scholarly journals A latent class analysis on adolescents media use and associations with health related quality of life

2017 ◽  
Vol 71 ◽  
pp. 266-274 ◽  
Author(s):  
Milena Foerster ◽  
Martin Röösli
Keyword(s):  
Quality Of Life ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Media Use ◽  
Class Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals A Latent Class Analysis of Health-Related Quality of Life in Korean Older Adults

2021 ◽  
Vol 18 (15) ◽  
pp. 7874
Author(s):  
Eun-Hi Choi ◽  
Mi-Jung Kang ◽  
Hyun-Jin Lee ◽  
Mi-Soon Yun
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

The present study aimed to confirm latent classes in health-related quality of life (HRQOL) in older adults and investigate the characteristics of participants in each class. It aimed to provide basic data to develop interventions for each quality-of-life class by analysing the predictors of each class. Secondary data from a community health survey in G province since 2019 found a total of 41,872 participants. Of them, 9027 were 65 years or older and residing in G Province in 2019, participated in this study. Mplus 8.5 was used to conduct a latent class analysis of five domains of HRQOL. Four latent classes in the HRQOL of older adults, namely, stable type, physical disability type, emotional disability type, and crisis type were found. Certain variables predicted these classes. Based on the findings of the present study, training on functional mobility and balance to prevent falls in older populations and individualised programmes to promote mental health in them should be provided. Moreover, policies should increase medical accessibility and provide social support for older people with low-incomes. Additionally, since physical, psychological, and social health in older adults are inter-connected, a comprehensive care plan is needed to improve their HRQOL.

Trajectories of pediatric sleepiness and their associations with health-related quality of life

2019 ◽  
Vol 83 (2) ◽  
pp. 175-197 ◽  
Author(s):  
Katrina M. Poppert Cordts ◽  
Ric G. Steele
Keyword(s):  
Quality Of Life ◽  
Daytime Sleepiness ◽  
Latent Class ◽  
Health Related Quality ◽  
Present Sample ◽  
Related Quality ◽  
Health Related ◽  
Post Hoc ◽  
Academic Year

The need for sleep in children has sparked extensive research, with inconclusive support for an association between sleep duration and sleep quality and health-related quality of life (HR-QOL). Daytime sleepiness, which captures a child's subjective sleep experience, has seldom been explored. Latent class growth analysis (LCGA) was employed to identify longitudinal trajectories of children's sleepiness. Trajectories were utilized to assess their association with HRQOL. The present sample included 158 children and their self-reports of sleepiness and HRQOL collected at three time points across an academic year. Results provided support for three trajectories of sleepiness, with significant associations between trajectory and later HRQOL. Post hoc tests revealed significant differences in HRQOL between trajectories. Children with high and stable sleepiness-experienced impairments in HRQOL comparable to children with chronic health conditions. Implications include the establishment of daytime sleepiness as a pervasive state with both statistical and clinical significance.

scholarly journals German tariffs for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluations at the end of life

2021 ◽  
Author(s):  
Judith Dams ◽  
Elisabeth Huynh ◽  
Steffi Riedel-Heller ◽  
Margrit Löbner ◽  
Christian Brettschneider ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Latent Class ◽  
Economic Evaluations ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Uk ◽  
Combined Data ◽  
Care Measure

Abstract Objectives Economic evaluations often use preference-based value sets (tariffs) for health-related quality of life to quantify health effects. For wellbeing at the end of life, issues beyond health-related quality of life may be important. Therefore, the ICECAP Supportive Care Measure (ICECAP-SCM), based on the capability approach, was developed. A validated German ICECAP-SCM version was published recently. However, tariffs for the German ICECAP-SCM are not available. Therefore, the aim was to determine tariffs for the ICECAP-SCM based on preferences of the German general population. Methods An online sample of 2996 participants completed a best–worst scaling (BWS) and a discrete choice experiment (DCE). BWSs required participants to choose the best and worst statement within the same capability state, whereas DCEs required participants to trade-off between two capability states. First, BWS and DCE data were analyzed separately. Subsequently, combined data were analyzed using scale-adjusted conditional logit latent class models. Models were selected based on the stability of solutions and the Bayesian information criterion. Results The two latent class model was identified to be optimal for the BWS, DCE, and combined data, and was used to derive tariffs for the ICECAP-SCM capability states. BWS data captured differences in ICECAP-SCM scale levels, whereas DCE data additionally explained interactions between the seven ICECAP-SCM attributes. Discussion The German ICECAP-SCM tariffs can be used in addition to health-related quality of life to quantify effectiveness in economic evaluations. The tariffs based on BWS data were similar for Germany and the UK, whereas the tariffs based on combined data varied. We would recommend to use tariffs based on combined data in German evaluations. However, only results on BWS data are comparable between Germany and the UK, so that tariffs based on BWS data should be used when comparing results between Germany and the UK.

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