The "bubbles"-study: Validation of ultra-short scales for the assessment of depression, anxiety and stress symptoms.

Depression, anxiety and stress symptoms cause substantial psychological and economic burdens around the globe. To mitigate the negative consequences, the negative symptoms should be identified at an early stage. Therefore, the implementation of very brief valid screening tools in mental health prevention programs and in therapeutic settings is advantageous. In two studies on representative German population samples, we developed and validated three ultra-short scales-the "bubbles"-that consist of only one item based on the Depression Anxiety Stress 21 subscales (DASS-21) for the assessment of depression, anxiety and stress symptoms. The results of Study 1 (N = 1,001) and Study 2 (N = 894) revealed that the bubbles are valid instruments that fit the DASS-21 subscales on the factor level. Moreover, the bubbles replicated the association pattern of the DASS-21 subscales with demographic variables, and with variables that belong to the negative and the positive dimension of mental health. Thus, due to their time- and cost-efficiency, the bubbles can be used as brief screening tools in research (e.g., large-scale studies, longitudinal studies, experience sampling paradigms) and in praxis. Their shortness can prevent fatigue, motivation decrease, and participants' drop-out.

Assessment of emotional distress in palliative care: Edmonton Symptom Assessment System-revised (ESAS-r) vs Distress Thermometer.

OBJECTIVES: To evaluate the sensitivity and specificity of the Distress Thermometer (DT) as a screening tool for emotional distress in oncological palliative care patients and to compare the DT with the Edmonton Symptom Assessment System-revised (ESAS-r) and the gold standard to determine the most appropriate assessment method in palliative psychological care. METHODS: Data were collected from psychological screening tests (ESAS-r and DT), and clinical interviews (gold standard) were conducted by a clinical psychologist specialist in palliative oncology from January 2021 to January 2022 in an oncology palliative care service. RESULTS: The sample consisted of 356 first-time patients with a diagnosis of advanced cancer in palliative care. The most frequently reported oncological diagnoses were gastrointestinal tract (49.3%) and breast (18.3%). Most patients were female (n = 206; 57.9%), 60.4% were married/with a partner, 55.4% had between 6 and 9 years of schooling, and a median age of 57 (range, 46-65) years. The cutoff of the DT was 5, with a sensitivity of 75.88% and specificity of 54.3%. Emotional problems (sadness and nervousness) had a greater area under the curve (AUC) when measured using the DT than the ESAS-r; however, only in the case of the comparative sadness and discouragement was the difference between the AUC marginally significant. SIGNIFICANCE OF RESULTS: The use of the DT as a screening tool in oncological palliative care is more effective in the evaluation of psychological needs than the ESAS-r. The DT, in addition to evaluation by an expert psychologist, allows for a more comprehensive identification of signs and symptoms to yield an accurate mental health diagnosis based on the International Classification of Diseases-11th Revision and/or Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition.

Fourteen-item perceived stress scale assessment using item response theory among pregnant women.

The current study aimed to assess the psychometric properties of the Spanish language version of the 14-item Perceived Stress Scale (PSS-S) in a population of pregnant women who speak Spanish in Peru using item response theory (IRT). Our study consisted of 5,435 pregnant women who participated in the Pregnancy Outcomes Maternal and Infant Study (PrOMIS) cohort in Peru. Exploratory and confirmatory factor analyses were conducted to determine dimensionality of the scale in this population, and item response theory was conducted to determine the applicability of the PSS. The PSS consisted of a 2-factor questionnaire measuring perceived stress and coping capacity accounting for 77% of variability. The IRT analysis showed differences in item difficulty and discrimination. Item difficulty represents the level of the latent construct where 50% of respondents endorse a particular response, and item discrimination determines the rate of change of the probability of endorsing an item for differing ability levels. For the first factor, perceived stress, item 12 was the least difficult and item 2 was the most difficult. For the second factor, coping capacity, item 9 was the least difficult and item 6 was the most difficult. The Spanish version of the 14-item PSS can be a useful assessment tool for perceived stress, but more IRT should be done to delve further into the psychometric properties of the questionnaire to inform clinicians and policy makers more appropriately.

