A Theory of Planned Behavior Research Model for Predicting the Sleep Intentions and Behaviors of Undergraduate College Students

Allowing time for 8+ hours of sleep: identification and validation of important beliefs using the reasoned action approach

Introduction

The present studies advance research using the Reasoned Action Approach to understand sleep behavior. Identification of the modal salient beliefs that individuals hold regarding their sleep habits is necessary to understand the attitudes, perceived normative pressure, and perceived behavioral control (PBC) that individuals hold.

Methods

Belief elicitation (Study 1) and follow-up validation (Study 2) studies of undergraduates at a Midwestern USA university were conducted to identify readily accessible and important beliefs regarding allowing time for 8+ hours of sleep each night.

Results

Important attitude relevant beliefs included positive effects on mood, thinking, health, and productivity. Important normative beliefs were perceived injunctive pressure from family, health professionals, and significant others. Because of the strong influence of PBC on intentions/behavior, most important were control beliefs about the need for good time management.

Discussion

The present studies increased our understanding why many individuals do not allow time to obtain adequate sleep. Identification of the beliefs that distinguish between those who intend to allow time for adequate sleep and those who do not is a necessary step toward the design of effective interventions to improve sleep duration. The results indicate that a focus on increasing time management skills and PBC may be an effective approach for sleep interventions.

A Mixed-Methods, Multimedia Pilot Study to Investigate Sleep Irregularity Determinants Among Undergraduate Students

PURPOSE

To pilot a novel approach investigating the interplay of social and institutional determinants influencing university undergraduate student sleep patterns.

DESIGN

A two-part, three-phase mixed-methods approach.

SETTING

A mid-size US university conducted in spring and fall 2020.

PARTICIPANTS

191 undergraduate students (69 first-years, 43 second-years, 48 third-years, 31 fourth-years).

METHOD

For Part A, participants texted their activities and emotions in real time, producing a data-rich, weeklong diary of comprehensive activity logs, emoticons, multimedia submissions, and juxtapositions of ideal vs real schedules. Semi-structured contextual interviews were also conducted. For Part B, a one-time survey examined Part A insights across all class years. These diverse datasets were triangulated using thematic, comparative, and content analyses through MAXQDA software and visual mapping methods.

RESULTS

Three preliminary themes were identified as encouraging an irregular sleep schedule: a prevailing academic ethos emphasizing busyness, time management challenges, and the rhythm of institutional schedules and deadlines. An overarching theme suggests that perceptions of peer sleep habits and academic prioritization above all else could be influential across factors.

CONCLUSION

This pilot study indicates that sleep regularity among undergraduates is potentially shaped by individual choices combined with broader institutional paradigms. While it is limited by its exploratory nature, timing, and small sample size, the results highlight the promise of this methodology for more extensive studies and suggest that future interventions should emphasize systemic changes that prioritize sleep.

Better characterizing sleep beliefs for personalized sleep health promotion: the French sleep beliefs scale validation study

Background

The Sleep Beliefs Scale (SBS) is a well-known tool to design and monitor personalized sleep health promotion at an individual and population level. The lack of an established French version limits the development of effective interventions targeting these populations. Thus, the aim of this study was to validate the French version of the SBS in a representative sample of the general population.

Methods

Quota sampling was used to recruit 1,004 participants (18-65 years, mean age: 43 years, 54% of female) who underwent an online survey to complete the SBS, and to assess sleep schedules, sleep quality and disorders, and mental health. Cronbach's α coefficient, confirmatory factor analysis, item-internal consistency (IIC), and item discriminant validity (IDV) of the SBS were computed to assess internal validity while bivariate associations with sleep schedules, sleep quality and disorders, and mental health were used to assess external convergent and discriminant validity.

Results

The mean score on the SBS was 12.3 ± 4.9. Item 19 ("Quiet & Dark") showed the highest rate of correct answers (n = 801, 79.8%), while item 20 ("Recovering sleep") showed the lowest rate of correct answers (n = 246, 24.5%). Overall, the SBS showed satisfactory internal consistency (α = 0.87) and confirmed the three-factor structure proposed by the original study. All items were found consistent (IIC > 0.4) and discriminant (IIC > IDV) except for item 20 ("recovering lost sleep by sleeping for a long time"). Females, older participants, and subjects with short time-in-bed, poor sleep quality, insomnia, and circadian rhythm disorder had higher SBS scores while participants with depressive symptoms had lower SBS scores.

Conclusion

We successfully translated and validated the French version of the SBS in a representative sample, making it a reliable instrument for researchers and clinicians to assess and target sleep beliefs. Correct answers vary from 25 to 80% which underlines the importance of continuing sleep health promotion campaigns by targeting poorly understood behaviors. Our findings also shed light on the fickleness of beliefs that are prone to vary within individuals across time, in step with societal changes. Several associated factors were identified, thus contributing to our understanding of sleep beliefs and offering insights for personalized approaches to enhance sleep health and overall well-being.

Determinants of unhealthy sleeping habits among Belgian university students: an application of the Theory of Planned Behavior

Objectives: This study investigated if unhealthy sleeping habits of university students can be explained by the Theory of Planned Behavior. Method: An online questionnaire was administered to 1006 undergraduate students at a Belgian university to measure their frequency of irregular sleeping times, daytime napping, and pre-bedtime alcohol or internet use, as well as the attitudes, perceived norms, perceived control and intentions for these behaviors. Results: Principal Component Analysis and internal consistency analysis confirmed the validity and reliability of the scales measuring the TPB dimensions. Expected outcomes, perceived norms and perceived control significantly explained intentions to avoid irregular sleeping times, daytime naps, pre-bedtime activity and pre-bedtime alcohol use. Intentions and perceived behavioral control explained self-reported irregular sleeping times, daytime napping, pre-bedtime activity, and pre-bedtime alcohol use. Significant differences in predictions were found for gender, study program, type of residence and age. Conclusions: The TPB provides a useful theoretical framework to explain students' sleeping behaviors.

Time Management Behavior Structural Equation Model Predicts Global Sleep Quality in Traditional Entry University Students

Background

Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies.

Purpose

The purpose of our study was to evaluate time management behaviors as predictors of sleep quality in traditional entry university students. We hypothesized time management behaviors would predict perceived control of time, which in turn, would predict global sleep quality.

Methods

A cross-sectional convenience sample of university students (n=302) completed a 73-item instrument comprised of the Pittsburgh Sleep Quality Index and the Time Management Behavior scale. Model building procedures included exploratory factor analysis, confirmatory factor analysis, and structural equation modeling.

Results

Our specified model identified significant paths between setting goals and priorities (β= .261; p=.012), mechanics of time management (β=.210; p=.043) and preference for organization (β=.532; p<.001) for perceived control of time (R2=.300 p<.001). We further identified a significant path between perceived control of time and global sleep quality (R2=.196, p=.022).

Discussion

Our study suggests time management behaviors are associated with global sleep quality.

