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Medicina (Kaunas) ; 55(5)2019 May 17.
Artículo en Inglés | MEDLINE | ID: mdl-31108986

RESUMEN

Background and Objectives: Cerebral palsy (CP) is a set of permanent disorders that limit physical activity and increase the risk of developing other diseases, such as metabolic syndrome (MS). Adequate nutrition can contribute to the prevention of associated symptoms. The main objective of this study is to evaluate the nutritional status and the prevalence of cardiometabolic risk factors in adults with CP and Gross Motor Function Classification System (GMFCS) levels between IV and V. Materials and Methods: A sample of 41 adults with CP and GMFCS levels from IV to V were studied. The variables used in the study were age, sex, weight, height, mean age, and GMFCS level range. To evaluate nutritional status, body mass index and the Mini Nutritional Assessment (MNA), a nutritional screening tool, were used. To assess cardiometabolic risk, data on obesity, central obesity, blood pressure, fasting plasma glucose, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides were collected. Results: More than 80% of the population studied was malnourished or at risk of malnutrition, according to the MNA tool classification ranges, and around 35% of the studied population was within the underweight range. Regarding cardiometabolic risk factors, only one adult with CP was diagnosed with MS. Conclusions: The studied population of adults with CP and GMFCS levels between IV and V is not a population at risk of MS; however, the high prevalence of malnutrition, as well as some of the most prevalent cardiovascular risk factors, should be taken into consideration.


Asunto(s)
Parálisis Cerebral/dietoterapia , Síndrome Metabólico/complicaciones , Estado Nutricional , Adolescente , Adulto , Índice de Masa Corporal , Estudios Transversales , Femenino , Humanos , Institucionalización/estadística & datos numéricos , Masculino , Síndrome Metabólico/dietoterapia , Persona de Mediana Edad , Factores de Riesgo , Estadísticas no Paramétricas
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