Implementing process improvements to enhance distress screening and management.

INTRODUCTION: While distress is prevalent among individuals living with cancer, distress management has not been optimized across cancer care delivery despite standards for screening. This manuscript describes the development of an enhanced Distress Thermometer (eDT) and shares the process for deploying the (eDT) across a cancer institute by highlighting improvements at the provider, system, and clinic levels. METHODS: Focus groups and surveys were used at the provider-level to outline the problem space and to identify solutions to improve distress screening and management. Through stakeholder engagement, an eDT was developed and rolled out across the cancer institute. Technical EHR infrastructure changes were implemented at the system-level to improve the use of the distress screening findings and generate automated referrals for specialty services. Clinic workflows were adapted to improve screening and distress management using the eDT. RESULTS: Stakeholder focus group participants (n=17) and survey respondents (n=13) found the eDT to be feasible and acceptable for distress identification and management. System-level technical EHR changes resulted in high accuracy with patient identification for distress management, and 100% of patients with moderate to severe distress were connected directly to an appropriate specialty provider. Clinic-level workflow changes to expand eDT use improved compliance rates with distress screening from 85% to 96% over a 1-year period. CONCLUSIONS: An eDT that provides more context to patient-reported problems improved identification of referral pathways for patients experiencing moderate to high distress during cancer treatment. Combining process improvement interventions across multiple levels in the cancer care delivery system enhanced the success of this project. These processes and tools could support improved distress screening and management across cancer care delivery settings.

Analysis of the Mental and Physical Health Symptomatology Scale in a Sample of Emerging and Migrant Adults in Chile.

Health inequities exist in groups of greater psychosocial vulnerability such as emerging adults and migrants. The study aimed to generate evidence of the validity of the mental and physical health symptomatology scale in two samples of vulnerable groups: emerging university adults, who report high levels of mental health problems, and migrants, who report high levels of physical and mental health problems. Using non-probability sampling, in the first study, evidence of construct validity of the scale was reported in 652 emerging adults and, in the second, evidence of validity was provided from associations with the depression, stress and anxiety scale (DASS-21) among 283 migrants. The results indicate that in Study 1 the two-factor model had adequate indicators of fit and adequate reliability; only the mental health factor presented evidence of convergent validity. In Study 2, the mental health factor showed positive and large associations with the DASS-21, which decreased when the physical health symptoms factor was considered. These analyses provide evidence of validity for the scale, which is an easy-to-use instrument that allows for the assessment of health from an integral perspective.

Psychometric Properties and Measurement Invariance of the LIVES Daily Hassles Scale in Chinese Samples.

Daily hassles have a larger effect on our health and well-being than those major events in daily life. The present study aimed to evaluate the psychometric properties and measurement invariance of the LIVES Daily Hassles Scale (LIVES-DHS) in Chinese samples, which consisted of 815 people at work aged between 20 and 60 years old. The results of both Explanatory Factor Analysis and Confirmatory Factor Analysis showed that the five-factor model solution was better than other solutions, which supported the original structure of LIVES-DHS. The Cronbach's alpha coefficients of the five subdimensions varied between.721 and.818, with the entire scale of.920, and McDonald's ω values of the five subdimensions varied between.716 and.821, with the entire scale of.936. The results also showed the support for measurement invariance of the five-factor model across different groups, which is the first to offer evidence for configural, metric, scalar and strict invariance of LIVES-DHS across gender, age and educational groups.

Measuring stress: a review of the current cortisol and dehydroepiandrosterone (DHEA) measurement techniques and considerations for the future of mental health monitoring.

