Burnout during the COVID-19 pandemic among nurses in Taiwan: the parental role effect on burnout.

BACKGROUND: During the COVID-19 pandemic, medical workers were concerned about the care of their children or family members and the impact of being separated from them. This increased stress could harm the relationship between nurses and patients. This study assessed how medical workers' parental role may affect burnout during such a high-stress period. METHODS: This cross-sectional observational study was carried out in 2021 during the COVID-19 pandemic. The client burnout (CB) scale of the Copenhagen Burnout Inventory, the Nordic Musculoskeletal Questionnaire, and a demographic questionnaire were used. Statistical methods such as the t-test, one-way ANOVA, and univariable/multiple linear regression were applied. RESULTS: A total of 612 nurses were included in this study. The likely risk factors of CB were identified and the parenthood effect was found to be associated with reduced CB. The parental role and leisure activity with family and friends on CB were found to have an impact. Engaging in leisure activity with family and playing the role of a parent diligently will help relieve nurses' burnout from frequent contact with patients and their families, thus lowering the risk of clinical burnout. CONCLUSION: The parental role, family/friends relationships, and a complex work environment associated with nurses' burnout during the COVID-19 pandemic. This finding allows us to re-examine the importance of family life and parent-child relationships in high-stress work environments.

Sleep Quality and Self-Stigma Mediate the Association Between Problematic Use of Social Media and Quality of Life Among People With Schizophrenia in Taiwan: A Longitudinal Study.

OBJECTIVE: Problematic use of social media (PUSM) may affect sleep quality and self-stigma in people with schizophrenia and consequently reduce their quality of life (QoL). This longitudinal study investigated if sleep quality and self-stigma mediated relationships between PUSM and QoL. METHODS: One-hundred-and-ninety-three outpatients with schizophrenia were recruited from a psychiatric center in Taiwan from April 2019 to August 2021 and participated in a longitudinal study at intervals of three months between measurements. QoL was assessed using the World Health Organization Quality of Life Questionnaire Brief Version; sleep quality using the Pittsburgh Sleep Quality Index; self-stigma using the Self-Stigma Scale-Short; and PUSM using the Bergen Social Media Addiction Scale. Via SPSS 20.0, general estimating equation models assessed temporal associations between variables. Via R software, mediating effects of self-stigma and sleep quality were examined through Monte Carlo simulations with 20,000 repetitions. RESULTS: Mean scores of physical, psychological, social and environmental QoL ranged from 11.86 to 13.02. Mean scores of sleep quality and self-stigma were 9.1±4.5 and 2.2±0.8, respectively. Sleep quality and self-stigma were directly related to QoL (p<0.001) and mediated indirect relationships between PUSM and all components of QoL with a range of 95% confidence intervals spanning from -0.0591 to -0.0107 for physical QoL; -0.0564 to -0.0095 for psychological QoL; -0.0292 to -0.0035 for social QoL; and -0.0357 to -0.0052 for environmental QoL. CONCLUSION: Sleep quality and self-stigma mediated relationships between PUSM and QoL in people with schizophrenia. Developing interventions targeting PUSM, sleep, and self-stigma may help improve QoL in people with schizophrenia.

Weight stigma is associated with body mass index among college students in Taiwan: the mediated role of internalized weight stigma.

BACKGROUND: Weight stigma is an issue often studied in Western countries; however, such information is scarce in Asian studies. METHODS: This study aimed to examine the role of internalized weight stigma as a mediator in the relationship between perceived weight stigma and changes in body mass index (BMI). The data were collected through a longitudinal online survey with two phases (n = 974; Phase 1: August and September 2021; Phase 2: November and December 2021). The Perceived Weight Stigma Scale (PWSS), Weight Self-Stigma Questionnaire (WSSQ), and Depression, Anxiety, Stress Scale - 21 (DASS-21) were administered to assess perceived weight stigma, internalized weight stigma, and psychological distress. Hierarchical regressions were used to examine the proposed model, and Hayes' Process Macro was used to test a mediation model. RESULTS: The changes in perceived weight stigma and internalized weight stigma were significantly and positively associated with changes in BMI. There were significant and positive associations between perceived weight stigma, internalized weight stigma and psychological distress over time. Change in internalized weight stigma was found to be a significant mediator in the association of change in perceived weight stigma with change in BMI for the entire sample (unstandardized coefficient = 0.04; 95% CI = 0.02, 0.06), female subgroup (unstandardized coefficient = 0.05; 95% CI = 0.02, 0.08), and male subgroup (unstandardized coefficient = 0.03; 95% CI = 0.01, 0.06). Change in perceived weight stigma also had significant effects on change in BMI for the entire sample and the female subgroup, but not for the male subgroup. CONCLUSION: Because perceived weight stigma may significantly impact changes in BMI through internalized weight stigma, treatment strategies to ameliorate self-stigma may enhance the results of weight-reduction programs. Such treatment strategies should be considered for inclusion in weight-loss interventions.

