Poor sleep and reactive aggression: Results from a national sample of African American adults

Alterations in the fecal microbiota of methamphetamine users with bad sleep quality during abstinence

BACKGROUND

Methamphetamine (MA) abuse has resulted in a plethora of social issues. Sleep disturbance is a prominent issue about MA addiction, which serve as a risk factor for relapse, and the gut microbiota could play an important role in the pathophysiological mechanisms of sleep disturbances. Therefore, improving sleep quality can be beneficial for treating methamphetamine addiction, and interventions addressing the gut microbiota may represent a promising approach.

METHOD

We recruited 70 MA users to investigate the associations between sleep quality and fecal microbiota by the Pittsburgh Sleep Quality Index (PSQI), which was divided into MA-GS (PSQI score < 7, MA users with good sleep quality, n = 49) and MA-BS group (PSQI score ≥ 7, MA users with bad sleep quality, n = 21). In addition, we compared the gut microbiota between the MA-GS and healthy control (HC, n = 38) groups. 16S rRNA sequencing was applied to identify the gut bacteria.

RESULT

The study revealed that the relative abundances of the Thermoanaerobacterales at the order level differed between the MA-GS and MA-BS groups. Additionally, a positive correlation was found between the relative abundance of the genus Sutterella and daytime dysfunction. Furthermore, comparisons between MA users and HCs revealed differences in beta diversity and relative abundances of various bacterial taxa.

CONCLUSION

In conclusion, the study investigated alterations in the gut microbiota among MA users. Furthermore, we demonstrated that the genus Sutterella changes may be associated with daytime dysfunction, suggesting that the genus Sutterella may be a biomarker for bad sleep quality in MA users.

Predictors of Symptoms of Depression Among Black Seventh-Day Adventists in the United States

The purpose of this study was to estimate a regression model that best predict symptoms of depression among Black Seventh-day Adventists in the United States. The sample (n = 3,570) was drawn from the Biopsychosocial Religion and Health Study, a sub-study of the larger Adventist Health Study-2 consisting of a random sample (n = 10,998) of Adventists. The results of the study showed that poor sleep quality, hostility, stress, and perceived discrimination were all predictors of symptoms of depression, while religious involvement decreased the likelihood of experiencing those symptoms.

Examining the longitudinal direct and indirect relationships between early sleep (quality and duration) and later cyberbullying perpetration in emerging adults

OBJECTIVES

Researchers have recently posited the importance of sleep as a predictor of cyberbullying perpetration. We aimed to fill several theoretical gaps in the literature. First, most of the research focuses on sleep quality and not duration. Second, most of the studies are correlational, limiting causal claims. Third, few studies have tested the theoretical mediators (anger, hostility, and self-control) in the relationship between sleep (quality and duration) and cyberbullying.

METHODS

We employed short-term three-wave longitudinal study with US emerging adults (N = 182). At each wave participants completed measures of cyberbullying perpetration, anger, hostility, self-control, sleep quality, and sleep duration.

RESULTS

Findings from our longitudinal path model showed that Wave 2 anger was the only significant mediator between Wave 1 sleep duration (not quality) and Wave 3 cyberbullying.

CONCLUSIONS

We supported past research focused on the mediating role of anger in the relationship between sleep and cyberbullying, and theory that explicates the importance of mediators. Moreover, we contributed to this literature by employing a longitudinal design, assessing mediators, focusing on sleep duration and quality, and using an emerging adult population.

