307 Sleep and occupational wellbeing in active duty U.S Army Soldiers

Abstract Introduction Insufficient sleep is ubiquitous among active duty service members in operational settings. Although insufficient sleep has been linked to poor cognitive, psychological, and physiological outcomes in military populations, little research has investigated the impact of insufficient sleep on Soldier occupational wellbeing. This study examined the longitudinal association between sleep quality and occupational functioning in a population of active duty U.S. Army Soldiers. Methods Sixty male Soldiers (age 25.41±3.74 years) participated. Sleep quality and occupational outcomes were assessed four weeks apart (before and after an annual training mission). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Occupational outcome measures included the Emotional Exhaustion Scale, Walter Reed Functional Impairment Short Scale, Role Overload Scale, and Perceived Stress Scale. Linear regressions assessed the prediction of PSQI Global Score on occupational outcome scores. Student’s t-tests compared occupational outcomes between “good” and “poor” sleepers (PSQI Global Score > 5 = poor sleeper). Results Poorer sleep quality at baseline broadly predicted poor occupational outcomes post-training. Specifically, higher PSQI Global Scores predicted higher emotional exhaustion (B = 1.6, p < 0.001, R2 = 0.25), functional impairment (B = 0.29, p < 0.03, R2 = 0.14), role overload (B = 28, p < 0.008, R2 = 0.12), and perceived stress (B = 0.34, p < 0.004, R2 = 0.2). Furthermore, occupational outcome scores were significantly higher in poor sleepers than good sleepers: emotional exhaustion: (t(58) = -4.18, p < .001); functional impairment: (t(59) = -3.68, p = .001); role overload (t(58) = -3.20, p = .002); and perceived stress (t(58) = -2.43, p = .02). Conclusion This study identified a longitudinal relationship between sleep quality and occupational outcomes, suggesting that service members with poor sleep may be at risk for experiencing poor workplace wellbeing. Given the association between service member wellbeing and likelihood to re-enlist, insufficient sleep may negatively impact Soldier attrition. Future studies should aim to augment sleep quality and track occupational outcomes in this population. Support (if any) This work was funded by the Military Operational Medicine Research Program of the United States Army Medical Research and Development Command.

Download Full-text

Poor Subjective Sleep Quality Is Associated with Poor Occupational Outcomes in Elite Soldiers

Clocks & Sleep ◽

10.3390/clockssleep2020015 ◽

2020 ◽

Vol 2 (2) ◽

pp. 182-193

Author(s):

Janna Mantua ◽

Alexxa F. Bessey ◽

Walter J. Sowden

Keyword(s):

Sleep Quality ◽

Functional Impairment ◽

Sleep Loss ◽

Role Overload ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Subjective Sleep Quality ◽

Occupational Outcomes ◽

Subjective Sleep ◽

Work Session

We aimed to assess the relationship between subjective sleep quality and occupationally-relevant outcomes in military personnel. Participants were from an elite unit of US Army soldiers who worked extended (~30 h) shifts (with minimal recovery time between shifts) during 3-week work sessions. Questionnaires assessing subjective sleep quality during the month prior (Pittsburgh Sleep Quality Index [PSQI]) were administered at the beginning of the session. Occupational outcomes (emotional exhaustion, functional impairment, role overload, daytime sleepiness) were assessed on the final day of the session. Regression analyses were conducted to link sleep quality and occupational outcomes. The study sample participants had relatively poor sleep prior to the exercise (PSQI Global score average = 6.3 ± 3.1). Higher PSQI Global Scores prior to the work session longitudinally predicted daytime sleepiness (f2: 0.56) after the work session. PSQI component 7, which queries daytime dysfunction attributed to poor sleep quality, longitudinally predicted emotional exhaustion, functional impairment, and role overload (f2 range: 0.19–0.70). In conclusion, poor sleep quality—in aggregation with occupationally-mandated sleep loss—is predictive of poorer subsequent occupational outcomes. Future work should aim to increase sleep opportunities prior to occupationally-mandated sleep loss in order to build resilience when sleep loss is unavoidable.

