The Validity and Reliability of the Workplace Culture of Health Scale-Short Form.

OBJECTIVE: A positive workplace culture of health can have significant benefits for both employees and organizations. The objective of this study was to test the validity and reliability of the Workplace Culture of Health (COH) Scale-Short Form. METHODS: We conducted a confirmatory factor analysis on data collected from a sample of 12,907 employees across 14 organizations. We examined the construct validity of the 14-item short-form version of the Workplace COH scale and assessed its reliability using internal consistency measures. RESULTS: Our confirmatory factor analysis demonstrated that the Workplace COH Scale-Short Form had strong model fit, indicating good construct validity. In addition, we found that all constructs had strong internal consistency reliability. CONCLUSIONS: Findings suggest that the Workplace COH Scale-Short Form is a valid and reliable way to practically assess workplace culture of health from the employee perspective.

A Scoping Review of Workplace Culture of Health Measures.

OBJECTIVE: This study aimed to review existing measures of workplace culture of health and to examine the health and wellbeing outcomes associated with workplace culture of health. DATA SOURCES: PubMed/Medline, Web of Science, and PsycINFO databases searched through February 2022. STUDY INCLUSION AND EXCLUSION CRITERIA: Articles were included if they used a specific measure to assess culture of health in the workplace and were published in English. Articles were excluded if there was no quantitative measure of health culture. DATA EXTRACTION: Data from each article was extracted using a structured template which included study purpose, participants and setting, study design, intervention strategies (if applicable), culture of health measure, and results. DATA SYNTHESIS: We described culture of health measures used and summarized key findings from included articles. RESULTS: The search yielded 31 articles measuring workplace culture of health (three validation, two intervention, and 26 observational studies). Nineteen unique measures were used across all articles. Most studies examined culture of health from the employee perspective (n = 23), while others examined it at the organizational level (n = 7). The studies indicated a positive relationship between health and well-being outcomes and a strong workplace health culture. CONCLUSION: There are many different approaches to measuring workplace health culture. Overall, workplace culture of health is related to positive employee and organizational health and wellbeing outcomes.

Association of Workplace Culture of Health and Employee Emotional Wellbeing.

The study aimed to examine associations between workplace culture of health and employee work engagement, stress, and depression. Employees (n = 6235) across 16 companies voluntarily completed the Workplace Culture of Health (COH) Scale and provided data including stress, depression, and biometrics through health risk assessments and screening. We used linear regression analysis with COH scores as the independent variable to predict work engagement, stress, and depression. We included age, gender, job class, organization, and biometrics as covariates in the models. The models showed that total COH scores were a significant predictor of employee work engagement (b = 0.75, p < 0.001), stress (b = -0.08, p < 0.001), and depression (b = 0.08, p < 0.001). Job class was also a significant predictor of work engagement (b = 2.18, p < 0.001), stress (b = 0.95, p < 0.001), and depression (b = 1.03, p = 0.02). Gender was a predictor of stress (b = -0.32, p < 0.001). Overall, findings indicate a strong workplace culture of health is associated with higher work engagement and lower employee stress and depression independent of individual health status. Measuring cultural wellbeing supportiveness can help inform implementation plans for companies to improve the emotional wellbeing of their employees.

Unpacking the Associations Between Perceived Cultural Support and Employee Health: The Approach of Social Capital.

OBJECTIVE: The aim of this study was to examine the associations between workplace culture supporting health and self-rated health through social capital and stress. METHODS: Structural equation modeling analysis was performed on data from employees of an insurance organization (N = 725). RESULTS: Significant associations were found among participation of sports events, social capital, workplace culture of health, occupational perceived stress, and self-rated health (P < 0.001). The relationship between stress and self-rated health was stronger for employees at lower hierarchical levels than the ones at higher hierarchical levels (P < 0.001). CONCLUSIONS: Findings show that social capital and stress are mediators in the association between perceived cultural support and self-rated health. Strong support for health in the culture is associated with positive self-rated health. Well-being strategies focusing on social capital and encouraging healthy behaviors are likely to have increased effectiveness.

The Impact of Specialized Telephonic Guides on Employee Engagement in Corporate Well-Being Programs.

