Eating Disorders Among a Community‐Based Sample of Chilean Female Adolescents

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/88044/1/jora733.pd

Can we identify emotion over-regulation in infancy? Associations with avoidant attachment, dyadic emotional interaction and temperament

Emotion over-regulation in infancy has seldom been the focus of empirical research. This study analysed the specificities of overregulation when compared with under-regulation (maladaptive) and adaptive regulation by testing its association with attachment, dyadic emotional interaction, and temperament. The sample consisted of 52 low-risk mother–infant dyads. During a home visit, dyadic emotional interaction was assessed in the daily routines and free play of 10-month-old infants. The infant’s emotion regulation was assessed using the Shape Sorter Task, and a temperament questionnaire was completed by the mother.Attachmentwas assessed at 12 or 16 months using the Strange Situation. As hypothesized, (i) emotion overregulation (versus adaptive regulation) was predicted by a lower quality of dyadic emotional interaction and marginally by avoidant attachment; (ii) over-regulation (versus under-regulation) was predicted by avoidant attachment; and (iii) the predictive role of avoidant attachment was substantiated after controlling for another measure of mother–infant interaction. Contrary to expectations, temperament did not distinguish between emotion regulation styles. The link between over-regulation and lower quality of mother–infant emotional interaction and avoidant attachment was demonstrated. There is empirical support to the claim that it is possible to identify emotion overregulation in infancy and that it is a maladaptive style of emotion regulation.Fundação para a Ciência e a Tecnologia (SFRH/BD/16524/2004/254S)Neofarmacêutic

Ambivalence in narrative therapy: a comparison between recovered and unchanged cases

Research on the identification of poor outcome predictors is crucial for the prevention of therapeutic failure. Previous research suggests that clients’ persistent ambivalence is one possible path to unsuccessful psychotherapy. The present study analyses ambivalence—here operationalized as return-tothe-problem markers (RPMs)—in five recovered and five unchanged cases of narrative psychotherapy for major depression. The results suggest that both recovered and unchanged cases presented a similar proportion of RPMs at baseline and a decreasing pattern of these ambivalence markers throughout therapy. However, the decreasing was more accentuated in recovered than in unchanged cases, and at the end of the treatment, the proportion of RPMs of the unchanged cases was significantly higher. The results are discussed in light of previous research on ambivalence in psychotherapy, focusing on the meaning of ambivalence and its clinical implications

Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis

First Online: 06 October 2012Identification of predictors of cognitive trajectories through the establishment of composite or single-parameter dimensional categories of cognition and mood may facilitate development of strategies to improve quality of life in the elderly. Participants (n = 487, aged 50+ years) were representative of the Portuguese population in terms of age, gender, and educational status. Cognitive and mood profiles were established using a battery of neurocognitive and psychological tests. Data were subjected to principal component analysis to identify core dimensions of cognition and mood, encompassing multiple test variables. Dimensions were correlated with age and with respect to gender, education, and occupational status. Cluster analysis was applied to isolate distinct patterns of cognitive performance and binary logistic regression models to explore interrelationships between aging, cognition, mood, and socio-demographic characteristics. Four main dimensions were identified: memory, executive function, global cognitive status, and mood. Based on these, strong and weak cognitive performers were distinguishable. Cluster analysis revealed further distinction within these two main categories into very good, good, poor, and very poor performers. Mood was the principal factor contributing to the separation between very good and good, as well as poor and very poor, performers. Clustering was also influenced by gender and education, albeit to a lesser extent; notably, however, female gender × lower educational background predicted significantly poorer cognitive performance with increasing age. Mood has a significant impact on the rate of cognitive decline in the elderly. Gender and educational level are early determinants of cognitive performance in later life.This work was funded by the European Commission (FP7) “SwitchBox” (Contract HEALTH-F2-2010-259772). NCS is supported by a SwitchBox post-doctoral fellowship. We are thankful to all study participants. The authors would like to acknowledge all colleagues who assisted with participant recruitment and evaluation

The use of Bayesian latent class cluster models to classify patterns of cognitive performance in healthy ageing

The main focus of this study is to illustrate the applicability of latent class analysis in the assessment of cognitive performance profiles during ageing. Principal component analysis (PCA) was used to detect main cognitive dimensions (based on the neurocognitive test variables) and Bayesian latent class analysis (LCA) models (without constraints) were used to explore patterns of cognitive performance among community-dwelling older individuals. Gender, age and number of school years were explored as variables. Three cognitive dimensions were identified: general cognition (MMSE), memory (MEM) and executive (EXEC) function. Based on these, three latent classes of cognitive performance profiles (LC1 to LC3) were identified among the older adults. These classes corresponded to stronger to weaker performance patterns (LC1>LC2>LC3) across all dimensions; each latent class denoted the same hierarchy in the proportion of males, age and number of school years. Bayesian LCA provided a powerful tool to explore cognitive typologies among healthy cognitive agers.The study is integrated in the "Maintaining health in old age through homeostasis (SWITCHBOX)" collaborative project funded by the European Commission FP7 initiative (grant HEALTH-F2-2010-259772). NS and JAP are main team members of the European consortium SWITCHBOX (http://www.switchbox-online.eu/). NCS is supported by a SwitchBox post-doctoral fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Peritonitis in children on peritoneal dialysis in Cape Town, South Africa: epidemiology and risks

Peritonitis is a frequent complication of peritoneal dialysis (PD) in children as well in adults. Data on PD and peritonitis in pediatric patients are very scarce in developing countries. A retrospective cohort study was performed between 2000 and 2008 with the aim to evaluate PD treatment and peritonitis epidemiology in pediatric patients in South Africa and identify risk factors for peritonitis. Baseline characteristics and potential risk factors of peritonitis were recorded, including housing, socio-economic circumstances, distance to PD center, type of PD, mode of catheter placement, race, presence of gastrostomy tube, weight, and height. Outcome indices for peritonitis were peritonitis rate, time to first peritonitis, and number of peritonitis-free patients. The patient cohort comprised 67 patients who were on PD for a total of 544 months. The total number of peritonitis episodes was 129. Median peritonitis rate was one episode every 4.3 patient months (2.8 episodes/patient-year, range 0–21.2). Median time to first infection was 2.03 months (range 0.1–21.5 months), and 28.4% of patients remained free from peritonitis. Patients with good housing and good socio-economic circumstances had a significantly lower peritonitis rate and a longer time to first peritonitis episode. Peritonitis rate was high in this cohort, compared to numbers reported for the developed world; the characteristics of causative organisms are comparable. The most important risk factors for the development of peritonitis were poor housing and poor socio-economic circumstances. More intensive counseling may be beneficial, but improvement of general socio-economic circumstances will have the greatest influence on PD success

Contribution à l'étude de la pathologie digestive du nourrisson

Doctorat en sciences médicalesinfo:eu-repo/semantics/nonPublishe

L'épidémiologie moderne

info:eu-repo/semantics/publishedStatistique et épidémiologi