Beck Anxiety Inventory: psychometric characteristics in a sample from the clinical Spanish population

Associations Between Brain-Gut Axis and Psychological Distress in Fibromyalgia: A Microbiota and Magnetic Resonance Imaging Study

An altered brain-gut axis is suspected to be one of the pathomechanisms in fibromyalgia (FM). This cross-sectional study investigated the associations among altered microbiota, psychological distress, and brain functional connectivity (FC) in FM. We recruited 25 FM patients and 25 healthy people in the present study. Psychological distress was measured using standardized questionnaires. Microbiota analysis was performed on the participants' stools. Functional magnetic resonance imaging data were acquired, and seed-based resting-state FC (rs-FC) analysis was conducted with the salience network nodes as seeds. Linear regression and mediation analyses evaluated microbiota, symptoms, and rs-FCs associations. We found altered microbiota diversity in FM, of which Phascolarctobacterium and Lachnoclostridium taxa increased the most and Faecalibacterium taxon decreased the most compared to controls. The Phascolarctobacterium abundance significantly predicted Beck depression inventory (BDI-II) scores in FM (β = 6.83; P = .033). Rs-FCs from salience network nodes were reduced in FM, of which rs-FCs from the right lateral rostral prefrontal cortex (RPFC) to the lateral occipital cortex, superior division right (RPFC-sLOC) could be predicted by BDI-II scores in patients (β = -.0064; P = .0054). In addition, the BDI-II score was a mediator in the association between Phascolarctobacterium abundance and rs-FCs of RPFC-sLOC (ab = -.06; 95% CI: -.16 to -9.10-3). In conclusion, microbial dysbiosis might be associated with altered neural networks mediated by psychological distress in FM, emphasizing the critical role of the brain-gut axis in FM's non-pain symptoms and supporting further analysis of mechanism-targeted therapies to reduce FM symptoms. PERSPECTIVE: Our study suggests microbial dysbiosis might be associated with psychological distress and the altered salience network, supporting the role of brain-gut axis dysfunction in fibromyalgia pathomechanisms. Further targeting therapies for microbial dysbiosis should be investigated to manage fibromyalgia patients in the future.

Somatic anxiety in patients with laryngopharyngeal reflux

Objective

This study aimed to evaluate the relationship between laryngopharyngeal reflux (LPR) and anxiety in patients with LPR.

Design

Prospective, case-control study.

Setting

This study was conducted at a tertiary care center.

Participants

Sixty-four patients with LPR and 60 healthy controls.

Methods

Patients with LPR and healthy individuals (N = 64 and N = 60) were enrolled in this study. The Beck Anxiety Inventory (BAI) and reflux symptom index (RSI) were used to evaluate anxiety and reflux-related symptoms, respectively. The BAI can be classified into somatic and subjective symptom scales. The prevalence of anxiety was compared between patients with LPR and healthy individuals. This study evaluated the relationship between BAI and RSI scores.

Results

No statistical difference was found in the prevalence of anxiety between patients with LPR and healthy individuals (42.2% vs. 33.3%). However, the somatic anxiety symptom score was statistically higher in patients with LPR than in healthy individuals (p = .047). We observed a correlation between RSI and somatic anxiety scores of BAI in patients with LPR (rho = 0.286, p = .021).

Conclusion

Patients with LPR had more severe somatic anxiety symptoms, and somatic anxiety was associated with their LPR-related symptoms.