Weight stigma is commonly studied in Western countries rather than in Asian ones. To further explore how internalized weight stigma mediates the relationship between perceived weight stigma and the changes in body mass index (BMI), the study collected data through a longitudinal online survey with two phases by applying the Perceived Weight Stigma Scale (PWSS), Weight Self-Stigma Questionnaire (WSSQ) and Depression, Anxiety, Stress Scale − 21 (DASS-21) to assess perceived weight stigma, internalized weight stigma, and psychological distress. The changes in perceived and internalized weight stigma were significantly and positively associated with changes in BMI. There were significantly positive associations between perceived weight stigma, internalized weight stigma, and psychological distress over time. Based on the findings, treatment strategies to alleviate self-stigma may enhance the results of weight-reduction programs and should be considered for inclusion in weight-loss interventions.

Measurement Invariance and Psychometric Evaluation of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS) Among Mainland Chinese University Students.

Introduction: Preventative factors in young people's physical inactivity require further understanding, including related psychosocial factors (eg, body image and weight stigma). The Tendency to Avoid Physical Activity and Sport Scale (TAPAS) is a recently developed instrument to address this issue and the present study examined its psychometric properties among Chinese university students particularly in relation to patterns across sex, physical activity (PA) level, and weight status. Methods: Using a convenience sample of 3142 students (mean age = 19.8 years; 56% female) in mainland China, data were collected using an online survey between August and October 2022. Psychometric instruments including the Weight Bias Internalization Scale, 21-item Depression, Anxiety and Stress Scale, and International Physical Activity Questionnaire Short Form were administered along with the TAPAS to assess convergent and discriminant validity. Multi-group confirmatory factor analysis (CFA) assessed the measurement invariance across specific groups. Results: The unidimensional structure of the scale was confirmed through CFA (CFI=0.995; RMSEA=0.046). All configural, metric and scalar models of invariance indicated that the scale was invariant across sex, PA level, and weight status. Acceptable convergent and discriminant validity for the scale were found. Conclusion: The TAPAS is a suitable instrument to assess body image and weight stigma concerns for avoiding physical activity and sport among Chinese university students.

Psychometric Properties of the Spiritual Coping Strategies Scale-Chinese Version (SCSS-C) for Adults in Taiwan.

This study examined the psychometric properties of the Spiritual Coping Strategies Scale-Chinese version (SCSS-C) in Taiwanese adults. A convenience sample of 232 participants in Taiwan completed an online survey, and 45 of the 232 participants completed the SCSS-C again over a 2 week interval. The content validity index of the SCSS-C was 0.97. Parallel analysis and exploratory factor analysis results revealed two factors (religious coping and non-religious coping). The internal consistency of the SCSS-C was satisfactory (α = 0.88 to 0.92). Test-retest reliability was satisfactory (r = 0.68 to 0.89). The psychometric properties of the SCSS-C were found to be acceptable for use in Taiwanese adults.

An Intervention Program Using the Health Belief Model to Modify Lifestyle in Coronary Heart Disease: Randomized Controlled Trial.

BACKGROUND: Most effective interventions to control coronary heart disease (CHD) and prevent negative outcomes involve behavioral modification. This study examined how such modification based on the Health Belief Model (HBM) might improve lifestyle and clinical outcomes. METHODS: A total of 120 people with CHD seeking help at a general hospital in Iran were randomly assigned to either the intervention or control group. Information was collected using an HBM-specific questionnaire and the Health Promoting Lifestyle II (HPLP-II) scale. Clinical outcomes (blood pressure, body mass index, and fasting blood sugar) were also measured. The intervention group received a tailored education based on HBM principles plus routine care, while those in the control group received only routine care. Three months after the intervention, both groups were reassessed using Student's t test and analysis of covariance. RESULTS: All HBM subscale scores indicated significant improvements in the intervention group, in contrast to the control group, where scores worsened or stayed the same. Perceived severity and susceptibility were the dimensions that changed most. Total score on the HPLP-II improved significantly in the intervention group (p < 0.001, F = 747.5); however, subscale scores on spiritual growth and interpersonal relationships did not demonstrate significant between-group differences at follow-up. After adjustment for baseline scores, significant improvements in lifestyle subscales were also accompanied by significant improvements in clinical measures. CONCLUSIONS: This HBM-based behavior modification program improved both lifestyle and clinical measures in patients with CHD. Utilizing this program in patients with other cardiovascular diseases may in the future demonstrate similar results.

