A latent class analysis of social activities and health among community-dwelling older adults in Korea

2017 ◽  
Vol 22 (5) ◽  
pp. 625-630 ◽  
Author(s):  
Mi Jin Park ◽  
Nan Sook Park ◽  
David A. Chiriboga
Keyword(s):  
Older Adults ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Community Dwelling ◽  
Social Activities ◽  
Class Analysis ◽  
Community Dwelling Older Adults

scholarly journals Multidimensional dependency subgroups in community-dwelling older adults: A latent class analysis

2020 ◽  
Vol 52 (2) ◽  
pp. 101-109
Author(s):  
Kely Rely ◽  
Delfino Vargas-Chanes ◽  
Carmen García-Peña ◽  
Guillermo Salinas-Escudero ◽  
Luis-Miguel Gutiérrez-Robledo ◽  
...  
Keyword(s):  
Older Adults ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Community Dwelling ◽  
Future Research ◽  
Class Analysis ◽  
Class Membership ◽  
Fit Statistics ◽  
Nationally Representative ◽  
Using Data

Objectives: Use latent class analysis (LCA) to identify patterns of multidimensional dependency in a sample of older adults and assess sociodemographic, predictors of class membership. Material and methods: Longitudinal data were usedfrom the Mexican Health and Aging Study (MHAS). 7,920 older adults, 55% women, were recruited. LCA were used to identify meaningful subgroups. LCA was conducted using MPlus version. The final class model was chosen based on the comparison of multiple fit statistics and theoretical parsimony, with models of increasing complexity analyzed sequentially until the best fitting model was identified. Covariates were incorporated to explore the association between these variables and class membership. Results: Three classes groups based on the nine indicators were identified: “Active older adults” was comprised of 64% of the sample participants, “Relatively independent” and “Physically impaired” were comprised of 26% and 10% of the sample. The “Active older adults” profile comprised the majority of respondents who exhibited high endorsement rates across all criteria. The profiles of the “Active older adults” and “Relatively independent” were comparatively more uniform. Finally, respondents belonging to the “Physically impaired” profile, the smallest subgroup, encompassed the individuals most susceptible to a poor dependency profile. Conclusions: These findings highlighted the usefulness to adopt a person-centered approach rather than a variable-centered approach, suggesting directions for future research and tailored interventions approaches to older adults with particular characteristics. Based on patterns of multidimensional dependency, this study identified a typology of dependency using data from a large, nationally representative survey.

scholarly journals Profiles of Family and Friend Caregivers of Community-Dwelling People With Dementia: A Latent Class Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 59-59
Author(s):  
Eric Jutkowitz ◽  
Lauren Mitchell ◽  
Joseph Gaugler
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Disease Onset ◽  
Community Dwelling ◽  
Health And Retirement Study ◽  
Class Analysis ◽  
People With Dementia ◽  
The Hours ◽  
Retirement Study ◽  
Post Onset

Abstract People living with Alzheimer’s disease and related dementias (ADRD) receive most of their care from family/friends, but little is known about the organization of this care. We used data from the Health and Retirement Study and latent class analysis to determine variation in the hours of care received by community-dwelling people with ADRD from disease onset up to 6-years post onset. At incidence (n=1,158), the latent class analysis identified two groups of caregiving patterns. In the first group, 10% (n=109) of people with ADRD received 481 hours (SD=177) of care. Most care was provided by a spouse (411 hours) with less from children (28 hours), other family/friends (17 hours), and paid individuals (25 hours). In the second latent class, the remaining 90% (n=1,049) of people with ADRD received 114 hours (SD=202) of care which was distributed between spouses (12 hours), children (51 hours), other relatives/friends (22 hours), and paid individuals (29 hours). By 6-years post incidence, 7% (n=76) of the original ADRD cohort remained in the community, and we identified two latent classes independent of those identified at incidence. Almost 15% (n=11) of people with ADRD received a majority of care from a spouse (376 hours) with care supplemented by children (10 hours) and paid individuals (54 hours). The remaining 85% (n=65) of people with ADRD received 294 (SD=314) hours of care from spouses (13 hours), children (104 hours), other family/friends (83 hours), and paid individuals (67 hours). Policies/interventions supporting caregivers must account for the heterogeneity in the organization caregivers.

The Patterns of Caregiving Activities for Family Caregivers of Older Adults in Hong Kong: An Exploratory Latent Class Analysis

2020 ◽  
Author(s):  
Jing Huang ◽  
Pui Hing Chau ◽  
Edmond Pui Hang Choi ◽  
Bei Wu ◽  
Vivian W Q Lou
Keyword(s):  
Older Adults ◽  
Hong Kong ◽  
Activities Of Daily Living ◽  
Latent Class Analysis ◽  
Family Caregivers ◽  
Caregiver Burden ◽  
Daily Living ◽  
Latent Class ◽  
Class Analysis ◽  
High Demand

