Investigative fatigue: how sleep-circadian factors shape criminal investigations.

Investigating criminal complaints and identifying culprits to be prosecuted in the court of law is an essential process for law-enforcement and public safety. However, law-enforcement investigators operate under very challenging conditions due to stressful environments, understaffing, and public scrutiny, which factors into investigative errors (e.g. uncleared cases). This paper argues that one contributing factor to investigative failures involves sleep and circadian disruption of investigators themselves, known to be prevalent among law-enforcement. By focusing on investigative interviewing, this analysis illustrates how sleep and circadian disruption could impact investigations by considering three broad phases of (1) preparation, (2) information elicitation, and (3) assessment and corroboration. These phases are organized in a framework that outlines theory-informed pathways in need of empirical attention, with special focus on effort and decision-making processes critical to investigations. While existing evidence is limited, preliminary findings support some elements of investigative fatigue. The paper concludes by placing investigative fatigue in a broader context of investigative work while providing recommendations for future research throughout. This paper is part of the Sleep and Circadian Health in the Justice System Collection.

A novel approach to model cumulative stress: Area under the s-factor curve.

OBJECTIVE: Using a large longitudinal sample of adults from the Midlife in the United States (MIDUS) study, the present study extended a recently developed hierarchical model to determine how best to model the accumulation of stressors, and to determine whether the rate of change in stressors or traditional composite scores of stressors are stronger predictors of health outcomes. METHOD: We used factor analysis to estimate a stress-factor score and then, to operationalize the accumulation of stressors we examined five approaches to aggregating information about repeated exposures to multiple stressors. The predictive validity of these approaches was then assessed in relation to different health outcomes. RESULTS: The prediction of chronic conditions, body mass index, difficulty with activities of daily living, executive function, and episodic memory later in life was strongest when the accumulation of stressors was modeled using total area under the curve (AUC) of estimated factor scores, compared to composite scores that have traditionally been used in studies of cumulative stress, as well as linear rates of change. CONCLUSIONS: Like endogenous, biological markers of stress reactivity, AUC for individual trajectories of self-reported stressors shows promise as a data reduction technique to model the accumulation of stressors in longitudinal studies. Overall, our results indicate that considering different quantitative models is critical to understanding the sequelae and predictive power of psychosocial stressors from midlife to late adulthood.

Linking genetic foundations of sleep disturbances to personality traits: a study of mid-life twins.

Risk of sleep disturbances depends on individuals' personality, and a large body of evidence indicates that individuals prone to neuroticism, impulsivity, and (low) extraversion are more likely to experience them. Origins of these associations are unclear, but common genetic background may play an important role. Participants included 405 twin pairs (mean age of 54 years; 59% female) from the National Survey of Midlife Development in the United States (MIDUS) who reported on their personality traits (broad and specific), as well as sleep disturbances (problems with falling asleep, staying asleep, waking early, and feeling unrested). Uni- and bivariate biometric decompositions evaluated contributions of genetic and environmental factors to associations between personality and poor sleep, as well as unique contributions from individual traits. Neuroticism, extraversion, conscientiousness, and aggressiveness were the strongest phenotypic predictors of poor sleep. Genetic sources of covariance were about twice as large as non-shared environmental sources, and only shared genetic background accounted for links between aggressiveness and poor sleep. Neuroticism and extraversion accounted for most of the genetic overlap between personality and sleep disturbances. The findings shed light on developmental antecedents of ties between personality and poor sleep, suggesting a larger role of common genetic background than idiosyncratic life experiences. The results also suggest that emotion-related traits play the most important role for poor sleep, compared to other personality traits, and may partially account for genetic associations with other traits.

How emotions impact sleep: A quantitative review of experiments.