Behind-the-Meter Load and PV Disaggregation via Deep Spatiotemporal Graph Generative Sparse Coding With Capsule Network.

Nowadays, rooftop photovoltaic (PV) panels are getting enormous attention as clean and sustainable sources of energy due to the increasing energy demand, depreciating physical assets, and global environmental challenges. In residential areas, the large-scale integration of these generation resources influences the customer load profile and introduces uncertainty to the distribution system's net load. Since such resources are typically located behind the meter (BtM), an accurate estimation of BtM load and PV power will be crucial for distribution network operation. This article proposes the spatiotemporal graph sparse coding (SC) capsule network that incorporates SC into deep generative graph modeling and capsule networks for accurate BtM load and PV generation estimation. A set of neighboring residential units are modeled as a dynamic graph in which the edges represent the correlation among their net demands. A generative encoder-decoder model, i.e., spectral graph convolution (SGC) attention peephole long short-term memory (PLSTM), is devised to extract the highly nonlinear spatiotemporal patterns from the formed dynamic graph. Later, to enrich the latent space sparsity, a dictionary is learned in the hidden layer of the proposed encoder-decoder, and the corresponding sparse codes are procured. Such sparse representation is used by a capsule network to estimate the BtM PV generation and the load of the entire residential units. Experimental results on two real-world energy disaggregation (ED) datasets, Pecan Street and Ausgrid, demonstrate more than 9.8% and 6.3% root mean square error (RMSE) improvements in BtM PV and load estimation over the state-of-the-art, respectively.

Health education using the theory of planned behavior to modify ergonomic posture in hospital computer users: a randomized controlled trial.

OBJECTIVE: Work-related musculoskeletal disorders are prevalent in those who use computers, and education using ergonomic principles may be helpful to prevent such conditions. The present study sought to identify how an educational intervention based on the theory of planned behavior (TPB) may be effective for adopting healthy ergonomic postures. METHODS: A convenience sample of 162 computer users working in a hospital setting in Iran were randomly assigned to intervention or control groups. The intervention group (n = 81) received six weekly educational sessions based on TPB principles, whereas the control group received no intervention during the study period. Both groups were assessed at baseline and 3 months after the intervention using a TPB questionnaire, rapid office strain assessment (ROSA), and Nordic musculoskeletal questionnaire. Data were analyzed using the independent/paired Student's t test, chi-square, and analysis of covariance. RESULTS: All TPB constructs in the intervention group improved from baseline to follow-up, indicating considerable progress compared to the control group (p < 0.001). More than 60% of intervention and control groups were categorized as high risk at baseline in terms of ergonomic posture measured by ROSA. This percentage was reduced to 21% for intervention group and increased to 65% in the control group at follow-up. Symptom relief was obtained for wrist/hands, lower back, neck, shoulders and upper back in the intervention group (all p < 0.05). The number of affected areas also significantly decreased in the intervention group compared to the control group three months after the intervention. CONCLUSION: Educational programs based on TPB principles may be helpful in correcting ergonomic postures among computer users. Such interventions are recommended for worksite health promotion in that they may prevent the development of musculoskeletal disorders in staff.

Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis.

