Common Anxiety Research Articles

Theoretical Investigation of Physicochemical Properties, Bioactivity, and Toxicity of Common Anxiety Medications

AbstractPhysicochemical properties, bioactivity scores, toxicity, chemical reactivity descriptor (GCRD), polarizability, and UV–vis spectroscopy of 10 common medicines used for the treatment of anxiety have been investigated to understand their activity and adverse effect in the human body. GCRD, polarizability, and UV–vis data of the drug molecules have been analyzed at the density functional M06‐2X/cc‐pVTZ level. Molinspiration, Osiris Property Explorer, and the SwissTargetPrediction tools have been used to study the molecular and physicochemical properties, drug likeness/bioactivity scores, and toxicity of the drug molecules. The calculated results show that all drug molecules have good bioavailability and are orally active, which corroborate with the clinical data. Most of the theoretical results are first reported, and the predicted results agree well with the clinical data and published reports wherever available. The calculated GCRD parameters confirm that chlordiazepoxide (D3) is the most reactive drug molecule. Drug likeness and drug score indicate that alprazolam (D1), chlordiazepoxide (D3), paroxetine (D7), and selegiline (D9) are safe medicines for humans. The predicted toxicities also substantiate the clinical data. The BOILED‐Egg plot illustrates that as alprazolam (D1) and paroxetine (D7) are the substrates of the P‐glycoprotein (PGP+), they are actively pumped up from the brain or to the gastrointestinal lumen.

The Incidence of Underlying Mental Health Disorders in a Facial Synkinesis Population.

Synkinesis is estimated to impact 10% to 50% of those with facial palsy. We aim to identify the incidence and factors associated with anxiety and depression in the facial synkinesis population. Prospective cohort study. Patients aged 18 and older with a diagnosis of facial synkinesis at a tertiary medical center were eligible for inclusion. Demographic variables were collected, and the following surveys were distributed: Synkinesis Assessment Questionnaire, Facial Clinimetric Evaluation Scale, Facial Disability Index, Center for Epidemiological Studies Depression Scale, and Fear of Negative Appearance Evaluation Scale. Patient videos were graded for physician perceived severity using the Electronic Facial Paralysis Assessment and Sunnybrook scale. Analysis of the overall incidence of anxiety and depression symptoms as well as the impact of demographic factors was performed using Pearson product moment correlation and regression modeling. One-hundred patients met inclusion criteria. Over 25% of patients met criteria for possible or probable depression and the most common appearance-related anxiety score was 30, indicating severe anxiety. Female gender, younger age, and previous history of anxiety and depression were associated with increased depression and anxiety scores at baseline with shorter duration of synkinesis also trending toward higher scores. Worse patient reported severity was also associated with increased depression and appearance-related anxiety scores. The overall prevalence of depression and appearance-related anxiety is relatively high in patients with facial synkinesis.

Impact of Benzodiazepine Delorazepam on Growth and Behaviour of Artemia salina Nauplii.

Benzodiazepines, a significant group of newly recognised water contaminants, are psychotropic medications prescribed for common anxiety symptoms and sleep disorders. They resist efficient degradation during sewage treatment and endure in aquatic environments. Their presence in aquatic matrices is increasing, particularly after the recent pandemic period, which has led many people to systematically use benzodiazepines to manage anxiety. In previous studies, an important interference of this class of drugs on both the larval and adult stages of some aquatic species has been demonstrated, with effects on behaviour and embryonic development. This study examined the influence of delorazepam, a diazepam metabolite, on Artemia salina development to gain insight into responses in naupliar larvae. Results demonstrated that treatments (1, 5, and 10 µg/L) increase the hatching percentage and induce a desynchronisation in growth. Mortality was only slightly increased (close to 10% at six days post-hatching), but lipid reserve consumption was modified, with the persistence of lipid globules at the advanced naupliar stages. Locomotory activity significantly decreased only at 10 µg/L treatment. No teratogenic effects were observed, though modest damages were noticed in the posterior trunk and eyes, two targets of environmental toxicity. The negative impact of delorazepam on Artemia salina adds to those already reported in other species of invertebrates and vertebrates, which are not yet considered targets of these drugs. This study underscores the need for further research and immediate attention to this class of contaminants and the importance of monitoring their presence during environmental risk assessments.

