Work-Family Spillover, Job Demand, Job Control, and Workplace Social Support Affect the Mental Health of Home-Visit Nursing Staff

Ikeda, Satoshi; Eguchi, Hisashi; Hiro, Hisanori; Mafune, Kosuke; Koga, Kayoko; Nishimura, Kazumi; Nakashima, Mitsuyo

doi:10.7888/juoeh.43.51

Cited by 11 publications

(8 citation statements)

References 26 publications

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“…Furthermore, economic impacts are seen due to workplace absences, injury, and fatalities [ 25 ]. Furthermore, issues relating to perceived job control, high work demands, and limited support are reported in on-call workers [ 26 , 27 ], which may have detrimental effects on psychosocial outcomes [ 28 ]. Many guidance materials are currently available from workplaces and regulatory bodies to assist in managing the risks associated with on-call work.…”

Section: Introductionmentioning

confidence: 99%

Who is ‘on-call’ in Australia? A new classification approach for on-call employment in future population-level studies

et al. 2021

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Background On-call research and guidance materials typically focus on ‘traditional’ on-call work (e.g., emergency services, healthcare). However, given the increasing prevalence of non-standard employment arrangements (e.g., gig work and casualisation), it is likely that a proportion of individuals who describe themselves as being on-call are not included in current on-call literature. This study therefore aimed to describe the current sociodemographic and work characteristics of Australian on-call workers. Methods A survey of 2044 adults assessed sociodemographic and work arrangements. Of this population, 1057 individuals were workforce participants, who were asked to provide information regarding any on-call work they performed over the last three months, occupation type, weekly work hours, and the presence or absence of non-standard work conditions. Results Of respondents who were working, 45.5% reported working at least one day on-call in the previous month. There was a high prevalence of on-call work in younger respondents (63.1% of participants aged 18–24 years), and those who worked multiple jobs and more weekly work hours. Additionally, high prevalence rates of on-call work were reported by machinery operators, drivers, community and personal service workers, sales workers, and high-level managers. Conclusions These data suggest that on-call work is more prevalent than previously recorded and is likely to refer to a broad set of employment arrangements. Current classification systems may therefore be inadequate for population-level research. A taxonomy for the classification of on-call work is proposed, incorporating traditional on-call work, gig economy work, relief, or unscheduled work, and out of hours work.

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Section: Introductionmentioning

confidence: 99%

Who is ‘on-call’ in Australia? A new classification approach for on-call employment in future population-level studies

et al. 2021

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“…Finally, managers' sample size was smaller than the staff members'. This difference in sample sizes should be considered in the results' interpretation, although the smallest group's sample size (teleworking managers) was 451, which was larger than that of Ikeda et al's 31 previous study that demonstrated a significant association between workplace social support and psychological distress.…”

Section: Discussionmentioning

confidence: 74%

Psychological Distress, Japanese Teleworkers, and Supervisor Support During COVID-19

Kikunaga

Nakata²,

Kuwamura³

et al. 2022

J Occup Environ Med

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“…Supervisor and coworker support was assessed using the last 8 items of JCQ-22 [ 13 ]. In the current study, the Cronbach’s alpha was 0.94.…”

Section: Methodsmentioning

confidence: 99%

Burnout among Chinese live streamers: Prevalence and correlates

Chen,

Wang,

Yang

et al. 2024

PLoS ONE

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Background The prevalence of burnout among live streamers remains largely unknown. This study aims to investigate the prevalence and factors associated with burnout among Chinese live streamers. Methods A cross-sectional study recruited 343 full-time live streamers from 3 companies in Changsha city. Socio-demographic and occupational characteristics were collected using self-designed items. Job stress was assessed using the Job Content Questionnaire (JCQ-22), while supervisor and coworker support were evaluated using the last 8 items of the JCQ-22. Burnout was assessed using the 17-item Chinese version of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Results Our findings revealed that 30.6% of live streamers experienced burnout. Lower levels of education (OR = 2.65 and 3.37, p = 0,005 and 0.003), higher monthly income (OR = 10.56 and 11.25, both p = 0.003), being an entertainment-oriented streamer (OR = 2.13, p = 0.028), continuous walking during live streams (OR = 2.81, p = 0.006), significant drop in follower count (OR = 2.65, P = 0.006), live streaming during the daytime (OR = 3.75, p = 0.001), and higher support from supervisors and coworkers (OR = 3.66, p = 0.001) were positively associated with burnout. However, the effects of education and drop in followers on burnout were not significant in the multivariate logistic models (p = 0.321 and 0.988). Conclusions Burnout among Chinese live streamers is associated with income, being an entertainment streamer, engaging in continuous walking during live streams, conducting live streams during the daytime, and experiencing excessive support from supervisors and coworkers.

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Work-Family Spillover, Job Demand, Job Control, and Workplace Social Support Affect the Mental Health of Home-Visit Nursing Staff

Cited by 11 publications

References 26 publications

Who is ‘on-call’ in Australia? A new classification approach for on-call employment in future population-level studies

Who is ‘on-call’ in Australia? A new classification approach for on-call employment in future population-level studies

Psychological Distress, Japanese Teleworkers, and Supervisor Support During COVID-19

Burnout among Chinese live streamers: Prevalence and correlates

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