Relationship Between Modified Body Adiposity Index and A Body Shape Index with Biochemical Parameters in Bariatric Surgery Candidates

Overview

Journal Obes Surg

Date 2020 Jan 4

PMID 31898041

Citations 3

Authors

Negar Zamaninour

Hastimansooreh Ansar

Abdolreza Pazouki

Ali Kabir

Affiliations

Soon will be listed here.

Abstract

Background: Body mass index, an estimate of body fat percentage, has been previously shown to be associated with metabolic disorders. However, there is little data on the associations between a body shape index (ABSI) or modified body adiposity index (MBAI), which provide valuable definitions of body fat, with serum biochemical parameter levels. Therefore, this study was conducted to find either ABSI or MBAI associations with serum biochemical parameter levels in bariatric surgery candidates.

Methods: This cross-sectional study was conducted on 776 bariatric surgery candidates (age range 18-69 years) between November 2010 and September 2017. Demographic data, anthropometric indices, biochemical parameters, and body composition analysis data were drawn from the National Obesity Surgery Database, Iran. ABSI and MBAI were calculated using related equations. A stepwise multivariate linear regression was used to evaluate whether ABSI or MBAI was associated with each serum biochemical parameter.

Results: ABSI, age, and multivitamin/mineral supplementation (MVMS) were independently associated with serum vitamin D (β = 24.374, SE 10.756, P value 0.026; β = 0.022, SE 0.007, P value 0.002; β = 0.639, SE 0.235, P value 0.008). However, a negative association was observed between MBAI and vitamin D (β = - 0.037, SE 0.016, P value 0.025) in a model adjusted for age and MVMS. Additionally, MBAI and age showed a significant positive association with serum HDL-c (β = 0.185, SE 0.085, P value 0.028; β = 0.171, SE 0.033, P value < 0.001), although there was a negative association between male sex and HDL-c (β = - 4.004, SE 0.891, P value < 0.001).

Conclusion: ABSI and MBAI may be appropriate indices in predicting serum vitamin D and HDL-c levels.

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References

Huskisson E, Maggini S, Ruf M . The role of vitamins and minerals in energy metabolism and well-being. J Int Med Res. 2007; 35(3):277-89. DOI: 10.1177/147323000703500301. View

Pazzianotto-Forti E, Sgariboldi D, Rasera Jr I, Reid W . Impact of pain in overweight to morbidly obese women: preliminary findings of a cross-sectional study. Physiotherapy. 2018; 104(4):417-423. DOI: 10.1016/j.physio.2018.05.004. View

Melissas J, Volakakis E, Hadjipavlou A . Low-back pain in morbidly obese patients and the effect of weight loss following surgery. Obes Surg. 2003; 13(3):389-93. DOI: 10.1381/096089203765887714. View

Sousa-Santos A, Afonso C, Santos A, Borges N, Moreira P, Padrao P . The association between 25(OH)D levels, frailty status and obesity indices in older adults. PLoS One. 2018; 13(8):e0198650. PMC: 6112621. DOI: 10.1371/journal.pone.0198650. View

Sepp E, Kolk H, Loivukene K, Mikelsaar M . Higher blood glucose level associated with body mass index and gut microbiota in elderly people. Microb Ecol Health Dis. 2014; 25. PMC: 4048595. DOI: 10.3402/mehd.v25.22857. View

Brown C, Higgins M, Donato K, ROHDE F, Garrison R, Obarzanek E . Body mass index and the prevalence of hypertension and dyslipidemia. Obes Res. 2001; 8(9):605-19. DOI: 10.1038/oby.2000.79. View

Ozturk P, Kurutas E, Ataseven A, Dokur N, Gumusalan Y, Gorur A . BMI and levels of zinc, copper in hair, serum and urine of Turkish male patients with androgenetic alopecia. J Trace Elem Med Biol. 2014; 28(3):266-70. DOI: 10.1016/j.jtemb.2014.03.003. View

Vgontzas A, Bixler E, Chrousos G . Obesity-related sleepiness and fatigue: the role of the stress system and cytokines. Ann N Y Acad Sci. 2006; 1083:329-44. DOI: 10.1196/annals.1367.023. View

Sikaris K . The clinical biochemistry of obesity. Clin Biochem Rev. 2008; 25(3):165-81. PMC: 1880830. View

10.

Wang F, Chen Y, Chang Y, Sun G, Sun Y . New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults. BMC Cardiovasc Disord. 2018; 18(1):14. PMC: 5789564. DOI: 10.1186/s12872-018-0754-z. View

11.

Hannemann A, Thuesen B, Friedrich N, Volzke H, Steveling A, Ittermann T . Adiposity measures and vitamin D concentrations in Northeast Germany and Denmark. Nutr Metab (Lond). 2015; 12:24. PMC: 4470034. DOI: 10.1186/s12986-015-0019-0. View

12.

Manoy P, Yuktanandana P, Tanavalee A, Anomasiri W, Ngarmukos S, Tanpowpong T . Vitamin D Supplementation Improves Quality of Life and Physical Performance in Osteoarthritis Patients. Nutrients. 2017; 9(8). PMC: 5579593. DOI: 10.3390/nu9080799. View

13.

Oliai Araghi S, van Dijk S, Ham A, Brouwer-Brolsma E, Enneman A, Sohl E . BMI and Body Fat Mass Is Inversely Associated with Vitamin D Levels in Older Individuals. J Nutr Health Aging. 2015; 19(10):980-5. DOI: 10.1007/s12603-015-0657-y. View

14.

Kavaric S, Vuksanovic M, Bozovic D, Jovanovic M, Jeremic V, Radojicic Z . Body weight and waist circumference as predictors of vitamin D deficiency in patients with type 2 diabetes and cardiovascular disease. Vojnosanit Pregl. 2013; 70(2):163-9. DOI: 10.2298/vsp110713035k. View

15.

Zhang M, Li P, Zhu Y, Chang H, Wang X, Liu W . Higher visceral fat area increases the risk of vitamin D insufficiency and deficiency in Chinese adults. Nutr Metab (Lond). 2015; 12:50. PMC: 4660664. DOI: 10.1186/s12986-015-0046-x. View

16.

Carrelli A, Bucovsky M, Horst R, Cremers S, Zhang C, Bessler M . Vitamin D Storage in Adipose Tissue of Obese and Normal Weight Women. J Bone Miner Res. 2016; 32(2):237-242. PMC: 5577589. DOI: 10.1002/jbmr.2979. View

17.

Bouchi R, Asakawa M, Ohara N, Nakano Y, Takeuchi T, Murakami M . Indirect measure of visceral adiposity 'A Body Shape Index' (ABSI) is associated with arterial stiffness in patients with type 2 diabetes. BMJ Open Diabetes Res Care. 2016; 4(1):e000188. PMC: 4800068. DOI: 10.1136/bmjdrc-2015-000188. View

18.

Rao W, Su Y, Yang G, Ma Y, Liu R, Zhang S . Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China. Int J Environ Res Public Health. 2016; 13(5). PMC: 4881141. DOI: 10.3390/ijerph13050516. View

19.

Seidell J, Han T, Feskens E, Lean M . Narrow hips and broad waist circumferences independently contribute to increased risk of non-insulin-dependent diabetes mellitus. J Intern Med. 1998; 242(5):401-6. DOI: 10.1046/j.1365-2796.1997.00235.x. View

20.

Bawadi H, Abouwatfa M, Alsaeed S, Kerkadi A, Shi Z . Body Shape Index Is a Stronger Predictor of Diabetes. Nutrients. 2019; 11(5). PMC: 6566958. DOI: 10.3390/nu11051018. View