Antropometría como predictor de diabetes gestacional: Estudio de cohorte

Background: Gestational diabetes mellitus (GDM) is a high incidence disease. Easily measured predictor factors could help to implement preventive policies and early detection tests. Aim: To measure recognizable risk factors for GDM such as skinfolds and analyze the association between these factors...

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Autores principales:	HUIDOBRO M,ANDREA, PRENTICE,ANDREW M, JC FULFORD,ANTHONY, ROZOWSKI N,JAIME
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2010
Materias:	Anthropometry Diabetes, gestational Skinfold thickness
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872010001200005
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spelling	oai:scielo:S0034-988720100012000052011-01-27Antropometría como predictor de diabetes gestacional: Estudio de cohorteHUIDOBRO M,ANDREAPRENTICE,ANDREW MJC FULFORD,ANTHONYROZOWSKI N,JAIME Anthropometry Diabetes, gestational Skinfold thickness Background: Gestational diabetes mellitus (GDM) is a high incidence disease. Easily measured predictor factors could help to implement preventive policies and early detection tests. Aim: To measure recognizable risk factors for GDM such as skinfolds and analyze the association between these factors and the development of GDM in a cohort of pregnant women. Material and Methods: Evaluation of 76 mothers that developed gestational diabetes, aged 32.2 ± 0.6 years and 324 control mothers that did not develop the disease, aged 30.1 ± 0.3 years. Weight, height, arm circumference, tricipital, bicipital, subscapular, suprailiac, knee, costal and mid-thigh skinfolds were measured in the pre-diseased stage. History of diabetes, fasting glucose and insulin levels were also evaluated. Results: Age, body mass index (BMI), fasting blood glucose, the homeostasis model assessment of insulin resistance (HOMA), bi-cipital, tricipital, costal, subscapular, suprailiac, and knee skinfolds were associated with GDM development. Age, fasting blood glucose and subscapular skinfolds were independent predictors in the logistic regression model. The odds ratio for a subs-capular skinfold over percentile 90 was 1.7 (95% confdence intervals: 1.07-3.04). Conclusions: Age and fasting blood glucose are independent risk factors for GDM. Subscapular skinfold is also an independent risk factor and could be used to detect high risk pregnant women and implement preventive policies.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.138 n.11 20102010-11-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872010001200005es10.4067/S0034-98872010001200005
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Anthropometry Diabetes, gestational Skinfold thickness
spellingShingle	Anthropometry Diabetes, gestational Skinfold thickness HUIDOBRO M,ANDREA PRENTICE,ANDREW M JC FULFORD,ANTHONY ROZOWSKI N,JAIME Antropometría como predictor de diabetes gestacional: Estudio de cohorte
description	Background: Gestational diabetes mellitus (GDM) is a high incidence disease. Easily measured predictor factors could help to implement preventive policies and early detection tests. Aim: To measure recognizable risk factors for GDM such as skinfolds and analyze the association between these factors and the development of GDM in a cohort of pregnant women. Material and Methods: Evaluation of 76 mothers that developed gestational diabetes, aged 32.2 ± 0.6 years and 324 control mothers that did not develop the disease, aged 30.1 ± 0.3 years. Weight, height, arm circumference, tricipital, bicipital, subscapular, suprailiac, knee, costal and mid-thigh skinfolds were measured in the pre-diseased stage. History of diabetes, fasting glucose and insulin levels were also evaluated. Results: Age, body mass index (BMI), fasting blood glucose, the homeostasis model assessment of insulin resistance (HOMA), bi-cipital, tricipital, costal, subscapular, suprailiac, and knee skinfolds were associated with GDM development. Age, fasting blood glucose and subscapular skinfolds were independent predictors in the logistic regression model. The odds ratio for a subs-capular skinfold over percentile 90 was 1.7 (95% confdence intervals: 1.07-3.04). Conclusions: Age and fasting blood glucose are independent risk factors for GDM. Subscapular skinfold is also an independent risk factor and could be used to detect high risk pregnant women and implement preventive policies.
author	HUIDOBRO M,ANDREA PRENTICE,ANDREW M JC FULFORD,ANTHONY ROZOWSKI N,JAIME
author_facet	HUIDOBRO M,ANDREA PRENTICE,ANDREW M JC FULFORD,ANTHONY ROZOWSKI N,JAIME
author_sort	HUIDOBRO M,ANDREA
title	Antropometría como predictor de diabetes gestacional: Estudio de cohorte
title_short	Antropometría como predictor de diabetes gestacional: Estudio de cohorte
title_full	Antropometría como predictor de diabetes gestacional: Estudio de cohorte
title_fullStr	Antropometría como predictor de diabetes gestacional: Estudio de cohorte
title_full_unstemmed	Antropometría como predictor de diabetes gestacional: Estudio de cohorte
title_sort	antropometría como predictor de diabetes gestacional: estudio de cohorte
publisher	Sociedad Médica de Santiago
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872010001200005
work_keys_str_mv	AT huidobromandrea antropometriacomopredictordediabetesgestacionalestudiodecohorte AT prenticeandrewm antropometriacomopredictordediabetesgestacionalestudiodecohorte AT jcfulfordanthony antropometriacomopredictordediabetesgestacionalestudiodecohorte AT rozowskinjaime antropometriacomopredictordediabetesgestacionalestudiodecohorte
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Antropometría como predictor de diabetes gestacional: Estudio de cohorte

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