Stress and health : journal of the International Society for the Investigation of Stress最新文献

Stress is multidimensional, including exposure, subjective appraisals, perceived coping, rumination, and worry. Although research has shown each dimension can predict poor social, emotional, and subjective well-being, rarely have these dimensions of stress been compared as one is experiencing stress. This paper used ecological momentary assessment (EMA) to repeatedly measure stress dimensions and self-reported health to test whether each stress dimension has a unique relationship with well-being over time at the between-person and within-person levels. Participants (n = 165, 79.6% female) were Hispanic undergraduates, who completed EMAs twice a day for 14 consecutive days, resulting in 3,436 EMAs and 1,987 morning sleep observations. At each EMA, participants reported on the dimensions of stress, feelings of loneliness and belongingness (social well-being), levels of sadness, happiness, and anxiety (emotional well-being), and how healthy they felt (subjective well-being). Sleep quality and duration (subjective well-being) were assessed each morning. Multilevel models revealed few relationships at the between-person level. At the within-person level, appraisals, coping, rumination, and worry consistently predicted social, emotional, and subjective well-being. Lagged analyses suggested some relationships for appraisal, coping, and worry. Results suggest the importance of measuring stress in a multidimensional capacity and examining associations with well-being across multiple health facets.

High levels of stress at work may have serious consequences for employee functioning and mental health. By providing employees with an easily accessible instrument to regularly evaluate stressors and resources, employee self-monitoring and guidance to support can be accommodated. We evaluated an online self-monitoring tool Brief Assessment of Stress and Energy (BASE). Through their organization, 139 railway emergency services employees were invited to complete BASE and six wellbeing measures. We assessed BASE in two ways: using multiple regression analysis (N = 102, 73.4%), as well as by telephone follow-up interviews during which experts and respondents evaluated the BASE outcome (N = 67, 65.7%). Explained variances of BASE on the six wellbeing measures ranged between 26.6% and 49.9%. Telephone interviews confirmed the BASE outcome. The results indicate that BASE is associated with several measures of wellbeing and accurately refers respondents to counseling. This study shows that BASE is a promising instrument to encourage employees to self-monitor stressors and resources and identify those who need counseling.

This study examined the relationship between job loss and mental health during the pandemic among a nationally representative sample of middle- and low-income military veterans and civilians. Participants were recruited from Amazon Mechanical Turk in May-June 2020. Our sample was comparable to the U.S. population with respect to key demographics (i.e., sex, race, ethnicity, and geographic region). More veterans were male (36.9% civilians vs. 74.1% veterans), and on average they were older than civilians (M_civilians  = 47.86 vs. M_veterans  = 52.64). After controlling for sociodemographic factors, probable anxiety (adjusted odds ratio for veterans = 1.96, 95% [1.22-3.15]) was significantly associated with job loss among veterans, whereas among civilians, probable anxiety (adjusted odds ratio for civilians [AOR_c ] = 1.48, 95% [1.21-1.81]), probable COVID-19 era-related stress (AOR_c  = 1.73, 95% [1.45-2.07]), and loneliness (AOR_c  = 1.09, 95% [1.04-1.13]) were associated with job loss. Results demonstrated that veteran sample's effect sizes were larger than civilian sample's effect sizes; however, our moderation analyses results revealed that veteran status did not moderate the relationships between mental health and job loss. The findings in this study support a relationship between job loss and poorer mental health, suggesting that increased mental health services may be important to address ongoing effects of the COVID-19 pandemic.

Sudden deaths without known causes have been reported among rural workers in the last decade, especially in low and middle-income countries. The current study aimed to analyse the association between awakening cortisol response and cardiovascular performance in rural workers before and after the harvesting period. Fifty-four rural male workers and 48 residents were included (non-rural workers) from a sugarcane production area in São Paulo, Brazil. Morning salivary cortisol were analysed before and 7 months after the beginning of burnt sugarcane harvesting. Cardiovascular performance (blood pressure, pulse pressure and heart rate HR) was evaluated using the Incremental Shuttle Walking Test (ISWT). Our findings revealed a negative association between CAR and cardiovascular performance in rural workers at the harvesting period. Specifically, morning cortisol levels significantly increased after seven months of intense harvesting activity, allied to improvements in physical performance, systolic blood pressure and heart rate reactivity to a cardiopulmonary task. No association was observed in the resident group. Altogether, these findings suggest that, at least in the short-term, rural workers presented an adaptive response to the physical demands of sugarcane harvesting work. Longitudinal studies are essential to investigate the long-term effects of harvesting activity on rural workers' health.

Using smartphone for work in off-work hours has been associated with negative employee outcomes. We postulate that: (1) organizational norm of connectivity precedes employees' work-related smartphone use after work, which predicts emotional exhaustion among employees; and (2) this process is moderated by employees' workaholism. We collected data from 399 full-time employees who completed six online surveys over 3 workdays to test our hypotheses. Multilevel path analysis of these data revealed that organizational norm of connectivity was more strongly related to smartphone use after work among employees with high workaholism compared to those with low workaholism. However, smartphone use was more strongly related to emotional exhaustion among those with low workaholism compared to those with high workaholism. In total, the indirect effect of organizational norm of connectivity on emotional exhaustion through work-related smartphone use after work was significant only for those with low workaholism. These findings highlight the role of organizational norm of connectivity and individual workaholism in the association of work-related smartphone use after work and negative employee outcomes. We discussed the theoretical and practical implications of these findings.