ABSTRACT
Antecedentes: Este estudio tuvo como objetivo determinar la relación entre la calidad de la dieta y el conocimiento sobre nutrición (CN) y las prácticas de nutrición (PN) de las personas que realizan actividad física (AF) con regularidad. Métodos: Se estudiaron 200 individuos sanos que acudían al gimnasio al menos tres veces por semana. La calidad de la dieta se calculó utilizando el Índice de Alimentación Saludable-2015 (HEI-2015). Se utilizaron modelos de regresión lineal múltiple para evaluar las asociaciones entre las puntuaciones de CN y PN y las variables de la dieta. Resultados: De los participantes, el 47,0 % tenía CN deficiente y el 48,0 % tenía PN pobre. Se determinó que las puntuaciones de PN se asociaron significativamente con los granos integrales, los mariscos y las proteínas a base de hierbas y la calidad total de la dieta (p0,05). Un aumento en una unidad en la puntuación CN resultó en un aumento del 26,7 % en el consumo de refrigerios ajustado por edad, sexo, nivel educativo, índice de masa corporal (IMC), tabaquismo, consumo de alcohol y actividad física (AF)(p<0,001). La evaluación del puntaje PN se relacionó con las comidas principales (β=0,065±0,013; IC 95% 0,04-0,09; p<0,001), consumo de refrigerios (β=0,029±0,014, IC 95% 0,01-0,06; p<0,05) y la calidad total de la dieta (β=0,894±0,329; IC95% 0,24-1,54; p<0,05). Además, alrededor del 17% de la variabilidad en la puntuación PN podría explicarse por las puntuaciones CN. Conclusiones: CN elevada se asoció con un aumento en las puntuaciones de PN e indirectamente con un aumento en la calidad de la dieta. Para ver los efectos beneficiosos de la AF en la salud, las personas deben apoyarse en una dieta saludable, aumentando su CN.
Background: This study aimed to determine the relationship between diet quality and nutrition knowledge (CN) and nutrition practices (NP) of people who perform physical activity (PA) regularly. Methods: Two hundred healthy individuals who attended the gym at least three times a week were studied. The quality of the diet is calculated using the Healthy Eating Index-2015 (HEI-2015). Linear regression models were used multiplex to assess associations between NC and PN scores and dietary variables. Results: Of the participants, 47.0% had poor NK and 48.0% were found to have poor NPs.It was determined that NP scores were significantly associated with whole grains, seafood, and herbal proteins and total diet quality (p0.05). A one-unit increase in the NK score resulted in a 26.7% increase in the consumption of snack meals adjusted for age, gender, educational level, body mass index(BMI), smoking status, alcohol consumption, and physical activity(PA)(p< 0.001). Assessment of the NP score was related to the main meals (β=0.065±0.013; 95%CI 0.04-0.09; p<0.001), consumption of snack meals (β=0.029±0.014, 95%CI 0.01-0.06; p<0.05), and total diet quality(β=0.894±0.329; 95%CI 0.24-1.54; p<0.05). Moreover, about 17% of the variability in the NP score could be explained by the NK scores. Conclusions: Elevated NK was associated with an increase in the NP scores and indirectly with an increase in diet quality. In order to see the beneficial effects of PA on health, individuals should be supported by a healthy diet, by increasing their NK.
ABSTRACT
This cross-sectional study aims to determine the feeding problems and nutritional status of children diagnosed with specific learning disability (SLD), which is one of the neurodevelopmental disorders. Sociodemographic information, anthropometric measurements, and food consumption records of 76 children (38 boys and 38 girls) diagnosed with SLD were obtained by applying a questionnaire. The Behavioral Pediatrics Feeding Assessment Scale was used to determine the feeding problems of children. About 31.6% of children with SLD are overweight and obese. Feeding behavioral problems were found in 39.5% of the children with SLD. Binary logistic regression analysis showed a significantly higher frequency of feeding behavior problems in children with SLD: (1) lower body mass index (adjusted odds ratio [AOR]: 0.841, 95% confidence interval [CI]: 0.722-0.979), (2) lower tri-ponderal mass index (AOR: 0.738, 95% CI: 0.585-0.933), (3) lower upper middle arm circumference (AOR: 0.772, 95% CI: 0.649-0.918),and (4) lower triceps skinfold thickness (TSFT) (AOR: 0.890, 95% CI: 0.808-0.980). In this study, feeding behavior problems are common in children diagnosed with SLD. Therefore, identifying feeding behavior problems in children diagnosed with SLD and developing solutions specific to the problem are important for gaining healthy eating habits throughout life.
Subject(s)
Learning Disabilities , Nutritional Status , Male , Female , Child , Humans , Cross-Sectional Studies , Feeding Behavior , Obesity , Body Mass Index , Learning Disabilities/epidemiologyABSTRACT
OBJECTIVE: Iodine is a trace element that synthesizes thyroid hormones necessary for optimal human growth and development. The relationship between dietary iodine intake and spot urinary iodine excretion in pregnant women has not been previously evaluated in Trabzon city, which is an endemic area of iodine deficiency in the Black Sea region of Turkey. This study aimed to evaluate the relationship between dietary iodine intake and urine iodine excretion in pregnant women. MATERIALS AND METHODS: This study enrolled 150 pregnant women aged between 19 and 45 years who applied to Clinic of Gynecology and Obstetrics in Trabzon. Spot urine specimens were taken, and dietary iodine intake data were collected using a food frequency questionnaire (FFQ) and 24-hours dietary recall (24-h DR) method. RESULTS: The median urinary iodine concentration (UIC) in the general specimen was 100.6 µg/L. Of the pregnant women, 80.0% had insufficient and 20.0% had sufficient iodine levels, according to UIC. Although total iodine-rich food intake determined by FFQ was sufficient in 20.7% (n=31) of participants, 24-h DR iodine intake was sufficient only 10.7% (n=16). A significant association between urinary iodine excretion and iodine intake was observed in both 24-h DR and FFQ intake estimates (p<0.05). The iodine intake values obtained in both 24-h DR and FFQ and the iodized salt effect were correlated with UIC in all models (p<0.05). Even though 96.0% of pregnant women used iodized salt, its effect on UIC was 15.2%. CONCLUSION: Both methods indicate that the iodine intake of pregnant women might be insufficient in Trabzon area. Also, although iodized salt use is high in pregnant women in Trabzon, it is not enough to prevent iodine deficiency.
