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- Vitamin D intake and cardiometabolic: risk factors in adolescentsPublication . Moreira, Carla; Moreira, Pedro; Abreu, Sandra; Santos, Paula Clara; Moreira-Silva, Isabel; Póvoas, Susana; Mota, Jorge; Santos, RuteA growing body of research suggests that vitamin D might play an important role in overall health. No data exist on vitamin D intake for the Azorean adolescent population. The purpose of this study was to assess vitamin D intake and investigate a possible association between vitamin D intake and cardiometabolic risk factors in Azorean adolescents. A cross-sectional school-based study was conducted on 496 adolescents (288 girls) aged 15–18 years from the Azorean Islands, Portugal. Anthropometric measurements (waist circumference and height), blood pressure (systolic), and plasma biomarkers [fasting glucose, insulin, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TGs)] were measured to assess metabolic risk. Homeostasis model assessment (HOMA), TC-to-HDL-C ratio, and waist-to-height ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score was constructed by summing the Zscores of all individual risk factors. High risk was considered when the individual had ‡ 1 standard deviation(SD) of this score. Vitamin D intake was assessed with a semiquantitative food frequency questionnaire. Participants were classified into quartiles of vitamin D intake. Logistic regression was used to determine odds ratios for high cardiometabolic risk scores after adjusting for total energy intake, pubertal stage, fat mass percentage, and cardiorespiratory fitness. Mean (SD) vitamin D intake was 5.8 (6.5) mg/day, and 9.1% of Azorean adolescents achieved the estimated average requirement of vitamin D (10 mg/day or 400 IU). Logistic regression showed that the odds ratio for a high cardiometabolic risk score was 3.35 [95% confidence interval (CI) 1.28–8.75] for adolescents in the lowest vitamin D intake quartile in comparison with those in the highest vitamin D intake quartile, even after adjustment for confounders. A lower level of vitamin D intake was associated with worse metabolic profile among Azorean adolescents.
- Milk intake is inversely related to body mass index and body fat in girlsPublication . Abreu, Sandra; Santos, R.; Moreira, C.; Santos, Paula Clara; Vale, Susana; Soares-Miranda, L.; Mota, J.; Moreira, P.Dairy foods comprise a range of products with varying nutritional content. The intake of dairy products (DPs) has been shown to have beneficial effects on body weight and body fat. This study aimed to examine the independent association between DP intake, body mass index (BMI), and percentage body fat (%BF) in adolescents. A cross-sectional, school-based study was conducted with 1,001 adolescents (418 boys), ages 15–18 years, from the Azorean Archipelago, Portugal. Anthropometric measurements were recorded (weight and height), and %BF was assessed using bioelectric impedance analysis. Adolescent food intake was measured using a self-administered, semiquantitative food frequency questionnaire. Data were analyzed separately for girls and boys, and separate multiple linear regression analysis was used to estimate the association between total DP, milk, yogurt, and cheese intake, BMI, and %BF, adjusting for potential confounders. For boys and girls, respectively, total DP consumption was 2.6 ± 1.9 and 2.9 ± 2.5 servings/day (P = 0.004), while milk consumption was 1.7 ± 1.4 and 2.0 ± 1.7 servings/day (P = 0.001), yogurt consumption was 0.5 ± 0.6 and 0.4 ± 0.7 servings/day (P = 0.247), and cheese consumption was 0.4 ± 0.6 and 0.5 ± 0.8 servings/day (P = 0.081). After adjusting for age, birth weight, energy intake, protein, total fat, sugar, dietary fiber, total calcium intake, low-energy reporters, parental education, pubertal stage, and physical activity, only milk intake was negatively associated with BMI and %BF in girls (respectively, girls: β = −0.167, P = 0.013; boys: β = −0.019, P = 0.824 and girls: β = −0.143, P = 0.030; boys: β = −0.051, P = 0.548). Conclusion: We found an inverse association between milk intake and both BMI and %BF only in girls.
- Influência do cumprimento das recomendações de atividade física para grávidas na frequência cardíaca e tensão arterialPublication . Santos, Paula Clara; Couto, Miriam; Abreu, Sandra; Moreira, Carla; Ferreira, Margarida; Correia, Carla LopesVerificar se o cumprimento das recomendações da American College os Sports ande Medicine (ACSM) para a atividade física (AF) na gravidez durante o primeiro e segundo trimestre, tem influência na Frequência Cardíaca (FC), Tensão Arterial Sistólica (TAS) e Diastólica (TAD) de grávidas saudáveis; analisar a influência dos estilos de vida e índice de massa corporal (IMC) pré-gestacional/ganhos ponderais, antes e durante a gravidez, na FC, TAS e TAD, em função do cumprimento das recomendações da ASCM.
