical impedance analysis was used for evaluating body composition. RESULTS: There were 510 participants (39.0%) with high visceral adipose areas. Participants with a high visceral adipose area showed a higher risk of prefrailty (adjusted OR, 1.53; 95% CI, 1.19-1.96), according to multivariate models. When body mass index (BMI) and visceral fat area (VFA) were combined, it was discovered that having an overweight BMI with normal VFA was a protective factor for prefrailty (corrected OR, 0.62; 95% CI, 0.43-0.90), but having a normal weight but excess VFA increased the risk of prefrailty (corrected OR, 1.87; 95% CI, 1.15-3.03). CONCLUSION: Visceral fat obesity is an independent risk factor for prefrailty in Chinese older adults. Implementing targeted interventions, such as dietary modifications, increased physical activity, and other lifestyle changes, could play a crucial role in reducing the risk of prefrailty and improving overall health outcomes in this population.

Multi-dimensional comparison of abdominal obesity indices and insulin resistance indicators for assessing NAFLD.

BACKGROUND: The prevalence of non-alcoholic fatty liver disease (NAFLD) keeps increasing annually worldwide. Non-invasive assessment tools for evaluating the risk and severity of the disease are still limited. Insulin resistance (IR) and abdominal obesity (ABO) are closely related to NAFLD. METHODS: A retrospective large-scale, population-based study was conducted based on the data from the 2017-2018 cycle of the National Health and Nutrition Examination Survey (NHANES). Three ABO indices, namely lipid accumulation product (LAP), visceral obesity index (VAI), waist circumference-triglyceride index (WTI), and three IR indices, including triglyceride glucose index (TyG), homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic score for insulin resistance (METS-IR), were analyzed and compared for their relationships with NAFLD based on weighted multivariable logistic regression, spearman correlation heatmap, smooth curve fittings. The area under the curve (AUC) of receiver-operating characteristic (ROC) curve was used to evaluate the diagnostic capability of these indices for NAFLD. Differences among the AUCs were calculated and compared by Delong test. RESULTS: In total, 3095 participants were included in our study among which 1368 adults were diagnosed with NAFLD. All six indices presented positive associations with NAFLD. There was a claw-shaped curve between HOMA-IR, VAI, LAP and NAFLD while a smooth semi-bell curve was observed in TyG, METS-IR and WTI. LAP and HOMA-IR had the best diagnostic capability for NAFLD (LAP: AUC = 0.8, Youden index = 0.48; HOMA-IR: AUC = 0.798, Youden index = 0.472) while VAI (AUC = 0.728, Youden index = 0.361) showed the lowest predictive value. The correlation heat map indicated positive correlations between all six indices and liver function, hepatic steatosis and fibrosis severity. In the NAFLD group, IR indicators presented a stronger association with alanine aminotransferase (ALT) compared with ABO indices. CONCLUSIONS: All six indices can screen NAFLD withLAP and HOMA-IR being possibly optimal predictors. IR indices may be more sensitive to identify acute hepatic injury in NAFLD patients than ABO indices.

The visceral adiposity index is associated with asthma, especially current asthma: A cross-sectional study of NHANES, 2003 to 2018.

To investigate the association between the visceral adiposity index (VAI) and asthma using data from National Health and Nutrition Examination Survey 2003 to 2018 by a cross-sectional study. We explored the potential relationship between the VAI and asthma incidence via a cross-sectional study of the National Health and Nutrition Examination Survey from 2003 to 2018. Multiple logistic regression analysis, restricted cubic spline analysis and subgroup analysis were performed. Among the 80,312 participants, 1984 had been told by a doctor or other health professional, and 1142 still had asthma. With all confounders controlled, the VAI was positively associated with asthma incidence (odds ratios 1.04, 95% confidence interval: 1.01, 1.08). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for asthma risk were 1.02 (0.86, 1.21), 1.14 (0.96, 1.36), and 1.18 (1, 1.39), respectively (P for trend = .02). Subgroup analysis revealed no significant interaction effect among the subgroups (P > .05). The positive association was stronger in current asthma patients (odds ratios 1.13, 95% confidence interval: 1.03, 1.24). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios for current asthma risk were 1.15 (0.81, 1.64), 1.29 (0.91, 1.84), and 1.51 (1.01, 2.24), respectively (P for trend .04). The restricted cubic spline regression analysis did not reveal a nonlinear correlation between the VAI and asthma or current asthma. Subgroup analysis revealed a significant interaction effect between age (P for interaction = .03) and diabetes status (P for interaction = .02). Except in the age ≥60 years, Less than high school, normal body mass index subgroup, VAI, and current asthma were positively correlated. A positive relationship between the VAI and asthma incidence was observed. In particular, there was a strong positive correlation between the VAI score and current asthma. According to the subgroup analysis, more attention should be given to individuals aged 40 to 59 years who have diabetes.

