Association Between Anthropometric Parameters and Glycemic Control in Type 2 Diabetics

Authors

DOI:

https://doi.org/10.24950/rspmi/original/80/1/2019

Keywords:

Body Constitution, Body Mass Index, Diabetes Mellitus, Type 2, Glycemic Index, Waist Circumference, Waist-Height Ratio

Abstract

Introduction: Body measurements are attractive tools, due to
their low cost and easy applicability. The aim of this study is
to characterize the anthropometric measures of a diabetic
population and to analyze the relationship with hemoglobin
A1c (HbA1c).
Material and Methods: A prospective, observational study included patients followed in a Diabetology consultation. Statistical analysis was performed using the SPSS program, 23.0.
Results: Four hundred and fourteen (414) patients (50% men,
mean age 68.77 years) were included. In this sample 76.5%
were under insulin therapy. Lipodystrophy was present in
21% diabetics, who were older and had higher waist circumference (WC) (p < 0.05). The mean HbA1c was 7.61% and it
was higher in women (p < 0.05). The mean body mass index
(BMI) was 30.41 kg/m2. Grade 2 obesity and morbid obesity
was higher in women (p < 0.05). The mean WC was 107.24
cm and was lower in patients with HbA1c between 7.1% and
7.5% (p < 0.05). The mean waist-to-height ratio (WHtR) was
0,67. This value was higher in women, older patients and
more obese (p < 0.05). The patients treated with insulin had
higher HbA1c, WC and WHtR values.
Discussion and Conclusion: In this study women have worse
glycemic and metabolic control. WC was associated with
poor control of HbA1c and lipodystrophy. Integrating these
parameters into the assessment and guidance of diabetics
may be a useful tool.

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References

Leon BM, Maddox TM. Diabetes and cardiovascular disease: Epidemiology, biological mechanisms, treatment recommendations and future research. World J Diabetes. 2015;6:1246-58. doi: 10.4239/wjd.v6.i13.1246.

Schmidt AM. Highlighting diabetes mellitus: the epidemic continues. Arterioscler Thromb Vasc Biol. 2018;38:e1-e8. doi: 10.1161/ATVBAHA.117.310221.

De Rosa S, Arcidiacono B, Chiefari E, Brunetti A, Indolfi C, Foti DP. Type 2 diabetes mellitus and cardiovascular disease: genetic and epigenetic links. Front Endocrinol. 2018;9:2. doi: 10.3389/fendo.2018.00002.

Zhao H, Ma J, Zhou Q, Chen W, Zhu W, Cai Z, et al. Investigating the differences of body mass index and waist circumference in the follow-up assessment of patients to cardiac rehabilitation with acute coronary syndrome. Australas Phys Eng Sci Med. 2016;39(4):1007-27. doi: 10.1007/ s13246-016-0471-9

Wilmet G, Verlinde R, Vandevoorde J, Carnol L, Devroey D. Correlation between Body Mass Index and abdominal circumference in Belgian adults: a cross-sectional study. Rom J Intern Med. 2017;55:28-35. doi: 10.1515/rjim-2016-0050.

Jia Z, Zhou Y, Liu X, Wang Y, Zhao X, LiangW, et al. Comparison of different anthropometric measures as predictors of diabetes incidence in a Chinese population. Diabetes Res Clin Pract 2011; 92: 265–71. doi: 10.1016/j.diabres.2011.01.021.

Wang S, Ma W, Yuan Z, Wang SM, Yi X, Jia H, et al. Association between obesity indices and type 2 diabetes mellitus among middle-aged and elderly people in Jinan, China: a cross-sectional study. BMJ Open. 2016;6:e012742. doi: 10.1136/bmjopen-2016-012742.

Xu Z, Qi X, Dahl AK, Xu W. Waist-to-height ratio is the best indicator for undiagnosed type 2 diabetes. Diabet Med. 2013;30:e201-7.

Meseri R, Ucku R, Unal B. Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish adults. Public Health Nutr. 2014;17:2246- 52. doi: 10.1111/dme.12168.

