THE SOCIAL DETERMINANTS OF ACTIVITY PATTERN AMONG OLDER ADULTS: A LATENT PROFILE ANALYSIS ON TIME USE DATA

There are many different ways that people can express their support for the animals that exist in factory farms. This study draws on insights from the social identity approach, and adopts novel methods (latent profile analysis [LPA]) to examine the qualitatively different subgroups or profiles that comprise broader community positions on this issue. North American participants ( N = 578) completed measures of the frequency with which they engaged in 18 different animal welfare actions. LPA identified 3 meaningful profiles: ambivalent omnivores ( n = 410; people who occasionally limited their consumption of meat/animal products), a lifestyle activist group ( n = 134; limited their consumption of animal/meat products and engaged in political actions), and a vegetarian radical group ( n = 34; strictly limited their consumption of animal/meat products and engaged in both political and radical actions). Membership of the 3 populations was predicted by different balances of social identities (supporter of animal welfare, vegan/vegetarian, solidarity with animals), and markers of politicization and/or radicalization. Results reveal the utility of adopting person-centred methods to study political engagement and extremism generally, and highlight heterogeneity in the ways that people respond to the harms perpetrated against animals.

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First-Year Students’ Time Use in College: A Latent Profile Analysis

Research in Higher Education ◽

10.1007/s11162-018-9497-z ◽

2018 ◽

Vol 59 (7) ◽

pp. 958-978 ◽

Cited By ~ 11

Author(s):

Kevin Fosnacht ◽

Alexander C. McCormick ◽

Rosemarie Lerma

Keyword(s):

Time Use ◽

Latent Profile Analysis ◽

Profile Analysis ◽

First Year ◽

First Year Students ◽

Latent Profile

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Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers

International Journal of Obesity ◽

10.1038/s41366-019-0419-8 ◽

2019 ◽

Vol 44 (2) ◽

pp. 409-417 ◽

Cited By ~ 6

Author(s):

Nidhi Gupta ◽

David M. Hallman ◽

Dorothea Dumuid ◽

Akshay Vij ◽

Charlotte Lund Rasmussen ◽

...

Keyword(s):

Time Use ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Movement Behavior ◽

Behavior Profiles ◽

Latent Profile

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

Innovation in Aging ◽

10.1093/geroni/igab046.778 ◽

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.

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

Innovation in Aging ◽

10.1093/geroni/igz038.2347 ◽

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

Innovation in Aging ◽

10.1093/geroni/igz038.590 ◽

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.

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Latent profile analysis of self‐perceptions of ageing among Chinese community‐dwelling older adults

Psychogeriatrics ◽

10.1111/psyg.12774 ◽

2021 ◽

Author(s):

Gui‐Ying Yao ◽

Yan‐Yan Luo ◽

Bo Zhu ◽

Hui‐Min Wu ◽

Kai‐Li Liu

Keyword(s):

Older Adults ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Community Dwelling ◽

Chinese Community ◽

Self Perceptions ◽

Community Dwelling Older Adults ◽

Latent Profile

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Age-Friendly Communities and Aging in Place: Findings From Latent Profile Analysis

Innovation in Aging ◽

10.1093/geroni/igab046.2136 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 559-560

Author(s):

Seon Kim ◽

Kyeongmo Kim ◽

Junpyo Kim

Keyword(s):

Older Adults ◽

Successful Aging ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Multinomial Logistic Regression ◽

Aging In Place ◽

Community Or ◽

Current Residence ◽

The Cost ◽

Latent Profile

Abstract Older adults prefer to live in their current home or community and ‘Aging in place’ has been shown to reduce the cost of caring for older adults and help their successful aging. Although age-friendly communities (AFC) initiatives have been helpful to aging in place, little has been known about the relationship between the types of AFC and aging in place. Using the 2017 AARP Age-Friendly Community Survey, we included 1,079 adults aged 65 or older. We measured aging in place as ‘move to a different community’, ‘move into a different residence within your current community’, and ‘stay in your current residence’, and included eight AFC constructs. We identified the type of AFC using Latent Profile Analysis: low-friendly, mid-friendly, and high-friendly. We also ran multinomial logistic regression to examine whether the types of AFC were associated with aging in place. Of the total participants, 26.0% lived in the low-friendly community, 23.7% in the mid-friendly community, and 50.3% in the high-friendly community. Older adults living in the high-friendly community were more likely to stay in the current residence (64.7%) than those in the low-friendly (47.1%) (χ2=28.680, p<.001). Also, older adults living in the low-friendly community (OR=3.05, p<.001) and the mid-friendly community (OR=1.42, p<.10) were more likely to move to a different community compared to those living in the high-friendly community. This result suggests that it is important to build an AFC to promote aging in place. For the growing number of older adults' lives, policymakers should consider expanding the AFC initiatives.

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