BACKGROUND: Depression is a mental health problem and substance use concerns are socially unacceptable behaviors. While depression and substance use may individually impact self-concept and social relationships, their co-occurrence can increase the risk of self-stigmatization. However, there is no evidence regarding how depression and self-stigma may influence each other over time. The aim of the current study was to evaluate the cross-sectional and longitudinal relationships between features of depression and self-stigma in people with substance use disorders. METHODS: Overall, 319 individuals with substance use disorders (273 males) with a mean (± SD) age of 42.2 (± 8.9) years were recruited from a psychiatric center in Taiwan by convenience sampling. They were assessed for features of depression and self-stigma at four times over a period of nine months using the depression subscale of the Depression Anxiety Stress Scales (DASS-21) and Self-Stigma Scale-Short S (SSS-S), respectively. Repeated-measures analyses of variance, Pearson correlations and cross-lagged models using structural equation modeling examined cross-sectional and temporal associations between depression and self-stigma. RESULTS: Positive cross-sectional associations were found between depressive features and all assessed forms of self-stigma over time (0.13 < r < 0.92). Three models of cross-lagged associations between different forms of self-stigma and depressive features indicated good fit indices (comparative fit index > 0.98). The direction of associations between depressive features towards self-stigma was stronger than the opposite direction. CONCLUSION: Positive associations between depressive features and self-stigma were found in people with substance use disorders. Although these associations may be bidirectional longitudinally, the directions from depressive features to self-stigma may be stronger than the reverse directions, suggesting treatment of depression in earlier stages may prevent self-stigmatization and subsequent poor outcomes in people with substance use disorders.

Yale Food Addiction Scale 2.0 (YFAS 2.0) and modified YFAS 2.0 (mYFAS 2.0): Rasch analysis and differential item functioning.

BACKGROUND: Food addiction (FA) is a prevalent concern that may manifest as poorly controlled food consumption and promote overweight/obesity. Thus, having a well-established instrument for assessment may facilitate better prevention and treatment. The current study investigated the psychometric properties of two common measures of FA (i.e., the Yale Food Addiction Scale [YFAS] 2.0 and its modified version, mYFAS 2.0) using a robust statistical analysis (Rasch model). METHODS: In this cross-sectional study, the scales were sent to 974 students studying in higher education (60% females) in Taiwan through online media including email and social networks. Rasch modeling was used to assess dimensionality, difficulty level, and item misfit and hierarchy. Differential item functioning (DIF) was performed to examine consistency of the items across gender and weight status. RESULTS: Rasch analysis indicated 3 items of the 35 items belonging to the YFAS 2.0 (8.6%) and none belonging to the mYFAS 2.0 were misfit. Unidimensionality and construct validity of both scales were supported by appropriate goodness-of-fit for diagnostic criteria. The person separation was 3.14 (reliability = 0.91) for the YFAS 2.0 and 2.17 (reliability = 0.82) for mYFAS 2.0, indicating the scales could distinguish participants into more than 3 strata. Only one substantial DIF was found for diagnostic criteria of "Failure to fulfill major role obligation" in the YFAS 2.0 across gender. CONCLUSION: According to Rasch modeling, both the YFAS 2.0 and mYFAS 2.0 have acceptable construct validity in Chinese-speaking youth. Scoring methods using either diagnostic criteria or symptom counts for both the YFAS 2.0 and mYFAS 2.0 are supported by the present Rasch findings.

Food addiction is related to eating disorders and may overlap with a variety of disorders, including binge-eating disorder, night-eating syndrome, bulimia nervosa or other conditions. Therefore, it is important for healthcare providers to assess food addiction and one commonly used method is using the Yale Food Addiction Scale (YFAS) developed by Gearhardt and her colleagues. The YFAS has been updated and revised into two versions: the YFAS 2.0 and modified YFAS 2.0 (i.e., mYFAS 2.0). Psychometric testing studies have reported the feasibility and adequate properties for both the YFAS 2.0 and mYFAS 2.0. However, prior studies' findings were based on classical test theory (CTT) findings. The present study thus used a modern test theory (i.e., Rasch models) to examine if both the YFAS 2.0 and mYFAS 2.0 have similarly satisfactory psychometric properties shown in the CTT findings. The present findings using Rasch models support the use of both the YFAS 2.0 and mYFAS 2.0 to assess food addiction among youth. Therefore, healthcare providers may use either the YFAS 2.0 or mYFAS 2.0 to assess levels of food addiction.

Effects of sleep quality on the association between problematic internet use and quality of life in people with substance use disorder.

