Cláudia Bulhões

Osteoporosis leads to bone fragility, increasing the risk of fractures in the elderly population, with associated morbidity and mortality. Screening is conducted using the Fracture Risk Assessment Tool (FRAX®). This study aims to evaluate the application of FRAX®and implement strategies to improve osteoporosis screening and diagnosis in a primary health care center (USF) in Portugal. This is an intervention study with evaluations at 0, 3, and 6 months. Representative samples of patients aged ≥50 years (N=5200, 95% CI, ME 5%) who had had a consultation in the previous month were selected, with 364 patients included. Patients who were bedridden, already diagnosed with osteoporosis, had requested bone densitometry, or were undergoing osteoporosis treatment were excluded. The documenting of the utilization of FRAX®was assessed in the programme SClinico®. Intervention included training sessions for the medical team on osteoporosis, development of a Protocol, and periodic reminders. To assess the impact of intervention, the following goals were defined: <25% of FRAX®records as insufficient, between 25% and 50% as sufficient, and over 50% as desirable. Prior to intervention, 0.8% (n=3) of the patient sample had FRAX®recorded in SClinico®. At the 3-month interim assessment, 4.7% (n=17) had FRAX®applied, with 20.6% (n=75) of the patient sample having a record of FRAX®being utilized at 6 months. The results show a significant improvement in the application of FRAX®compared to the baseline, although still below the established goals. This study highlights the need for continuous efforts to improve adherence to osteoporosis screening.

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.

Objective: To assess the feasibility of the procedures of EPI-ASTHMA. EPI-ASTHMA is a population-based multicentre stepwise study about the prevalence and characterisation of patients with asthma based on disease severity in Portugal. Methods: A pilot study of EPI-ASTHMA was conducted with adults from three primary care centres. We followed a stepwise approach comprising 4 stages: stage 0—invitation phone call (n ~1316); stage 1—telephone interview (n ~658); stage 2—clinical assessment with physical examination, diagnostic tests, and patient-reported outcome measures, to confirm the diagnosis of those with possible asthma at stage 1 (n ~160); stage 3—characterization of a subgroup of asthma patients by collecting data through a telephone interview, patient file review and CARATm app (n ~40), after 3-months. The frequency of asthma was calculated in relation to the entire study population (stage 1) and the frequency of difficult-to-treat/severe asthma in relation to the number of asthma patients (stage 3). Results: From 1305 adults invited, 892 (68%) accepted to participate (stage 0) and 574 (64%; 53[42– 67] y; 43% male) were interviewed (stage 1). From those, 148 (26%; 60[46– 68] y; 43% male) were assessed at stage 2, and 46 (31%; 51[39– 67] y; 44% male) were diagnosed with asthma. Half of these patients (n = 23) accepted to install the app. Stage 3 was completed by 41 (93%) patients, of whom 31 (83%) had asthma confirmed by their file review. A total of 8% of participants had asthma, of those 17% had difficult-to-treat and 5% severe asthma. Conclusion: Attained recruitment rates and the quality of the results confirmed the feasibility of the EPI-ASTHMA stepwise approach. This pilot study provided insight into the improvement of the procedures to be generalized across the country.

Depressive symptoms display heterogeneous trajectories across adolescence, which can lead to different consequences. This study aimed to identify trajectories of depressive symptoms from adolescence to young adulthood, assessing the association with social and health outcomes at young adulthood. Adolescents born in 1990, enrolled in schools of Porto, Portugal, in 2003–2004 (EPITeen study) completed the Beck Depression Inventory II (BDI-II) at 13, 17 and 21 years. Mixed models and model-based clustering were used to describe the trajectories in the BDI-II score (n = 2010). Outcomes were assessed at age 21 years with self-administered questionnaires and face-to-face interviews (n = 1594). Odds ratios or regression coefficients, with 95% confidence intervals, were estimated using logistic and linear regression. Three trajectory classes of depressive symptoms were identified, similar in shape in both sexes: High (8.4%), Moderate (31.3%) and Low (60.2%). Participants in High or Moderate classes were more likely to describe lower scores of community involvement, more medical appointments during the last year, higher levels of pain and had higher probability of self-rating health as “good” or “fair or poor”. Females in the High and Moderate classes were more likely to be current smokers, to describe ever using drugs and to report more sexual partners, emergency room visits and the use of antidepressants. The risk of depressive symptoms in adulthood is likely to be early determined in adolescence. The trajectory classes with higher levels of symptoms were associated with worse social and health outcomes.

Depression is the most important source of disability in adolescents, partially due to its recurrence. There is a lack of studies on population-based samples investigating the continuity of depressive symptoms during adolescence. This study evaluates depressive symptoms at early adolescence as predictors of depressive symptoms later in adolescence. Urban adolescents born in 1990 and enrolled in schools of Porto, Portugal, in 2003–2004 (EPITeen study) were evaluated at 13 and 17 years (n = 1106, 55.9% females), and completed a questionnaire comprising health behaviors and Beck Depression Inventory II (BDI-II) to assess depressive symptoms. A questionnaire on socio-demographic and clinical characteristics was self-reported. Regression coefficients (β) and 95% confidence intervals (CI) were estimated using simple linear regression. The prevalence of adolescents with depressive symptoms above the cut-off (BDI-II > 13) was 11.9% at 13 years (girls: 17.1%; boys: 5.3%) and 10.8% at 17 years (girls: 14.7%; boys: 5.7%). Almost 6% of girls and 2% of boys had BDI-II > 13 at both assessments, and 35% of girls and boys with BDI-II > 13 at baseline also had BDI-II > 13 at follow-up. For both genders, depressive symptoms at age 13 were independently associated with depressive symptoms at age 17 (girls: β = 0.35, 95% CI 0.28–0.42; boys: β = 0.37, 95% CI 0.30–0.44). Depressive symptoms at age 13 were an independent predictive factor for adolescents’ depressive symptoms at age 17. The prevalence of adolescents with BDI-II > 13 was higher in females, but the strength of this association was similar in both genders, highlighting the heavy burden of depressive symptoms already at an early age, among girls and boys.

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.

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.

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.