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Objective: This longitudinal cohort study aims to investigate the relationship between self-reported childhood maltreatment (CM) and the retrospective trajectory of substance use, mental health, and satisfaction with life in individuals with substance use disorders.

Methods: One hundred eleven treatment-seeking individuals with substance use disorder were recruited from clinical settings and monitored prospectively for 6 years. The participants' substance use, mental health, and satisfaction with life were assessed using standardized measures.

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Background: The association between polysubstance use disorder (pSUD), mental illness, and cognitive impairments is well established and linked to negative outcomes in substance use disorder treatment. However, it remains unclear whether cognitive impairment predicts long-term psychological distress among treatment seeking patients with pSUD. This study aimed to investigate the associations and predictive ability of cognitive impairment on psychological distress one and 5 years after treatment initiation.

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Background: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is a worldwide non-interventional study of stroke prevention in patients with non-valvular AF.

Methods And Results: 52,080 patients with newly diagnosed AF were prospectively enrolled from 2010 to 2016. 4121 (7.

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Placental abruption: assessing trends in risk factors over time.

Arch Gynecol Obstet

November 2022

Department of Obstetrics and Gynecology, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, POB 151, 84101, Beer-Sheva, Israel.

Purpose: To evaluate changes in the independent contribution of different risk factors for placental abruption over time.

Methods: In this retrospective nested case-control study, trends of change in ORs for known risk factors for placental abruption occurring in three consecutive 8-year intervals were compared. A univariate assessment of factors associated with placental abruption and two multivariable logistic regression models were constructed to identify independent risk factors for placental abruption.

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