Utility of obesity indices in screening Chinese postmenopausal women for metabolic syndrome

Aging and changes in adiposity indices: the impact of menopause

PURPOSE

Aging is associated with significant changes in fat distribution and menopause may alter this process. This study aimed to investigate the longitudinal effect of menopause on changes in adiposity indices (AI).

METHODS

A total number of 3876 non-menopausal women, aged > 20 years, who participated in the Tehran Lipid and Glucose study, were selected for the present study. They were followed from 1998 to 2018 at a 3-year interval and their adiposity indices were measured. Throughout the study, participants were categorized into two groups according to their menopausal status as group 1): women who reached menopause and group 2): women who did not reach menopause. The generalized estimation equation (GEE) models were used to compare the trend of changes in AIs between these two groups.

RESULTS

At the end of the study, a total number of 1479 (38.2%) participants reached menopause. The odds of general obesity decreased by 5% (OR: 0.95, 95% CI: 0.90-0.99), and the odds of central obesity increased by 6% in group1 compared to group2 (OR: 1.06, 95% CI: 1.01-1.12).

CONCLUSIONS

Menopause alters the impact of aging on central fat distribution. Increasing awareness of the related risk in menopausal women and their healthcare professional may prevent adverse related outcomes.

Comparison of anthropometric indices for the screening of nonalcoholic fatty liver disease in pre- and postmenopausal women

OBJECTIVES

Although it has been well-established that menopause causes a shift in body fat, there has been no study conducted yet to examine the best obesity parameters to predict the risk of nonalcoholic fatty liver disease (NAFLD) in this population. Thus, the aim of this study was to clarify the superiority among various obesity indices such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) for predicting NAFLD in pre- and postmenopausal women.

METHODS

This cross-sectional analysis included 620 healthy women (318 premenopausal and 302 postmenopausal women) between 20 and 80 years of age recruited from the Health Promotion Center of Korea University Guro Hospital. NAFLD was diagnosed by abdominal ultrasonography.

RESULTS

In premenopausal women, there were no statistical differences in the area under the curve values among the three obesity indices, whereas, in postmenopausal women, the area under the curve value of WHR was significantly larger than those of either BMI (difference between area: 0.102, 95% confidence interval: 0.031, 0.173) or WC (difference between area: 0.064, 95% confidence interval: 0.018-0.109). Furthermore, in postmenopausal women, the combination of WHR with BMI or WC significantly increased predictive power of NAFLD when compared to using BMI or WC alone. The optimal cutoff values for BMI, WC, and WHR for detecting NAFLD were 23.9 kg/m, 69 cm, and 0.81 in premenopausal women and 22.9 kg/m, 74 cm, and 0.86 in postmenopausal women, respectively.

CONCLUSIONS

In premenopausal women, BMI, WC, and WHR hold similar potential in predicting the risk of NAFLD, whereas, in postmenopausal women, WHR is the most useful discriminative indicator for NAFLD. Women's optimal cutoff values for NAFLD were different according to menopausal status.

Identification of Hepatic Steatosis in Premenopausal and Postmenopausal Women Based on Phenotypes Combining Triglyceride Levels and Anthropometric Indices: A Cross-Sectional Study

BACKGROUND

The hypertriglyceridemic waist phenotype (HWP) has exhibited a strong association with metabolic syndrome, a condition closely linked with nonalcoholic fatty liver disease (NAFLD). However, no study has investigated whether the HWP can accurately predict NAFLD among premenopausal and postmenopausal women or whether alternative anthropometric indexes could replace waist circumference (WC) in the HWP. We examined the power of phenotypes combining triglyceride (TG) levels with anthropometric indexes such as body mass index (BMI), WC, waist-to-hip ratio, waist-to-height ratio, and percent body fat, to detect NAFLD among premenopausal and postmenopausal women.

METHODS

We conducted a cross-sectional study of 1125 premenopausal women and 654 postmenopausal women who had received an annual health checkup. For all the participating women, we measured both anthropometric and biochemical indexes, such as serum lipid levels. NAFLD diagnoses were made on the basis of abdominal ultrasonography findings. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the indicators' ability to detect NAFLD.