Translation to Health Education Practice

Health education interventions addressing sleep quality of traditional entry university students should consider incorporating time management behaviors.

Sleep and self-efficacy: The role of domain specificity in predicting sleep health

OBJECTIVES

Although a number of empirically supported sleep interventions exist, sleep-related beliefs remain largely unexplored as clinical tools for enhancing existing interventions. The present study aimed to determine the differential associations between general and sleep self-efficacy with sleep health among a sample of adults PARTICIPANTS: Participants were 3284 adults (Mean Age = 43 years, 48.5% female, 6.4% other-identifying, 80.8% white).

MEASUREMENTS

Participants completed measures of self-efficacy (general and sleep self-efficacy) and sleep health as part of their involvement in a larger online study. General self-efficacy and sleep self-efficacy were measured with the General Self-Efficacy and Sleep Self-Efficacy scales respectively. Sleep was assessed with the RegUlarity, Satisfaction, Alertness, Timing, Efficiency, Duration scale. A structural equation model was conducted to determine the associations between measures of general and sleep self-efficacy and sleep health, represented by 2-factors derived from the RegUlarity, Satisfaction, Alertness, Timing, Efficiency, Duration measure.

RESULTS

The structural model evidenced adequate to good fit to the data and indicated that both general and sleep self-efficacies were directly associated with the latent sleep quality/quantity and circadian rhythm outcomes. Higher general and sleep self-efficacies were positively associated with sleep regularity, timing, and alertness. Higher sleep self-efficacy and lower general self-efficacy were associated with higher sleep satisfaction, duration, and efficiency.

CONCLUSIONS

Findings highlight the importance of domain specificity in the association between self-efficacy and sleep health outcomes. There is a need for more research into and application of interventions targeted toward increasing sleep self-efficacy as a potential avenue to improve sleep health.

Sleep apnea in people with Down syndrome: Causes and effects of physical activity?

Poor sleep quality is recognized as a major risk factor for poor health, increasing the incidence of serious chronic diseases. In people with Down syndrome, sleep apnea prevalence is significantly greater, it is caused by genetic, anatomical, endocrine, and metabolic abnormalities. The consequences of sleep disruption due to sleep apnea are very serious, especially in terms of neurocognitive and cardiovascular effects, leading to reduced life expectancy and quality of life in this population. However, the management, care, and treatment of related disorders in people with Down syndrome are still inadequate and limited. Therefore, this article wants to increase understanding and awareness about sleep apnea and the benefits of physical activity in improving sleep quality in the Down syndrome community, families, and their care specialists.

Improving Sleep Among Teachers: an Implementation-Intention Intervention

BACKGROUND

Insufficient sleep is common among teachers and is associated with diverse health risks. This study aimed to predict intention and sleep duration by applying the Theory of Planned Behavior (TPB) and to examine the effectiveness of an implementation-intention intervention to improve sleep duration and quality.

METHOD

Sixty-nine teachers (M = 36.8 years, SD = 10.4) were assigned to an active control group (CG) or intervention group (IG). At baseline, TPB variables were assessed and participants of the IG received instructions to develop implementation intentions to reach the goal of sleeping 8 h on average. During a 3-week intervention period, all participants wore an activity tracker (Fitbit Charge HR) to measure sleep duration and kept diaries to assess sleep quality, physical activity, and stress. After 1 month, a 1-week follow-up, including a booster for the IG, was conducted.

RESULTS

Forty-two percent of variance in sleep duration were explained by control variables, past behavior, perceived behavioral control, and intention. Mixed ANOVAS with baseline covariates found a large main effect with longer sleep duration in the IG. A time x group interaction suggested that only the IG slept significantly longer in the follow-up period compared to the intervention period. For sleep quality, a medium-sized main effect for study group was found and a time x group interaction indicated higher sleep quality in the IG for week 3 and the follow-up.

CONCLUSION

The TPB was effective in predicting sleep intention and duration. Implementation intentions accompanied by daily monitoring and a booster appear to be promising for improving sleep.

The impact of students’ mathematical attitudes on intentions, behavioral engagement, and mathematical performance in the China’s context

Referring to the theory of planned behavior (TPB), this study intends to investigate the impact of students’ mathematical attitude determinants (i.e., attitude, subjective norms, and perceived behavioral control) on intentions, behavioral engagement, and mathematical performance. The data collected online in China’s context and the research hypotheses are developed and then tested through structural equation modeling. It is found that attitude and subjective norms have effects, directly or indirectly, on intentions, behavioral engagement, and mathematical performance. In addition, the intentions have a significant effect on behavioral engagement, and behavioral engagement does likewise on mathematical performance. It has also been accepted that perceived behavioral control is not directly related to intentions but largely to behavior and indirectly to mathematical performance through behavior alone. In conclusion, this study’s findings will contribute to the current literature on mathematical performance and will also inform the policymakers of the proposal on students’ mathematics belief and attitude interventions as a means to improving students’ mathematical performance.

Adolescent sleep duration: associations with social‐cognitive determinants and the mediating role of sleep hygiene practices

Insufficient sleep duration among adolescents is a widespread public health problem. Gaining better insight into social-cognitive determinants associated with adolescent sleep duration is necessary for developing effective preventive interventions to support healthy sleep. This study aimed to explore whether social-cognitive determinants regarding sufficient sleep duration were associated with sleep duration, and if these associations were mediated by collective sleep hygiene practices. Furthermore, we examined these associations for social-cognitive determinants related to not using media before bedtime and doing relaxing activities and considered whether these associations were mediated by specific sleep hygiene practices. Data were collected amongst second- and third-grade adolescents from 10 Dutch high schools. A total of 878 adolescents (mean [SD] age 13.3 [0.71] years) completed data on sleep duration, social-cognitive determinants of the Theory of Planned Behaviour (i.e., attitude, subjective norms from parents, subjective norms from peers, perceived behavioural control, intention), and sleep hygiene practices. Single- and multivariable path models were constructed and mediation by sleep hygiene practices was analysed by Monte Carlo simulation. All social-cognitive determinants except for subjective norms from peers were associated with longer sleep duration (p < 0.01). Sleep hygiene practices mediated all associations between social-cognitive determinants and sleep duration (mediation ranging from 16% to 72%). Although some of the significant associations and mediation disappeared in the multivariable model, behavioural arousal was the strongest mediator, but collective sleep hygiene practices and cognitive/emotional arousal also explained parts of the associations. The findings indicate that social-cognitive factors should not be overlooked when targeting adolescent sleep duration.

