A Latent Profile Analysis of Problematic Media Device Use and Its Association With Executive Function and Behavioral Problem Among Children: A Population-Based Study

Author(s):  
Yunhye Oh ◽  
Youngmi Kim ◽  
Yoo-Sook Joung
2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S165-S165
Author(s):  
Sarah M Israel ◽  
Erica Szkody ◽  
Michael R Nadorff ◽  
Daniel L Segal

Abstract Older adults are generally happier, less likely to have depression or anxiety, and have better emotion regulation abilities than earlier in life. While older age predicts more hostile beliefs about others, older adults report less hostile behavior and no difference in covert hostility, compared to other age groups. However, brain regions associated with executive function and emotion regulation are impacted by even normal aging. Using latent profile analysis (LPA) we aimed to better understand what factors contribute to a dysregulated profile in older adults and how age altered the dysregulation profile. The current archival study includes data from 518 older adults between the ages of 60 and 95 years (M = 70.73, SD = 7.34). Participants completed the Coolidge Axis II Inventory (CATI) database. The CATI is a 250-item psychopathology and neuropsychological inventory that assesses over 40 clinical and neuropsychological disorders utilizing official DSM-5 criteria. A Dysregulated Profile was identified using an LPA of diagnosis subscales (i.e., Anxiety, Depression, Anger, and ADHD) that have been previously associated with dysregulation in children and young adults. Results demonstrated that female participants reported more ADHD symptoms (more impairment in executive function) than men. Furthermore, the dysregulated profile (high on all subscales) and age interacted such that, as age increased, scores on the Depression and Anger subscales decreased. No significant differences were found for any other interactions. Our findings are consistent with existing literature. Even in the dysregulated profile, participants reported less anger and depression with older age.


2016 ◽  
Vol 88 (2) ◽  
pp. 234-257 ◽  
Author(s):  
Margarita Olivera-Aguilar ◽  
Samuel H. Rikoon ◽  
Steven B. Robbins

2020 ◽  
pp. 1-15
Author(s):  
Simone Pettigrew ◽  
Liyuwork Mitiku Dana ◽  
Michelle I. Jongenelis ◽  
Ben Jackson

Abstract Being active in later life is key to remaining physically and mentally healthy, and health in turn influences individuals’ ability to remain active. Activity prevalence figures can disguise the existence of clusters of older people who are very active due to regular participation in multiple categories of activity versus those who are sedentary. The aim of this study was to conduct segmentation analyses based on retired seniors’ engagement in various activities (walking, active sport/exercise, gardening and volunteering) to identify groups characterised by varying patterns of participation. The sample comprised 746 Western Australians aged 60+ years (range 60–95 years, average age 71.66 years, standard deviation = 6.57), 61 per cent of whom were female. Using latent profile analysis, four distinct segments emerged. Those respondents classified as belonging to the most active group exhibited moderate to high levels of participation across all four forms of activity, and tended to be older and more educated than other respondents. Those allocated to the least active group had very low levels of participation across most of the assessed activities and the least favourable physical and mental health scores. Overall, the results indicate the existence of highly divergent segments within the older population in terms of participation across various combinations of health-promoting activities. Segment membership appears to be more closely associated with physical and psychological factors than socio-demographic characteristics.


2016 ◽  
Vol 8 (5) ◽  
pp. 601-608 ◽  
Author(s):  
Jana Műllerová ◽  
Maj Hansen ◽  
Ateka A. Contractor ◽  
Jon D. Elhai ◽  
Cherie Armour

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