Exploring College-Aged Student Anxiety: Aggravating Factors and Coping Strategies

<i>Undergraduate college-aged students are increasingly experiencing anxiety. Yet, many struggle to cope effectively, resulting in poor school performance and compromised health and well-being. Our goal was to identify common anxiety-inducing and aggravating stressors, as well as preferred adaptive coping strategies, in this exploratory study to inform anxiety intervention development. A total of 19 undergraduate students (17 female and 2 male) were recruited. Students previously diagnosed or treated for anxiety by a clinician participated in a two-week, daily diary entry study. A total of 219 diary entries were transcribed and thematically analyzed for student reports of awareness variables and associated coping responses. Data were compared and triangulated. Framed by cognitive-behavioral approaches to anxiety and the transactional theory of stress and coping, we identified five primary categories of anxiety-inducing or aggravating stressors: academic time management and performance, communication anxiety, competing life stressors, others’ presence and problems, and </i><i>generalized uncertainty. In addition, we found that students primarily utilized adaptive coping strategies, employing a mix of intrapersonal (e.g., alone time, breaks, hobbies/music, and staying productive) and interpersonal techniques (e.g., hanging out with and talking with friends and family). Findings highlight common anxiety stressors and demonstrate preferred and efficacious coping strategies employed by students, providing valuable insight into best practices for student well-being interventions beyond a clinical setting to manage anxiety and improve student well-being.</i>

Treating the Anxious Teen: Research on the developing brain points to new approaches for helping young people with common anxiety disorders.

Treating the Anxious Teen: Research on the developing brain points to new approaches for helping young people with common anxiety disorders.

Association of sleep and generalized anxiety disorder in Korean adolescents

BackgroundGeneralized anxiety disorder (GAD) is a common anxiety disorder among adolescents, significantly impacting their concentration and learning capabilities. The connection between emotional well-being and sleep is well-established, and Korean adolescents are particularly prone to inadequate sleep. This study aimed to determine the association between sleep duration and GAD in Korean adolescents.MethodsThis study was conducted using data from 106,513 adolescents aged 12–18 years. Data from the 2020–2022 Korea Youth Risk Behavior Survey were used. Sleep duration was classified into five groups, based on an average sleep duration of 7–7.9 h in adolescents. Social jet lag was defined as a misalignment between an individual's biological and social clocks. Differences in sleep duration between weekdays and weekends, social jet lag, and bedtime were each classified into three categories. Multiple logistic regression analysis was performed to evaluate the association between sleep duration and GAD.ResultsComparing the five groups classified based on sleep duration, adolescents in the groups that slept less experienced a significant increase in the odds of developing GAD (adjusted odds ratio [aOR]: boys: 1.10 in the 6.0–6.9-h group, 1.14 in the 5.0–5.9-h group, and 1.23 in the ≤ 4.9-h group; girls: 1.05 in the 6.0–6.9-h group, 1.19 in the 5.0–5.9-h group, 1.22 in the ≤ 4.9-h group). Adolescents with poor sleep quality experienced more frequent instances of inadequate sleep (aOR: boys: 2.51; girls: 2.43).ConclusionsGAD is strongly associated with insufficient sleep. Consequently, it is imperative to assess and address GAD in adolescents with irregular sleep patterns.

Comprehensive Survey of Computer-Based Programs Impact on Adolescent Mental Health: Focusing on Depression and Anxiety

With computer-based programs, teen mental health, especially when it comes to sadness and worry, has become a major public health issue. This thorough study looks at the effects of these kinds of programs on teens, trying to figure out how well they work and what problems they might cause. In the first part, we look at previous research that has been done on how common sadness and anxiety are among teens. We also talk about how digital tools are becoming more important for mental health treatments. Key methods used to evaluate these programs, like randomized controlled trials and continuous studies, are looked at to get a full picture of how well they work. The next part talks about the different kinds of computer-based treatments that are out there, such as cognitive-behavioral therapy (CBT) apps, awareness programs, and virtual reality treatments. The exact ways each type of strategy works and the ideas behind them are talked about in terms of how they affect symptom decrease and mental health in general. The third part gives important information about the problems and restrictions of computer-based solutions. Things like obedience rates, privacy issues, and the digital gap are looked at to show what might get in the way of broad use and success. Finally, suggestions are made for future study and clinical practice, with a focus on how important it is to have strict evaluation methods and specific management strategies that are matched to the growth stages and cultural backgrounds of teens. As more people talk about how to use digital tools in mental health care, this poll adds to the conversation. It supports methods that are based on evidence and put both effectiveness and ethics first.

