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 Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12374
Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Large Distribution ◽  
Latent Profile

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex (p < 0.001), age (p < 0.001), and regular medication intake (p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels (p < 0.001) and low loneliness levels (p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life (p < 0.001) as well as mental health (p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

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

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&lt;.001). Also, older adults living in the low-friendly community (OR=3.05, p&lt;.001) and the mid-friendly community (OR=1.42, p&lt;.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.

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

scholarly journals Latent profile analysis of dietary intake in a community-dwelling sample of older Americans

2019 ◽  
Vol 23 (2) ◽  
pp. 243-253 ◽  
Author(s):  
Nicholas J Bishop ◽  
Krystle E Zuniga ◽  
Christina M Ramirez
Keyword(s):  
Health Outcomes ◽  
Dietary Intake ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Secondary Analysis ◽  
Community Dwelling ◽  
Economic Resources ◽  
Food Groups ◽  
Older Americans ◽  
Latent Profile

AbstractObjective:To estimate latent dietary profiles in a community-dwelling sample of older Americans and identify associations between dietary profile membership and individual demographic, socio-economic and health characteristics.Design:Secondary analysis of the 2012 Health and Retirement Study (HRS) and linked 2013 Health Care and Nutrition Study (HCNS). Latent profile analysis identified mutually exclusive subgroups of dietary intake and bivariate analyses examined associations between dietary profile membership, participant characteristics and nutrient intakes.Setting:USA.Participants:An analytic sample of 3558 adults aged 65 years or older.Results:Four dietary profiles were identified with 15·5 % of the sample having a ‘Healthy’ diet, 42·0 % consuming a ‘Western’ diet, 29·7 % having a diet consisting of high intake of all food groups and 12·7 % reporting relatively low intake of all food groups. Members of the ‘Healthy’ profile reported the greatest socio-economic resources and health, and members of the ‘Low Intake’ profile had the fewest resources and worst health outcomes. Macronutrient and micronutrient intakes varied across profile although inadequate and excessive intakes of selected nutrients were observed for all profiles.Conclusions:We identified dietary patterns among older Americans typified by either selective intake of foods or overall quantity of foods consumed, with those described as ‘Low Intake’ reporting the fewest socio-economic resources, greatest risk of food insecurity and the worst health outcomes. Limitations including the presence of measurement error in dietary questionnaires are discussed. The causes and consequences of limited dietary intake among older Americans require further study and can be facilitated by the HRS and HCNS.

scholarly journals Sources of COVID-19-Related Information in People with Various Levels of Risk Perception and Preventive Behaviors in Taiwan: A Latent Profile Analysis

2021 ◽  
Vol 18 (4) ◽  
pp. 2091
Author(s):  
Peng-Wei Wang ◽  
Yi-Lung Chen ◽  
Yu-Ping Chang ◽  
Chia-Fen Wu ◽  
Wei-Hsin Lu ◽  
...  
Keyword(s):  
Risk Perception ◽  
Online Survey ◽  
Latent Profile Analysis ◽  
Latent Class ◽  
Information Sources ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Preventive Behaviors ◽  
Related Information ◽  
Latent Profile

The present study aimed to identify the distinct levels of risk perception and preventive behaviors during the coronavirus disease 2019 (COVID-19) outbreak among people in Taiwan and to examine the roles of information sources in various levels of risk perception and preventive behavior. The online survey recruited 1984 participants through a Facebook advertisement. Their self-reported risk perception, adopted preventive behaviors and COVID-19-related information were collected. We analyzed individuals’ risk perception and adopted preventive behaviors by using latent profile analysis and conducted multinomial logistic regression of latent class membership on COVID-19-related information sources. Four latent classes were identified, including the risk neutrals with high preventive behaviors, the risk exaggerators with high preventive behaviors, the risk deniers with moderate preventive behaviors, and the risk deniers with low preventive behaviors. Compared with the risk neutrals, the risk exaggerators with high preventive behaviors were more likely to obtain COVID-19 information from multiple sources, whereas the risk deniers with moderate preventive behaviors and risk deniers with low preventive behaviors were less likely to obtain COVID-19 information compared with the risk neutrals. Governments and health professions should take the variety of risk perception and adopted preventive behaviors into consideration when disseminating information on COVID-19 to the general public.

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.

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.

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