2 resultados para Group status
em Scielo España
Resumo:
Objective: The purpose of this study was to evaluate the oral hygiene status in pediatric obese patients. Methods: A cross-sectional study was conducted from 2011 to 2012, which evaluated 180 Brazilian pediatric patients, 6-14 years old, girls and boys, recruited according to two Body Mass Index (BMI) categories: obese and non-obese (healthy weight). For the evaluation the oral hygiene status, the study used Oral Hygiene Index (OHI) and Gingival Bleeding Index (GBI). Results: According to the total sample, 5/60 obese (8.3%) and 57/120 non-obese (47.5%) had good OHI, while 23/60 obese (38.4%) and 3/120 non-obese (2.5%) were classified in a low level of OHI, with a significance between the groups (p < 0.001), even after sorting by age. According to the classification of GBI, 60/60 obese (100.0%) and 89/120 non-obese (74.2%) had GBI 1 (bleeding gingiva), and 0/60 obese and 31/120 non-obese (25.8%) were classified as GBI 0 (healthy gingiva), with a significance between the groups (p < 0.001), even after sorting by age. Conclusions: This study indicated that OHI and GBI were significantly higher in the obese children group.
Resumo:
Introduction: Nonagenarian population, clearly increasing, shows different characteristics from the rest of elderly people. Health-related quality of life is a way to study population health in physical, psychological and social dimensions. Objectives: To examine the relationship between nutritional status and health-related quality of life in a group of free-living nonagenarians. Differences with octogenarians were also studied. Methods: Within Villanueva Older Health Study, 20 non-institutionalised people (92.5±3.5 years; 80% women) make the nonagenarian subsample. Nutritional risk was assessed by Mininutritional Assessment questionnaire, dietary intake by a 24-hour dietary recall and health-related quality of life by EuroQoL-5D questionnaire. SPSS was used for statistical analysis. Results: 40% nonagenarians were at risk of malnutrition. Dietary assessment showed magnesium, zinc, potassium, folic acid, vitamin D and vitamin E deficiencies. Problems in mobility were more frequently reported (80%). EQ-5Dindex was associated with MNA (p<0.05). Self-care dimension was associated with calcium and niacin (p<0.05), retinol and cholesterol (p<0.01) intake. Usual activities dimension was associated with niacin (p<0.01) and cholesterol(p<0.05) intake. Pain/discomfort dimension was associated with protein (p<0.01), energy, selenium and niacin (p<0.05) intake. Anxiety/depression was associated with protein(p<0.01) and selenium (p<0.05) intake. Conclusions: Risk of malnutrition is a factor associated to health-related quality of life. Results suggest that energy and some nutrient intakes could be possibly associated to health-related quality of life but further research on this influence is required.