A theoretical model of college students' sleep quality and health-related quality of life

Poor sleep confers significant morbidities and is highly prevalent among college students in the United States. This research assessed sleep quality and its association with health-related quality of life (HRQOL). Further, because sleep quality research often lacks a theoretical foundation, we applied a theoretical model using selected constructs from the Theory of Planned Behavior (TPB) and Health Belief Model (HBM). A random, stratified sample of undergraduate students participated in an online survey (N = 494). Structural equation modeling assessed the association between theoretical constructs, sleep quality, and HRQOL. The final model fit was acceptable, with ~ 20% of the variance in sleep quality explained by the theoretical constructs and control variables. HBM constructs were indirectly and negatively related to sleep quality, mediated through behavioral intention, and also positively and directly associated with behavioral intention. Behavioral intention was strongly and negatively associated with sleep quality. Approximately 31% of the variance in HRQOL was explained by poor sleep quality, behavioral intention, and gender. Poor sleep was most strongly associated with reduced HRQOL. HBM constructs and behavioral intention from TPB were significantly associated with poor sleep quality, and poor sleep was significantly related to poor HRQOL.

Quality of Sleep and Work Productivity among White-Collar Workers during the COVID-19 Pandemic

Background and Objectives: The COVID-19 pandemic has disrupted routine sleep and work patterns in the general population. We conducted an anonymous online survey among white-collar workers from various finance, IT and technology companies in Lithuania to define factors associated with worse sleep quality and diminished productivity during a COVID-19 lockdown. Materials and Methods: Employees of selected companies in Lithuania completed an anonymous questionnaire online that included the Pittsburgh Sleep Quality Index (PSQI), The Sleep Locus of Control (SLOC), the Generalized Anxiety Disorder Scale-7 (GAD-7), and the World Health Organization’s Health and Work Performance Questionnaire (WHO-HPQ). Respondents also provided information about their sleep hygiene, physical activity and alcohol use. Results: Data of 114 respondents (56, 49.1% male) were used for analysis. Among them, 49 (43.0%) suffered from poor sleep and 29 (25.4%) had clinically relevant levels of anxiety. However, there were only negligible levels of absenteeism in the sample (a median of zero hours of work lost over the past month). In a stepwise linear regression model (F(5,108) = 11.457, p < 0.001, R2adj = 0.316), high levels of anxiety, daily hours spent using the screen, use of electronic devices in the bedroom, smoking in the evening, and COVID-19-related changes in appetite were associated with worse sleep quality. Absenteeism was associated with physical activity of moderate intensity and decreased self-reported productivity during the pandemic (F(2,111) = 7.570, p = 0.001, R2adj = 0.104). However, there was no strong relationship between sleep-related variables (i.e., sleep hygiene, sleep locus of control, quality of sleep) or levels of anxiety and measures of work productivity. Conclusions: Our findings suggest that while bad sleep hygiene, anxiety, and changes in appetite are associated with worse sleep quality among white-collar workers during the pandemic, work productivity may remain high irrespective of disrupted sleep.

Socio-cognitive Determinants of Healthy Sleep Behaviors Among Iranian Elderly: Application of the Theory of Planned Behavior

Background: Sleep quality and quantity disorders are among the most important problems in old age. Healthy sleep behaviors are among the best ways to deal with sleep disorders among the elderly. This study aimed to determine the socio-cognitive determinants predicting healthy sleep behaviors among the elderly who had been referred to the retirement centers in Hamadan, Iran. Methods: This cross-sectional study was performed among 288 elderly people who had been referred to the retirement centers in Hamadan, Iran in 2020, and were selected through stratified random sampling. Data were collected online using a self-administered questionnaire with items on demographic characteristics and the theory of planned behavior (TPB) constructs. Data were analyzed by SPSS software (version 16) using Pearson correlation, independent t test, one-way ANOVA, and linear regression tests at the significance level of 0.05. Results: The mean (±standard deviation) age of respondents in this study was 67.2 (±6.3) years. Perceived behavior control (β=0.409), attitude (β=0.251), and subjective norms (β=0.205) were stronger predictors of healthy sleep behavior intention among the elderly, respectively; collectively, they accounted for 28.5% of the variation in sleep health behavior intention. Behavioral intention (β=0.429) and perceived behavioral control (β=0.167) were also predictors of healthy sleep behaviors among the elderly. There was a statistically significant relationship between the educational level and healthy sleep behaviors (P<0.05). Conclusion: It seems that the development and implementation of educational programs based on the TPB for the improvement of attitudes, subjective norms, and perceived behavior control can play an effective role in promoting healthy sleep behaviors and sleep quality among the elderly.

Effect Evaluation of a School-Based Intervention Promoting Sleep in Adolescents: A Cluster-Randomized Controlled Trial

BACKGROUND

This study evaluated the effect of the school-based intervention Charge Your Brainzzz on adolescents' social-cognitive determinants, sleep hygiene and sleep duration and quality.

METHODS

A cluster-randomized controlled trial was conducted with 972 students from 10 Dutch high schools. Schools were randomly allocated to the intervention (N = 5) or control condition (N = 5). Outcomes were measured with the digital Consensus Sleep Diary and via a digital questionnaire, based on valid measures. Data were collected at baseline (T0), ±1.5 weeks post-intervention (T1) and ±3 months post-intervention (T2). Mixed model analyses were performed to estimate the effects on social-cognitive determinants, sleep hygiene, and sleep outcomes.

RESULTS

The intervention increased sleep knowledge post-intervention (b = 1.91; 95%CI: 1.22-2.60) and at follow up (b = 1.40; 95%CI: 0.70-2.10). The intervention was also effective in changing adolescents' attitudes (b = 0.10; 95%CI: 0.01-0.19) and perceived behavioral control (b = 0.11; 95%CI: 0.01-0.22) post-intervention. No positive changes were found regarding subjective norms, behavioral intentions, sleep hygiene, or sleep outcomes.

CONCLUSIONS

The intervention improved adolescents' sleep knowledge, attitude, and perceived behavioral control. To significantly impact sleep health, theoretically sound and systematically developed interventions are needed which take into account the interplay between sleep, sleep-related behaviors, and adolescents' social and physical environment.

CLINICAL TRIAL REGISTRATION

Trial name: Evaluation of the school-based intervention Charge Your Brainzzz promoting sleep in adolescents; URL: https://doi.org/10.1186/ISRCTN36701918; ID: ISRCTN36701918.

The theory of planned behaviour and sleep opportunity: An ecological momentary assessment

Many American adolescents and adults report that they are not meeting sleep duration recommendations. Although insufficient sleep duration can occur due to factors outside an individual's direct control, many individuals choose to restrict their own sleep. The theory of planned behaviour (TPB) offers a framework to study this phenomenon. Recent research efforts have used the TPB to study sleep and have demonstrated success predicting sleep-related intentions and behaviour but have failed to consider volitional sleep behaviour or consider between- and within-person differences. The present study used an intensive longitudinal design to test how constructs of the TPB relate to nightly sleep opportunity. Healthy college students (N = 79) participated in a weeklong study in which they completed four ecological momentary assessment signals per day that measured their attitudes, subjective norms, perceived behavioural control, and intentions relating to their nocturnal sleep opportunity. Participants wore an actiwatch each night of the study to measure their sleep opportunity. Mixed linear models found that both intentions and perceived behavioural control were significant predictors of subsequent sleep opportunity, and that perceived behaviour control was the strongest within-day predictor of intentions. Results demonstrate that within-person changes in perceived behavioural control and intentions predict subsequent sleep opportunity and provide insight into the potential refinement of sleep promotion efforts.