Although sleep and emotional processes are recognized as mutually dependent, the causal impact of emotions on sleep has been comparatively neglected. To appraise evidence for the causal influence of emotions on sleep, a meta-analysis of the existing experimental literature evaluated the strength, form, and context of experimental effects of emotion inductions on sleep parameters (k = 31). Quality of experiments was evaluated, and theoretically-relevant features were extracted and examined as moderating factors of observed effects (i.e., sleep parameter, design, sleep context, types of emotion inductions and emotions). Random-effect models were used to aggregate effects for each sleep parameter, while-mixed effect models examined moderators. There was a significant impact of emotion inductions on delayed sleep onset latency (D = 3.36 min, 95%CI [1.78, 4.94], g = 0.53), but not other parameters. There was little evidence of publication bias regarding sleep-onset latency effect, the studies overall were heterogeneous, sometimes of limited methodological quality, and could only detect moderate-to-large impacts. The findings supported the hypothesis that negative emotions delayed sleep onset, but evidence regarding other sleep parameters was inconclusive. The results call for more targeted investigation to disambiguate distinct features of emotions and their import for sleep.

The impact of alertness vs. fatigue on interrogators in an actigraphic study of field investigations.

Investigative interviews (e.g., interrogations) are a critical component of criminal, military, and civil investigations. However, how levels of alertness (vs. sleepiness) of the interviewer impact outcomes of actual interviews is unknown. To this end, the current study tracked daily fluctuations in alertness among professional criminal investigators to predict their daily experiences with actual field interviews. Fifty law-enforcement investigators wore a sleep-activity tracker for two weeks while keeping a daily-diary of investigative interviews conducted in the field. For each interview, the investigators indicated how well they established rapport with the subject, how much resistance they encountered, how well they maintained their own focus and composure, and the overall utility of intelligence obtained. Daily alertness was biomathematically modeled from actigraphic sleep duration and continuity estimates and used to predict interview characteristics. Investigators consistently reported more difficulties maintaining their focus and composure as well as encountering more subject resistance during interviews on days with lower alertness. Better interview outcomes were also reported on days with subjectively better sleep, while findings were generally robust to inclusion of covariates. The findings implicate adequate sleep as a modifiable fitness factor for collectors of human intelligence.

Sleep and interrogation: does losing sleep impact criminal history disclosure?

STUDY OBJECTIVES: Despite centuries of using sleep deprivation to interrogate, there is virtually no scientific evidence on how sleep shapes behavior within interrogation settings. To evaluate the impact of sleeplessness on participants' behavior during investigative interviews, an experimental study examined the impact of sleep restriction on disclosure of past illegal behavior. METHODS: Healthy participants from a university community (N = 143) either maintained or curbed their sleep (up to 4 h a night) across 2 days with sleep monitored via actigraphy. They were then asked to disclose past illegal acts and interviewed about them. Next, they were reinterviewed following an example of a detailed memory account (model statement). Disclosures were blindly coded for quantity and quality by two independent raters. RESULTS: Sleep-restricted individuals reported similar offenses, but less information during their disclosure with slightly less precision. Model statement increased disclosure but did not reduce the inhibiting impact of sleep loss. Mediation analysis confirmed the causal role of sleep as responsible for experimental differences in amount of information, and participants' reports suggested impaired motivation to recall information played a role. CONCLUSIONS: The findings suggest that even moderate sleep loss can inhibit criminal disclosure during interviews, point to motivational factors as responsible, and suggest investigators should be cautious when interrogating sleepy participants.

The Iowa Resistance to Sleeplessness Test (iREST).

INTRODUCTION: Despite considerable individual differences in the vulnerability vs resistance to effects of sleep loss, there is no practical self-report tool to predict these differences across domains and only limited evidence whether they are general or domain-specific. To address this need, we developed the Iowa Resistance to Sleeplessness Test (iREST). METHODS: A construct-validation approach was employed. During the substantive phase, self-report items were generated to capture vulnerability vs resistance to sleep loss across various psycho-behavioral domains. During the structural phase, analyses identified the underlying factor structure and examined reliability of individual scale scores. Finally, the external phase used convergent and discriminant analyses to evaluate the factors in light of related sleep and personality measures, and tested criterion validity of the scale scores in predicting neurocognitive and affective responses to experimental sleep restriction (Total N = 1018). RESULTS: Analyses yielded discriminant and reliable scale scores that reflected resistance across cognitive, affective, and somatic responses, while also marking a general resistance factor. Convergent and discriminant probes revealed moderate associations of scale scores with daytime sleepiness and sleep-related distress, but small to negligible associations with other measures of sleep behavior, perceptions, and personality. Critically, criterion analyses yielded validity evidence for predicting cognitive and affective impairments in response to experimental sleep loss. CONCLUSION: Scores on the iREST show validity in capturing cognitive and affective resistance to moderate sleep loss among young adults, supporting its further exploration as a practical tool for predicting behavior due to lost sleep.

