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1.
Am J Hypertens ; 32(3): 265-271, 2019 02 12.
Article in English | MEDLINE | ID: mdl-30508175

ABSTRACT

BACKGROUND: To analyze the relationship between early-life indicators, blood pressure (BP), and arterial stiffness in childhood, in three samples with different bio-cultural characteristics. METHODS: The total sample included 520 schoolchildren 9-10 years of age from Madrid (Spain), Vitória (Brazil), and Luanda (Angola). Height and weight, BP, and carotid-femoral pulse wave velocity (cf-PWV) were measured, all by one observer in each site, and body mass index (BMI) was calculated. Birth weight, gestational age, type of feeding, and age at weaning were extracted from official health cards. Data were analyzed by multiple linear regression models. RESULTS: No significant differences were observed in systolic blood pressure (SBP) and diastolic blood pressure (DBP) among the samples (P = 0.107 and P = 0.808). Luanda showed the higher cf-PWV (5.7 m/s), followed by Vitória (5.3 m/s) and Madrid (4.9 m/s; P < 0.001). Explanatory factors for the observed variability in SBP, DBP, and cf-PWV, obtained by means of multiple linear regression models, were different in three samples. BMI showed a positive and significant association with SBP, DBP, and cf-PWV in three samples. In the Angolan sample, in addition to BMI, birth weight was maintained in the explanatory models of SBP and cf-PWV adjusted for BP, with a negative and significant coefficient (-0.019 and -0.019). CONCLUSIONS: Higher values of BMI in childhood are related with higher values of cf-PWV, SBP, and DBP in the three samples. Children from Angola showed the highest mean value of cf-PWV, especially those who had lower birth weight, suggesting that worse conditions in fetal life may contribute to increased aortic stiffness in childhood.


Subject(s)
Birth Weight , Blood Pressure , Body Mass Index , Child Development , Vascular Stiffness , Angola , Brazil , Breast Feeding , Child , Culture , Female , Humans , Male , Pulse Wave Analysis , Spain
2.
Nutrients ; 10(6)2018 05 24.
Article in English | MEDLINE | ID: mdl-29882923

ABSTRACT

Few studies have evaluated the association between diet and mental disorders, and it has been established that ω-3 (n-3) fatty acids may have a beneficial effect for sufferers of anxiety disorders. This study is part of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)—a population-based cohort study on diet and mental health—and searched for associations between anxiety disorders and consumption of n-3 polyunsaturated fatty acids (PUFA). The study had a cross-sectional design, with a total sample of 12,268 adults. Dietary exposure was measured by a quantitative food-frequency questionnaire, and mental diagnoses were assessed by the Clinical Interview Schedule—Revised Version and diagnosed according to the International Classification of Diseases (ICD-10). Logistic regression models were built using quintiles of n-3, ω 6 (n-6), n-6/n-3 ratio, and PUFA, using the 1st quintile as reference. Anxiety disorders were identified in 15.4% of the sample. After adjusting for sociodemographic variables, cardiovascular risk factors, diet variables, and depression, intakes in the 5th quintile were inversely associated with anxiety disorders for EPA (OR = 0.82, 95% CI = 0.69⁻0.98), DHA (OR = 0.83, 95% CI = 0.69⁻0.98), and DPA (OR = 0.82, 95% CI = 0.69⁻0.98). Participants in the fifth quintile of n-6/n-3 ratio had a positive association with anxiety disorders. Although results suggest a possible protective effect of n-3 fatty acids against anxiety, all associations lost significance after adjustment for multiple comparisons.


Subject(s)
Anxiety/epidemiology , Fatty Acids, Omega-6/administration & dosage , Nutritional Status , Adult , Aged , Anxiety/diagnosis , Anxiety/prevention & control , Anxiety/psychology , Brazil/epidemiology , Chi-Square Distribution , Cross-Sectional Studies , Female , Humans , Incidence , Logistic Models , Longitudinal Studies , Male , Mental Health , Middle Aged , Multivariate Analysis , Nutrition Assessment , Nutrition Surveys , Odds Ratio , Prevalence , Protective Factors , Risk Factors
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