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Journal of Clinical Medicine May 2024: Mental health and substance use disorders (MHDs and SUDs) affect cardiac allograft and VAD recipients and impact their quality of life and compliance. Limited research...
: Mental health and substance use disorders (MHDs and SUDs) affect cardiac allograft and VAD recipients and impact their quality of life and compliance. Limited research currently exists on MHDs and SUDs in this population. : This study compares the incidence of MHDs and SUDs in the transplant list, VAD, and post-transplant patients with that in heart failure patients. Study cohorts were derived from the TriNetX database using ICD-10 codes. Differences in incidence were examined using the log-rank test. Adults with MHDs and SUDs before the window of time were excluded. All comparisons were made between propensity-matched cohorts. Statistical significance was set at < 0.05. : Transplant waitlist patients showed a significant increase in the incidence of anxiety, depression, panic, adjustment, mood, alcohol use, and eating disorders. Post-transplant patients showed a significant increase in depression and opioid use. VAD patients showed a significant increase in depression and a decrease in panic disorder and anxiety. These results allow for further investigations on prevention and coping strategies. : The deterioration of mental health can significantly impact medication compliance, survival, and quality of life. Opioid use for pain management in the early postoperative period should be further investigated to assess its impact on long-term substance use and addiction.
PubMed: 38892862
DOI: 10.3390/jcm13113151 -
BMC Women's Health Jun 2024Observational data indicates a connection between emotional discomfort, such as anxiety and depression, and uterine fibroids (UFs). However, additional investigation is...
BACKGROUND
Observational data indicates a connection between emotional discomfort, such as anxiety and depression, and uterine fibroids (UFs). However, additional investigation is required to establish the causal relationship between them. Hence, we assessed the reciprocal causality between four psychological disorders and UFs utilizing two-sample Mendelian randomization (MR).
METHODS
To evaluate the causal relationship between four types of psychological distress (depressive symptoms, severe depression, anxiety or panic attacks, mood swings) and UFs, bidirectional two-sample MR was employed, utilizing single nucleotide polymorphisms (SNPs) associated with these conditions. Both univariate MR (UVMR) and multivariate MR (MVMR) primarily applied inverse variance weighted (IVW) as the method for estimating potential causal effects. Complementary approaches such as MR Egger, weighted median, simple mode, and weighted mode were utilized to validate the findings. To assess the robustness of our MR results, we conducted sensitivity analyses using Cochran's Q-test and the MR Egger intercept test.
RESULTS
The results of our UVMR analysis suggest that genetic predispositions to depressive symptoms (Odds Ratio [OR] = 1.563, 95% Confidence Interval [CI] = 1.209-2.021, P = 0.001) and major depressive disorder (MDD) (OR = 1.176, 95% CI = 1.044-1.324, P = 0.007) are associated with an increased risk of UFs. Moreover, the IVW model showed a nominally significant positive correlation between mood swings (OR: 1.578; 95% CI: 1.062-2.345; P = 0.024) and UFs risk. However, our analysis did not establish a causal relationship between UFs and the four types of psychological distress. Even after adjusting for confounders like body mass index (BMI), smoking, alcohol consumption, and number of live births in the MVMR, the causal link between MDD and UFs remained significant (OR = 1.217, 95% CI = 1.039-1.425, P = 0.015).
CONCLUSIONS
Our study presents evidence supporting the causal relationship between genetic susceptibility to MDD and the incidence of UFs. These findings highlight the significance of addressing psychological health issues, particularly depression, in both the prevention and treatment of UFs.
