Educating Nurses in Sleep Screening, Brief Intervention, and Referral for Treatment.

BACKGROUND: Poor sleep is an unrecognized problem among cancer survivors that affects quality of life. However, screening for sleep disorders is not routine in cancer care. To fill this gap, a self-paced online training program was designed for RNs to screen patients for sleep disturbance and provide brief intervention or referral for treatment (Sleep-SBIRT). METHOD: A three-phase evaluation pilot study included the following steps: (a) develop an online training program with in situ simulation; (b) implement the program with RNs at a comprehensive cancer center; and (c) evaluate module and quiz completion rates and focus group thematic analysis. RESULTS: Of the 22 RNs participating, 17 completed online modules and in situ simulation. The RNs were satisfied (M = 4.74/5, SD = 0.42) and self-confident (M = 4.45/5, SD = 0.45) with the learning. Focus group themes were learning new knowledge, learning online effectively, applying learning to in situ simulation, and intending to implement. CONCLUSION: The RNs gained knowledge applying Sleep-SBIRT, but future larger studies are warranted. [J Contin Educ Nurs. 202x;5x(x):xx-xx.].

Sleep-wake state discrepancy among cancer survivors with insomnia symptoms.

PURPOSE: To evaluate the discrepancy and correlation between sleep-wake measures (i.e., time in bed (TIB), total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE%)) reported on sleep diary and measured by actigraphy among cancer survivors with insomnia symptoms; and examine the influences of sociodemographic and clinical variables on these measurement differences. METHODS: A heterogenous sample of cancer survivors with insomnia symptoms (n = 120; M age = 63.7 ± 10.1; female = 58.3%) was included. Seven consecutive days of sleep diary and actigraphic data were obtained along with information on demographic, sleep, and mental health symptoms. Bland-Altman plot, Pearson correlation coefficient, concordance correlation coefficient, and mixed linear model approach were used to conduct the analysis. RESULTS: Self-reported TIB, SOL, and WASO were longer than measured by actigraphy (TIB: 8.6 min. (95% CI, 3.7, 13.5; p < .001); SOL: 14.8 min. (95% CI, 9.4, 20.2; p < .0001); and WASO: 20.7 min. (95% CI, 9.4, 20.2; p < .0001), respectively); and self-reported TST and SE% were shorter than measured by actigraphy (TST: 6.8 min. (95% CI, -18.7, 5.13); and SE%: 0.7% (95%CI, -3.0, 2.0), respectively), but were not statistically significant. Sex, higher insomnia severity, and poor sleep quality were associated with discrepancy between several sleep-wake measures. CONCLUSION: Subjective and objective sleep-wake measures may present discrepant finding among cancer survivors with symptoms of insomnia. Future research is needed to validate appropriate sleep-wake assessment, and better understand factors that influence the discrepancy that exists between measures among this population. CLINICAL TRIAL REGISTRATION: Clinical trials identifier: NCT03810365. Date of registration: January 14, 2019.

Sleep health, its intraindividuality, and perceived stress in college students during the COVID-19 pandemic.

Objective: To describe the changes in sleep health domains and examine the associations between the repeated measures and intraindividual variability (IIV) of these domains and perceived stress. Participants: A diverse racial and ethnic group of first-year college students (N = 23, 78.3% female, aged 17-18) attending in-person classes during the COVID-19 pandemic. Methods: Sleep health domains were determined using 7-day wrist actigraph and daily sleep diaries, and perceived stress scale was completed at 1-month intervals across 3 months. Results: Sleep timing, regularity, and alertness during daytime demonstrated statistically significant changes between three timepoints. Greater stress was associated with more irregularity (B = 2.25 [.87-3.62], p < .001), more dissatisfaction in sleep (B = .04 [.02-.19], p < .01), alertness during daytime (B = .18 [.05-.31], p < .001), and greater IIV (ie, fluctuations) in sleep satisfaction (B = .083 [.02, .15], p < .01). Conclusion: These findings offer insights for future researchers to facilitate intervention development to promote mental and sleep health among college students.

A nurse-delivered intervention to reduce insomnia in cancer survivors: Study protocol for a randomized-controlled trial.

