Aplicação da Children's Depression Inventory Numa População Clínica de Adolescentes: Estudo Exploratório

Introdução: A Children’s Depression Inventory (CDI; Kovacs, 1992) é usada para avaliar a existência de sintomatologia depressiva na infância e adolescência e tem sido amplamente aplicada em populações não clínicas, em Portugal, desde a sua validação (Marujo, 1994). Porém, os dados referentes a populações clínicas são escassos. Objectivo: Pretende-se estabelecer correlações clínicas numa amostra de adolescentes seguidos em consulta de Pedopsiquiatria fazendo uma contribuição para a validação da CDI em Portugal, com vista a permitir o alargamento da sua aplicação a populações clínicas. Métodos: A CDI -27 itens foi auto-preenchida na 1ª entrevista de atendimento por 35 adolescentes (F=23; M=12) com necessidade de rastreio de depressão, utentes da Consulta de Ambulatório da Clínica da Juventude entre Janeiro/2010 e Julho/2011. Foram excluídos os casos com processo clínico incompleto. Na estatística usou-se o IBM SPSS 19. Resultados: Os dados correspondem a 7,9% da população de origem (N=443). A idade média foi de 14,5 anos (Mín. =13; Máx. =16). A escolaridade média foi de 8,54 anos (Mín. =5; Máx. =11). A estrutura familiar e motivos de pedido de consulta corresponderam aos estudos anteriores efectuados na Clínica. O cutt-off do nível clínico é 15 e 68,5% da amostra estava acima deste valor. O humor negativo (26%) e sentimento de ineficácia (23%) foram as subescalas mais elevadas; 40% dos jovens pontuou para mais do que uma subescala. Os diagnósticos obtidos foram Perturbações do Humor (43%), Perturbações de Adaptação (17%), Perturbações Disruptivas do Comportamento (14%), Perturbações de Ansiedade (9%), Problemas com Grupo de Apoio Primário (3%), Perturbações de Personalidade (3%), e outros (9%). O qui-quadrado não foi significativo para um cut-off de 15 (considerados Perturbações do Humor e Outros diagnósticos). Conclusões: A CDI e os resultados das subescalas são úteis para uma abordagem focalizada e permitem a priorização de casos. Porém, os resultados obtidos comprometem o uso da CDI na detecção de Perturbações do Humor. Os autores sugerem a realização de mais investigações com o objectivo de alargar e melhorar a avaliação do uso clínico da CDI.

Phototherapy in Childhood: a 17-Year Retrospective Study Regarding Effectiveness and Safety

Introduction: Skin diseases in paediatric age are often distressing conditions with significant impact in children’s psychosocial development. Additionally, systemic therapeutic options are often limited in childhood, due to its potential toxicity in this vulnerable group. Phototherapy is therefore an endorsed option for photo-responsive dermatological conditions. Objective and Methods:This observational retrospective study aims to access efficacy and safety of Phototherapy in our paediatric population. Relevant clinical data from 1996 to present concerning patients aged 18 years or less was collected. Results: 78 patients were included, of which64,1%was female. Mean age was 12,9 years (range 2-18). Distribution according to diagnosis was:47,4%psoriasis, 34,6% alopecia areata, 9,0% vitiligo, 9,0% other diagnosis. Mean number of cycles was 1,5 (range 1-7), with an average of 16,3 treatments per cycle and mean cumulative dose 134 J/cm2. 70,5% was treated with one single cycle. Topic and systemic PUVA were the first choice in 37,2% and 39,7%, respectively, while UVB TL01 and broadband UVB were used in 11,5% each. On the first cycle 67,5% improved, 14,3% showed no sustained clinical response and 19,5% were lost to follow-up. Psoriasis patients had the best response rates (81,8%), followed by alopecia areata (59,3%). Side effects occurred in 21%, being erythema the most common (12%). None led to therapeutic interruption. Discussion: Phototherapy is a safe and effective option in childhood, yet the withdraw rate might be an important limitation.

Development of The Viking Speech Scale to Classify the Speech of Children with Cerebral Palsy

Surveillance registers monitor the prevalence of cerebral palsy and the severity of resulting impairments across time and place. The motor disorders of cerebral palsy can affect children’s speech production and limit their intelligibility. We describe the development of a scale to classify children’s speech performance for use in cerebral palsy surveillance registers, and its reliability across raters and across time. Speech and language therapists, other healthcare professionals and parents classified the speech of 139 children with cerebral palsy (85 boys, 54 girls; mean age 6.03 years, SD 1.09) from observation and previous knowledge of the children. Another group of health professionals rated children’s speech from information in their medical notes. With the exception of parents, raters reclassified children’s speech at least four weeks after their initial classification. Raters were asked to rate how easy the scale was to use and how well the scale described the child’s speech production using Likert scales. Inter-rater reliability was moderate to substantial (k > .58 for all comparisons). Test–retest reliability was substantial to almost perfect for all groups (k > .68). Over 74% of raters found the scale easy or very easy to use; 66% of parents and over 70% of health care professionals judged the scale to describe children’s speech well or very well. We conclude that the Viking Speech Scale is a reliable tool to describe the speech performance of children with cerebral palsy, which can be applied through direct observation of children or through case note review.