Employer-sponsored well-being programs have been growing in popularity as a means to control rising health care costs and increase workplace productivity. Engagement by employees is necessary for these programs to achieve their desired effects. Extrinsic motivators in the form of incentives and surcharges are commonly introduced by employer program sponsors to promote meaningful engagement. Although these may be successful in achieving a degree of engagement, individuals benefit by being intrinsically motivated as they modify behaviors and improve short- and long-term well-being. Telephonic guides equipped with motivational interviewing and other behavioral strategies to improve engagement may bridge the gap between extrinsic and intrinsic motivation. The objectives of this study are to determine characteristics associated with employee utilization of these guides when offered and to compare subsequent program engagement rates between utilizers to a propensity score matched group of employees who were not offered the service. The data were retrieved from a well-being program provider's database. The study examined 166,258 employees across 35 employers. It found utilizers were older, proportionally more female, in the manufacturing industry, incented to use the guide service, offered a larger incentive for program participation, had healthier self-reported behaviors, and had a higher perception of their employer's focus on well-being. The study found that guide utilizers were significantly more likely to engage in telephonic coaching, digital coaching, and activity tracking up to 6 months. The study's findings suggest telephonic guides using a range of behavioral techniques are an effective strategy to drive well-being program engagement.

Outcome-based and Participation-based Wellness Incentives: Impacts on Program Participation and Achievement of Health Improvement Targets.

OBJECTIVE: This study examined whether worksite wellness program participation or achievement of health improvement targets differed according to four incentive types (participation-based, hybrid, outcome-based, and no incentive). METHODS: The study included individuals who completed biometric health screenings in both 2013 and 2014 and had elevated metrics in 2013 (baseline year). Multivariate logistic regression modeling tested for differences in odds of participation and achievement of health improvement targets between incentive groups; controlling for demographics, employer characteristics, incentive amounts, and other factors. RESULTS: No statistically significant differences between incentive groups occurred for odds of participation or achievement of health improvement target related to body mass index, blood pressure, or nonhigh-density lipoprotein cholesterol. CONCLUSIONS: Given the null findings of this study, employers cannot assume that outcome-based incentives will result in either increased program participation or greater achievement of health improvement targets than participation-based incentives.

Does Worksite Culture of Health (CoH) Matter to Employees? Empirical Evidence Using Job-Related Metrics.

OBJECTIVES: This study examines the relationships between the workplace culture of health (CoH), job satisfaction, and turnover intention. We also examined the moderating effect of job classification. METHODS: Structural equation modeling analysis was performed on data from employees of a Korean life insurance company (N = 880). RESULTS: Workplace CoH directly influenced job satisfaction (ß = 0.32; P < 0.001) and was indirectly associated with intention to leave. Job satisfaction was directly associated with intention to leave (ß = -0.42; P < 0.001). The relationship between job satisfaction and intention to leave was stronger for managerial employees than for non-managerial employees. CONCLUSIONS: This study showed that a workplace CoH is related to job satisfaction and intention to leave. Supporting health at the workplace has implications beyond health that benefit both employees and the organization.

Development and validity of a scale to measure workplace culture of health.

OBJECTIVE: To describe the development of and test the validity and reliability of the Workplace Culture of Health (COH) scale. METHODS: Exploratory factor analysis and confirmatory factor analysis were performed on data from a health care organization (N = 627). To verify the factor structure, confirmatory factor analysis was performed on a second data set from a medical equipment manufacturer (N = 226). RESULTS: The COH scale included a structure of five orthogonal factors: senior leadership and polices, programs and rewards, quality assurance, supervisor support, and coworker support. With regard to construct validity (convergent and discriminant) and reliability, two different US companies showed the same factorial structure, satisfactory fit statistics, and suitable internal and external consistency. CONCLUSIONS: The COH scale represents a reliable and valid scale to assess the workplace environment and culture for supporting health.

Perceptions of a Culture of Health: Implications for Communications and Programming.