RESULTS

Among the indicators of hepatic steatosis, the combined phenotypes of TG level (≥1.50 mmol/L) and BMI (≥24.0 kg/m²) exhibited the largest AUC (0.841, 95%confidence interval [CI] 0.812-0.871, P< 0.001) for premenopausal women, whereas WC alone exhibited the highest predictive potential (0.765, 95% CI 0.729-0.801, P< 0.001) for postmenopausal women.

CONCLUSION

Out of all the phenotypes combining a single anthropometric index with TG level or WC and TG level, the combination of TG level and BMI was the best indicator of NAFLD for premenopausal women. For screening NAFLD in postmenopausal women, WC alone was superior to all other indicators.

Screening for Metabolic Syndrome Using an Integrated Continuous Index Consisting of Waist Circumference and Triglyceride: A Preliminary Cross-sectional Study

BACKGROUND

It has been suggested that hypertriglyceridemic waist (HW) phenotype is strongly associated with metabolic syndrome (MetS); however, there are very limited studies integrating triglyceride (TG) and waist circumference (WC) into a continuous variable to investigate the predictive power of this phenotype. Inspired from the triglyceride glucose index (TyG), we developed an integrated continuous index termed waist-triglyceride index (WTI) which was calculated as Ln [TG (mg/dl) WC (cm)/2].

OBJECTIVE

We aimed to examine the potential of WTI in screening for MetS by comparing this quantitative index with the qualitative HW phenotype and other frequently used indices.

METHODS

A cross-sectional study was conducted in a total of 3460 non-diabetic adults who participated in an annual health checkup. MetS was defined by the update National Cholesterol Education Program/Adult Treatment Panel ш criteria for Asian Americans. Receiving operating characteristic (ROC) curve and areas under the curve (AUC) were employed to evaluate the performance of the involved indices in screening for MetS. Statistical differences among the AUC values of the indices were compared.

RESULTS

In both genders, the AUC value of WTI, TyG or HW phenotype was markedly larger than that of each anthropometric index alone. In men, there were no statistical differences in the AUC values among WTI, TyG and HW phenotype, whereas in women, the AUC value of WTI was significantly larger than that of HW phenotype [difference between area (DBA): 0.042, 95% CI: 0.0224-0.0617, P < 0.0001] and was nominally and significantly smaller than that of TyG (DBA: 0.00646, 95% CI: 0.000903-0.012, P = 0.0227).

CONCLUSION

Our results suggest that there are discriminatory performance between the WTI and HW phenotype in the detection of MetS in women rather than in men. Appropriate markers for screening MetS in population study should be considered according to the genders.

Why primary obesity is a disease?

Obesity must be considered a real pathology. In the world wide, obesity represent one of the major public health issue associated with increased morbidity and mortality. Overweight or obesity, in fact, significantly increases the risk of contracting diseases, such as: arterial hypertension, dyslipidemia, type 2 diabetes mellitus, coronary heart disease, cerebral vasculopathy, gallbladder lithiasis, arthropathy, ovarian polycytosis, sleep apnea syndrome, and some neoplasms. Despite numerous informative campaigns, unfortunately, the fight against obesity does not seem to work: in the last years, the prevalence continued to increase. The progressive and rapid increase in the incidence of obesity, which has characterized most of the economically advanced countries in the last decade, has been the main stimulus for the research of the mechanisms underlying this pathology and the related disorders. The aims of this review is to provide a revision of the literature in order to define obesity as diseases, secondly to highlight the limits and the inaccuracy of common tools used for the diagnosis of obesity, and as a third thing to strengthen the concept of the complexity of obesity as a disease among political health care providers. Obesity may be viewed as a multifactorial pathology and chronic low-grade inflammatory disease. In fact, people affected by obesity have greater risk of developing comorbility and morbility, respect to healthy. Hence, the absolute therapeutic benefit is directly proportional to the basic risk. So, internationally interest on early diagnosis of obesity is growing to avoid under- and overdiagnosis consequences. Therefore, the consequences are an aggravation of the disease and an increase in obesity related pathology like diabetes, cardiovascular disease, and cancer. The most widely used parameter for diagnosis, body mass index (BMI) is not suitable for assessing the body fat. In fact, several studies demonstrate that BMI alone cannot define obesity, which consists not so much in weight gain as in excess fat mass. The use of suitable tools for the assessment of fat mass percentage combined with clinical and genetic analysis allowed to identify different phenotypes of obesity, which explain the various paradoxes of obesity. It is essential to adopt all possible strategies to be able to combat obesity, ameliorate the suffering of patients, and reduce the social and treatment costs of obesity.

