Body Shape Index and Cardiovascular Risk in Individuals With Obesity

Background: The study aimed to investigate the association of Body Roundness Index (BRI), A Body Shape Index (ABSI), and Conicity Index with nutritional status and cardiovascular risk factors in South African rural young adults. Methods: The study included a total of 624 young adults aged 21–30 years from the Ellisras rural area. Anthropometric indices, blood pressure (BP), and biochemical measurements were measured. Results: BRI was significantly correlated with insulin (0.252 males, females 0.255), homeostatic model assessment (HOMA)-β (0.250 males, females 0.245), and TG (0.310 males, females 0.216). Conicity Index was significantly associated with pulse rate (PR) (β 0.099, 95% confidence interval (CI) 0.017, 0.143, p < 0.013; β 0.081, 95% CI 0.000 0.130, p < 0.048), insulin (β 0.149, 95% CI 0.286 0.908, p < 0.001; β 0.110, 95% CI 0.123 0.757, p < 0.007). Conicity Index is associated with insulin resistance (IR) (odds ratio (OR) 7.761, 95% CI 5.783 96.442, p < 0.001; OR 4.646, 95% CI 2.792 74.331, p < 0.007), underweight (OR 0.023, 95% CI 0.251 0.433, p < 0.001; OR 0.031, 95% CI 0.411 0.612, p < 0.001), and obesity (OR 1.058, 95% CI 271.5 4.119, p < 0.001; OR 1.271, 95% CI 0.672 1.099, p < 0.001). Conclusion: Conicity Index was positively associated with insulin resistance, hypertension and dyslipidaemia. Further investigation of these indices and their association with nutritional status and cardiovascular diseases (CVDs) could assist in efforts to prevent CVD in the rural South African population.

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Risk of breast, endometrial, colorectal, and renal cancers in postmenopausal women in association with a body shape index and other anthropometric measures

Cancer Causes & Control ◽

10.1007/s10552-014-0501-4 ◽

2014 ◽

Vol 26 (2) ◽

pp. 219-229 ◽

Cited By ~ 25

Author(s):

Geoffrey C. Kabat ◽

Xiaonan Xue ◽

Victor Kamensky ◽

Dorothy Lane ◽

Jennifer W. Bea ◽

...

Keyword(s):

Postmenopausal Women ◽

Body Shape ◽

Shape Index ◽

Anthropometric Measures ◽

A Body Shape Index

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Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-018-0323-8 ◽

2018 ◽

Vol 10 (1) ◽

Cited By ~ 12

Author(s):

Fernando Gomez-Peralta ◽

Cristina Abreu ◽

Margarita Cruz-Bravo ◽

Elvira Alcarria ◽

Gala Gutierrez-Buey ◽

...

Keyword(s):

Type 2 Diabetes ◽

Body Composition ◽

Body Shape ◽

Shape Index ◽

Obese Patients ◽

A Body Shape Index

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Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111607 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11607

Author(s):

Julián F. Calderón-García ◽

Raúl Roncero-Martín ◽

Sergio Rico-Martín ◽

Jorge M. De Nicolás-Jiménez ◽

Fidel López-Espuela ◽

...

Keyword(s):

Body Shape ◽

Meta Analysis ◽

Characteristic Curve ◽

Shape Index ◽

Diagnostic Odds Ratio ◽

The Body ◽

Adult Women ◽

Summary Receiver Operating Characteristic ◽

The Difference ◽

A Body Shape Index

Introduction: The body roundness index (BRI) and a body shape index (ABSI) are novel anthropometric indices established to determine both the amount visceral adipose tissue and body fat. Objective: to investigate whether BRI and ABSI are better predictors of hypertension than body mass index (BMI), waist circumference (WC) or waist-to-height ratio (WHtR). Methods: A systematic search was conducted in the Scopus, PubMed and Web of Science databases up until 31 December 2020. Results: The estimated pooled area under curve [AUC (95% CI)] for BRI [0.67 (0.65–0.70)] for the prediction of hypertension were superior to that of ABSI (0.58 (0.56–0.60)), similar to that of BMI [0.67 (0.64–0.69)], and lower than those WC [0.68 (0.66–0.70)] and WHtR [0.68 (0.66–0.71)]. Nevertheless, the difference of BRI compared to WC and WHtR in the context of predicting hypertension was non-significant. ABSI was significantly lower (p < 0.05) than BRI, BMI, WC and WHtR. Similar findings were observed with the summary receiver operating characteristic curve (AUC-SROC). There were no significant differences between subgroups according to type of population or diagnostic criteria of hypertension. The diagnostic odds ratio (dORs) proved that increased BRI and ABSI were related with an elevated hypertension risk. Conclusions: BRI and ABSI have discriminatory power for hypertension in adult women and men from different populations. Although, WHtR and WC provided the best performance when assessing hypertension, no significant differences were found for BRI. Finally, BRI was significantly better predictor of hypertension than ABSI.

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