scholarly journals Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

2021 ◽  
Vol 18 (23) ◽  
pp. 12374
Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
South Korea ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Community Dwelling ◽  
Large Distribution ◽  
Latent Profile

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex (p < 0.001), age (p < 0.001), and regular medication intake (p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels (p < 0.001) and low loneliness levels (p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life (p < 0.001) as well as mental health (p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

scholarly journals Mental Health Classification and Quality of Life of Empty-nest Elderly in China: A Latent Profile Analysis

2021 ◽  
Author(s):  
Hong Su ◽  
Yuqiu Zhou ◽  
Yunjiang Cai ◽  
Yun Wang
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Empty Nest ◽  
Sf 36 ◽  
Health Model ◽  
Mental Health Questionnaire ◽  
Latent Profile

Abstract Background：Latent profile analysis was used to identify the profiles of empty-nest elderly’s mental health. Associations of the profiles with quality of life were then examined. Methods: Three hundred and fifty empty-nest elderly adults in China were investigated with Elderly Mental Health Questionnaire and the Chinese version of the SF-36. Latent profile analysis was used to analyze the data. Results: A three-profile mental health model provided the best fit to the data. The resulting profiles were low mental health, moderate mental health, and high mental health. There were significant differences in quality of life among different profiles of mental health.Conclusion: The results provide a new and expanded view of empty nesters’ mental health, which may be used to improve empty-nest elderly’s quality of life.

Coping profiles and health outcomes among individuals with systemic sclerosis: A latent profile analysis approach

2020 ◽  
Vol 5 (3) ◽  
pp. 231-236
Author(s):  
Shelley E Condon ◽  
Scott C Roesch ◽  
Philip J Clements ◽  
Daniel E Furst ◽  
Michael H Weisman ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Psychological Distress ◽  
Systemic Sclerosis ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Health Related ◽  
And Coping ◽  
Latent Profile

Background: Systemic sclerosis has negative implications for quality of life, and coping is a mechanism by which individuals can adapt more successfully to illness. This study (1) identified coping profiles in patients with systemic sclerosis and (2) examined distress and disability correlates of the profiles. Methods: A sample of 93 patients with confirmed diagnoses of systemic sclerosis received clinical examinations and reported on coping, psychological distress, and health-related disability. Latent profile analysis was used to identify coping-based profile groups. The profile groups were then compared on psychological distress and health-related disability, controlling for disease severity. Results: A two-profile solution was supported: Active Copers emphasized problem-focused, social support, counting blessings, and religious approaches to coping with systemic sclerosis. Passive Copers emphasized blaming self and others, avoidance, and wishful thinking approaches to coping. Active Copers reported significantly less psychological distress than Passive Copers, but no significant differences were found for health-related disability. Discussion: The findings identify multidimensional patterns of coping that are differentially related to psychological distress in systemic sclerosis patients. These findings can inform coping-based interventions for patients with systemic sclerosis.

Quality of Life in School-Aged Youth Referred to an Autism Specialty Clinic: A Latent Profile Analysis

2020 ◽  
Vol 50 (4) ◽  
pp. 1269-1280
Author(s):  
Gazi F. Azad ◽  
Emily Dillon ◽  
Julie Feuerstein ◽  
Luke Kalb ◽  
Jason Neely ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Specialty Clinic ◽  
Latent Profile

Quality of life, functioning and cognition in bipolar disorder and major depression: A latent profile analysis

2016 ◽  
Vol 241 ◽  
pp. 289-296 ◽  
Author(s):  
Charles Cotrena ◽  
Laura Damiani Branco ◽  
Renata Kochhann ◽  
Flávio Milman Shansis ◽  
Rochele Paz Fonseca
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Major Depression ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Life Functioning ◽  
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.

Associations of social cohesion and quality of life with objective and perceived built environments: a latent profile analysis among seniors

2020 ◽  
Author(s):  
J Hua ◽  
A S Mendoza-Vasconez ◽  
B W Chrisinger ◽  
T L Conway ◽  
M Todd ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Built Environment ◽  
Social Cohesion ◽  
Healthy Aging ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Life Study ◽  
Neighborhood Social Cohesion ◽  
Latent Profile

Abstract Background Healthy aging requires support from local built and social environments. Using latent profile analysis, this study captured the multidimensionality of the built environment and examined relations between objective and perceived built environment profiles, neighborhood social cohesion and quality of life among seniors. Methods In total, 693 participants aged 66–97 were sampled from two US locales in 2005–2008 as part of the Senior Neighborhood Quality of Life Study (SNQLS). Perceived social cohesion and quality of life were assessed using validated surveys. Six objective (geographic information system (GIS)-based) and seven perceived built environment latent profiles generated in previous SNQLS publications were used for analyses. Mixed-effects models estimated social cohesion and quality of life separately as a function of the built environment profiles. Results More walkable and destination-rich perceived built environment profiles were associated with higher social cohesion and quality of life. Objective built environment profiles were not associated with social cohesion and only positively associated with quality of life in only one locale (Baltimore/DC). Conclusions Latent profile analysis offered a comprehensive approach to assessing the built environment. Seniors who perceived their neighborhoods to be highly walkable and recreationally dense experienced higher neighborhood social cohesion and quality of life, which may set the stage for healthier aging.

scholarly journals Classification of Mental Health among Korean Vietnam War Veterans: A Latent Profile Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 637-637
Author(s):  
Hyunyup Lee ◽  
Carolyn Aldwin ◽  
Sungrok Kang ◽  
Xyle Ku
Keyword(s):  
Mental Health ◽  
Vietnam War ◽  
Military Service ◽  
Latent Profile Analysis ◽  
Service Providers ◽  
Profile Analysis ◽  
Well Being ◽  
War Veterans ◽  
Vietnam War Veterans ◽  
Latent Profile

Abstract We investigated the dimensional structure of mental health among aging Korean Veterans using latent profile analysis (LPA) on posttraumatic stress disorder symptoms (PTSD), late onset stress symptomology (LOSS), and psychosocial well-being (PWB). The Korean Vietnam War Veterans Study consists of 367 men (Mage=72, SD=2.66). LPA identified five classes of mental health as best fitting the data. Most men were in the normal (38%) and moderate distress (31%) groups, while smaller proportions were in the low affect (13%) and severe distress (7%) groups. The resilient group (12%) had low PTSD, medium LOSS, and high PWB, and were highest on optimism, positive appraisals of military service, and social support. Negative and positive aspects of mental health outcomes were on separate dimensions rather than on a single bipolar dimension. Service providers should attempt to both reduce Veterans’ negative psychological symptoms and increase psychosocial well-being. Part of a symposium sponsored by the Aging Veterans: Effects of Military Service across the Life Course Interest Group.

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