Fatigue Assessment Research Articles

Rapid fatigue evaluation of additive manufactured specimens: Application to stainless steel AISI 316L obtained by laser metal powder bed fusion

Laser powder bed fusion additive manufacturing is a promising technology for manufacturing components in many industrial applications. These components are often subjected to cycling loading and there are concerns about their fatigue performance due to inherent anisotropy, defects, and surface roughness. However, conventional fatigue assessment is time-consuming and expensive. Consequently, several attempts have been made in the last decades to reduce the time and cost associated with these tests by introducing the concept of rapid fatigue testing. Most of these accelerated methods necessitate advanced laboratory equipment and high-precision tests. Recently, a novel approach to rapid fatigue assessment, the stiffness method, has emerged, based on evaluating damage accumulation during the test. This method has been successfully applied and validated across a wide range of wrought metal sheets. In this study, the stiffness method is deployed to evaluate the fatigue performance of additively manufactured stainless steel AISI316L. The results are compared with predictions of the empirical model based on Murakami's approach and the conventional staircase method. A good agreement is obtained between both approaches, showing the stiffness method can estimate the fatigue limit of additive manufacturing specimens in a reliable, fast, and cost-effective way while using a significantly reduced number of tests.

Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory

Geometrical discontinuities are inevitable in engineering structures due to various functional requirements, which often yield complex stress–strain state and thereby significantly impact their fatigue performances. In this study, crystal plasticity theory is coupled with traditional critical distance theory for notch effect modelling considering microstructural heterogeneity. Specifically, microstructural and geometrical size effects on critical distance and fatigue performance are studied based on Sub-modelling approach. In addition, critical distance theory is coupled with Weibull distribution for probabilistic fatigue life evaluation of notched components. The developed method is verified and compared by using experimental data of GH4169 alloy. The findings demonstrate that the evaluated P-S-N curves exhibit strong agreement with tested data and geometrical size effect poses larger influence than the grain size effect on critical distance and fatigue life.

Integrating Wearable Textiles Sensors and IoT for Continuous sEMG Monitoring.

Surface electromyography is a technique used to measure the electrical activity of muscles. sEMG can be used to assess muscle function in various settings, including clinical, academic/industrial research, and sports medicine. The aim of this study is to develop a wearable textile sensor for continuous sEMG monitoring. Here, we have developed an integrated biomedical monitoring system that records sEMG signals through a textile electrode embroidered within a smart sleeve bandage for telemetric assessment of muscle activities and fatigue. We have taken an "Internet of Things"-based approach to acquire the sEMG, using a Myoware sensor and transmit the signal wirelessly through a WiFi-enabled microcontroller unit (NodeMCU; ESP8266). Using a wireless router as an access point, the data transmitted from ESP8266 was received and routed to the webserver-cum-database (Xampp local server) installed on a mobile phone or PC for processing and visualization. The textile electrode integrated with IoT enabled us to measure sEMG, whose quality is similar to that of conventional methods. To verify the performance of our developed prototype, we compared the sEMG signal recorded from the biceps, triceps, and tibialis muscles, using both the smart textile electrode and the gelled electrode. The root mean square and average rectified values of the sEMG measured using our prototype for the three muscle types were within the range of 1.001 ± 0.091 mV to 1.025 ± 0.060 mV and 0.291 ± 0.00 mV to 0.65 ± 0.09 mV, respectively. Further, we also performed the principal component analysis for a total of 18 features (15 time domain and 3 frequency domain) for the same muscle position signals. On the basis on the hierarchical clustering analysis of the PCA's score, as well as the one-way MANOVA of the 18 features, we conclude that the differences observed in the data for the different muscle types as well as the electrode types are statistically insignificant.

