TY  - JOUR
PY  - 2023//
TI  - Premorbid intelligence quotient and school failure as risk markers for bipolar disorder and major depressive disorder
JO  - Journal of psychiatric research
A1  - Rabelo-da-Ponte, Francisco Diego
A1  - Marchionatti, Lauro Estivalete
A1  - Watts, Devon
A1  - Roza, Thiago Henrique
A1  - Amoretti, Sílvia
A1  - Barros, Fernando C.
A1  - Wehrmeister, Fernando C.
A1  - Gonçalves, Helen
A1  - B Menezes, Ana Maria
A1  - Kunz, Mauricio
A1  - Kapczinski, Flavio
A1  - Passos, Ives Cavalcante
SP  - 160
EP  - 165
VL  - 169
IS  - 
N2  - Mood disorders significantly impact global health, with MDD ranking as the second leading cause of disability in the United States and BD ranking 18th. Despite their prevalence and impact, the relationship between premorbid intelligence and the subsequent development of BD and MDD remains inconclusive. This study investigates the potential of premorbid Intelligence Quotient (IQ) and school failure frequency as risk factors for Bipolar Disorder (BD) and Major Depressive Disorder (MDD) in a birth cohort setting. We analyze data from the Pelotas population-based birth cohort study, comprising 3580 participants aged 22, who had no prior mood disorder diagnoses. Utilizing regression models and accounting for potential confounders, we assess the impact of IQ and school failure, measured at age 18, on the emergence of BD and MDD diagnoses at age 22, using individuals without mood disorders as comparators. <br><br>RESULTS reveal that lower IQ (below 70) at 18 is associated with an increased risk of BD (Adjusted Odds Ratio [AOR] 1.75, 95%CI: 1.00-3.09, p < 0.05), while higher IQ (above 120) is linked to MDD (AOR 2.16, 95%CI: 1.24-3.75, p < 0.001). Moreover, an elevated number of school failures is associated with increased BD risk (AOR 1.23, 95%CI: 1.11-1.41, p < 0.001), particularly for BD type 1 (AOR 1.36, 95% CI: 1.17-1.58, p < 0.001). These findings offer insights into the distinct premorbid intellectual characteristics of BD and MDD and contribute to a deeper understanding of their developmental trajectories, potentially informing the development of risk assessment tools for mood disorders.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-3956
UR  - http://dx.doi.org/10.1016/j.jpsychires.2023.11.018
ID  - ref1
ER  -