Psychological stress and its inevitable trajectory toward mental health deteriorations such as clinical and major depression has become an unprecedented global burden. The diagnostic procedures involved in the characterization of mental illnesses commonly follow qualitative and subjective measures of stress, often leading to greater socioeconomic burdens due to misdiagnosis and poor understanding of the severity of such illnesses, further fueled by the stigmatization surrounding mental health. In recent years, the application of cortisol and stress hormone measurements has given rise to an alternative, quantifiable approach for the psychological evaluation of stress and depression. This review comprehensively evaluates the current state-of-the-art technology for measuring cortisol and dehydroepiandrosterone (DHEA) and their applications within stress monitoring in humans. Recent advancements in these fields have shown the importance of measuring stress hormones for the characterization of stress manifestation within the human body, and its relevance in mental health decline. Preliminary results from studies considering multimodal approaches toward stress monitoring have showcased promising developments, emphasizing the need for further technological advancement in this field, which consider both neurochemical and physiological biomarkers of stress, for global benefit.

Psychometric evaluation of an adapted version of the perceived stress scale for ecological momentary assessment research.

Ecological momentary assessment (EMA) methodologies are commonly used to illuminate the predictors and impacts of experiencing subjective stress in the course of daily life. The validity of inferences from this research is contingent on the availability of measures of perceived momentary stress that can provide valid and reliable momentary stress scores. However, studies of the development and validation of such measures have been lacking. In this study, we use an EMA data collection design to examine the within- and between- person reliability and criterion validity and between-person gender measurement invariance of a brief EMA-adapted measure of a widely used trait measure of stress: the Perceived Stress Scale (PSS). Scores showed high internal consistency reliability and significant correlations with a range of criterion validity measures at both the within- and between-person level. Gender measurement invariance up to the scalar level also held for scores. Findings support the use of the EMA-adapted PSS presented in the current study for use in community-ascertained samples to address research questions relating to the influences on and effects of momentary stress and their gender differences.

Hair cortisol as a viable tool for the assessment of an association between environmental noise exposure and chronic stress.

Entrenched in the well-established link between stress and health, noise exposure as a potential contributor to stress-related health effects receives tremendous attention. Indeed, exposure to noise can act as a stressor as evidenced through increased heart rate, blood pressure, adrenaline, epinephrine, and cortisol. Cortisol is secreted from the adrenal glands in response to stressor-induced activation of the hypothalamic-pituitary-adrenal axis. For assessment of environmental noise and stress, repeated sampling in blood, saliva, or urine is necessary to evaluate the association between environmental noise exposure and protracted changes in cortisol. Controlling for the many variables that influence the secretion of cortisol at discrete sampling intervals is challenging. Studies suggest that systemically produced cortisol integrates and remains in hair as it grows, providing a measure that integrates a cortisol response over a longer period, circumventing several limitations associated with multiple sampling. Robust evidence supports the integration of cortisol into hair, yet recent studies call into question the notion that cortisol is retained with growth. The current paper discusses the strengths and limitations of hair cortisol analysis with an emphasis on its utility as a measure of chronic stress in environmental noise studies.

Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach.

OBJECTIVE: To develop a machine learning algorithm utilizing heart rate variability (HRV) and salivary cortisol to detect the presence of acute stress among pregnant women that may be applied to future clinical research. METHODS: ECG signals and salivary cortisol were analyzed from 29 pregnant women as part of a crossover study involving a standardized acute psychological stress exposure and a control non-stress condition. A filter-based features selection method was used to identify the importance of different features [heart rate (HR), time- and frequency-domain HRV parameters and salivary cortisol] for stress assessment and reduce the computational complexity. Five machine learning algorithms were implemented to assess the presence of stress with and without salivary cortisol values. RESULTS: On graphical visualization, an obvious difference in heart rate (HR), HRV parameters and cortisol were evident among 17 participants between the two visits, which helped the stress assessment model to distinguish between stress and non-stress exposures with greater accuracy. Eight participants did not display a clear difference in HR and HRV parameters but displayed a large increase in cortisol following stress compared to the non-stress conditions. The remaining four participants did not demonstrate an obvious difference in any feature. Six out of nine features emerged from the feature selection method: cortisol, three time-domain HRV parameters, and two frequency-domain parameters. Cortisol was the strongest contributing feature, increasing the assessment accuracy by 10.3% on average across all five classifiers. The highest assessment accuracy achieved was 92.3%, and the highest average assessment accuracy was 76.5%. CONCLUSION: Salivary cortisol contributed a significant increase in accuracy of the assessment model compared to using a range of HRV parameters alone. Our machine learning model demonstrates acceptable accuracy in detection of acute stress among pregnant women when combining salivary cortisol with HR and HRV parameters.

Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method.

Mental stress is on the rise as one of the major health problems in modern society. It is important to detect and manage mental stress to prevent various diseases caused by stress and to maintain a healthy life. The purpose of this paper is to present new heart rate variability (HRV) features based on empirical mode decomposition and to detect acute mental stress through short-term HRV (5 min) and ultra-short-term HRV (under 5 min) analysis. HRV signals were acquired from 74 young police officers using acute stressors, including the Trier Social Stress Test and horror movie viewing, and a total of 26 features, including the proposed IMF energy features and general HRV features, were extracted. A support vector machine (SVM) classification model is used to classify the stress and non-stress states through leave-one-subject-out cross-validation. The classification accuracies of short-term HRV and ultra-short-term HRV analysis are 86.5% and 90.5%, respectively. In the results of ultra-short-term HRV analysis using various time lengths, we suggest the optimal duration to detect mental stress, which can be applied to wearable devices or healthcare systems.

Preoperative detection and evaluation of the need for psychological intervention in cancer and non-cancer patients referred to thoracic surgery.

OBJECTIVES: (a) to evaluate and compare the psychological treatment needs of patients with cancer and non-cancer, who are going to undergo scheduled thoracic surgery, and (b) evaluate and compare the diagnostic accuracy of the screening tests of psychological treatment needs for cancer and non-cancer patients. METHOD: The need for psychological treatment was evaluated in a total of 169 patients prior to thoracic surgery, through a clinical interview. The screening tests used were: the physician's judgment (yes/no), the Hospital Anxiety and Depression Scale (HADS) and, the single-item interview to assess depression "Do you feel depressed?" (DEPQ). RESULTS: The number of patients who needed psychological treatment in the total sample was 47 (27.81%), in non-cancer-patients: 22 (30.99%) and in cancer patients: 25 (25.51%). The participants with treatment needs were more often young women with primary education levels, with more fears and concerns regarding their disease. With respect to the screening tests, the HADS-T (cut-off point ≥13) obtained a sensitivity (SE) of 0.75 and Specificity (SP) of 0.81 in the total sample. In patients with cancer, the HADS total score (cut-off point ≥10) obtained an SE=0.84 and SP=0.80, and, in non-cancer patients, the HADS total score (cut-off point ≥13) showed an SE=0.59 and SP=0.84. The DEPQ and the physician's judgment did not achieve adequate levels of precision. CONCLUSIONS: A high percentage of patients have psychological treatment needs before performing thoracic surgery, which are similar for cancer and non-cancer patients. Preoperative detection of patients who need psychological intervention is feasible with a simple screening test: HADS, which achieves greater precision in cancer patients.

Psychological Problems among Head and Neck Cancer Patients in Relation to Utilization of Healthcare and Informal Care and Costs in the First Two Years after Diagnosis.

