scholarly journals LATENT PROFILE ANALYSIS OF ANXIETY, DEPRESSION, ANGER, AND ADHD IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S165-S165
Author(s):  
Sarah M Israel ◽  
Erica Szkody ◽  
Michael R Nadorff ◽  
Daniel L Segal
Keyword(s):  
Older Adults ◽  
Emotion Regulation ◽  
Executive Function ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Age Groups ◽  
Brain Regions ◽  
Older Age ◽  
Anxiety Depression ◽  
Latent Profile

Abstract Older adults are generally happier, less likely to have depression or anxiety, and have better emotion regulation abilities than earlier in life. While older age predicts more hostile beliefs about others, older adults report less hostile behavior and no difference in covert hostility, compared to other age groups. However, brain regions associated with executive function and emotion regulation are impacted by even normal aging. Using latent profile analysis (LPA) we aimed to better understand what factors contribute to a dysregulated profile in older adults and how age altered the dysregulation profile. The current archival study includes data from 518 older adults between the ages of 60 and 95 years (M = 70.73, SD = 7.34). Participants completed the Coolidge Axis II Inventory (CATI) database. The CATI is a 250-item psychopathology and neuropsychological inventory that assesses over 40 clinical and neuropsychological disorders utilizing official DSM-5 criteria. A Dysregulated Profile was identified using an LPA of diagnosis subscales (i.e., Anxiety, Depression, Anger, and ADHD) that have been previously associated with dysregulation in children and young adults. Results demonstrated that female participants reported more ADHD symptoms (more impairment in executive function) than men. Furthermore, the dysregulated profile (high on all subscales) and age interacted such that, as age increased, scores on the Depression and Anger subscales decreased. No significant differences were found for any other interactions. Our findings are consistent with existing literature. Even in the dysregulated profile, participants reported less anger and depression with older age.

scholarly journals Paranormal Experience Profiles and Their Association With Variations in Executive Functions: A Latent Profile Analysis

2022 ◽  
Vol 12 ◽  
Author(s):  
Kenneth Graham Drinkwater ◽  
Neil Dagnall ◽  
Andrew Denovan ◽  
Andrew Parker ◽  
Álex Escolà-Gascón
Keyword(s):  
Decision Making ◽  
Emotion Regulation ◽  
Executive Function ◽  
Executive Functions ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Self Report ◽  
Everyday Memory ◽  
Paranormal Experience ◽  
Latent Profile

This study investigated relationships between inter-class variations in paranormal experience and executive functions. A sample of 516 adults completed self-report measures assessing personal encounter-based paranormal occurrences (i.e., Experience, Practitioner Visiting, and Ability), executive functions (i.e., General Executive Function, Working and Everyday Memory, and Decision Making) together with Emotion Regulation and Belief in the Paranormal. Paranormal belief served as a measure of convergent validity for experience-based phenomena. Latent profile analysis (LPA) combined experience-based indices into four classes based on sample subpopulation scores. Multivariate analysis of variance (MANOVA) then examined interclass differences. Results revealed that breadth of paranormal experience was associated with higher levels of executive functioning difficulties for General Executive Function, Working Memory, Decision Making, and Belief in the Paranormal. On the Everyday Memory Questionnaire, scores differed on Attention Tracking (focus loss) and Factor 3 (visual reconstruction), but not Retrieval (distinct memory failure). In the case of the Emotion Regulation Scale, class scores varied on Expressive Suppression (control), however, no difference was evident on Cognitive Reappraisal (reframing). Overall, inter-class comparisons identified subtle differences in executive functions related to experience. Since the present study was exploratory, sampled only a limited subset of executive functions, and used subjective, self-report measures, further research is necessary to confirm these outcomes. This should employ objective tests and include a broader range of executive functions.

Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Latent Profile Analysis ◽  
Physical Activity Intervention ◽  
Profile Analysis ◽  
Intervention Trial ◽  
Web Based ◽  
Health Related ◽  
Latent Profile

Heterogeneity in emotion regulation difficulties among women victims of domestic violence: A latent profile analysis

2018 ◽  
Vol 239 ◽  
pp. 192-200 ◽  
Author(s):  
Nicole H. Weiss ◽  
Angela G. Darosh ◽  
Ateka A. Contractor ◽  
Shannon R. Forkus ◽  
Katherine L. Dixon-Gordon ◽  
...  
Keyword(s):  
Domestic Violence ◽  
Emotion Regulation ◽  
Women Victims ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Latent Profile

scholarly journals Toward a Multidimensional Understanding of Later Life Disability: A Latent Profile Analysis

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 203-204
Author(s):  
Natasha Peterson ◽  
Jeongeun Lee ◽  
Eva Kahana
Keyword(s):  
Older Adults ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Physical Impairment ◽  
Sensory Impairment ◽  
Class Membership ◽  
Participation Restrictions ◽  
Latent Profile

Abstract Disability is difficult to define succinctly. Current literature on disability has primarily focused on physical functional limitations. However, relying on a single dimension or index cannot accurately represent disability as the experience of disability is nuanced and complex. To address these gaps, this study aims to understand the multidimensional nature of disability among retired, community-dwelling older adults. Using a sample of 414 older adults between the ages of 72 and 106 years (M=84.84, SD=4.56), latent profile analysis was employed to identify classes based on five indicators of disability across three domains. The five indicators of disability included difficulties with activities of daily living (ADLs), cognitive impairment, physical impairment, sensory impairment, and participation restrictions. Three classes were found to represent the data best. The most favorable and highly functioning group comprised the highest number of participants (n=242, 59.5%). The next group, class 2 (n=157, 37.9%), was characterized by high physical impairment and ADL-difficulty. The smallest group, class 3 (n=15, 3.6%), had the highest ADL-difficulty and participation restrictions but drastically lower cognitive and sensory impairment. Multinomial logistic regression revealed that class membership was related to sociodemographic characteristics. Finally, class membership predicted several mental health outcomes such as depressive symptoms, positive affect, and life satisfaction in the expected direction. If supported by future work, these findings could inform practitioners in developing more specific interventions relevant to older adults based on their disability profiles. Understanding various combinations of disablement has potential implications for services and interventions to be tailored to individuals’ distinct disability-related needs.

scholarly journals GRIEF EXPERIENCE PATTERNS AMONG OLDER ADULTS IN RURAL CHINA: A LATENT PROFILE ANALYSIS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S630-S630
Author(s):  
Haimin Pan
Keyword(s):  
Higher Education ◽  
Older Adults ◽  
Physical Functioning ◽  
Rural Areas ◽  
Meaning In Life ◽  
Latent Profile Analysis ◽  
Meaning Making ◽  
Profile Analysis ◽  
Rural China ◽  
Latent Profile

Abstract Grief experiences among older adults in China are understudied, though a variety of negative bereavement outcomes have been delineated. The present work sought to explore grief patterns among Chinese older people in rural areas, as well as the factors influencing the bereavement results. Participants were 352 older residents who responded to a face-to-face interview and lived in rural areas in Zhejiang Province of China. Latent profile analysis (LPA) was used to identify subtypes of class membership in combing complicated grief (CG), depression, anxiety, and meaning in life. Afterwards, these subgroups were compared on demographic characteristics and meaning making variable. The LPA model best fitting the data was a three-class solution comprised of “adaptive” (n=235; 66.8% of the sample), “moderate maladaptive” (n=83; 23.6% of the sample), and “severe maladaptive” groups (n=34; 9.7% of the sample). Compared to the “severe maladaptive” group, participants in the “adaptive” group had better physical functioning, higher education and incomes levels, and less meaning making engagement, while participants in the “moderate maladaptive” group had longer bereavement duration, better physical functioning, and less meaning making activities. Relative to the “moderate maladaptive” group, participants who were adaptive to the loss possessed longer bereavement duration better physical functioning, higher education and incomes levels, and less meaning making engagement. Findings suggest three distinct patterns of bereavement outcomes among Chinese older adults. Multiple factors impacting the results were taken into consideration. Future replication is necessary to validate these subgroups, and professional services should be provided to bereaved older Chinese in need.

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