Fatigue and mental health among patients with heart failure in an outpatient setting

Background: Heart failure is a health problem that occurs in the cardiovascular system which globally is the highest cause of death in the world. Heart Failure is a complex clinical syndrome in which the heart cannot pump blood to meet the body's blood circulation needs for tissue metabolism in certain conditions, due to structural or functional damage to the heart chambers. It is usually characterized by excessive blood volume, inadequate tissue perfusion, poor activity tolerance, and usually easily feels tired, orthopnea and edema. The emergence of various clinical symptoms in heart failure patients will cause nursing problems and interfere with basic human needs, one of which is fatigue. Heart failure sufferers have problems with the heart system which results in a lack of blood and oxygen supply to the brain and muscles, so sufferers often experience fatigue to the point of fainting. Purpose: To determine the relationship between the level of fatigue and the mental health of heart failure patients. Method: This type of quantitative research with a design using a cross sectional approach. Carried out at the heart clinic dr. Moewardi Surakarta, Central Java of the regional general hospital from October to December 2023. The population of heart failure sufferers in this study was 186 people, however by using a purposive sampling technique in sampling, a sample of 148 patients was obtained. The inclusion criteria in this study were patients aged >18 years, New York Heart Association (NYHA) class II and class III heart failure patients, while the exclusion criteria were heart failure patients who were unwilling or unable to take part in this study. The instruments used were the fatigue assessment scale (FAS) and depression anxiety and stress scale 21 (DASS-21) questionnaires. Data analysis used univariate and bivariate with the chi square test. Results: The majority of respondents experienced mild fatigue with anxious conditions, 53 people (53.0%). Meanwhile, 47 patients (47.0%) who complained of severe fatigue showed anxiety, 24 people (85.7%), and 12 people (60.0%) felt stressed. The results of the analysis obtained a significant value with a p-value of 0.001 (<0.05) which indicates that H0 was rejected. So there is a relationship between the level of fatigue and mental health conditions in heart failure sufferers. Conclusion: There is a relationship between the level of fatigue and mental health in heart failure patients. The nursing implication that can be implemented is providing education about fatigue so that patients understand the impact it has on heart failure sufferers so that it does not cause mental health problems.

Extreme load extrapolation and long-term fatigue assessment of offshore wind turbine tower based on monitoring data

Extreme load and fatigue damage are important parameters in the structural design of offshore wind turbines (OWTs). The purpose of this study is to obtain extreme loads and long-term fatigue damage assessment of OWT structures based on measured data. In the present study, a utility-scale OWT was monitored with a dynamic response monitoring system and long-term strains of the OWT tower were collected. Based on the monitoring strain and the operational conditions of the OWT, the load and fatigue characteristics of the OWT tower were discussed. Furthermore, statistical extrapolation of the extreme load of the OWT tower was performed and the applicability of different statistical extrapolation methods was studied. The results indicate that the same probability distribution model does not apply to all wind speeds. The maximum extreme load is extrapolated in the vicinity of the rated wind speed. Finally, the relationship between short-term fatigue damage and long-term fatigue damage of the OWT structure was discussed. Superimposing fatigue from a short calculation period underestimates the long-term fatigue of OWT structures due to significant calculation period impact. Therefore, an evaluation method for OWT structures' long-term fatigue was established to improve the accuracy of long-term fatigue calculation by superimposing short calculation periods.

The Dynamics of Locomotor Neuromuscular Fatigue during Ramp-Incremental Cycling to Intolerance.