PURPOSE: This study aims to illustrate the potential utility of open-ended survey data, regarding faculty and staff perceptions of a culture of health (CoH), for targeting communications and programming. Overall, these types of data show how they may be used to assist in implementing, improving, and sustaining a CoH in an organization. Design/method/approach. An anonymous online questionnaire was sent to 10,000 employees. The analysis of open-ended responses was performed using the grounded theory approach. Emerging themes were organized into two major categories: favorable perceptions and unfavorable perceptions regarding the university's CoH. FINDINGS: These findings suggest that employees have specific favorable and unfavorable perceptions regarding their university's CoH. Two main favorable perceptions that both faculty and staff commented on were (1) leaders/supervisors showing interest in health and well-being and (2) colleagues participating in healthful behaviors and setting good examples. Examples of unfavorable perceptions include stress not adequately addressed and healthy food options not readily available. Research limitations. The generalizability of the findings may be somewhat challenging given that the analyses are limited to individuals from a large Midwestern university. Also, given that this survey was voluntary, participants in the survey may possess unique characteristics that may have played a role in their likelihood to participate. ORIGINALITY/VALUE: There are few studies that address assessing a CoH in a university setting. This study provides examples of (1) topics to consider when evaluating an organization's CoH and (2) actionable intervention and communication strategies that account for the employee's perceptions. Others might use such examples when evaluating or preparing to assess their own organization's CoH.

Predictors of behavior change intention using health risk appraisal data.

OBJECTIVES: To investigate predictors of behavior change intention and discuss potential implications for practitioners. METHODS: Health risk appraisal (HRA) data from 2 organizations were used to develop and confirm a path analysis model for predictors of intention to change behavior. RESULTS: Lower self-rated health perception and higher ratings of stress corresponded to higher behavior-change intention scores. Stress was associated with poorer health perception. CONCLUSIONS: Higher stress and lower perception of health status were directly associated with intention to change behavior. Incorporating stress management and awareness of health perception into health promotion strategies could enhance wellness programs by aligning programs with motivating factors.

Examining individual factors according to health risk appraisal data as determinants of absenteeism among US utility employees.

OBJECTIVES: To investigate predictors of absenteeism and discuss potential implications for policy/program design. METHODS: Health Risk Appraisal (HRA) data and self-reported and objective absenteeism (personnel records) were used to develop a structural equation model, controlling for age, sex, and job classification. A Medical Condition Burden Index (MCBI) was created by summing the number of self-reported medical conditions. RESULTS: Higher MCBI and stress were direct predictors of absenteeism. Physical activity was not associated with absenteeism but mediated both stress and MCBI. CONCLUSIONS: Because stress impacted both absenteeism and MCBI, organizations may benefit by placing stress management as a priority for wellness program and policy focus. Physical activity was not directly associated with absenteeism but was a mediating variable for stress and MCBI. Measures of stress and physical health may be more meaningful as outcome measures for physical activity programs than absenteeism.

Sleep staging and respiratory events in refractory epilepsy patients: Is there a first night effect?

PURPOSE: We performed this analysis of possible first night effects (FNEs) on sleep and respiratory parameters in order to evaluate the need for two serial night polysomnograms (PSGs) to diagnose obstructive sleep apnea (OSA) in epilepsy patients. METHODS: As part of a pilot multicenter clinical trial investigating the effects of treating sleep apnea in epilepsy, two nights of PSG recording were performed for 40 patients with refractory epilepsy and OSA symptoms. Sleep architecture was examined in detail, along with respiratory parameters including apnea/hypopnea index (AHI) and minimum oxygen saturation. Analysis included two-tailed t-tests, Wilcox sign rank analysis, and Bland Altman measures of agreement. RESULTS: Total sleep time differed between the two nights (night 1,363.8 min + 59.4 vs. 386.3 min + 68.6, p = 0.05). Rapid eye movement (REM) sleep and percentage of REM sleep were increased during night two (night 1: 12.3% + 5.9 vs. night 2: 15.5% + 6.2, p = 0.007), and the total minutes of slow-wave sleep (SWS) were increased (night 1: 35.6 + 60.7 vs. night 2: 46.4 + 68.1, p = 0.01). No other sleep or respiratory variables differed between the two nights. Given an AHI inclusion criterion of five apneas per hour, the first PSG identified all but one patient with OSA. DISCUSSION: Respiratory parameters showed little variability between the first and second nights. Sleep architecture was mildly different between the first and second PSG night. Performing two consecutive baseline PSGs to diagnose OSA may not be routinely necessary in this population.

Characterizing sleep in children with autism spectrum disorders: a multidimensional approach.

