Avtor/Urednik     King, Michael; Weich, Scott; Torres-Gonzalez, Francisco; Švab, Igor; Maaroos, Heidid-Ingrid; Neeleman, Jan; Xavier, Miguel; Morris, Richard; Rotar-Pavlič, Danica; Rifel, Janez
Naslov     Prediction of depression in European general practice attendees: the PREDICT study
Tip     članek
Vir     BMC public health Online
Vol. in št.     Letnik 6, št. 1
Leto izdaje     2006
Obseg     str. 1-8
Jezik     eng
Abstrakt     Background: Prevention of depression must address multiple risk factors. Estimating overall risk across a range of putative risk factors is fundamental to prevention of depression. However, we lack reliable and valid methods of risk estimation. This protocol paper introduces PREDITC, an international research study to address this risk estimation. Methods/design: This is a prospective study in which consecutive general practice attendees in six European countries are recruited and followed up after six and 12 months. Prevalence of depression is assessed at baseline and each follow-up point. Consecutive attendees between April 2003 and September 2004 who were aged 18 to 75 were asked to take part. The possibility of a depressive episode was assessed using the Depression Section of the Composite International Diagnostic Interview. A selection of presumed risk factor was based on our previous work and a systematic review of the literature. It was necessary to evaluate the test-retest reliability of a number of risk factor questions that were developed specifically, or adapted, for the PREDICT study. In a separate reliability study conducted between January and November 2003, consecutive general practice attendees in the six participating European countries completed the risk factor items on two occasions, two weeks apart. The overall response rate at entry to the study was 69%. We exceeded our expected recruitment rate, achieving a total of 10,048 people in all. Reliability coefficients were generally good to excellent. Discussion: Response rate to follow-up in all countries was uniformly high, which suggests that prediction will be based on almost a full cohort. (Abstract truncated at 2000 characters)
Deskriptorji     PRIMARY HEALTH CARE
DEPRESSIVE DISORDER
RISK FACTORS
PREDICTIVE VALUE OF TESTS
PREVALENCE
PROSPECTIVE STUDIES
EUROPE