The role of demographic factors, mindfulness and perceived stress in resilience among nurses: A cross sectional study

Wu, Yuping; Ahorsu, Daniel Kwasi; Chen, Jung‐Sheng; Lee, Chiu‐Hsiang; Lin, Chung‐Ying; Griffiths, Mark D.

doi:10.1111/jonm.13715

Cited by 14 publications

(11 citation statements)

References 52 publications

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“…Since many healthcare providers know they might have psychological distress, potential strategies to prevent, address, and reduce burnout should be provided in the workplace (Sharifi et al, 2021 ). Prior studies also supported the importance of developing strategies to improve resilience which can help each individual to cope with perceived job stress and burnout (Rashnuodi et al, 2022 ; Wu et al, 2022 ).…”

Section: Discussionmentioning

confidence: 98%

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory–Human Services Survey for Medical Personnel

Wannarit,

Ratta-apha,

Pariwatcharakul

et al. 2023

Health Psychology and Behavioral Medicine

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Objectives: This study aimed (1) to determine the psychometric properties of a Thai version of the Maslach Burnout Inventory–Human Services Survey for Medical Personnel (MBI-HSS [MP]) and (2) to examine the mean scores of burnout and associated factors during the COVID-19 pandemic. Methods: Forward and back translations of the MBI-HSS (MP) questionnaire were performed. The Thai version was subsequently completed by 682 Thai physicians and nurses who worked during the COVID-19 pandemic. Exploratory factor analysis was performed on the first subsample ( n = 341) by conducting Kaiser Mayer-Olkin sampling adequacy measurement and Bartlett’s test of sphericity whereas confirmatory factor analysis (CFA) was performed on the second subsample ( n = 341) using fit indices of the normed chi-square (χ 2 /df), the comparative fit index, the Tucker–Lewis index, and the root mean square error of approximation. This version’s internal consistency was investigated using Cronbach’s alpha coefficient. Demographic profiles were evaluated with descriptive and analytical statistics. Results: The Thai version of the MBI-HSS (MP) displayed good psychometric characteristics, as the Cronbach’s alpha values of the 3 burnout factors ranged from 0.843 to 0.945. The CFA also showed good fit indices (χ 2 /df = 4.473; P < 0.001; RMSEA = 0.075 (95%CI = 0.055-0.079); CFI = 0.946; and TLI = 0.936). The physicians’ mean EE, DP, and PA scores were 25.28 ± 13.27, 7.15 ± 6.11, and 36.83 ± 8.13, respectively, whereas The nurses’ mean EE, DP, and PA scores were 23.10 ± 14.14, 4.43 ± 5.06, and 35.67 ± 10.24, respectively. Healthcare professionals who were younger, single, had fewer years of practice, and had more working hours per week tended to express more burnout scores. Conclusions: The Thai version of the MBI-HSS (MP) demonstrates good psychometric properties in assessing burnout among healthcare professionals. Several factors may be pivotal in intensifying burnout.

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Section: Discussionmentioning

confidence: 98%

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory–Human Services Survey for Medical Personnel

Wannarit,

Ratta-apha,

Pariwatcharakul

et al. 2023

Health Psychology and Behavioral Medicine

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“…37 Theoretical links have been made between mindfulness and resilience, 38 and dispositional mindfulness scores have been shown to be associated with higher resilience in healthcare professionals. 39,40 Strong coping skills have been associated with resilience in patients. 41 The current study mirrors these findings.…”

Section: Psychological Variables Associated With Resilience: Adaptive...mentioning

confidence: 99%

Further Examination of the Psychometric Properties of the Current Experiences Scale and Model of Resiliency

