Effects of social support on mental health for critical care nurses during the coronavirus disease 2019 (COVID‐19) pandemic in Japan: A web‐based cross‐sectional study

Tatsuno, Junko; Unoki, Takeshi; Sakuramoto, Hideaki; Hamamoto, Miya

doi:10.1002/ams2.645

Cited by 14 publications

(7 citation statements)

References 25 publications

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“…Next to possible (speculative) cultural explanations, the Japanese sample differs from the other countries in that it is much smaller than the others, participants were paid for partaking in the study, the sample’s age was more evenly distributed (similar to France), and it is the only country where there was no strict lockdown (as reflected in the mobility and stringency indices in Table 2 ). Of note, in line with our results, other studies conducted during the pandemic period in Japan showed more pronounced levels of depression than anxiety [ 39 , 40 ], with mean HADS values similar to the ones reported in the present study [ 41 ].…”

Section: Discussionsupporting

confidence: 93%

Time perspective predicts levels of anxiety and depression during the COVID-19 outbreak: A cross-cultural study

et al. 2022

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The COVID-19 outbreak and governmental measures to keep the population safe had a great impact on many aspects of society, including well-being. Using data from N = 1281 participants from six countries (Argentina, France, Greece, Italy, Japan, and Turkey), we first explored differences in anxiety, depression (measured with the Hospital Anxiety and Depression Scale; HADS), and time perspectives (Zimbardo Time Perspective Inventory; ZTPI), between these countries during the first weeks of the pandemic. We observed that Turkish participants reported the highest levels of anxiety, and Japanese and Greek the lowest. For depression symptoms, the Japanese scored highest and Italians lowest. Next, for each country, we investigated how well the relatively time-stable personality traits of time perspectives, chronotype (reduced Morningness-Eveningness Questionnaire; rMEQ), and Big Five personality traits (short Big Five Inventory; BFI) predicted the levels of anxiety and depression (HADS). The regression analyses showed that negative attitudes towards the past predicted the levels of both anxiety and depression in most of the countries we analyzed. Additionally, in many countries, a Past Positive orientation negatively predicted depression whereas the Present Fatalistic subscale predicted anxiety and depression. The chronotype did not contribute additionally to the models. The Big Five traits (and particularly neuroticism) showed substantial incremental explanatory power for anxiety in some countries but did not consistently predict anxiety levels. For depression, the additional variance accounted for by including the BFI as predictors was rather small. Importantly, the ZTPI subscales were retained as significant predictors in the model still when the BFI and rMEQ were considered as potential predictors. Our results yield evidence that the ZTPI time perspectives are valuable predictors for anxiety and depression levels during the first period of the pandemic.

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Section: Discussionsupporting

confidence: 93%

Time perspective predicts levels of anxiety and depression during the COVID-19 outbreak: A cross-cultural study

et al. 2022

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“…Social support is a multidimensional concept that involves various aspects of resources one perceived that come from various sources, such as family, friends, and co-workers ( 39 , 40 ). An ever-growing number of studies and reviews have consistently documented the important protective role of social support on mental health and well-being ( 41 – 43 ). People with a higher level of social support have a lower level of psychological distress such as stress, depression, and anxiety ( 41 – 43 ).…”

Section: Introductionmentioning

confidence: 99%

“…An ever-growing number of studies and reviews have consistently documented the important protective role of social support on mental health and well-being ( 41 – 43 ). People with a higher level of social support have a lower level of psychological distress such as stress, depression, and anxiety ( 41 – 43 ). Social support can promote mental health both directly as a main effect, and indirectly as a moderating variable that buffers the effects of stress ( 39 , 40 ).…”

Section: Introductionmentioning

confidence: 99%

Role Stress and Psychological Distress Among Chinese Nurses During the COVID-19 Pandemic: A Moderated Mediation Model of Social Support and Burnout

