Aims.: The higher prevalence of depressive symptoms among females is well recognised but the reasons for this gender difference are not fully understood. There is growing evidence that current diagnostic criteria and instruments used to assess depression are less sensitive to depression in men, but studies about this issue among adolescents are scarce, especially in Latin countries. Our aim was to assess sex differences in the intensity of depressive symptoms, measured using the Beck Depression Inventory second edition (BDI-II), among Portuguese adolescents, at 13 and 17 years of age.Methods.: Urban adolescents born in 1990 and enrolled in schools of Porto, Portugal, in 2003–2004 (EPITeen study) completed the BDI-II at 13 and 17 years of age. The final sample included 1988 (52.2% girls) and 2131 (53.0% girls) adolescents at 13 and 17 years, respectively. Sex differences in the frequency of endorsing the statements on the 21 items of the BDI-II were examined using the χ² test and effect sizes were estimated (Cohen's w). To examine whether responses were linked systematically to sex, we used a differential item functioning (DIF), based on the logistic regression approach. Option characteristic curves were estimated for items with differential endorsement and a new BDI-II score was computed excluding those items.Results.: Girls and boys at the same level of depression expressed similar severity ratings for most of the depressive symptoms. We had four items with DIF at 13 and 17 years of age. At 13 years, two items provided lower scores (sadness and crying items) and two higher scores (punishment feelings and loss of interest in sex items) among boys, comparing with equally depressed girls. At 17 years, the four items with DIF provided lower scores among boys (sadness, crying, self-dislike and tiredness or fatigue items). After excluding these items the prevalence of depression remained higher among girls but at 17 years the difference between sexes was attenuated.Conclusions.: Sex differences were found in the functioning of the BDI-II, more relevant at 17 years of age, which may lead to an overestimation of symptoms among girls as well as to lower reported rates of depression among boys. For a higher diagnostic accuracy it is important that the criteria and instruments used to assess depression adequately reflect female and male common symptoms and experiences of depression.

The available estimates reveal that 20–50% of adolescents report depressive symptoms, being one of the most prevalent health problems in adolescence. The aim of this study was to assess the prevalence of depressive symptoms in a community sample of 13-year-old adolescents and identify associated features. Thirteen year-old adolescents attending private and public schools in Porto (n = 1,988, 52.2% females) were evaluated from October 2003 to June 2004 and completed a questionnaire including health behaviors and the Beck Depression Inventory II. A questionnaire on parents’ socio-demographics and clinical characteristics was sent home. Data were analyzed separately by sex. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression. The prevalence of depressive symptoms was 18.8% in girls and 7.6% in boys (p < 0.001). Boys with a family history of depression and girls with smoking habits had a significantly increased risk of depressive symptoms (OR = 2.18, 95%CI 1.00–4.71; OR = 2.34, 95%CI 1.46–3.76). Menarche at an early age significantly increased the risk of depressive symptoms. The characteristics most strongly associated with depressive symptoms were family history of depression among boys, tobacco consumption and an early age at menarche among girls. The high prevalence of depressive symptoms early in adolescence calls for the awareness of public health professionals.

Recent studies show increased prevalence of Cognitive Dysfunction in patients with Chronic Kidney Disease. To evaluate this association in users enrolled in the Family Health Unit Ponte. We studied a sample of 246 elderly. We assessed cognitive function using the Mini Mental State Examination and the Glomerular Filtration Rate using the equation Modification of Diet in Renal Disease. The Glomerular Filtration Rate values obtained (ml/min/1,73 m2) were divided into three categories: < 60.00, 60 to 89.99 and ≥ 90. We collected additional variables from the Medical Support Service and studied the data using bivariate analyzes and logistic regression models. The groups with Glomerular Filtration Rate < 60 and ≥ 90 had a higher prevalence of Cognitive Dysfunction, irrespective of other factors. The odds ratios were, respectively, of 4.534 (95%CI: 1.257 to 16.356) and 3.302 (95% CI: 1.434 to 7.607). According to the literature, we found higher prevalence of Cognitive Dysfunction in the group with Glomerular Filtration Rate < 60. The high prevalence of Cognitive Dysfunction in users with GFR ≥ 90 is described in some studies and may be caused by situations that lead to overestimation of that rate, as the states of cachexia, or situations of glomerular hyperfiltration. The relationship between renal function and the prevalence of Cognitive Dysfunction was not linear, but rather in a parabolic shape. Further studies are needed to explain this relationship and to determine the need for monitoring Cognitive Dysfunction in patients with impaired renal function.

In 2010, 6.8% of the Portuguese adults had asthma. Contemporary studies employing more accurate methods are needed. We aimed to assess asthma prevalence in Portugal and to identify associated-factors. A population-based nationwide study was conducted from May 2021 to March 2024. A multistage random sampling approach was applied to select adults from primary care. Stage 1 involved a telephone screening interview to collect socio-demographic and clinical data. Patients with an Adult Asthma Score (A2 Score) ≥1 were eligible for Stage 2, and 5% of those with an A2 Score = 0 were also invited to participate in Stage 2, which consisted of a diagnostic visit with a physical examination and diagnostic tests. We computed weighted asthma prevalence estimates and multivariable logistic regression models were used. A total of 7,556 participants completed Stage 1 and 1,857 Stage 2. The prevalence of asthma was 7.1% (95%CI = 6.3-8.0%), with slight differences by sex, age, and region. Education, family history of asthma, inhaler prescription, nasal/ocular symptoms, food allergies, and previous allergy skin tests were associated with an increased risk of asthma (R² = 33%). Asthma diagnosis could also be predicted by the A2 score, either on its own (R² = 43%) or in combination with family history and previous allergy skin tests (R² = 45%). Asthma affects 7.1% of Portuguese adults. Family history of asthma, nasal/ocular symptoms, and comorbid food allergy are associated with increased risk of asthma.