Sleep, emotional supportiveness, and socially straining behavior: A multidimensional approach.

OBJECTIVE: To determine the associations of emotional supportiveness toward others and engagement in socially straining (negative) behavior toward others across close relationships with multiple dimensions of sleep health. DESIGN: Cross-sectional. SETTING: Community sample from the Midlife in the United States study (MIDUS). PARTICIPANTS: Four-hundred and thirty-five participants from the MIDUS II Biomarker Project aged 35-85. MEASUREMENTS: Self-report assessments of being emotionally supportive and engaging in socially straining behavior toward friends, family, and romantic partners; self-report assessments of demographic and other psychological and health variables; 7 nights of wrist actigraphy and sleep diary. RESULTS: Being emotionally supportive and engagement in socially straining behavior were associated with multiple dimensions of sleep health. The inclusion of demographic, health, and psychological covariates reduced but did not eliminate these associations. Based on analyses adjusting for these covariates, being more emotionally supportive toward close others was most robustly related to higher daytime alertness, and engaging in more socially straining behavior was most robustly related to less sleep regularity, quality, and efficiency. CONCLUSIONS: These findings implicate sleep health as a substantive correlate of being emotionally supportive toward and imposing social strain on others. They show that both daytime and nighttime dimensions of sleep health are important for social functioning across close relationships and highlight the need to examine both positive and negative aspects of relationships in relation to sleep.

Associations between screen time and short sleep duration among adolescents varies by media type: evidence from a cohort study.

STUDY OBJECTIVES: Different types of electronic screen media have repeatedly been linked to impaired sleep; yet, how different uses of electronic media are linked to sleep has received much less attention. Currently, the role of chronotype in these associations is understudied. To address these gaps, this study examined how different uses of screen media are linked to sleep, and whether these associations were accounted for or differed across chronotype. METHODS: Data were from 11,361 children aged 13 to 15 from the United Kingdom who participated in the 2015 wave of the Millennium Cohort Study. RESULTS: Heavy use of screen media was associated with shorter sleep duration, longer sleep latency, and more mid-sleep awakenings. The strongest associations emerged for using screen media to engage in social media or to use the internet. Overall, these associations were weakened, but remained after controlling for chronotype and tended to be the strongest amongst robins (children with an intermediate chronotype). CONCLUSIONS: Spending too much time on electronic devices is associated with multiple dimensions of impaired sleep, especially if this time on devices is used for social media or surfing the internet. Chronotype does not account for the associations between screen media and sleep and can be used to identify children who may be particularly susceptible to the effects of screen media on sleep.

Changes in sleep difficulties among the U.S. population from 2013 to 2017: results from the National Health Interview Survey.

OBJECTIVES: This study sought to evaluate how sleep difficulties have changed over time and to evaluate if these changes relate to changes in sleep duration. DESIGN: National Health Interview Survey administered annually from 2013 to 2017 by the National Center for Health Statistics. SETTING: U.S. national adult population. PARTICIPANTS: 164,696 U.S. adults sampled across the nation using multistage area probability design. MEASUREMENTS: Self-reports of difficulties falling asleep, trouble staying asleep, use of sleep medication, feelings of restorative sleep, and sleep duration collected each year. RESULTS: From 2013 to 2017, the prevalence of reporting any days with difficulty falling asleep (B = .01, p <.01), trouble staying asleep (B = .02, p < .001), increased, yet waking feeling rested also increased (B = .01, p = .004), while average sleep duration decreased (B = -.02, p < .001). Moreover, changes in these sleep difficulties were independent of sleep duration and primarily occurred in healthy sleepers. CONCLUSIONS: Multiple aspects of sleep difficulties show an undesirable trajectory in the U.S. adult population. Moreover, these trends appear to be independent of sleep duration and are primarily occurring in healthy sleepers. Future research should simultaneously consider how multiple aspects of sleep are changing and further examine the sources of these changes.

