Development of the Brief Ageing Perceptions Questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction.

BACKGROUND: This paper aimed to develop a short version of the 32-item Ageing Perceptions Questionnaire (APQ), a multi-dimensional measure based on Leventhal\u27s self-regulation model. Ageing perceptions are a key area of interest for large-scale surveys of ageing populations. As these studies capture a broad range of health and social variables, included instruments need to be as concise as possible. METHODS: Data from the Irish Longitudinal Study of Ageing (TILDA), a representative sample of community-dwelling individuals aged 50+ (n = 6,718), was used to revise the scale. Items for exclusion were identified by examining conceptual content, descriptive statistics, and by detecting sources of poor model fit using confirmatory factor analysis (CFA). Potential combinations of dimensions were also tested using CFA. Finally, we identified any dimensions that could be excluded without limiting the conceptual coverage and coherence of the scale. Model modifications were done sequentially and with regard to theoretical considerations. Internal consistency and construct validity of the concise scale were compared with the longer version. RESULTS: Initially, 11 items were excluded on the basis of conceptual and empirical overlap with other items. CFA indicated that the negative-control and negative-consequences dimensions could be combined, allowing us to exclude a further item from this dimension. The 5-item timeline-cyclical dimension was also excluded, as it was less well-established conceptually and empirically than the other dimensions. The final 17-item, 5-dimension model was consistent with the original conceptual model and fit the data well (chi-sq = 1433.54, df(109), p CONCLUSIONS: The Brief-APQ (B-APQ) is a concise, multi-dimensional measure of ageing perceptions, which is psychometrically valid for use with the Irish population aged 50+. The concise version preserved the internal consistency and construct validity of the original. Its brevity makes it particularly suitable for use with large-scale adult population surveys. The psychometric analysis supports the application of the self-regulation model to ageing perceptions, but also the existence of distinct \u22physical decline\u22 and \u22ongoing development\u22 dimensions of perceptions

Testing the Assumption of Measurement Invariance in the SAMHSA Mental Health and Alcohol Abuse Stigma Assessment in Older Adults

This study examined the assumption of measurement invariance of the SAMSHA Mental Health and Alcohol Abuse Stigma Assessment. This is necessary to make valid comparisons across time and groups. The data come from the Primary Care Research in Substance Abuse and Mental Health for Elderly trial, a longitudinal multisite, randomized trial examining two modes of care (Referral and Integrated). A sample of 1,198 adults over the age of 65 who screened positive for depression, anxiety, and/or at-risk drinking was used. Structural equation modeling was used to assess measurement invariance in a two-factor measurement model (Perceived Stigma, Comfort Level). Irrespective of their stigma level, one bias indicated that with time, respondents find it easier to acknowledge that it is difficult to start treatment if others know they are in treatment. Other biases indicated that sex, mental quality of life and the subject of stigma had undue influence on respondents' feeling people would think differently of them if they received treatment and on respondents' comfort in talking to a mental health provider. Still, in the present study, these biases in response behavior had little effect on the evaluation of group differences and changes in stigma. Stigma decreased for patients of both the Referral and Integrated care group

Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients

To illustrate how structural equation modeling (SEM) can be used for response shift detection with random measurement occasions and health state operationalized as fixed group membership (Study 1) or with fixed measurement occasions and health state operationalized as time-varying covariates (Study 2). In Study 1, we explored seven items of the Performance Scales measuring physical and mental aspects of perceived disability of 771 stable, 629 progressive, and 1,552 relapsing MS patients. Time lags between the three measurements varied and were accounted for by introducing time since diagnosis as an exogenous variable. In Study 2, we considered the SF-12 scales measuring physical and mental components of HRQoL of 1,767 patients. Health state was accounted for by exogenous variables relapse (yes/no) and symptoms (worse/same/better). In Study 1, progressive and relapsing patients reported greater disability than stable patients but little longitudinal change. Some response shift was found with stable and relapsing patients. In Study 2, relapse and symptoms were associated with HRQoL, but no change and only little response shift was found. While small response shifts were found, they had little impact on the evaluation of true change in performance and HRQo

Negative perceptions of aging and decline in walking speed: A self-fulfilling prophecy

Introduction Walking speed is a meaningful marker of physical function in the aging population. While it is a primarily physical measure, experimental studies have shown that merely priming older adults with negative stereotypes about aging results in immediate declines in objective walking speed. What is not clear is whether this is a temporary experimental effect or whether negative aging stereotypes have detrimental effects on long term objective health. We sought to explore the association between baseline negative perceptions of aging in the general population and objective walking speed 2 years later. Method 4,803 participations were assessed over 2 waves of The Irish Longitudinal Study on Ageing (TILDA), a prospective, population representative study of adults aged 50+ in the Republic of Ireland. Wave 1 measures – which included the Aging Perceptions Questionnaire, walking speed and all covariates - were taken between 2009 and 2011. Wave 2 measures – which included a second measurement of walking speed and covariates - were collected 2 years later between March and December 2012. Walking speed was measured as the number of seconds to complete the Timed Up-And-Go (TUG) task. Participations with a history of stroke, Parkinson’s disease or an MMSE < 18 were excluded. Results After full adjustment for all covariates (age, gender, level of education, disability, chronic conditions, medications, global cognition and baseline TUG) negative perceptions of aging at baseline were associated with slower TUG speed 2 years later (B=.03, 95% CI = .01 to 05, p< .01). Conclusions Walking speed has previously been considered to be a consequence of physical decline but these results highlight the direct role of psychological state in predicting an objective aging outcome. Negative perceptions about aging are a potentially modifiable risk factor of some elements of physical decline in aging

Trading years for perfect health: results from the health and retirement study

To evaluate the preferences of an ethnically diverse national sample of older Americans regarding length of life versus health quality. A time trade-off task administered as part of the 2002 wave of the Health and Retirement Study. Respondents equated 6.86 (SD = 3.46) years of perfect health with 10 years of life in imperfect health. Women and those who ranked their health less favorably were more likely to give up years of life for perfect health. Relative to Whites, Blacks were more willing to live longer in imperfect health. Those of lower levels of education were more likely to prefer 10 years of life in imperfect health. There is wide variability in responses to the time trade-off task that is partially associated with self-rated health, gender, ethnicity, and educatio

Comparison of procedures used to test measurement invariance in longitudinal factor analysis

In this paper we hope to further advance the use of structural equation modelling to test longitudinal measurement invariance. To achieve this we discuss two different procedures to test invariance. We illustrate the differences by applying both procedures to an example of longitudinal data from lung cancer patients. One procedure relies on the modification indices (MI) and expected parameter changes (EPC) to assess the tenability of the equality constraints imposed on parameters across two measurement occasions. However, as Saris, Satorra and Van der Veld (2009) have suggested that this procedure can be improved upon by taking the power of the MI into account, our first procedure will include MI, EPC, and power. In the second procedure, we rely on global tests and standardised observed parameter changes (SOPC) rather than expected changes. Both procedures guard against chance findings, though they do so in very different ways that can lead to different results