STUDY OBJECTIVES: To relate parentally reported sleep concerns in autism spectrum disorders (ASD) to polysomnographic (PSG) findings and measures of daytime behavior and autism symptomatology. DESIGN: Cross-sectional study involving validated questionnaires, sleep histories and diaries, 2 nights of PSG, and the Autism Diagnostic Observation Schedule (ADOS). SETTING: Vanderbilt University General Clinical Research Center Sleep Core. PARTICIPANTS: 21 children with ASD and 10 typically developing (TD) children, aged 4-10 years. Children were free of psychotropic medications, with no history of mental retardation or epileptic seizures. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Children with ASD were defined as "good sleepers" (10 children) and "poor sleepers" (11 children) on the basis of parental report; the age-comparable TD children were all reported by their parents to be good sleepers. Poor sleepers with ASD showed prolonged sleep latency and decreased sleep efficiency on night 1 of PSG and differed on insomnia-related subscales of the Children's Sleep Habits Questionnaire (CSHQ; increased sleep onset delay and decreased sleep duration). The good sleepers with ASD did not differ from the TD children in sleep architecture or on CSHQ domains. As compared with ASD good sleepers, the ASD poor sleepers also had higher scores related to affective problems on the Child Behavior Checklist and more problems with reciprocal social interaction on the ADOS. CONCLUSIONS: Parentally reported sleep concerns of insomnia in children with ASD are substantiated by validated sleep questionnaires and by PSG. Furthermore, good sleepers with ASD showed fewer affective problems and better social interactions than ASD poor sleepers.

Analysis of the first night effect and sleep parameters in medically refractory epilepsy patients.

OBJECTIVES: To assess the first night effect (FNE) and compare sleep stage proportions to normative values in a sample of medically refractory epilepsy patients. PATIENTS AND METHODS: Sleep parameters of 53 epilepsy patients, ages (18-56, mean: 34+/-12, 25 females 28 men), who underwent two consecutive nights of polysomnography (PSG) were compared. Non-rapid eye movement (NREM) stage 3 and NREM stage 4 were combined as slow wave sleep (SWS). Sleep efficiency, sleep latency, rapid eye movement (REM) latency, number of stage shifts, total minutes and proportion of total sleep time for stage 1, stage 2, SWS, and REM sleep were compared between the 2 nights. RESULTS: SWS was the only parameter that differed between nights 1 and 2 for both total minutes (P=0.02) and proportion of total sleep time (P=0.01), although the means for both nights were within the normative range. Comparing sleep proportions to normative values indicates that our patients had increased NREM stage 1 and decreased REM sleep. CONCLUSIONS: We observed a minimal FNE in this sample of epilepsy patients manifested by reduced SWS. Multiple PSGs to accommodate the FNE may not be necessary in this population.

Identification and treatment of obstructive sleep apnea in adults and children with epilepsy: a prospective pilot study.

OBJECTIVE: To determine the effect of treating obstructive sleep apnea (OSA) on seizure frequency in adults and children with epilepsy in a prospective study. Several case series documented an improvement in seizure control with treatment of coexisting OSA, but published series did not sample a clinic population, were not prospective in design, and did not account for concurrent changes in antiepileptic drug (AED) doses or levels. PATIENTS AND METHODS: Adult patients and the parents of pediatric patients seen in the University of Michigan Epilepsy and Pediatric Neurology Clinics were given validated questionnaires. Thirteen adults (aged 20-56) and 5 children (aged 14-17) were selected for polysomnography (PSG) based on frequency of seizures and risk for OSA. Seizure frequency was compared during 8-week baseline and treatment phases and AED levels were done to document stability in medication levels. RESULTS: Six of 13 adults and 3 of 5 children met PSG criteria for OSA. Three adults and 1 child were treated with continuous positive airway pressure (CPAP), were tolerant of the device, and had no change in AED doses; all four had at least a 45% reduction in seizure frequency during CPAP treatment. One adult was treated with an oral appliance with a reduction in nocturnal seizures only, and 2 adults and 2 children were intolerant of CPAP. CONCLUSIONS: Treatment of OSA in patients with epilepsy may improve seizure control and a large randomized placebo-controlled trial appear warranted.

Obstructive sleep apnea in epilepsy patients: the Sleep Apnea scale of the Sleep Disorders Questionnaire (SA-SDQ) is a useful screening instrument for obstructive sleep apnea in a disease-specific population.

