Indirect measure of visceral adiposity ‘A Body Shape Index’ (ABSI) is associated with arterial stiffness in patients with type 2 diabetes

Bouchi, Ryotaro; Asakawa, M; Ohara, Norihiko; Nakano, Yujiro; Takeuchi, Takato; Murakami, Masanori; Sasahara, Yuriko; Numasawa, Mitsuyuki; Minami, Isao; Izumiyama, Hajime; Hashimoto, Kazuhito; Yoshimoto, Takanobu; Ogawa, Yoshihiro

doi:10.1136/bmjdrc-2015-000188

Cited by 77 publications

(71 citation statements)

References 31 publications

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“…All but two studies calculated ABSI using objectively measured height, weight and WC . Regarding disease status of the study sample, 34 studies assessed the general population, and four studies focused on patients with specific chronic disease – one examined patients with type 2 diabetes , one examined women with polycystic ovary syndrome , one examined patients with haemodialysis and one examined patients with chronic kidney disease . Follow‐up duration varied substantially across the 24 cohort studies, with a mean of 10.6 years, a median of 10.1 years and a range from 2.5 to 24 years.…”

Section: Resultsmentioning

confidence: 99%

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

Zhang

2018

Obesity Reviews

102

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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.

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Section: Resultsmentioning

confidence: 99%

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

Zhang

2018

Obesity Reviews

102

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“…Body compositional studies have deduced ABSI to be positively associated with fat mass and negatively associated with fat-free mass [53]. Also, in patients with type 2 diabetes mellitus, ABSI is positively associated with visceral fat [54]. It is suggested, contrary to waist circumference ABSI is a much useful index to evaluate the relative contribution of central obesity to clinical outcomes [52].…”

Section: Discussionmentioning

confidence: 99%

Anthropometric Markers as a Paradigm for Obesity Risk Assessment

Mangla¹,

Dhamija²,

Gupta³

et al. 2020

JBM

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Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development of further computations derived from previously established measures to gauge obesity. Objective: Main aim of our study was to evaluate the association of anthropometric determinants of obesity with body compositional adiposity variables, and thus identifying the best marker among them emerging out as the probable predictor for compositional adiposity. Participants and Setting: 550 female participants within the age of 18 to 23 years were enrolled under this study attending graduation course at University of Delhi. Ethical clearance was received from the institutional head. Informed written consent was taken from every participant. Design: All the body measurements were recorded by trained staff using standard techniques. Derived measurements were calculated further. Analysis: Data, hence, gathered was undertaken for descriptive and inferential statistical analysis with SPSS 20.0. Variables Measured and Results: WHR overestimated the count for those at risk compared to waist circumference and WHtR. Skeletal muscle fat associated negatively with all anthropometric adiposity indicators. BMI, BAI, WHtR and waist circumference related closely with all body composition cum obesity markers compared to WHR, CI and ABSI. BAI overrated the risk for fat determining body composition parameters the most followed by BMI. ABSI revealed an underestimated risk for augmenting fat content in body, compared to other markers. Conclusion and Implications: It is difficult to establish with compliance as to which of the measures used in the study could better predict the perils of obesity but it could be ascertained that some of the newly verified anthropometric adiposity indicators could be administered for determining clinical situations after further validation.

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“…Among subjects with BMIs ranging between 20 and 50 kg/m 2 , a 5‐cm increase in WC was shown to be related to a higher mortality in both men and women . However, WC, as BMI, is flawed by a J curve in mortality prediction . Therefore, a need has arisen for novel body composition indices.…”

Section: Discussionmentioning

confidence: 99%

The relationship between nocturnal blood pressure drop and body composition indices among hypertensive patients

Candan¹,

Candan²,

Karabağ³

2020

J of Clinical Hypertension

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Among hypertensive subjects, the lack of physiological blood pressure drop as part of diurnal blood pressure variations is termed as non‐dipper blood pressure. Herein, we investigated the relationship between hypertension character and body composition indices. This study included a total of 104 patients (54 M, mean age: 47.6 ± 12.1 years). Patients' heights, weights, and waist and hip circumferences were measured, and body composition indices were calculated. All patients' office blood pressure measurements and 24‐hour ambulatory blood pressure readings were recorded. A blood pressure drop of at least 10% compared with daytime blood pressure readings is called dipper blood pressure, while a drop of less than 10% is termed as non‐dipper blood pressure. Based on ambulatory blood pressure readings, the patients were grouped into Group 1 (dipper pattern; 51 pts, 34 M, mean age 45.6 ± 12.3) and Group 2 (non‐dipper pattern, 53 pts; 20 M, mean age 49.6 ± 11.6). The proportion of females and smokers were significantly lower in Group 1 than Group 2. BRI, BAI, waist‐to‐height ratio, and waist circumference were significantly higher in Group 2 than Group 1. There were significant positive correlations between body roundness index (BRI), body adiposity index (BAI), waist‐to‐weight ratio, and WC and nocturnal mean systolic and diastolic blood pressure readings. Percent systolic nocturnal drop was significantly correlated with waist‐to‐height ratio, BAI, and BRI. Similarly, percent diastolic nocturnal drop and waist‐to‐height ratio, BAI, and BRI were correlated. In conclusion, the relatively new body composition indices, namely BRI and BAI, are more closely related to nocturnal blood pressure readings among non‐dipper subjects.

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Indirect measure of visceral adiposity ‘A Body Shape Index’ (ABSI) is associated with arterial stiffness in patients with type 2 diabetes

Cited by 77 publications

References 31 publications

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

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

Anthropometric Markers as a Paradigm for Obesity Risk Assessment

The relationship between nocturnal blood pressure drop and body composition indices among hypertensive patients

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