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1.
Tohoku J Exp Med ; 230(4): 255-63, 2013 08.
Artigo em Inglês | MEDLINE | ID: mdl-23979096

RESUMO

In Japan, the number of workers with depressive symptoms has increased recently, and long working hours are considered one of the main contributing factors. Currently, the number of workers engaging in discretionary work is small but is expected to increase, as a diverse method of employment is believed to contribute to workers' well-being. However, the factors related to discretionary workers' depressive symptoms are unclear. This study aimed to identify the factors associated with depressive symptoms in discretionary workers. The subjects were 240 male discretionary workers in a Japanese insurance company. A cross-sectional study was performed using a questionnaire that includes demographic characteristics, living and working conditions, work-related and non-work-related stressful events, and the Center for Epidemiologic Studies Depression Scale (CES-D). Depressive symptoms were assessed as more than 16 points on the CES-D. Multiple logistic regression models were employed to estimate odd ratios (OR) with 95% confidence intervals (95% CI) of depressive symptoms in relation to possible factors. Thirty-six subjects (15.5%) showed depressive symptoms. The depressive symptoms were significantly related to age (p = 0.04), presence of child(ren) (p = 0.02), and length of employment (p = 0.01), but unrelated to working hours. Subjects who reported "financial matters" (OR = 4.50, 95% CI = 1.89-10.72) and "own event" such as divorce or illness (OR = 2.93, 95% CI = 1.13-7.61) were more likely to show depressive symptoms. In conclusion, mental health measures for discretionary workers should focus on addressing financial difficulties and consultations and assistance in personal health and family issues.


Assuntos
Depressão/epidemiologia , Depressão/etiologia , Acontecimentos que Mudam a Vida , Trabalho , Adulto , Povo Asiático , Estudos Transversais , Humanos , Seguradoras/estatística & dados numéricos , Japão/epidemiologia , Masculino , Marketing de Serviços de Saúde/estatística & dados numéricos , Pessoa de Meia-Idade , Fatores Socioeconômicos , Inquéritos e Questionários , Trabalho/psicologia
2.
J Hum Ergol (Tokyo) ; 42(1-2): 45-54, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-25647945

RESUMO

Industry-specific primary prevention measures for promoting mental health of workers were undertaken in 2008 and 2009 as a result of participatory training involving 130 supervisory employees in workplaces of the financial industry. These measures included the following five points suggested to be effective in the industry: 1) proper opportunities for training and career building, 2) control of work time and improving work organization, 3) standardization of tasks, 4) job rotation for sharing work responsibilities, and 5) increasing communication and mutual support. A post-training follow-up survey revealed that participatory, action-oriented training facilitated sharing of feasible measures and mutual support, leading to the development of measures easily introduced and established at each workplace. We concluded that mutually supportive group work of teams composed of members who held similar duty positions and were engaged in similar operations, using the Mental Health Action Checklist as a guiding tool, was effective for realizing implementation of optimally practical and specific measures.


Assuntos
Promoção da Saúde/métodos , Capacitação em Serviço/métodos , Liderança , Saúde Mental/estatística & dados numéricos , Saúde Ocupacional/estatística & dados numéricos , Estresse Psicológico/prevenção & controle , Adulto , Lista de Checagem/métodos , Lista de Checagem/estatística & dados numéricos , Comportamento Cooperativo , Feminino , Seguimentos , Promoção da Saúde/estatística & dados numéricos , Humanos , Indústrias , Capacitação em Serviço/estatística & dados numéricos , Satisfação no Emprego , Masculino , Carga de Trabalho/psicologia , Carga de Trabalho/estatística & dados numéricos , Local de Trabalho/psicologia , Local de Trabalho/estatística & dados numéricos
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