Factors Influencing Daily Time Use Types of Older Adults and Their Effect on Life Satisfaction: A Study using Latent Profile Analysis (LPA)

2020 ◽  
Vol 40 (4) ◽  
pp. 781-800
Author(s):  
Seok In Nam ◽  
Joosuk Chae ◽  
Hae Sol Won ◽  
Ju Young Lee
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Factors Influencing ◽  
Daily Time ◽  
Latent Profile

scholarly journals Influence Factors and Life Satisfaction of Types of Older Adults’ Daily Time Use Using Latent Profile Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 497-498
Author(s):  
Joosuk Chae ◽  
Seok In Nam ◽  
Haesol Won ◽  
Juyoung Lee
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Chronic Disease ◽  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Influence Factors ◽  
Work Status ◽  
Daily Time ◽  
Significant Factors

Abstract The purpose of this study is to divide the daily time use of older adults into types, examine the influence factors of each type, and verify the difference in life satisfaction between types. We used a total of six variables, three variables (essential, compulsory, and leisure time use) for weekdays and the same three variables for weekends. We used data from the sixth wave of the Korea Retirement and Income Study (n=3,993). Latent Profile Analysis was used to classify the older adults’ (aged 65 and over) types of daily time use, resulting in a division into three types: essential activity-centered (16%), leisure-centered (26%), and balanced (58%). The weekend and weekday activities of each group did not differ. Compared with the balanced type, the significant factors of the essential activity-centered type were age (p<.01), work status (p<.001), and chronic disease (p<.001). In addition, the significant factors of the leisure-centered type were age (p<.05), gender (p<.05), subjective health (p<.001), work status (p<.001), and chronic disease (p<.001). Life satisfaction was lowest in the essential activity-centered type and highest in the balanced type; differences between the groups were identified (p<.000). Based on the results, we discuss practical interventions and the development of psychosocial programs for older adults. For the essential activity-centered type, living support is required because they spend more time sleeping and eating. In addition, we proposed the preparation of leisure programs applicable to the needs of older adults’ of the leisure-centered type, since their life satisfaction was lower than the balanced type.

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 First-Year Students’ Time Use in College: A Latent Profile Analysis

2018 ◽  
Vol 59 (7) ◽  
pp. 958-978 ◽  
Author(s):  
Kevin Fosnacht ◽  
Alexander C. McCormick ◽  
Rosemarie Lerma
Keyword(s):  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
First Year ◽  
First Year Students ◽  
Latent Profile

scholarly journals The diverging patterns of life satisfaction between families: A latent profile analysis in dual-earner parents with adolescents

2021 ◽  
Author(s):  
Berta Schnettler ◽  
Klaus G. Grunert ◽  
Ligia Orellana ◽  
Horacio Miranda ◽  
Germán Lobos ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Family Functioning ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Work Life ◽  
Life Balance ◽  
Financial Situation ◽  
Dual Earner ◽  
Satisfaction With Family Life ◽  
Latent Profile

AbstractThis study identifies family profiles based on the level of life satisfaction (LS) in mothers, fathers and adolescents, and variables related to their family, food, and work life. The sample was composed of 303 families of dual-earner parents (mothers’ mean age = 40.9 years, SD = 7.4, fathers’ mean age = 43.2 years, SD = 7.2) and one of their children aged between 10 and 17 years (mean age 13.3, SD = 2.4, 51.5% female). A Latent Profile Analysis (LPA) was used to identify five family profiles. Profiles differed in LS, satisfaction with family life (SWFaL), satisfaction with food-related life (SWFoL), family functioning, both parents’ work-life balance and their perception of the financial situation of the household. Balanced and imbalanced families in terms of LS differed in the three family members’ LS and SWFaL, mothers’ and children’ SWFoL and family functioning, and both parents’ perception of financial situation. These results contribute to understanding the heterogeneity of life satisfaction dynamics between and within dual-earner families.

scholarly journals Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers

2019 ◽  
Vol 44 (2) ◽  
pp. 409-417 ◽  
Author(s):  
Nidhi Gupta ◽  
David M. Hallman ◽  
Dorothea Dumuid ◽  
Akshay Vij ◽  
Charlotte Lund Rasmussen ◽  
...  
Keyword(s):  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Movement Behavior ◽  
Behavior Profiles ◽  
Latent Profile

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.

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