BACKGROUND: Problematic internet use, especially in people with substance use disorder, may negatively affect their quality of life (QoL). However, it is unclear whether sleep quality is a key mediator in the association between problematic internet use and QoL among people with substance use disorder. AIMS: This study aimed to investigate the relationship between problematic internet use and QoL and how sleep quality may mediate the association between these two variables. METHOD: Overall, 319 people (85% male) with substance use disorder (mean age 42.2 years, s.d. 8.9) participated in a cross-sectional study in Taiwan. The Smartphone Application-Based Addiction Scale, Bergan Social Media Addiction Scale, Internet Gaming Disorder-Short Form, Pittsburgh Sleep Quality Index and World Health Organization Quality of Life Questionnaire Brief Version were used. RESULTS: The prevalence of sleep problems was 56%. There were significant and direct associations between sleep quality and two types of problematic internet use, and between sleep quality and different dimensions of QoL. All types of problematic internet use were significantly and negatively correlated with QoL. Mediated effects of sleep quality in relationships between the different types of problematic internet use and all dimensions of QoL were significant, except for problematic use of social media. CONCLUSIONS: Different types of problematic internet use in people with substance use disorder may be directly associated with reduced QoL. Sleep quality as a significant mediator in this association may be an underlying mechanism to explain pathways between problematic internet use and QoL in this population.

An educational intervention using the health belief model for improvement of oral health behavior in grade-schoolers: a randomized controlled trial.

BACKGROUND: Oral health problems especially dental caries are common in school children, and education programs may help to prevent these conditions. The aim of current study was to examine the effects of an educational program based on a Health Belief Model (HBM) to improve oral health behaviors of elementary school children. METHODS: A total of 112 children ages 6-12 years old accompanied by one of their parents were randomly assigned to intervention/test and control groups. In the intervention group, five consecutive weekly educational sessions based on the HBM were provided, while the control group received only routine education delivered by the dental clinic. The Decayed, Missing, and Filled Teeth (DMFT) score, papillary bleeding index, and responses to the HBM questionnaire were assessed in the intervention and control groups at baseline and three-month follow-up after the intervention was completed. Within-group and between-group differences were examined using the Student's t-test and analysis of covariance. RESULTS: All HBM domains were improved at follow-up in the intervention group compared to the control group (p < 0.001). The largest change was in perceived susceptibility, whereas the smallest changes were in perceived severity and perceived benefits. The papillary bleeding index demonstrated a significant change from baseline to follow-up in the intervention group (reduction of 0.7, 95% CI = - 0.9 to - 0.5). All components of the DMFT score except missing teeth also improved in the intervention group compared to controls. However, no significant difference was found in total DMFT score between intervention and control groups. CONCLUSION: An education program based on HBM may be more effective than current methods used to educate children and their parents on optimal oral health behaviors. Administration of interventions of this type along with other school-based programs to prevent dental caries may be helpful in grade-school children.

Effects of Weight-Related Self-Stigma and Smartphone Addiction on Female University Students' Physical Activity Levels.

Physical inactivity is a common health problem in female college students, and factors such as weight self-stigma and smartphone addiction may negatively impact physical activity in this population. The aim of the current study was to investigate the associations between these variables and identify the moderating effects of smartphone addiction between weight stigma and physical activity. Using a cross-sectional study, information on the level of physical activity in the past week, weight-related self-stigma, and smartphone addiction, as well as demographics, were collected via an online survey from 391 female college students in Taiwan. Participants in two groups of moderate to high and low physical activity were compared using a zero-order bivariate correlation in terms of independent variables. A moderated mediation model using Model 14 in the Hayes' PROCESS macro with 1000 bootstrapping resamples was applied to assess moderation effects. There were significant differences in terms of weight status, smartphone addiction, and weight stigma between active and inactive groups (p < 0.001). All independent variables except for age were positively correlated (0.14 < r < 0.45). Multivariate regression models indicated that weight status was associated with weight stigma (odds ratio [OR] = 9.13, p < 0.001; 95% CI = 6.90, 11.35). Weight status (OR = 0.47, p = 0.03; 95% CI = 0.23, 0.93), weight stigma (OR = 0.96, p = 0.03; 95% CI = 0.922, 0.997), and smartphone addiction (OR = 0.11, p = 0.003; 95% CI = 0.03, 0.47) were associated with physical activity. The moderating role of smartphone addiction on the association between weight stigma and physical activity was also identified (OR = 1.05, p = 0.049; 95% CI = 1.0001, 1.1004). The moderating effect of smartphone addiction on the association between weight stigma and physical activity suggests that designing interventions to address the negative impacts of both weight stigma and smartphone addiction may help to improve physical activity in female college students.

