Depressive symptoms in adolescents are a major problem
in today’s society, and it is well established that family
environment, as well as sociodemographic variables, such
as sex, age and socio-economic status (SES), contributes to
them. However, family attributes are not accurately defined,
some of them sharing characteristics but differing in labels,
which reveals the different theoretical and methodological
frameworks of the studies focusing on family attributes. Thus,
the genuine family attributes responsible for the depressive
symptoms when both sociodemographic variables and other
family attributes are controlled remain unclear. In this study,
we aimed to rise above these limitations both employing
an inclusive and widely used measure of family attributes,
the Family Assesment Device (FAD), and a methodological
approach that allow identifying the family attributes that
contribute to depressive symptoms, but also isolating the
effect of each family attribute from others, thus revealing
their real/unique effects. For this purpose, we used regression
analyses, as well as Pratt’s measure, which qualifies us to
quantify the non-shared amount of depressive symptoms
explained for each family attribute. Our results showed that,
although all the family variables measured by FAD seemed to
be related to depressive symptoms, when a proper analysis was
carried out that controlled for the overlapping between them,
only affective responsiveness (AR), affective involvement
(AI), and behavioural control (BC) genuinely predicted
adolescent depressive symptoms. As a conclusion, our results
showed that, as expected, the affective family attributes (AR
and AI) are of paramount importance to prevent adolescent
depression but, interestingly, also revealed that the existence
and obedience of rules within the family (BC) also play an
important role to its prevention.