2021, Number 2
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CorSalud 2021; 13 (2)
Pregestational obesity as a cardiometabolic risk
Suárez GJA, Gutiérrez MM
Language: Spanish
References: 21
Page: 189-194
PDF size: 256.57 Kb.
ABSTRACT
Introduction: Obesity is considered a risk factor for cardiovascular disease.
Objective: To characterize anthropometric and analytical parameters to measure the degree of obesity and its association with cardiometabolic risk factors.
Method: We conducted a cross-sectional analytical study in a group of pregnant women who started their pregnancy exhibiting a body mass index above 25 kg/m2 (overweight and obese) with an intentional sample of 184 pregnant women. Varia-bles assessed were: age, height, weight, nutritional status and weight gain; subse-quently, the prevalence of obesity was calculated and weight gain at the end of pregnancy was evaluated. Descriptive statistics were performed for the analysis of the variables using the SPSS v. 20 statistical program.
Results: There was a predominance of pregnant women evaluated as class I obese (134), representing 72.8%. All four indices related to cardiometabolic risk were highly prevalent.
Conclusions: The prevalence of abdominal obesity was high in the sample stud-ied. Anthropometric and analytical variables analyzed showed cardiometabolic risk values from early detection of pregnancy.
REFERENCES
Pacheco-Romero J. Gestación en la mujer obesa:consideraciones especiales. An Fac Med. 2017;78(2):207-14. [DOI]
Sánchez-Carrillo V, Ávila-Vergara MA, PerazaGaray F, Vadillo-Ortega F, Palacios-González B,García-Benavente D. Complicaciones perinatalesasociadas con la ganancia excesiva de peso durante el embarazo. Ginecol Obstet Méx. 2017;85(2):64-70.
Knight BA, Shields BM, Brook A, Hill A, Bhat DS,Hattersley AT, et al. Lower Circulating B12 Is Associated with Higher Obesity and Insulin Resistance during Pregnancy in a Non-DiabeticWhite British Population. PLoS One [Internet]. 2015 [citado 13 Feb 2020];10(8):e0135268. Disponible en:https://doi. org/10. 1371/journal. pone. 0135268
Marchi J, Berg M, Dencker A, Olander EK, BegleyC. Risks associated with obesity in pregnancy, forthe mother and baby: a systematic review of reviews. Obes Rev. 2015;16(8):621-38. [DOI]
Fernández JJ, Paublete MD, González MD, CarralF, Carnicer C, Vilar Á, et al. Sobrepeso y obesidadmaternos como factores de riesgo independientespara que el parto finalice en cesárea. Nutr Hosp. 2016;33(6):1324-9. [DOI]
Li X, Tan H, Huang X, Zhou S, Hu S, Wang X, et al. Similarities and differences between the risk factors for gestational hypertension and preeclampsia: A population based cohort study in southChina. Pregnancy Hypertens. 2016;6(1):66-71. [DOI]
Carneiro AK, Santana LC, Cuhna C, EickembergM, De Almeida P, Barbosa L. Anthropometricclinical indicators in the assessment of visceralobesity: an update. Nutr Clín Diet Hosp. 2016;36(2):168-79. [DOI]
Ma CM, Lu N, Wang R, Liu XL, Lu Q, Yin FZ. Threenovel obese indicators perform better in monitoring management of metabolic syndrome in type 2diabetes. Sci Rep [Internet]. 2017 [citado 18 Feb2020];7(1):9843. Disponible en:https://doi. org/10. 1038/s41598-017-10446-3
Siervo M, Lara J, Celis-Morales C, Vacca M, Oggioni C, Battezzati A, et al. Age-related changes inbasal substrate oxidation and visceral adiposityand their association with metabolic syndrome. Eur J Nutr. 2016;55(4):1755-67. [DOI]
Bryce A, Alegría E, San Martín MG. Obesidad yriego cardiovascular. An Fac Med. 2017;78(2):202-6. [DOI]
Molina de Salazar DI, Muñoz-Gómez D. Síndromemetabólico en la mujer. Rev Colomb Cardiol. 2018;25(Supl 1):21-9. [DOI]
United Nations. World Population Prospects: The2017 Revision, Key Findings and Advance Tables[Internet]. Working Paper Nº ESA/P/WP/248. NewYork: UN Department of Economic and Social Affairs, Population Division; 2017 [citado 3 Mar2020]. Disponible en:https://population. un. org/wpp/publications/files/wpp2017_keyfindings. pdf
Ignell C, Ekelund M, Anderberg E, Berntorp K. Model for individual prediction of diabetes up to5 years after gestational diabetes mellitus. Springerplus [Internet]. 2016 [citado 4 Mar 2020];5:318. Disponible en: https://dx. doi. org/10. 1186/s40064-016-1953-7
Nielsen TRH, Lausten-Thomsen U, Fonvig CE,Bøjsøe C, Pedersen L, Bratholm PS, et al. Dyslipidemia and reference values for fasting plasmalipid concentrations in Danish/North-EuropeanWhite children and adolescents. BMC Pediatr [Internet]. 2017 [citado 5 Mar 2020];17(1):116. Disponible en: https://doi. org/10. 1186/s12887-017-0868-y
Lartey A, Marquis GS, Aryeetey R, Nti H. Lipidprofile and dyslipidemia among school-age children in urban Ghana. BMC Public Health [Internet]. 2018 [citado 6 Mar 2020];18(1):320. Disponible en: https://doi. org/10. 1186/s12889-018-5196-0
Ninatanta JA, Núñez LA, García SA, Romaní F. Factores asociados a sobrepeso y obesidad enestudiantes de educación secundaria. Rev Pediatr Aten Primaria. 2017;19(75):209-21.
James M, Varghese TP, Sharma R, Chand S. Association between metabolic syndrome and diabetes mellitus according to International DiabeticFederation and National Cholesterol EducationProgram Adult Treatment Panel III criteria: aCross-sectional study. J Diabetes Metab Disord. 2020;19(1):437-43. [DOI]
von Bibra H, Saha S, Hapfelmeier A, Müller G,Schwarz PEH. Impact of the Triglyceride/HighDensity Lipoprotein Cholesterol Ratio and theHypertriglyceremic-Waist Phenotype to Predictthe Metabolic Syndrome and Insulin Resistance. Horm Metab Res. 2017;49(7):542-9. [DOI]
Abbs ES, Viñoles J, Alarcón JO, Johnson HM,Zunt JR. High prevalence of cardiovascular riskfactors in Peruvian adolescents living in a periurban shantytown: a cross-sectional study. JHealth Popul Nutr [Internet]. 2017 [citado 7 Mar 2020];36(1):19. Disponible en:https://doi. org/10. 1186/s41043-017-0093-1
Ninatanta JA, Núñez LA, García SA, Romaní F. Frecuencia de síndrome metabólico en residentes de una región andina del Perú. Rev Peru MedExp Salud Pública. 2016;33(4):640-50. [DOI]
Dhuper S, Bayoumi NS, Shah YD, Mehta S. EthnicDifferences in Lipid Profiles of Overweight,Obese, and Severely Obese Children and Adolescents 6-19 Years of Age. Child Obes. 2017;13(3):236-41. [DOI]