Associations between screen time and sleep duration are primarily driven by portable electronic devices: evidence from a population-based study of U.S. children ages 0-17.

STUDY OBJECTIVES: Excessive screen time in child and adolescent populations is associated with short sleep duration, but the unique effects of portable vs. non-portable electronic devices has received little attention. Moreover, it is unknown whether the effects of these devices change across childhood. To address these gaps, the current study compared the association of portable vs. non-portable electronic devices with sleep duration throughout childhood. METHODS: Data were from a 2016 national survey of the caregivers of 43,755 children and adolescents ages 0-17 administered by the U.S. Census Bureau. RESULTS: Children and adolescents who spent more time on screens slept fewer hours and were more likely to get insufficient sleep. In multivariate regressions including time spent on TV and video game consoles and portable electronic devices, associations with sleep duration were primarily due to portable electronic devices. These results remained when demographic variables, diagnoses of anxiety or depression, physical activity, and BMI were included in the model. Moreover, time spent using both portable and non-portable devices was important for sleep duration in children under age 10, but the importance of non-portable devices diminished in children over 10. CONCLUSIONS: Spending multiple hours a day on electronic devices is associated with shorter sleep duration across all ages. However, portable electronic devices have a stronger association with sleep duration than non-portable electronic screens, with non-portable devices less relevant for sleep duration in children over age 10. The findings suggest that future interventions should uniquely target portable electronic devices while also accounting for the age group of children targeted.

Sleepiness and Behavioral Risk-Taking: Do Sleepy People Take More or Less Risk?

BACKGROUND: Although sleep loss has been implicated in risk-taking behavior, it is unclear how individuals' current propensity to fall asleep, known as sleepiness, influences risk-taking. Because sleepiness is not only driven by recent sleep but also by factors such as circadian rhythm and current stimulation, it may be an important contributor to risk-taking as it reflects the more immediate sleep-wake state. PARTICIPANTS: One hundred thirty participants were recruited from a large Midwestern U.S. university. METHODS: Participants completed a short personality survey, reported their current sleepiness on the Stanford Sleepiness Scale, and then completed the Balloon Analog Risk Task, a computerized risk-taking measure in which participants earned real money for their performance. RESULTS: There was little support for a linear relation between sleepiness and risk-taking, but the evidence indicated a robust curvilinear relation. Even after controlling for important individual differences in sleep and risk-taking, participants who were moderately sleepy took longer to complete the risk-taking task, pumped balloons more, and exploded more balloons than those who were either low or high on sleepiness. CONCLUSIONS: The curvilinear relation between sleepiness and risk-taking sheds light on inconsistencies in prior findings linking sleepiness and sleep loss to risk-taking behavior. Moreover, current sleepiness appears to have unique implications for risk-taking.

Does Stress Explain the Effect of Sleep on Self-Control Difficulties? A Month-Long Daily Diary Study.

Insufficient sleep is linked to increased stress and suboptimal self-control; however, no studies have examined stress as a reason for why sleep affects self-control. Moreover, it is unknown if there are individual differences that make people vulnerable to this dynamic. Daily diary entries from 212 university students across 30 days were used in a multilevel path model examining if stress explained how prior night sleep affected next-day self-control difficulties and exploring if individual differences in sleep duration, stress, or self-control qualified this effect. Increased stress partially mediated of the effect of reduced sleep duration on increased next-day self-control difficulty. Moreover, short sleep increased next-day stress more for individuals with higher typical stress. Daytime stress especially amplified self-control difficulty for individuals with shorter typical sleep duration. Findings implicate stress as a substantial factor in how sleep loss undermines self-control and identify individuals particularly susceptible to this effect.

