Effects of a Short Daytime Nap on the Cognitive Performance: A Systematic Review and Meta-Analysis

Dutheil, Frédéric; Danini, Benjamin; Bagheri, Reza; Fantini, María Livia; Pereira, Bruno; Moustafa, Farès; Trousselard, Marion; Navel, Valentin

doi:10.3390/ijerph181910212

Cited by 32 publications

(13 citation statements)

References 81 publications

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“…Even if we did not demonstrate that women were more at risk than male HCWs, women might be more at risk of PTSD [ 1 , 2 ], caused by the additional strain imposed because of their social roles [ 42 ]. Some studies showed that young adults may be at higher risk of PTSD [ 57 ]. Lack of experience [ 34 , 38 ] may be compensated by organizing teamwork between the older and younger HCWs [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Post-Traumatic Stress Disorder (PTSD) in Healthcare Workers following the First SARS-CoV Epidemic of 2003: A Systematic Review and Meta-Analysis

Alberque

Laporte

Mondillon

et al. 2022

IJERPH

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The world is still in the grip of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, with putative psychological consequences for healthcare workers (HCWs). Exploring the prevalence of post-traumatic stress disorder (PTSD) during the first SARS-CoV-1 epidemic in 2003 may inform us of the long-term effects of the actual pandemic, as well as putative influencing factors such as contact with the virus, time effects, or the importance of some sociodemographic data. This information may help us develop efficient preventive strategies. Therefore, we conducted a systematic review and meta-analysis on the prevalence of PTSD in HCWs following the SARS-CoV-1 in 2003. PubMed, Embase, Google Scholar, Psychinfo, and Web of Science were searched until September 2022. Random-effects meta-analyses were stratified by the time of follow-up. We included 14 studies: 4842 HCWs (32.0 years old, 84% women). The overall prevalence of PTSD was 14% (95CI 10 to 17%). The prevalence of PTSD was 16% (8 to 24%) during the epidemic, 19% (16 to 22%) within 6 months after the epidemic, and 8% (4 to 13%) more than one year after the end of the epidemic. The longest follow-up was three years after the epidemic, with 10% of HCWs with PTSD. Nevertheless, the prevalence of PTSD was significantly lower more than one year after the end of the epidemic than the first six months after the epidemic (Coefficient −10.4, 95CI −17.6 to −3.2, p = 0.007). In conclusion, the prevalence of PTSD in HCWs was high during the first epidemic of SARS-CoV in 2003 and remained high in the long term. The lessons from the SARS-CoV-1 epidemic may help prevent a wave of PTSD following the latest COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Post-Traumatic Stress Disorder (PTSD) in Healthcare Workers following the First SARS-CoV Epidemic of 2003: A Systematic Review and Meta-Analysis

Alberque

Laporte

Mondillon

et al. 2022

IJERPH

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“…We found that the ESS did not reliably predict moderate-to-severe OSA, in agreement with Miller and Ghandeharioun et al ( 10 , 24 ). Maybe it was because that the ESS is totally subjective and influenced by many factors including daytime naps and blood pressure ( 25 , 26 ).…”

Section: Discussionmentioning

confidence: 99%

An effective model for screening moderate-to-severe obstructive sleep apnea based on the STOP-BANG questionnaire

Wang¹,

Xu²,

Jiang³

et al. 2022

J Thorac Dis

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Background: This study aimed to develop a more effective screening model for moderate-to-severe obstructive sleep apnea (OSA) based on the best tool among Epworth Sleepiness Scale (ESS), NoSAS score and STOP-BANG questionnaire (SBQ). Methods: This study screened 2,031 consecutive subjects referred with suspected OSA from 2012 to 2016, including the test cohort from 2012 to 2014 and the validation cohort from 2014 to 2016. Anthropometric measurements, polysomnographic data, ESS, NoSAS scores and SBQ scores were recorded. Receiver operating characteristic curve analyses were performed and the final predictive models were verified in a validation cohort.Results: A total of 1,840 adults were finally included. The performance of ESS, NoSAS score and SBQ in screening OSA was compared. The diagnostic accuracy of SBQ was superior to ESS and NoSAS. A predictive model based on SBQ yielded an area under the curve (AUC) of 0.931 (95% CI: 0.915-0.946), and the sensitivity and specificity were 84.47 (95% CI: 81.4-87.2) and 87.36 (95% CI: 83.9-90.3) respectively.In the validation cohort, the AUC was 0.955 (95% CI: 0.938-0.969), with a sensitivity and specificity of 86.79 (95% CI: 83.2-89.9) and 90.88 (95% CI: 87.2-93.8) respectively. In addition, the model performed moderately in screening mild OSA with the AUC being 0.771 (95% CI: 0.721-0.815). Conclusions:The SBQ was effective in screening moderate-to-severe OSA. And a SBQ -based predictive model afforded excellent diagnostic efficacy, which could be applied in clinical practice.

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“…Stress at work is a major public health concern. This is especially true among healthcare workers (HCWs) and even more concerning in the Emergency Departments (ED) due to shifting work, fatigue and lack of sleep [ 1 ], poor food intake [ 2 ], and life-threatening emergencies in the context of overcrowding and job demands [ 3 , 4 ]. Currently, the best scale to assess stress levels at work is the job-demand-control-support model (JDCS), a self-reported psychological questionnaire created and validated by Karasek in 1981 [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Job-Demand-Control-Support on Leptin and Ghrelin as Biomarkers of Stress in Emergency Healthcare Workers

et al. 2022

Self Cite

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Despite the available literature on the consequences of night shiftwork on stress and food intake, its impact on leptin and ghrelin has never been studied. We previously demonstrated that leptin and ghrelin were biomarkers related to stress, and acute stress-induced a decrease in leptin levels and an increase in ghrelin levels. We performed a prospective observational study to assess the influence of night work, nutrition, and stress on the levels of ghrelin and leptin among emergency healthcare workers (HCWs). We took salivary samples at the beginning of a day shift and/or at the end of a night shift. We also monitored stress using the job demand-control-support model of Karasek. We recorded 24-h food intake during the day shift and the consecutive night shift and during night work and the day before. We included 161 emergency HCWs. Emergency HCWs had a tendency for decreased levels of leptin following the night shift compared to before the dayshift (p = 0.067). Furthermore, the main factors explaining the decrease in leptin levels were an increase in job-demand (coefficient −54.1, 95 CI −99.0 to −0.92) and a decrease in job control (−24.9, −49.5 to −0.29). Despite no significant changes in ghrelin levels between shifts, social support was the main factor explaining the increase in ghrelin (6.12, 0.74 to 11.5). Food intake (kcal) also had a negative impact on leptin levels, in addition to age. Ghrelin levels also decreased with body mass index, while age had the opposite effect. In conclusion, we confirmed that ghrelin and leptin as biomarkers of stress were directly linked to the job demand-control-support model of Karasek, when the main cofounders were considered.

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Effects of a Short Daytime Nap on the Cognitive Performance: A Systematic Review and Meta-Analysis

Cited by 32 publications

References 81 publications

Prevalence of Post-Traumatic Stress Disorder (PTSD) in Healthcare Workers following the First SARS-CoV Epidemic of 2003: A Systematic Review and Meta-Analysis

Prevalence of Post-Traumatic Stress Disorder (PTSD) in Healthcare Workers following the First SARS-CoV Epidemic of 2003: A Systematic Review and Meta-Analysis

An effective model for screening moderate-to-severe obstructive sleep apnea based on the STOP-BANG questionnaire

The Impact of Job-Demand-Control-Support on Leptin and Ghrelin as Biomarkers of Stress in Emergency Healthcare Workers

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