CO2 Concentration in Day Care Centres is Related to Wheezing in Attending Children

Poor ventilation at day care centres (DCCs) was already reported, although its effects on attending children are not clear. This study aimed to evaluate the association between wheezing in children and indoor CO2 (a ventilation surrogate marker) in DCC and to identify behaviours and building characteristics potentially related to CO2. In phase I, 45 DCCs from Lisbon and Oporto (Portugal) were selected through a proportional stratified random sampling. In phase II, 3 months later, 19 DCCs were further reassessed after cluster analysis for the greatest difference comparison. In both phases, children’s respiratory health was assessed by ISAAC-derived questionnaires. Indoor CO2 concentrations and building characteristics of the DCC were evaluated in both phases, using complementary methods. Mixed effect models were used to analyze the data. In phase I, which included 3,186 children (mean age 3.1±1.5 years), indoor CO2 concentration in the DCC rooms was associated with reported wheezing in the past 12months (27.5 %) (adjusted odds ratio (OR) for each increase of 200 ppm 1.04, 95 % CI 1:01 to 1:07). In phase II, the association in the subsample of 1,196 children seen in 19 out of the initial 45 DCCs was not significant (adjusted OR 1.02, 95 % CI 0.96 to 1.08). Indoor CO2 concentration was inversely associated with the practices of opening Windows and internal doors and with higher wind velocity. A positive trend was observed between CO2 and prevalence of reported asthma (4.7 %). Conclusion: Improved ventilation is needed to achieve a healthier indoor environment in DCC.

Environment and Health in Children Day Care Centres (ENVIRH) - Study Rationale and Protocol

Background: Indoor air quality (IAQ) is considered an important determinant of human health. The association between exposure to volatile organic compounds, particulate matter, house dust mite, molds and bacteria in day care centers (DCC) is not completely clear. The aim of this project was to study these effects. Methods --- study design: This study comprised two phases. Phase I included an evaluation of 45 DCCs (25 from Lisbon and 20 from Oporto, targeting 5161 children). In this phase, building characteristics, indoor CO2 and air temperature/relative humidity, were assessed. A children’s respiratory health questionnaire derived from the ISAAC (International Study on Asthma and Allergies in Children) was also distributed. Phase II encompassed two evaluations and included 20 DCCs selected from phase I after a cluster analysis (11 from Lisbon and 9 from Oporto, targeting 2287 children). In this phase, data on ventilation, IAQ, thermal comfort parameters, respiratory and allergic health, airway inflammation biomarkers, respiratory virus infection patterns and parental and child stress were collected. Results: In Phase I, building characteristics, occupant behavior and ventilation surrogates were collected from all DCCs. The response rate of the questionnaire was 61.7% (3186 children). Phase II included 1221 children. Association results between DCC characteristics, IAQ and health outcomes will be provided in order to support recommendations on IAQ and children’s health. A building ventilation model will also be developed. Discussion: This paper outlines methods that might be implemented by other investigators conducting studies on the association between respiratory health and indoor air quality at DCC.

Food Allergy and Anaphylaxis in Infants and Preschool-Age Children

Food allergy (FA) prevalence data in infants and preschool-age children are sparse, and proposed risk factors lack confirmation. In this study, 19 children’s day care centers (DCC) from 2 main Portuguese cities were selected after stratification and cluster analysis. An ISAAC’s (International Study of Asthma and Allergies in Childhood) derived health questionnaire was applied to a sample of children attending DCCs. Outcomes were FA parental report and anaphylaxis. Logistic regression was used to explore potential risk factors for reported FA. From the 2228 distributed questionnaires, 1217 were included in the analysis (54.6%). Children’s median age was 3.5 years, and 10.8% were described as ever having had FA. Current FA was reported in 5.7%. Three (0.2%) reports compatible with anaphylaxis were identified. Reported parental history of FA, personal history of atopic dermatitis, and preterm birth increased the odds for reported current FA. A high prevalence of parental-perceived FA in preschool-age children was identified. Risk factor identification may enhance better prevention.