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 The Patterns of Caregiving Activities for Family Caregivers of Older Adults: A Latent Class Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 355-355
Author(s):  
Jing Huang ◽  
Pui Hing Chau ◽  
Edmond Pui Hang Choi ◽  
Bei Wu ◽  
Vivian Lou
Keyword(s):  
Older Adults ◽  
Hong Kong ◽  
Activities Of Daily Living ◽  
Latent Class Analysis ◽  
Family Caregivers ◽  
Caregiver Burden ◽  
Daily Living ◽  
Latent Class ◽  
Class I ◽  
Care Recipients

Abstract The purposes of this study were to identify the patterns of caregiving activities among family caregivers in Hong Kong and to examine their associations with characteristic factors and caregiver burden. The data was from the cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. 932 family caregivers were classified into different classes by using the Latent class analysis (LCA) according to their engagements in the 17 daily caregiving activities: 6 activities of daily living (ADLs), 8 instrumental activities of daily living activities (IADLs), emotional support, decision-making, and financial support. Five classes were revealed and labeled “Total All-round Caregiving” (Class I: 19.5%), “Partial All-round Caregiving” (Class II: 8.2%), “ADLs Free Caregiving” (Class III: 23.8%), “ADLs & Partial IADLs Free Caregiving” (Class IV: 32.5%), “Financial Caregiving” (Class V: 16.0%), respectively. Results from multinomial logistic regression found that the following factors were associated with the class membership: care recipients’ age, medical diagnoses, and caregivers’ gender, job status, marital status, self-rated economic status, living with care recipients, and caring for ≥40 hours per week. Findings from multiple linear regression showed caregivers with different patterns of caregiving activities reported different levels of caregiver burden. Caregivers in Class I have been found with the highest caregiver burden. This is the first study that has applied LCA to capture the patterns of caregiving activities among family caregivers. Identification of caregiving activity patterns and examination of their characteristics and caregiver burden can help healthcare providers to shift to prioritized and targeted caregiver support.

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

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.

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