Mortality prediction of a body shape index versus traditional anthropometric measures in an Iranian population: Tehran Lipid and Glucose Study

Association of trajectory of body shape index with all-cause and cause-specific mortality: 18 years follow-up

Objectives

The current study aimed to examine how the trajectory of a body shape index (ABSI) could predict mortality in a prospective cohort of 5587 participants.

Methods

A Growth Mixture Model (GMM) was employed to identify ABSI and body shape trajectories spanning from 2000 to 2018. Multivariate Cox regression models with hazard ratio (HR) and 95% confidence intervals (CIs) were built to assess the association of death from all-cause and cardiovascular disease (CVD) with ABSI and body shape trajectories.

Results

We found that individuals with a low ABSI-marked increase (Class II) and high ABSI-marked increase trajectory (Class III) had a higher risk of all-cause (adjusted HR for Class II, 1.37; 95%CI, 1.04-1.79; adjusted HR for Class III, 1.42; 95%CI, 1.05-1.91) and non- CVD mortality (adjusted HR for Class II, 1.38; 95%CI, 1.00-1.91; adjusted HR for Class III, 1.42; 95%CI, 1.00-2.05) as well as an increased risk of CVD (adjusted HR for Class II, 1.40; 95%CI, 1.14-1.71; adjusted HR for Class III, 1.42; 95%CI, 1.13-1.78) and coronary heart disease (CHD) (adjusted HR for Class II, 1.52; 95%CI, 1.18-1.96; adjusted HR for Class III, 1.47; 95%CI, 1.11-1.95. The trajectories of body shape phenotypes did not show any significant associations with mortality, CVD, or CHD events.

Conclusions

ABSI trajectories might be associated with subsequent risk of mortality and CVD events.

Sex- and age-specific differences in associations of a body shape index with all-cause and cardiovascular death risks among US adults with diabetes

BACKGROUND AND AIMS

Evidence regarding the effect of body shape index (ABSI) on mortality is scarce among individuals with diabetes mellitus (DM). Herein, we explored the relationships between ABSI and all-cause and cardiovascular death risks among US individuals with DM.

METHODS AND RESULTS

A total of 4657 US adults with DM were enrolled from the National Health and Nutrition Examination Survey (NHANES 2003-2014) who had baseline waist circumference, height, and weight data. ABSI was calculated as [Formula: see text] and the survival information of patients was available from recruitment until 2015 utilizing the national death index. We employed Cox proportional hazards models to estimate the association of ABSI with survival. A total of 817 adults with DM died after a median follow-up period of 5.6 years, with an annual all-cause death rate per 1000 person-years of 30.0 [95% CI, 28.0-32.1]. Continuous ABSI z score was positively and significantly associated with all-cause mortality with adjustment for potential confounders (HR = 1.16, 95% CI: 1.06-1.28). ABSI tended to show a higher all-cause and CVD (cardiovascular disease) mortality among men (HR = 1.35, 95% CI: 1.19-1.53 and HR = 1.45, 95% CI: 1.12-1.87, respectively) and patients younger than 60 years (HR = 1.45, 95% CI: 1.16-1.80 and HR = 1.66, 95% CI: 1.09-2.53, respectively). Statistically significant interactions were found between the ABSI and both sex and age for total mortality.

CONCLUSIONS

Among US adults with DM from NHANES, ABSI exhibited a linear and positive relationship with total and CVD mortality risk, especially in men and younger patients.

A Body Shape Index and Aortic Disease-Related Mortality in Japanese General Population

AIMS

Aortic diseases (ADs), including aortic dissection, aortic aneurysm, and aortic rupture, are fatal, with extremely high mortality rates. A body shape index (ABSI), an anthropometric measure calculated as waist circumference adjusted by height and weight, improves the predictive capacity for mortality. However, whether ABSI is a risk factor for AD-related mortality in the general population remains unclear.