Traditional neuromuscular fatigue assessments are not task-specific and are unable to characterize neuromuscular performance decline during dynamic whole-body exercise. This study used interleaved maximal isokinetic cycling efforts to characterize the dynamics of the decline in neuromuscular performance during ramp-incremental (RI) cycle ergometry exercise to intolerance. Eleven young healthy participants (10 male/1 female) performed two RI cycle ergometry exercise tests to intolerance: [1] RI-exercise with peak isokinetic power (Piso) at 80 rev·min-1 measured at baseline and immediately at intolerance from a maximal ~6 s effort; [2] RI-exercise where additional Piso measurements were interleaved every 90 s to characterize the decline in neuromuscular performance during the RI-test. Muscle excitation was measured using EMG during all Piso assessments, and pulmonary gas exchange was measured throughout. Baseline Piso was 832 ± 140 W and RI-exercise reduced Piso to 349 ± 96 W at intolerance (p = 0.001), which was not different from flywheel power at intolerance (303 ± 96 W; p = 0.292). There was no reduction in Piso between baseline cycling and gas exchange threshold (GET; baseline Piso vs. mean Piso below GET: 828 ± 146 vs. 815 ± 149 W; p = 1.00). Piso fell progressively above GET until intolerance (Piso every 90 s above GET: 759 ± 139; 684 ± 141; 535 ± 144; 374 ± 117 W; each p < 0.05 vs. baseline and mean Piso below GET). Peak muscle excitation (EMG) was also reduced only above GET (73 ± 14 % of baseline, at intolerance; p < 0.05). However, the reduction in peak Piso preceded the reduction in peak muscle excitation. The dynamics of the decline in neuromuscular performance (reduction in Piso and EMG) during RI-exercise are consistent with known intensity-dependent metabolic and traditional pre-post neuromuscular fatigue responses to discrete bouts of constant-power exercise.

Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey

Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, from road safety to workplace productivity. Accurately detecting and mitigating cognitive fatigue is crucial for ensuring optimal performance and minimizing potential risks. This paper presents a comprehensive survey of the current landscape in cognitive fatigue detection. We systematically review various approaches, encompassing physiological, behavioral, and performance-based measures, for robust and objective fatigue detection. The paper further analyzes different challenges, including the lack of standardized ground truth and the need for context-aware fatigue assessment. This survey aims to serve as a valuable resource for researchers and practitioners seeking to understand and address the multifaceted challenge of cognitive fatigue detection.

Resting-state EEG rhythms are abnormal in post COVID-19 patients with brain fog without cognitive and affective disorders

ObjectivesSeveral persons experiencing post-covid-19 (post-COVID) with “brain fog” (e.g., fatigue, cognitive and psychiatric disorders, etc.) show abnormal resting-state electroencephalographic (rsEEG) rhythms reflecting a vigilance dysfunction. Here, we tested the hypothesis that in those post-COVID persons, abnormal rsEEG rhythms may occur even when cognitive and psychiatric disorders are absent. MethodsThe experiments were performed on post-COVID participants about one year after hospitalization for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Inclusion criteria included a “brain fog” claim, no pre-infection, and actual organic chronic disease. Matched controls (no COVID) were also enrolled. All participants underwent clinical/neuropsychological assessment (including fatigue assessment) and rsEEG recordings. The eLORETA freeware estimated regional rsEEG cortical sources at individual delta (<4 Hz), theta (4–7 Hz), and alpha (8–13 Hz) bands. Beta (14–30 Hz) and gamma (30–40 Hz) bands were pre-fixed. ResultsMore than 90% of all post-COVID participants showed no cognitive or psychiatric disorders, and 75% showed ≥ 2 fatigue symptoms. The post-COVID group globally presented lower posterior rsEEG alpha source activities than the Control group. This effect was more significant in the long COVID-19 patients with ≥ 2 fatigue symptoms. ConclusionsIn post-COVID patients with no chronic diseases and cognitive/psychiatric disorders, “brain fog” can be associated with abnormal posterior rsEEG alpha rhythms and subjective fatigue. SignificanceThese abnormalities may be related to vigilance and allostatic dysfunctions.