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

BACKGROUND

A great proportion of college students experience various sleep problems, which damage their health and study performance. College students' sleep problems, which are caused by several factors, have been easily ignored before. In the past decade, more research has been published to expand our understanding of undergraduates' sleep. The purpose of the study is to explore the research hotspots and frontiers regarding college students' sleep using CiteSpace5.8.R3 and offer guidance for future study.

METHODS

We retrieved relevant literature from the Web of Science Core Collection Database and imputed the downloaded files into CiteSpace5.8.R3 for visualization analysis. We generated network maps of the collaborations between authors, countries, institutions, the cited journals, and co-occurrence keywords. The analysis of keywords clusters, timeline views, and keywords citation bursts help us identify the hotspots and research trends.

RESULTS

A total of 1,841 articles related to college students' sleep, published from 2012 to 2021, were selected. The number of publications gradually increased. Karl Peltzer was the most prolific authors with 15 publications. The United States and Harvard University separately contributed 680 and 40 articles and had the greatest impact in this field. SLEEP ranked first in the frequency of cited journals. The article published by Lund HG was the most influential publication. Based on the analysis of keywords, we summarized research hotspots as follows: current status, affecting factors, and adverse outcomes of college students' sleep. The frontiers were the further understanding of the relationships between sleep and mental and physical health, and various interventions for sleep disorders.

CONCLUSION

Our study illustrates the research hotspots and trends and calls for more research to expand the findings. In the future, the cooperation between institutions and authors needs to be strengthened. The complex relationships between sleep and mental and physical health and problematic substance use disorders are necessary to be explored. Longitudinal studies or randomized controlled trials should be constructed to verify the current findings or assumptions.

Health-Related and Lifestyle Factors as Predictors of Intentions to Improve Lifestyle Habits in Employees Participating in a Workplace Health Promotion Program

OBJECTIVES

To explore employees' intentions to improve lifestyle habits, investigate the health and lifestyle-related predictors of these intentions, and how it translated into behavioral improvement.

METHODS

Employees participating in the Activate Your Health WHPP completed a questionnaire of their demographics, health-related variables, as well as six lifestyle habits and intention to improve them.

RESULTS

At baseline (n = 2729), most employees wanted to focus on physical activity and eating habits. Many predictors were identified for each intention. Majority of intentions were associated with behavioral improvement post-program (n = 525), especially in High.

CONCLUSIONS

In the context of WHPPs, intention to improve may lead to actual behavioral improvement. Exploring employees' intentions to improve various lifestyle habits at the start of the program could improve the effectiveness of these programs.

Beliefs of women of childbearing age on healthy sleep habits: a reasoned action approach elicitation study

There is little information on the determinants of healthy sleep habits (HSH) among women of childbearing age (WOCBA). The objective was to identify WOCBA's beliefs on HSH based on the Reasoned Action Approach. Thirty WOCBA (18-41 years) were randomly assigned to answer questions regarding one of three HSH: avoiding screen use in bed; avoiding caffeine, alcohol and cigarettes before bedtime; and having a regular bedtime and wake up time even on weekends. A content analysis was performed independently by two experts to identify the most important beliefs using a 75% cumulative frequency of mention. Participants reported that adopting the HSH would improve sleep, avoid side effects, help them relax before bedtime and make them feel like they were missing out on things. Adopting the HSH was associated with feeling relaxed and satisfied, but also qualified as unpleasant and abnormal. WOCBA mentioned their parents, partner, siblings and children would approve/disapprove if they adopted the HSH and were the most/least likely to adopt them. Barriers were having activities in the evening and social situations. Facilitating factors were putting their electronic devices away from bed, having alternatives and a regular schedule. These results can guide the development of interventions promoting HSH among WOCBA.

Self-efficacy and HPV Vaccine Attitudes Mediate the Relationship Between Social Norms and Intentions to Receive the HPV Vaccine Among College Students

Human papillomavirus (HPV) has been linked to genital warts and multiple cancers affecting both men and women. Despite college students' high risk for HPV, their vaccination rates remain suboptimal. The current observational study examined the relationship between social norms and HPV vaccine intentions and potential mechanisms underlying this relationship among undergraduates. Participants (N = 190; 66.8% female) completed a survey assessing HPV vaccine social norms, attitudes, self-efficacy, and intentions. Three mediation analyses were conducted to examine whether self-efficacy and attitudes mediated the relationship between social norms (i.e., parents, friends, doctor) and intentions, controlling for demographic and health care covariates. Social norms were indirectly related to intentions through self-efficacy and attitudes in multiple models (ps < .05). Specifically, perceiving greater support for HPV vaccination from one's friends, parents, and doctor was related to greater HPV vaccine self-efficacy, which, in turn, was related to increased vaccine intentions. In addition, perceiving greater parental and doctor support for HPV vaccination was related to more favorable attitudes towards the vaccine, which, in turn, were related to increased vaccine intentions. Findings suggest potential targets for future interventions to promote HPV vaccination among young adults.

Modeling Risk Factors for Sleep- and Adiposity-Related Cardiometabolic Disease: Protocol for the Short Sleep Undermines Cardiometabolic Health (SLUMBRx) Observational Study

Background

Obesity and short sleep duration are significant public health issues. Current evidence suggests that these conditions are associated with cardiovascular disease, metabolic syndrome, inflammation, and premature mortality. Increased interest in the potential link between obesity and short sleep duration, and its health consequences, has been driven by the apparent parallel increase in the prevalence of both conditions in recent decades, their overlapping association with cardiometabolic outcomes, and the potential causal connection between the two health issues. The SLUMBRx (Short Sleep Undermines Cardiometabolic Health) study seeks to contribute to the development of a comprehensive adiposity-sleep model while laying the groundwork for a future research program that will be designed to prevent and treat adiposity- and sleep-related cardiometabolic disease risk factors.

Objective

This SLUMBRx study aims to address 4 topics pertinent to the adiposity-sleep hypothesis: the relationship between adiposity and sleep duration; sex-based differences in the relationship between adiposity and sleep duration; the influence of adiposity indices and sleep duration on cardiometabolic outcomes; and the role of socioecological factors as effect modifiers in the relationship between adiposity indices, sleep, and cardiometabolic outcomes.

Methods

SLUMBRx will employ a large-scale survey (n=1000), recruiting 159 participants (53 normal weight, 53 overweight, and 53 obese) to be assessed in 2 phases.