BACKGROUND: To investigate associations between psychological problems and the use of healthcare and informal care and total costs among head and neck cancer (HNC) patients. METHOD: Data were used of the NETherlands QUality of Life and Biomedical Cohort study. Anxiety and depression disorder (diagnostic interview), distress, symptoms of anxiety and depression (HADS), and fear of cancer recurrence (FCR) and cancer worry scale (CWS) were measured at baseline and at 12-month follow-up. Care use and costs (questionnaire) were measured at baseline, 3-, 6-, 12-, and 24-month follow-up. Associations between psychological problems and care use/costs were investigated using logistic and multiple regression analyses. RESULTS: Data of 558 patients were used. Distress, symptoms of anxiety or depression, FCR, and/or anxiety disorder at baseline were significantly associated with higher use of primary care, supportive care, and/or informal care (odds ratios (ORs) between 1.55 and 4.76). Symptoms of anxiety, FCR, and/or depression disorder at 12-month follow-up were significantly associated with use of primary care, supportive care, and/or informal care (ORs between 1.74 and 6.42). Distress, symptoms of anxiety, and FCR at baseline were associated with higher total costs. DISCUSSION: HNC patients with psychological problems make more use of healthcare and informal care and have higher costs. This is not the result of worse clinical outcomes.

Assessment of salivary alpha-amylase and cortisol as a pain related stress biomarker in dogs pre-and post-operation.

BACKGROUND: The use of salivary biomarkers has garnered attention because the composition of saliva reflects the body's physiological state. Saliva contains a wide range of components, including peptides, nucleic acids, electrolytes, enzymes, and hormones. It has been reported that salivary alpha-amylase and cortisol are biomarkers of stress related biomarker in diseased dogs; however, evaluation of salivary alpha-amylase and cortisol pre- and post- operation has not been studied yet. The aim of this study was to evaluate salivary alpha-amylase and cortisol levels in dogs before and after they underwent surgery and investigate the association between the salivary alpha-amylase and cortisol activity and pain intensity. For this purpose, a total of 35 dogs with disease-related pain undergoing orthopedic and soft tissue surgeries were recruited. Alpha-amylase and cortisol levels in the dogs' saliva and serum were measured for each using a commercially available canine-specific enzyme-linked immunosorbent assay kit, and physical examinations (measurement of heart rate and blood pressure) were performed. In addition, the dogs' pre- and post-operative pain scores determined using the short form of the Glasgow Composite Measure Pain Scale (CMPS-SF) were evaluated. RESULTS: After surgery, there was a significant decrease in the dogs' pain scores (0.4-fold for the CMPS-SF, p < 0.001) and serum cortisol levels (0.73-fold, p < 0.01). Based on their pre-operative CMPS-SF scores, the dogs were included in either a high-pain-score group or a low-pain-score group. After the dogs in the high-pain-score group underwent surgical intervention, there was a significant decrease in their CMPS-SF scores and levels of salivary alpha-amylase, serum alpha-amylase, and serum cortisol. Additionally, there was a positive correlation between salivary alpha-amylase levels and CMPS-SF scores in both the high- and low-pain-score groups. CONCLUSIONS: The measurement of salivary alpha amylase can be considered an important non-invasive tool for the evaluation of pain-related stress in dogs.

Prevalence of Psychological Symptoms in Patients Undergoing Pancreatoduodenectomy and Results of a Distress Management System: A Clinic-Based Study.