Corrosion fatigue behaviour of Q690D high-strength steel considering the effect of coupling

During the service period of steel structures, the condition of suffering from environmental corrosions and fatigue loadings simultaneously widely exists. In this article, focusing on the corrosion fatigue behaviour of Q690D high-strength steel with consideration of the coupling effect, experimental research was conducted and the coupling effect was analysed. Corrosion fatigue coupling tests were performed with the method of electrolytic accelerated corrosion. The corrosion characteristics were studied and compared with the corrosion tests without loadings. Then, the corrosion fatigue S-N curve was established and compared with non-corroded and pre-corroded conditions. Morphology observations were carried out to further analyse the mechanisms of corrosion fatigue coupling. The results show that the fatigue resistance of Q690D high-strength steel deteriorated greatly compared with non-corroded and pre-corroded conditions, and the adverse effect of corrosion fatigue coupling on fatigue resistance cannot be neglected. The coupling effect under real engineering service conditions could be well represented with the adopted test method, taking into account the time dimension correlation between fatigue and corrosion. The established Q690D S-N curve under the corrosive environment provides important references for the residual fatigue life assessment of high-strength steel fatigue considering the effect of environmental deterioration.

Validation of the Turkish version of the Neurological Fatigue Index for Stroke

ABSTRACT Introduction Post-stroke fatigue is an often overlooked problem that hinders recovery. Therefore, stroke patients should be evaluated for fatigue during the recovery period. This study aimed to adapt the Neurological Fatigue Index for Stroke (NFI-Stroke) into the Turkish language. Methods This methodological study was carried out on 110 stroke patients admitted to a university hospital in Istanbul. In addition to the NFI-Stroke, Functional Independence Measure, National Institutes of Health Stroke Scale, modified-Rankin Scale, Fatigue Severity-Scale, and Stroke Self Efficacy Questionnaire were used to collect data. Results Since the linguistic validity study of the scale has already been carried out, only psychometric properties were evaluated. The items in the scale were grouped under two factors. The Cronbach`s alpha coefficient was found to be 0.96 for the physical sub-dimension and 0.84 for the cognitive sub-dimension. Item-total correlation coefficients were found between 0.74-0.91 for the physical sub-dimension, and 0.82-0.91 for the cognitive sub-dimension. The test-retest evaluation confirmed the consistency of the responses to the scale against time. The scale was correlated with other scales used in the study as expected. Conclusions The NFI-Stroke will be useful in clinical practice in assessment of fatigue, which may affect the adaptation of patients to rehabilitation.

Comparative study on fatigue evaluation of suspenders by introducing actual vehicle trajectory data

Suspenders play a crucial role in transmitting loads from the bridge deck to the main cable in a suspension bridge. They are susceptible to fatigue due to repeated dynamic loads, particularly traffic loads. Traffic Load Models (TLMs), typically created using Monte–Carlo simulation and Weigh-In-Motion (WIM) data, are employed to evaluate this fatigue. However, these models often overlook practical vehicle trajectories and spatio-temporal distribution, which compromises the precision of fatigue assessments. In this study, we introduce a novel 2D Intelligent Driver Model (2D-IDM) that incorporates actual vehicle trajectories, with a particular focus on transverse vehicle movement. This enhancement aims to improve the fidelity of existing TLMs. To provide a clear, qualitative, and quantitative understanding of the effects of fatigue evaluation with or without actual trajectory characteristics, we have structured this paper as a comparative study. We compare our proposed model, denoted as TLM S-3, with two observation-based models (O-1 and O-2) and two simulation-based models (S-1 and S-2). We conducted an experimental case study on a long-span suspension bridge, where the actual traffic load trajectory was obtained using a WIM-Vision integrated system. To calculate fatigue damage considering both longitudinal and transverse directions, we established a multi-scale Finite Element Model (FEM) using solid element types to simulate the bridge girder. This model can generate the stress influence surface of the bridge and has been verified in both static and dynamic aspects. Our detailed comparative analysis demonstrates the consistency of the proposed 2D-IDM with the actual measured traffic load trajectories. This indicates that our approach can enhance the fidelity and precision of fatigue evaluations for bridge suspenders.

Systemic Lupus Erythematosus Disease Activity Score Remission and Low Disease Activity States Discriminate Drug From Placebo and Better Health-Related Quality of Life.

