Modification effects of family economic status and school factors on depression risk of single-father family children in Mid-Taiwan area

2013 ◽  
Vol 34 (5) ◽  
pp. 1468-1477 ◽  
Author(s):  
Jin-Ding Lin ◽  
Yu-Hsin Hsieh ◽  
Fu-Gong Lin
Keyword(s):  
Economic Status ◽  
School Factors ◽  
Single Father ◽  
Depression Risk ◽  
Taiwan Area

scholarly journals School characteristics and children’s mental health: A linked survey-administrative data study

2019 ◽  
Author(s):  
Praveetha Patalay ◽  
Erin O'Neill ◽  
Jessica Deighton ◽  
Elian Fink
Keyword(s):  
Mental Health ◽  
School Climate ◽  
Economic Status ◽  
Children’S Mental Health ◽  
Children's Mental Health ◽  
School Factors ◽  
School Composition ◽  
Behavioural Symptoms ◽  
Socio Economic Status ◽  
Mental Health Difficulties

Background. Mental health difficulties are childhood-onset with lifelong consequences. Children spend a large proportion of their daily life in schools, making the school setting an important context for mental health prevention and support. Methods. Data from a large-scale mental health survey were linked to the national pupil and school census databases. Data from 23,215 children from 648 primary schools were analysed to examine the associations of school composition (school size, gender, socioeconomic and ethnicity composition) and school climate with emotional and behavioural symptoms, as well as high mental health difficulties (scores above clinical cut-off). The proportion of school-level variation explained by composition and climate and whether the association of school factors with mental health were moderated by child-level socio-demographic characteristics were also investigated. Results. After controlling for child-level characteristics, 3 to 4.5% of the variation in children’s mental health outcomes could be attributed to schools. Of this, small proportions were explained by school composition (1.4 to 3.8%) and larger proportions were explained by differences in school climate (29.5 to 48.8%). In terms of composition, lower school socio-economic status (SES) was associated with higher mean behavioural symptoms and slightly raised odds of high mental health difficulties (OR = 1.05, 95% CI: 1.01,1.09). More positive school climate was associated with lower mean emotional and behavioural symptoms and lower odds of mental health difficulties (OR = 0.78, 95% CI: 0.74, 0.81). Some of the associations between school factors and mental health were moderated by child sex and SES.Conclusion. School composition was for the most part not associated with children’s mental health and explained only a small proportion of the between school variation in mental health. School deprivation was the only compositional variable to be associated with poor mental health and its association was moderated by the child’s socio-economic status. School climate explained a large amount of the between-school variation in mental health and appears a good target for universal prevention of mental health difficulties in children.

scholarly journals School characteristics and children’s mental health: A linked survey-administrative data study

2019 ◽  
Author(s):  
Praveetha Patalay ◽  
Erin O'Neill ◽  
Jessica Deighton ◽  
Elian Fink
Keyword(s):  
Mental Health ◽  
School Climate ◽  
Economic Status ◽  
Children’S Mental Health ◽  
Children's Mental Health ◽  
School Factors ◽  
School Composition ◽  
Behavioural Symptoms ◽  
Socio Economic Status ◽  
Mental Health Difficulties

Background. Mental health difficulties are childhood-onset with lifelong consequences. Children spend a large proportion of their daily life in schools, making the school setting an important context for mental health prevention and support. Methods. Data from a large-scale mental health survey were linked to the national pupil and school census databases. Data from 23,215 children from 648 primary schools were analysed to examine the associations of school composition (school size, gender, socioeconomic and ethnicity composition) and school climate with emotional and behavioural symptoms, as well as high mental health difficulties (scores above clinical cut-off). The proportion of school-level variation explained by composition and climate and whether the association of school factors with mental health were moderated by child-level socio-demographic characteristics were also investigated. Results. After controlling for child-level characteristics, 3 to 4.5% of the variation in children’s mental health outcomes could be attributed to schools. Of this, small proportions were explained by school composition (1.4 to 3.8%) and larger proportions were explained by differences in school climate (29.5 to 48.8%). In terms of composition, lower school socio-economic status (SES) was associated with higher mean behavioural symptoms and slightly raised odds of high mental health difficulties (OR = 1.05, 95% CI: 1.01,1.09). More positive school climate was associated with lower mean emotional and behavioural symptoms and lower odds of mental health difficulties (OR = 0.78, 95% CI: 0.74, 0.81). Some of the associations between school factors and mental health were moderated by child sex and SES.Conclusion. School composition was for the most part not associated with children’s mental health and explained only a small proportion of the between school variation in mental health. School deprivation was the only compositional variable to be associated with poor mental health and its association was moderated by the child’s socio-economic status. School climate explained a large amount of the between-school variation in mental health and appears a good target for universal prevention of mental health difficulties in children.

Sex Differences in Multilevel Factors of Smoking Experimentation and Age of Initiation in Korean Adolescents

2019 ◽  
Vol 36 (5) ◽  
pp. 348-359 ◽  
Author(s):  
Eun-Mi Kim ◽  
Eunhee Park ◽  
Heejung Kim
Keyword(s):  
Sex Differences ◽  
Ecological Model ◽  
Economic Status ◽  
Smoking Initiation ◽  
Cross Sectional Study ◽  
School Factors ◽  
Cross Sectional ◽  
Web Based ◽  
Korean Adolescents ◽  
Factors Associated

This study purpose was to investigate sex differences in multilevel factors associated with smoking experimentation and age of initiation among Korean adolescents. Based on the ecological model, this cross-sectional study used data from the 2016 Korea Youth Risk Behavior Web-Based Survey ( N = 65,528). Among 33,803 males (51.6%) and 31,725 females (48.4%), a greater proportion of males (21.9%) than females (7.1%) engaged in smoking experimentation. Males started smoking earlier than females (males: 12.7 years, females: 12.9 years, respectively, p < .05). In both sex groups, common factors associated with smoking were age, depression, suicidal ideation, academic achievement, household economic status, and having friends smoking and a specific person to talk with about their personal concern (all p values <.05). There were significant sex differences in psychological, family, and school factors of smoking initiation and experimentation. It is necessary to develop smoking interventions considering both individual and environmental factors with sex-specific strategies.

Oral Language Behavior of Older Cerebral Palsied Children

1964 ◽  
Vol 7 (4) ◽  
pp. 349-359 ◽  
Author(s):  
Russell J. Love
Keyword(s):  
Oral Language ◽  
Economic Status ◽  
Educational Background ◽  
Socio Economic Status ◽  
Language Behavior ◽  
Hearing Acuity

A battery of six tests assessing various aspects of receptive and expressive oral language was administered to 27 cerebral palsied children and controls matched on the variables of age, intelligence, sex, race, hearing acuity, socio-economic status, and similarity of educational background. Results indicated only minimal differences between groups. Signs of deviancy in language behavior often attributed to the cerebral palsied were not observed. Although previous investigators have suggested consistent language disturbances in the cerebral palsied, evidence for a disorder of comprehension and formulation of oral symobls was not found.

Sign in / Sign up

Export Citation Format

Share Document