Objectives: To estimate the 6-month prevalence of generalized anxiety disorder (GAD) in primary care patients aged 70 years and above and to describe their clinical profile, including types of worries.
Methods/design: Participants (N = 1193) came from the Étude sur la Santé des Aînés (ESA) services study conducted in Quebec, Canada. An in-person structured interview was used to identify GAD and other anxiety/depressive disorders as well as to identify types of worries. Three groups were created (ie, patients with GAD, patients with another anxiety disorder, and patients without anxiety disorders) and compared on several sociodemographic and clinical characteristics using multinomial logistic regression analyses.
Results: The 6-month prevalence of GAD was 2.7%. Findings also indicated that the most common types of worries were about health, being a burden for loved ones, and losing autonomy. Compared with respondents without anxiety disorders, older patients with GAD were more likely to be women, be more educated, suffer from depression, use antidepressants, be unsatisfied with their lives, and use health services. In comparison with respondents with another anxiety disorder, those with GAD were 4.5 times more likely to suffer from minor depression.
Conclusions: GAD has a high prevalence in primary care patients aged 70 years and above. Clinicians working in primary care settings should screen for GAD, since it remains underdiagnosed. In addition, it may be associated with depression and life dissatisfaction. Screening tools for late-life GAD should include worry themes that are specific to aging.
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http://dx.doi.org/10.1002/gps.5023 | DOI Listing |
Neurosci Biobehav Rev
January 2025
Department of Psychology, Sapienza University of Rome, Rome, Italy; Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy. Electronic address:
Introduction: Brain and sleep development in childhood shapes emotional and cognitive growth, including the ability to recall dreams. In line with the continuity hypothesis of dreaming, several findings suggest a link between clinical symptoms and nightmare frequency. Sleep disorders and anxiety are among the most frequently co-occurring conditions in children and adolescents with autism spectrum disorder (ASD).
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Center for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA; Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA. Electronic address:
Background: A knowledge gap exists in understanding the role of social isolation as a determinant of mental health among hybrid employees during the COVID-19 era.
Methods: Using 2024 Household Pulse Survey data, we investigated the relationship between social isolation and mental health among US hybrid employees. We assessed depression symptoms using the Patient Health Questionnaire-2 and anxiety symptoms using the Generalized Anxiety Disorder-2.
Addict Behav
January 2025
Research Center for Medicine and Social Development, School of Public Health, Chongqing Medical University, Chongqing, China. Electronic address:
Depression and anxiety are often comorbid among adolescents. Adolescent screen time changes over time. This study investigates the association between screen time trajectories and the comorbidity of depression and anxiety from a longitudinal perspective.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. Electronic address:
Background: Microstate characterization of electroencephalogram (EEG) is a data-driven approach to explore the functional changes and interrelationships of multiple brain networks on a millisecond scale. This study aimed to explore the pathological changes of whole-brain functional networks in patients with obsessive-compulsive disorders (OCD) through microstate analysis and further to explore its potential value as an auxiliary diagnostic index.
Methods: Forty-eight OCD patients (33 with more than moderate anxiety symptoms, 15 with mild anxiety symptoms) and 52 healthy controls (HCs) were recruited.
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