Association of combined body mass index and central obesity with cardiovascular disease in middle-aged and older adults: a population-based prospective cohort study.

BACKGROUND: Cardiovascular diseases (CVDs) pose a significant threat to public health. Evidence indicates that the combination of central obesity and normal body mass index (BMI) is associated with an increased risk of cardiovascular disease and mortality. However, limited evidences exists in middle aged and elderly adults in China. METHODS: This was a prospective cohort study that utilized a nationally representative sample of 6,494 adults aged 45 years and above. These individuals participated in the China Health and Retirement Longitudinal Study spanning from 2011 to 2018. Height, weight and waist circumference (WC) were measured, and BMI was calculated by height and weight. Other variables were obtained through self-reported questionnaires. Association analysis was conducted using Cox proportional hazard regression models. RESULTS: A total of 10,186 participants were investigated, with 57,185 person-years of follow-up. During this period, 1,571 CVDs occurred, including 1,173 heart diseases and 527 strokes. After adjusting for various factors including age, gender, education, marital status, smoking status, alcohol intake, social activity, hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, kidney disease, digestive disease, ENP(emotional, nervous, or psychiatric problems), memory related disease, arthritis or rheumatism, asthma, self-rated health and depression, the results revealed that compared to those with normal WC normal body mass index (BMI), individuals with central obesity normal BMI had a 27.9% higher risk of CVD incidence (95% confidence interval [CI]:1.074-1.524), and a 33.4% higher risk of heart disease incidence (95% CI:1.095-1.625), while no significant association was found with stroke. Additionally, those with normal WC high BMI showed a 24.6% higher risk of CVD incidence (95% CI:1.046-1.483), and a 29.1% higher risk of heart disease incidence (95% CI:1.045-1.594), again with no significant association with stroke. Finally, individuals with central obesity high BMI exhibited a 49.3% higher risk of CVD incidence (95% CI:1.273-1.751), a 61% higher risk of heart disease incidence (95% CI:1.342-1.931), and a 34.2% higher risk of stroke incidence (95% CI:1.008-1.786). Age- and sex- specific analyses further revealed varying trends in these associations. CONCLUSIONS: We discovered that the combined association of body mass index(BMI) and central obesity with CVD incidence exhibited a significantly enhanced predictive value. Specifically, a high BMI with central obesity was notably linked to an increased risk of CVD incidence. Additionally, central obesity with a normal BMI or a normal WC coupled with a high BMI significantly augmented the risk of heart disease incidence, but not stroke. Notably, male and middle-aged adults demonstrated a greater propensity for heart disease incidence. Our study underscores the importance of maintaining an optimal BMI and preventing abdominal obesity in promoting cardiovascular health.

Hypertension status and its risk factors in highlanders living in Ganzi Tibetan Plateau: a cross-sectional study.

BACKGROUND: The updated status of hypertension and its risk factors are poorly evaluated in Tibetan highland areas. We initiated a large-scale cross-sectional survey to provide updated status of hypertension and its risk factors (especially salt intake) in the Ganzi Tibetan Plateau, China. METHODS: Stratified multistage random sampling was performed to obtain a representative sample of 4,036 adult residents from 4 counties in the Ganzi Tibetan area. The whole survey population was used to present the epidemiology and risk factors of hypertension. The participants with blood and urine biochemistry data were used to analyze the relationship between salt intake parameters and hypertension. RESULTS: Stratified multistage random sampling was performed to obtain a representative sample of 4,036 adult residents. The overall prevalence rate of hypertension was 33.5% (the age-adjusted prevalence rate was 28.9%). A total of 50.9% of the hypertensive patients knew their conditions; 30.1% of them received antihypertensive treatment; and 11.2% of them had their blood pressure controlled. Age, male sex, living altitude ≥ 3500 m, overweight and abdominal obesity were positively correlated with hypertension. In addition, the adjusted odds ratio (OR) for hypertension was 1.33 (95% CI: 1.01-1.74) for drinking tea with salt, and 1.51 (95% CI: 1.32-1.72) for per SD increase in the estimation of 24-hour urinary sodium excretion (e24hUSE). Furthermore, per 100mmol/day increase in e24hUSE was associated with elevation of blood pressure (+ 10.16, 95% CI: 8.45-11.87 mmHg for SBP; +3.83, 95% CI: 2.74-4.93 mmHg for DBP) in this population. CONCLUSIONS: Our survey suggests a heavy disease burden of hypertension in the Ganzi Tibetan Plateau. Age, male sex, altitude of residence ≥ 3500 m, overweight, abdominal obesity, and excessive salt intake (shown as drinking tea with adding salt and a higher level of e24hUSE) all increased the risk of hypertension in this highland area.

J-shaped relationship between Chinese visceral adiposity index and hyperuricemia: a cross-sectional study.