Stress indicators in minorities with multiple sclerosis

Black Americans with multiple sclerosis (MS) experience higher levels of disease-related disability compared to White Americans (Marrie et al., 2006). Comorbidities such as depression and anxiety, which are underdiagnosed and undertreated in this population, negatively impact quality of life and treatment outcomes for people living with multiple sclerosis (plwMS) (D'Alisa et al., 2006; Marrie et al., 2009; Stepleman et al., 2014). Acts of discrimination toward Black Americans is associated with stress, which is a contributing factor for depression (Carter, 2017; Nadimpalli, 2015; Williams and Mohammed, 2009). This study compared the severity of multiple sclerosis symptoms amongst Black Americans and White Americans, and whether worsened MS symptoms in Black Americans are associated with increased experiences of discrimination. Data was analyzed from 143 plwMS in the Stress Indicators in Minorities with Multiple Sclerosis (SiMMS) study. Using the Mann-Whitney U test, significant differences were found on the NIH Emotional Distress - Anxiety measure (U = 1466.500, p = 0.045) and NIH Sleep Disturbance measure (U = 1467.000, p = 0.044) between the Black participant and the White participant groups. Discrimination was significantly correlated with both NIH Emotional Distress - Anxiety (r = 0.677, p < .001) and NIH Sleep Disturbance (r = 0.446, p = .007) in Black MS individuals. Additionally, several physiological condition and psychological outcome measures were correlated with the NIH Emotional Distress - Anxiety and NIH Sleep Disturbance measures. This study contributes to literature highlighting the negative impacts of discrimination and race related stress on the physical and mental health of Black Americans.

Psychological distress mediates the connection between sleep deprivation and physical fighting in adolescents

Lack of sleep is common in adolescence, and represents an important threat to adolescents' well-being, academic commitment, and general health. It also has significant behavioral consequences through an increased likelihood of interpersonal violence. Previous studies have demonstrated an association between aggressive behavior and lack of sleep, but the psychological mediators remain completely unexplored. Grounded in the General Aggression Model, we investigated the affective pathway as one of the potential mechanisms linking lack of sleep and aggression. We hypothesized and showed that psychological distress is an intermediary phenomenon linking lack of sleep and physical aggression. Based on a school sample of 11,912 participants (median age: 14.5), we observed that 23.7% of the young people admitted having been involved in physical fighting on one or more occasions, and that 25.81% were in sleep debt when referred for medical assessment. We analyzed the relationship between sleep duration and physical fighting and the mediating link of psychological distress by performing multiple regressions in the components' paths. The results showed that the adolescents' amount of sleep appeared to be a significant predictor of physical fighting, and that this relationship was partially mediated by psychological distress. These results are consistent with the General Aggression Model, and represent the first empirical confirmation that psychological distress symptoms partially mediate the connection between lack of sleep and physical aggression.

Smartphone Addiction and Checking Behaviors Predict Aggression: A Structural Equation Modeling Approach

Despite the potential risks of excessive smartphone use for maladaptive outcomes, the link between smartphone use and aggression remains less understood. Furthermore, prior findings are inconclusive due to a narrow focus on limited aspects of smartphone use (e.g., screen time) and reliance on self-reported assessments of smartphone use. Therefore, using objective measures of smartphone use, we sought to examine the associations between several key indices of smartphone use—screen time, checking behaviors, and addictive tendency—and multifaceted aggression (i.e., confrontation, anger, and hostility). In a cross-sectional study, we administered a series of questionnaires assessing aggressive tendencies (i.e., The Aggression Questionnaire) and various aspects of smartphone use (N = 253, M_age = 21.8 years, female = 73.2%). Using structural equation modeling, we found that smartphone checking and addictive smartphone use predicted only hostility. In contrast, both objective and subjective measures of screen time did not predict any facets of aggression. These results highlight differing impacts of various indices of smartphone use on aggression and imply that excessive checking and addictive smartphone use are problematic smartphone-use behaviors that require more targeted interventions with respect to hostility.

Quality over quantity? Using sibling comparisons to examine relations between sleep quality, sleep duration, and delinquency

RATIONALE

A growing body of research suggests that adolescents with problematic sleep patterns are more likely to engage in externalizing and delinquent behaviors. Few studies, however, have examined the role of between- and within-family effects on this association to establish whether poor sleep is related to delinquency after controlling for familial confounding.

OBJECTIVE

The current study examines the relationship between self-reported restless sleep, sleep duration, and delinquency from ages 16-19 in a population-based sample of U.S. youth.