Topics: Humans; Mendelian Randomization Analysis; Female; Leiomyoma; Polymorphism, Single Nucleotide; Depression; Psychological Distress; Genetic Predisposition to Disease; Anxiety; Uterine Neoplasms; Causality; Panic Disorder
PubMed: 38890689
DOI: 10.1186/s12905-024-03196-8 -
Reviews on Environmental Health Jun 2024The fifth generation, 5G, for wireless communication is currently deployed in Sweden since 2019/2020, as well as in many other countries. We have previously published... (Review)
Review
The fifth generation, 5G, for wireless communication is currently deployed in Sweden since 2019/2020, as well as in many other countries. We have previously published seven case reports that include a total of 16 persons aged between 4 and 83 years that developed the microwave syndrome within short time after being exposed to 5G base stations close to their dwellings. In all cases high radiofrequency (RF) radiation from 4G/5G was measured with a broadband meter. RF radiation reached >2,500,000 to >3,180,000 μW/m in peak maximum value in three of the studies. In total 41 different health issues were assessed for each person graded 0 (no complaint) to 10 (worst symptoms). Most prevalent and severe were sleeping difficultly (insomnia, waking night time, early wake-up), headache, fatique, irritability, concentration problems, loss of immediate memory, emotional distress, depression tendency, anxiety/panic, dysesthesia (unusual touched based sensations), burning and lancinating skin, cardiovascular symptoms (transitory high or irregular pulse), dyspnea, and pain in muscles and joints. Balance disorder and tinnitus were less prevalent. All these symptoms are included in the microwave syndrome. In most cases the symptoms declined and disappeared within a short time period after the studied persons had moved to a place with no 5G. These case histories are classical examples of provocation studies. They reinforce the urgency to inhibit the deployment of 5G until more safety studies have been performed.
PubMed: 38889394
DOI: 10.1515/reveh-2024-0017 -
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 -
Revista Brasileira de Psiquiatria (Sao... Jun 2024Panic disorder (PD) is a common disabling condition characterized by recurrent panic attacks. Emotional and behavioral impairments are associated with functional...
BACKGROUND
Panic disorder (PD) is a common disabling condition characterized by recurrent panic attacks. Emotional and behavioral impairments are associated with functional connectivity (FC) and network abnormalities. We used the whole brain FC, modular networks, and graph-theory analysis to investigate extensive network profiles in PD.
METHOD
The functional MRI data from 82 PD and 97 controls were included. Intrinsic FC between each pair of 160 regions, 6 intra-networks, and 15 inter-networks were analyzed. The topological properties were explored.
RESULTS
PD patients showed altered FCs within the right insula, between frontal cortex-posterior cingulate cortex (PCC), frontal cortex-cerebellum, and PCC-occipital cortex (corrected P values < 0.001). Lower connections within the Sensorimotor Network (SMN) and SMN-Occipital Network (OCN) were detected (P values < 0.05). Various decreased global and local network features were found in PD (P values < 0.05). In addition, significant correlations were found between PD symptoms and nodal efficiency (Ne) in the insula (r = -0.273, P = 0.016), and the FC of the intra-insula (r = -0.226, P = 0.041).
CONCLUSIONS
PD patients present with abnormal functional brain networks, especially the decreased FC and Ne within insula, suggesting that dysfunction of information integration plays an important role in PD.
PubMed: 38870426
DOI: 10.47626/1516-4446-2023-3520 -
PCN Reports : Psychiatry and Clinical... Mar 2024To date, only a few reports of anti-LGI1 encephalitis with isolated psychiatric symptoms in the initial phase have been reported. We present a relatively rare case of...
BACKGROUND
To date, only a few reports of anti-LGI1 encephalitis with isolated psychiatric symptoms in the initial phase have been reported. We present a relatively rare case of antileucine-rich glioma-inactivated 1 (LGI1) encephalitis that developed only psychiatric symptoms at the onset.
CASE PRESENTATION
The patient was a male in his 40s who developed anxiety and panic symptoms and was started on antidepressants after being diagnosed with panic disorder by a psychiatrist. He visited our hospital 2 months later presenting with hallucinations, delusions, mild cognitive decline, and faciobrachial dystonic seizures in the left upper extremity and face. Fluid-attenuated inversion recovery magnetic resonance imaging revealed swelling and hyperintensities in the right caudate nucleus and putamen. Cerebrospinal fluid analysis did not show increased protein levels or cell counts and revealed positive oligoclonal bands. Subsequently, positive results for anti-LGI1 antibodies were observed in the cerebrospinal fluid. Therefore, the patient was diagnosed with anti-LGI1 encephalitis.
