-
The Journal of International Medical... Jun 2024Pregabalin is a prescription medicine that has recently been approved for individuals who suffer from fibromyalgia, neuropathic pain, anxiety disorder, or epilepsy.... (Review)
Review
Pregabalin is a prescription medicine that has recently been approved for individuals who suffer from fibromyalgia, neuropathic pain, anxiety disorder, or epilepsy. Pregabalin has the side effects of dizziness, sleepiness, and angioedema. Pregabalin-induced rhabdomyolysis has been rarely reported, with only four reports to date. We report two cases of rhabdomyolysis after pregabalin treatment. A man aged older than 90 years presented with exhaustion, muscle aches, and a high serum creatine kinase concentration after taking 75 mg of pregabalin on the first day of treatment. A woman in her 90s with long-term use of pregabalin presented with considerably elevated serum creatine kinase concentrations. Both patients had a long history of taking statins. Pregabalin therapy was stopped, high-volume intravenous fluids were administered, and serum electrolytes were frequently checked. Alkalinisation was performed with excellent outcomes. The Naranjo Adverse Drug Reaction scale and previous research suggest an association between pregabalin and rhabdomyolysis. Clinicians should be alert to the possibility of rhabdomyolysis occurring with the use of pregabalin, especially when taking statins.
Topics: Humans; Pregabalin; Rhabdomyolysis; Female; Male; Aged, 80 and over; Analgesics; Creatine Kinase
PubMed: 38879799
DOI: 10.1177/03000605241257776 -
BMC Psychology Jun 2024Social media (SM), with its addictive nature and the accompanying psychosocial challenges such as stress, anxiety, and depression, is the primary factor exacerbating...
OBJECTIVE
Social media (SM), with its addictive nature and the accompanying psychosocial challenges such as stress, anxiety, and depression, is the primary factor exacerbating mental health problems and adversely impacting individuals' wellbeing. Our study's goal was to determine how SM affects employees' psychosocial behaviours and assess the various factors that contributed to the employee's excessive use of SM.
METHODS
A cross-sectional correlational analysis was conducted. Using a relevant questionnaire on employees, the study was assessed to establish the relationship or association between SM addiction and psychosocial disorders like depression, anxiety, and stress. 200 people with a minimum age of 24 were enrolled in the study. The questionnaire contained the social networking addiction scale (SNAS) and the depression, anxiety, and stress-21 (DASS-21) scales; the data were statistically assessed.
RESULTS
The association between SM addiction and psychosocial behaviours has been examined using statistical tools including descriptive statistics and the Chi-square analysis. SM addiction has a strong, statistically significant correlation with depression (p = 0.001), stress (p = 0.001), and anxiety (p = 0.001).
CONCLUSION
This study discovered a connection between SM use and depression, stress, and anxiety among working employees, raising questions regarding worries about overuse and addiction to SM. Various factors influencing excessive usage included revealed that employees also majorly over used SM for entertainment, boredom avoidance, constant knowledge sharing, and relationship-building.
Topics: Humans; Male; Adult; Female; Cross-Sectional Studies; Depression; Anxiety; Social Media; Stress, Psychological; Internet Addiction Disorder; Young Adult; Surveys and Questionnaires; Behavior, Addictive; Middle Aged
PubMed: 38879545
DOI: 10.1186/s40359-024-01850-2 -
Lancet (London, England) Jun 2024Persistent physical symptoms (synonymous with persistent somatic symptoms) is an umbrella term for distressing somatic complaints that last several months or more,... (Review)
Review
Persistent physical symptoms (synonymous with persistent somatic symptoms) is an umbrella term for distressing somatic complaints that last several months or more, regardless of their cause. These symptoms are associated with substantial disability and represent a major burden for patients, health-care professionals, and society. Persistent physical symptoms can follow infections, injuries, medical diseases, stressful life events, or arise de novo. As symptoms persist, their link to clearly identifiable pathophysiology often weakens, making diagnosis and treatment challenging. Multiple biological and psychosocial risk factors and mechanisms contribute to the persistence of somatic symptoms, including persistent inflammation; epigenetic profiles; immune, metabolic and microbiome dysregulation; early adverse life experiences; depression; illness-related anxiety; dysfunctional symptom expectations; symptom focusing; symptom learning; and avoidance behaviours, with many factors being common across symptoms and diagnoses. Basic care consists of addressing underlying pathophysiology and using person-centred communication techniques with validation, appropriate reassurance, and biopsychosocial explanation. If basic care is insufficient, targeted psychological and pharmacological interventions can be beneficial. A better understanding of the multifactorial persistence of somatic symptoms should lead to more specific, personalised, and mechanism-based treatment, and a reduction in the stigma patients commonly face.