METHODS

Data from full siblings from the Children and Young Adult sample of the National Longitudinal Survey of Youth (1979) (CNLSY) are analyzed. Negative binomial regression models and sibling comparisons are estimated to assess between- and within-family effects of sleep on delinquency during ages 16-17. Sibling comparison cross-lagged models are then fitted to the data to examine whether sibling differences in sleep are related to sibling differences in changes in delinquency from ages 16-19.

RESULTS

Siblings with higher levels of self-reported restless sleep were more likely to report higher levels of delinquency at ages 16-17, net of observable covariates and unobservable familial confounders. Sibling differences in restless sleep at ages 16-17 were also associated with increases in delinquency at ages 18-19 after controlling for familial confounding and temporal stability in both sleep and delinquent behavior.

CONCLUSIONS

Findings suggest that perhaps sleep quality, rather than sleep duration, should be the primary target for intervention/prevention programming efforts for adolescent delinquency.

The association of sleep quality and aggression: A systematic review and meta-analysis of observational studies

Poor sleep quality is closely related to aggression, but despite the promise of new therapeutic possibilities, a systematic synthesis of observational research on the association between sleep quality and aggression is lacking. This systematic review and meta-analysis examined the association between sleep quality and aggression, using the academic databases PubMed and PsycINFO. Subjective and objective measures of sleep quality were included, as well as multiple measures of aggression, assessing aggressive and externalizing behavior, anger, hostility and irritability. Ninety-two observational articles, containing 96 studies, encompassing a total of 58.154 children, adolescents and adults were sourced out of 7161 references identified. Methodological quality was moderate or strong in 76% of studies. Data for meta-analysis was available from 74 studies. Poorer sleep quality was associated with higher aggression in 80.8% of studies. Pooled results showed a correlation of 0.28 (95%CI 0.25-0.31; I² = 90.1%) and odds ratio of 3.61 (95%CI 1.13-11.51; I² = 88.3%). Effect estimates and heterogeneity varied according to population type and measurement instruments, but not according to article quality or age group. Our findings confirm that poor sleep quality is consistently associated with higher aggression. As most evidence is cross-sectional, more prospective and high-quality experimental evidence is required to elucidate cause-effect and optimize prevention and treatment of aggression.

Relationships between insomnia and alcohol and cocaine use frequency with aggression among veterans engaged in substance use treatment

BACKGROUND

Veterans with substance use problems have rates of partner and non-partner violence that typically exceed the general population. Sleep problems may exacerbate violence and maintain addictive behaviors in non-veterans, but requires study in veterans. Therefore, we examine the interrelationships between substance use, insomnia, and violence in veterans.

METHODS

Veterans (N = 762) screened for a randomized controlled trial at veterans affairs mental health and substance use clinics. Participants completed modified Conflict Tactics Scales to quantify past-year violence and the Insomnia Symptom Questionnaire to assess sleep disturbance. We evaluated associations between substance use and sleep in predicting the target of aggression (partner or non-partner) and degree of violence (aggression or injury) using binomial logistic regressions.

RESULTS

Half of participants endorsed symptoms suggestive of insomnia, 23.2% endorsed physical aggression toward partners (PA-P) and 33.9% non-partners (PA-NP), and 9.7% endorsed physical injury of partners (PI-P) and 17.6% of non-partners (PI-NP). Regressions revealed significant models for PA-P, PA-NP, and PI-NP, whereas the PI-P model was not significant. PA-P was higher among non-Caucasian race and older veterans. PA-NP was more common in those with insomnia and increased with frequency of cocaine use. Insomnia moderated the relationship between cocaine use and PA-NP; there was a weaker relationship between cocaine use and PA-NP in those with insomnia. PI-NP was more common with higher frequency of alcohol and cocaine use, and in those with insomnia.

CONCLUSIONS

This study finds sleep disturbances are meaningful predictors of violence among veterans with differential relationships with aggression severity, victims, and substance use concurrence.

