Health-related quality of life and its correlates among individuals with stroke during the COVID-19 pandemic.

Strict safety procedures including lockdowns were adopted during the Corona virus (COVID-19) pandemic worldwide which might have influenced mental and physical health in affected communities. This study aimed to investigate the level of Health-related quality of life (HRQoL) and its correlates among individuals with stroke in Jordan during the COVID-19 pandemic. This was a cross-sectional study with a self-administered questionnaire, which included demographics, 12-item Short Form (SF-12) health survey, Depression Anxiety Stress Scale (DASS 21), and The Stroke Impact Scale 16 (SIS-16). Descriptive analyses were used to summarize study data. Factors significantly correlated with HRQoL were determined using Pearson correlation. A total of 97 individuals successfully completed the study with a mean age of 57.9 years (±57.9). The level of HRQoL (measured by SF-12) was significantly and negatively associated with mental health symptoms (depression, anxiety, and stress) and the stroke recovery subscale of the SIS-16. Furthermore, participants' HRQoL level was significantly and positively associated with participants' age, stroke chronicity, receiving rehabilitation, and amount of help asked from caregivers. Jordanians with stroke demonstrated a relatively low level of HRQoL and high levels of mental health symptoms during the COVID-19 pandemic. Healthcare administrators should carefully consider individuals with stroke HRQoL and its correlates while planning for future crises.

Quality of life and its health and occupational determinants among hospital-based nurses during the COVID-19 pandemic.

BACKGROUND: Nurses worldwide were exposed to increased levels of occupational stress during the COVID-19 pandemic which could have hindered their level of health-related quality of life (HRQoL). OBJECTIVES: This project investigated HRQoL level in nurses during the COVID-19 pandemic and its health and occupational predictors. METHODS: A cross-sectional design was adopted and targeted full-time nurses in Jordan. Study collected data included demographics, 12-item Short Form health survey (SF-12) to measure HRQoL, Nordic Musculoskeletal Questionnaire (NMQ), nurses' evaluation of work conditions during COVID-19, and Depression Anxiety Stress Scale (DASS21). Data was analyzed descriptively to summarize main outcome measures and using multiple linear regression model to identify factors significantly associated with HRQoL. RESULTS: In total 245 nurses successfully completed the survey, 39.6% were males with a mean age of 35±6 years. Participant SF-12 scores were 65.94±17.85 for physical component and 50.09±19.36 mental component. The statistical model significantly explained 53.2% of variance in HRQoL (r2 = 0.534, F = 57.849, p < 0.001). Better sleep quality self-evaluation was significantly associated with higher HRQoL levels, while increased levels of depression, musculoskeletal pain, and financial burden on family were significantly associated with worse HRQoL level. CONCLUSION: Jordanian nurses' HRQoL level was relatively low during COVID-19. Sleep quality, mental health status, musculoskeletal health status, and financial status were identified as factors possibly influenced HRQoL among nurses during the COVID-19 pandemic. Nurses' quality of life along with their mental and physical health should be considered by healthcare administrators in the remaining period of COVID-19 and in future similar emergencies.

Physicians' Health-Related Quality of Life and Its Associated Factors During COVID-19 Pandemic in Jordan: A Cross-Sectional Study.

Healthcare workers worldwide have been exposed to extraordinary stress during COVID-19 pandemic. This study aimed to investigate health-related quality of life (HRQoL) level and its health and occupational associated factors among Jordanian physicians during COVID-19 pandemic. A cross-sectional design using an online survey was adopted targeting physicians at different Jordanian hospitals. The study survey included demographics, HRQoL measured by 12-item Short Form health survey (SF-12) mental and physical components, physicians' evaluation of work conditions during COVID-19, Neck Disability Index (NDI), Depression Anxiety Stress Scale (DASS 21), and International Physical Activity Questionnaire (IPAQ). Descriptive analyses were conducted to summarize primary data. Factors associated with HRQoL were determined using a multiple variable regression analysis. In total, 326 physicians successfully completed the survey, 44.2% were males with mean age of 32.08 (±6.93). SF-12 mental component mean was 52.13 (±20.84) and physical component mean was 69.24 (±18.1). Physicians HRQoL level was significantly associated with levels of stress (ß = -0.23, 95% CI -1.05 to -0.27), depression (ß = -0.22, 95% CI -1.09 to -0.28), neck disability (ß = -0.30, 95% CI -1.08 to -0.57), health self-evaluation (ß = 0.14, 95% CI 1.66-7.87), sleep self-evaluation (ß = 0.09, 95% CI 0.16-3.58), and physical activity level (ß = 0.09, 95% CI 0.00-0.001). Jordanian physicians' level of HRQoL was relatively low during COVID-19. Healthcare facilities administrators should take into consideration factors associated with physicians' HRQoL level when planning for future healthcare emergencies.

Healthcare students' mental and physical well-being during the COVID-19 lockdown and distance learning.

BACKGROUND: The sudden shift into distance learning during the coronavirus (COVID-19) lockdown might have impacted university students' well-being. OBJECTIVE: This study aimed to investigate undergraduate healthcare university students' health-related quality of life (HRQoL) and its predictors during COVID-19. METHODS: A cross-sectional study used an online self-administered questionnaire. The study targeted undergraduate medical, dental, pharmacy, and nursing students at Jordanian universities. Data collected included demographics,12-item Short Form health survey (SF-12), students' evaluation of distance learning, Neck Disability Index (NDI), Depression Anxiety Stress Scale (DASS21), and the International Physical Activity Questionnaire (IPAQ). Descriptive analyses were conducted to summarize primary outcome measures data. Predictors of HRQoL were determined using a multiple variable regression analysis. RESULTS: In total, 485 university students successfully completed this study with a mean age of 20.6 (±2.0). Participants' HRQoL level measured by SF-12 mean scores were 66.5 (±20.2) for physical health component and 44.8 (±21.2) for mental health component. The regression model explained 65.5% of the variation (r2 = 0.655, F = 127.8, P < 0.001) in participants' HRQoL. Factors significantly associated with HRQoL included depression, neck disability index score, stress, health self-evaluation, average of satisfaction with distance learning, IPAQ score, and weekly studying hours. CONCLUSIONS: This study showed that healthcare students had a relatively low level of HRQoL during COVID-19 pandemic in Jordan. Academic and non-academic factors associated with HRQoL were identified and should be considered by healthcare educational institutions for better academic planning in future similar pandemics.

