Differences in rates of depression across and between populations can
be considerable and are largely determined by psychosocial factors, Su
ch findings have important implications for comorbidity. On the basis
of multiplying independent probabilities, the proportion of comorbid c
onditions increases as base rates of the disorders increase in a popul
ation. if such a chance combination has clinical implications, it woul
d appear to be a ''fact'' of significance irrespective of biological u
nderpinnings. In a recent survey of 404 women living with ar least one
child in an inner-city area, the rate of both anxiety and depression
was highly related to the childhood experiences of neglect and abuse.
However, adversity in adult life (e.g. widowhood or divorce), which mi
ght be expected to relate to current stressors, was-only related to th
e rate of depression. The hive risk factors had a considerable impact
on comorbidity by increasing the rate of each disorder and thus the pr
obability of their occurring together. They had a lesser impact as com
mon antecedents: If both influences are considered, such adversity exp
lains around half of the comorbidity. This is a conservative estimate
of the impact of psychosocial factors.