Author/Authors :
Patrick Peretti-Watel، نويسنده , , Ste´phane Legleye، نويسنده , , Miche`le Baumann، نويسنده , , Marie Choquet، نويسنده , , Bruno Falissard ?
Nearkasen Chau، نويسنده , , The Lorhandicap Group، نويسنده ,
Abstract :
Background Individuals with certain
personal, family and job characteristics are at elevated
risk of poor mental health. Yet, the respective role of
obesity, smoking, alcohol abuse, low education,
income, living and family conditions, and sociooccupational
category in fatigue/insomnia (FI),
nervousness (N) and frequent drug use for those
disorders (DFI and DN) among men and women and
in gender disparities are not well known. Methods We
studied gender differences in FI, N, DFI, DN, and in
their correlated, and whether the gender differences
were mediated by individual and lifestyle factors
among 3,450 active subjects aged 18–64, randomly
selected from North-eastern France. Subjects completed
a post-mailed questionnaire. Data were analyzed
via adjusted odds ratio (ORa) computed with
the logistic regression model. Results Women were
more affected than men for FI (21.3 vs. 13.1%, OR
adjusted for age ORa 1.80, 95% CI 1.50–2.16), DFI
(11.6 vs. 7.1%, ORa 1.74, 1.38–2.21), N (14.7 vs. 9.9%,
ORa 1.58, 1.28–1.94), and for DN (12.1 vs. 5.7%, ORa
2.29, 1.79–2.94). These differences were not mediated
by the individual characteristics studied. Multivariate
analysis showed that the risk patterns varied between
the two sexes. Smoking was related to N in men as
well as in women; alcohol abuse to DFI in men only;
lack of family support to all outcome variables in men
and women; low educational level to DFI in men only;
low income to FI, N and DN in men and to FI and DN
in women; being unmarried to DN in men; being
divorced/separated to N and DN in women; being
a manual worker to FI and being a farmer to DFI
in men; and being a manual worker to DN and being
an employee to FI in women (1.50 £ ORa £ 2.95).
Conclusions Women suffered more from fatigue/insomnia
and nervousness and used more drug for
those disorders than men. Socio-demographic and
lifestyle factors played significant roles among men
and women but they did not explain the gender disparities.