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 ◽  
...  
2020 ◽  
Vol 5 (3) ◽  
pp. 231-236
Author(s):  
Shelley E Condon ◽  
Scott C Roesch ◽  
Philip J Clements ◽  
Daniel E Furst ◽  
Michael H Weisman ◽  
...  

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.


2016 ◽  
Vol 241 ◽  
pp. 289-296 ◽  
Author(s):  
Charles Cotrena ◽  
Laura Damiani Branco ◽  
Renata Kochhann ◽  
Flávio Milman Shansis ◽  
Rochele Paz Fonseca

Author(s):  
Kang-Hyun Park ◽  
Eun-Young Yoo ◽  
Jongbae Kim ◽  
Ickpyo Hong ◽  
Jae-Shin Lee ◽  
...  

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.


2021 ◽  
Author(s):  
Hong Su ◽  
Yuqiu Zhou ◽  
Yunjiang Cai ◽  
Yun Wang

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.


Author(s):  
J Hua ◽  
A S Mendoza-Vasconez ◽  
B W Chrisinger ◽  
T L Conway ◽  
M Todd ◽  
...  

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.


2017 ◽  
Vol 87 (2) ◽  
pp. 141-155 ◽  
Author(s):  
Jessica Gasiorek ◽  
John P. Barile

The association between how middle-aged and older adults talk about aging and their quality of life was examined using latent profile analysis and regression techniques. Two-hundred eight-six adults with an average age of 52.82 (range: 45–77) completed an online questionnaire, which assessed participants’ self-reported communication about aging, stress, health-related quality of life, and satisfaction with life. Controlling for social support and demographics, participants’ profile of communication about aging was found to predict satisfaction with life, stress, and mental health but not general or physical health.


Children ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 906
Author(s):  
Ananda Stuart ◽  
Catarina Canário ◽  
Orlanda Cruz

In the current study, an observational procedure, recorded in video, was used to evaluate the quality of parent–child interactions in a sample of vulnerable Portuguese families (n = 47) with school-aged children followed by Child Protective Services (CPS). The study sought to explore if the families presented different profiles of parent–child interaction quality, and to characterize such profiles in terms of discrete behaviors observed, parenting outcome variables, and families’ sociodemographic and CPS referral characteristics. The parent-child dyads took part in a 15 minutes structured task and parents completed self-report measures (affection, parenting behaviors, and stress). Discrete behaviors of parents and children during interactions were coded with a micro-analytic coding procedure. The global dimensions of the parents’ interactions were coded with a global rating system. A latent profile analysis, estimated with global dimensions, identified two subgroups, one subgroup in which parents displayed higher quality interactions (n = 12), and another subgroup in which parents displayed lower quality interactions (n = 35). Further analyses comparing the subgroups determined that the higher quality subgroup presented more positive behaviors, and the lower quality subgroup presented more negative behaviors during the interactions. No further differences or associations were found regarding the parenting outcome variables, and the families’ sociodemographic and CPS referral characteristics. The findings are in line with prior studies, suggesting that vulnerable families may frequently present depleted parent–child interactions. However, given the small sample size, future studies should replicate the described procedures and analyses in larger sample sizes.


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