Effects of Virtual Reality on Pain and Anxiety During Children's Circumcision: A Systematic Review and Meta-Analysis

Circumcision-a common pediatric procedure-can cause significant pain and anxiety. Virtual reality has been proposed as a nonpharmacological intervention to alleviate these negative experiences. This systematic review and meta-analysis was conducted to evaluate the effects of virtual reality interventions on pain and anxiety in children undergoing circumcision. This study comprehensively searched PubMed, Embase, and Cochrane Library for articles published from database inception to October 2, 2023. Randomized controlled trials that investigated the effects of virtual reality interventions on pain and anxiety during circumcision in children were included. The Cochrane risk-of-bias tool was used to appraise the included studies. The primary outcomes were pain and anxiety scores. Three randomized controlled trials and four data sets involving a total of 224 children were included in our meta-analysis. Virtual reality interventions significantly reduced children's pain and anxiety scores. Virtual reality interventions are promising nonpharmacological strategies for alleviating children's pain and anxiety during circumcision. Pediatric healthcare professionals use virtual reality interventions to create a child-friendly and healthy healthcare environment.

Common Mental Disorders and Associated Factors During Pregnancy and the Postpartum Period in Indonesia: An Analysis of Data From the 2018 Basic Health Research.

A substantial proportion of women experience mental health challenges during pregnancy or the postpartum period. Common mental disorders (CMDs), including depression, anxiety, and obsessive-compulsive disorder, are prevalent. Identifying causes and associated risk factors is imperative for early intervention and the prevention of mental health issues. This study utilized data from the 2018 Basic Health Research, which was conducted nationwide in Indonesia, using a crosssectional approach. We focused on women aged 13-49 years who were currently or previously married, and had experienced pregnancy, including 8889 pregnant women and 77 012 women who had delivered between January 1, 2013 and August 31, 2018. The Self-Reporting Questionnaire-20 was employed to assess CMDs. Multivariate logistic regression was performed. The prevalence of CMDs in pregnant women was 12.6%, while postpartum mothers exhibited a prevalence of 10.1%. Poor health status displayed the strongest impact on CMDs during both pregnancy (adjusted odds ratio [aOR], 12.23; 95% confidence interval [CI], 9.01 to 16.60) and the postpartum period (aOR, 16.72; 95% CI, 14.85 to 18.82). Additional significant factors for both group include young maternal age, lack of education, unemployment, history of hypertension, and smoking status. Among pregnant women, CMDs was also associated with first-trimester pregnancy, previous pregnancy complications, and small upper arm circumference. For postpartum mothers, significant factors include living in rural areas, history of abortion, unwanted pregnancy, pregnancy complications, lack of antenatal care, spontaneous delivery, postpartum complications and contraceptive use. CMDs can impact in pregnant and postpartum women. Early diagnosis and management must be seamlessly integrated into primary healthcare practices.

Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working Group.

Specific phobia is a common anxiety disorder, but the literature on associated brain structure alterations exhibits substantial gaps. The ENIGMA Anxiety Working Group examined brain structure differences between individuals with specific phobias and healthy control subjects as well as between the animal and blood-injection-injury (BII) subtypes of specific phobia. Additionally, the authors investigated associations of brain structure with symptom severity and age (youths vs. adults). Data sets from 31 original studies were combined to create a final sample with 1,452 participants with phobia and 2,991 healthy participants (62.7% female; ages 5-90). Imaging processing and quality control were performed using established ENIGMA protocols. Subcortical volumes as well as cortical surface area and thickness were examined in a preregistered analysis. Compared with the healthy control group, the phobia group showed mostly smaller subcortical volumes, mixed surface differences, and larger cortical thickness across a substantial number of regions. The phobia subgroups also showed differences, including, as hypothesized, larger medial orbitofrontal cortex thickness in BII phobia (N=182) compared with animal phobia (N=739). All findings were driven by adult participants; no significant results were observed in children and adolescents. Brain alterations associated with specific phobia exceeded those of other anxiety disorders in comparable analyses in extent and effect size and were not limited to reductions in brain structure. Moreover, phenomenological differences between phobia subgroups were reflected in diverging neural underpinnings, including brain areas related to fear processing and higher cognitive processes. The findings implicate brain structure alterations in specific phobia, although subcortical alterations in particular may also relate to broader internalizing psychopathology.

