Percorrer por autor "Martins, Clarice"
A mostrar 1 - 2 de 2
Resultados por página
Opções de ordenação
- Influence of muscle fitness test performance on metabolic risk factors among adolescent girlsPublication . Mota, Jorge; Vale, Susana; Martins, Clarice; Gaya, Anelise; Moreira, Carla; Santos, Rute; Ribeiro, José CBackground: The purpose of this study was to examine the association between muscular fitness (MF), assessed by 2 components of Fitnessgram test battery, the Curl-Up and Push-Ups tests and the metabolic risk score among adolescent girls. Methods: A total of 229 girls (aged 12-15 years old) comprised the sample of this study. Anthropometric data (height, body mass, waist circumference) were collected. Body mass index (BMI) was also calculated. Muscular strength was assessed taking into account the tests that comprised the FITNESSGRAM test battery, i.e. the curl-up and the push-up. Participants were then categorized in one of 3 categories according the number of tests in which they accomplished the scores that allow them to be classified in health or above health zone. The blood pressure [BP], fasting total cholesterol [TC], low density lipoprotein-cholesterol [LDL-C], high density lipoprotein-cholesterol [HDL-C], triglycerides [TG], glucose, and a metabolic risk score (MRS) were also examined. Physical Activity Index (PAI) was obtained by questionnaire. Results: Higher compliance with health-zone criteria (good in the 2 tests), adjusted for age and maturation, were positive and significantly (p ≤ 0.05) associated with height (r = 0.19) and PAI (r = 0.21), while a significant but negative association was found for BMI (r = -0.12); WC (r = -0.19); TC (r = -0.16); TG (r = -0.16); LDL (r = -0.16) and MRS (r = -0.16). Logistic regression showed that who were assigned to MF fittest group were less likely (OR = 0.27; p = 0.003) to be classified overweight/obese and less likely (OR = 0.26; p = 0.03) to be classified as having MRS. This last association was also found for those whom only performed 1 test under the health zone (OR = 0.23; p = 0.02). Conclusions: Our data showed that low strength test performance was associated with increased risk for obesity and metabolic risk in adolescent girls even after adjustment for age and maturation.
- Movement behaviours, air pollution and health in school-aged children: a cross-sectional study to guide the co-creation of healthier environments – the MOVE-AIR projectPublication . Martins, Clarice; Rufo, João Cavaleiro; Fonseca, Hélder; Padrão, Ana; Baptista, Liliana C.; Santos, Maria Paula; Sousa, Miguel; Zacca, Rodrigo; Silva, José Pedro; Ribeiro, Ana Isabel; Cavaleiro Rufo, JoãoThe MOVE-AIR study was designed to explore the moderating role of movement behaviours on the association between air pollutants and health outcomes in Portuguese children. Secondarily, it aims to characterise the settings (both indoor and outdoor) where children are exposed to air pollutants and to co-create solutions with participants to mitigate the exposure to air pollutants in children’s daily life. This study aims to describe the MOVE-AIR study protocol in detail. Data from 52 primary school children aged 9–11 years will be assessed for indoor and outdoor air pollutants (particulate matter (PM)2.5 and PM10, and carbon dioxide), geo-tracked for distinct settings (ie, home/school, indoor/outdoor) along the day, through an optical monitoring sensor with Global Positioning System incorporated. Health-related biological outcomes, such as interleukin-6, tumour necrosis factor alpha and oxidative parameters, including total antioxidant status and total oxidant status, will be evaluated and the Oxidative Stress Index will be calculated. Children’s cardiopulmonary fitness will be assessed through the shuttle run test, and movement behaviours will be evaluated through accelerometers (wGT3X). Children’s sex, age and parental socioeconomic status will be provided by parents through a questionnaire. The influence of movement behaviours in the link between pollution and health will be analysed through moderating regression models using process for SPSS R software (V.30.0.0). A subsample of class teachers, school leaders, parents and children will be invited to a co-creation process to create solutions to mitigate their daily exposure to air pollutants. The results will contribute to further understanding the moderating role of movement behaviours in the association between air pollution and health, adding a biological layer to the mechanistic links underlying these potential relationships that have not been explored in this target population. Finally, enhancing our comprehension of the living environments and contexts where children are more exposed to air pollution can help to cooperatively create solutions to mitigate their daily exposure to those harmful pollutants.