Acceptance and commitment therapy for autistic adults: A randomized controlled pilot study in a psychiatric outpatient setting

LAY ABSTRACT

Autistic adults are often stressed and feel depressed or anxious. However, mental health programs that are suited for autistic adults are few. Acceptance and commitment therapy is a psychotherapy method that seems to help people feel better, although not thoroughly evaluated in autistic individuals. In this study, 20 autistic adults had 14 weeks of acceptance and commitment therapy group treatment suited for autism (NeuroACT), while 19 autistic adults had ordinary care. The acceptance and commitment therapy group treatment program seemed logical and reasonable to the participants. Also, when comparing the participants in the NeuroACT group with those in the ordinary care group, the NeuroACT participants reported less stress and higher quality of life. Compared to the ordinary care group, they could also manage distressing thoughts better, perceived themselves as more flexible, and did not avoid stressful situations as much as before. However, there was no significant difference between the groups in depression, anxiety, sleep problems, social aspects of autism, everyday functioning, or executive challenges. Slightly more NeuroACT participants did not finish the treatment than ordinary care participants. In conclusion, the NeuroACT program may be a treatment for autistic adults who feel stressed and have reduced quality of life. More studies are needed to see how helpful the NeuroACT program is for autistic adults.

Identification of Resting-State Network Functional Connectivity and Brain Structural Signatures in Fibromyalgia Using a Machine Learning Approach

Abnormal resting-state functional connectivity (rs-FC) and brain structure have emerged as pathological hallmarks of fibromyalgia (FM). This study investigated and compared the accuracy of network rs-FC and brain structural features in identifying FM with a machine learning (ML) approach. Twenty-six FM patients and thirty healthy controls were recruited. Clinical presentation was measured by questionnaires. After MRI acquisitions, network rs-FC z-score and network-based gray matter volume matrices were exacted and preprocessed. The performance of feature selection and classification methods was measured. Correlation analyses between predictive features in final models and clinical data were performed. The combination of the recursive feature elimination (RFE) selection method and support vector machine (rs-FC data) or logistic regression (structural data), after permutation importance feature selection, showed high performance in distinguishing FM patients from pain-free controls, in which the rs-FC ML model outperformed the structural ML model (accuracy: 0.91 vs. 0.86, AUC: 0.93 vs. 0.88). The combined rs-FC and structural ML model showed the best performance (accuracy: 0.95, AUC: 0.95). Additionally, several rs-FC features in the final ML model correlated with FM's clinical data. In conclusion, ML models based on rs-FC and brain structural MRI features could effectively differentiate FM patients from pain-free subjects.

The feasibility and acceptability of using smartphones to assess suicide risk among Spanish-speaking adult outpatients

OBJECTIVE

Hispanic/Latino adults, particularly Spanish speakers, are underserved in mental healthcare, and little is known about the day-to-day variation in their suicide risk. Smartphones have the potential to overcome geographical and linguistic barriers to mental health assessment and intervention. The purpose of the current study was to examine (a) the feasibility/acceptability of smartphone-based ecological momentary assessment (EMA) to assess suicide ideation and suicide risk factors among high-risk Spanish-speaking adults and (b) the degree of within-person variation of suicide ideation and suicide risk in this population.

METHOD

Sixteen primary Spanish-speaking psychiatry outpatients completed EMA measures of suicide ideation and suicide risk factors four times a day for 14 days.

RESULTS

A majority of participants consented to active and passive remote assessments and reported the acceptability of study procedures. Adherence to EMA was high and not associated with symptom severity. EMA instances completed were not associated with symptom severity at follow-up. Average point-to-point variability in suicide ideation and risk factors were moderate to high, respectively. EMA captured more dramatic changes than standard baseline and follow-up assessments.

CONCLUSIONS

Results provide preliminary support for the feasibility and acceptability of using smartphones to assess suicide risk in a real-time and real-world setting among high-risk Spanish-speaking adults.

Differential item functioning of the Beck Anxiety Inventory in a rural, multi-ethnic cohort

BACKGROUND

Evaluating measurement bias is vital to ensure equivalent assessment across diverse groups. One approach for evaluating test bias, differential item functioning (DIF), assesses item-level bias across specified groups by comparing item-level responses between groups that have the same overall score. Previous DIF studies of the Beck Anxiety Inventory (BAI) have only assessed bias across age, sex, and disease duration in monolingual samples. We expand this literature through DIF analysis of the BAI across age, sex, education, ethnicity, cognitive status, and test language.

