Background Psychiatric comorbidity with a chronic disease is linked with poor patient outcomes. Therefore, the current research assessed the correlation of rheumatoid arthritis (RA) with depression and anxiety disorders. Methodology A prospective observational study was undertaken at a public sector hospital between December 2020 to June 2021. All individuals who presented with rheumatoid arthritis were included in the study. A healthy cohort acted as the control group. Depression and anxiety were assessed using the Hamilton depression rating scale (HDRS) and the Hamilton anxiety rating scale (HAM-A), respectively. The patients were inquired about their gender, age, and duration of RA. Further stratification was done using the Chi-squared test. A p-value of <0.05 was decided as the cut-off for significance. All data from the patients were collected in a predefined pro forma. Results A total of 169 patients with RA and 85 healthy controls were enrolled in the study. The mean depression score among patients with RA was 19.65 ± 1.44 versus 14.4 ± 1.31 in the control group (p<0.001). Moreover, the mean anxiety score in patients with RA was 19.44 ± 2.4. About 71% of patients with RA were diagnosed with psychiatric issues, while only 7.1% of individuals in the control group had either depression or anxiety (p<0.0001). Furthermore, it was found that the majority of the patients with RA had depression with a frequency of 70 (58.3%), while only six participants in the control group had depression. None of the participants had moderate or severe depression. However, 16 (69.6%) patients with RA had major anxiety issues. In 27 patients, mixed anxiety-depression disease was diagnosed. Out of these, 23 (85.2%) had the depression-dominant mixed disorder. Conclusion The present study highlighted the alarming incidence of depression and anxiety among patients with RA. Furthermore, it also indicated the relationship between severity of psychiatric comorbidity with chronic rheumatoid arthritis in our population. Further large-scale studies are needed to ascertain the demographic confounders that may help predict psychiatric disorders among patients with RA.
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http://dx.doi.org/10.7759/cureus.23137 | 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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