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1.
J. bras. psiquiatr ; 67(1): 18-24, Jan.-Mar. 2018. tab
Artigo em Português | LILACS | ID: biblio-893946

RESUMO

RESUMO Objetivo Identificar a prevalência de comportamentos com tendência a ortorexia nervosa (ON) e suas associações com o estado nutricional, satisfação corporal e período cursado em estudantes de nutrição. Métodos Participaram do estudo 141 estudantes (com idade média de 21,5 ± 3,5 anos). A tendência à ON foi avaliada por meio do questionário para identificação da ON (ORTO-15) e a satisfação corporal, pelo Body Shape Questionnaire. A classificação do estado nutricional foi feita pelo IMC (kg.m-2). Associações entre as variáveis foram avaliadas pelo teste do qui-quadrado (p < 0,05). Resultados Comportamentos alimentares com tendência a ON foram identificados em 87,2% dos estudantes. Os estudantes com ON apresentaram mais insatisfação corporal (χ2 = 7,48; p = 0,005) e excesso de peso (χ2 = 6,56; p = 0,010). Não foi observada associação entre a ON e o período cursado. Conclusão Os resultados demonstram que os estudantes de nutrição parecem ser uma população especialmente em risco para tendência à ON, independentemente do período cursado. A maior frequência de estudantes com ON e excesso de peso e insatisfação corporal pode sugerir que tais condições, que comumente cursam com preocupações com alimentação saudável, podem facilitar o início do desenvolvimento de comportamentos alimentares associados a ON.


ABSTRACT Objective To identify the prevalence of orthorexia nervosa (ON)'s risky behaviors and their association with nutritional status, body satisfaction and coursed period in nutrition students. Methods The study included 141 students (mean age 21.5 ± 3.5 years). The risk behavior to ON was assessed by using the questionnaire to identify ON (ORTHO-15) and body satisfaction with the Body Shape Questionnaire. The classification of nutritional status was evaluated by BMI (kg.m-2). Association between variables was evaluated by chi-square test (p < 0.05). Results Eating behaviors at risk for ON were identified in 87.2% of students. Students with ON had more body dissatisfaction (χ2 = 7.48; p = 0.005) and overweight (χ2 = 6.56; p = 0.010). No association was observed between the ON and coursed period. Conclusion The results show that Nutrition students seem to be a population at a particular risk for ON, regardless of the coursed period studied. The higher frequency of students with ON and overweight and body dissatisfaction may suggest that such conditions, which commonly occur with concerns about healthy eating, may facilitate the initiation of the development of eating behaviors associated with ON.

2.
J Crit Care ; 24(4): 628.e1-5, 2009 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-19327332

RESUMO

PURPOSE: The aim of this study was to compare the measured energy expenditure (EE) and the estimated basal EE (BEE) in critically ill patients. MATERIALS AND METHODS: Seventeen patients from an intensive care unit were randomly evaluated. Indirect calorimetry was performed to calculate patient's EE, and BEE was estimated by the Harris-Benedict formula. The metabolic state (EE/BEE x 100) was determined according to the following criteria: hypermetabolism, more than 130%; normal metabolism, between 90% and 130%; and hypometabolism, less than 90%. To determine the limits of agreement between EE and BEE, we performed a Bland-Altman analysis. RESULTS: The average EE of patients was 6339 +/- 1119 kJ/d. Two patients were hypermetabolic (11.8%), 4 were hypometabolic (23.5%), and 11 normometabolic (64.7%). Bland-Altman analysis showed a mean of -126 +/- 2135 kJ/d for EE and BEE. Only one patient was outside the limits of agreement between the 2 methods (indirect calorimetry and Harris-Benedict). CONCLUSIONS: The calculation of energy needs can be done with the equation of Harris-Benedict associated with lower values of correction factors (approximately 10%) to avoid overfeeding, with constant monitoring of anthropometric and biochemical parameters to assess the nutritional changing and adjust the infusion of energy.


Assuntos
Metabolismo Basal , Estado Terminal , Metabolismo Energético , Adulto , Idoso , Idoso de 80 Anos ou mais , Algoritmos , Calorimetria Indireta , Estudos Transversais , Interpretação Estatística de Dados , Humanos , Unidades de Terapia Intensiva , Pessoa de Meia-Idade , Respiração Artificial
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