- Cardiorespiratory fitness is negatively associated with metabolic risk factors independently of the adherence to a healthy dietary patternPublication . Moreira, Carla; Santos, Rute; Moreira, Pedro; Lobelo, F.; Ruiz, J. R.; Vale, Susana; Santos, Paula Clara; Abreu, Sandra; Mota, JorgeCardiorespiratory fitness (CRF) and diet have been involved as significant factors towards the prevention of cardio-metabolic diseases. This study aimed to assess the impact of the combined associations of CRF and adherence to the Southern European Atlantic Diet (SEADiet) on the clustering of metabolic risk factors in adolescents. A cross-sectional school-based study was conducted on 468 adolescents aged 15-18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, systolic blood pressure, waits circumference and height. HOMA, TC/HDL-C ratio and waist-to-height ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z scores of all individual risk factors. High risk was considered when the individual had 1SD of this score. CRF was measured with the 20 m-Shuttle-Run- Test. Adherence to SEADiet was assessed with a semi-quantitative food frequency questionnaire. Logistic regression showed that, after adjusting for potential confounders, unfit adolescents with low adherence to SEADiet had the highest odds of having MRS (OR Z 9.4; 95%CI:2.6e33.3) followed by the unfit ones with high adherence to the SEADiet (OR Z 6.6; 95% CI: 1.9e22.5) when compared to those who were fit and had higher adherence to SEADiet.
- Gestational weight gain and relationship with sedentary physical activity in the second trimester of pregnancyPublication . Moreira, Sofia; Santos, Paula Clara; Mesquita, Cristina; Lopes, Sofia; Couto, Miriam; Abreu, Sandra; Mota, JorgePregnancy is phase of big changes for women. Although the growing evidence about the benefits of a physically active lifestyle during pregnancy is still high the number of sedentary pregnant or that interrupt physical exercise during pregnancy. Among other consequences, physical inactivity can be related to weight gain during pregnancy. To evaluate the weight gain in the second trimester of pregnancy and verify if the sedentary physical activity influences this weight gain.
- Relationship between dairy product intake during pregnancy and neonatal and maternal outcomes among Portuguese womenPublication . Abreu, Sandra; Santos, Paula Clara; Montenegro, Nuno; Mota, JorgeThe role played by dairy product intake during pregnancy on neonatal outcomes has raised interest in the last few years. However, studies on this association remain scarce. Thus, the aim of this study was to determine the association between dairy product consumption during pregnancy and neonatal and maternal outcomes.
- Association between milk intake, leisure-time physical activity and abdominal obesity in girls 2012Publication . Abreu, Sandra; Santos, Rute; Moreira, Carla; Santos, Paula Clara; Vale, Susana; Soares-Miranda, Luísa; Mota, Jorge; Moreira, PedroDiet and physical activity are recognized as important factors to prevent abdominal obesity (AO), which is strongly associated with chronic disease (type 2 diabetes, cardiovascular diseases, etc.).
- Capacidade de diferentes medidas de adiposidade para discriminar o risco metabólico em adolescentesPublication . Moreira, Carla Marisa Maia; Santos, Rute; Vale, Susana; Santos, Paula; Abreu, Sandra; Marques, Ana; Soares-Miranda, Luisa; Mota, JorgeEste estudo tem como objectivo determinar o poder discriminante das diferentes medidas de adiposidade: índice de massa corporal (IMC), perímetro da cintura (PC) e rácio cintura-altura (RCA) na identificação do risco metabólico em adolescentes açorianos.
- Influência da prática de atividade física nos ganhos ponderais maternos no 1º e 2º trimestre gestacionalPublication . Santos, Paula Clara; Couto, Miriam; Martins, Marta; Abreu, Sandra; Moreira, Carla; Santos, Rute; Montenegro, Nuno; Mota, JorgeNa gravidez ocorre um aumento do peso, sendo que um ganho ponderal adequado é protector da saúde materno/fetal. O aumento de peso excessivo pode levar ao desenvolvimento de diversas patologias, apresentando relação com maior retenção de peso no pós-parto e risco de obesidade. São vários os factores que influenciam o ganho de peso na gravidez sendo que a Atividade física um deles.
- Ability of different measures of adiposity to identify high metabolic risk in adolescentsPublication . Carla Moreira, Carla; Santos, Rute; Vale, Susana; Santos, Paula Clara; Abreu, Sandra; Marques, Ana I.; Soares-Miranda, Luısa; Mota, JorgeThis study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for high metabolic risk in a sample of adolescents. A cross sectional school-based study was conducted on 517 adolescents aged 15–18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, and systolic blood pressure. HOMA and TC/HDL C ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z-scores of all individual risk factors. High risk was considered when the individual had ≥1SD of this score. Receiver-operating characteristics (ROC) were used. Linear regression analyses showed that, after adjusting for age and pubertal stage, all different measures of adiposity are positively and significantly associated with MRS in both sexes, with exception of WHtR for boys. BMI, WC, and WHtR performed well in detecting high MRS, indicated by areas under the curve (AUC), with slightly greater AUC for BMI than for WC and WHtR in both sexes. All measures of adiposity were significantly associated with metabolic risk factors in a sample of Portuguese adolescents
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