Poor sleep quality at baseline is associated with increased aggression over one year in forensic psychiatric patients

OBJECTIVE

In forensic psychiatric patients, sleep problems as well as impulsivity and aggression are highly prevalent, yet studies on their association over time are lacking. This study investigates the association between sleep quality and changes in impulsivity and aggression in forensic psychiatric patients over one year.

METHODS

Data were drawn from an ongoing prospective observational study in adult forensic psychiatric patients admitted to a forensic treatment facility between October 2006 and January 2018. Validated self-reports and observational instruments were used to assess sleep quality, impulsivity and aggression upon admission to the hospital and after one year. Linear regression analyses were performed to examine the association between sleep quality, impulsivity and aggression. All models were adjusted for baseline values of outcome measures, demographic features and general psychopathology.

RESULTS

Data from 83 men (age 37.7 ± 11.7 years) with completed consecutive measurements were analyzed. Poor sleep quality was associated with increased self-reported aggression (β = 1.08; 95% CI, 0.38-1.78). This association was positively confounded by general psychopathology, indicating that sleep quality is specifically related to self-reported aggression instead of being part of general psychopathology (adjusted β = 1.18; 95% CI, 0.39-1.97). Poor sleep quality was not associated with changes in self-reported impulsivity, clinician-rated impulsivity or clinician-rated hostility in this population.

CONCLUSION

Poor sleep quality was associated with an increase in self-reported aggression over one year in male forensic psychiatric patients. Early evaluation and treatment of sleep problems in (forensic) psychiatric patients may play an important role in reducing the risk of aggressive behavior.

Melatonin pretreatment attenuates acute methamphetamine-induced aggression in male ICR mice

Aggression is one of the symptoms of methamphetamine (MA) use and withdrawal, which can exacerbate MA addiction and relapse. Many studies have demonstrated that poor sleep is significantly associated with aggression. Melatonin has been indicated to be effective in treating sleep disorders induced by MA, and it can also protect neuronal cells against MA-induced neurotoxicity. However, the underlying effects of melatonin on MA-reduced aggression remain unclarified. This study was designed to evaluate the effects of melatonin on acute MA-induced aggressive behavior in male ICR mice and the effects on neurotransmitters related to aggression. Fifty male ICR mice were randomly assigned to control and treatment groups pretreated with MA (3 mg/kg) or melatonin (2.5, 5, 10 mg/kg) plus MA. Aggressive behaviors were observed through isolation-induced aggression in the resident-intruder model. High-performance liquid chromatography combined with electrochemical detection (HPLC-ECD) was used to anatomize the levels of dopamine (DA) and its metabolites, 3,4-dihydroxyphenyl acetic acid (DOPAC) and homovanillic acid (HVA), and the concentrations of serotonin (5-HT) and its metabolite, 5-hydroxyindoleacetic acid (5-HIAA), in the hippocampus involved in behavior processing. The results showed that acute MA administration decreased latency to initial attacks and thereby increased the number and total duration of attacks. Furthermore, HVA level as well as 5-HIAA and 5-HT turnover estimated by 5-HIAA/5-HT ratios declined compared to those in the vehicle group. The medium melatonin pretreatment dose (5 mg/kg) could significantly reverse acute MA-induced aggressive behavior in the form of prolonging latency to initial attacks and thereby attenuating the number of attacks and total duration of attacks. HVA and 5-HIAA levels, 5-HT turnover estimated by 5-HIAA/5-HT ratios, and DA turnover estimated by HVA/DA ratios and (DOPAC + HVA)/DA ratios were elevated compared to those in the MA group. These results indicate that the DA and 5-HT systems are involved in the processes of MA-induced aggressive behaviors and that melatonin has the capacity to reverse MA-induced aggressive behaviors.