METHODS

We used a nationwide database of 630,842 individuals (aged 40-75 years) who participated in the annual "Specific Health Check and Guidance in Japan" between 2008 and 2010.

RESULTS

During the follow-up period of 3.8 years, 159 AD-related deaths occurred, including 105 aortic dissections and 54 aortic aneurysm ruptures. The subjects were divided into three groups based on ABSI tertiles. Kaplan-Meier analysis demonstrated that the 3^rd tertile (with the highest ABSI) had the greatest risk among the three groups. Multivariate Cox proportional hazard regression analysis demonstrated that ABSI was significantly associated with AD-related death after adjusting for confounding risk factors. Neither waist circumference nor body mass index consistently predicted AD-related death in the multivariate model. The prediction capacity was significantly improved by the addition of ABSI to the confounding risk factors.

CONCLUSIONS

We demonstrated for the first time that ABSI, a surrogate marker for abdominal visceral fat tissue, was associated with AD-related deaths in the general population, suggesting the importance of central adiposity in the development of AD.

Association between hypertension-mediated organ damage and obesity defined by novel anthropometric indices in community-dwelling elderly individuals

OBJECTIVE

Body mass index (BMI), the most common anthropometric index, has recently been challenged by two emerging parameters: a body shape index (ABSI) and body roundness index (BRI). The purpose of this study was to explore the associations of hypertension-mediated organ damage (HMOD) with conventional and novel anthropometric parameters.

METHODS

This is a multistage community-based observational and cross-sectional study. A total of 3077 elderly Chinese individuals (mean age 70.92 ± 5.84, 1329 (43%) men) from the communities in the northern area of Shanghai were enrolled from June 2014 to August 2019. Waist-to-hip ratio (WHR), ABSI and BRI were calculated with validated formulas. HMOD, including left ventricular hypertrophy (LVH), arterial stiffness (AS), lower limb atherosclerosis (LLA), and microalbuminuria (MAU), was assessed using standardized methods. Correlation and multivariable linear and logistic regression analyses were performed to detect the relations between HMOD and anthropometric indices.

RESULTS

In the total population, compared to those with ABSI, BRI and WHR in the lowest quartiles, participants with values in the highest quartiles exhibited a significantly higher risk of LVH, AS and MAU independent of BMI and other confounders (all P for trend <0.01). In females but not in males, compared to BMI, BRI and WHR had a greater area under the curve (AUC) for detecting HMOD. In the further stepwise logistic regression with all anthropometric indices put into models simultaneously, only BRI remained in the LVH (odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.30-1.55) and LLA (OR: 1.48, 95% CI: 1.23-1.77) models, and WHR remained in the AS (OR: 1.30, 95% CI: 1.18-1.43) and MAU (OR: 1.48, 95% CI: 1.28-1.72, all P < 0.01) models.

CONCLUSION

Compared to BMI, the novel anthropometric parameter BRI, together with the conventional parameter WHR, exhibits a closer relationship with HMOD in the elderly population, especially in females.

Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies

OBJECTIVE

To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included.

DATA SYNTHESIS

A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves.

RESULTS

Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I²=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I²=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I²=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I²=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I²=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I²=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I²=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I²=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index.

CONCLUSIONS

Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.

A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort

Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m2) or obese (BMI ≥ 30 kg/m2) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.

A body shape index in a small sample of Saudi adults with type 2 diabetes

Context:

Overweight and obesity are assessed clinically using the body mass index (BMI), but the index is criticized as a crude measure of relative fat-muscle composition. The recently introduced a body shape index (ABSI) is an independent and more accurate predictor of mortality than other anthropometric measures.

Aims:

Describe ABSI in relation to other clinical and cardiometabolic risk factors in Saudi patients with type 2 diabetes.

Settings and Design:

Cross-sectional, armed forces diabetes clinic.

Materials and Methods:

Demographic and clinical data were obtained from randomly sampled patients with type 2 diabetes.