Insomnia has been frequently reported as one of the most burdensome symptoms among cancer survivors. To date, little research exists on strategies to effectively reduce insomnia in cancer survivors, especially in the application of cognitive behavioral therapy for insomnia (CBTI) at the bedside by nurses. The current objective is to determine efficacy and durability of a streamlined, individually delivered version of CBTI, specifically Brief Behavioral Therapy for Insomnia (BBTI) versus a healthy eating attention control, using a large heterogeneous sample of 158 cancer survivors. Study participants will be adults ≥18 years of age; ≥1 month from treatment (except hormones and targeted therapies are acceptable) for stages I through III breast, colorectal, lung or prostate cancers; meet criteria for insomnia defined by Insomnia Severity Index (ISI) >7; screen negative for obstructive sleep apnea <15 events/h; and ability to complete data collection instruments in English. Baseline, and then 1-, 3-, and 12-month objective (i.e., actigraphy) and subjective sleep, mood, and quality of life assessments after the interventions are planned. The primary outcome will be measured with the ISI, a psychometrically-sound instrument used to measure perceived insomnia severity. The results of this trial will demonstrate the application of BBTI in a larger heterogenous sample of cancer survivors for the first time and may lead to implementation strategies that will promote the dissemination and sustainability of this intervention. Clinical trials identifier: http://ClinicalTrials.gov, NCT03810365.

Patients' Perceptions at Diagnosis: Lung Cancer Discovery and Provider Relationships.

BACKGROUND: In the United States, most lung cancer cases are diagnosed at advanced stages, limiting treatment options and impacting survival. This study presents patients' perspectives on the complexity of factors influencing a lung cancer diagnosis. Lung cancer awareness regarding risks, symptoms, smoking behaviors, family history, and environmental factors can lead to preventative and early detection measures. OBJECTIVE: The aim of this study was to explore lung cancer patient perspectives on lung cancer awareness within the context of an earlier study to understand sleep-wake disturbances in adults with non-small cell lung cancer. METHODS: A content analysis was used to analyze the original deidentified longitudinal interview data collected from 26 patients diagnosed with lung cancer. RESULTS: Of the original 26 participants, 16 were included in this secondary data analysis. The participants were primarily females (n = 10) and Whites (n = 13), with ages ranging between 49 and 83 years. Half of the sample was diagnosed with stage IV lung cancer and most of the sample was on chemotherapy (n = 10). Two key themes were identified: the lung cancer discovery and the patient-physician relationship. CONCLUSIONS: Unspecific initial symptoms, lack of knowledge and screening, as well as fear of the diagnosis delayed seeking medical care. Patient-physician relationships were hindered by smoking-associated stigma, inadequate sharing of information, and lack of coordinated, holistic care. Positive communication strategies are critical between patients and providers to meet patients' specific needs. IMPLICATIONS FOR PRACTICE: Educational interventions that enhance lung cancer awareness may improve prevention and screening actions, improve timely healthcare intervention, and reduce incidence and mortality.

Brief Behavioral Treatment for Insomnia: A Meta-Analysis.

PURPOSE: The current study aims to quantify the effect of brief behavioral treatment for insomnia (BBTI) studies through meta-analysis. METHOD: Searches were performed from inception to February 2020, reporting on the effects of BBTI using randomized controlled trials (RCT) (adults aged 32 to 84). The main outcome measures were sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE%), and total sleep time (TST). RESULTS: BBTI showed improved SOL compared with control group in mean difference at early (-15.42 [95% CI: -33.05 to -12.01; I2 =49%]) and late follow-up (-10.52 [95% CI: -1.12 to 0.54; I2=93%]). This was statistically significant at early follow-up, but not at late follow-up. The improvement of WASO by BBTI over the control group was shown at early follow-up (-17.47 [95% CI: -2.67 to 0.45; I2=90%]), and was statistically significant. For WASO, a non-statistically significant improvement of BBTI over the control group was shown at late follow-up (-12.77 [95% CI: -22.47 to -3.08; I2=0%]). SE% was shown improved statistically significant by BBTI over control group at early (4.47 [95% CI: -0.35 to 9.29; I2=98%]) and at late follow-up (6.52 [95% CI: -4.00 to 17.05; I2=89%]). The TST was shown no improvement by BBTI at early follow-up in mean difference (-2.97 [95% CI -38.83 to 32.90; I2=96%]). At late follow-up, TST was shown improvement in BBTI with mean difference (14.52 [95% CI: -31.64 to 60.68; I2=94%]) compared with the control group. CONCLUSION: Current evidence suggests that BBTI can be considered preliminarily efficacious and can be used for samples of middle-aged and older adults.

