A structural equation model of environmental correlates of adolescent obesity for age and gender groups

2014 ◽  
Vol 10 (4) ◽  
pp. 288-295 ◽  
Author(s):  
K. C. Nesbit ◽  
T. H. Kolobe ◽  
S. B. Sisson ◽  
I. R. Ghement
Author(s):  
Wenwen Kong ◽  
Hui Wang ◽  
Jianmei Zhang ◽  
Danhong Shen ◽  
Danjun Feng

Background: Judges may experience mental health problems, which reduces their performance in juridical cases, and constitutes a great threat to both the authority of law and social justice. This study aimed to assess the prevalence of psychological distress among judges and examine the effect of perfectionism on psychological distress with age and gender as the moderators. Methods: This survey was carried out in person with 565 Chinese judges in 2016, using the Almost Perfect Scale-Revised and the Kessler Psychological Distress Scale. The effects of perfectionism on psychological distress was explored by Structural Equation Model (SEM), and the moderating effects of age and gender were tested by Multi-group analysis. Results: Psychological distress was reported by 89.20% of the judges surveyed. Discrepancy had a significant positive effect on psychological distress, but order had a significant negative effect on psychological distress, with high standards exerting no significant effect. Age had a significant moderating effect, whereas the moderating effect of gender was not significant. Conclusion: The three dimensions of perfectionism exerted different effects on psychological distress of Chinese judges, and the relationships were moderated by age.


2018 ◽  
Vol 195 ◽  
pp. 04015
Author(s):  
I Wayan Suteja ◽  
Mifta Holman ◽  
D.M. Priyantha Wedagama ◽  
P. Alit Suthanaya

During the last three years, traffic accidents in Mataram City- Lombok have increased significantly. Interestingly, most of the accidents were involved high school motorcyclist. This study aims to investigate the influence of age and gender of student motorcycle riders on traffic violations and accidents, which represents a city with moderate growth. The investigation was conducted using a questionnaire survey, in which the data were collected from 394 students covering eighteen high schools. The model developed consists of behavioral, violation and accident latent variables. Behavioral constructs are comprised of five observed variables, the violation constructs consist of three observed variables, and accident constructs have two observed variables. It was found that 51.53% from 87.5% of the student’s motorcycle riders did not have the proper riding license, whom has age under 17 years old and had been involved in traffic accidents. The study was indicated a significant relationship between student riding behavior to traffic violations, and between traffic violations to accidents. Gender and age show differences in the significance (chi-square) values between riding behaviors relationship to traffic violations and accidents too.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 363-363
Author(s):  
Yoshiko Ishioka ◽  
Yasuyuki Gondo ◽  
Yukie Masui ◽  
Takeshi Nakagawa ◽  
Madoka Ogawa ◽  
...  

Abstract Life environment across the life course—such as engagement in late-life leisure activity (LA), primary occupation, and early-life education—have been reported to be associated with better late-life cognitive outcomes. However, few studies have included all these factors from the past to the present due to the time-consuming procedure to measure all factors. This study examined (1) whether late-life LA is associated with better late-life cognition, after considering other life environments and (2) whether occupation, education, and childhood intelligence quotient have indirect effects on the late-life cognition through late-life LA. We used baseline data from the groups of 70- and 80-year-olds in the SONIC study (N = 1721 ). Global cognition was measured using the Montreal Cognitive Assessment. As for LA, participants were asked for yes/no answers to questions regarding their engagement in 158 activities. A latent factor representing LA was used in the analyses. We retrospectively evaluated the complexity of work with data, people, and things. As early-life environments, education and language and arithmetic abilities during elementary school were included in the analyses. Age and gender were controlled. A structural equation model showed that late-life LA was significantly associated with higher global cognition, even after controlling for all past factors (RMSEA = .050, GFI = .973, AGFI = .947). Sobel tests showed significant indirect effects of occupation, education, and childhood abilities on cognitive function. Results were robust across age and gender. It is suggested that engagement in LA explains individual differences in late-life cognitive function.


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