Stress and Health最新文献

The global COVID-19 pandemic saw marked research and clinical interest in evaluating pandemic-related distress, namely fear and anxiety regarding infection and death. The most widely used and earliest developed measure of COVID-19 distress is Ahorsu et al. (2022) seven-item Fear of COVID-19 Scale (FCV-19S). To investigate the factor structure and measurement equivalence of the FCV-19S, we conducted an item-level meta-analysis synthesizing 1155 effect sizes across k = 55 independent samples comprising N = 71,161 individuals. We found that a two-factor measurement model comprising a four-item Emotional factor and a three-item Psychosomatic factor exhibits better fit than the originally proposed single-factor measurement model. Moreover, the bidimensional FCV-19S exhibits partial scalar/strong invariance across the general population, healthcare workers, schoolteachers, and university students as well as partial metric/weak invariance across samples from Bangladesh, China, Japan, Pakistan, Poland, and Portugal. Despite the theoretical and practical implications of these findings, more primary research across a wider range of sample types and countries is undoubtedly needed for further evaluation of the FCV-19S's psychometric properties and generalizability.

Internet-based interventions have proven to be effective for the treatment of depression in different samples, but evidence from the Middle East and North Africa (MENA) region is scarce. The aim of this study was to investigate the acceptance and efficacy of an internet-based cognitive behavioural writing intervention for Arabic-speaking participants with depression living in the MENA region. A total of 259 participants (167 female, age in years: M = 25.58, SD = 6.39) with depressive symptoms indicative of clinical relevance were randomly allocated to a treatment group (TG; n_TG = 128) or a waitlist control group (WG; n_WG = 131). The TG received an internet-based intervention over a 6-week period. The primary outcome was depressive symptoms, and secondary outcomes were anxiety and quality of life (QoL). T-tests with change scores from pre- to post-treatment were used for data analyses. Intention-to-treat (ITT) as well as completer analyses were calculated. The ITT analysis revealed significant differences between the TG and WG in depression (T₂₅₇ = -4.89, p < 0.001, d = 0.70) and QoL (T₂₅₇ = 3.39, p < 0.001, d = 0.47). Significant differences regarding anxiety symptoms (T₂₅₇ = 3.25, p < 0.05, d = 0.53) were identified for the completer sample. The general dropout rate was 39.9%. The results indicate the feasibility and efficacy of an internet-based cognitive behavioural writing intervention in adults from Arabic-speaking countries. The development and implementation of such interventions can be used to improve access to psychological help and adequate treatment.

Vicarious trauma (VT) is an occupational challenge incurred through hearing about traumatic experiences of others such as child maltreatment, mass casualties, and others while serving in helping professions. Without sufficient resources and support, long-term exposure can lead to symptoms such as intrusion, avoidance, arousal, emotional numbing, anxiety, and decline in one's ability to work. Organisations can mitigate VT's impact by addressing the needs of staff through 5 evidence-informed areas of occupational health. This project explored the impact of VT-informed practices on organisational responses to the COVID-19 pandemic. We compared responses from 50 organisations on strengths and weaknesses in core areas of being VT-informed to how those organisations responded to the COVID-19 pandemic. Subscales of the VT Organizational Readiness Guide (VT-ORG) were utilized as the exposure variables and 4 new COVID-19 questions served as the outcome. We ran a series of multilevel linear regression models with clustering controlled for at the organisational level. Staff ratings on 4 of the 5 pillars of the VT-ORG were positively associated with the organisation's responsiveness to the pandemic. Various demographic factors of the employees were negatively associated with organisations' responsiveness to the pandemic. While this study contributes to the growing research on VT, it also provides justification for helping organisations to become VT-informed; it provides evidence that being prepared for VT can also be useful to support workers and their communities during emergencies such as the COVID-19 pandemic.