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies

ObjectiveSuicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the prediction of suicide attempts.MethodA systematic review was performed using PubMed, Scopus, Web of Science and SID databases. We aim to evaluate the performance of ML algorithms and summarize their effects, gather relevant and reliable information to synthesize existing evidence, identify knowledge gaps, and provide a comprehensive list of the suicide risk factors using mixed method approach.ResultsForty-one studies published between 2011 and 2022, which matched inclusion criteria, were chosen as suitable. We included studies aimed at predicting the suicide risk by machine learning algorithms except natural language processing (NLP) and image processing.The neural network (NN) algorithm exhibited the lowest accuracy at 0.70, whereas the random forest demonstrated the highest accuracy, reaching 0.94. The study assessed the COX and random forest models and observed a minimum area under the curve (AUC) value of 0.54. In contrast, the XGBoost classifier yielded the highest AUC value, reaching 0.97. These specific AUC values emphasize the algorithm-specific performance in capturing the trade-off between sensitivity and specificity for suicide risk prediction.Furthermore, our investigation identified several common suicide risk factors, including age, gender, substance abuse, depression, anxiety, alcohol consumption, marital status, income, education, and occupation. This comprehensive analysis contributes valuable insights into the multifaceted nature of suicide risk, providing a foundation for targeted preventive strategies and intervention efforts.ConclusionsThe effectiveness of ML algorithms and their application in predicting suicide risk has been controversial. There is a need for more studies on these algorithms in clinical settings, and the related ethical concerns require further clarification.

Separation anxiety

Anxiety disorders are the most common mental disorders in children and are often under-recognized. Untreated anxiety disorders in children can significantly affect the quality of life. They can lead to comorbid psychiatric conditions and interfere with social, emotional and academic development, including in adulthood. Separation anxiety disorder is one of the most common childhood anxiety disorders. It involves an exaggeration of the anxiety typical for the developmental process and is manifested by excessive distress at separation from the attachment figure or family environment. The etiology of separation anxiety disorder points to the interaction of biological and environmental factors, particularly the family environment in early childhood. Diagnostic criteria for SAD are provided by DSM-V and are used in the comprehensive assessment of the disorder, in combination with other internationally validated assessment tools. The diagnosis provides essential information for the elaboration of the therapeutic approach by the clinical specialists. In this sense, there are conclusive data on the effectiveness of combining psychotherapy with pharmacotherapy to achieve lasting results. Furthermore, the importance of coordinating inter-professional efforts is essential for the effectiveness of the comprehensive approach to TAS.

Prevalence and comorbidity of anxiety disorder in school-attending children and adolescents aged 6–16 years in China

BackgroundThe reported prevalence rate of anxiety disorder in the paediatric population varies widely between different counties. Currently, there is no national epidemiological survey of childhood anxiety disorder in China. This...

VALIDITY AND RELIABILITY TESTS ON GENERALISED ANXIETY DISORDER DIAGNOSTIC SCALE

<span lang="EN-US">Generalized anxiety disorder is one of the most common anxiety disorders in society. The purpose of this study is to develop a diagnostic scale for generalized anxiety disorder because there is no self-report diagnostic tool for generalized anxiety disorder based on DSM-V and ICD-10 criteria in Indonesia. The items on the overall anxiety disorder scale have been tested use pre-tryout (readability test), content validity (S-CVI = 0.904) by a panel of judges, field tests on 210 adult participants aged 18-65 years which were then analyzed for validity (EFA and CFA) and reliability (alpha-cronbach = 0.911). This scale consists of 2 aspects, namely social-emotional symptoms and physiological symptoms with a total of 18 items that have satisfactory psychometric quality with construct model is unidimention. For further researchers, standardization and validation of criteria can be carried out by comparing this scale with the gold standard that is already available so that it can then be used in clinical practice</span>

Affect-Focused and Exposure-Focused Psychotherapies.