PURPOSE: Patients undergoing pancreatoduodenectomy are a high-risk group that requires psychosocial support. This study retrospectively reviewed the prevalence of psychological symptoms in patients undergoing pancreatoduodenectomy for periampullary neoplasm and the psychosocial referral rate after implementing full screening and triage algorithm for administering a distress management protocol based on the integrated supportive care system established in 2010. MATERIALS AND METHODS: From September 2010 to December 2018, insomnia, anxiety, and depression were screened on the first day of admission (T1) and on the 10th postoperative day (T2). Patients with clinical levels of distress were referred to a mental health clinic for appropriate aftercare. RESULTS: The adherence rate to routine screening was 82.7% (364/440). Among the 364 patients, the prevalence of insomnia, anxiety, and depression increased from 22.0% (T1) to 32.6% (T2, p=0.001), 29.1% to 33.6% (p=0.256), and 18.4% to 27.6% (p=0.001), respectively. Less than 45% of those with psychological symptoms expressed their needs for psychological supportive care. Among those with psychological symptoms at T2, clinical insomnia, anxiety, and depression were detected via in-depth evaluations among 77.2%, 38.1%, and 82.5% of patients, respectively. Patients who had two or more symptoms at T2 had a longer postoperative hospital stay, as compared to those with one or no symptoms (a median of 20.5 days vs. 18.0 days, p=0.006). Psychiatric consultation rate was 72.8% among patients with clinical psychological symptoms, and 74% of the consulted patients completed psychiatric intervention before discharge. CONCLUSION: Over one-third of the patients had psychological symptoms before and after pancreatoduodenectomy. Implementing a routine psychological symptoms screening with a systematic psychiatric referral protocol enhanced surgeons' responsiveness to patients' psychological symptoms.

The Post-Secondary Student Stressors Index: Proof of concept and implications for use.

Objective This study demonstrates the utility of the Post-Secondary Student Stressors Index (PSSI), an instrument designed to identify and evaluate the sources of student stress. The PSSI is comprised of 46 stressors, rated by severity and frequency, across five domains: academics, learning environment, campus culture, interpersonal, and personal. Participants: Pilot testing of the tool was conducted among n = 535 post-secondary students enrolled at an Ontario university. Methods: Mean severity and frequency ratings were calculated for each stressor on the instrument. Results were plotted, and stratified by sex. T-tests for differences in means across sexes were calculated for each stressor. Results: Female students in this sample consistently rated nearly all stressors on the instrument as more severe than their male counterparts. Females also reported higher frequency ratings on average, indicating that they worried about stressors more often than did males. Domain-specific stressors are discussed. Conclusions: The PSSI can provide post-secondary institutions with the ability to improve the targeting of their mental health promotion and mental illness prevention efforts.

Psychometric analysis and validity of the Daily Sexual Minority Stressors Scale among young adult same-sex female couples.

Sexual minority women experience greater health disparities relative to heterosexual women, which is thought to be due to unique stressors related to their sexual identities. Daily diary or momentary assessments may provide a more nuanced approach to understanding how sexual minority stressors relate to health behaviors than cross-sectional studies provide. To date, there is no validated measure to examine daily sexual minority stressors. A recent pilot study developed a brief (8-item) measure for assessing sexual minority stressors in self-identified lesbian or mostly lesbian women (Heron et al., 2018). Although an optimal number of items were generated to best capture the daily experiences of lesbian women, psychometric examination and validation of this new measure is necessary. Using multilevel confirmatory factor analysis among a fully scaled sample of sexual minority women, the present study established that the Daily Sexual Minority Stressors Scale has good model fit as a unidimensional measure (i.e., one factor at each level of analysis). Intraclass correlations indicate the majority of variation (57%) is within person. Additionally, we established convergent and discriminant validity using similar measures (single-item assessment, general stressors, negative affect, history of discrimination, and heterosexism). Finally, criterion validity was supported. At the daily level, experiencing daily sexual minority stressors was associated with a significantly greater likelihood of drinking alcohol that day. Experiencing more daily sexual minority stressors during the study period was significantly associated with a history of harassment and discrimination, victimization, isolation, vigilance, and also with acceptance concerns, difficult processes, and internalized homonegativity. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features.