To assess if the impacts of prenatal maternal stress (PNMS) on neonatal physical development including birth weight and body length vary by trimesters, and to explore the mediating effect of sleep quality in the relationships. A total of 2778 pregnant women were included from the Shanghai Maternal-Child Pairs Cohort. PNMS and sleep quality were measured in the first trimester (12-16 gestational weeks) and third trimester (32-36 gestational weeks) using the Life Event Scale for Pregnant Women (LESPW) and Pittsburgh Sleep Quality Index, respectively. And total LESPW scores were classified into three groups: high stress (≥75th percentile), medium stress (≥25th and <75th percentile), and low stress (<25th percentile). Multiple linear and logistic regressions were employed to examine the associations between PNMS and birth weight, and bootstrap were utilized to explore the mediating effects of maternal sleep. Higher (adjusted odds ratio, aOR = 1.521; 95% confidence interval (CI), 1.104-2.096) and medium (aOR = 1.421; 95% CI, 1.071-1.885) PNMS and stress from subjective events (aOR = 1.334; 95% CI, 1.076-1.654) in the first trimester were significantly associated with elevated risk for large for gestational age. Maternal severe negative objective events stress (OE3) in the third trimester were negatively associated with birth weight (β = -0.667; 95% CI, -1.047∼-0.287), and maternal sleep latency during this period acted as a mediator in the association (indirect effect: β = -0.0144; 95% CI, -0.0427∼-0.0003). Besides, a significant negative correlation between total LESPW score (β = -0.022; 95% CI, -0.038∼-0.006; per 100 score) and body length in the third trimester was also observed. The impact of PNMS on neonatal birth weight varies by stress types and exposure timing. Prolonged maternal sleep latency in the third trimester correlated with lower birth weight, and mediating the link of OE3 and birth weight, which might indicate a critical period of vulnerability to the effects of PNMS on neonatal physical development.

The emergence of the novel COVID-19 disease and the social distancing measures implemented to curb its spread affected most aspects of daily life. Past work suggests that during times of more severe stress, people respond to daily stressors with relatively higher negative affect. However, little is known about how people responded to daily stressors and positive events at different moments in time during the COVID-19 pandemic. Thus, we examined longitudinal changes in daily event-related affect (covariation of daily stressors or positive events with same-day affect) from Spring 2020 (wave 1) to 2022 (wave 2). The sample consisted of 324 adults aged 18-80 (mean = 52 years; 89% women) from the US and Canada who completed weeklong daily diaries at both waves. The results revealed improvements in affective well-being, stressor-related affect (i.e., smaller fluctuations in affect on stressor days vs. nonstressor days), and positive event-related affect (i.e., lower negative affect on days with vs. without positive events). Furthermore, as people gradually resumed their social activities from 2020 to 2022, people reported being exposed to an increased frequency of both stressors and positive events. This study highlights the potential influence of socio-historical phenomena, such as an ongoing pandemic, on the events that people encounter and how they emotionally respond to them.

Higher Education Institutes (HEIs) have been met with an unprecedented demand on their student counselling and wellbeing services in recent years with the impacts of COVID-19 and high rates of mental health concerns amongst student populations. Online mental health programs offer one solution by providing students with quick and easy access to effective therapeutic content. The Focused Minds Program is an evidence-based eight-module online self-guided cognitive behavioural intervention that targets the transdiagnostic risk factor of perfectionism and has been shown to decrease depression, anxiety, and disordered eating. The program was implemented at a UK university between 2021 and 2023. Recruitment occurred via departmental emails, academic staff, and the university's counselling staff and website. Participants were provided with access to the intervention for 6-weeks and completed weekly surveys of psychosocial measures. The trial's implementation was assessed using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework: reach (uptake via the recruitment channels), effectiveness (outcomes on psychometric measures of mental wellbeing), adoption (staff and organisational support), implementation (intervention engagement and attrition), and maintenance (continued implementation across the trial period). Key barriers to successful implementation, as well as proposed solutions, are discussed to guide future online mental health interventions provided in HEIs.

Cyberloafing, the use of the Internet for non-work-related activities while at work, has become a growing problem in the workplace. Since cyberloafing is commonly regarded as counterproductive, anticipating and controlling employees' cyberloafing behaviour is becoming increasingly important. Previous research suggests that individuals who engage in cyberloafing may have difficulties regulating their attention to important tasks. Based on self-regulation theory, our study examines the influence of job reattachment on cyberloafing through the mediating role of mindfulness and the moderating role of goal commitment. Data for this study were collected in China through surveys conducted with 275 employees at three different time points. The results showed that: (1) job reattachment was significantly negatively associated with cyberloafing; (2) mindfulness mediated this relationship between job reattachment and cyberloafing; and (3) goal commitment moderated the direct effect of job reattachment on mindfulness as well as the indirect effect of job reattachment on cyberloafing through mindfulness. Overall, our research findings emphasize the importance of the impact of job reattachment on cyberloafing through mindfulness. Theoretical and practical implications of this study are discussed.

Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little research investigating how biased attention, interpretation, and memory for health threats are collectively associated with health anxiety, as well as the relative importance of these cognitive processes in predicting health anxiety. This study aimed to build a prediction model for health anxiety with multiple cognitive biases as potential predictors and to identify the biased cognitive processes that best predict individual differences in health anxiety. A machine learning algorithm (elastic net) was performed to recognise the predictors of health anxiety, using various tasks of attention, interpretation, and memory measured across behavioural, self-reported, and computational modelling approaches. Participants were 196 university students with a range of health anxiety severity from mild to severe. The results showed that only the interpretation bias for illness and the attention bias towards symptoms significantly contributed to the prediction model of health anxiety, with both biases having positive weights and the former being the most important predictor. These findings underscore the central role of illness-related interpretation bias and suggest that combined cognitive bias modification may be a promising method for alleviating health anxiety.

Public health crises can significantly impact the emotional well-being of healthcare workers. Network analysis is a novel approach to exploring interactions between mental disorders at the symptom level. This study aimed to elucidate the characteristics of post-traumatic stress disorder (PTSD), anxiety, depression, and insomnia symptoms network among frontline nurses under sudden public health crisis. A cross-sectional survey was conducted online among 556 frontline nurses through convenience sampling in Hubei Province, China, from 21 February 2020, to 10 March 2020. Symptoms of PTSD, anxiety, depression, and insomnia were assessed by the Post-Traumatic Stress Disorder Checklist (PCL-5), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index, respectively. Central symptoms (the most important symptoms, activation has the strongest influence the other nodes) and bridge symptoms (nodes where deactivation can prevent activation from spreading from one disorder to another) were identified via centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. We found that the correlation between PHQ-9 item 9 'suicidal thoughts' and PCL-5 item 16 'reckless or self-destructive behaviour' was the strongest. Moreover, 'reckless or self-destructive behaviour' was the strongest central symptom, and PHQ-9 item 3 'sleep problems' was the most important bridge symptom. Other major symptoms included GAD-7 item 6 'uncontrollable anxiety' and PHQ-9 item 2 'depressed or sad mood'. Timely, systemic targeting interventions on central symptoms and bridge symptoms may effectively alleviate co-occurring experiences of psychopathological symptoms among frontline nurses.

Although trauma is closely linked with hyperarousal and cardiovascular health, little research has examined the effects of posttraumatic stress symptoms (PTSS) on cardiovascular reactivity to trauma reminders among sexual trauma survivors. One type of negative appraisal after trauma, self-blame, is common after sexual trauma, but its relation to cardiovascular reactivity is unknown. The present study aimed to examine the influence of both PTSS and self-blame on blood pressure and heart rate (HR) reactivity to a trauma reminder. Cardiovascular reactivity was measured before, during, and after a laboratory-based sexual trauma reminder among 72 young adult women who have experienced sexual trauma. Higher PTSS predicted lower diastolic blood pressure (DBP) reactivity during the trauma reminder. Higher levels of self-blame predicted higher HR and systolic blood pressure (SBP) reactivity during and after the trauma reminder. Overall, these findings suggest that survivors of sexual trauma with higher levels of PTSS experience a blunting reaction of DBP when exposed to trauma reminders, as opposed to a more typical cardiovascular stress reaction that may elevate and then extinguish to baseline levels. Meanwhile, individuals with higher levels of self-blame have heightened cardiovascular SBP and HR responses during trauma reminders that do not return to baseline levels, perhaps due to self-blame leading individuals to be more 'on guard' to prevent future threats. Longitudinal studies are needed to explore the potential long-term cardiovascular impacts of heightened self-blame and PTSS and their associated cardiovascular reactivity patterns.