The mediation effect of perceived weight stigma in association between weight status and eating disturbances among university students: is there any gender difference?

BACKGROUND: The study aimed to examine the association between perceived weight stigma (PWS), weight status, and eating disturbances. We hypothesized that PWS would partially mediate the association between weight status and eating disturbances among university students. METHODS: The study involved 705 undergraduate students (379 females and 326 males) recruited from Hong Kong and Taiwan Universities (399 Hong Kong; 306 Taiwan participants). Our sample was from one Hong Kong university (located in Kowloon) and five Taiwan universities (three located in Southern Taiwan, one located in Central Taiwan, and one located in North Taiwan). Participants' mean age was 20.27 years (SD = 1.79). All participants completed a demographic information sheet, the Three-Factor Eating Questionnaire-18 (TFEQ-R18), and the PWS questionnaire. PROCESS macro models were used to analyze potential mediations. RESULTS: We found a significantly higher PWS scores in a high weight group for females and males. There was a significant difference between weight status and eating disturbances. Moreover, PWS partially mediated the association between weight status and eating disturbances for both genders. CONCLUSIONS: PWS is associated with weight status and eating disturbances, making it an important target for health improvement among young adults. Further studies are needed to corroborate such associations in participants from other societies and cultures.

Perceived weight stigma, weight status (e.g., low weight, average weight, and high weight) and eating disturbances have been found to have associations between each other. However, such research is needed among Asians, and the present study examined a mediation mechanism among the three factors (i.e., perceived weight stigma, weight status, and eating disturbances). Using data from 705 university students across two regions (Hong Kong and Taiwan), the present study revealed that weight status might be associated with perceived weight stigma, and perceived weight stigma might be associated with eating disturbances. Such findings were consistent across male and female university students. The present study's findings underscore the importance of perceived weight stigma. Reducing perceived weight stigma may be an important strategy in developing health eating behaviors among university students.

The Fear of COVID-19 Scale: Development and Initial Validation.

Background: The emergence of the COVID-19 and its consequences has led to fears, worries, and anxiety among individuals worldwide. The present study developed the Fear of COVID-19 Scale (FCV-19S) to complement the clinical efforts in preventing the spread and treating of COVID-19 cases. Methods: The sample comprised 717 Iranian participants. The items of the FCV-19S were constructed based on extensive review of existing scales on fears, expert evaluations, and participant interviews. Several psychometric tests were conducted to ascertain its reliability and validity properties. Results: After panel review and corrected item-total correlation testing, seven items with acceptable corrected item-total correlation (0.47 to 0.56) were retained and further confirmed by significant and strong factor loadings (0.66 to 0.74). Also, other properties evaluated using both classical test theory and Rasch model were satisfactory on the seven-item scale. More specifically, reliability values such as internal consistency (α = .82) and test-retest reliability (ICC = .72) were acceptable. Concurrent validity was supported by the Hospital Anxiety and Depression Scale (with depression, r = 0.425 and anxiety, r = 0.511) and the Perceived Vulnerability to Disease Scale (with perceived infectability, r = 0.483 and germ aversion, r = 0.459). Conclusion: The Fear of COVID-19 Scale, a seven-item scale, has robust psychometric properties. It is reliable and valid in assessing fear of COVID-19 among the general population and will also be useful in allaying COVID-19 fears among individuals.

Effect of Spiritual Care Based on the Sound Heart Model on Spiritual Experiences of Hemodialysis Patients.

Hemodialysis patients require spiritual care due to their spiritual distress. This study aimed to investigate the effect of spiritual care on spiritual experiences of hemodialysis patients. This randomized controlled trial was conducted in 2017 at hemodialysis departments of Baqiyatallah and Cham ran hospitals in Tehran. The volunteer patients were selected by available sampling according to the inclusion criteria. Participants were randomly assigned to intervention and control groups. Interventions were performed in the educational-supportive nursing system according to the patients' self-care ability. Eight individual counseling sessions, 15-45 min, face-to-face, during dialysis, once a week were implemented for intervention group. Developing the relationship with God, self, people and nature were the main goals of care. Daily spiritual experience questionnaire was completed by patients before and three months after the intervention. There was no significant difference in the spiritual experience score of the intervention (75.20 ± 9.14) and control group (76.63 ± 10.03), before the intervention (P = 0.523). There was a statistically significant difference between the intervention (82.93 ± 5.69) and the control group score (77.24 ± 12.09) three months after the intervention (P < 0.0001). Due to the need for holistic and community-oriented care and the positive effect of this study, the use of the Sound Heart Model is recommended for Muslim patients.

