Motor activity, weight status body and hours of sleep in child development

• Autor(a) principal: Manholer, Andressa Gonçalves
• Data de Publicação: 2017
• Outros Autores: Legnani, Rosimeide Francisco, Legnani, Elto
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Caderno de Educação Física e Esporte
• Texto Completo: https://e-revista.unioeste.br/index.php/cadernoedfisica/article/view/15181
• topic: Escolares; Atividade Física; Estilo de Vida Sedentário.; Schoolchildren; Physical Activity; Sedentary Lifestyle

The aim of this study was to describe and identify the possible associations between physical activity level, body weight status, sleep hours in high school students of a Federal Public School in Curitiba. A total of 139 schoolchildren, 42 female (30.2%) and 97 males (69.8%), were evaluated with a mean age of 15.4 (± 0.74). In the data collection, the electronic questionnaire Webcas was used. The application of the Webcas questionnaire was carried out in a computer room, after the ambiance with the application. The collected data was stored in a database manager system. Data analysis was performed using SPSS software version 20.0 for Windows, using descriptive statistics and the chi-square test. The mean age of schoolchildren was 15.4 years (± 0.74), body mass of 61.4 kg (±11.82), height of 1.71cm (±0.84), Index of Body Mass of 20.79 kg/m² (±3.39) and the average caloric expenditure of 2,055 kcal/day (±918.9). Of these, 74.8% were classified as having normal weight, 3.6% were obese and 16.5% were overweight, and 74.1% were classified as sedentary and 6.5% were not active and 62.6% were classified as having adequate sleep. There was no significant association between the level of physical activity and none of the variables analyzed. The proportion of schoolchildren classified as sedentary was high in terms of body weight status, most were classified as having low weight and normal weight, however, only two thirds were classified as normal sleep. The level of physical activity was not significantly associated with the analyzed variables.