METHODS

BAI data from a sample (n = 527, mean age=61.4 ± 12.7, mean education=10.9 ± 4.3, 69.3% female, 41.9% Hispanic/Latin American) from rural communities in West Texas, USA were analyzed. Item response theory (IRT) / logistic ordinal regression DIF was conducted across dichotomized demographic grouping factors. The Mann-Whitney U test and Hedge's g standardized mean differences were calculated before and after adjusting for the impact of DIF.

RESULTS

Significant DIF was demonstrated in 10/21 items. An adverse impact of DIF was not identified when demographics were assessed individually. Adverse DIF was identified for only one participant (1/527, 0.2%) when all demographics were aggregated.

LIMITATIONS

These results might not be generalizable to a sample with broader racial representation, more severe cognitive impairment, and higher levels of anxiety.

CONCLUSIONS

Minimal item-level bias was identified across demographic factors considered. These results support prior evidence that the BAI is valid for assessing anxiety across age and sex while contributing new evidence of its clinical relevance across education, ethnicity, cognitive status, and English/Spanish test language.

Psychometrics of the Spanish Version of the Screen for Adult Anxiety Related Disorders (SCAARED)

Objectives: To translate and validate the Screen for Adult Anxiety Related Disorders (SCAARED) questionnaire into Spanish. Method: The original SCAARED was translated into Spanish and administered to a non-clinical sample of 131 university students (92.4% women, mean age 22 years) in Valencia, Spain. To assess the concurrent validity of the SCAARED, the Depression, Anxiety and Stress Scale-21(DASS) and the Beck's Anxiety Inventory (BAI) were also administered. Test-retest reliability was evaluated 2 weeks after the first administration. Results: The internal consistency of SCAARED was high (α = 0.91) and the stability of the measurement was also high (test-retest 0.81). The results of the Exploratory Factor Analysis showed four factors comparable to the original SCAARED (generalized anxiety disorder, social phobia disorder, panic disorder, and separation anxiety disorder). The Area Under the Curve was excellent (0.88). Conclusions: The Spanish version of the SCAARED showed good psychometric properties comparable to the original SCAARED suggesting that it may be a useful instrument to screen for anxiety disorders in Spanish-speaking adult populations. Future studies are needed to replicate these findings in larger community and clinical samples.

Anxiety and Depression in Cyberbullied College Students: A Retrospective Study

Cyberbullying is a worldwide phenomenon and its effects can be severe. To better understand the personal and situational factors in cyberbullying, we approach it from the perspective of the general aggression model. More specifically, we analyze the medium and long-term impact of past experiences of cyberbullying on university students. We also compare their psychological adjustment with peers who have not been cyberbullied by examining the recall of cyberbullying while attending secondary school of 1,593 university students. Participants from a Spanish University (N = 680) and a Bolivian University (N = 913) were invited to participate by filling in an online survey. It included the School Violence Questionnaire-Revised, CUVE-R, to assess school and classroom climate in relation to bullying and cyberbullying, the Beck Depression Inventory, and the State-Trait Anxiety Inventory. Results show that among the participants, 5.1% reported having suffered cyberbullying and 19.3% reported having been a bystander of cyberbullying, with similar percentages between universities. Canonical correlation suggests that variables related to school climate best explain the variability among participants who have and have not been cyberbullied. Those who have been cyberbullied scored significantly higher on anxiety and depression symptoms as well. Being a bystander of cyberbullying was not associated to significant differences on psychological adjustment (i.e., anxiety and depression). Results indicated that experiencing cyberbullying in secondary school is associated to lower psychological adjustment years later as university students. School climate variables contribute more strongly to identifying victims of cyberbullying. These results support the need for psychosocial interventions from a broader perspective, addressing the different dimensions of this phenomenon and its impact on victims.

Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study

BACKGROUND

More recently, due to the coronavirus disease 2019 pandemic, health care workers have to deal with clinical situations wearing personal protective equipment (PPE); however, there is a question of whether everybody will tolerate PPE equally. The main objective of this study was to develop a risk model to predict whether health care workers will tolerate wearing PPE, C category, 4B/5B/6B type, during a 30-minute simulation.

