Weight following birth and childhood dietary intake: A prospective cohort study

Objectives: Unhealthy childhood dietary habits track through life and are independent and modifiable risk factors for disease. Therefore, it is essential to understand the factors involved. We aimed to evaluate the associations of birthweight (BW) and newborn weight change (NWC) during the first 96 h of life and childhood longitudinal weight trajectories with dietary intake at age 4. Methods: As part of the Generation XXI birth cohort (G21), children were recruited in 2005 and 2006 at all public units providing obstetrical and neonatal care in Porto, Portugal. Information was collected by face-to-face interview and abstracted from clinical records. At age 4, weight measurements recorded from birth to current age were abstracted and weight trajectories estimated. Food frequency questionnaires were applied, and three dietary patterns (DPs) were identified: “Energy-dense food (EDF)+Dairy,” “Lower in Healthy Food,” and “Healthier.” Logistic regression models were used to compute the odds ratio (OR) and 95% confidence intervals (CIs) (OR [95% CI]) in a sample of 775 children. Results: Children with higher BW were less frequently in the “EDF+Dairy” DP (0.94 [0.89–0.98] per 100 g increase in BW). Children with higher NWC had lower odds of eating fruit ≥3/d (0.93 [0.87–0.99] per 1% increase in NWC). Children with higher weight during childhood had higher odds of belonging to the “EDF+Dairy” DP (1.90 [1.04–3.47]) and lower odds of eating vegetable soup ≥2/d (0.56 [0.34–0.91]). Children showing catch-up grow in the first year of life had higher odds of eating dairy products ≥3/d (3.76 [1.31–10.80]). Conclusions: The way that children grow during childhood played a major role on dietary intake at age 4

The influence of item order of the Household Food Security Survey Module on the assessment of food insecurity in households with children

Abstract Objective: Changes in the item order of the US Household Food Security Survey Module (USHFSSM) were performed throughout time. This study aimed to compare the psychometric properties of the general and specific factors of the 2000 and 2012 versions of the USHFSSM to measure the construct of food insecurity in two Portuguese samples of households with children. Design: Cross-sectional. Setting: Portugal. Participants: An adaptation of the 2000 version was applied to 839 adults (from households with children aged 7-17 years) from the National Food, Nutrition and Physical Activity Survey 2015-2016, while the 2012 version was used among 2855 families from the Generation XXI birth cohort. Results: The 2000 version showed to have a stronger ωh than the 2012 version (0·89 v. 0·78 for the general factor), as well as eigenvalues higher than 1 for the general factor (eigenvalues equal to 9·54, 0·97 and 0·80, for the general factor, specific factor 1 and specific factor 2, respectively), while the 2012 version had also the contribution of specific factors to explain food insecurity (eigenvalues equal to 9·40, 2·40 and 1·20, for general factor and specific factors 1 and 2, respectively). Good internal consistency (ωt = 0·99, for both versions) was obtained. Conclusions: In conclusion, the 2000 and 2012 versions of the USHFSSM showed good psychometric properties; however, the 2000 version has stronger general factor, while the 2012 version also has the contribution of specific factors.

Association between dietary patterns and metabolic syndrome in a sample of portuguese adults

Background: There is scarce evidence regarding the association between diet and metabolic syndrome (MetS) in Portuguese population. We aim to evaluate the association between a posteriori dietary patterns (DPs) and MetS and its features. Methods. Using random digit dialing, a sample of 2167 adults was selected between 1999 and 2003, in Porto. During a face-to-face interview, a questionnaire was applied, anthropometric measures were taken, blood pressure measured and a fasting blood sample collected. Diet was assessed using a validated food frequency questionnaire, and four DPs were identified in each sex by multivariate finite mixture models. Results: After adjustment for age and daily energy intake, comparing to the healthy DP, women with the low fruit and vegetables DP had a higher odds of high waist circumference (OR=1.88 95% CI 1.17-3.01) and low HDL-cholesterol (OR=1.78 95% IC 1.12-2.82) and women in the red meat and alcohol DP had higher odds of high waist circumference (OR=1.45 95% CI 1.01-2.07) and of MetS (OR=1.57 95% CI 1.07-2.29); men with the fish DP had a higher odds of high triglycerides (OR=1.57 95% CI 1.05-2.35). After further adjustments (education, physical activity, smoking, alcohol drinking, BMI, and menopausal status) no significant associations remained. Conclusions: Four distinct DPs were identified in a community sample of Portuguese adults and there was no association with the prevalence of MetS. © 2012 Fonseca et al.; licensee BioMed Central Ltd

Intrathyroidal Ectopic Thymus: A Case Series

info:eu-repo/semantics/publishedVersio

Seroprevalence of Bordetella pertussis in healthcare workers in a Portuguese tertiary referral hospital

info:eu-repo/semantics/publishedVersio

The structural effects of mutations can aid in differential phenotype prediction of beta-myosin heavy chain (Myosin-7) missense variants

MOTIVATION: High-throughput sequencing platforms are increasingly used to screen patients with genetic disease for pathogenic mutations, but prediction of the effects of mutations remains challenging. Previously we developed SAAPdap (Single Amino Acid Polymorphism Data Analysis Pipeline) and SAAPpred (Single Amino Acid Polymorphism Predictor) that use a combination of rule-based structural measures to predict whether a missense genetic variant is pathogenic. Here we investigate whether the same methodology can be used to develop a differential phenotype predictor, which, once a mutation has been predicted as pathogenic, is able to distinguish between phenotypes-in this case the two major clinical phenotypes (hypertrophic cardiomyopathy, HCM, and dilated cardiomyopathy, DCM) associated with mutations in the beta-myosin heavy chain (MYH7) gene product (Myosin-7). RESULTS: A random forest predictor trained on rule-based structural analyses together with structural clustering data gave a Matthews' correlation coefficient (MCC) of 0.53 (accuracy, 75%). A post hoc removal of machine learning models that performed particularly badly, increased the performance (MCC = 0.61, Acc = 79%). This proof of concept suggests that methods used for pathogenicity prediction can be extended for use in differential phenotype prediction

Seropositivity for Coxiella burnetii in Wild Boar (Sus scrofa) and Red Deer (Cervus elaphus) in Portugal

Q fever is caused by the pathogen Coxiella burnetii and is a zoonosis that naturally infects goats, sheep, and cats, but can also infect humans, birds, reptiles, or arthropods. A survey was conducted for the detection of antibodies against C. burnetii in a sample of 617 free-ranging wild ruminants, 358 wild boar (Sus scrofa) and 259 red deer (Cervus elaphus), in east-central Portugal during the 2016-2022 hunting seasons. Only adult animals were sampled in this study. Antibodies specific to C. burnetii were detected using a commercial enzyme-linked immunosorbent assay (ELISA; IDVet(R), Montpellier, France) according to the manufacturer's instructions. The seroprevalence of C. burnetii infection was 1.5% (n = 9; 95% confidence interval [CI]: 0.7-2.8%). Antibodies against C. burnetii were detected in 4/358 wild boar (1.1%; 95% CI: CI: 0.3-2.8%) and 5/259 red deer (1.9%; 0.6-4.5%). Results of the present study indicate that antibodies against C. burnetii were present in wild boar and red deer in Portugal. These findings can help local health authorities to focus on the problem of C. burnetii in wildlife and facilitate the application of a One Health approach to its prevention and control