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Grant: Operating Grant

University of Calgary

$201,512.00

Development and validation of risk algorithms for major depression in the general population

EF 2010-11

Résumé
The proposed study is to develop and validate risk algorithms (or risk estimation equation) for major depression in the Canadian general population. The development and validation of such algorithms will take advantage of the unique features of the longitudinal cohort of the National Population Health Survey (NPHS). We will use the NPHS data from 1994/95 to 2008/09 (8 cycles) to develop risk estimate equations for 2-year, 4-year, 6-year and 8-year risk of major depression. We will identify a set of key risk factors which are included in the prediction algorithms. The developed algorithms will be validated internally using the NPHS data. The risk algorithms can be used to describe and monitor the risk profiles for major depression in the Canadian general population, suggest interventions based on risk, and quantify the health benefits of interventions at the population level.
Programme
Operating Grant
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
224002
Name
Wang JianLi
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Psychosocial, Sociocultural & Behavioural Determinants of Health 2
Projecttitle
Development and validation of risk algorithms for major depression in the general population
Programtype2
Operating Grants
Orgnameinp2
University of Calgary
Cihramount2
$201,512
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Cohort Study; Incidence; Population-Based; Prediction; Risk Algorithms; Simulation
Abstract
The proposed study is to develop and validate risk algorithms (or risk estimation equation) for major depression in the Canadian general population. The development and validation of such algorithms will take advantage of the unique features of the longitudinal cohort of the National Population Health Survey (NPHS). We will use the NPHS data from 1994/95 to 2008/09 (8 cycles) to develop risk estimate equations for 2-year, 4-year, 6-year and 8-year risk of major depression. We will identify a set of key risk factors which are included in the prediction algorithms. The developed algorithms will be validated internally using the NPHS data. The risk algorithms can be used to describe and monitor the risk profiles for major depression in the Canadian general population, suggest interventions based on risk, and quantify the health benefits of interventions at the population level.
Competitiondate
201103
Approvedterm2
2 yrs 6 mths
Pinamesdelim
Wang, JianLi
Approvedterm
2 ans 6 mois
Cihrcontribution2
~ $201,512~ $0~