METHODS

A nonexperimental simulation study was conducted at the Advanced Simulation Center, Faculty of Medicine, Valladolid University (Spain) from April 3rd to 28th, 2017. Health care students and professionals were equipped with PPE and performed a 30-minute simulation. Anthropometric, physiological, and analytical variables and anxiety levels were measured before and after simulation. A scoring model was constructed.

RESULTS

Ninety-six volunteers participated in the study. Half the sample presented metabolic fatigue in the 20 minutes after finishing the simulation. The predictive model included female sex, height, muscle and bone mass, and moderate level of physical activity. The validity of the main model using all the variables presented an area under the curve of 0.86 (95% confidence interval: 0.786-0.935), and the validity of the model had an area under the curve of 0.725 (95% confidence interval: 0.559-0.89).

CONCLUSIONS

Decision-making in biohazard incidents is a challenge for emergency team leaders. Knowledge of health care workers' physiological tolerance of PPE could improve their performance.

"We can't carry the weight of the whole world": illness experiences among Peruvian older adults with symptoms of depression and anxiety

BACKGROUND

Despite the high levels of depression and anxiety symptoms in old age, the use of mental health services in this population is low. Help-seeking behaviors are shaped by how an individual perceives and experiences their illness. The objective of this study was to characterize the illness experiences of Peruvian older adults with depression and anxiety symptoms in order to lay the foundation for tailored community-based mental health interventions.

METHODS

In this qualitative study, we conducted in-depth interviews with a purposively selected sample of older adults (≥ 60 years) from peri-urban areas of Lima, Peru. We included individuals with only depressive symptoms (Patient Health Questionnaire-9 ≥ 10), only anxiety symptoms (Beck Anxiety Inventory ≥ 16), with depressive and anxiety symptoms, and older adults who mentioned they had received mental health treatment/care. The interview guide included the following topics: perceptions and experiences about depression and anxiety; perceptions about the relationship between physical chronic diseases and mental health; experiences with mental health professionals and treatments, and coping mechanisms. Data collection was conducted between October 2018 and February 2019.

RESULTS

We interviewed 38 participants (23 women, 15 men) with a mean age of 67.9 years. Participants' ideas and perceptions of depression and anxiety showed considerable overlap. Participants attributed depression and anxiety mainly to familial and financial problems, loneliness, loss of independence and past traumatic experiences. Coping strategies used by older adults included 'self-reflection and adaptation' to circumstances, 'do your part', and seeking 'emotional support' mainly from non-professionals (relatives, friends, acquaintances, and religion).

CONCLUSIONS

Illness experiences of depression and anxiety set the pathway for tailored community-based mental health interventions for older adults. Overlapping narratives and perceptions of depression and anxiety suggest that these conditions should be addressed together. Mental health interventions should incorporate addressing areas related to depression and anxiety such as prevention of loss of independence, trauma, and loneliness. Good acceptability of receiving emotional support for non-professionals might offer an opportunity to incorporate them when delivering mental health care to older adults.

Effects of a patient-centered program including the cumulative-complexity model in women with chronic pelvic pain: a randomized controlled trial

OBJECTIVES

To evaluate the effects of a patient-centered intervention including the cumulative-complexity model on quality of life related to health, coping behaviors, pain, self-perceived occupational performance and activity levels.

STUDY DESIGN

Randomized controlled trial. Forty-four women with a clinical diagnosis of chronic pelvic pain were randomized into two groups. Patients in the experimental group (n = 22) were included in a patient-centered intervention that involved relevant activities proposed by participants. Patients in the control group (n = 22) received a leaflet with information about chronic pelvic pain, physical activity, fear of movement, false beliefs, active lifestyle and behavioral advice.