Statistical Analysis:

The t test, analysis of variance, or Chi-square test as appropriate, and contingency table analysis.

Results:

The 120 patients with type 2 diabetes (60 males, 60 females) had a mean (SD) age of 52.5 (9.3) years and BMI of 31.8 (5.5). Comparisons of ABSI and ABSI mortality risk categories with clinical and cardiovascular risk factors were statistically nonsignificant. Patients with below-average BMI (z < 0) (n = 33) were more likely to have above-average ABSI (z > 0) (27.5%) than a below-average ABSI z score (17.5%).

Conclusion:

These data provide a baseline assessment useful in further studies using larger datasets to confirm whether the ABSI can prove to be clinically useful and serve as a better predictor of mortality risk in the Saudi population. These local data should be of interest to the primary care practitioner who may be thinking of applying these new measures in their primary care practice.

Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese

Background The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases (CVDs) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity-related anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio) in Chinese population. Methods and Results A total of 44 048 participants in the study were derived from the baseline data of the PURE-China (Prospective Urban and Rural Epidemiology) study in China. All participants' anthropometric parameters, CVDs, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity-related anthropometric indices to the cardiometabolic risk factors and CVDs. A positive association was observed between each anthropometric index and cardiometabolic risk factors and CVDs in all models (P<0.001). Compared with other anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, and A Body Shape Index), waist-to-height ratio had significantly higher areas under the curve (AUCs) for predicting dyslipidemia (AUCs: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia (AUCs: 0.595, sensitivity: 60%, specificity: 45%), and CVDs (AUCs: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure (AUCs: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or CVDs than that of any other traditional obesity-related indices. Conclusions Waist-to-height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and CVDs, while waist circumference had a better prediction for abnormal blood pressure.

Factors Influencing Bone Mineral Density Among Adults of Delhi: A Gender Differential

Objective: The aim of the study was to find out the risk factor of bone mineral density (BMD).

Methodology: Cross-sectional data were collected on 233 participants (males and females) with age ranging from 20 to 70 years. The subjects were divided into two groups consisting of young adults of 20–45 years and older adults of >45 years. The BMD was calculated by a heel ultrasonic test. Each subject was measured for various adiposity markers like body fat, body mass index, body shape index (BSI), body adiposity index and lifestyle parameters.

Results: BSI was found to be higher among older adults in both males and females. The risk of osteoporosis and osteopenia was also seen to be significantly higher among older adults of >45 years ( p < 0.001). Various factors like age ( p < 0.001), milk intake status ( p < 0.05), education ( p < 0.01), occupation ( p < 0.05) and body adiposity index ( p < 0.05) were found to be risks for osteoporosis and osteopenia.

Conclusion: In our study, BMD was found to be highly correlated with age, and the risk of osteopenia and osteoporosis increased as age increased. Illiteracy, milk consumption status, homemakers and higher body adiposity were also identified as risk factors for developing osteopenia and osteoporosis.

Comparison of the associations between non-traditional and traditional indices of adiposity and cardiovascular mortality: an observational study of one million person-years of follow-up

BACKGROUND/OBJECTIVE

The most widely used adiposity index, body mass index (BMI), is not optimal to evaluate cardiovascular (CV) risk associated with overweight and obesity. We aimed to explore the association between traditional and non-traditional adiposity indices and CV mortality, and compare their discriminative ability for CV death.

METHODS

We studied participants (age 19-79 years, BMI ≥18.5 kg/m²) from the population-based Norwegian Nord-Trøndelag Health Study 2 (HUNT 2). Traditional indices explored were BMI, waist circumference (WC) and waist- to-hip ratio, whereas non-traditional were estimated total body fat (eTBF), which is a sex-specific fat%-index, index of central obesity (WC/height) and a body shape index (ABSI) [WC/(BMI^2/3 × √height)]. Associations between the traditional and non-traditional indices and CV death, obtained from the Norwegian Cause of Death Registry, were explored by Cox proportional hazard regression, and the indices' discriminative ability by Harrell's C statistics.