Fear of COVID-19 and religious coping mediate the associations between religiosity and distress among older adults.

Background: A mediation model was proposed to explain how religiosity, religious coping, and fear of coronavirus disease 2019 (COVID-19) explained anxiety and depression among older adults. Methods: With the use of a cross-sectional design, the Integrated Health System was used to randomly invite 1000 older adults residing in Qazvin to participate in an online survey. Within the period of November 2020 to January 2021, 696 older Iranian adults (mean age=69.56years; 57.9% women) agreed to participate in the study and reported demographic information as well as measures of religiosity, fear of COVID-19, religious coping, anxiety, and depression. Results: Religiosity had direct effects on depression (B [SE]=-0.087 [0.037]; P=0.023) but not anxiety (B [SE]=-0.063 [0.036]; P=0.072). Moreover, both fear of COVID-19 and religious coping significantly mediated the association between religiosity and anxiety (B [SE]=-0.360[0.035]; p=0.002) and that between religiosity and depression (B [SE]=-0.365 [0.034];P=0.002). Conclusion: During the tough time of COVID-19 pandemic, religiosity and religious coping were protectors for older adults in developing good mental. Therefore, future research is needed to examine education programs that are effective for older adults to obtain correct knowledge concerning COVID-19, including the protective COVID-19 infection behaviors. Therefore, older adults may reduce their fear via their enhanced correct knowledge concerning COVID-19.

Effect of a Multistage Educational Skill-Based Program on Nurse's Stress and Anxiety in the Intensive Care Setting: A Randomized Controlled Trial.

BACKGROUND: Psychological problems such as stress and anxiety are prevalent among working nurses in the intensive care units (ICUs). This study was aimed at investigating the effects of three skill-based educational programs on stress and anxiety among critical care nurses. METHODS: Using a randomized controlled trial, 160 nurses were assigned to four groups including one control and three intervention groups. A standard skill-based educational program was delivered to three intervention groups using booklet, booklet+oral presentation, and booklet+oral presentation+clinical teaching over a period of one month to reduce different types of stress and anxiety. The control group received routine education only. Perceived stress, state anxiety, trait anxiety, and work-related stress were assessed at baseline and three times after the intervention (15 days, 3 months, and 21 months). Repeated-measure analysis of variance was used for data analysis. RESULTS: There was no significant change in the control group in terms of study variables during follow-up assessments, whereas measures of stress and anxiety were reduced after intervention in the trial groups except trait anxiety. Nurses in the mixed-method group (booklet+oral presentation+clinical teaching) showed less stress and anxiety during follow-ups. Although the stress and anxiety scores decreased in the first and second follow-ups, there was no significant reduction in the third follow-up. CONCLUSIONS: To improve the mental health and performance of the intensive care unit nurses, knowledge-based and skill-based training programs seem useful. Continuous training may help to maintain the effectiveness of these programs over time.

Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process.

In recent years, deep neural networks have shown significant progress in computer vision due to their large generalization capacity; however, the overfitting problem ubiquitously threatens the learning process of these highly nonlinear architectures. Dropout is a recent solution to mitigate overfitting that has witnessed significant success in various classification applications. Recently, many efforts have been made to improve the Standard dropout using an unsupervised merit-based semantic selection of neurons in the latent space. However, these studies do not consider the task-relevant information quality and quantity and the diversity of the latent kernels. To solve the challenge of dropping less informative neurons in deep learning, we propose an efficient end-to-end dropout algorithm that selects the most informative neurons with the highest correlation with the target output considering the sparsity in its selection procedure. First, to promote activation diversity, we devise an approach to select the most diverse set of neurons by making use of determinantal point process (DPP) sampling. Furthermore, to incorporate task specificity into deep latent features, a mutual information (MI)-based merit function is developed. Leveraging the proposed MI with DPP sampling, we introduce the novel DPPMI dropout that adaptively adjusts the retention rate of neurons based on their contribution to the neural network task. Empirical studies on real-world classification benchmarks including, MNIST, SVHN, CIFAR10, CIFAR100, demonstrate the superiority of our proposed method over recent state-of-the-art dropout algorithms in the literature.