Sleepy anger: Restricted sleep amplifies angry feelings.

Despite extensive ties between sleep disruption, anger, and aggression, it is unclear whether sleep loss plays a causal role in shaping anger. On one hand, negative affect and distress frequently follow curtailed sleep, suggesting increased anger responses. On the other hand, fatigue and withdrawal also follow, potentially muting anger. To examine these competing possibilities, 142 community residents were randomly assigned to either maintain or restrict their sleep over 2 days. Before and after, these participants rated their anger and affect throughout a product-rating task alongside aversive noise. Sleep restriction universally intensified anger, reversing adaptation trends in which anger diminished with repeated exposure to noise. Negative affect followed similar patterns, and subjective sleepiness mediated most of the experimental effects on anger. These findings highlight important consequences of everyday sleep loss on anger and implicate sleepiness in dysregulation of anger and hedonic adaptation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Subjective social status and health: A meta-analysis of community and society ladders.

OBJECTIVE: To derive a robust estimate of the relation between health and subjective status in society versus subjective status in one's community, and to identify moderators of these effects, using meta-analysis. METHOD: Thirty-eight independent studies, which included both subjective status ladders and collectively provided data from 142,836 participants, met criteria for inclusion. Information on sample characteristics (e.g., age, gender, continent), methodological factors (e.g., scale type, methodological quality), and statistical factors (e.g., model type, inclusion of objective socioeconomic status covariates) were extracted from each study. Random-effects meta-analysis was used to aggregate data across studies. RESULTS: Both the community ladder and the society ladder yielded small but statistically significant associations with health behavior (r = .06 and r = .06), mental health (r = .13 and r = .11), physical health (r = .05 and r = .04), and self-rated health (r = .08 and r = .09) that were comparable in size and were qualified in a similar way by the type of health outcome, sample age, continent, and methodological quality. Additionally, community and society ladders remained significantly associated with health both when considered simultaneously and following the inclusion of objective socioeconomic status covariates. CONCLUSIONS: This meta-analysis is the first to establish a unique association of the community ladder with health. It also supports social comparison theories highlighting the importance of comparisons with proximal others and may promote greater use of the community ladder in future research. (PsycINFO Database Record

Withdrawn and wired: Problematic internet use accounts for the link of neurotic withdrawal to sleep disturbances.

Although neuroticism is the strongest personality predictor of sleep disturbance, it is not clear whether dysphoric (Withdrawal) or angry (Volatility) aspect of neuroticism is more important and whether problematic technology use plays an intervening role. To this end, this study examined distinct contributions of neurotic withdrawal and volatility in predicting self-reported sleep disturbance while testing the mediating role of problematic internet use. Methods: One-hundred and fourty-three college students completed an online survey that included measures of neuroticism, sleep quality, and problematic internet use. Results: Although both aspects of neuroticism predicted poor sleep, Withdrawal emerged as a stronger and the only unique predictor. Furthermore, problematic internet use explained a portion of Withdrawal's relationship to worse sleep, especially nighttime and daytime disturbances. Discussion: The findings suggest that dysphoric rather than angry features of neuroticism are more important for sleep problems and that the problematic use of modern technology may be an important contributing factor.

Personality and sleep quality: Evidence from four prospective studies.

OBJECTIVE: The present study examined the longitudinal association between personality traits and sleep quality in 4 samples of middle-aged and older adults. METHOD: Participants (N > 22,000) were adults aged 30 to 107 years old from the Wisconsin Longitudinal Study (WLS), the Midlife in the United States Study (MIDUS), the Health and Retirement Study (HRS), and the Midlife in Japan Study (MIDJA). Personality and sleep quality were assessed at baseline and again 4 to 10 years later. RESULTS: Scoring lower on neuroticism and higher on extraversion was associated with better sleep quality at baseline and over time, with effect sizes larger than those of demographic factors. Low conscientiousness was associated with a worsening of sleep quality over time. Openness and agreeableness were unrelated to sleep quality. Poor sleep quality at baseline was associated with steeper declines in extraversion, agreeableness, and conscientiousness and a smaller decrease in neuroticism over time. CONCLUSION: Replicable findings across samples support longitudinal associations between personality and sleep quality. This study identified specific personality traits that are associated with poor and worsening sleep quality, and substantiated previous findings that poor sleep quality is associated with detrimental personality trajectories. (PsycINFO Database Record

The Narcissism Spectrum Model: A Synthetic View of Narcissistic Personality.