Abstract Objectives This study identified the classes (i.e., patterns) of caregivers’ activities, based on their engagements in caregiving activities, and explored the characteristics and the caregiver burden of these classes. Methods This study was a secondary analysis of a cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. A latent class analysis approach was adopted to classify family caregivers (N = 932) according to their routine involvements in 17 daily caregiving activities: 6 activities of daily living (ADLs) and 8 instrumental activities of daily living activities (IADLs) in addition to emotional support, decision making, and financial support. Multinomial logistic regression and multiple linear regression illuminated the characteristics of the classes and compared their levels of caregiver burden. Results The family caregivers fell into 5 classes: All-Round Care (High Demand, 19.5%), All-Round Care (Moderate Demand, 8.2%), Predominant IADLs Care (High Demand, 23.8%), Predominant IADLs Care (Moderate Demand, 32.5%), and Minimal ADLs and IADLs Care (Low Demand, 16.0%). These classes exhibited different characteristics in terms of care recipients’ cognitive statuses and caregiver backgrounds. The levels of caregiver burden differed across classes; the All-Round Care (High Demand) class experienced the highest levels of caregiver burden. Discussion This study contributes to existing scholarship by turning away from a predefined category of care tasks to explore the patterns of caregiving activities. By identifying caregiving activity patterns and understanding their associated characteristics and caregiver burden, prioritizing and targeting caregiver support interventions better is possible.

scholarly journals Using the Past to Predict the Future: Latent Class Analysis of Patterns of Health Service Use of Older Adults in the Emergency Department

2014 ◽  
Vol 62 (4) ◽  
pp. 711-715 ◽  
Author(s):  
S. Nicole Hastings ◽  
Heather E. Whitson ◽  
Richard Sloane ◽  
Lawrence R. Landerman ◽  
Carolyn Horney ◽  
...  
Keyword(s):  
Older Adults ◽  
Emergency Department ◽  
Health Service ◽  
Latent Class Analysis ◽  
Service Use ◽  
Latent Class ◽  
Health Service Use ◽  
Class Analysis ◽  
The Past ◽  
The Future

scholarly journals Oral health status in older adults with social security in Mexico City: latent class analysis

2014 ◽  
pp. e29-35 ◽  
Author(s):  
S. Sanchez-Garcia ◽  
E. Heredia-Ponce ◽  
P. Cruz-Hervert ◽  
T. Juarez-Cedillo ◽  
Á. Cardenas-Bahena ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Oral Health ◽  
Social Security ◽  
Latent Class Analysis ◽  
Mexico City ◽  
Latent Class ◽  
Oral Health Status ◽  
Class Analysis

scholarly journals Longitudinal relationships between subjective fatigue, cognitive function, and everyday functioning in old age

2012 ◽  
Vol 25 (2) ◽  
pp. 275-285 ◽  
Author(s):  
Feng Lin ◽  
Ding-Geng Chen ◽  
David E. Vance ◽  
Karlene K. Ball ◽  
Mark Mapstone
Keyword(s):  
Older Adults ◽  
Cognitive Function ◽  
Latent Class ◽  
Growth Mixture Modeling ◽  
Community Dwelling ◽  
Everyday Functioning ◽  
Subjective Fatigue ◽  
Community Dwelling Older Adults ◽  
Over Time

ABSTRACTBackground: The present study examined the prospective relationships between subjective fatigue, cognitive function, and everyday functioning.Methods: A cohort study with secondary data analysis was conducted using data from 2,781 community-dwelling older adults without dementia who were enrolled to participate in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) randomized intervention trial. Measures included demographic and health information at baseline, and annual assessments of subjective fatigue, cognitive function (i.e. speed of processing, memory, and reasoning), and everyday functioning (i.e. everyday speed and everyday problem-solving) over five years.Results: Four distinct classes of subjective fatigue were identified using growth mixture modeling: one group complaining fatigue “some of the time” at baseline but “most of the time” at five-year follow-up (increased fatigue), one complaining fatigue “a good bit of the time” constantly over time (persistent fatigue), one complaining fatigue “most of the time” at baseline but “some of the time” at five-year follow-up (decreased fatigue), and the fourth complaining fatigue “some of the time” constantly over time (persistent energy). All domains of cognitive function and everyday functioning declined significantly over five years; and the decline rates, but not the baseline levels, differed by the latent class of subjective fatigue. Except for the decreased fatigue class, there were different degrees of significant associations between the decline rates of subjective fatigue and all domains of cognitive function and everyday functioning in other classes of subjective fatigue.Conclusion: Future interventions should address subjective fatigue when managing cognitive and functional abilities in community-dwelling older adults.

A latent class analysis of health lifestyles and health outcomes among Chinese older adults

2020 ◽  
pp. 1-26
Author(s):  
Li Zhang
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Functional Independence ◽  
Theory Approach ◽  
Class Analysis ◽  
Chinese Older Adults ◽  
Health Lifestyles ◽  
Health Lifestyle

Abstract Prior analyses have repeatedly documented the association between individual health behaviours and health outcomes. Nonetheless, few studies have taken a health lifestyle theory approach to examine how health lifestyle behaviours have shaped Chinese older adults’ health status. Using the most recent 2011–2012 data released by the Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese older adults aged 65–105. Four distinct classes representing health lifestyles emerged. Furthermore, the research found the way in which the four classes representing older adults’ health lifestyles can be predicted by the respondent's demographic and socio-economic characteristics. In addition, health lifestyles were found to be strongly associated with Chinese older adults’ health outcomes which were measured by self-rated health, functional independence, cognitive function and chronic diseases, even after controlling for demographic features as well as individual and parental socio-economic disadvantage. Findings supported the cumulative disadvantage theory in health. The research highlighted the importance of promoting health lifestyles to improve older adults’ health outcomes.

Sign in / Sign up

Export Citation Format

Share Document