Our objective was to evaluate the ability of Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) remission and low disease activity (LDA) to discriminate active drug from placebo and to discriminate outcomes in the patients' perspective (health-related quality of life [HR-QoL]) in SLE trials. This was a post hoc analysis of the pooled Belimumab in Subjects With SLE (BLISS)-52 (NCT00424476) and BLISS-76 (NCT00410384) trials data. SLE-DAS remission and LDA attainment and discrimination between belimumab and placebo at 52 weeks were compared using chi-square tests. At week 52, 36-item Short Form Health Survey (SF-36) and Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F) scores were compared between patients attaining SLE-DAS remission versus nonremission and SLE-DAS LDA versus non-LDA using the t-test and Mann-Whitney test. Mean changes from week 0 to 52 in SF-36 and FACIT-F scores were compared between groups using multivariate regression analysis adjusted for baseline scores. At week 52, significantly more patients attained SLE-DAS LDA taking belimumab 1 mg/kg (17.9% vs 13.0%; P = 0.023; odds ratio [OR] 1.459; relative risk [RR] 1.377; number needed to treat [NNT] 20.4) and 10 mg/kg (21.7% vs 13.0%; P < 0.001; OR 1.853; RR 1.668; NNT 11.5) compared with placebo. Likewise, more patients attained SLE-DAS remission taking belimumab 10 mg/kg compared to placebo (14.7% vs 10.1%; P = 0.019; OR 1.532; RR 1.454; NNT 21.7). At week 52, patients attaining SLE-DAS remission and LDA presented higher SF-36 domain and summary scores (all P < 0.001) and FACIT-F scores (both P < 0.001). Mean improvements from baseline in SF-36 and FACIT-F scores were significantly higher in patients achieving SLE-DAS remission and LDA. SLE-DAS remission and LDA showed discriminant ability for identifying patients receiving active drug in SLE clinical trials. Attainment of these SLE-DAS targets are associated with better HR-QoL.

Development of the American College of Rheumatology Patient-Reported Outcome Quality Measures for Systemic Lupus Erythematosus.

As part of a Centers for Disease Control and Prevention-funded American College of Rheumatology (ACR) initiative, we sought to develop quality measures related to Patient Reported Outcome Measure (PROM) use for systemic lupus erythematosus (SLE) clinical care. An expert workgroup composed of physician, patient, and researcher representatives convened to identify patient-reported outcome (PRO) domains of greatest importance to people with SLE. A patient advisory panel separately ranked domains. PROMs assessing priority domains were identified through structured literature review, and detailed psychometric reviews were conducted for each PROM. In a Delphi process, the expert workgroup rated PROMs on content validity, psychometric quality, feasibility of implementation, and importance for guiding patient self-management. The patient advisory panel reviewed PROMs in parallel and contributed to the final recommendations. Among relevant PRO domains, the workgroup and patient partners ranked depression, physical function, pain, cognition, and fatigue as high-priority domains. The workgroup recommended at least once yearly measurement for (1) assessment of depression using the Patient Health Questionnaire or Patient Reported Outcomes Measurement Information System (PROMIS) depression scales; (2) assessment of physical function using PROMIS physical function scales or the Multi-Dimensional Health Assessment Questionnaire; and (3) optional assessments of fatigue and cognition. Pain scales evaluated were not found to be sufficiently superior to what is already assessed in most SLE clinic visits. Expert workgroup members and patient partners recommend that clinicians assess depression and physical function at least once yearly in all people with SLE. Additional PROMs addressing cognition and fatigue can also be assessed. Next steps are to incorporate PROM-based quality measures into the ACR The Rheumatology Informatics System for Effectiveness registry.

