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Volume 6, Issue 5(Suppl)

Epidemiology (Sunnyvale)

ISSN: 2161-1165 ECR, Open Access

Page 33

Notes:

Epidemiology 2016

October 3-5, 2016

conferenceseries

.com

Epidemiology & Public Health

October 3-5, 2016|London, UK

4

th

International Conference on

PREDICTORS OFWELL-BEING FOR RESIDENTS OFAN EPIDEMIOLOGIC

CATCHMENT AREA IN MONTREAL, CANADA

Caron Jean

a

and

Aihua Liu

a

a

McGill University, Canada

T

he aim of this study is to identify predictors of well-being, a positive indicator of mental health. We used data from the

Montreal Epidemiological Catchment Area Study, a longitudinal study that focuses on the mental health and well-being

of residents in the southwest region of Montreal. The study recruited a randomly selected sample of 2,433 individuals aged

15-65 at baseline of them, 1,303 were re-interviewed four years later. Well-being was measured with Personal Well-being Index

(Cummins, 2003). Direct interviews gathered self-reported data on: socio-demographics, life events, stress and coping abilities,

social support, perceptions of neighbourhoods, working status and income, mental disorders, psychiatric family history and

mental health services utilization. Social and built features of environment were determined using Geographic Information

System. We employed hierarchical linear regression to identify significant independent predictors of well-being improvement

overtime, among the aforementioned baseline

variables.We

first used forward selection procedure to identify significant variable

blocks – groups of variables that had significant overall effects on well-being. We then used backward deletion procedure to

eliminate non-significant individual variables. The final model explained 41% of the variance of well-being. Variables from

eight blocks were found to be significant predictors of well-being, including socio-demographics, income, stress and coping,

social support, mental health status, satisfaction with precise life domains, satisfaction with the physical state, density of the

vegetation in the neighbourhood, and average property values in the neighbourhood. Better understanding predictors of well-

being will enable the development of more effective mental health promotion programs.

Biography

Caron is associate professor of psychiatry at McGill University and researcher at the Research center of the Douglas Mental Health university Institute. He currently

leads the team of Canadian Institute of Health Research (CIHR) in Social and Psychiatric Epidemiology. He is also associate researcher at the Institute of Public

Health of the University of Montreal and at the Instituto de Saude Colletiva of the Federal University of Bahia in Brazil.

jean.caron@mcgill.ca

Caron Jean et al., Epidemiology (Sunnyvale), 6:5(Suppl)

http://dx.doi.org/10.4172/2161-1165.C1.014