Optimal waist circumference cutoff values for predicting metabolic syndrome among older adults in Ecuador

AIMS

To determine optimal waist circumference cutoff values for predicting metabolic syndrome (MetS) among adults aged 60 years and older in Ecuador.

MATERIAL AND METHODS

The National Survey of Health, Wellbeing, and Aging survey was used to describe the prevalence of MetS according to standard definitions. Receiver operating characteristics (ROC) curve analyses and the Younden index J (YI) were performed to examine optimal waist circumference cutoff values for predicting MetS. Moreover, the prevalence of MetS according to country-specific waist circumference cutoff values was compared with those using standard definitions.

RESULTS

Among 2306 participants with a mean age of 70.6 years, the optimal waist circumference cutoff value for predicting MetS was 90.7 cm in women with a sensitivity of 66.1%, specificity of 65.6% and YI of 0.31. In men, a waist circumference of 91.2 cm with a sensitivity of 73.2%, specificity of 62.8%, and YI of 0.36 was the optimal cutoff point for predicting MetS. In general, applying country-specific cutoff values decreased the prevalence of MetS among older Ecuadorian women. In men, except with the ATP III definition, similar MetS prevalence rates were seen whether the country-specific or standard waist circumference cutoff values were applied.

CONCLUSIONS

The optimal waist circumference cutoff values for predicting metabolic syndrome among older Ecuadorians adults were 90.7 cm for women and 91.2 cm for men. Moreover, current standard definitions of abdominal obesity may overestimate the prevalence of MetS, particularly in Latin American women.

Effects of elastic band exercise on lean mass and physical capacity in older women with sarcopenic obesity: A randomized controlled trial

Sarcopenia is associated with loss of muscle mass as well as an increased risk of physical disability in elderly people. This study was aimed to investigate the effect of elastic band resistance training (ERT) on muscle mass and physical function in older women with sarcopenic obesity. A randomized controlled trial with an intention-to-treat analysis was conducted. A total of 56 women (mean ± SD age 67.3 ± 5.1 years) were randomly assigned to the experimental group receiving 12 weeks of ERT and to the control group receiving no exercise intervention. Lean mass (measured using a dual-energy X-ray absorptiometer), physical capacity (assessed using the global physical capacity score), and a 36-item short form questionnaire were conducted at the baseline examination (T₀), as well as the 3-month (T₁) and 9-month followups (T₂). At T₁ and T₂, the between-group difference was measured in total skeletal mass relative to T₀, with mean differences of 0.70 kg (95% CI 0.12-1.28; P < 0.05) and 0.72 kg (95% CI 0.21-1.23; P < 0.01), respectively. Similar results were found in muscle quality, physical capacity, and physical function outcomes. The ERT exerted a significant beneficial effect on muscle mass, muscle quality, and physical function in older women with sarcopenic obesity.

A relação pescoço-coxa (RPCx) pode servir como índice antropométrico para diagnosticar a síndrome metabólica?