RESULTS

Baseline assessments were done from 1995 to 1997 and the population (n = 61,016, 52% women) was observed for 17.7 ± 4.2 years (until 2016), yielding 1,080,473.6 person-years of follow-up. Thirteen thousand one hundred and ninety five (21.6%) subjects died, of whom 4908 (37.2%) died from CV causes. Across genders, eTBF had the strongest association to CV death (unadjusted hazard ratios [HRs] 4th vs. 1st quartile in women and men 13.38 [95% confidence interval (CI): 11.05-16.22] and 9.32 [8.03-10.81], respectively), together with index of central obesity in women and ABSI in men. The other indices showed weaker associations, in particular BMI in men: 1.73 [1.56-1.93]. Age adjustment attenuated the associations, but the pattern remained. In concordance with this, C-statistics was C = 0.725 [0.713-0.737] in women and 0.711 [0.701-0.721] in men for eTBF, and C = 0.622 [0.610-0.634] in women and 0.551 [0.541-0.562] in men for BMI.

CONCLUSION

eTBF, a sex-specific total body fat index, was more strongly associated with CV death than other adiposity indices and may be a suitable clinical tool for assessment of obesity-associated CV risk.

Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis

Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures - body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13% and type 2 diabetes by 35% and an increase in cardiovascular disease risk by 21% and all-cause mortality risk by 55%. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance.

Untangling Waist Circumference and Hip Circumference from Body Mass Index with a Body Shape Index, Hip Index, and Anthropometric Risk Indicator

Body mass index (BMI) corrects body weight for height and is well established for diagnosing overweight and obesity and correlating with many medical conditions. Waist circumference (WC) is used to diagnose abdominal obesity. However, the correlation of BMI and WC is high, around 0.9, making the use of BMI and WC in concert challenging. A body shape index (ABSI) is a new measure of risk associated with abdominal size. Derived in 2012, ABSI is analogous to BMI in that it normalizes WC for weight and height (and thus to BMI). A similar derivation led to hip index (HI), normalizing hip circumference for BMI. Hazard ratios (HRs) for univariate risk associations of the independent measures height, BMI, ABSI, and HI can be multiplied to give a combined HR, the anthropometric risk indicator (ARI). Compared to any one anthropometric factor, including BMI and WC, ARI more accurately estimates personalized mortality hazard. Published work on ABSI, HI, and ARI supports their association with many aspects of health, including cardiometabolic conditions related to the metabolic syndrome.

Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio

Frequently reported poor dietary habits of young adults increase their risk of metabolic syndrome (MetS). Excess adiposity is the most established predictor of MetS, and numerous anthropometric measures have been proposed as proxy indicators of adiposity. We aimed to assess prevalence of MetS in young adult population and to make comparison between weight- and shape-oriented measures of adiposity to identify the best index in association with measured body fat and as a risk predictor for MetS. Healthy males and females aged 18-25 years from the Northwest of England were recruited using convenience sampling (n=550). As part of the assessment of the overall health of young adults, the biochemical variables and adiposity measures BMI, waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), new BMI, Body Adiposity Index (BAI), Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), and A Body Shape Index (ABSI) were assessed. Linear regression analysis was used to investigate the association between the proxy indices of adiposity and measured percentage body fat. The odds ratio with 95% confidence interval was used to investigate the relationship between cardiometabolic (CM) risk factors and proxy measures of adiposity. The discriminatory power of these measures for diagnosis of MetS was investigated using area under the receiver operating characteristic curve. Body weight-related indicators of adiposity, particularly CUN-BAE, had stronger association with measured body fat compared with body shape-related indices. In relation with MetS, body shape-related indices, particularly elevated WC and WHtR, had stronger associations with CM risk compared with body weight-related measures. Amongst all indices, the best predictor for CM risk was WHtR, while ABSI had the weakest correlation with body fat, MetS, and CM risk. Indices directly associated with WC and specifically WHtR had greater diagnostic power in detection of CM risk in young adults.

