| Reference : Gender disparities of depressive mood and roles of family factors, school difficulty,... |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Social & behavioral sciences, psychology : Sociology & social sciences Human health sciences : Public health, health care sciences & services | |||
| Sustainable Development | |||
| http://hdl.handle.net/10993/1647 | |||
| Gender disparities of depressive mood and roles of family factors, school difficulty, violence, and unhealthy behaviours among adolescents | |
| English | |
| Chau, Kénora [> >] | |
Baumann, Michèle  [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >] | |
| 2012 | |
| Social Justice and Democratization | |
| ISA | |
| 303 | |
| Yes | |
| No | |
| International | |
| Buenos Aires | |
| Argentina | |
| Second ISA Forum of Sociology | |
| August 1th – 4th. | |
| International Sociology Association | |
| Buenos Aires | |
| Argentina | |
| [en] Mental health ; socioeconomic status, ; heath related | |
| [en] Nowadays modern societies are to be more competitive and include more non-intact families
and living difficulties due to employment and social deprivations. Adolescents may suffer from depressive mood (DM) which is common and multi-factorial. This study assessed, among boys and girls, the causal relationships between DM and parent education, nationality, occupation, income, divorce/separation, and death, repeating a school-year, lifetime alcohol/tobacco/cannabis/other drugs uses, victim of violence and sexual abuse, involvement in violence, and lack of social supports (family members/friends). Methods: 1559 middle-school adolescents from north-eastern France (mean age 13.5, SD 1.3) completed in class a questionnaire including DM (Kandel scale), factors studied, and their occurring/persisting period. Data were analyzed using Cox models taking into account risk factors which came before and persisted until DM occurring. Findings: Lifetime-DM affected 7.6% of boys and 19.1% of girls. Among girls factors with significant crude hazard ratios (HR) were: parent divorce/separation (1.57), insufficient income (1.95), repeating a school-year (1.95), victim of violence (2.99) or sexual abuse (4.96), and lack of supports (4.08 for score 1-2 and 7.74 for score 3+, vs. score 0) while tobacco use was close to significance (1.77). Taking all factors into account retained only repeating a school-year (adjusted HR 1.87), victim of violence (2.50) or sexual abuse (4.02), and lack of supports (3.83 and 7.28). Among boys, the significant factors were: hard-drug use (6.01), victim of violence (2.88), and lack of supports (2.27 and 4.78) while insufficient income (1.75), low parent education (1.60), and victim of sexual abuse (3.58) were close to significance. Full model retained only victim of violence (adjusted HR 2.29) and lack of supports (2.16 and 4.18). Conclusion: Taking chronology in consideration revealed strong gender disparities for DM and its associations with family characteristics, school difficulties, unhealthy behaviours, violence, and social supports that may be prevention targets. | |
| Integrative Research Unit: Social and Individual Development (INSIDE) > Institute for Health and Behaviour | |
| University of Luxembourg - UL | |
| Researchers ; Professionals ; Students ; General public ; Others | |
| http://hdl.handle.net/10993/1647 |
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