CONCLUSION
This case highlights the need to consider anti-LGI1 encephalitis therapy in patients with acute-onset psychiatric symptoms.
PubMed: 38868479
DOI: 10.1002/pcn5.181 -
Frontiers in Psychiatry 2024The Royal Canadian Mounted Police (RCMP) Study includes longitudinal multimodal assessments of RCMP cadets from pre-training (i.e., starting the Cadet Training Program...
OBJECTIVE
The Royal Canadian Mounted Police (RCMP) Study includes longitudinal multimodal assessments of RCMP cadets from pre-training (i.e., starting the Cadet Training Program [CTP]) to post-deployment and for five years thereafter. The data allow for investigating the multidimensionality of volitional participation in digital health data collection frameworks within serial data collection platforms and the impact of participation inequalities by classifying cadets using the 90-9-1 rule. By classifying cadets as Lurkers, Contributors, and Superusers formally described by the 90-9-1 rule, where 90% of actors do not participate, 9% seldom contribute, and 1% contribute substantially allows for the assessing of relationships between participation inequalities in self-monitoring behaviors as well as whether mental health disorder symptoms at pre-training (i.e., starting the CTP) were associated with subsequent participation.
METHODS
Participants were asked to complete a Full Assessment prior to their training at CTP, as well as short daily surveys throughout their training. Participation frequency was described using a process where participants were rank ordered by the number of daily surveys completed and classified into one of three categories. Full assessment surveys completed prior to their training at CTP included screening tools for generalized anxiety disorder (GAD), major depressive disorder (MDD), posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), and panic disorder (PD). The Kruskal-Wallis H test was used to assess differences in participation rates between mental health disorder symptom screening groups for each measure at pre-training, and Spearman's Rho was used to test for associations amongst self-reported Full Assessment screening tool responses and the number of daily surveys completed during CTP.
RESULTS
There were 18557 daily survey records collected from 772 participants. The rank-ordering of cadets by the number of daily surveys completed produced three categories in line with the 90-9-1 rule: Superusers who were the top 1% of cadets (=8) and produced 6.4% of all recordings; Contributors who were the next 9% of cadets (=68) and produced 49.2% of the recordings; and Lurkers who were the next 90% of cadets (=695) and produced 44.4% of daily survey recordings. Lurkers had the largest proportion of positive screens for self-reported mental health disorders at pre-training.
CONCLUSION
The creation of highly individualized, population-based mental health injury programs has been limited by an incomplete understanding of the causal relationships between protective factors and mental health. Disproportionate rates of disengagement from persons who screen positive for mental health disorders further compounds the difficulty in understanding the relationships between training programs and mental health. The current results suggest persons with mental health challenges may be less likely to engage in some forms of proactive mental health training. The current results also provide useful information about participation, adherence, and engagement that can be used to inform evidence-based paradigm shifts in health-related data collection in occupational populations.
PubMed: 38863607
DOI: 10.3389/fpsyt.2024.1297953 -
The South African Journal of Psychiatry... 2023There are a wide range of neuropsychiatric conditions associated with human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). These mental...
BACKGROUND
There are a wide range of neuropsychiatric conditions associated with human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). These mental disorders may be unrecognised yet their presence can significantly affect outcome.
AIM
This study aimed to determine psychiatric comorbidity associated with HIV and AIDS.
SETTING
The HIV clinic of a tertiary hospital in North-Eastern Nigeria.
METHODS
A cross-sectional descriptive study consecutively recruiting 328 adult persons living with HIV. The Mini International Neuropsychiatric Interview and a sociodemographic questionnaire were administered to the participants.