Sleep and quality of life in lung cancer patients and survivors.

BACKGROUND: Lung cancer patients and survivors are vulnerable to disturbed sleep and impaired quality of life (QOL) across the continuum of illness. Few studies have sought to identify predictors of QOL using well-validated measures of both sleep quality and QOL in this population. PURPOSE: The purpose of this study was to examine factors associated with lung cancer that are predictive of QOL in adult lung cancer patients and survivors in the outpatient setting. METHOD: Cross-sectional data collected exclusively in the outpatient setting from three lung cancer clinics in the Northeastern United States were pooled and analyzed. The pooled sample (N = 103) data included cancer type and stage, body mass index, Pittsburgh Sleep Quality Index, and Functional Assessment of Cancer Treatment-Lung information. RESULTS: Significant correlations between sleep quality, lung cancer symptom severity, and QOL were observed. Sleep quality and lung cancer symptoms were found to be statistically significant predictors of QOL. No significant differences in QOL were found based on cancer type or recruitment source. Demographic factors and cancer stage were also not predictive of overall QOL. CONCLUSIONS: Lung cancer symptoms and sleep quality were important determinants of QOL in this pooled sample of lung cancer patients and survivors. IMPLICATIONS FOR PRACTICE: Patients and survivors of lung cancer require routine screening for sleep disturbance, lung cancer symptoms, and QOL needs. Nurse practitioners can help improve QOL in this population by screening for and treating sleep disturbance and lung cancer symptoms.

Nurse-Delivered Brief Behavioral Treatment for Insomnia in Lung Cancer Survivors: A Pilot RCT.

Objective/Background: Insomnia occurs in 50 to 80% of lung cancer survivors. Cognitive behavioral therapy is the standard treatment for insomnia (CBTI); however, treatment length and lack of psychologists trained in CBTI limits access. Brief Behavioral Treatment for Insomnia (BBTI), a nurse-delivered modified CBTI, is proposed. This feasibility pilot study sought to compare the BBTI intervention to attention control Healthy Eating Program (HEP) for insomnia in lung cancer survivors. Participants: The participants comprised adults, 21 years of age or older with insomnia and stage I/II non-small cell lung cancer, more than 6 weeks from surgery and living in Western NY. Methods: Participants (n = 40) were randomly assigned to an experimental (BBTI) or attention control condition (Healthy Eating Program). Thirty participants completed the study. Results: Participants were 66 years of age (± 7.6; range 53-82), 40% (n = 16) male, 87.5% (n = 35) Caucasian, 50% (n = 20) married, BMI 27.7 (± 5.8), and 12% (n = 5) never smokers. Baseline sleep diary sleep efficiency, ISI and other baseline covariates were balanced between the groups. Sleep efficiency improved ≥85% in BBTI group (p = .02), but not in HEP control group (p = 1.00). Mean ISI for BBTI and attention control were 6.40 ± 4.98 and 14.10 ± 4.48 (p = .001) respectively. In addition, BBTI group mean total FACT-L score improved by 6.66 points from baseline while HEP group score worsened (p = .049). Conclusions: BBTI is a practical, evidence-based, clinically relevant intervention that improved sleep and quality of life in lung cancer survivors with insomnia. Additional research to evaluate efficacy, duration, and implementation strategies are essential.

Trajectory of insomnia symptoms in older adults with lung cancer: using mixed methods.