Download Full-text

0212 The Indirect Effect of Sleep Quality on Emotional Exhaustion through Emotion Regulation Difficulties and Perceived Stress in a Sample of U.S. Medical Students

SLEEP ◽

10.1093/sleep/zsz067.211 ◽

2019 ◽

Vol 42 (Supplement_1) ◽

pp. A87-A87

Author(s):

Nicole L Jarrett ◽

Daniel E Yamane ◽

Daniel J Gildner ◽

Scott M Pickett

Keyword(s):

Emotion Regulation ◽

Medical Students ◽

Sleep Quality ◽

Perceived Stress ◽

Emotional Exhaustion ◽

Indirect Effect

Download Full-text

A brief intervention to reduce burnout and improve sleep quality in medical students

BMC Medical Education ◽

10.1186/s12909-020-02263-6 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Jennifer R. Brubaker ◽

Aili Swan ◽

Elizabeth A. Beverly

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Perceived Stress ◽

Emotional Exhaustion ◽

Smartphone Addiction ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Alarm Clock ◽

Cohen’S D ◽

Cohen's D

Abstract Background Perceived stress, burnout, and poor sleep quality are high among medical students. Interventions designed to target these issues are necessary to promote the health and well-being of medical students. The purpose of this study was twofold: 1) to assess the feasibility of implementing a sunrise alarm clock intervention with medical students and 2) to evaluate the impact of the intervention on perceived stress, burnout scores, and sleep quality. Methods We conducted a feasibility study to evaluate the efficacy of a two-week, sunrise alarm clock intervention in combination with electronic device removal at bedtime. We assessed first- and second-year medical students’ perceived stress, burnout scores, including Emotional Exhaustion, Depersonalization, and Low Sense of Personal Achievement, and sleep quality before and after the intervention. In addition, we measured smartphone addiction prior to the intervention. Results A total of 57 students consented to participate, of which 55 completed both the pre- and post-assessments (3.5% attrition). The mean age of the participants was 24.8 ± 1.9 years, 50.9% (n = 29) identified as women, and 68.4% (n = 39) identified as white. Pre-intervention, 42.1% (n = 24) of students met criteria for smartphone addiction and 77.2% (n = 44) met criteria for poor sleep quality. In addition, 22.8% (n = 13) of participants had high emotional exhaustion, 64.9% (n = 31) high depersonalization, and 42.1% (n = 24) low sense of personal accomplishment prior to the intervention. Following the two-week intervention, participants showed improvements in emotional exhaustion (p = 0.001, Cohen’s d = 0.353), depersonalization (p = 0.001, Cohen’s d = 0.411) low sense of personal accomplishment (p = 0.023, Cohen’s d = 0.275), perceived stress (p < .001, Cohen’s d = .334), and sleep quality (p < 0.001, Cohen’s d = 0.925). The number of participants who reported poor sleep quality decreased to 41.8% (n = 23), demonstrating a significant decline (p = 0.026). Participants also improved subjective sleep quality (p < 0.001, Cohen’s d = 1.033), sleep duration (p = 0.001, Cohen’s d = 0.431), sleep latency (p < 0.001, Cohen’s d = 0.433), and sleep efficiency (p = 0.021, Cohen’s d = 0.673). Conclusions These findings suggest that the two-week sunrise alarm clock protocol with electronic device removal was effective in improving sleep quality and reducing burnout scores, and perceived stress. However, additional research comparing this intervention to a proper control group is needed to draw meaningful conclusions about the effectiveness of this intervention.

Download Full-text

Development of a Functional Impairment Scale for Active Duty Service Members and Veterans

PsycEXTRA Dataset ◽

10.1037/e517292011-281 ◽

2009 ◽

Cited By ~ 2

Author(s):

Brian Marx ◽

Paula Schnurr ◽

Paola Rodriguez ◽

Darren Holowka ◽

Carole Lunney ◽

...

Keyword(s):

Functional Impairment ◽

Active Duty ◽

Service Members

Download Full-text

Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

BMC Public Health ◽

10.1186/s12889-021-11312-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Guanglin Si ◽

Yi Xu ◽

Mengying Li ◽

Yuting Zhang ◽

Shuzhen Peng ◽

...