BACKGROUND: Recent years have seen the emergence of numerous novel indicators for visceral obesity. This study investigates the potential correlation between the Chinese visceral adiposity index (CVAI) and hyperuricemia (HUA). METHODS: This research, derived from a 2011 cross-sectional analysis in Dalian, China, employed restricted cubic spline (RCS) plots to identify inflection points. Subsequently, one-way and multifactorial logistic regression models were utilized, with HUA as the outcome variable. Additionally, subgroup analyses and interaction tests were conducted. Eventually, receiver operating characteristic (ROC) curves were calculated to assess the effectiveness of CVAI and other body composition indices in predicting HUA. RESULTS: The study included 10,061 individuals, with a HUA prevalence of 14.25%. Significant relationships with HUA were observed for CVAI. RCS analysis revealed a J-shaped relationship between CVAI and HUA. Compared to those in the low CVAI category, HUA was notably associated with individuals in the high CVAI category in multifactorial logistic regression (OR = 2.661, 95% CI: 2.323, 3.047). Subgroup analyses demonstrated stronger relationships in women, participants without hypertension, and participants without diabetes. Additional modeling via ROC curves suggested that the CVAI may offer effective predictive value for HUA. CONCLUSION: This study confirmed that an elevated CVAI elevates the risk of HUA in middle-aged and elderly populations in the Dalian community. The findings advance obesity prevention strategies that mitigate HUA risk and support healthcare initiatives for China's aging population.

The association between abdominal obesity and depressive symptoms among Chinese adults: Evidence from national and regional communities.

BACKGROUND: The association between body shape and depressive symptoms has been reported in adults. The present study aimed to investigate the association between body shape-specific abdominal obesity and depressive symptoms among multi-regional Asian adults. METHODS: The 2011-2012 China Health and Retirement Longitudinal Study and 2022-2023 Hangzhou study were used as the discovery and validation datasets, respectively. Body shape was assessed by body mass index categories. Abdominal obesity was defined as a body shape index (ABSI) ≥ 75th centile. Depression was measured using 10-item Centre for Epidemiological Studies Depression Scale and Geriatric Depression Scale short 15-item version, respectively. General linear and multinomial logistic models were used to explore the association of ABSI, abdominal obesity with depressive scores and presence, respectively. RESULTS: A total of 12,229 and 1210 participants were included in the discovery and validation datasets, respectively. A non-linear reverse L-shaped association was found between ABSI and depressive scores. Participants with abdominal obesity had higher depressive scores (ß = 0.05, 95%CI = 0.01-0.09; and ß = 0.13, 95%CI = 0.01-0.24; respectively). Stratified analyses showed that abdominal obesity was associated with higher depressive scores (ß = 0.09, 95%CI = 0.00-0.17; and ß = 0.25, 95%CI = 0.05-0.46; respectively) and presence (OR = 1.46, 95%CI = 1.02-2.10; and OR = 3.95, 95%CI = 1.58-9.84; respectively) in overweight adults. Furthermore, abdominal obesity was associated with depressive symptoms among overweight females, but not among males. LIMITATION: Causal links weren't addressed because of the observational study design. CONCLUSION: Abdominal obesity exhibited a positive association with depressive symptoms among Asian overweight adults, particularly in females. Prevention and early diagnosis of depressive symptoms should focus on overweight females.

Longitudinal associations of DXA-measured visceral adipose tissue and cardiometabolic risk in middle-to-older aged adults.

BACKGROUND AND AIMS: DXA-measured visceral adipose tissue (VATDXA) is associated with adverse cardiometabolic risk profiles in cross-sectional studies, but longitudinal associations have not been investigated. We examined the longitudinal associations of baseline and change in VATDXA with future cardiometabolic risk in Australian participants of the Busselton Healthy Ageing study. METHODS AND RESULTS: We studied 3569 participants (54.7% female, aged 46-70 years) with data on VATDXA (GE Lunar Prodigy) and cardiometabolic risk factors at baseline and 6 years follow-up. The associations were examined using logistic and linear regression models, adjusting for baseline age and lifestyle factors. Mean baseline VATDXA mass was 1653 ± 880 g and 855 ± 580 g, and mean change in VATDXA +99 ± 500 g and +58 ± 312 g in males and females, respectively. Among all participants, 182 males (11.3%) and 197 females (10.1%) developed incident metabolic syndrome (MetS). Baseline VATDXA was associated with incident MetS with an adjusted odds ratio of 2.53 (95% CI: 2.03, 3.15) in males and 2.78 (2.30, 3.36) in females per SD increment. There was a graded positive association between longitudinal change in VATDXA and MetS severity z score in both sexes adjusted for baseline VAT (P < 0.001). All the above associations remained significant after further adjustment for baseline or change in BMI, waist circumference or waist-to-hip ratio in respective models (all P < 0.001). CONCLUSIONS: Higher baseline and greater longitudinal increase in VATDXA are independently associated with raised cardiometabolic risk over time, and may serve as useful markers for identifying middle-aged individuals at increased cardiometabolic risk.