Sour sleep, sweet revenge? Aggressive pleasure as a potential mechanism underlying poor sleep quality's link to aggression

Sleep quality is a critical component of successful human functioning. Poor sleep quality is associated with aggressive behavior, yet the psychological mechanisms that drive this effect are incompletely understood. We tested the prediction that the association between poor sleep quality and aggression would be explained, in part, by a magnified experience of positive affect during aggression. We conducted 2 cross-sectional studies (Study 1, N = 388; Study 2, N = 317) and a third preregistered study (N = 379), which tested for mediation across 2 waves that were separated by 14-42 days. Across all 3 studies, we replicated the positive association between poor sleep quality and aggression. However, we did not observe compelling or consistent evidence that poor sleep quality is linked to greater positive affect during aggression. Such aggressive pleasure was temporally stable and predicted subsequent increases in aggressive behavior. These findings support a reinforcement model of aggressive affect, in which the pleasure of aggression promotes greater aggression over time-perhaps explaining why some individuals are more dispositionally aggressive than others. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Effects of experimental sleep deprivation on aggressive, sexual and maternal behaviour in animals: a systematic review protocol

Objective

Because of the relevance for the research on sleep deprivation and human behaviour, many preclinical studies have been conducted on aggressive, sexual and maternal behaviours in this field. Considering the available data and the complexity of the factors involved, the most appropriate way to summarise the effects of sleep deprivation on these behaviours is through systematic reviews and meta-analyses. This article describes the protocol for three independent systematic reviews and meta-analyses, evaluating the effects of sleep deprivation on aggressive, sexual and maternal behaviours in animals.

Search strategy

A bibliographic search will be performed in four databases: Pubmed, Scopus, Web of Science and Psychinfo, searching for three domains: sleep deprivation (as the intervention), animals (as the population) and behaviour (as the outcome).

Screening and annotation

Titles and abstracts will first be screened, followed by analysis of the full text and data extraction.

Data management and reporting

SYstematic Review Centre for Laboratory Animal Experimentation ’s risk of bias tool will be used to evaluate risk of bias; visual analysis of funnel plots, Egger’s regression and trim-and-fill will be employed to evaluate publication bias. Effect sizes will be calculated from the articles by either direct or standardised mean difference, depending on the nature of the data. Overall estimates will then be calculated using a random effects model. Heterogeneity will be assessed using both I² index and Cochran’s Q test. These meta-analyses should be useful to summarise the available data on the relationship between sleep deprivation and behaviour, providing a solid background for future behavioural sleep deprivation experiments, improving their validity.

Socioeconomic status discrimination is associated with poor sleep in African-Americans, but not Whites

RATIONALE

Research on self-reported experiences of discrimination and health has grown in recent decades, but has largely focused on racial discrimination or overall mistreatment. Less is known about reports of discrimination on the basis of socioeconomic status (SES), despite the fact that SES is one of the most powerful social determinants of health.

OBJECTIVE

We sought to examine the cross-sectional association between self-reported SES discrimination and subjective sleep quality, an emerging risk factor for disease. We further examined whether associations differed by race or SES.

METHODS

We used logistic and linear regression to analyze data from a population-based cohort of 425 African-American and White middle-aged adults (67.5% female) in the Southeastern United States. SES discrimination was assessed with a modified Experiences of Discrimination Scale and poor subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index.

RESULTS

In logistic regression models adjusted for age, gender, and education, reports of SES discrimination were associated with poor sleep quality among African-Americans (OR = 2.39 95%, CI = 1.35, 4.24), but not Whites (OR = 1.03, 95% CI = 0.57, 1.87), and the race × SES discrimination interaction was significant at p = 0.04. After additional adjustments for reports of racial and gender discrimination, other psychosocial stressors, body mass index and depressive symptoms, SES discrimination remained a significant predictor of poor sleep among African-Americans, but not Whites. In contrast to findings by race, SES discrimination and sleep associations did not significantly differ by SES.

CONCLUSION

Findings suggest that reports of SES discrimination may be an important risk factor for subjective sleep quality among African-Americans and support the need to consider the health impact of SES-related stressors in the context of race.