The narcissism spectrum model synthesizes extensive personality, social-psychological, and clinical evidence, building on existing knowledge about narcissistic grandiosity and vulnerability to reveal a view of narcissism that respects its clinical origins, embraces the diversity and complexity of its expression, and reflects extensive scientific evidence about the continuity between normal and abnormal personality expression. Critically, the proposed model addresses three key, inter-related problems that have plagued narcissism scholarship for more than a century. These problems can be summarized as follows: (a) What are the key features of narcissism? (b) How are they organized and related to each other? and (c) Why are they organized that way, that is, what accounts for their relationships? By conceptualizing narcissistic traits as manifested in transactional processes between individuals and their social environments, the model enables integration of existing theories of narcissism and thus provides a compelling perspective for future examination of narcissism and its developmental pathways.

Decreases in self-reported sleep duration among U.S. adolescents 2009-2015 and association with new media screen time.

STUDY OBJECTIVES: Insufficient sleep among adolescents carries significant health risks, making it important to determine social factors that change sleep duration. We sought to determine whether the self-reported sleep duration of U.S. adolescents changed between 2009 and 2015 and examine whether new media screen time (relative to other factors) might be responsible for changes in sleep. METHODS: We drew from yearly, nationally representative surveys of sleep duration and time use among adolescents conducted since 1991 (Monitoring the Future) and 2007 (Youth Risk Behavior Surveillance System of the Centers for Disease Control; total N = 369,595). RESULTS: Compared to 2009, adolescents in 2015 were 16%-17% more likely to report sleeping less than 7 h a night on most nights, with an increase in short sleep duration after 2011-2013. New media screen time (electronic device use, social media, and reading news online) increased over this time period and was associated with increased odds of short sleep duration, with a clear exposure-response relationship for electronic devices after 2 or more hours of use per day. Other activities associated with short sleep duration, such as homework time, working for pay, and TV watching, were relatively stable or reduced over this time period, making it unlikely that these activities caused the sudden increase in short sleep duration. CONCLUSIONS: Increased new media screen time may be involved in the recent increases (from 35% to 41% and from 37% to 43%) in short sleep among adolescents. Public health interventions should consider electronic device use as a target of intervention to improve adolescent health.

Does personality predict health and well-being? A metasynthesis.

OBJECTIVE: To derive a robust and comprehensive estimate of the overall relation between Big Five personality traits and health variables using metasynthesis (i.e., second-order meta-analysis). METHOD: Thirty-six meta-analyses, which collectively provided 150 meta-analytic effects from over 500,000 participants, met criteria for inclusion in the metasynthesis. Information on methodological quality as well as the type of health outcome, unreliability adjustment, population sampled, health outcome source, personality source, and research design was extracted from each meta-analysis. An unweighted model was used to aggregate data across meta-analyses. RESULTS: When entered simultaneously, the Big Five traits were moderately associated with overall health (multiple R = .35). Personality-health relations were larger when examining mental health outcomes than physical health outcomes or health-related behaviors and when researchers adjusted for measurement unreliability, used self-report as opposed to other-report Big Five scales, or focused on clinical as opposed to nonclinical samples. Further, effects were larger among agreeableness, conscientiousness, and neuroticism than extraversion or openness to experience. CONCLUSIONS: This metasynthesis provides among the most compelling evidence to date that personality predicts overall health and well-being. In addition, it may inform research on the mechanisms by which personality impacts health as well as research on the structure of personality. (PsycINFO Database Record