Nível insuficiente de atividade física e elevado tempo de tela em adolescentes: impacto de fatores associados

An Explanatory Model of the Relationships between Physical Activity, Social Support and Screen Time among Adolescents

Effective physical activity studies are necessary to understand how factors involved in physical activity mediate behaviour. Therefore, more reliable explanatory models can be generated in order to design effective actions to promote physical activity. The study had two aims: (1) to develop an explanatory model to identify and establish the relationships between physical activity, social support and screen time among adolescents; and (2) to contrast the explanatory structural model by means of a multi-group analysis according to sex. The study design was cross-sectional with descriptive and correlational analysis. The research was carried out with a representative sample of adolescents from the province of Soria (mean age 14.06 ± 1.27 years). The instruments used were: Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. The results show that social support had a negative relationship with screen time (r = −0.178; p ≤ 0.001); males had a positive relationship between physical activity and screen time (r = 0.118; p ≤ 0.05); and peer support had more influence on social support than parental support. In conclusion, the proposed model was effective in triangulating the relationships between physical activity, social support and screen time in a novel way, while allowing us to discriminate these results according to participants’ sex.

Associação entre sedentarismo e nível socioeconômico em adolescentes

Introdução: O sedentarismo em adolescentes contribui para a ocorrência de diferentes doenças, sendo relevante investigar sobre fatores associados. Objetivo: Analisar a associação entre sedentarismo e nível socioeconômico em adolescentes de escolas públicas. Materiais e métodos: Estudo transversal, realizado com 347 adolescentes matriculados em escolas públicas do ensino médio do município de Divinópolis, Minas Gerais. A coleta de dados ocorreu no ano de 2017. O sedentarismo foi avaliado utilizando-se o International Physical Activity Questionnaire e o nível socioeconômico pelo critério da Associação Brasileira de Empresas de Pesquisa. Foi realizada estatística descritiva e analítica através de modelo de regressão logística multivariada. Resultados: Participaram da investigação 347 adolescentes. A média de idade do grupo foi de 16,4 ± 1,0 anos. Os indivíduos caracterizados como sedentários constituíram 38,9% da amostra, sendo que, destes, 66,7% eram do sexo feminino. Possuir maior nível socioeconômico diminui a probabilidade de ser sedentário (OR=0,235; p=0,021), assim como ser estudante das escolas públicas da região sudoeste aumenta essa chance (OR=2,680; p=0,04). Discussão: Os motivos pelos quais as condições socioeconômicas podem influenciar o sedentarismo são variados. A ausência de espaços públicos pode contribuir para a elevação do sedentarismo em adolescentes com menor nível socioeconômico. Conclusão: Esta investigação sinaliza a importância de investimentos públicos em políticas de estímulo à prática de atividade física para os adolescentes, em especial para os do sexo feminino e de menor nível socioeconômico.

[Pain and cervical disability among public workers who use data visualization display terminals]

Work-related neck/shoulder disorders are considered an important health issue. This study is aimed at establishing the pain and cervical disability patterns of workers with visual display terminals, as well as at determining the factors that mostly affect the onset of a new episode of back pain. A descriptive, correlational study was carried out on a sample of 88 workers who use visual display terminals, of the Ministry of Health (Xunta de Galicia). The workers completed the following questionnaires: "Neck Disability Index Scale," "Visual Analog Scale," "12-item Short Form Health Survey," and an individual postural analysis was conducted. For the comparative analysis, the Student's t-test, and the Mann-Whitney U test were performed. A binary logistic regression analysis was used to extract a predictive model of a cervical pain episode, and 58% reported cervical pain. There were no differences between men and women. The variables that best predict the onset of a new episode of pain are the level of disability, and the quality of physical life. Study results indicate that a worker who uses visual display terminals, with high levels of cervical disability and low values of physical quality of life, is more likely to suffer an episode of back pain.