Topics: Humans; Medically Unexplained Symptoms; Somatoform Disorders; Risk Factors
PubMed: 38879263
DOI: 10.1016/S0140-6736(24)00623-8 -
Eating Behaviors Jun 2024To examine rates and predictors of attrition from referral through to treatment completion in an outpatient public psychology service's eating disorder program in Perth,...
OBJECTIVE
To examine rates and predictors of attrition from referral through to treatment completion in an outpatient public psychology service's eating disorder program in Perth, Western Australia.
METHOD
The proportion (number) of clients (N = 671; mean age = 23.8 years) transitioning between stages of pre-treatment and treatment was identified. Associations between demographic, treatment and clinical variables and attrition were investigated using logistic regression.
RESULTS
Only 34% (n = 230) of referred patients started treatment and 16% (n = 107) completed treatment. Referral acceptance was correlated with provisional diagnoses that meet the service's inclusion criteria, and attendance at an initial assessment was correlated with younger age. Treatment commencement was correlated with the presence of a co-occurring depressive or anxiety disorder, and no previous suicide attempts. Completing a full course of treatment was correlated with no previous hospitalisation for psychiatric issues, no previous suicide attempts, a history of psychiatric medication use, and treatment with family-based therapy.
DISCUSSION
High rates of attrition were found from referral to treatment completion. A suggested framework for defining the different stages of attrition is proposed to allow for consistency of attrition reporting across the mental health field. Future studies are needed to identify why clients disengage following referral, assessment, and treatment commencement, to inform strategies to engage and sustain engagement and to optimise outcomes.
PubMed: 38878603
DOI: 10.1016/j.eatbeh.2024.101898 -
BMC Psychiatry Jun 2024Coronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders...
BACKGROUND
Coronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders that substantially impact global health. Iran ranks among the countries with a high incidence of CAD and anxiety disorders. Therefore, the present study aims to determine the potential association and epidemiological aspects of anxiety and CAD within the population of Mashhad, the second most popoulos city in Iran.
METHODS
The present study is based on extracted data from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study which is a 10-year prospective cohort study intended to assess the effects of various CAD risk factors among Mashhad city residents. Anxiety scores were assessed at the baseline using Beck Anxiety Inventory and individuals were classified based on the BAI 4-factor structure model which included autonomic, cognitive, panic, and neuromotor components. Accordingly, the association between baseline anxiety scores and the BAI four-factor model with the risk of CAD events was analyzed using SPSS software version 21.
RESULTS
Based on the results, 60.4% of the sample were female, and 5.6% were classified as having severe forms of anxiety. Moreover, severe anxiety was more prevalent in females. Results showed a 1.7% risk of CAD (p-value < 0.001) over 10 years with one unit increase in anxiety score. Based on the 4-factor model structure, we found that only panic disorder could significantly increase the risk of CAD by 1.1% over the 10-year follow-up (p-value < 0.001).
CONCLUSION
Anxiety symptoms, particularly panic disorder, are independently and significantly associated with an increased overall risk of developing CAD over a 10-year period. Therefore, further studies are warranted to investigate the mechanisms through which anxiety may cause CAD, as well as possible interventions to mitigate these processes.
Topics: Humans; Female; Male; Coronary Artery Disease; Middle Aged; Iran; Prospective Studies; Risk Factors; Adult; Anxiety Disorders; Anxiety; Aged; Prevalence; Psychiatric Status Rating Scales
PubMed: 38877499
DOI: 10.1186/s12888-024-05798-w -
BMC Psychiatry Jun 2024Depression is a pervasive mental health condition that affects individuals across various demographic categories, including imprisoned adults. The prevalence of mental...
INTRODUCTION
Depression is a pervasive mental health condition that affects individuals across various demographic categories, including imprisoned adults. The prevalence of mental health problems among inmates worldwide is considerably higher than in the general population, and it is estimated that 11% of inmates have significant mental disorders, such as anxiety and depression. This study aimed to find out the prevalence of depression and factors associated with it among the prisoners of Gandaki Province, Nepal.
METHODS
A descriptive cross-sectional study was conducted among the inmates in Gandaki Province, Nepal. Data were collected from 223 inmates, who were recruited through systematic random sampling from eight district-level prisons. The Beck Depression Inventory-II was used to measure depression, with the cumulated score dichotomized into depressed and not-depressed categories. Additionally, a structured questionnaire was employed to capture socio-demographic and imprisonment-related variables. Bivariate and multivariable logistic regressions were performed to examine the factors associated with depression.