RESULTS
Two-thirds of the respondents were females. The mean age (±s.d.) was 42 years (±11.24). Majority of the participants had World Health Organization stage 1 HIV disease. The prevalence of psychiatry comorbidity among our respondents was 82.9%. Social phobia was the leading disorder (69.8%). Others were mixed depression anxiety disorder (49.4%) and post-traumatic stress disorder (36.6%). Current psychosis was 27.7%, while major depressive disorder was 12.2%. Psychiatric comorbidity was significantly associated with male gender, religion, ethnicity, marital status and being unemployed with < 0.01. Human immunodeficiency virus stage was related to panic disorder with < 0.01, while viral load was significantly associated with depressive disorder with = 0.001.
CONCLUSION
Majority of our HIV patients attending the clinic have undetected psychiatric morbidity. Clinicians need to be aware of the features of major psychiatric disorders and refer appropriately for improved overall outcome.
CONTRIBUTION
This study contributes to the body of work on unrecognised psychiatric comorbidity in people living with HIV and AIDS, especially in North-Eastern Nigeria, identifying issues which are relevant to clinical practice and buttressing the need for integration of mental healthcare services into HIV treatment and prevention services.
PubMed: 38860146
DOI: 10.4102/sajpsychiatry.v29i0.2022 -
Journal of Clinical Medicine Research May 2024Attrition is an important problem in clinical practice and research. However, the predictors of dropping out from cognitive behavioral therapy (CBT) for panic disorder...
BACKGROUND
Attrition is an important problem in clinical practice and research. However, the predictors of dropping out from cognitive behavioral therapy (CBT) for panic disorder (PD) are not fully understood. In this study, we aimed to build a dropout prediction model for CBT for PD using machine learning (ML) algorithms.
METHODS
We treated 208 patients with PD applying group CBT. From baseline data, the prediction analysis was carried out using two ML algorithms, random forest and light gradient boosting machine. The baseline data included five personality dimensions in NEO Five Factor Index, depression subscale of Symptom Checklist-90 Revised, age, sex, and Panic Disorder Severity Scale.
RESULTS
Random forest identified dropout during CBT for PD showing that the accuracy of prediction was 88%. Light gradient boosting machine showed that the accuracy was 85%.
CONCLUSIONS
The ML algorithms could detect dropout after CBT for PD with relatively high accuracy. For the purpose of clinical decision-making, we could use this ML method. This study was conducted as a naturalistic study in a routine clinical setting. Therefore, our results in ML approach could be generalized to regular clinical settings.
PubMed: 38855785
DOI: 10.14740/jocmr5167 -
Neuropsychiatric Disease and Treatment 2024Despite the high prevalence of anxiety disorders in BD and its known impact on cognitive performance, the presence and severity of anxious symptoms is not systematically...
PURPOSE
Despite the high prevalence of anxiety disorders in BD and its known impact on cognitive performance, the presence and severity of anxious symptoms is not systematically evaluated in studies on cognition in BD. Our aim was to determine if attention and/or inhibition of cognitive interference in euthymic patients with type I Bipolar Disorder (BD-I) is affected by symptoms of anxiety.
PATIENTS AND METHODS
Eighty-seven euthymic BD-I patients were included. Patients with comorbidities other than Generalized Anxiety Disorder (GAD) or Panic Disorder (PD) were excluded. State anxiety was measured with the Brief Inventory of Anxious Responses and Situations (ISRA-B). Subjective cognitive performance was evaluated with the COBRA scale, attention with the Digit-Span Forward task and inhibition of cognitive interference was assessed with the StroopTest interference score. Multiple linear regression models were used to test if anxious symptoms were associated with attention or inhibition of cognitive interference, considering other known contributors for cognitive impairment.
RESULTS
Attention was unaffected by anxiety symptoms, but the overall regression for inhibition of cognitive interference was significant: years of schooling (β=1.12, p = 0.001), cognitive complaints (β=0.44, p = 0.008), and anxiety (β=-0.21, p = 0.017) explained 15% of the interference score of the Stroop test (R2 = 0.15).
CONCLUSION
Beyond residual affective symptoms, anxious symptoms seem to affect inhibition of cognitive interference. We recommend routine testing of anxiety when considering cognitive evaluations, especially when screening for cognitive deficits.
PubMed: 38855382
DOI: 10.2147/NDT.S457186