Yang H, Xin Z, Feng JP, Yang JK. Waist-to-height ratio is better than body mass index and waist circumference as a screening criterion for metabolic syndrome in Han Chinese adults. Medicine. 2017;96:e8192. doi: 10.1097/MD.0000000000008192.

Oliveira CM, Ulbrich AZ, Neves FS, Dias FAL, Horimoto ARVR, Krieger JE, et al. Association between anthropometric indicators of adiposity and hypertension in a Brazilian population: Baependi Heart Study. PLoS One. 2017;12:e0185225. doi: 10.1371/journal.pone.0185225.

Yang Z, Ding X, Liu J, Duan P, Si L, Wan B, et al. Associations between anthropometric parameters and lipid profiles in Chinese individuals with age ≥40 years and BMI <28kg/m2. PLoS One. 2017;12:e0178343. doi: 10.1371/journal.pone.0178343.

Anderson P, Gual A, Colom J. Alcohol and Primary Health Care: Clinical Guidelines on Identification an Brief Interventions. Barcelona: PHEPA e Department of Health of the Government of Catalonia. (2005) Na versão traduzida e adaptada para português por Ribeiro C; Maio I; Nunes C, Rosário F. Álcool e Cuidados de Saúde Primários – Recomendações Clínicas para a Detecção e Intervenções Breves. Lisboa: APMGF e SICAD. [consultado Jan 2018] Disponível em: http://www.apmgf.pt/ficheiros/ Orientacoes_final.pdf

Cho S, Kim M, Park K. Self-management levels of diet and metabolic risk factors according to disease duration in patients with type 2 diabetes. Nutr Res Pract. 2018;12:69-77. doi: 10.4162/nrp.2018.12.1.69

Hamasaki H, Hamasaki Y. Risk factors for patients with diabetes who have abnormal toe-brachial index and normal ankle-brachial index. Exp Clin Endocrinol Diabetes. 2018 (in press). doi: 10.1055/s-0043-122491.

Underner M, Thomas D. Il faut arrêter de fumer : la seule réduction du tabagisme ne diminue pas le risque de morbi-mortalité cardiovasculaire. Rev Med Interne. 2018;39:145-7. doi: 10.1016/j.revmed.2018.01.002.

Ji L, Sun Z, Li Q, Qin G, Wei Z, Liu J, et al. Lipohypertrophy in China: prevalence, risk factors, insulin consumption, and clinical impact. Diabetes Technol Ther. 2017;19:61-7. doi: 10.1089/dia.2016.0334.

Campinos C, Le Floch JP, Petit C, Penfornis A, Winiszewski P, Bordier L, et al. An effective intervention for diabetic lipohypertrophy: results of a randomized, controlled, prospective multicenter study in France. Diabetes Technol Ther. 2017;19:623-32. doi: 10.1089/dia.2017.0165

Pandya N, Losben N, Moore J. Optimizing insulin delivery for patients with diabetes. Geriatr Nurs. 2018;39:138-42. doi: 10.1016/j.gerinurse.2017.11.007.

Bianchi VE, Locatelli V. Testosterone a key factor in gender related metabolic syndrome. Obes Rev. 2018;19:557-75. doi: 10.1111/obr.12633.

Rodríguez A, García JL, Gómez MJ, Rodríguez R, Álamo A, Pérez MR. Síndrome metabólico y grasa visceral en mujeres con un factor de riesgo cardiovascular. Nutr Hosp. 2017;34:863-8.

Elffers TW, Mutsert R, Lamb HJ, Roos A, Willems van Dijk K, Rosendaal FR, et al. Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women. PLoS One. 2017;12:e0185403. doi: 10.1371/journal.pone.0185403.

Published

2019-03-15

How to Cite

1.
F. Costa A, Almeida F, Pastor A, Ferreira R, Silva N, Alfaiate T, Ferraz F, Pereira A. Association Between Anthropometric Parameters and Glycemic Control in Type 2 Diabetics. RPMI [Internet]. 2019 Mar. 15 [cited 2024 Sep. 7];26(1):21-7. Available from: https://revista.spmi.pt/index.php/rpmi/article/view/358

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