Resumo Objetivo: Investigar a Relação Pescoço-Coxa (RPCx) como índice antropométrico para diagnosticar a Síndrome Metabólica em estudantes universitários brasileiros. Métodos: Estudo transversal com 691 adultos (> 18 anos) de ambos os sexos. Foram investigados os seguintes parâmetros antropométricos: circumferência abdominal, circumferência de pescoço, circumferência de coxa, índice de massa corporal e RPCx. Além disso, foram coletados dados laboratoriais, tais como: triglicérides, glicemia e colesterol HDL. Resultados: Foram encontrados valores de circumferência abdominal (83,59 ± 10,68 cm), de pescoço (37,29 ± 2,36 cm), coxa (52,37 ± 5,71 cm) e relação de pescoço-coxa (0,72 ± 0,07 cm) superiores entre os homens (p <0,001). Ao analisar os componentes da síndrome, a RPCx mostrou uma correlação linear positiva estatisticamente significante com todos. Conclusão: Nesta pesquisa foi demonstrado que a RPCx não serve como critério diagnóstico da SM, mas indica alterações nos componentes constituintes da síndrome.

Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference

OBJECTIVE

Waist-to-height ratio (WHtR) has been reported to be more strongly associated with cardiometabolic risk factors among non-obese individuals than BMI and waist circumference (WC). A body shape index (ABSI) and body roundness index (BRI) have been proposed recently to assess obesity-related disorders or mortalities. Our aim was to compare the ability of ABSI and BRI with that of WHtR to identify cardiometabolic risk factors in Chinese adults with normal BMI and WC.

DESIGN

Receiver-operating characteristic curves and areas under the curve (AUC) were employed to evaluate the ability of the indices (WHtR, BRI, ABSI) to identify metabolic risk factors and to determine the indices' optimal cut-off values. The value of each index that resulted in maximization of the Youden index (sensitivity + specificity - 1) was defined as optimal. Differences in the AUC values between the indices were also evaluated.

SETTING

Individuals attending a voluntary health check-up in Beijing, China, July-December 2015, were recruited to the study.

SUBJECTS

Non-obese adults (n 1596).

RESULTS

Among both genders, ABSI exhibited the lowest AUC value for identifying each risk factor among the three indices; the AUC value of BRI for identifying each risk factor was very close to that of WHtR, and no significant differences were observed between the AUC values of the two new indices.

CONCLUSIONS

When evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not.

Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009

The body mass index (BMI) and waist circumference (WC) are commonly used anthropometric measures for predicting cardiovascular diseases risk factors, but it is uncertain which specific measure might be the most appropriate predictor of a cluster of cardiometabolic abnormalities (CMA) in Chinese adults. A body shape index (ABSI) and body roundness index (BRI) have been recently developed as alternative anthropometric indices that may better reflect health status. The main aims of this study were to investigate the predictive capacity of ABSI and BRI in identifying various CMA compared to BMI, WC, waist-to-hip ratio (WHpR), and waist-to-height ratio (WHtR), and to determine whether there exists a best single predictor of all CMA.We used data from the 2009 wave of the China Health and Nutrition Survey, and the final analysis included 8126 adults aged 18 to 85 years with available fasting blood samples and anthropometric measurements. Receiver-operating characteristic (ROC) analyses were conducted to assess the best anthropometric indices to predict the risk of hypertension, diabetes, dyslipidemia, hyperuricemia, and metabolic syndrome (MetS). Logistic regression models were fit to evaluate the OR of each CMA according to anthropometric indices.In women, the ROC analysis showed that BRI and WHtR had the best predictive capability in identifying all of CMA (area under the curves [AUCs] ranged from 0.658 to 0.721). In men, BRI and WHtR were better predictor of hypertension, diabetes, and at least 1 CMA (AUC: 0.668, 0.708, and 0.698, respectively), whereas BMI and WC were more sensitive predictor of dyslipidemia, hyperuricemia, and MetS. Furthermore, the ABSI showed the lowest AUCs for each CMA. According to the multivariate logistic regression analysis, BRI and WHtR were superior in discriminating hyperuricemia and at least 1 CMA while BMI performed better in predicting hypertension, diabetes, and MetS in women. In men, WC and BRI were the 2 best predictor of all CMA except MetS, and the ABSI was the worst.Our results showed the novel index BRI could be used as a single suitable anthropometric measure in simultaneously identifying a cluster of CMA compared to BMI and WHtR, especially in Chinese women, whereas the ABSI showed the weakest discriminative power.

