Background: Adult congenital heart disease (ACHD) patients face unique medical and social challenges that may contribute to psychological difficulties. The goals of this study were to identify predictors of symptoms of depression and anxiety and evaluate the prevalence of mood and anxiety disorders among North American ACHD patients.
Methods: In this cross-sectional study, consecutive patients were recruited from two ACHD outpatient clinics. All patients completed self-report psychosocial measures and a subset was randomly selected to participate in structured clinical interviews. Linear regression models were used to predict symptoms of depression and anxiety.
Results: A total of 280 patients (mean age=32 years; 52% female) completed self-report measures. Sixty percent had defects of moderate complexity and 31% had defects of great complexity. Significant predictors of depressive symptoms were loneliness (p<0.001), perceived health status (p<0.001), and fear of negative evaluation (p=0.02). Predictors of anxiety symptoms were loneliness (p<0.001) and fear of negative evaluation (p<0.001). Disease severity and functional class did not predict mood or anxiety symptoms. Fifty percent of interviewed patients (29/58) met diagnostic criteria for at least one lifetime mood or anxiety disorder, of whom 39% had never received any mental health treatment.
Conclusions: The results confirm an increased risk and under-treatment of mood and anxiety disorders in ACHD patients. Social adjustment and patient-perceived health status were more predictive of depression and anxiety than medical variables. These factors are modifiable and therefore a potential focus of intervention.
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http://dx.doi.org/10.1016/j.ijcard.2008.06.042 | DOI Listing |
J Integr Neurosci
December 2024
First Clinical Medical College, Shaanxi University of Chinese Medicine, 712046 Xianyang, Shaanxi, China.
The coexistence of anxiety or depression with coronary heart disease (CHD) is a significant clinical challenge in cardiovascular medicine. Recent studies have indicated that hypothalamic-pituitary-adrenal (HPA) axis activity could be a promising focus in understanding and addressing the development of treatments for comorbid CHD and anxiety or depression. The HPA axis helps to regulate the levels of inflammatory factors, thereby reducing oxidative stress damage, promoting platelet activation, and stabilizing gut microbiota, which enhance the survival and regeneration of neurons, endothelial cells, and other cell types, leading to neuroprotective and cardioprotective benefits.
View Article and Find Full Text PDFPsychol Res Behav Manag
December 2024
Department of Psychiatry, Sleep Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Purpose: Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in a network structure. This study aimed to examine the interconnections between family functioning, anxiety, and depression among vocational school students through network analysis approach.
Participants And Methods: A sample of 2728 higher vocational school students participated in a survey utilizing the Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire (PHQ-9).
Int J Ment Health Addict
December 2024
Department of Psychology, University of Waterloo, Waterloo, ON, Canada.
This study examined differences in quit attempts, 1-month quit success, and vaping status at follow-up among a cohort of 3709 daily smokers with and without depression, anxiety, and regular alcohol use who participated in both the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Surveys. At baseline, a survey with validated screening tools was used to classify respondents as having no, or one or more of the following: 1) depression, 2) anxiety, and 3) regular alcohol use. Multivariable adjusted regression analyses were used to examine whether baseline (2018) self-report conditions were associated with quit attempts; quit success; and vaping status by follow-up (2020).
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Government and Public Policy, Faculty of Contemporary Studies, National Defence University, Islamabad, Pakistan.
Introduction: Globally, one in five individuals faces unemployment, which substantially increases their risk of developing mental disorders. Understanding the relationship between unemployment and specific mental health outcomes is crucial for formulating effective policy interventions.
Methods: This study examines the relationship between unemployment and mental disorders across 201 countries from 1970 to 2020.
Front Public Health
December 2024
School of Sociology and Political Science, Anhui University, Hefei, Anhui, China.
Objective: To investigate the impact of freshmen's mental health on their short-and long-term academic performance, as well as to provide empirical evidence for improving university students' mental health intervention tactics and higher education quality.
Methods: A multiple regression model was used to analyze student data from 3 years of enrollment at M University in Fujian Province.
Results: Different mental health problems have a significant impact on academic performance, which varies by gender, enrollment year, and subject.
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