Dataset Information

Active coping shields against negative aging self-stereotypes contributing to psychiatric conditions.

ABSTRACT: RATIONALE:Psychiatric conditions are often falsely considered inherent to aging. We examined whether negative age stereotypes, which older individuals tend to assimilate from the environment across their lifespan, contributed to an increased risk of developing four psychiatric conditions, and, if so, whether this risk was reduced through active coping. METHOD:The sample consisted of participants aged 55 years and older, free of the psychiatric conditions at baseline, drawn from the National Health and Resilience in Veterans Study, a nationally representative sample. New cases of posttraumatic stress disorder, suicidal ideation, generalized anxiety disorder, and major depressive disorder were assessed during three waves spanning a four-year period. RESULTS:As predicted, participants holding more-negative age stereotypes were more likely to develop the psychiatric conditions, and their engagement in active coping reduced the risk of their developing these conditions. CONCLUSION:Our findings suggest that prevention and treatment efforts designed to reduce psychiatric conditions in later life may benefit from bolstering active coping as well as positive age stereotypes.

SUBMITTER: Levy BR

PROVIDER: S-EPMC7232846 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Active coping shields against negative aging self-stereotypes contributing to psychiatric conditions.

Levy Becca R BR Chung Pil H PH Slade Martin D MD Van Ness Peter H PH Pietrzak Robert H RH

Social science & medicine (1982) 20190302

<h4>Rationale</h4>Psychiatric conditions are often falsely considered inherent to aging. We examined whether negative age stereotypes, which older individuals tend to assimilate from the environment across their lifespan, contributed to an increased risk of developing four psychiatric conditions, and, if so, whether this risk was reduced through active coping.<h4>Method</h4>The sample consisted of participants aged 55 years and older, free of the psychiatric conditions at baseline, drawn from th ...[more]

PMID: 30870669

Similar Datasets

Project description:A growing body of literature acknowledges the association between negative stereotypes and individual components of active aging, but very few studies have tested this association, at both individual and population levels. The Stereotypes Content Model (SCM) states that the cultural aging stereotyping of higher warmth than competence (called paternalistic or ambivalent prejudice) is universal. Our aims in this study are to test the extent to which the universality of this stereotype is confirmed in European Countries as well as how far "positive", "negative" or "ambivalent" views towards older people, and other negative attitudes such as prejudice and behaviours such as discrimination, predict active aging assessed both at individual and population levels. We have analyzed data from the European Social Survey-2008 (ESS-2008), containing SCM stereotypical and other appraisal items (such as direct prejudice and perceived discrimination) about adults aged over-70 from 29 European countries. First, SCM cultural stereotypes about older adults ("friendly", "competent", and "ambivalent") were calculated; secondly, after developing a typology of countries based on their "negative", "ambivalent" and "positive" views about older adults, the universality of cultural stereotypes was tested; thirdly, taking into consideration ESS data of those older persons (over 70s) who self-reported indicators of active aging (health, happiness, satisfaction and social participation), multilevel analyses were performed, taking our inter-individual measure of active aging as dependent variable and our stereotypical classification (positive/negative/ambivalent), direct prejudice and perceived discrimination as predictors; finally, relationships between stereotypical and appraisal items on older adults were examined at population level with country data from Active Aging Indexes. Our results show cultural stereotypes about older people (more friendly than competent) are widespread in most European countries, and negative cultural views of older adults are negatively associated with active aging both at individual and population level, supporting that negative cultural views of older adults could be considered as a threat to active aging.

Project description:IntroductionGovernments across Europe want to promote healthy and active aging, as a matter of both public health and economic sustainability. Designing policies focused on the most vulnerable groups requires information at the individual level. However, a measure of healthy and active aging at the individual level does not yet exist.ObjectivesThis paper develops the Selfie Aging Index (SAI), an individual-level index of healthy and active aging. The SAI is developed thinking about a tool that would allow each person to take a selfie of her aging status. Therefore, it is based entirely on self-assessed indicators. This paper also illustrates how the SAI may look like in practice.MethodsThe SAI is based on the Biopsychosocial Assessment Model (MAB), a tool for the multidimensional assessment of older adults along three domains: biological, psychological, and social. Indicators are selected and their weights determined based on an ordered probit model that relates the MAB indicators to self-assessed health, which proxies healthy and active aging. The ordered probit model predicts the SAI based on the estimated parameters. Finally, predictions are rescaled to the 0-1 interval. Data for the SAI development come from the Study of the Aging Profiles of the Portuguese Population and the Survey of Health, Aging, and Retirement in Europe.ResultsThe selected indicators are BMI, having difficulties moving around indoors and performing the activities of daily living, feeling depressed, feeling nervous, lacking energy, time awareness score, marital status, having someone to confide in, education, type of job, exercise, and smoking status. The model also determines their weights.ConclusionResults shed light on various factors that contribute significantly to healthy and active aging. Two examples are mental health and exercise, which deserve more attention from individuals themselves, health-care professionals, and public health policy. The SAI has the potential to put the individual at the center of the healthy and active aging discussion, contribute to patient empowerment, and promote patient-centered care. It can become a useful instrument to monitor healthy and active aging for different actors, including individuals themselves, health-care professionals, and policy makers.

Project description:BackgroundNegative interpretation biases are thought to be core symptoms of mood and anxiety disorders. However, prior work using cognitive tasks to measure such biases is largely restricted to case-control group studies, which cannot be used for inference about individuals without considerable additional validation. Moreover, very few measures are fully translational (i.e., can be used across animals and humans in treatment-development pipelines). This investigation aimed to produce the first measure of negative cognitive biases that is both translational and sensitive to individual differences, and then to determine which specific self-reported psychiatric symptoms are related to bias.MethodsA total of 1060 (n = 990 complete) participants performed a cognitive task of negative bias along with psychiatric symptom questionnaires. We tested the hypothesis that individual levels of mood and anxiety disorder symptomatology would covary positively with negative bias on the cognitive task using a combination of computational modeling of behavior, confirmatory factor analysis, exploratory factor analysis, and structural equation modeling.ResultsParticipants with higher depression symptoms (β = -0.16, p = .017) who were older (β = -0.11, p = .001) and had lower IQ (β = 0.14, p < .001) showed greater negative bias. Confirmatory factor analysis and structural equation modeling suggested that no other psychiatric symptom (or transdiagnostic latent factor) covaried with task performance over and above the effect of depression, while exploratory factor analysis suggested combining depression/anxiety symptoms in a single latent factor. Generating groups using symptom cutoffs or latent mixture modeling recapitulated our prior case-control findings.ConclusionsThis measure, which uniquely spans both the clinical group-to-individual and preclinical animal-to-human generalizability gaps, can be used to measure individual differences in depression vulnerability for translational treatment-development pipelines.

Dataset Information

Active coping shields against negative aging self-stereotypes contributing to psychiatric conditions.

Publications

Active coping shields against negative aging self-stereotypes contributing to psychiatric conditions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets