Collected Dataset / CoLaus_PsyCoLaus_Adult_offspring_Psychiatric_evaluation_followup_2

CoLaus_PsyCoLaus_Adult_offspring_Psychiatric_evaluation_followup_2

CoLaus_PsyCoLaus_Adult_offspring_Psychiatric_evaluation_followup_2

Networks -
Variables -

Population

CoLaus|PsyCoLaus - Adult Offspring
The population is composed of the offspring aged 18 to 35 years of the probands.

Data Collection Event

CoLaus|PsyCoLaus - Adult Offsping - Psychiatric evaluation follow-up 2
Personality traits, attitudes, and functioning were assessed through a semi-structured diagnostic interview and a number of self-rating instruments. Diagnostic information was collected using the Diagnostic Interview for Genetic Studies (DIGS). Additional data was collected based on interview techniques, including headache symptoms (Diagnostic Interview for Headache Syndromes (DIHS)) and life events (F. Amiel Lebigre interview). Complementary information on personality, temperamental features, social support, quality of life, job stress, and depression was obtained using a self-report battery including the following instruments: the State-Trait Anxiety Inventory (STAI), the Eysenck Personality Questionnaire (EPQ), the Hypomania Checklist-32 first revised version (HCL-32-R1), the Multidimensional Scale of Perceived Social Support (MSPSS), the Manchester Short Assessment of Quality of Life (MANSA), The Maastricht Vital Exhaustion Questionnaire (MVEQ), the Siegrist Job Stress Questionnaire, The Maslach Burnout Inventory (MBI), and a Depression screening (CES-D). Cognitive function was assessed using a diverse range of methodologies, including the Do 80 (Epreuve de dénomination orale d’images) Cognitive Complaint Questionnaire, the Grober and Buschke episodic memory test CERAD praxis items, the Lexical and semantic fluency tasks, the Stroop color test, and the Severity staging based on the Clinical Dementia Rating (CDR). This comprehensive approach ensured a thorough understanding of cognitive function in the study participants. Additional phenotypes included an EEG for abnormal functional connectivity and an MRI for brain morphology and noise measurements during sleep.