Exposure to mental stress for long period leads to serious accidents and health problems. To avoid negative consequences on health and safety, it is very important to detect mental stress at its early stages, i.e., when it is still limited to acute or episodic stress. In this study, we developed an experimental protocol to induce two different levels of stress by utilizing a mental arithmetic task with time pressure and negative feedback as the stressors. We assessed the levels of stress on 22 healthy subjects using frontal electroencephalogram (EEG) signals, salivary alpha-amylase level (AAL), and multiple machine learning (ML) classifiers. The EEG signals were analyzed using a fusion of functional connectivity networks estimated by the Phase Locking Value (PLV) and temporal and spectral domain features. A total of 210 different features were extracted from all domains. Only the optimum multi-domain features were used for classification. We then quantified stress levels using statistical analysis and seven ML classifiers. Our result showed that the AAL level was significantly increased (p < 0.01) under stress condition in all subjects. Likewise, the functional connectivity network demonstrated a significant decrease under stress, p < 0.05. Moreover, we achieved the highest stress classification accuracy of 93.2% using the Support Vector Machine (SVM) classifier. Other classifiers produced relatively similar results.

A Review on Mental Stress Assessment Methods Using EEG Signals.

Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of mental stress in its early stages. Several neuroimaging tools have been proposed in the literature to assess mental stress in the workplace. Electroencephalogram (EEG) signal is one important candidate because it contains rich information about mental states and condition. In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress. The review highlights the critical differences between the research findings and argues that variations of the data analysis methods contribute to several contradictory results. The variations in results could be due to various factors including lack of standardized protocol, the brain region of interest, stressor type, experiment duration, proper EEG processing, feature extraction mechanism, and type of classifier. Therefore, the significant part related to mental stress recognition is choosing the most appropriate features. In particular, a complex and diverse range of EEG features, including time-varying, functional, and dynamic brain connections, requires integration of various methods to understand their associations with mental stress. Accordingly, the review suggests fusing the cortical activations with the connectivity network measures and deep learning approaches to improve the accuracy of mental stress level assessment.

A Benchmarking Study Evaluating Axial Spondyloarthritis Burden in Spain and Other European Countries. Results from the Spanish Atlas and the European Map of Axial Spondyloarthritis (EMAS) Studies.

AIM: To compare the burden of disease in Spanish patients with axial spondyloarthritis (axSpA) vs other European countries (OEC). METHODS: Data from 2846 unselected patients from the European Map of Axial Spondyloarthritis (EMAS) and the Atlas of Axial Spondyloarthritis in Spain (Atlas) were collected through online surveys. Comparative analysis was carried out between Spanish patients (2016) and patients from 12 OEC ( 2017-2018). Socio-demographic characteristics, life habits, and patient-reported outcomes (Bath Ankylosing Spondylitis Disease Activity Index 0-10, spinal stiffness 3-12, functional limitation 0-54, the 12-Item General Health Questionnaire [GHQ-12] for psychological distress 0-12) were compared. Chi-square and Mann-Whitney tests were used for qualitative and quantitative variables respectively. RESULTS: 680 (23.9%) Spanish axSpA patients were compared to 2166 axSpA patients (76.1%) from OEC. Compared to Spain, the OEC group had a higher percentage of females (64.1% vs 52.5%; P < .001) and university-educated participants (51.7% vs 36.9%; P < .001). Spanish patients showed a greater diagnostic delay (8.5 ± 7.7 vs 7.2 ± 8.6 years; P < .001), visits to orthopedic specialists before diagnosis (56.9% vs 25.3%; P < .001), human leukocyte antigen-B27 carriership (77.1% vs 70.1%; P = .003), disease activity (5.7 ± 2.0 vs 5.4 ± 2.0; P = .024), and higher unemployment rates (21.7% vs 9.2%; P < .001). Despite lower rates of diagnosed anxiety and depression, Spanish patients were at higher risk of psychological distress according to the GHQ-12 (5.7 ± 4.5 vs 4.8 ± 4.0; P < .001). CONCLUSION: Compared to European axSpA patients, Spanish patients experience a longer diagnostic delay and greater psychological distress. Being wrongly referred to orthopedic specialists and facing a more precarious labor scenario appear as possible causal factors, highlighting the need to increase the number of rheumatologists, the training of healthcare professionals, and improving axSpA patients' working conditions.