Results

SLUMBRx was funded by the National Institutes of Health, Heart, Lung, and Blood Institute through a K01 grant award mechanism (1K01HL145128-01A1) on July 23, 2019. Institutional Review Board (IRB) approval for the research project was sought and obtained on July 10, 2019. Phase 1 of SLUMBRx, the laboratory-based component of the study, will gather objective adiposity indices (air displacement plethysmography and anthropometrics) and cardiometabolic data (blood pressure, pulse wave velocity and pulse wave analysis, and a blood-based biomarker). Phase 2 of SLUMBRx, a 1-week, home-based component of the study, will gather sleep-related data (home sleep testing or sleep apnea, actigraphy, and sleep diaries). During phase 2, detailed demographic and socioecological data will be collected to contextualize hypothesized adiposity and sleep-associated cardiometabolic disease risk factors. Collection and analyses of these data will yield information necessary to customize future observational and intervention research.

Conclusions

Precise implementation of the SLUMBRx protocol promises to provide objective and empirical data on the interaction between body composition and sleep duration. The hypotheses that will be tested by SLUMBRx are important for understanding the pathogenesis of cardiometabolic disease and for developing future public health interventions to prevent its conception and treat its consequences.

International Registered Report Identifier (IRRID)

PRR1-10.2196/27139

Determinants of sleep habits in toddlers: Application of planned behavior theory

BACKGROUND

Sleep health is a prerequisite for mental and physical health. The family affects the sleeping habits of the child.

OBJECTIVE

The purpose of this study was to investigate the theory of mothers' planned behavior in predicting sleeping habits of toddlers.

METHODS

The participants of this descriptive-analytical study were 120 mothers of 12- to 36-month-old children living in Razan, Hamadan province, Iran. Data were collected in three stages in order to develop a theory-based tool. Semi-structured qualitative interviews with mothers were conducted to investigate the application of theory in predicting mothers' intention and behavior (n = 25). The face and content validity of the questionnaire was confirmed by a panel of experts. Test-retest method was used to determine the reliability of the questionnaire at 3 weeks interval (n = 25). Validity of Structural Convergence and Divergence with Factor Analysis, Internal Consent with Cronbach's Alpha and predictive validity was determined by multiple regression coefficients (n = 120).

RESULTS

The mean age of the children was 22.8 ± 7.5 months, 55% (66 children) were boys, the mean score of the children's sleep questionnaire was 49 ± 6, and the children's sleep duration was 9 ± 1 hour. Theoretical constructs have a positive and direct correlation with each other and with children's sleep habits, which demonstrates the validity of the theory in predicting toddler sleep habits. Regression analysis showed that perceived behavioral control was the strongest predictor of sleeping habits of toddlers (𝛽 = 0.446) (P = 0.000). The theory of planned behavior can explain 30.5 to 25.7% of the variance of toddler sleep habits.

CONCLUSION

While recommending more comprehensive studies, the findings of the study emphasize the application of the theory of planned behavior in identifying factors influencing sleep habits and designing child sleep improvement interventions.

Predictors of Intervention Interest Among Individuals With Short Sleep Duration

STUDY OBJECTIVES

Over one-third of the United States population sleeps less than the recommended 7 hours a night, which increases risk for chronic diseases. The aim of this study was to evaluate the acceptability of sleep extension interventions and preferences in sleep extension interventions among adults with short sleep duration.

METHODS

Participants aged 18 to 65 years with self-reported sleep duration ≤ 6.5 hours completed an online survey including reported sleep behaviors, barriers to adequate sleep, interest in sleep extension interventions, and a sleep disturbance questionnaire. Data were analyzed using chi-square and binary logistic regression.

RESULTS

Participants (n = 92; 61 females; mean age = 45.6 years, standard deviation = 13.5) reported an average sleep duration of 5:49 (standard deviation = 0:49). More than half of the participants reported current health comorbidities (64%), including insomnia (n = 12, 13%) and sleep apnea (n = 9, 10%). Many participants (38%) reported sleep disturbance. The most common barrier to adequate sleep included insomnia or other sleep problems (55%). Most respondents (84%) indicated an interest in increasing sleep duration. Of the treatment options suggested, most (84% of those interested) were interested in a wrist-worn device. Participants with insomnia or other sleep disorders were more likely to be interested in extending sleep, (χ² = 12.86, P < .001) and in a wrist-worn device (χ² = 5.24, P = .022). Higher Patient-Reported Outcomes Measurement Information System sleep disturbance t scores were also associated with interest in monitoring sleep with a wrist-worn device (b = .18, P < .001).

CONCLUSIONS

Sleep extension interventions using wearable technology are attractive to individuals with short sleep duration, particularly those with greater sleep disturbance and comorbid sleep disorders.

CITATION

Adkins EC, DeYonker O, Duffecy J, Hooker SA, Baron KG. Predictors of intervention interest among individuals with short sleep duration. JClin SleepMed. 2019;15(8):1143-1148.

Developing and Validating an Instrument to Evaluate Theory-Based Behavioral Antecedents of Consuming a High-Fiber Diet

Obesity is a major public health concern, with low consumption of fiber-rich foods (e.g., fruits and vegetables) commonly cited as a causal factor. The purpose of this study was to evaluate the validity of a survey measuring the constructs of the Reasoned Action Approach under the context of consuming a high-fiber diet. After an initial draft of the survey was developed, it was evaluated by a panel of six experts to establish face and content validity. Next, data were collected from an adult sample (n = 878), and psychometric data revealed indices of reliability (Cronbach’s alpha) and validity (confirmatory factor analysis). The average age of adults was 51.5 years (±12.8), and a majority were Caucasian (81%), and women (93%). With regards to construct validity, the model structure had adequate fit (e.g., Comparative Fit Index = 0.960). In addition all items loaded significantly on its corresponding scale. For internal consistency reliability, all Cronbach’s alpha scores were > 0.70. Overall the survey appears to be a promising tool for researchers and practitioners. Understanding the theoretical determinants of fiber consumption will help tie theory together with practice.

Efficacy of a Theory-Based Cognitive Behavioral Technique App-Based Intervention for Patients With Insomnia: Randomized Controlled Trial

Background

Sleep hygiene is important for maintaining good sleep and reducing insomnia.

Objective

This study examined the long-term efficacy of a theory-based app (including cognitive behavioral therapy [CBT], theory of planned behavior [TPB], health action process approach [HAPA], and control theory [CT]) on sleep hygiene among insomnia patients.

Methods

The study was a 2-arm single-blind parallel-group randomized controlled trial (RCT). Insomnia patients were randomly assigned to a treatment group that used an app for 6 weeks (ie, CBT for insomnia [CBT-I], n=156) or a control group that received only patient education (PE, n=156) through the app. Outcomes were assessed at baseline and 1 month, 3 months, and 6 months postintervention. Primary outcomes were sleep hygiene, insomnia, and sleep quality. Secondary outcomes included attitudes toward sleep hygiene behavior, perceived behavioral control, behavioral intention, action and coping planning, self-monitoring, behavioral automaticity, and anxiety and depression. Linear mixed models were used to evaluate the magnitude of changes in outcomes between the two groups and across time.