CONTEXT: A knowledge gap exists in our understanding of the illness and insomnia symptom treatment trajectory in adults with inoperable non-small cell lung cancer (NSCLC). OBJECTIVES: Compare valid and reliable sleep-wake measures for insomnia to interpretations of narrative descriptions of sleep to improve our comprehension of sleep-wake disturbances in adults with NSCLC. METHODS: This study employed mixed methods (quantitative and qualitative) in a longitudinal design to study adults (n = 26) from ambulatory thoracic clinics. Valid and reliable surveys (Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale), 7-day sleep diary, and actigraphy were obtained with interview narrative interpretations of sleep experiences in the context of lung cancer. Data collection occurred at four-time points: baseline (before chemotherapy), pre-second chemotherapy, pre-third chemotherapy, and 6 months from baseline. Sleep measures were compared to interpretations from interview narratives to understand context of survey measures. RESULTS: Objective quantitative results were congruent with interview narrative interpretations that reflected participants' sleep-wake experiences. Objective sleep-wake measures for insomnia over-time described increasing sleep latency and decreasing sleep duration. The interview narratives provided context and insight into participants' subjective insomnia experiences. While participants' insomnia symptoms were present, they were resigned to endure insomnia, and the subjective measures reflected a more positive perception of sleep outcomes. CONCLUSION: A mixed methods approach provides a deeper understanding of sleep-wake disturbances and the differing quantitative objective and subjective results of sleep measures in the context of the participants' experience of the trajectory of insomnia symptoms before, during, and after lung cancer treatment.

Agenda for Sleep Research in Older Adults With Cancer: A Conference Report.

BACKGROUND: Sleep problems are common but often neglected in older adults, particularly in the context of cancer. Underlying mechanisms are poorly understood and interventions frequently lack a clear scientific basis. OBJECTIVE: The objective of this report was to examine scientific content presented at a National Institutes of Health-sponsored U13 "Bedside to Bench" conference using a qualitative and iterative review procedure. Analysis of current scientific issues regarding sleep in older adults with cancer is needed to direct nurse scientists and clinicians toward research opportunities. METHODS: A multistep review procedure for the analysis/synthesis of knowledge gaps and research opportunities was undertaken by oncology nurse scientists in attendance. RESULTS: Conceptual problems in this area include the lack of standard sleep terminology and absence of an overarching conceptual model. Methodological problems are inconsistent sleep/napping measurement and complex operational challenges in designing comprehensive yet feasible studies in older adults. Knowledge gaps in basic and clinical science relate to cellular and molecular mechanisms that underlie sleep and circadian rhythm disturbances, contribution of sleep to adverse outcomes, and impact of disturbed sleep during hospitalization and the transition from hospital to home. CONCLUSIONS: Focused and interdisciplinary research that advances conceptual and operational understanding of biological and behavioral determinants of sleep health in the aging cancer population can lead to more effective, safe, and targeted interventions for those with cancer-related sleep-circadian disturbances. IMPLICATIONS FOR PRACTICE: Research that addresses current conceptual, methodological, and physiological issues can lead to more effective, safe, and targeted care for older adults with cancer-related sleep-circadian disturbances.

A Quiet Firehouse: Reducing Environmental Stimuli Among Professional On-Duty Firefighters.

OBJECTIVE: Firehouse alarms are so loud that they cause a systemic response, similar to the flight-or-flight response. The purpose of the study was to reduce firehouse environmental stimuli to improve sleep quality and, thus, reduce cardiac burden. METHODS: The intervention included restricted unnecessary fire alarms, reduced light levels, and regulated temperature in the bunkroom. RESULTS: Among 24 firefighters, 11 completed the matched post-assessment. Six weeks after implementing the interventions, measures revealed the average lux level dropped from 0.75 to 0.19 lux, P < 0.05, and the presence of elevated blood pressure reduced from 86% to 15%, P < 0.05. CONCLUSION: Results support that reducing environmental stimuli in firehouses reduces blood pressure, which is much easier than targeting behavior change. RECOMMENDATIONS: On the basis of this pilot study, the practice of routinely activating unnecessary fire alarms in firehouse bunkrooms should be discouraged.

Impaired Sleep: A Multifaceted Geriatric Syndrome.

Impaired sleep increases in prevalence in older adults, with multiple possible causes that can interact with each other and can lead to poor health outcomes. This article describes normal changes in sleep with aging, sleep disorders that increase in prevalence in older adults, medications and sleep, and medical conditions and psychosocial conditions associated with impaired sleep. In addition, a brief assessment that nurses could use to assess for impaired sleep and nonpharmacologic interventions to improve sleep are discussed.

Experiences of Patients With Advanced Lung Cancer: Being Resigned to Sleep-Wake Disturbances While Maintaining Hope for Optimal Treatment Outcomes.