Groves

Luberto

Fricchione

et al. 2022

Glob Adv Health Med

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Background Stress-related disease is increasing, with high resilience proposed as protective. Whilst the Current Experiences Scale (CES) shows promise as a measure of resilience, its psychological correlates and relationship to psychological stress remain unclear. Objectives (1) Further explore the psychometric properties of the CES, (2) identify modifiable psychological factors associated with the CES and (3) test a previously published model for the influence of adaptive strategies and stress management factors on resiliency and stress. Methods N = 455 individuals (mean age = 47.8, 65.1% female) completed measures of adaptive strategies: mindfulness (Cognitive and Affective Mindfulness Scale-Revised), positive affect (Positive and Negative Affect Schedule) and gratitude (The Gratitude Questionnaire), stress management skills: coping (Measure of Current Status-A), depression (Patient Health Questionnaire-8) and anxiety (General Anxiety Disorder Assessment) and outcomes: resilience (CES) and stress (Perceived Stress Scale). Cronbach’s alpha and confirmatory factor analysis (CFA) examined the psychometric properties of the CES. Multivariable regression identified psychological variables associated with resilience. Structural equation modelling (SEM) tested the previously published model for resilience. Results The CES and its subscales showed good internal consistency (ɑ = .75-.93). The 23-item CES produced excellent results for model fit (Root Mean Square Error of Approximation (RMSEA) = .07, Standardized Root Mean Square Residual (SRMR) = .06, Comparative Fit Index (CFI) = .99; Tucker-Lewis Index (TLI) = .99). Higher gratitude (P < .0001), mindfulness (P < .0001), positive affect (P < .0001) and coping (P < .0001) were associated with higher resilience. Depression (P = .23) and anxiety (P = .34) were not. A model of resilience which included gratitude, mindfulness, positive affect and coping as determinants of resilience and perceived stress performed well (RMSEA = .03, SRMR = .02, CFI = .99; TLI = .99). Conclusions The CES was validated in a large sample. The association of gratitude, mindfulness, positive affect and coping with resilience may guide practitioners seeking to design resilience-enhancing programs.

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“…In a study of social workers, those with higher education were more satisfied with work, as higher education was followed by a higher degree of professional autonomy [15]. Postgraduate nurses experienced lower levels of occupational stress compared to their undergraduate counterparts [16]. The discrepancy between professional effort and the reality, which negatively verifies the employee's professional expectations, is considered to be one of the main risk factors for the development of burnout.…”

Section: Introductionmentioning

confidence: 99%

Can family resources and place of residence play a beneficial role in explaining burnout levels in working men?

Załuski,

Makara-Studzińska

2024

Ann Agric Environ Med.

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Introduction andObjective. The phenomenon of occupational burnout is a common factor affecting employees' health. In a study on occupational burnout it may happen that variables that are not among the main predictors of burnout can noticeably affect burnout and the main independent variables. The aim of this study was to verify hypotheses about the role of demographic variables in explaining levels of stress and burnout, based on the example of men working as firefighters and 112 emergency operators. Materials and Method. A total of 823 men employed as firefighters and 112 emergency number operators were surveyed. The study applied the LINK Occupational Burnout Questionnaire, the PSS-10 Perceived Stress Scale and a demographic questionnaire. It was followed by an analysis of covariance of qualitative variables and quantitative predictors (ANCOVA).Results. The study showed that living in rural areas was associated with lower levels of burnout among the men in the examined group. A similar relationship was detected for marital status, having children and secondary education. The other main variable, the level of perceived stress and age, showed typical associations with occupational burnout. Conclusions. The search for the causes of occupational burnout should not be narrowed only to stressors related to the demands of the workplace. Demographic variables are important elements of an employee's non-work environment and often a source of personal strengths. However, it should be remembered that the same factor can have both a protective function as well as a source of additional stress.

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The role of demographic factors, mindfulness and perceived stress in resilience among nurses: A cross sectional study

Cited by 14 publications

References 52 publications

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory–Human Services Survey for Medical Personnel

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory–Human Services Survey for Medical Personnel

Further Examination of the Psychometric Properties of the Current Experiences Scale and Model of Resiliency

Can family resources and place of residence play a beneficial role in explaining burnout levels in working men?

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