Results

Sleep hygiene was improved in the CBT-I group compared with the PE group (P=.02 at 1 month, P=.04 at 3 months, and P=.02 at 6 months) as were sleep quality and severity of insomnia. Mediation analyses suggested that perceived behavioral control on sleep hygiene as specified by TPB along with self-regulatory processes from HAPA and CT mediated the effect of the intervention on outcomes.

Conclusions

Health care providers might consider using a CBT-I app to improve sleep among insomnia patients.

Trial Registration

ClinicalTrials.gov NCT03605732; https://clinicaltrials.gov/ct2/show/NCT03605732

Predicting Hand Washing and Sleep Hygiene Behaviors among College Students: Test of an Integrated Social-Cognition Model

Objective: Hand washing and sleep hygiene are two important health behaviors. The purpose of the current study was to identify the motivational and volitional antecedents of college students’ hand washing and sleep hygiene behaviors based on an integrated model of behavior that combined social-cognition constructs from the Theory of Planned Behavior (TPB) and Health Action Process Approach (HAPA). Methods: Using a prospective design, college students (N = 1106) completed a survey assessing the motivational constructs of action self-efficacy, attitudes, subjective norm, perceived behavioral control, intentions, and behaviors of hand washing and sleep hygiene at Time 1. Demographic variables were also collected. One month later, at Time 2, college students (N = 524) self-reported on their volitional factors of maintenance self-efficacy, action planning, coping planning, and behaviors of hand washing and sleep hygiene. A further 2 months later, at Time 3, college students (N = 297) were asked to self-report on their hand washing and sleep hygiene behaviors over the past month. Findings: Data were analyzed using variance-based structural equation modelling. Results showed significant direct effects of attitudes, subjective norm, and perceived behavioral control on intentions; significant direct effects of action self-efficacy on maintenance self-efficacy; and significant direct effects of maintenance self-efficacy on action planning and coping planning. Significant direct effects of intention on action planning (sleep hygiene only), and significant direct effects of intention, maintenance self-efficacy (hand washing only), action and coping planning on behavior were also observed. Action planning also moderated the intention–behavior relationship, but only for hand washing. There were also significant total indirect effects of action self-efficacy on behavior mediated by maintenance self-efficacy, action planning, and coping planning for both behaviors, and significant total indirect effects of subjective norm and perceived behavioral control on behavior mediated by intention for sleep hygiene. When past behavior was included in the integrated model predicting all the psychological variables and behavior, all of the structural relations were attenuated. Discussion: Current findings indicate that college students’ hand washing and sleep hygiene behaviors are a function of both motivational and volitional factors. Findings also indicate that the TPB and HAPA pathways might differ for the two health behaviors. Implications of the current findings for future health interventions aimed at improving college students’ hand washing and sleep hygiene are discussed.

A Cross-Sectional Study Using Health Behavior Theory to Predict Rapid Compliance With Campus Emergency Notifications Among College Students

OBJECTIVE

Compliance with college emergency notifications can minimize injury; however, time is often wasted in alert verification. Building on prior research, this study assesses using health-behavior theory to predict rapid compliance to emergency notifications across a range of scenarios and within a diverse college population.

METHODS

Cross-sectional, student data were collected in 2017-2018 (n = 1529). The Theory of Planned Behavior and Protection Motivation Theory were used to explain intention to comply with emergency notifications in scenarios: robbery, shooter, fire, chemical spill, protest, health emergency, and air quality. Regression models assessed associations between constructs and intention to rapidly comply with each notification.

RESULTS

The most consistent predictors of rapid compliance were attitudes and subjective norms (adjusted odds ratio [AOR]: 1.057-1.118; 95% CI: 1.009-1.168). Scenarios prone to rapid developments such as robbery, shooter, and fire were associated with increased perceived threat and response efficacy (AOR: 1.024-1.082; 95% CI: 1.003-1.132) Slower developing situations such as air quality and health hazards were associated with increased perceived control (AOR: 1.027-1.073; 95% CI: 1.031-1.117).

CONCLUSIONS

This study identified attitude and subjective norms as consistent predictors of rapid compliance and improves understanding of additional constructs across scenarios. Campuses may benefit from leveraging concepts from health-behavior theory to provide targeted intervention focusing on factors associated with rapid compliance.

Do different factors predict the adoption and maintenance of healthy sleep behaviors? A reasoned action approach

Sleep deprivation is a serious public health concern in the United States that often goes unnoticed, particularly among college students and young adults. Concerted efforts are needed to help those who are not engaging in healthy sleep behaviors, while also helping those who are already maintaining healthy sleep behaviors. The purpose of the study was to evaluate theory-based determinants of intentions toward healthy sleep behaviors among students currently not sleeping 7-9 hr per night, oriented toward initiating the behavior (to start sleeping 7-9 hr per night in the next 30 days; behavioral adoption), and students currently sleeping 7-9 hr per night, oriented toward maintaining the behavior (sleeping 7-9 hr per night for the next 6 months; behavioral maintenance). The theoretical framework for this study was the reasoned action approach (RAA). A valid and reliable survey was distributed online to university students (adopters = 310, maintainers = 300). Regression analyses revealed which latent constructs predicted variance of intentions, using a three-construct and a six-construct model. For the adoption group, attitudes, perceived norms, and perceived behavioral control (PBC) accounted for 29.3% of the variance of intentions, and perceived norms and PBC accounted for 32.6% of the variance of intentions for the maintenance group. Furthermore, PBC, stemming from capacity (self-efficacy), was found to have the strongest influence on intentions for both groups. Results from this study support the use of the RAA as a model for designing future sleep interventions. Implications and recommendations for future research and practice are presented.

Comparisons as Predictors of People’s Beliefs About the Importance of Changing Their Health Behaviors

Abstract. The current study tested relative strengths of different comparison beliefs for predicting people’s self-assessments of whether they should increase their health-relevant behaviors (exercise, sleep, and fruit and vegetable consumption). Comparison beliefs relevant to three standards (perceived global, local, expert standards) were evaluated. Data were combined from three similar studies (total N = 744) that had a cross-sectional, within-subject design. Participants completed importance-of-change scales regarding the three health behaviors and reported comparison beliefs and absolute behavior frequencies/amounts. Results were consistent across the three behaviors. Comparison beliefs predicted ratings of importance of changing one’s behavior, even beyond what is predicted by reports of absolute behavior frequency. Expert comparisons were consistently most predictive above and beyond the absolute estimates and the other comparison standards. There was no evidence of a local dominance effect when examining local versus global comparisons. Comparison beliefs have unique utility for predicting people’s perceived importance of changing their heath behavior. The fact that expert comparisons were consistently most predictive (and local comparisons the least) may have implications for interventions designed for encouraging behavior change.