The association between A Body Shape Index and mortality: Results from an Australian cohort

It is well recognised that obesity increases the risk of premature death. A Body Shape Index (ABSI) is a formula that uses waist circumference (WC), body mass index (BMI) and height to predict risk of premature mortality, where a high score (Quartile 4) indicates that a person's WC is more than expected given their height and weight. Our study examines the association between ABSI quartiles and all-cause-, cardiovascular- and cancer-related mortality, and primary cause of death. Self-reported demographic and biomedically measured health-related risk factor and weight data was from the baseline stage of the North West Adelaide Health Study (1999-2003, n = 4056), a longitudinal cohort of Australian adults. Death-related information was obtained from the National Death Index. Primary cause of death across ABSI quartiles was examined. The association between mortality and ABSI (quartile and continuous scores) was investigated using a Cox proportional hazards survival model and adjusting for socioeconomic, and self-reported and biomedical risk factors. The proportion of all three types of mortality steadily increased from ABSI Quartile 1 through to Quartile 4. After adjusting for demographic and health-related risk factors, the risk of all-cause mortality was higher for people in ABSI Quartile 4 (HR 2.64, 95% CI 01.56-4.47), and ABSI Quartile 3 (HR 1.95, 95% CI 1.15-3.33), with a moderate association for the continuous ABSI score (HR 1.32, 95% CI 1.18-1.48). ABSI is therefore positively associated with mortality in Australian adults. Different combined measures of obesity such as the ABSI are useful in examining mortality risk.

Body shape index: Sex-specific differences in predictive power for all-cause mortality in the Japanese population

Background

While body mass index (BMI) is the most widely used anthropometric measure, its association with all-cause mortality is generally J-shaped or U-shaped. A body shape index (ABSI) is a recently formulated anthropometric measure that shows linear relationship to all-cause mortality, especially in Caucasian cohorts. We aimed to address the relationship between ABSI and all-cause mortality in Asians and to assess the influence of sex difference and of chronic kidney disease (CKD) on this relationship.

Methods

This was a longitudinal cohort study assessing the association of ABSI, BMI, waist circumference (WC), and waist-to-height ratio (WHtR) with all-cause mortality in a Japanese nationwide Specific Health Checkup database. The study enrolled 160,625 participants followed-up between 2008 and 2012. We calculated the all-cause mortality risk associated with a 1-standard deviation increase (+1SD) in ABSI, BMI, WC, or WHtR in cohorts stratified by sex and the presence of CKD.

Results

During the 4-year follow up, 1.3% of participants died. In men, ABSI (+1SD) significantly increased the risk for all-cause mortality after adjusting for other known risk factors including CKD; hazard ratio (HR) and 95% confidence intervals (CI) of non-CKD cohort, 1.30 (1.18 to 1.43), p<0.01; HR and 95%CI of CKD cohort, 1.16 (1.01 to 1.34), p = 0.04. In women, ABSI (+1SD) did not show significant association with all-cause mortality, especially in the CKD cohort; HR and 95% CI of non-CKD cohort, 1.07 (0.99 to 1.17), p = 0.09; HR and 95%CI of CKD cohort, 0.98 (0.84 to 1.14), p = 0.78. Conversely, BMI (+1SD) was associated with significantly lower risk in men, although minimal association was found in women. WC and WHtR showed little association with all-cause mortality. On stratification per ABSI quartiles, mortality risk increased linearly and significantly with ABSI in men, but not in women with CKD. Both BMI and WC showed significant but U-shaped association with mortality in the non-CKD cohort and in men with CKD. WHtR also showed significant U-shaped association with mortality in men.

Conclusions

In the Japanese population, ABSI showed significant and linear correlation with mortality risk in men but not in women, especially in the presence of CKD.