MAIN OUTCOME MEASURES

The primary outcome measures were health-related quality of life assessed with the EuroQol-5D and coping behavior using the Coping Strategies Questionnaires. Secondary outcomes included severity of pain using a Visual Analogue Scale, self-perception of occupational performance using the Canadian Occupational Performance Measure and physical activity levels assessed by the International Physical Activity Questionnaire.

RESULTS

An analysis of variance with repeated measures showed, in the experimental group compared with the control group, significantly greater improvement from baseline to post-intervention in health-related quality of life (EuroQol-5D Visual Analog Scale values of 70.06 ± 16.44 vs. 57.38 ± 16.40, p = 0.026) and coping behavior (adaptive coping 113.00 ± 31.89 vs. 83.24 ± 16.69, p = 0.002). Pain, self-perception of performance and physical activity levels also significantly improved.

CONCLUSIONS

A patient-centered intervention considering the workload of patients and their capacity for performing health behaviors provides benefits regarding quality of life and coping behavior. Additionally, pain, self-perceived performance of relevant tasks and physical activity levels improved.

Dietary Inflammatory Index Scores Are Associated with Pressure Pain Hypersensitivity in Women with Fibromyalgia

Objective

Pain hypersensitivity has been described as one of the most disabling symptoms of fibromyalgia syndrome (FMS). Here we analyzed the relationship between an anti-inflammatory diet profile and the pressure pain thresholds (PPTs) of tender point sites and other fibromyalgia-related symptoms in patients with FMS.

Methods

This cross-sectional study included 95 women diagnosed with FMS and 98 menopause-status matched controls. The Dietary Inflammatory Index (DII) was calculated by conducting a 24-hour diet recall interview. The PPTs of tender point sites and self-reported global pain levels were evaluated by algometry and the visual analog scale, respectively. Disease severity, fatigue, sleep anxiety, and central sensitization were also evaluated.

Results

Linear regression analysis revealed that the PPTs of tender point sites including the occiput (β = 0.234, 95% confidence interval [CI] = 0.016–0.452, P = 0.036), trapezius (β = 0.299, 95% CI = 0.083–0.515, P = 0.007), zygapophyseal joint (β = 0.291, 95% CI = 0.022–0.559, P = 0.035), second rib (β = 0.204, 95% CI = 0.060–0.348, P = 0.006), gluteus (β = 0.591, 95% CI = 0.110–1.072, P = 0.017), greater trochanter (β = 0.379, 95% CI = 0.016–0.742, P = 0.041), and knee (β = 0.482, 95% CI = 0.117–0.850, P = 0.011) were associated with DII score after adjustments for the age, menopausal status, and global energy levels reported by the patients with FMS. No significant differences were found for the cases or controls between the DII score and the remaining clinical symptoms. Analyses of covariance showed that the PPTs of the aforementioned tender point sites were also significantly associated (P < 0.05) with the DII score quartiles in patients with FMS, but no significant differences were found between these quartiles and the other clinical symptoms.

Conclusions

A pro-inflammatory diet was associated with pain hypersensitivity in patients with FMS.

Effects of aquatic physiotherapy or health education program in women with fibromyalgia: a randomized clinical trial

Background: Different treatments have been proposed for Fibromyalgia, but only few studies have compared their effects on multiples outcomes over time. Objective: The objective of this study was to investigate the effects of aquatic physiotherapy (AP) or a health education program (HEP) in a sample of women with Fibromyalgia (FM). Methods: Forty-six women with FM, aged between 25 and 60 years old, whose BMI was less than 30, were assigned to either AP (27 women) or HEP (19 women) groups in a blind randomized clinical trial lasting eleven weeks. Pain (McGill Pain questionnaire), fatigue (Piper Fatigue Scale-Revised), functional capability (Fibromyalgia Impact questionnaire), anxiety (Beck Anxiety Inventory), depression (Beck Depression Inventory) and quality of sleep (Pittsburgh Sleep Quality Index) data were collected at baseline, after six weeks and post intervention. Two-factor mixed-model analysis of variance (ANOVAs) were used to examine the effects of the treatment on each outcome variable. Results: The AP and HEP interventions showed statistically significant within-group differences on all outcome measures except reducing the pain. Between-group differences was statistically significant only for impact of FM on the participant's life [F_(1.82,80.41) = 31,99; p ≤ 0.01] indicating that patients receiving HEP experienced a greater decrease in FIQ than those treated with AP. Conclusion: The findings do not allow to affirm that one intervention is superior to the other for the treatment of people with FM. Future studies should investigate whether the combination of HEP and PA can be effective and long-lasting.