Sex- and age-specific percentiles of body composition indices for Chinese adults using dual-energy X-ray absorptiometry

Purpose

The aims of the study were to develop sex- and age-specific percentiles for lean mass index (LMI), appendicular LMI (aLMI), fat mass index (FMI), and body fat distribution indices in Chinese adults using dual-energy X-ray absorptiometry (DXA), and to compare those indices with those of other ethnicities using the US NHANES data.

Methods

Whole-body and regional lean mass and fat mass (FM) were measured using DXA in 5688 healthy males (n = 1693) and females (n = 3995) aged 20–90 years. Body fat distribution indices were expressed as % fat trunk/% fat legs, trunk/appendicular FM ratio (FMR), and android/gynoid FMR. Percentile curves of LMI, aLMI, FMI, and body fat distribution indices were obtained by the Lambda–Mu–Sigma method.

Results

The aLMI and LMI were negatively associated with age, decreasing from the fifth decade for males, but were not associated with age in females. Females had more total FM than males, whereas males had greater central adiposity (% fat trunk/% fat legs ratio, trunk/appendicular FMR, and android/gynoid FMR) than females. Moreover, FMI and body fat distribution indices consistently increased with age in both sexes, especially in women. In comparison with white, black, and Mexican populations in the USA, Chinese adults had lower total FM, but had greater central adiposity (% fat trunk/% fat legs ratio and trunk/appendicular FMR). Additionally, older white and Mexican populations showed greater decreases for aLMI and LMI than their Chinese counterparts.

Conclusions

We present the sex- and age-specific percentiles for aLMI, LMI, FMI, and body fat distribution indices by DXA in Chinese adults, which may refine the individual assessment of the nutritional status of Chinese adults.

Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women

OBJECTIVES

Body roundness index (BRI) and body adiposity index (BAI) have been recently proposed to assess obesity. The objectives of this cross-sectional study were to compare their potential for identifying metabolic syndrome (MetS) with traditional obesity indices in Chinese postmenopausal women.

METHODS

A total of 817 participants were involved in this study. Odds ratio and corresponding 95% confidence intervals (CI) between MetS and all indices were evaluated by binary logistic regression analysis. Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the abilities to identify MetS among all the indices. The differences in the AUC values between traditional indices and BAI as well as BRI were also evaluated.

RESULTS

The upper values of all indices were significantly associated with the presence of MetS after adjusting for potential confounders, except for BAI. There were no significant differences in the AUC values between BRI and the traditional indices; however, the AUC values of all the traditional indices were significantly larger than that of BAI.

CONCLUSIONS

Neither BAI nor BRI was superior to traditional obesity indices for predicting MetS. BAI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of MetS.

Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women

PURPOSE

Some studies suggest that anthropometric measures of abdominal obesity may be superior to body mass index (BMI) for the prediction of cardiometabolic risk factors; however, most studies have been cross-sectional. Our aim was to prospectively examine the association of change in BMI, waist-to-hip ratio (WHR), waist circumference (WC), and waist circumference-to-height ratio (WCHtR) with change in markers of cardiometabolic risk in a population of postmenopausal women.

METHODS

We used a subsample of participants in the Women's Health Initiative aged 50 to 79 years at entry with available fasting blood samples and anthropometric measurements obtained at multiple time points over 12.8 years of follow-up (n = 2672). The blood samples were used to measure blood glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-C), and triglycerides at baseline, and at years 1, 3, and 6. We conducted mixed-effects linear regression analyses to examine associations at baseline and longitudinal associations between change in anthropometric measures and change in cardiometabolic risk factors, adjusting for covariates.

RESULTS

In longitudinal analyses, change in BMI, WC, and WCHtR robustly predicted change in cardiometabolic risk, whereas change in WHR did not. The strongest associations were seen for change in triglycerides, glucose, and HDL-C (inverse association).

CONCLUSION

Increase in BMI, WC, and WCHtR strongly predicted increases in serum triglycerides and glucose, and reduced HDL-C. WC and WCHtR were superior to BMI in predicting serum glucose, HDL-C, and triglycerides. WCHtR was superior to WC only in predicting serum glucose. BMI, WC, and WCHtR were all superior to WHR.