Adjective–noun order as representational structure: Native-language grammar influences perception of similarity and recognition memory

This article describes two experiments linking native-language grammar rules with implications for perception of similarity and recognition memory. In prenominal languages (e.g., English), adjectives usually precede nouns, whereas in postnominal languages (e.g., Portuguese), nouns usually precede adjectives. We explored the influence of such rules upon similarity judgments about, and recognition of, objects with multiple category attributes (one nominal attribute and one adjectival attribute). The results supported the hypothesized primacy effect of native-language word order such that nouns generally carried more weight for Portuguese speakers than for English speakers. This pattern was observed for judgments of similarity (i.e., Portuguese speakers tended to judge objects that shared a noun-designated attribute as more similar than did English speakers), as well as for false alarms in recognition memory (i.e., Portuguese speakers tended to falsely recognize more objects if they possessed a familiar noun attribute, relative to English speakers). The implications of such linguistic effects for the cognition of similarity and memory are discussed.     

The Validity of the Massie-Campbell Attachment During Stress Scale (ADS)

The present study is the first step towards validating the Massie-Campbell attachment during stress scale (ADS). The ADS is a one-page guide to standardized observation of mother-infant interactions meant to detect insecure attachment behaviors. So far it was used infrequently in scientific research but it is widely applied in the Chilean public health system. To establish the ADS’s convergent, concurrent, and construct validity, the ADS was compared with the Strange Situation Procedure (SSP) and correlated with maternal sensitivity. Videotapes of the SSP were coded with the ADS and the resulting ADS attachment classifications were compared with the SSP classifications. It was found that the ADS can distinguish moderately well between securely attached and non-securely attached mother-infant dyads, and the ADS was also associated with observed maternal sensitivity. However, the ADS suffers from a number of limitations that warrant further study. In particular, the ADS proved unable to detect resistantly attached mother-infant dyads. Revision of the scale and its scoring rules seems necessary in order to improve its validity as a screening device in scientific research and clinical practice.     

Casa de Alba: Therapeutic community for severe mental health problems

The Romão de Sousa Foundation has worked for three years to establish Casa de Alba which aims to help individuals and families affected by mental health problems. Working within a relational-integrative framework, Casa de Alba has a multidisciplinary team which makes use of therapeutic community theory and a range of psychological therapies and psychosocial interventions including individual and group psychotherapy, occupational therapy, arts, yoga, psychiatric consultation and pharmacotherapy, as well as the encouragement of self-management in everyday activities within the house. The use of over 20 acres of outdoor space will form part of the day to day therapeutic programme with activities such as horticultural therapy, ridding, walking and sports. Supervision will be used to help the staff team integrate different modalities and approaches as well as to improve the service.     

Partial Likelihood Estimation of IRT Models with Censored Lifetime Data: An Application to Mental Disorders in the ESEMeD Surveys

Developmental studies of mental disorders based on epidemiological data are often based on cross-sectional retrospective surveys. Under such designs, observations are right-censored, causing underestimation of lifetime prevalences and correlations, and inducing bias in latent trait models on the observations. In this paper we propose a Partial Likelihood (PL) method to estimate unbiased IRT models of lifetime predisposition to develop a certain outcome. A two-step estimation procedure corrects the IRT likelihood of outcome appearance with a function depending on (a) projected outcome frequencies at the end of the risk period, and (b) outcome censoring status at the time of the observation. Simulation results showed that the PL method yielded good recovery of true frequencies and intercepts. Slopes were best estimated when events were sufficiently correlated. When PL is applied to lifetime mental health disorders (assessed in the ESEMeD project surveys), estimated univariate prevalences were, on average, 1.4 times above raw estimates, and 2.06 higher in the case of bivariate prevalences.     

Identification of risk factors for suffering fear of hypoglycemia in type 1 Diabetes Mellitus patients

Hypoglycemia is one of the main burdens for type I Diabetes Mellitus (DM I) patients. The consequences of hypoglycemia can be quite unpleasant due to the variety of disagreeable physical and psychological symptoms it triggers. The patient's previous experience with hypoglycemia episodes will condition his psychological reaction to future episodes, promoting behavioral modifications that associate with poor glycemic control and worse prognosis, and even with developing psychological disorders, leading to fear of hypoglycemia (FH). To be able to provide tailored prevention and treatment of patients with FH it is necessary to identify the risk factors in DM I patients. We developed and validated the FH‐15 scale, a novel instrument to assess FH, which showed good concurrent and predictive validity in DM I patients. In this work we aim to identify the risk factors for suffering FH by detecting DM I patients with FH using the FH‐15 scale and then analyzing the association of clinical and sociodemographic variables. We found that age, needing help to resolve an episode of hypoglycemia, and a perceived lack of social support are risk factors for suffering FH.     

Knowability as potential knowledge

The thesis that every truth is knowable is usually glossed by decomposing knowability into possibility and knowledge. Under elementary assumptions about possibility and knowledge, considered as modal operators, the thesis collapses the distinction between truth and knowledge (as shown by the so-called Fitch-argument). We show that there is a more plausible interpretation of knowability—one that does not decompose the notion in the usual way—to which the Fitch-argument does not apply. We call this the potential knowledge-interpretation of knowability. We compare our interpretation with the rephrasal of knowability proposed by Edgington and Rabinowicz and Segerberg, inserting an actuality-operator. This proposal shares some key features with ours but suffers from requiring specific transworld-knowledge. We observe that potential knowledge involves no transworld-knowledge. We describe the logic of potential knowledge by providing models for interpreting the new operator. Finally we show that the knowability thesis can be added to elementary conditions on potential knowledge without collapsing modal distinctions.     

An Index of Progress Towards the MDG1 in Southern Africa and the Horn of Africa

In this article we present a new proposal for measuring progress towards Millennium Development Goal (MDG) 1 to eradicate extreme poverty and hunger, applied to a group of countries particularly affected by poverty in the context of southern Africa and the Horn of Africa. Our index is novel in that it has been constructed taking into account a larger number of variables defined in the UN Millennium Declaration which are generally considered to determine countries’ levels of underdevelopment. As technique applied to the data, provided by the UN, we used the P₂ distance of Pena method and applied it to the year 2007; the last year for which data are available. This index incorporates variables that permit a ranking of the countries of southern Africa and the Horn of Africa in terms of those partial indicators. To sum up, the objective is to produce a global indicator of fulfilment of the MDG1.