The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia

The link between fibromyalgia syndrome (FMS) and obesity has not been thoroughly investigated. The purpose of this study was to examine the relationships among body mass index (BMI) and body composition parameters, including fat mass, fat mass percentage, and visceral fat, as well as FMS features, such as tender point count (TPC), pain, disease activity, fatigue, sleep quality, and anxiety, in a population of FMS women and healthy controls. A total of seventy-three women with FMS and seventy-three healthy controls, matched on weight, were included in this cross-sectional study. We used a body composition analyzer to measure fat mass, fat mass percentage, and visceral fat. Tender point count (TPC) was measured by algometry pressure. The disease severity was measured with the Fibromyalgia Impact Questionnaire (FIQ-R) and self-reported global pain was evaluated with the visual analog scale (VAS). To measure the quality of sleep, fatigue, and anxiety we used the Pittsburgh Sleep Quality Questionnaire (PSQI), the Spanish version of the multidimensional fatigue inventory (MFI), and the Beck Anxiety Inventory (BAI), respectively. Of the women in this study, 38.4% and 31.5% were overweight and obese, respectively. Significant differences in FIQ-R.1 (16.82 ± 6.86 vs. 20.66 ± 4.71, p = 0.030), FIQ-R.3 (35.20 ± 89.02 vs. 40.33 ± 5.60, p = 0.033), and FIQ-R total score (63.87 ± 19.12 vs. 75.94 ± 12.25, p = 0.017) among normal-weight and overweight FMS were observed. Linear analysis regression revealed significant associations between FIQ-R.2 (β(95% CI)= 0.336, (0.027, 0.645), p = 0.034), FIQ-R.3 (β(95% CI)= 0.235, (0.017, 0.453), p = 0.035), and FIQ-R total score (β(95% CI)= 0.110, (0.010, 0.209), p = 0.032) and BMI in FMS women after adjusting for age and menopause status. Associations between sleep latency and fat mass percentage in FMS women (β(95% CI)= 1.910, (0.078, 3.742), p = 0.041) and sleep quality and visceral fat in healthy women (β(95% CI)= 2.614, (2.192, 3.036), p = 0.008) adjusted for covariates were also reported. The higher BMI values are associated with poor FIQ-R scores and overweight and obese women with FMS have higher symptom severity. The promotion of an optimal BMI might contribute to ameliorate some of the FMS symptoms.

Factors associated with anxiety in family caregivers of children with chronic diseases

BACKGROUND

Currently, information on factors associated with anxiety in family caregivers of children with chronic diseases is unavailable, indicating a significant gap in the literature. Therefore, this study aims to identify the psychosocial and sociodemographic variables associated with anxiety in family caregivers of children with chronic diseases.

METHODS

In 2018, a nonprobability sample of 446 family caregivers was recruited at the National Institute of Health in Mexico City. The participants completed a sociodemographic variable questionnaire, clinical questions, and 18 psychosocial assessment scales, including a scale to assess family caregiver anxiety.

RESULTS

Family caregiver anxiety was correlated with almost all psychosocial variables and one out of three clinical variables but with none of the sociodemographic variables. Furthermore, a multiple linear regression model with five psychosocial variables was established to predict family caregiver anxiety.

CONCLUSIONS

Some psychosocial variables have effects on caregiver anxiety that are relevant for interventions. Clinical interventions should be implemented based on the psychosocial variables associated with family caregiver anxiety.