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Objective: There is a growing interest in how people living with dementia may achieve good outcomes and be resilient despite their health challenges. Understanding what might be important for resilience in this population is largely untested theory.Methods: The analysis draws a subsample with cognitive impairment (N = 579) from two waves of the Cognitive Function and Ageing Studies Wales study, a nationally representative study of community-dwelling people aged 65+ in Wales. We constructed a measure of mental health resilience (MHR) defined as no depression, no anxiety and high well-being. Drawing on a resilience framework, we tested univariate and cumulative effects models of the factors that enable MHR, and then examined whether MHR is important for reducing loneliness over time.Results: Across both waves of data 22% (n = 121) met the criteria for MHR. The cumulative effects model found the odds of MHR were greater for male gender, higher self-esteem, greater social resources and no subjective memory complaints. Controlling for these significant predictors, MHR significantly predicted lower total and sub-scale scores for loneliness at wave 2. Sensitivity analysis shows these effects held at lower levels of cognitive function when the Mini-Mental State Examination score was <25, but not at <23.Conclusions: This paper addresses a gap in research regarding the conceptualisation and measurement of resilience when facing cognitive impairment. Understanding what aspects of a person's life might enable good mental health despite cognitive impairment-to be resilient-could inform effective strategies for friends and families, along with health, and social policy and practice. [ABSTRACT FROM AUTHOR]

Objectives: The original 24-item Attitudes to Aging Questionnaire (AAQ) is well established as a measure of attitudes to aging, comprising domains of psychosocial loss (PL), physical change (PC), and psychological growth (PG). This paper presents a new 12-item short form Attitudes to Aging Questionnaire (AAQ-SF).Methods: The original field trial data used to develop the 24-item AAQ (AAQ-24) were used to compare 6-item, 9-item, and 12-item versions of AAQ-SF (sample 1, n = 2487) and to test the discriminative validity of the selected 12-item AAQ-SF (sample 2, n = 2488). Data from a separate study reporting on the AAQ-24 (sample 3, n = 792) verified the analyses.Results: The 12-item AAQ-SF reported adequate internal consistency in both sample 1 (PL α = .72, PC α = .72, and PG α = .62) and sample 3 (PL α = .68, PC α = .73, and PG α = .61). The AAQ-SF functioned consistently with the profile of the AAQ-24 in that subscales in both formats of this measure discriminate between respondents on key parameters such as depression, subjective health status, and overall quality of life in sample 2. Sample 3 also demonstrated the AAQ-SF can detect the differences in attitudes toward aging between individuals experiencing anxiety and depression and those without psychological symptoms. Confirmatory factor analysis confirmed that the structure of the AAQ-SF mirrors that of the original 24-item AAQ.Conclusions: The AAQ-SF is a robust measure of attitudes toward aging, which can reduce respondent burden when used within longer questionnaire batteries or longitudinal research. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]