Depression and hostility have been separately related to indicators of sympathetic hyperactivation and parasympathetic hypoactivation. We examined the associations of depressive symptoms, hostility, and their interaction with pre-ejection period (PEP) and high frequency heart rate variability (HRV), specific indices of sympathetic and parasympathetic cardiac control, respectively. Healthy, young adults (N=120) completed questionnaires assessing depressive symptoms and hostility and underwent autonomic testing. Although main effects were not observed, a depressive symptoms×hostility interaction was detected for PEP (β=.25, p=.01). Simple slope analyses revealed that hostility was negatively related to PEP among individuals with low depressive symptoms but was not associated with PEP among those with mild-to-moderate depressive symptoms. No interaction effect was detected for high frequency HRV. Our findings suggest that depressive symptoms may moderate the link between hostility and sympathetic activation such that hostility is accompanied by sympathetic hyperactivation only when depressive symptoms are minimal.
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http://dx.doi.org/10.1016/j.ijpsycho.2011.07.018 | 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 PDFJ Integr Neurosci
December 2024
Department of Radiology, West China Second University Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.
CJC Open
December 2024
University of British Columbia, Vancouver, British Columbia, Canada.
Background: Myocardial infarction with no obstructive coronary arteries (MINOCA), and ischemia with no obstructive coronary arteries (INOCA), are female-predominant conditions; clinical trials are lacking to guide medical management for the common underlying vasomotor etiologies. Data on long-term outcomes of (M)INOCA patients following attendance at a women's heart centre (WHC) are lacking.
Methods: Women diagnosed with MINOCA (n = 51) or INOCA (n = 112) were prospectively followed for 3 years at the Leslie Diamond WHC (LDWHC) in Vancouver.
Psychol 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).
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