Xiao

Zhang

et al. 2022

Front. Psychiatry

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ObjectiveNurses are at high risk of psychological distress including stress, depression, and anxiety due to low personnel density and high work demand. Despite mounting evidence showing that role stress is a risk factor for nurses' psychological distress, the mediating and moderating mechanisms underlying this relationship are less known. This study tests the mediation effect of burnout in the association between role stress and psychological distress, and whether this mediation is moderated by social support.MethodsA sample of 623 Chinese nurses were recruited from all hepatological surgery departments in Hunan Province and filled out an online questionnaire to collect data on socio-demographics, role stress, burnout, psychological distress, and social support. Mediation and moderation analyses were carried out in SPSS macro-PROCESS.ResultsBurnout partially mediated the positive association between role stress and psychological distress. Social support moderated the indirect effect of role stress on psychological distress via burnout, with the effect being stronger for nurses with low social support than those with high social support.ConclusionsThese findings demonstrated how role stress contributed to nurses' psychological distress both directly and indirectly through burnout, and how this indirect effect was moderated by social support. The results provide important practical implications for future prevention and intervention programs to improve nurses' mental health from multiple aspects such as decreasing role stress and burnout while increasing social support.

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“…However, when individuals have adequate social support, they may feel more emotional support and encouragement, which may enhance their ability to cope with work difficulties, which may make them more willing to stay in their current job rather than choose to leave ( 66 ). However, during the outbreak, Tatsuno et al ( 67 ) conducted a cross-sectional survey of ICU nurses in Japan, and the findings showed no relationship between social support and PTSD. This varies from our findings, where social support was not associated with psychological distress in the early stages and later stages in Cook and Bickman ( 68 ).…”

Section: Discussionmentioning

confidence: 99%

Mediating effects of social support and presenteeism on turnover intention and post-traumatic stress disorder among Chinese nurses in the post-pandemic era: a cross-sectional study

Zhang,

Yang,

Zhang

et al. 2024

Front. Public Health

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BackgroundThe shift in national policies for epidemic prevention and control in the post-pandemic era is undoubtedly a challenge for health care professionals. Nurses, as an important part of the health care professional population, have an even greater impact on their mental health and occupational safety. This may expose nurses to post-traumatic stress disorder (PTSD) and presenteeism, and ultimately lead to their turnover.ObjectiveThis study aimed to investigate the relationship between turnover intention and post-traumatic stress disorder among Chinese nurses during post-pandemic era, and the mediating role of social support and presenteeism.MethodsIn this study, a multicentre cross-sectional survey was conducted in April 2023 among nursing staff in several tertiary general hospitals in northern China, with online data collection using the Turnover intention Scale (PTSD), the Impact of Events Scale (IES), the Social Support Scale (SSS), and the Stanford presenteeism Scale (STAS) and the relationship between variables was analyzed using hierarchical multivariate regression, and Structural Equation Modeling (SEM) was used to analyze the relationship between post-traumatic stress disorder and the Turnover intention from the pathway between.ResultsData were collected from 2,513 nurses who met the inclusion criteria, in which general information such as age, department, specific department, Professional title, history of alcohol consumption, form of employment, Years of working, and Average working hours per day were statistically significant with the difference in the turnover intention. The results of the study showed a 32% high turnover intention among nurses in the post-pandemic era, which was lower than the turnover intention during the pandemic. The results of hierarchical multiple regression analysis showed that post-traumatic stress disorder, social support, and presenteeism were significant predictors of turnover intention. The total effect of post-traumatic stress disorder on turnover intention to work was 0.472 [bias modified 95% confidence interval (0.415–0.483), p < 0.001]. Social support and attendance played a partially intermediate role in post-traumatic stress disorder and propensity to leave (an indirect effect of 26% of the total effect).ConclusionTurnover intention and post-traumatic stress disorder levels are high and social support plays an important role in the tendency to leave the job and post-traumatic stress disorder, healthcare institution can be achieved by strengthening social support for nurses in the post-epidemic era and preventing the occurrence of presenteeism.

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Effects of social support on mental health for critical care nurses during the coronavirus disease 2019 (COVID‐19) pandemic in Japan: A web‐based cross‐sectional study

Cited by 14 publications

References 25 publications

Time perspective predicts levels of anxiety and depression during the COVID-19 outbreak: A cross-cultural study

Time perspective predicts levels of anxiety and depression during the COVID-19 outbreak: A cross-cultural study

Role Stress and Psychological Distress Among Chinese Nurses During the COVID-19 Pandemic: A Moderated Mediation Model of Social Support and Burnout

Mediating effects of social support and presenteeism on turnover intention and post-traumatic stress disorder among Chinese nurses in the post-pandemic era: a cross-sectional study

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