Assessment of functional outcomes, level of fatigue, and risk of sarcopenia in COVID-19 patients at discharge: A cross sectional study

Background: There is emerging evidence with regards to reduced physical performance in patients recovering from COVID- 19 at time of hospital discharge. Assessing various functional parameters at discharge would shed light on the multi-system affection that could be helpful in formulating rehabilitation goals for the patient. Objectives of the study were to assess the physical performance, functional capacity, muscular strength, level of fatigue, and risk of sarcopenia in COVID-19 patients at discharge using short physical performance battery test, 1 minute sit to stand test, grip strength, fatigue assessment scale, SARC-CalF Scale respectively. Methods: This cross-sectional study comprised of 42 patients diagnosed with COVID-19 recruited from a tertiary care hospital. Demographic details and clinical variables were documented. Participants were assessed for physical performance, muscular strength, level of fatigue, functional capacity, and risk of sarcopenia. Data was analyzed using SPSS version 24. Results: The study comprised of 42 participants including 71.43% males (N=30) and 28.57% females (N=12) having mean age of 49.86±15.83 years. Findings of the assessed parameters were as follows: SPPB=7.57±2.84, 1 MSST=13.17±5.79 repetitions, grip strength=19.44±8.38 kg, FAS=19.79±10.83, SARC-CalF score=5.19±4.83. There was a weak positive correlation found between CT severity score and level of fatigue (r=0.325, p=0.036). Conclusions: This study provides a descriptive information about the functional outcomes of COVID -19 patients at discharge which can further be utilized for development of a tailor-made exercise program.

Quantitative assessment of muscle fatigue during rowing ergometer exercise using wavelet analysis of surface electromyography (sEMG).

In this paper, we present a quantitative assessment of muscle fatigue using surface electromyography (sEMG), a widely recognized method that is conducted through various analytical approaches, including analysis of spectral and time-frequency distributions. Existing research in this field has demonstrated considerable variability in the computational methods used. Although some studies highlight the efficacy of wavelet analysis in dynamic motion, few offer a comprehensive method for determining fatigue and applying it to specific movements. Previous research has focused primarily on discerning differences based on sport type or gender, with a notable absence of studies that presented results for quantifying fatigue during exercise with rowing ergometers. Developing on our previous work, where we introduced a method for determining muscle fatigue through wavelet analysis, considering biomechanical aspects of limb position changes, this current article serves as a continuation. Our study refines the research approach for a selected group, focusing on fatigue determination using the previously established method. The results obtained confirm the effectiveness of DWT analysis in assessing muscle fatigue, as evidenced by the achievement of negative values of the regression coefficients of Median Frequency (MDF) during exercises performed to maximal fatigue. Furthermore, it has been confirmed that the homogeneity of the group and, in the case of the examined group, the results previously achieved or lower limb strength do not have an impact on the results. Finally, we discuss the main limitations of our study and outline the subsequent steps of our investigation, providing valuable information for future investigations in this field.

Pandemic fatigue, behavioral intention and predictors of COVID-19 vaccination among individuals living with HIV in Bench Sheko Zone, in Southern Ethiopia, application of TBP: a facility based cross sectional study.

