Clusters of Suicidal Events Among Young People: Do Clusters from One Time Period Predict Later Clusters?

We sought to compare clusters of suicidal events between two different time periods and examine the extent to which earlier clusters predict later clusters. We included data on suicides and suicide attempts from New South Wales between July 2001 and June 2012 and Western Australia between January 2000 and December 2011. Suicide attempts included admissions to hospital for deliberate self‐harm and suicides were deaths due to deliberate self‐harm. We combined data on suicides and suicide attempts and grouped them into two equal time periods. We detected clusters in each period using Poisson discrete scan statistics adjusted for socio‐economic status. We estimated the predictive values of earlier clusters on later clusters. The results showed that clusters from earlier time period had a moderate power (36%) in predicting later clusters. During the later time period, some additional cluster areas (14%) were found and some earlier cluster areas subsided (64%). Historical clusters predict 36% of the subsequent clusters, which is probably not sufficient for targeting interventions. Our study highlights the need for other strategies to detect emerging clusters, for example, up‐to‐date data.     

How personality relates to intelligence test performance: Implications for a theory of intelligence,ageing research and personality assessment

Previously reported findings indicate that variation of EEG evoked potential parameters is strongly related to both personality and intelligence differences (Robinson, 1982a, b). These data and the associated theory imply that personality should relate to intelligence test performance. Results are described in this report which indicate that subtest profiles obtained with the Wechsler Adult Intelligence Scale (WAIS) differ significantly for Ss scoring highest and lowest on the Extraversion (E) scale of the Eysenck Personality Questionnaire (EPQ); introverts tend to do better on the ‘Verbal’ subtests while extraverts tend to do better on the ‘Performance’ measures. Ss with middling scores on the E scale of the EPQ can also be distinguished in terms of specific WAIS profiles. In this case the results define two contrasting groups. Young male Ss with middling E scores tend to have high Psychoticism (P) and low Lie (L) scores on the EPQ as well as having distinctive WAIS profiles characterized by higher scores on subtests normally associated with a ‘Memory’ or ‘Attention-Concentration’ factor. Higher scores were also obtained by this subgroup on the Picture Arrangement and Block Design subtests which were previously shown to load a P + /L ? factor. The converse is true for older female Ss who also have middling E scores. As well as demonstrating a systematic relationship between personality and intelligence test performance these data provide some further support for a model of brain-behaviour relationships proposed by Robinson. Within this theoretical framework a neurophysiologically meaningful explanation can be provided for the three major factors that reliably emerge in factor-analytic studies of the WAIS. From an applied viewpoint, the data indicate that personality differences can be assessed from performance on tests such as the WAIS. On this issue the results are discussed with particular reference to Gittinger's Personality Assessment System. Implications for ageing research are also discussed.