BACKGROUND: Sleep-wake disturbances are prevalent in patients with lung cancer yet are infrequently studied over time. This article reports on the qualitative results of a mixed-methods study of newly diagnosed patients' narratives over 6 months. OBJECTIVE: The objective of this study was to gain an understanding of the treatment and illness trajectory related to sleep-wake disturbances as well as the beliefs and practices of patients while seeking optimal treatment outcomes. METHODS: Longitudinal interview narratives of 26 patients' experiences with advanced lung cancer diagnosis (at baseline, pre-second and third treatment, and 6 months) were obtained from participants recruited from Veterans Administration Hospital Center and a Comprehensive Cancer Center in Northeast United States. Analysis of illness narratives used interpretive phenomenology based on Heideggarian hermeneutic traditions. RESULTS: At diagnosis, participants described poor sleep such as trouble falling asleep and frequent awakenings. Over time, as the treatment worsened their sleep symptoms, these participants still maintained hope for more time with treatment. This focus enabled them to tolerate the sleep-wake disturbances and treatment adverse effects. As the treatment effectiveness declined, their focus changed to spiritual meanings for the future and to keep living life with a purpose. CONCLUSIONS: By explicating lung cancer patients' experiences with sleep-wake disturbances, nurses will gain insight into potential interventions to improve sleep and support effective outcomes as well as open a dialogue about hope. IMPLICATIONS FOR PRACTICE: Findings offer insight for oncology nurses to provide opportunities for dialogue about treatment options and techniques to improve sleep, which will facilitate patients living their lives.

Sleeping with the enemy: sleep and quality of life in patients with lung cancer.

BACKGROUND: Patients with lung cancer have the poorest sleep quality compared with other patients with cancer and noncancer control subjects. However, few studies have examined sleep longitudinally. OBJECTIVE: The objective of this study was to characterize and correlate sleep quality, daytime sleepiness, sleep-wake actigraphy, and quality of life (QOL) before, during, and after chemotherapy for non-small cell lung cancer (NSCLC). METHODS: Using a prospective repeated-measures 1-group design, patients scheduled to receive chemotherapy for NSCLC were recruited. Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Functional Assessment of Cancer Treatment-Lung (FACT-L), and Motionlogger Actigraph were used for data collection. RESULTS: Poor nocturnal sleep and QOL were evident among 29 patients with NSCLC before treatment. The FACT-L subscale scores worsened and then improved significantly from baseline through 2 rounds of chemotherapy. Objective sleep duration and sleep efficiency were positively associated with FACT-L scores, whereas objective sleep latency and wake after sleep onset were negatively associated with FACT-L scores. Sleepy patients had significantly worse FACT-L scores than did nonsleepy patients. The FACT-L subscale items that demonstrated significant worsening and then improvement over time were shortness of breath, weight loss, coughing, and chest tightness. Lung cancer patients experience early and middle insomnia before and during treatment. CONCLUSION: Poor sleep quality is common in patients receiving treatment for NSCLC and is related to poorer QOL and respiratory symptoms. IMPLICATION FOR PRACTICE: Patients with NSCLC require routine screening for sleep disturbances. A positive screen for sleep disturbance warrants a thorough sleep assessment using practice guidelines and, if necessary, referral to a sleep specialist for diagnosis and treatment.

Sleep-wake disturbances in cancer patients: narrative review of literature focusing on improving quality of life outcomes.

PURPOSE: Evidence suggests a high prevalence of sleep-wake disturbances in patients with cancer, occurring at diagnosis, during treatment, and continuing to survivorship. Yet associations between sleep-wake disturbances and the impact on quality of life outcomes is less clear. The purpose of this narrative review of the literature is to evaluate sleep-wake disturbances in patients with cancer, to describe the influence of poor sleep on quality of life as an outcome, and to evaluate the evidence to recommend future interventions. FRAMEWORK AND METHODS: This review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. Four databases (CINAHL, MEDLINE, PsycINFO, and Embase) were searched using terms "cancer OR neoplasm", "sleep, sleep disturbance, sleep disorders or insomnia", and "quality of life"; the search included all years, English language, and peer-reviewed articles on research studies. Studies included measurements of sleep and quality of life in cancer patients at a minimum of two time points and demonstrated relationships between sleep and quality of life. Data were collected on date, patient demographics, cancer type and treatment, timeframe, design, measurement, variables, and results. RESULTS: This narrative review demonstrates that sleep-wake disturbance is a major problem/symptom in patients with cancer. Of the 18 studies included, measurement of sleep-related variables included objective and subjective measures; however, direct measurement of the associations between sleep and quality of life was not common. Cognitive behavioral therapy for insomnia and mind-body interventions demonstrated feasibility when implemented into cancer care settings. In addition, the majority of interventions exhibited moderate effectiveness in improving sleep-wake disturbance and quality of life outcomes. CONCLUSION: The studies predominantly reported that poor sleep negatively impacts quality of life. The intervention studies included nonpharmacologic interventions such as cognitive behavioral treatment and mind-body and exercise interventions with moderate-to-high levels of evidence for improvement in sleep measures and quality of life.