University professors' mental and physical well-being during the COVID-19 pandemic and distance teaching.

BACKGROUND: Strict strategies including lockdowns and working from home were adopted worldwide during the coronavirus (COVID-19) pandemic. University professors suddenly shifted to work from home adopting distance teaching. OBJECTIVES: This study aimed to investigate Health-Related Quality of Life (HRQoL) and its associated occupational and health factors during COVID-19 among university professors. METHODS: A cross-sectional design targeted university professors of all majors in Jordan. The study self-administered survey included demographics and lifestyle data, 12-item Short Form health survey (SF-12), Depression Anxiety Stress Scale (DASS 21), professor' evaluation of distance teaching, Neck Disability Index (NDI), and International Physical Activity Questionnaire (IPAQ). Descriptive analyses were conducted to demonstrate primary outcome measures data. Factors associated with HRQoL were determined using a multiple variable linear regression analysis. RESULTS: A total of 299 university professors successfully completed the study. Participants' SF-12 physical health component score was 74.08 (±18.5) and 65.74 (±21.4) for mental health component. Higher depression, stress, neck disability, and weight change were significantly associated with lower HRQoL level. While higher satisfaction with distance teaching, health self-evaluation, and work load change were significantly associated with higher HRQoL level. The regression model explained 66.7%of the variance in professors' HRQoL (r2 = 0.667, F = 82.83, P < 0.001). CONCLUSIONS: Jordanian university professors demonstrated good HRQoL and mental health levels during COVID-19 lockdown. Factors associated with professors' HRQoL should be considered by academic institutions in determining the best occupational setup of teaching activities in future pandemics.

Post-stroke fatigue level is significantly associated with mental health component of health-related quality of life: a cross-sectional study.

PURPOSE: Individuals post-stroke might have high levels of post-stroke fatigue (PSF) which might affect their quality of life. This study aimed to investigate the prevalence of post-stroke fatigue in Jordan and to comprehensively identify its possible associated factors. METHODS: A cross-sectional design was implemented through one-hour face-to-face assessment sessions. The modified fatigue impact scale, 12-item Short-Form Health Survey, Montreal Cognitive Assessment, Motor Assessment Log, Upper Extremity Fugl Meyer assessment, Nine Hole Peg Test, 10 Meter Walk Testing, active and passive goniometry, Hand-held dynamometry, and modified Ashworth scale were used as outcome measures. Prevalence of post-stroke fatigue and levels of quality of life were reported using descriptive analyses. Multiple variable linear regression analysis was used to identify PSF associated factors of post-stroke fatigue. P < 0.05 was considered significant for all statistical tests. RESULTS: 153 individuals with stroke participated in the study. A total of 117 participants (69.9%, 95% CI = 62.0-77.1%) were fatigued. Fatigue was significantly predicted by mental component of quality of life (ß -0.42 [95% CI -0.53--0.31]; p < 0.001), cognition (ß -0.69 [95% CI -1.08--0.29], p = 0.001), weekly sport hours (ß -0.94 [95% CI -1.73--0.14], p = 0.022), and shoulder abduction spasticity (ß -1.81 [95% CI -3.38--0.24], p = 0.024. The model explained 51% of the variation in the fatigue (F = 29.006, p < 0.001). CONCLUSION: Jordanian individuals with stroke have a high prevalence of fatigue. Mental related quality of life was significantly associated with PSF levels. Other factors significantly associated with PSF included cognition status, sport participation, and spasticity. Healthcare practitioners working in neurorehabilitation should take PSF and its significant correlates into consideration when treating individuals with stroke.

Post-stroke depression, anxiety, and stress symptoms and their associated factors: A cross-sectional study.

Individuals post-stroke are subject to increased levels of mental health symptoms. This is a cross-sectional study explored levels of depression, anxiety, and stress symptoms and identified their predictors among Jordanian individuals with stroke. Outcome measures included Depression Anxiety Stress Scale, Fugl-Meyer assessment, goniometry, hand-held dynamometry, nine-hole peg test, Ashworth scale, Motor Activity Log, ten-meter walk test, and 12-item Short-Form health survey (SF-12). Descriptive analyses were used to describe prevalence of mental health symptoms and multiple variable linear regression models were used to identify their predictors. A total of 153 individuals participated in the study. Proportions of participants with mental health symptoms were 74.5% for depression, 52.9% for anxiety, and 68% for stress. Significant predictors of post-stroke mental health symptoms were SF-12 Mental Composite Score and grip strength for depression, anxiety, and stress. Depression and stress symptoms were significantly associated with discontinuation of rehabilitation services. Furthermore, self-reports of fewer sleep hours was significantly associated with anxiety and stress. Finally, Gender and self-reported physical diseases other than stroke were significantly associated with depression symptoms. We conclude that high proportions of Jordanian individuals' post-stroke have suffered mental health symptoms. Future studies are required to design effective interventions to improve post-stroke mental health.