Neck circumference as a predictor of metabolic syndrome, insulin resistance and low-grade systemic inflammation in children: the ACFIES study

BMC Pediatrics

Research Article

Paul Anthony Camacho¹  Daniel Dylan Cohen²  Patricio Lopez-Jaramillo²  Diego Gomez-Arbelaez³  Cristina Lopez-Lopez⁴  Sandra Saavedra-Cortes⁵ 

[1] Dirección de Investigaciones, Fundación Oftalmológica de Santander - FOSCAL, Floridablanca, Colombia;Dirección de Investigaciones, Fundación Oftalmológica de Santander - FOSCAL, Floridablanca, Colombia;Instituto MASIRA, Facultad de la Ciencias de la Salud, Universidad de Santander - UDES, Bucaramanga, Colombia;Dirección de Investigaciones, Fundación Oftalmológica de Santander - FOSCAL, Floridablanca, Colombia;Instituto MASIRA, Facultad de la Ciencias de la Salud, Universidad de Santander - UDES, Bucaramanga, Colombia;Departamento de Endocrinología, Escuela de Medicina, Universidad de Santiago de Compostela, Santiago de Compostela, España;Escuela de Medicina, Universidad Autónoma de Bucaramanga – UNAB, Bucaramanga, Colombia;Instituto MASIRA, Facultad de la Ciencias de la Salud, Universidad de Santander - UDES, Bucaramanga, Colombia;

关键词: Childhood obesity;    Anthropometric measurements;    Neck circumference;    Metabolic syndrome;    Low-grade systemic inflammation;    Insulin resistance;    Cardiometabolic risk;    Latin America;    Colombia;   

DOI  :  10.1186/s12887-016-0566-1

 received in 2015-07-03, accepted in 2016-02-29,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundThe current study aims to evaluate the association between neck circumference (NC) and several cardio-metabolic risk factors, to compare it with well-established anthropometric indices, and to determine the cut-off point value of NC for predicting children at increased risk of metabolic syndrome, insulin resistance and low-grade systemic inflammation.MethodsA total of 669 school children, aged 8–14, were recruited. Demographic, clinical, anthropometric and biochemical data from all patients were collected. Correlations between cardio-metabolic risk factors and NC and other anthropometric variables were evaluated using the Spearman’s correlation coefficient. Multiple linear regression analysis was applied to further examine these associations. We then determined by receiver operating characteristic (ROC) analyses the optimal cut-off for NC for identifying children with elevated cardio-metabolic risk.ResultsNC was positively associated with fasting plasma glucose and triglycerides (p = 0.001 for all), and systolic and diastolic blood pressure, C-reactive protein, insulin and HOMA-IR (p < 0.001 for all), and negatively with HDL-C (p = 0.001). Whereas, other anthropometric indices were associated with fewer risk factors.ConclusionsNC could be used as clinically relevant and easy to implement indicator of cardio-metabolic risk in children.

【 授权许可】

CC BY   
© Gomez-Arbelaez et al. 2016