Adults' Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study

Background

There is a limited understanding of components that should be included in digital interventions for 24-hour movement behaviors (physical activity [PA], sleep, and sedentary behavior [SB]). For intervention effectiveness, user engagement is important. This can be enhanced by a user-centered design to, for example, explore and integrate user preferences for intervention techniques and features.

Objective

This study aimed to examine adult users’ preferences for techniques and features in mobile apps for 24-hour movement behaviors.

Methods

A total of 86 participants (mean age 37.4 years [SD 9.2]; 49/86, 57% female) completed a Web-based survey. Behavior change techniques (BCTs) were based on a validated taxonomy v2 by Abraham and Michie, and engagement features were based on a list extracted from the literature. Behavioral data were collected using Fitbit trackers. Correlations, (repeated measures) analysis of variance, and independent sample t tests were used to examine associations and differences between and within users by the type of health domain and users’ behavioral intention and adoption.

Results

Preferences were generally the highest for information on the health consequences of movement behavior self-monitoring, behavioral feedback, insight into healthy lifestyles, and tips and instructions. Although the same ranking was found for techniques across behaviors, preferences were stronger for all but one BCT for PA in comparison to the other two health behaviors. Although techniques fit user preferences for addressing PA well, supplemental techniques may be able to address preferences for sleep and SB in a better manner. In addition to what is commonly included in apps, sleep apps should consider providing tips for sleep. SB apps may wish to include more self-regulation and goal-setting techniques. Few differences were found by users’ intentions or adoption to change a particular behavior. Apps should provide more self-monitoring (P=.03), information on behavior health outcome (P=.048), and feedback (P=.04) and incorporate social support (P=.048) to help those who are further removed from healthy sleep. A virtual coach (P<.001) and video modeling (P=.004) may provide appreciated support to those who are physically less active. PA self-monitoring appealed more to those with an intention to change PA (P=.03). Social comparison and support features are not high on users’ agenda and may not be needed from an engagement point of view. Engagement features may not be very relevant for user engagement but should be examined in future research with a less reflective method.

Conclusions

The findings of this study provide guidance for the design of digital 24-hour movement behavior interventions. As 24-hour movement guidelines are increasingly being adopted in several countries, our study findings are timely to support the design of interventions to meet these guidelines.

Application of health behaviour theory to sleep health improvement

Although sleep hygiene is often used for broad sleep health promotion efforts, sleep hygiene education programmes are largely ineffective. These programmes are limited by their lack of a theoretical foundation. Health behaviour theory (HBT) has been used for decades to successfully predict and modify many health behaviours, but its use in the study of sleep health is rare. The purpose of this review is threefold. First, four dominant HBTs will be introduced. Second, the brief literature on HBT and sleep health will be reviewed. Lastly, a translational research agenda will be proposed. The present review concludes that HBT shows potential in both the prediction and modification of sleep health, and that there are several short- and long- term research goals to advance these efforts.

A cluster randomized controlled trial of a theory-based sleep hygiene intervention for adolescents

Study Objectives

To use theory to design and evaluate an intervention to promote sleep hygiene and health among adolescents.

Methods

The Theory of Planned Behavior (TPB) and the Health Action Process Approach (HAPA) were used to develop an intervention, which was then evaluated in a cluster randomized trial. Participants were high school students (N = 2,841, M age = 15.12, SD = 1.50). Adolescents in the intervention group received four face-to-face sessions providing behavior change techniques targeting the theoretical determinants of sleep hygiene. Adolescents in the control group only received educational material at the end of the study. The primary outcome was sleep hygiene measured at 1 and 6 months postintervention. A number of secondary outcomes were also measured, including beliefs about sleep, self-regulatory processes, and outcomes related to health and wellbeing.

Results

Sleep hygiene was improved in the intervention group when compared with the control group at both follow-up points (coefficients = 0.16 and 0.19, 95% CIs = 0.12-0.20 and 0.15-0.23 at 1 and 6 months, respectively, for scores on the Adolescent Sleep Hygiene Scale), as were psychosocial and general aspects of health. Mediation analyses suggested that beliefs about sleep hygiene as specified by the TPB, along with self-regulatory processes from HAPA, both mediated the effect of the intervention on outcomes. In turn, the effects of the intervention on sleep hygiene mediated its impact on general health.

Conclusions

Healthcare practitioners might consider intervention programs based on the TPB and the HAPA to improve sleep among adolescents.

Clinical Trial Registration

Clinicaltrials.gov (NCT02551913) https://clinicaltrials.gov/ct2/show/NCT02551913.

Association of sleep attitudes with sleep hygiene, duration, and quality: a survey exploration of the moderating effect of age, gender, race, and perceived socioeconomic status

Objectives

Sleep health is becoming more widely accepted as a possible preventative strategy against chronic disease and negative psychosocial outcomes. It is important to understand whether attitudes towards sleep vary by demographic characteristics and how potential differences in sleep attitudes could impact sleep outcomes. The present study examined whether there were demographic differences in sleep attitudes and whether the interaction between demographic characteristics and sleep attitudes impacted sleep outcomes (e.g. sleep hygiene, duration, and quality).

Methods

One hundred seventy-two adults from across the United States completed an anonymous survey on sleep and health.

Results

Sleep attitudes varied according to age, gender, and race, with more positive sleep attitudes reported by older adults, women, and those who identified as White. Although positive sleep attitudes predicted more sleep and better quality sleep, this association varied as a function of several demographic characteristics. A more complex picture arose for the interaction between demographics and sleep attitudes predicting sleep outcomes.

Conclusions

Future research should continue to discover for whom favorable sleep attitudes are beneficial and explore when and how sleep attitudes may be altered.

Sleep hygiene behaviours in Iranian adolescents: an application of the Theory of Planned Behavior

Poor sleep quality and inadequate sleep in adolescents are a rising trend globally. The Theory of Planned Behaviour (TPB)-which centres on an individual's attitude toward performing the behaviour, subjective norms and perceived behavioural control-has been applied to examine sleep hygiene behaviours in young adults. We expanded on prior works by using a longitudinal design to examine the effects of TPB factors, together with sleep hygiene knowledge and planning constructs, on sleep hygiene behaviours and on sleep quality and health in a group of Iranian adolescents. A total of 1822 healthy adolescents (mean age = 13.97) from 25 high schools in Qazvin, Iran, completed a self-reported survey at baseline and 6 months later. Structural equation modelling (SEM) was used to delineate the pathway from adolescents' sleep hygiene knowledge, TPB constructs of their behavioural intentions and sleep hygiene behaviours and their sleep quality and self-reported health. The SEM model demonstrated that although behavioural intention, coping planning and action planning predicted the sleep hygiene behaviours positively 6 months later with acceptable model fit [comparative fit index (CFI) = 0.936; Tucker-Lewis index (TLI) = 0.902; root mean square error of approximation (RMSEA) = 0.080; standardized root mean square residual (SRMR) = 0.044], sleep hygiene knowledge did not predict behavioural intentions significantly. Sleep hygiene behaviours were associated with sleep quality and psychiatric wellbeing. Thus, the TPB, combined with coping and action planning, is useful in understanding the sleep hygiene behaviours of adolescents. Health-care providers may want to emphasize TPB constructs and coping and action planning to improve adolescents' sleep hygiene behaviours, rather than rely solely upon increasing adolescents' sleep hygiene knowledge.

