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 The COVID-19 Pandemic and Intergenerational Support: Results Based on the Health and Retirement Study COVID-19 Module

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 352-352
Author(s):  
Zhen Cong ◽  
Guanggang Feng
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Health And Retirement Study ◽  
Instrumental Support ◽  
Intergenerational Support ◽  
Class Analysis ◽  
High Interaction ◽  
Retirement Study

Abstract This study examined relationships between COVID-19 exposure and intergenerational support patterns. The data was from the 2020 Health and Retirement Study (HRS) COVID-19 Module (N=3266). The latent class analysis (LCA) was used to identify the types of intergenerational support based on respondents’ reports on whether they provided and received financial and instrumental support from either coresident children or non-coresident children. Two classes were identified, namely, the high interaction group and the low interaction group. Logistic regression showed that respondents who had COVID-19 and had increased spending as a result of COVID-19 were more likely to be in the high interaction group. Other types of COVID-19 exposure, i.e., knowing someone being diagnosed or knowing someone who died from COVID-19 were not significant.

scholarly journals Testing frailty, accessible housing, and changes in living arrangements using the Health and Retirement Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 622-622
Author(s):  
Bonnie Albright
Keyword(s):  
Living Arrangements ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Health And Retirement Study ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Community Dwelling Older Adults ◽  
The Relationship ◽  
Retirement Study

Abstract This study examined housing accessibility elements of community-dwelling older adults using the Health and Retirement Study (HRS). Housing accessibility elements were tested as moderators in the relationship between prior frailty and later living arrangements. HRS physical measures were used to construct the Physical Frailty Phenotype and the Continuous Frailty Scale. The analytic method for the study was multinomial logistic regression. Latent class analysis was also used to identify housing accessibility element use-types. Study findings will be presented. Strengths and weaknesses of using the HRS to measure home accessibility and construct frailty scales will also be discussed.

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 Latent class analysis of 216 patients with adult-onset Still’s disease

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
Takahiro Sugiyama ◽  
Shunsuke Furuta ◽  
Masaki Hiraguri ◽  
Kei Ikeda ◽  
Yosuke Inaba ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Disease Onset ◽  
The Elderly ◽  
Event Analysis ◽  
Class Analysis ◽  
Time To Event ◽  
Class 1 ◽  
Elderly Onset

Abstract Background Adult-onset Still’s disease (AOSD) is a rare systemic autoinflammatory disease which encompasses patients with heterogenous presentation and a wide range of clinical courses. In this study, we aimed to identify potential subgroups of AOSD and reveal risk factors for relapse. Methods We included a total of 216 AOSD patients who received treatment in nine hospitals between 2000 and 2019. All patients fulfilled the Yamaguchi classification criteria. We retrospectively collected information about baseline characteristics, laboratory tests, treatment, relapse, and death. We performed latent class analysis and time-to-event analysis for relapse using the Cox proportional hazard model. Results The median age at disease onset was 51.6 years. The median follow-up period was 36.8 months. At disease onset, 22.3% of the patients had macrophage activation syndrome. The median white blood cell count was 12,600/μL, and the median serum ferritin level was 7230 ng/mL. Systemic corticosteroids were administered in all but three patients (98.6%) and the median initial dosage of prednisolone was 40mg/day. Ninety-six patients (44.4%) were treated with concomitant immunosuppressants, and 22 (10.2%) were treated with biologics. Latent class analysis revealed that AOSD patients were divided into two subgroups: the typical group (Class 1: 71.8%) and the elderly-onset group (Class 2: 28.2%). During the follow-up period, 13 of 216 patients (6.0%) died (12 infections and one senility), and 76 of 216 patients (35.1%) experienced relapses. Overall and relapse-free survival rates at 5 years were 94.9% and 57.3%, respectively, and those rates were not significantly different between Class 1 and 2 (p=0.30 and p=0.19). Time-to-event analysis suggested higher neutrophil count, lower hemoglobin, and age ≥65 years at disease onset as risk factors for death and age ≥65 years at disease onset as a risk factor for relapse. Conclusions AOSD patients were divided into two subgroups: the typical group and the elderly-onset group. Although the survival of patients with AOSD was generally good, the patients often experienced relapses. Age ≥65 years at disease onset was the risk factor for relapse.

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.

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