The authors discuss the two broad domains of affect-focused and exposure-focused psychotherapies, defining the characteristics and potential advantages and disadvantages of each. The two domains differ in their theoretical approaches, structures, and techniques. Exposure-focused therapies have come to dominate research and practice, leading to the relative neglect of affect-focused therapies. When the two approaches have been examined in well-conducted clinical trials, they generally appear to be equally beneficial for treating common mood, anxiety, and trauma disorders, although further research may better define differential therapeutics. The authors argue for better training in affect awareness and tolerance across psychotherapies and use a brief case vignette to illustrate several aspects of these different approaches.

What should a nation do to prevent common mental disorders? Meet seven conditions for effective prevention

The global burden of Common Mental Disorders (CMDs), including depressive, anxiety and substance use disorders, is substantial. Since increased treatment has not reduced CMD prevalence, prevention is a logical approach to reduce CMD burden. However, CMD prevention as currently delivered has not reduced prevalence. Seven conditions need to be met to maximize the long-term effectiveness of CMD prevention: 1. Target young persons early in life and families. 2. Modify major CMD risk and protective factors. 3. Embed in social institutions and culture. 4. Implement via synergistic programs of proven effectiveness in multiple community settings (pre-school and kindergarten, elementary and secondary schools, child and health care, social welfare/family support). 5. Secure long-term funding with permanent, structural integration into community organizations. 6. Address socio-economic disadvantage and attendant risk factors. 7. Use the power of policy. We consider how these conditions might be achieved in large populations. A dilemma is that compelling evidence regarding the benefits of CMD prevention may be needed to motivate large, long-term investments, but until society has made and sustained these investments for 10 to 20 years, full benefits of CMD prevention may not be realized. Therefore, we propose regional implementation and evaluation focused initially on proximal benefits for child development. Developmental determinants important to educators, parents and other stakeholders should be evaluated initially to establish short-term pay-offs for educational and behavioral outcomes. Long-term CMD prevention initiatives may not only prevent CMDs, but also develop resourceful, resilient, and well-educated children and adults.

Linking alcohol-involved sexual assault to negative emotional outcomes: the relative mediating roles of shame, self-compassion, fear of self-compassion, and self-blame.

Alcohol-involved sexual assault (AISA) survivors who were drinking at the time of the assault may be at risk of internalizing victim-blaming myths and stigma. Cognitive-behavioral models posit the link between AISA and negative emotional outcomes may be explained through maladaptive appraisals and coping - i.e., characterological and behavioral self-blame, shame, low self-compassion (i.e., high self-coldness, low self-caring), and fear of self-compassion. Using a cross-sectional design and community sample of younger adults (N = 409 Canadians, M = 28.2 years old, 51.3% women), we examined these mechanisms' unique effects in mediating the associations between AISA and posttraumatic stress, general anxiety, and depressive symptoms, respectively. In terms of gender differences, AISA was more common, self-coldness higher, and general anxiety symptoms more frequent in women, and fear of self-compassion was higher in men. Using structural equation modeling that controlled for gender and the overlap between outcomes, shame emerged as the strongest mediator linking AISA with all emotional outcomes. Fear of self-compassion also partially mediated the AISA-posttraumatic stress symptom association, self-coldness partially mediated the AISA-general anxiety symptom association, and characterological self-blame fully mediated the AISA-depressive symptom association. Avoidance-based processes, ruminative-/worry-based cognitions, and negative self-evaluative cognitions may be distinctly relevant for AISA-related posttraumatic stress, general anxiety, and depressive symptoms, respectively, after accounting for the overarching mediation through shame. These internalized stigma-related mechanisms may be useful to prioritize in treatment to potentially reduce AISA-related negative emotional outcomes, particularly for AISA survivors with posttraumatic stress, general anxiety, and/or depressive symptoms.

Neurologic manifestations of Long COVID in Colombia: a comparative analysis of post-hospitalization vs. non-hospitalized patients.