RESULTS
Findings revealed that 18.8% of the inmates exhibited symptoms of depression. Inmates with health problems [(adjusted odds ratio (aOR) = 2.39], suicide ideation during imprisonment (aOR = 4.37), and attempted suicide before imprisonment (aOR = 7.97) had a statistically significant relationship with depression. This study revealed a notable prevalence of depression among incarcerated individuals in the Gandaki Province of Nepal.
CONCLUSION
The findings imply a crucial need for psychosocial and rehabilitative interventions to enhance inmates' mental health and overall well-being.
Topics: Humans; Nepal; Cross-Sectional Studies; Prisoners; Male; Adult; Prevalence; Depression; Female; Middle Aged; Young Adult; Suicidal Ideation; Psychiatric Status Rating Scales; Suicide, Attempted; Adolescent
PubMed: 38877458
DOI: 10.1186/s12888-024-05896-9 -
BMC Pregnancy and Childbirth Jun 2024Postpartum depression is a complex mental health condition that often occurs after childbirth and is characterized by persistent sadness, anxiety, and fatigue. Recent...
BACKGROUND
Postpartum depression is a complex mental health condition that often occurs after childbirth and is characterized by persistent sadness, anxiety, and fatigue. Recent research suggests a metabolic component to the disorder. This study aims to investigate the causal relationship between blood metabolites and postpartum depression using mendelian randomization (MR).
METHODS
This study used a bi-directional MR framework to investigate the causal relationship between 1,400 metabolic biomarkers and postpartum depression. We used two specific genome-wide association studies datasets: one with single nucleotide polymorphisms data from mothers diagnosed with postpartum depression and another with blood metabolite data, both of which focused on people of European ancestry. Genetic variants were chosen as instrumental variables from both datasets using strict criteria to improve the robustness of the MR analysis. The combination of these datasets enabled a thorough examination of genetic influences on metabolic profiles associated with postpartum depression. Statistical analyses were conducted using techniques such as inverse variance weighting, weighted median, and model-based estimation, which enabled rigorous causal inference from the observed associations. postpartum depression was defined using endpoint definitions approved by the FinnGen study's clinical expert groups, which included leading experts in their respective medical fields.
RESULTS
The MR analysis identified seven metabolites that could be linked to postpartum depression. Out of these, one metabolite was found to be protective, while six were associated with an increased risk of developing the condition. The results were consistent across multiple MR methods, indicating a significant correlation.
CONCLUSIONS
This study emphasizes the potential of metabolomics for understanding postpartum depression. The discovery of specific metabolites associated with the condition sheds new insights on its pathophysiology and opens up possibilities for future research into targeted treatment strategies.
Topics: Humans; Depression, Postpartum; Female; Mendelian Randomization Analysis; Genome-Wide Association Study; Polymorphism, Single Nucleotide; Metabolomics; Biomarkers; Adult; White People; Pregnancy
PubMed: 38877415
DOI: 10.1186/s12884-024-06628-3 -
Communications Biology Jun 2024Benzodiazepines, commonly used for anxiolytics, hinder conditioned fear extinction, and the underlying circuit mechanisms are unclear. Utilizing remimazolam, an...
Benzodiazepines, commonly used for anxiolytics, hinder conditioned fear extinction, and the underlying circuit mechanisms are unclear. Utilizing remimazolam, an ultra-short-acting benzodiazepine, here we reveal its impact on the thalamic nucleus reuniens (RE) and interconnected hippocamposeptal circuits during fear extinction. Systemic or RE-specific administration of remimazolam impedes fear extinction by reducing RE activation through A type GABA receptors. Remimazolam enhances long-range GABAergic inhibition from lateral septum (LS) to RE, underlying the compromised fear extinction. RE projects to ventral hippocampus (vHPC), which in turn sends projections characterized by feed-forward inhibition to the GABAergic neurons of the LS. This is coupled with long-range GABAergic projections from the LS to RE, collectively constituting an overall positive feedback circuit construct that promotes fear extinction. RE-specific remimazolam negates the facilitation of fear extinction by disrupting this circuit. Thus, remimazolam in RE disrupts fear extinction caused by hippocamposeptal intermediation, offering mechanistic insights for the dilemma of combining anxiolytics with extinction-based exposure therapy.
Topics: Fear; Animals; Benzodiazepines; Hippocampus; Extinction, Psychological; Male; Midline Thalamic Nuclei; Rats; Anti-Anxiety Agents; Mice
PubMed: 38877285
DOI: 10.1038/s42003-024-06417-w -
JMIR AI Oct 2023Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying...
BACKGROUND
Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying the factors most tied to HCWs' psychological challenges is crucial to addressing HCWs' mental health needs effectively, now and for future large-scale events.