OBJECTIVE: To determine useful cutoffs on the Sleep Apnea scale of the Sleep Disorders Questionnaire (SA-SDQ) in an epilepsy population. BACKGROUND: Epilepsy and obstructive sleep apnea (OSA) frequently coexist, and treating OSA in epilepsy patients may reduce seizure frequency and improve daytime sleepiness. The SA-SDQ, a 12-item validated measure of sleep-related breathing disorders, may be a useful tool to screen epilepsy patients for OSA, although appropriate cutoff points have not been established in this population. Previously suggested SA-SDQ cutoff points for OSA in a non-epilepsy population were 32 for women and 36 for men. PATIENTS AND METHODS: One hundred twenty-five subjects with epilepsy undergoing polysomnography completed a survey about their sleep, including the 12-item SA-SDQ scale. Receiver-operating characteristics curves were constructed to determine optimal sensitivity and specificity. RESULTS: Sixty-nine of the 125 subjects (45%) had apnea-hypopnea indices greater than five, indicating OSA. The area under the curve was 0.744 for men and 0.788 for women. For men, an SA-SDQ score of 29 provided a sensitivity of 75% and a specificity of 65%. For women, an SA-SDQ score of 26 provided a sensitivity of 80% and a specificity of 67%. CONCLUSIONS: The SA-SDQ is a useful screening instrument for OSA in an epilepsy population. Our results indicate that the previously suggested cutoffs for OSA (36 for men and 32 for women) may be too high for this specific population. We suggest screening cutoffs of 29 for men and 26 for women.

Approaches to staging sleep in polysomnographic studies with epileptic activity.

BACKGROUND: The Standardized Sleep Manual of Rechtschaffen and Kales is well established and reliable in scoring the majority of polysomnograms (PSGs) encountered in clinical practice. In patients with epilepsy, however, abnormal brain activity may confound the interpretation of sleep waveforms. Our goal is to identify features that are problematic in analyzing sleep stages in patients with epilepsy and to offer approaches to score these PSGs. METHODS: Ninety eight PSGs from 43 patients with epilepsy were scored using Rechtschaffen and Kales guidelines. Features interfering with sleep staging were noted. RESULTS: In scoring polysomnograms (PSGs) of patients with epilepsy we noted epileptic seizures, interictal epileptiform discharges (IEDs) and abnormal EEG background to be features of epilepsy that compromised sleep scoring. Overall, 48% of the studies in our sample contained one or more of these epileptic features to the extent that sleep scoring by standard criteria was compromised. Approaches for staging sleep in the setting of these abnormalities are outlined. CONCLUSIONS: The Rechtschaffen and Kales method of sleep scoring is useful in staging the majority of PSGs of patients with epilepsy. However, we advocate some modifications because the abnormal electrical activity of epilepsy may interfere with accurate scoring of sleep waveforms. These approaches to scoring PSGs of patients with epilepsy will require empirical testing.

Effects of vagus nerve stimulation on sleep-related breathing in epilepsy patients.

PURPOSE: To describe the effects of vagus nerve stimulation (VNS) on sleep-related breathing in a sample of 16 epilepsy patients. METHODS: Sixteen adults with medically refractory epilepsy (nine men, seven women, ages 21-58 years) underwent baseline polysomnograms (PSGs). Three months after VNS therapy was initiated, PSGs were repeated. In addition, patient 7 had a study with esophageal pressure monitoring, and patient 1 had a continuous positive airway pressure (CPAP) trial. RESULTS: Baseline PSGs: One of 16 patients had an apnea-hypopnea index (AHI) >5 (6.8). Treatment PSGs: Five of 16 patients had treatment AHIs >5. Respiratory events were more frequent during periods with VNS activation (on-time) than without VNS activation (off-time; p = 0.016). Follow-up studies: Esophageal pressure monitoring in patient 7 showed crescendos in esophageal pressure during VNS activation, supporting an obstructive pattern. The CPAP trial of patient 1 showed that all respiratory events were associated with VNS stimulation at low CPAP levels. They were resolved at higher CPAP levels. CONCLUSIONS: Treatment with VNS affects respiration during sleep and should be used with care, particularly in patients with preexisting obstructive sleep apnea. The AHI after VNS treatment remained <5 in the majority of patients and was only mildly elevated (<12) in five patients. In one patient, CPAP resolved VNS-related respiratory events.