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Contains fulltext : 245998.pdf (Publisher’s version ) (Open Access) Objectives: Frailty marks an increased risk for adverse health outcomes. Since childhood trauma is associated with the onset of physical and mental health diseases during the lifespan, we examined the link between childhood trauma and multidimensional frailty. Method: A cross-sectional study embedded in a clinical cohort study (ROM-GPS) of older (>=60 years) patients (n=182) with a unipolar depressive-, anxiety- and/or somatic symptom disorder according to DSM-criteria referred to specialized geriatric mental health care. Frailty was assessed with the Tilburg Frailty Indicator (TFI), comprising a physical, psychological, and social dimension. Physical, sexual and psychological abuse and emotional neglect before the age of 16 years was measured with a structured interview. Results: Of 182 patients, 103 (56.6%) had experienced any childhood trauma and 154 (84.6%) were frail (TFI sum score >=5). Linear regression analyses, adjusted for lifestyle, psychological and physical-health factors, showed that the presence of any type of childhood trauma was not associated with the TFI sum score, however when considered separately, physical abuse was (ß=0.16, p=.037). Regarding the specific frailty dimensions, any childhood trauma was associated with social frailty (ß=0.18, p=.019), with emotional neglect as main contributor. Conclusion: These findings demonstrate a complex link between different types of childhood trauma and multidimensional frailty among older psychiatric patients. Regarding the three dimensions of frailty, social frailty seems most affected by childhood trauma. This may have been underestimated until now and should receive more attention in clinical care and future research. 7 p.

Objectives Assessing late-life anxiety using an instrument with sound psychometric properties including cross-cultural invariance is essential for cross-national aging research and clinical assessment. To date, no cross-national research studies have examined the psychometric properties of the frequently used Geriatric Anxiety Inventory (GAI) in depth. Method Using data from 3,731 older adults from 10 national samples (Australia, Brazil, Canada, The Netherlands, Norway, Portugal, Spain, Singapore, Thailand, and United States), this study used bifactor modeling to analyze the dimensionality of the GAI. We evaluated the “fitness” of individual items based on the explained common variance for each item across all nations. In addition, a multigroup confirmatory factor analysis was applied, testing for measurement invariance across the samples. Results Across samples, the presence of a strong G factor provides support that a general factor is of primary importance, rather than subfactors. That is, the data support a primarily unidimensional representation of the GAI, still acknowledging the presence of multidimensional factors. A GAI score in one of the countries would be directly comparable to a GAI score in any of the other countries tested, perhaps with the exception of Singapore. Discussion Although several items demonstrated relatively weak common variance with the general factor, the unidimensional structure remained strong even with these items retained. Thus, it is recommended that the GAI be administered using all items.