TY - JOUR
T1 - Examining interactions between risk factors for psychosis
AU - Zammit, Stanley
AU - Lewis, Glyn
AU - Dalman, Christina
AU - Allebeck, Peter
PY - 2010
Y1 - 2010
N2 - Background For complex multifactorial diseases it seems likely that co-exposure to two risk factors will show a greater than additive relationship on disease risk. Aims To test whether greater than additive relationships occur between risk factors for psychosis. Method A cohort study of 50 053 Swedish conscripts. Data on IQ, cannabis use, psychiatric diagnoses, disturbed behaviour and social relations assessed at age 18 were linked to admissions with any non-affective psychoses over a 27-year follow-up period. Statistical interactions between risk factors were examined under both additive and multiplicative models. Results There was some evidence of interaction for eight of the ten combinations of risk factors under additive models, but for only one combination under multiplicative models. Conclusions Multiplicative models describe the joint effect of risk factors more adequately than additive ones do. However, the implications of finding interactions as observed here, or for most interactions reported to date, remain very limited.
AB - Background For complex multifactorial diseases it seems likely that co-exposure to two risk factors will show a greater than additive relationship on disease risk. Aims To test whether greater than additive relationships occur between risk factors for psychosis. Method A cohort study of 50 053 Swedish conscripts. Data on IQ, cannabis use, psychiatric diagnoses, disturbed behaviour and social relations assessed at age 18 were linked to admissions with any non-affective psychoses over a 27-year follow-up period. Statistical interactions between risk factors were examined under both additive and multiplicative models. Results There was some evidence of interaction for eight of the ten combinations of risk factors under additive models, but for only one combination under multiplicative models. Conclusions Multiplicative models describe the joint effect of risk factors more adequately than additive ones do. However, the implications of finding interactions as observed here, or for most interactions reported to date, remain very limited.
U2 - 10.1192/bjp.bp.109.070904
DO - 10.1192/bjp.bp.109.070904
M3 - Article (Academic Journal)
C2 - 20807965
SN - 0007-1250
VL - 197
SP - 207
EP - 211
JO - British Journal of Psychiatry
JF - British Journal of Psychiatry
IS - 3
ER -