To analyze patient-reported outcomes, cognitive function, and persistent symptoms in patients with neurologic post-acute sequelae of SARS-CoV-2 infection (Neuro-PASC) in Colombia. We recruited patients with laboratory-confirmed COVID-19 and PASC symptoms lasting more than 6 weeks at the CES University and CES Clinic (Medellín, Colombia). We included 50 post-hospitalization Neuro-PASC (PNP) and 50 non-hospitalized Neuro-PASC (NNP) patients. Long-COVID symptoms, cognitive (NIH Toolbox v2.1-Spanish for 18+), patient-reported (PROMIS) outcomes, and relevant medical history were evaluated. Statistical analyses were performed via generalized linear models. Overall, brain fog (60%), myalgia (42%), and numbness or tingling (41%) were the most common neurological symptoms, while fatigue (74%), sleep problems (46%), and anxiety (44%) were the most common non-neurological symptoms. Compared to NNP, PNP patients showed a higher frequency of abnormal neurological exam findings (64% vs. 42%, p = 0.028). Both groups had impaired quality of life (QoL) in domains of cognition, fatigue, anxiety depression and sleep disturbance, and performed worse on processing speed and attention than a normative population. In addition, NNP patients performed worse on executive function than PNP patients (T-score 42.6 vs. 48.5, p = 0.012). PASC symptoms of anxiety and depression were associated with worse QoL and cognitive outcomes. Brain fog and fatigue remained persistent symptoms across all durations of Long COVID. Our findings highlight the high incidence and heterogeneity of the neurologic symptoms and impacts of Long COVID even more than 2 years from disease onset. Early detection, emotional support and targeted management of Neuro-PASC patients are warranted.

Prevalence and sociodemographic determinants of common mental disorders (CMDs) symptoms in a rural adult population of Haryana, North India.

Common mental disorders (CMDs), including depression, anxiety, and somatoform disorders, affect all stages of life and impact individuals, families, and communities. This study aimed to determine the magnitude of CMDs and their sociodemographic determinants in the adult population of a rural block in North India. A cross-sectional, quantitative, community-based study was conducted among adult residents of a rural block in Haryana, North India, using a multistage random sampling technique. The Hindi version of the General Health Questionnaire (GHQ-12), a well-validated tool, was used to screen participants for CMDs. Scores of 4 or above denoted the presence of CMDs. Bivariate analyses were performed to determine the associations between CMDs and sociodemographic characteristics. Of the 180 residents selected for the study, most were women (60.0%) and aged between 31 and 50 years (52.3%). The prevalence of CMDs symptoms in the study population was 20.0%. The presence of CMDs symptoms was significantly higher among those who were aged 60 years or older [OR=12.33, 95% CI 3.21-47.38], widowed, divorced or separated [OR=7.50, 95% CI 1.09-51.52], illiterate [OR= 6.25, 95% CI 2.84-13.77], had monthly family income below 10,000 INR [OR=3.33, 95% CI 1.54-7.20], had any chronic physical illness [OR=8.28, 95% CI 3.70-18.56] and had a family history of any psychiatric illness [OR=5.56, 95% CI 1.52-19.42]. The burden of CMDs was quite high among adults in rural North India. The presence of CMDs was closely associated with sociodemographic characteristics. Primary care and community-based settings need to screen for, diagnose, and manage CMDs to address this growing problem.

An Application of Yagna Pathy: A Spiritual, Cost-Effective, Indigenous Low-Intensity Psychological Intervention to Manage Common Mental Disorders: A Cross-Sectional Pilot Study in India.

Elements of Common Mental Disorders (CMD) like stress, depression and anxiety are significant contributors to the global burden of disease. Even though they affect people at all socioeconomic levels, most of those in the low-income and middle-income populations lack access to efficient psychological and pharmaceutical interventions. One potential solution to this issue is the application of indigenous low-intensity psychological interventions like Yagna Pathy. The current cross sectional pilot study includes a total of 426 heterogenous group of people suffering from Stress, Anxiety and Depression (both in normal and diseased range) received Yagna pathy for 30 days. The severity of the stress, anxiety and depression was evaluated using a validated depression, anxiety, and stress (DAS) score questionnaire. A significant association (chi square, p < 0.001) was found between the mental healing with gender and activity status of the participants. Strong inter-correlation (R2 > 0.7; p < 0.001) among features of stress, anxiety and depression also proved the manifoldness of the CMD. Improvements in DAS scores demonstrate the effectiveness of a well-directed Yagna practice maintained for a predetermined amount of time in managing stress, anxiety, and depression. The receiver operating characteristic (ROC) of the responses was also found to be "excellent". Therefore, the study showcased that indigenous practices like Yagna Pathy could effectively minimize the severity of CMD. This approach is non-medicated, non-invasive, and cost-effective, making it a practicable therapy for global implementation.