In the first study, we administered the 40-item Narcissistic Personality Inventory (NPI; Raskin & Terry, 1988) to 843 female and 843 male college students, most of whom were Euro-American, to comprehensively assess the NPI factor structure using confirmatory factor analysis. Initial exploratory common factor analyses (N = 724) revealed a 2-factor model (Leadership/Authority and Exhibitionism/Entitlement). Subsequently, we used confirmatory factor analysis in a separate sample (N = 724) to evaluate the Emmons (1987) 4-factor model, the Raskin and Terry (1988) 7-factor model, the Kubarych, Deary, and Austin (2004) 2- and 3-factor models, and our 2-factor model. Finally, we assessed construct validity by correlating the scale scores with the Five-factor model of personality in an independent sample (N = 238). The 2-factor models for the NPI we obtained in this study and by Kubarych et al. (2004) appeared to be the most parsimonious models, with both a good fit to the data and satisfactory internal consistency values; so they are recommended for use. However, additional NPI research is needed to rescale, modify, or omit several NPI items and develop gender-equivalent items.

The long-term course of readjustment problems in military personnel has not been evaluated in a nationally representative sample. The National Vietnam Veterans Longitudinal Study (NVVLS) is a congressionally mandated assessment of Vietnam veterans who underwent previous assessment in the National Vietnam Veterans Readjustment Study (NVVRS). OBJECTIVE To determine the prevalence, course, and comorbidities of war-zone posttraumatic stress disorder (PTSD) across a 25-year interval. DESIGN, SETTING, AND PARTICIPANTS The NVVLS survey consisted of a self-report health questionnaire (n = 1409), a computer-assisted telephone survey health interview (n = 1279), and a telephone clinical interview (n = 400) in a representative national sample of veterans who served in the Vietnam theater of operations (theater veterans) from

BackgroundIn conducting population-based surveys, it is important to thoroughly examine and adjust for potential non-response bias to improve the representativeness of the sample prior to conducting analyses of the data and reporting findings. This paper examines factors contributing to second stage survey non-response during the baseline data collection for the Millennium Cohort Family Study, a large longitudinal study of US service members and their spouses from all branches of the military.MethodsMultivariate logistic regression analysis was used to develop a comprehensive response propensity model.ResultsResults showed the majority of service member sociodemographic, military, and administrative variables were significantly associated with non-response, along with various health behaviours, mental health indices, and financial and social issues. However, effects were quite small for many factors, with a few demographic and survey administrative variables accounting for the most substantial variance.ConclusionsThe Millennium Cohort Family Study was impacted by a number of non-response factors that commonly affect survey research. In particular, recruitment of young, male, and minority populations, as well as junior ranking personnel, was challenging. Despite this, our results suggest the success of representative population sampling can be effectively augmented through targeted oversampling and recruitment, as well as a comprehensive survey weighting strategy.

This study sought to clarify the prospective and concurrent associations of posttraumatic stress disorder (PTSD) and pain with functioning and disability after burn injury. The sample was composed of consecutive patients admitted to a regional burn center with major burn injuries (N = 171) who were followed at 1, 6, 12, and 24 months postdischarge. The predictor measures were the McGill Pain Questionnaire and Davidson Trauma Scale, and the outcome measures were Short Form-36 Health Survey subscales administered at 6, 12, and 24 months after discharge. Linear mixed-effects analyses were conducted to evaluate pain and PTSD as predictors of functional outcomes. Higher PTSD symptom severity soon after hospital discharge was prospectively related to poorer physical and social functioning and greater psychosocial disability (P < .001). However, significant PTSD-by-time interactions also predicted future physical functioning and disability, indicating that the deleterious effects of early PTSD were ameliorated by time. In addition, at each follow-up, PTSD symptoms were concurrently related to greater physical and psychosocial disability, poorer social functioning, and less vitality (P < .001). More severe pain at each follow-up, but not PTSD, was correlated with poorer concurrent physical functioning (P < .002). Significant interaction terms indicated that the concurrent effect of PTSD on psychosocial disability, social functioning, and vitality attenuated during the 24-month recovery period. These findings suggest that assessing PTSD and pain following burn injury may aid in predicting future functioning. Future work should confirm this and evaluate whether aggressively treating both PTSD and pain helps improve functioning after major burn injury.