People living with HIV often face inequalities and negative outcomes, which make them vulnerable. To protect this population and achieve herd immunity, it is crucial for COVID-19 vaccination efforts to prioritize and encourage vaccination among people living with HIV (PLWH). However, in Ethiopia, there is a lack of motivation in this regard. To tackle this issue, a study was conducted in the Bench Sheko Zone of Southwest Ethiopia. The study aimed to assess pandemic fatigue, behavioral intention to get vaccinated, and factors influencing COVID-19 vaccine acceptance among PLWH in that region. A facility-based cross-sectional study was conducted among individuals living with HIV who were over 18 years old in Bench-Sheko Zone, located in Southwest Ethiopia. The study included a total of 590 participants from four ART healthcare facilities within the zone. The researchers utilized the Theory of Planned Behavior to examine the predictors of intention to use preconception care. Multiple linear regression analysis was employed to determine these predictors, with a p-value of less than 0.05 considered as indicative of a significant association. The final analysis of the study involved the use of linear regression analysis, and the measure of association was presented as the standardized B coefficient following a multivariable logistic regression analysis. In the conducted study, the response rate was an impressive 98%. The researchers aimed to investigate the behavioral intention toward the COVID-19 vaccine, which was found to be 55.7%. The average age of the participants in the study was 34.65 ± 6.67. The study was the assessment of pandemic fatigue, which had a mean value of 17.22 ± 5.28. During the multivariate linear regression analysis, four predictor variables were identified. Among these, three variables, namely subjective norm, pandemic fatigue, and age, positively influenced the behavioral intention toward the COVID-19 vaccine. Comprehending these factors can assist healthcare professionals and policymakers in formulating precise interventions and strategies aimed at enhancing the acceptance and adoption of vaccines. The study indicates that individuals living with HIV have shown lower vaccine intention compared to previous research. The study identifies subjective norm, pandemic control measures, income, and age as predictors of individuals' intention to receive the COVID-19 vaccine.

A Practical Procedure for Fatigue Assessment of Mooring Line Chains with Pitting Corrosion

Abstract Chain link fatigue failures in mooring lines have recently aroused the interest of the technical community in developing new design and monitoring methodologies focused on considering the effects of local corrosion. Experimental breakage test results evidenced that the effects of mean tension, pitting corrosion and surface roughness may influence the fatigue strength of chain links. A recently-developed methodology here denoted as Corrosion Grade considers the effects of mean tension and local corrosion through a visual assessment of the chain. The present work proposes a parametric correction factor to be used in the current S-N fatigue design methodology for considering local corrosion in studless chains. The parametric model is developed by means of finite element-based modeling of various pit shapes in the chain. The correction factor is fitted as a function of the pit aspect ratio. The proposed correction factor is combined with the Corrosion Grade methodology to obtain a final formula that considers the mean tension and the local corrosion. Results from both Corrosion Grade and the proposed correction factor are compared in three corroded experimental test samples. The proposed correction factor is capable of estimating the fatigue life of the corroded components analyzed with conservatism.

Impact of a private sector residential early parenting program on clinically significant postnatal depressive symptoms experienced by women: Audit of routinely collected data.

Early parenting services in Australia offer brief structured residential programs to address moderate to severe non-psychotic mental health problems among women and unsettled infant/toddler behaviours. The aims were to (1) estimate the immediate and medium-term impact of a five-night psychoeducational residential early parenting program on postpartum depressive symptoms and (2) identify the factors associated with improvement or worsening of postpartum depressive symptoms after completing the program and six weeks post-discharge. Audit of routinely collected medical record data from pre-admission, pre-discharge and post-discharge assessments of a consecutive cohort of women admitted, with their infants/toddlers in a 15-month period to Masada Private Hospital Early Parenting Centre. Data included structured questions assessing: demographic characteristics, access to family and social support, past and current mental health problems, reproductive and obstetric health, chronic health conditions, breastfeeding problems, coincidental major life events, health risk behaviours and infant/toddler feeding, sleeping and crying behaviours. Standardised instruments included the Partner Interaction after Birth Scale (PIBS), the MacLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), Modified Fatigue Assessment Scale (FAS) and selected items from the Karitane Parenting Confidence Scale. The primary outcomes were Edinburgh Postnatal Depression Scale scores at pre-discharge and follow up assessments. Data were analysed using multinomial logistic regression models in which individual and psychosocial characteristics at pre-admission were included as predictors of the likelihood of the changes of the outcomes from pre-admission to pre-discharge and follow up. Complete data from 1220 of 1290 (95%) eligible women were available to assess pre-admission to pre-discharge and from 559 (45.8%) to assess pre-discharge to six-week follow-up changes. The mean pre-admission EPDS score was 11.7 (95% CI: 11.5; 12.0), pre-discharge it was 7.1 (95% CI: 6.9; 7.4) and at six-week follow up it was 5.7 (95% CI: 5.3; 6.1). We found that almost all women experienced a clinically meaningful and rapid improvement in depressive symptoms of at least this magnitude (reduction in mean EPDS scores of 4.6 points from pre-admission to pre-discharge (five nights) and a further reduction of 1.2 points pre-discharge to follow up) (six weeks) and we identified an interpretable set of risk factors for symptoms that did not improve or worsened. The adverse outcomes were associated with having symptoms of borderline personality disorder, a partner experienced as lacking kindness and care, coincidental adverse events and having a child younger than six months. Residential early parenting programs, which take a psycho-educational approach to strengthening caregiving skills, maximising agency, and reducing helplessness, have a rapid beneficial effect on women's postpartum depressive symptoms. These programs provide a valuable and effective component of comprehensive mental health services. Long-term dialectical behaviour therapy is indicated for women with borderline personality disorder traits for whom early parenting programs alone are insufficient to improve depressive symptoms.