Sleep apps and behavioral constructs: A content analysis

Although sleep apps are among the most popular commercially available health apps, little is known about how well these apps are grounded in behavioral theory. Three-hundred and sixty-nine apps were initially identified using the term "sleep" from the Google play store and Apple iTunes in September 2015. The final sample consisted of 35 apps that met the following inclusion criteria: 1) Stand-alone functionality; 2) Sleep tracker or monitor apps ranked by 100 + users; 3) Sleep Alarm apps ranked by 1000 + users; and 4) English language. A coding instrument was developed to assess the presence of 19 theoretical constructs. All 35 apps were downloaded and coded. The inter-rater reliability between coders was 0.996. A "1" was assigned if a construct was present in the app and "0" if it was not. Mean scores were calculated across all apps, and comparisons were made between total scores and app ratings using R. The mean behavior construct scores (BCS) across all apps was 34% (5% - 84%). Behavioral constructs for realistic goal setting (86%), time management (77%), and self-monitoring (66%) were most common. Although a positive association was observed between BCS and user ratings, this was not found to be statistically significant (p > 0.05). The mean persuasive technology score was 42% (20% to 80%), with higher scores for paid compared to free apps (p < 0.05). While the overall behavior construct scores were low, an opportunity exists to develop or modify existing apps to support sustainable sleep hygiene practices.

Using Multitheory Model of Health Behavior Change to Predict Adequate Sleep Behavior

The purpose of this article was to use the multitheory model of health behavior change in predicting adequate sleep behavior in college students. A valid and reliable survey was administered in a cross-sectional design (n = 151). For initiation of adequate sleep behavior, the construct of behavioral confidence (P < .001) was found to be significant and accounted for 24.4% of the variance. For sustenance of adequate sleep behavior, changes in social environment (P < .02), emotional transformation (P < .001), and practice for change (P < .001) were significant and accounted for 34.2% of the variance.

Charlotte Attitudes Towards Sleep (CATS) Scale: A validated measurement tool for college students

OBJECTIVE

Using a 4-phase study design, the present study developed and tested the Charlotte Attitudes Towards Sleep (CATS) Scale, a measurement tool for assessing sleep attitudes in college students.

PARTICIPANTS

Participants were 706 undergraduate students recruited at a southeastern university and on a national recruitment Web site between October 2013 and April 2015.

METHODS

All participants completed the CATS Scale. Participants then completed either a measure of social desirability, faulty sleep beliefs, or measures of sleep and sleep hygiene. Phase 3 participants (N = 168) completed the CATS Scale 2 weeks later to examine test-retest reliability.

RESULTS

Analyses indicated that the scale was content valid, internally consistent, and independent of social desirability, yielded acceptable temporal stability, and demonstrated concurrent validity in relation to sleep behaviors and outcomes.

CONCLUSIONS

The CATS Scale is a theoretically driven instrument with promising psychometric properties that may prove beneficial for future research and application efforts among college students.

A "Sleep 101" Program for College Students Improves Sleep Hygiene Knowledge and Reduces Maladaptive Beliefs about Sleep

Sensitizing young adults about sleep hygiene knowledge and helpful sleep attitudes may have the potential to instill long-lasting healthy sleep practices. Towards these ends, evaluation of psychoeducational program "Sleep 101" tailored to college students was undertaken. Following two weeks of sleep-log recordings, participants were randomly assigned to a Sleep 101 (experimental) condition or a sleep monitoring (control) condition. The Sleep 101 condition was comprised of two 90-minute workshops aimed to educate students about healthy sleep practices, helpful thoughts about sleep, and ways to improve sleep. The sleep monitoring group received a sleep hygiene handout and completed sleep logs for the study duration. Sleep 101 participants endorsed fewer maladaptive beliefs and attitudes about sleep, increased sleep hygiene knowledge, and reduced sleep onset latency compared to the sleep monitoring participants. Brief psychoeducational courses may be a cost-effective way to alleviate current, and/or prevent future, sleep problems in young adults.

Emergency healthcare worker sleep, fatigue, and alertness behavior survey (SFAB): development and content validation of a survey tool

BACKGROUND

Workplace safety is a recognized concern in emergency medical services (EMS). Ambulance crashes are common and injury rates exceed that of the general working public. Fatigue and sleepiness during shift work pose a safety risk for patients and EMS workers. Changing EMS worker behaviors and improving alertness during shift work is hampered by a lack of instruments that reliably and accurately measure multidimensional beliefs and habits that predict alertness behavior.

OBJECTIVES

We sought to test the reliability and validity of a survey tool (the sleep, fatigue, and alertness behavior survey [SFAB]) designed to identify the cognitions of EMS workers concerning sleep, fatigue, and alertness behaviors during shift work.

METHODS

We operationalized the integrative model of behavioral prediction (IMBP) and developed a pool of 97 candidate items and sub-items to measure eight domains of the IMBP. Five sleep scientists judged the content validity of each item and a convenience sample of EMS workers completed a paper-based version of the SFAB. We retained items judged content valid by five sleep scientists and performed exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and tests of reliability and internal consistency. We identified a simple factor structure for each scale and calculated means and standard deviations for each item and scale.

RESULTS

We received 360 completed SFAB surveys from a convenience sample of 800 EMS workers attending two regional continuing education conferences (45% participation rate). Forty-seven candidate items and sub-items/options were removed following content validation, EFA, and CFA testing. Analyses revealed a simple factor structure for seven of eight domains and a final pool of 50 items and sub-items/options. Domains include: attitudes, normative beliefs, knowledge, salience, habits, environmental constraints, and intent. EFA tests of self-efficacy items failed to identify a simple factor structure. We retained two self-efficacy items based on Spearman-Brown correlation of 0.23 (p<0.0001).

CONCLUSIONS

Measurement of sleep, fatigue, and alertness behavior among EMS workers is challenging. We describe the development and psychometric testing of a survey tool that may be useful in a variety of applications addressing sleep, fatigue, and alertness behavior among EMS workers.

Health belief structural equation model predicting sleep behavior of employed college students

Adequate sleep comprising 7 to 8 hours per day is vital for health and effective functioning for all adults. The purpose of this study was to specify a health belief model to measure and predict the sleep behavior of employed college students. A 52-item instrument was developed with acceptable validity and reliability. A cross-sectional, convenience sample of 188 students was recruited for this study. Structural equation modeling was used to build models. The health belief model explained 34% of the variance in sleep behavior, with perceived severity, perceived barriers, cues to action, and self-efficacy identified as significant predictors.