Sleep, mood, and quality of life in patients receiving treatment for lung cancer.

PURPOSE/OBJECTIVES: To distinguish relationships among subjective and objective characteristics of sleep, mood, and quality of life (QOL) in patients receiving treatment for lung cancer. DESIGN: Descriptive, correlational study. SETTING: Two ambulatory oncology clinics. SAMPLE: 35 patients with lung cancer. METHODS: The following instruments were used to measure the variables of interest: Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale, Functional Assessment of Cancer Treatment-Lung (FACT-L), a sleep diary, and a motionlogger actigraph. MAIN RESEARCH VARIABLES: Sleep, mood, and QOL. FINDINGS: Significant differences were found between sleep diary and actigraph measures of sleep efficiency (p = 0.002), sleep latency (p = 0.014), sleep duration (p < 0.001), and wake after sleep onset (p < 0.001). Poor sleepers (PSQI score greater than 5) were significantly different from good sleepers (PSQI score of 5 or lower) on sleep diary measures of sleep efficiency and sleep latency and the FACT-L lung cancer symptom subscale, but not on mood or actigraphy sleep measures. CONCLUSIONS: Although patients with lung cancer may report an overall acceptable sleep quality when assessed by a single question, those same patients may still have markedly increased sleep latencies or reduced total sleep time. The findings indicate the complexity of sleep disturbances in patients with lung cancer. Lung cancer symptoms had a stronger association with sleep than mood. Research using prospective methods will help to elucidate their clinical significance. IMPLICATIONS FOR NURSING: Patients receiving treatment for lung cancer are at an increased risk for sleep disturbances and would benefit from routine sleep assessment and management. In addition, assessment and management of common symptoms may improve sleep and, ultimately, QOL. KNOWLEDGE TRANSLATION: A high frequency of sleep disturbances in patients receiving treatment for lung cancer was evident, and poor sleepers had lower QOL. Sleep disturbances may be more related to lung cancer symptoms than anxiety or depression. Improving lung cancer symptoms such as dyspnea may improve sleep.

Implementing a dedicated education unit: a practice partnership with oncology nurses.

An urgent need exists to identify innovative and evidence-based educational methods to help oncology nurses provide safe and high-quality patient care. One promising solution is the dedicated education unit (DEU) educational model, which partners nursing faculty and skilled nursing clinicians to facilitate the clinical experience of undergraduate baccalaureate nursing students. This article describes the collaborative DEU initiative developed between a university school of nursing and a tertiary cancer center to provide senior nursing students with an innovative method to develop their competencies in oncology nursing practice and care.

Sleep problems, depression, substance use, social bonding, and quality of life in professional firefighters.

OBJECTIVE: Little attention has been given to factors contributing to firefighters' psychosomatic well-being. The purpose of this descriptive study was to examine such contributing factors in a sample of professional firefighters. METHODS: Measures assessing sleep, depression, substance use, social bonding, and quality of life were examined in 112 firefighters. RESULTS: Overall, many firefighters reported sleep deprivation (59%), binge drinking behavior (58%), poor mental well-being (21%), current nicotine use (20%), hazardous drinking behavior (14%), depression (11%), poor physical well-being (8%), caffeine overuse (5%), or poor social bonding (4%). CONCLUSIONS: Small-to-medium correlations were identified between sleep deprivation, depression, physical/mental well-being, and drinking behaviors. High-risk behaviors that impact psychosomatic well-being are prevalent in professional firefighters, which require environmental and individual-based health promotion interventions. The inter-correlation relationships between such behaviors, therefore, need to be explored in further details.