Health status profiles in community-dwelling elderly using self-reported health indicators: a latent class analysis

2014 ◽  
Vol 23 (10) ◽  
pp. 2889-2898 ◽  
Author(s):  
Charis W. L. Ng ◽  
Nan Luo ◽  
Bee Hoon Heng
Keyword(s):  
Health Status ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Health Indicators ◽  
Community Dwelling ◽  
Class Analysis ◽  
Reported Health

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.

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 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.

Patterns of geriatric health assessment use among community dwelling older Australian women over a 14-year period

2019 ◽  
Vol 24 (2) ◽  
pp. 100-107
Author(s):  
Tazeen Majeed ◽  
Meredith Tavener ◽  
Xenia Dolja-Gore ◽  
Balakrishnan Nair ◽  
Catherine Chojenta ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Older Women ◽  
Latent Class ◽  
Health Assessment ◽  
Community Dwelling ◽  
Class Analysis ◽  
Health Services Use ◽  
Financial Barriers ◽  
Prospective Longitudinal ◽  
The Impact

Objective To assess which older Australian women had Medicare subsidized health assessments between 1999 and 2013. Methods This study used prospective, longitudinal survey data from the 1921 to 1926 birth cohort of Australian Longitudinal Study on Women’s Health (ALSWH) linked with Medicare Australia data on health services use. Over 11,000 Australian women were included in the study. Latent class analysis was used to identify assessment patterns over time, accounting for death, and based on three categories (‘no assessment’; ‘assessment; ‘deceased’) for each year between 1999 and 2013. Further analysis explored the impact of health and sociodemographic characteristics on class membership. Results Of the women included in the latent class analysis, 37% never had any assessment and the remainder had had at least one assessment. After a steady uptake from 1999 to 2003, there was decline in uptake from 2003 onwards. A six-class model with sufficient homogeneity and reliable estimation was selected to represent assessment patterns and mortality risk, labelled as: ‘high mortality’ rate with little chance for assessment (12.4%), ‘intermediate mortality, low assessment’ (14.1%), ‘later mortality/low assessment’ (13.1%), ‘later mortality, high assessment’ (7.0%), ‘low mortality, low assessment’ (31.8%), ‘low mortality, high assessment’ (21.6%). Older women with certain conditions (such as diabetes, depression, heart disease) were more likely to be in the low assessment groups, and women with difficulty managing on income were more likely to be in low assessment groups. Conclusion Distinct assessment and mortality patterns were seen, with many women not having assessment, in particular those who had certain health conditions, were taking 3+ medications, had difficulty in managing on income, needed help or were in respite care, and had caring responsibilities. The findings point to a need to promote these assessments among older women, and to reduce financial barriers, even within the context of a heavily subsidized health care system.

scholarly journals Health Lifestyles and Their Influence on Chinese Oldest-old’s Health Outcomes —Evidence From a Latent Class Analysis

2020 ◽  
Author(s):  
Li Zhang ◽  
Xiangyang Bi ◽  
Zhihong Ding
Keyword(s):  
Health Status ◽  
Health Behaviors ◽  
Health Outcomes ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Oldest Old ◽  
Functional Independence ◽  
Class Analysis ◽  
Health Lifestyles ◽  
Individual Health

Abstract BackgroundA strong association between individual health behaviors and health outcomes has been emphasized by previous analyses. However, how individual health behaviors can be classified into health lifestyles and the manner in which health lifestyles have impacted Chinese oldest-old’s health status are largely unknown.MethodsAnalyzing the 2014 Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese oldest-old aged 85 to 105.ResultsFour distinct classes representing health lifestyles emerged. Health lifestyles were found to be strongly associated with Chinese oldest-old’s 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 socioeconomic disadvantage. Findings also showed a convergence of health disparities caused by demographic and SES characteristics in very old age.ConclusionsChinese oldest-old showed four predominant health lifestyles with only 21.9% of the sample had consistently healthy lifestyle behaviors. The significant influence of health lifestyles on health remained after age 85, .highlighting the importance of promoting health lifestyles to advance the oldest-old’s health status.

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