OBJECTIVE
In this study, we used natural language processing methods to examine deidentified psychotherapy transcripts from telemedicine treatment during the initial wave of COVID-19 in the United States. Psychotherapy was delivered by licensed therapists while HCWs were managing increased clinical demands and elevated hospitalization rates, in addition to population-level social distancing measures and infection risks. Our goal was to identify specific concerns emerging in treatment for HCWs and to compare differences with matched non-HCW patients from the general population.
METHODS
We conducted a case-control study with a sample of 820 HCWs and 820 non-HCW matched controls who received digitally delivered psychotherapy in 49 US states in the spring of 2020 during the first US wave of the COVID-19 pandemic. Depression was measured during the initial assessment using the Patient Health Questionnaire-9, and anxiety was measured using the General Anxiety Disorder-7 questionnaire. Structural topic models (STMs) were used to determine treatment topics from deidentified transcripts from the first 3 weeks of treatment. STM effect estimators were also used to examine topic prevalence in patients with moderate to severe anxiety and depression.
RESULTS
The median treatment enrollment date was April 15, 2020 (IQR March 31 to April 27, 2020) for HCWs and April 19, 2020 (IQR April 5 to April 27, 2020) for matched controls. STM analysis of deidentified transcripts identified 4 treatment topics centered on health care and 5 on mental health for HCWs. For controls, 3 STM topics on pandemic-related disruptions and 5 on mental health were identified. Several STM treatment topics were significantly associated with moderate to severe anxiety and depression, including working on the hospital unit (topic prevalence 0.035, 95% CI 0.022-0.048; P<.001), mood disturbances (prevalence 0.014, 95% CI 0.002-0.026; P=.03), and sleep disturbances (prevalence 0.016, 95% CI 0.002-0.030; P=.02). No significant associations emerged between pandemic-related topics and moderate to severe anxiety and depression for non-HCW controls.
CONCLUSIONS
The study provides large-scale quantitative evidence that during the initial wave of the COVID-19 pandemic, HCWs faced unique work-related challenges and stressors associated with anxiety and depression, which required dedicated treatment efforts. The study further demonstrates how natural language processing methods have the potential to surface clinically relevant markers of distress while preserving patient privacy.
PubMed: 38875560
DOI: 10.2196/47223 -
Medicine Jun 2024Coronary heart disease (CHD) is a significant global health concern, particularly among the elderly. While care bundles present a comprehensive strategy for clinical... (Observational Study)
Observational Study
Effect of care bundles based on importance degree analysis on postoperative comorbid state, coping style and disease management ability of patients with coronary heart disease.
Coronary heart disease (CHD) is a significant global health concern, particularly among the elderly. While care bundles present a comprehensive strategy for clinical disorders, their application in CHD rehabilitation remains understudied. This research addresses this gap by investigating the effectiveness of care bundles in CHD patients. By analyzing important performance degrees, we aim to contribute valuable insights to bridge existing knowledge deficiencies. Our study strives to establish a theoretical foundation for the broader implementation of care bundles, potentially improving the quality of care and patient outcomes in CHD rehabilitation. This is a retrospective study. 360 patients with CHD who were admitted to our hospital from January 2019 to October 2022 were enrolled in this retrospective study and divided into the observation group (n = 180) and control group (n = 180) according to the different care that they received. All cases were given routine nursing after CHD operation, and the observation group was given care bundles on the basis of the analysis of important performance degrees. The perioperative indexes, self-management ability score, depression, anxiety, stress scale (DASS), coping styles, medical compliance and the incidence of complications were compared between the 2 groups. Aftercare, the time of hospitalization and getting out-of-bed in the observation group was notably shorter (P < .05). Aftercare, the scores of self-management ability and related dimensions in the observation group were notably higher (P < .05). After care, the score of depression (P < .001), anxiety (P = .003) and stress (P = .017) of the observation group were notably lower. Aftercare, the observation group face score was significantly higher than the control group (P = .005), while the observation group avoidance score (P = .028) and yield score (P < .001) were significantly lower than the control group scores. Aftercare, the compliance behavior of patients in the observation group was notably better (P = .013). Aftercare, the incidence of complications in the observation group was notably lower (P = .039). Care bundles based on the degree of importance analysis can play a positive role in postoperative comorbid state, coping styles and self-management ability of patients with CHD, which can improve the rehabilitation effects on patients.
Topics: Humans; Male; Female; Coronary Disease; Retrospective Studies; Adaptation, Psychological; Middle Aged; Aged; Patient Care Bundles; Comorbidity; Postoperative Complications; Disease Management
PubMed: 38875408
DOI: 10.1097/MD.0000000000038320