Five-factor model personality traits in opioid dependence

<p>Abstract</p> <p>Background</p> <p>Personality traits may form a part of the aetiology of opioid dependence. For instance, opioid dependence may result from self-medication in emotionally unstable individuals, or from experimenting with drugs in sensation seekers. The five factor model (FFM) has obtained a central position in contemporary personality trait theory. The five factors are: Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness. Few studies have examined whether there is a distinct personality pattern associated with opioid dependence.</p> <p>Methods</p> <p>We compared FFM personality traits in 65 opioid dependent persons (mean age 27 years, 34% females) in outpatient counselling after a minimum of 5 weeks in buprenorphine replacement therapy, with those in a non-clinical, age- and sex-matched sample selected from a national database. Personality traits were assessed by a Norwegian version of the Revised NEO Personality Inventory (NEO PI-R), a 240-item self-report questionnaire. Cohen's d effect sizes were calculated for the differences in personality trait scores.</p> <p>Results</p> <p>The opioid-dependent sample scored higher on Neuroticism, lower on Extraversion and lower on Conscientiousness (d = -1.7, 1.2 and 1.7, respectively) than the controls. Effects sizes were small for the difference between the groups in Openness to experience scores and Agreeableness scores.</p> <p>Conclusion</p> <p>We found differences of medium and large effect sizes between the opioid dependent group and the matched comparison group, suggesting that the personality traits of people with opioid dependence are in fact different from those of non-clinical peers.</p

Applying an extended theoretical framework for data collection mode to health services research

<p>Abstract</p> <p>Background</p> <p>Over the last 30 years options for collecting self-reported data in health surveys and questionnaires have increased with technological advances. However, mode of data collection such as face-to-face interview or telephone interview can affect how individuals respond to questionnaires. This paper adapts a framework for understanding mode effects on response quality and applies it to a health research context.</p> <p>Discussion</p> <p>Data collection modes are distinguished by key features (whether the survey is self- or interviewer-administered, whether or not it is conducted by telephone, whether or not it is computerised, whether it is presented visually or aurally). Psychological appraisal of the survey request will initially entail factors such as the cognitive burden upon the respondent as well as more general considerations about participation. Subsequent psychological response processes will further determine how features of the data collection mode impact upon the quality of response provided. Additional antecedent factors which may further interact with the response generation process are also discussed. These include features of the construct being measured such as sensitivity, and of the respondent themselves (e.g. their socio-demographic characteristics). How features of this framework relate to health research is illustrated by example.</p> <p>Summary</p> <p>Mode features can affect response quality. Much existing evidence has a broad social sciences research base but is of importance to health research. Approaches to managing mode feature effects are discussed. Greater consideration must be given to how features of different data collection approaches affect response from participants in studies. Study reports should better clarify such features rather than rely upon global descriptions of data collection mode.</p

Traumatic events, other operational stressors and physical and mental health reported by Australian Defence Force personnel following peacekeeping and war-like deployments

Background: The association between stressful events on warlike deployments and subsequent mental health problems has been established. Less is known about the effects of stressful events on peacekeeping deployments. Methods: Two cross sectional studies of the Australian Defence Force were used to contrast the prevalence of exposures reported by a group deployed on a peacekeeping operation (Bougainville, n=1704) and those reported by a group deployed on operations which included warlike and non-warlike exposures (East Timor, n=1333). A principal components analysis was used to identify groupings of non-traumatic exposures on deployment. Multiple regression models were used to assess the association between self-reported objective and subjective exposures, stressors on deployment and subsequent physical and mental health outcomes. Results: The principal components analysis produced four groups of non-traumatic stressors which were consistent between the peacekeeping and more warlike deployments. These were labelled ‘separation’, ‘different culture’, ‘other people’ and ‘work frustration’. Higher levels of traumatic and non-traumatic exposures were reported by veterans of East Timor compared to Bougainville. Higher levels of subjective traumatic exposures were associated with increased rates of PTSD in East Timor veterans and more physical and psychological health symptoms in both deployed groups. In Bougainville and East Timor veterans some non-traumatic deployment stressors were also associated with worse health outcomes. Conclusion: Strategies to best prepare, identify and treat those exposed to traumatic events and other stressors on deployment should be considered for Defence personnel deployed on both warlike and peacekeeping operations.Michael Waller, Susan A Treloar, Malcolm R Sim, Alexander C McFarlane, Annabel C L McGuire, Jonathan Bleier and Annette J Dobso

Who Looks Forward to Better Health? Personality Factors and Future Self-Rated Health in the Context of Chronic Illness

Background: Self-rated health (SRH) is an important predictor of objective health-related outcomes that, according to the Cognitive Process Model of SRH, is influenced by contextual factors (symptoms and personality). Although research indicates that personality contours SRH, less attention has been given to understanding the contributions of personality to future self-rated health (FSRH) or the contextual factors that play a role in shaping these effects. Purpose: The aim of the present study was to extend the theory and research on FSRH by exploring the contributions of personality, current SRH, and fatigue to FSRH in the context of chronic illness, and to test the potential mediating role of optimism for explaining these effects. Method: Two chronic illness samples (arthritis, N = 365, and inflammatory bowel disease, IBD; N = 290) completed identical surveys. A hierarchical regression model with age, education, and current health, and fatigue entered in the first two steps and traits entered in the last step, tested the effects of personality on FSRH. Mediation analyses controlling for contextual variables tested the explanatory role of optimism. Results: Fatigue was a significant contributor to FSRH accounting for 11 % of the variance in the arthritis sample and 17 % in the IBD sample over the demographic variables. Both Agreeableness and Neuroticism accounted for additional significant but modest variance in FSRH (4 %); Agreeableness was associated with higher FSRH, whereas Neuroticism was associated with lower FSRH. For both traits, optimism fully explained the associations with FSRH. Conclusion: After accounting for the influence of fatigue and other variables, the contributions of high Agreeableness and low Neuroticism to FSRH are modest in the context of chronic illness, and these associations may be explained by optimism