ABSTRACT
INTRODUCTION: In the last decade, an increasing number of studies investigated markers of Sedentary Behavior (SB) and Physical Activity (PA) in school-age children since they lead to nutritional status changes in this groupOBJECTIVE: To analyze associations between maternal factors and SB and PA of schoolchildrenMETHODS: This is a cross-sectional study involving 410 mothers of children enrolled between the first and the fifth year in municipal schools of Santa Cruz, RN, Brazil. By applying questionnaires, socioeconomic variables of the family, maternal data, and habits related to SB and PA on weekdays and weekends were investigated. Pearson's chi-square test and Fisher's exact test were used to test associationsRESULTS: It was observed that income below one minimum wage and less maternal education were associated with greater active transportation among children (69.3%, p = 0.012 and 68.4%, p = 0.022, respectively). Children from low-income families (65.4%, p = 0.016) and who had six and seven siblings (8.2%, p = 0.023 and 7.6%, p = 0.037, respectively) presented lower SB at the weekend. Low level of maternal education was associated with reduced PA during the week (70.8%, p = 0.024CONCLUSION: Socioeconomic (i.e., family income and number of siblings) and maternal factors (i.e., level of education) are important indicators for time spent on sedentary behavior and physical activity of schoolchildren
INTRODUÇÃO: Na última década, um número crescente de estudos tem se preocupado em investigar marcadores de Comportamento Sedentário (CS) e Atividade Física (AF) em crianças na idade escolar, por serem reconhecidos como causadores de alterações do estado nutricional nesta faixa etáriaOBJETIVO: Analisar os fatores associados maternos sobre o CS e AF de escolaresMÉTODO: Trata-se de uma pesquisa com delineamento transversal, envolvendo 410 mães de crianças matriculadas entre o primeiro e quinto ano nas escolas municipais de Santa Cruz, RN, Brasil. Por meio da aplicação de questionários, foram investigadas variáveis socioeconômicas da família, dados maternos e hábitos relacionados ao CS e AF dos escolares, nos dias da semana e no final de semana. Para testar associações foi utilizado o teste Qui-quadrado de Pearson e Teste Exato de FisherRESULTADOS: Foi observado que uma renda inferior a um salário mínimo e menor escolaridade materna foram associados com maior deslocamento ativo das crianças (69,3%, p = 0,012 e 68,4% p = 0,022, respectivamente). As crianças de famílias com baixa renda (65,4%, p = 0,016) e que tinham seis e sete irmãos (8,2%, p = 0,023 e 7,6%, p = 0,037, respectivamente) apresentam menor CS no final de semana. Um menor grau de escolaridade materna foi associado com uma menor prática de AF durante a semana (70,8%, p = 0,024CONCLUSÃO: Conclui-se que os fatores socioeconômicos (i.e., renda familiar e número de irmãos) e maternos (i.e., nível de escolaridade) são importantes indicadores para o tempo dispendido em comportamento sedentário e atividade física de escolares
Subject(s)
Humans , Male , Female , Child , Social Class , Child , Educational Status , Sedentary Behavior , Life StyleABSTRACT
ABSTRACT Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.