Keyword(s):

Social Support ◽

Sleep Quality ◽

Perceived Stress ◽

Associated Factors ◽

Perceived Social Support ◽

Educational Background ◽

Physical Symptoms ◽

Poor Sleep ◽

Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

Download Full-text

The association of smartphone addiction, sleep quality and perceived stress amongst Jordanian dental students

European Journal Of Dental Education ◽

10.1111/eje.12674 ◽

2021 ◽

Author(s):

Sarliza Yasmin Sanusi ◽

Ola Barakat Al‐Batayneh ◽

Yousef Saleh Khader ◽

Norkhafizah Saddki

Keyword(s):

Sleep Quality ◽

Perceived Stress ◽

Dental Students ◽

Smartphone Addiction

Download Full-text

Catastrofização da cefaleia e associação com outras condições clínicas

Headache Medicine ◽

10.48208/headachemed.2018.8 ◽

2018 ◽

pp. 35

Author(s):

Erlene Roberta Ribeiro dos Santos

Keyword(s):

Sleep Quality ◽

Perceived Stress ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Beck Anxiety Inventory ◽

Headache Disorders ◽

Stress Scale ◽

Headache Disability ◽

Beta Version

A catastrofização é definida como um conjunto de pensamentos negativos com tendência ao exagero mental, mediante uma situação real ou antecipada de experiência dolorosa, associada à sensação de incapacidade para busca do alívio da dor. Objetivo: avaliar a catastrofização da cefaleia associada a condições clínicas como incapacidade funcional, depressão, ansiedade, estresse e qualidade do sono, em universitários. Material e Método: estudo observacional transversal com uma amostra de 340 universitários (179 mulheres), com idade de 25 ± 5 anos. Foi utilizado um formulário de cadastro para coletar informações pessoais e antropométricas. Os critérios da International Classification of Headache Disorders 3rd edition Beta version foram utilizados para classificar a cefaleia. A escala de pensamentos catastróficos sobre dor (EPCD) foi utilizada para rastrear a catastrofização. Para avaliar a incapacidade funcional gerada pela cefaleia foi utilizado o questionário Headache Disability Test – HIT-6. Sintomatologias de depressão e de ansiedade foram rastreadas pelo Beck Depression Inventory (BDI), e Beck Anxiety Inventory – BAI, respectivamente. O estresse percebido foi avaliado pela escala Perceived Stress Scale (PSS) e a qualidade do sono pelo questionário Pittsburgh Sleep Quality Index. A estatística descritiva foi aplicada para caracterização da amostra, analisadas as diferenças de médias por meio dos testes t de Student e χ2. Para a aplicação da estatística analítica foram utilizadas regressão linear simples e regressão linear logística multivariada generalizada. Resultados: 288/340 (84,7%) dos universitários referiram cefaleia; desses, 133/288 (46,1%) eram migranosos [96/133 (72,2%) mulheres e 37/133 (27,8%) homens; OR= 1,92] e 155/288 (53,9%) não migranosos. Dentre os migranosos, 44/133 (33,08) apresentaram catastrofização (OR 37.44). A regressão linear revelou um potencial maior de contribuição (β) das seguintes condições clínicas: estresse, qualidade do sono ruim e ansiedade para o grupo dos migranosos. A regressão logística multivariada também mostrou a catastrofização, fornecendo estimativa com maior impacto na mudança dos valores da probabilidade da ocorrência da migrânea, com acréscimo de 5,78 pontos percentuais, quando se mantém constante das outras variáveis preditoras. A regressão linear multivariada para a avaliação do impacto da cefaleia indica que a catastrofização é a variável que apresenta maior contribuição na incapacidade gerada pela dor de cabeça, com um valor de β de 5,564 e p<0,001, apresentando forte significância. Conclusão: a catastrofização na migrânea, associada a outras condições clínicas avaliadas neste estudo, como a depressão, ansiedade, estresse e qualidade do sono, exerce influência significativa para a incapacidade gerada pela dor.

Download Full-text