The assessment of fatigue and sleep quality among children and adolescents with familial Mediterranean fever: A case-control and correlation study

To evaluate the sleep quality and fatigue levels in children with familial Mediterranean fever (FMF) in comparison to healthy children. The Pediatric Quality of Life Multidimensional Fatigue Scale (PedsQL-MFS) and the Pittsburgh Sleep Quality Index (PSQI) were the instruments utilized to assess fatigue and sleep quality in children with FMF and controls, respectively. Spearman’s rank coefficient was decisive in determining the association between patient-reported outcome measures and disease-related features. Two hundred twenty-five (59.3% female) patients and 182 (51.6% female) healthy counterparts were enrolled in the study. In PSQI, where high scores indicate sleep disturbance, the median score was significantly higher in the patient group (5; 3–6) than the control group (3; 2–4) (p < 0.001). PEDsQL-MFS demonstrated significantly lower fatigue levels in the control group than patients (p = 0.01). The level of fatigue in the patient group was found to increase in correlation with sleep problems (r: − 0.750, p < 0.001). Additionally, a high correlation was present between the PSQI/PedsQL-MFS scores and the number of attacks in the last year (r: − 0.645, p < 0.001/r: 0.721, p < 0.001, respectively). There was no difference in terms of fatigue and sleep disorders between mutations (homozygous, heterozygous, or compound heterozygous) in the MEFV gene (p > 0.05). Conclusion: High disease activity has a significant negative impact on the sleep quality and fatigue levels of patients with FMF. This study emphasizes the importance of assessing fatigue and sleep quality with objective outcome tools periodically in FMF patients throughout the disease course.What is Known:• Fatigue is a common matter that often accompanies rheumatic diseases and causes disability.• Chronic rheumatic diseases often experience poor sleep quality.What is New:• In high correlation with the disease severity of familial Mediterranean fever, sleep quality decreases and fatigue level increases significantly.• In familial Mediterranean fever patients, a negative correlation is present between age and the general fatigue and sleep/rest related fatigue scores (low scores indicating greater fatigue) and sleep quality is poorer in the adolescent age group.

Special Issue on Fatigue, Performance, and Damage Assessments of Concrete

This Special Issue covers the latest research on fatigue, performance, and damage assessments of concrete. Concrete fatigue is known as a phenomenon characterized by the repetition of loads. The fatigue-based performance of concrete may be affected by a combination of diverse loads, mechanical strength properties, and environmental changes. These factors eventually lead to poor concrete performance. In this Special Issue, nine papers were accepted, divided into three subgroups: two papers on fatigue, two papers on performance, and five papers on damage assessment. Unlike articles published in past Special Issues, our Special Issue contains papers that address concrete performance in concrete pavement applications. In particular, six of the articles contained in this issue concentrate on pavement performance and damage assessments, especially in terms of the Pavement Condition Index. Together with a brief introduction, the keywords, research significance and potential impacts of each article are summarized in this Editorial.