Strained Bedfellows: An Actor-Partner Analysis of Spousal Attachment Insecurity and Sleep Quality

Sleep Deficiency and Opioid Use Disorder: Trajectory, Mechanisms, and Interventions

Opioid use disorder (OUD) is a chronic and relapsing brain disease characterized by loss of control over opioid use and impairments in cognitive function, mood, pain perception, and autonomic activity. Sleep deficiency, a term that encompasses insufficient or disrupted sleep due to multiple potential causes, including sleep disorders (eg, insomnia, sleep apnea), circadian disruption (eg, delayed sleep phase and social jet lag), and poor sleep quality (eg, sleep fragmentation, impaired sleep architecture), is present in greater than 75% of patients with OUD. This article focuses on highlighting bidirectional mechanisms between OUD and sleep deficiency and points toward promising therapeutic targets.

Conceptualizing Sleep Satisfaction: A Rapid Review

Good, satisfying, sleep is a key indicator and determinant of health and wellness. However, there is no consensus about how to define and measure good sleep. The present research aimed to define sleep satisfaction through the extant literature and disentangle it from sleep quality, a conceptually similar construct. Systematic review methods were adapted for a rapid review approach. The entire review was completed in eight weeks. Tabulation coding with content analysis was used to identify key categories and synthesize findings. A systematic process for generating construct definitions was followed. Database search yielded 51 eligible studies (N > 218,788), representing diverse adult populations, in 20 countries. Designs varied in rigour. Sleep satisfaction was defined as a personal, introspective, and global judgment about one's feelings of contentment with one's sleep, at a particular point in time. Sleep satisfaction was understood as an indicator of general health, impacted by and varied as a function of one's sleep environment and individual-level characteristics. This rapid review contributes to the literature by providing the first systematically generated definition of sleep satisfaction, with strong implications for measurement, research, and practice.

A narrative review of mechanisms linking romantic relationship experiences to sleep quality

Although a significant body of research has revealed associations between romantic relationship experiences and sleep quality, there has not been clarity regarding the mechanisms underlying such associations. Toward this end, we review the existing studies that have tested mechanisms linking romantic relationship experiences to sleep quality. Guided by both theory and existing research, we organize our review around five key categories of mechanisms that may explain associations between romantic relationship experiences and sleep quality: emotional/affective responses, self-perceptions, social perceptions, self-regulation, and biological functioning. Our review of the literature indicates strong evidence in support of the mediating effects of emotional/affective mechanisms (e.g. emotions and mood states) in explaining associations between various aspects of romantic relationships (e.g. relationship satisfaction, partner conflicts, and attachment orientation) and sleep quality. Although there is ample theoretical support for the other mechanisms proposed, and although all proposed mechanisms have been separately linked to both romantic relationship experiences and sleep quality, few studies have directly tested them, pointing to profitable directions for future research. Understanding underlying mechanisms will enable the development of wise, process-based interventions that target specific mechanisms to improve couple members' sleep quality and romantic relationship functioning.

Attachment and sleep quality in adults: A multilevel meta-analysis of actor and partner effect

Within the context of sleep, attachment is hypothesized to play a central role in regulating bedtime affect and arousal. While previous studies have suggested a link between attachment and sleep quality, a meta-analysis specifically examining this association in adults has been lacking. To address this gap, we conducted a series of multilevel meta-analyses of 28 studies on this topic. Our results indicated a correlation between attachment anxiety and an individual's own sleep quality (r = -0.16, p < 0.001), as well as their partner's sleep quality (r = -0.10, p < 0.05). There was also a negative correlation between attachment avoidance and an individual's sleep quality (r = -0.15, p < 0.001) as well as their partner's sleep quality (r = -0.16, p < 0.01). Additionally, the relationships were moderated by several variables, including age, sleep measurement, and gender. Further analysis indicated that attachment anxiety was associated with poorer subjective sleep quality (PSQI) (r = -0.23, p < 0.001), longer sleep latency (r = -0.10, p < 0.05), increased wakefulness after sleep onset (r = -0.09, p < 0.05), and greater daytime sleepiness (r = -0.20, p < 0.01). Attachment avoidance was associated with poorer self-reported sleep quality (PSQI) (r = -0.16, p < 0.001), longer time to fall asleep (r = -0.15, p < 0.05), and increased daytime sleepiness (r = -0.15, p < 0.05). In summary, the findings of the current study supported the association between attachment insecurity and poorer sleep quality in both individuals and their partners. These findings hold important implications for future interventions aimed at improving sleep quality by addressing attachment-related concerns.

High Heart Rate Variability Buffers the Effect of Attachment Insecurity on Sleep Quality

OBJECTIVE

Sleep quality is an important health-protective factor. Psychosocial factors, including attachment orientation, may be valuable for understanding who is at risk of poor sleep quality and associated adverse health outcomes. High attachment anxiety is reliably associated with adverse health outcomes, whereas high attachment avoidance is associated with adverse health outcomes when co-occurring with poor self-regulatory capacity, indexed by heart rate variability (HRV). We examined the associations between attachment anxiety, attachment avoidance, HRV, and sleep quality.

METHODS

Using longitudinal data from a sample of 171 older adults measured four times over 1 year ( M = 66.18 years old; 67.83% women), we separated the between-person variance (which we call "trait") and within-person variance (which we call "state") for attachment anxiety, attachment avoidance, and HRV (via the root mean square of successive differences). Sleep quality was measured with the Pittsburgh Sleep Quality Index.

RESULTS

Higher trait attachment anxiety was associated with poorer global sleep quality ( B = 0.22, p = .005). Higher state attachment avoidance was associated with poorer sleep quality ( B = -0.13, p = .01), except for those with higher trait HRV. Higher state attachment anxiety was associated with poorer sleep quality ( B = -0.15, p = .002), except for those with higher or mean trait HRV. Higher trait attachment anxiety was associated with poorer sleep quality ( B = -0.31, p = .02), except for those with higher trait HRV.

CONCLUSIONS

High trait HRV mitigated the adverse effects of attachment insecurity on sleep quality. Our results suggest that people with high trait HRV had greater self-regulation capacity, which may enable them to enact emotion regulation strategies effectively.

Mechanisms Linking Attachment Orientation to Sleep Quality in Married Couples

There is emerging evidence for links between relationship factors and sleep quality. Existing research linking attachment orientation to sleep quality has yielded inconsistent effects, has focused on younger samples, and has not considered underlying mechanisms of action. This research addressed these gaps in two studies that investigated the links between attachment orientation and sleep quality in both younger/middle-aged (Study 1) and older (Study 2) adult couples using Actor-Partner Interdependence Models. We also tested mediating effects of relationship-specific security and negative affect. In both studies, participants completed surveys assessing their attachment orientation, sleep quality, and the proposed mediators. Both studies revealed that relationship-specific security and negative affect mediated the negative association between insecure attachment and one's own sleep quality. This research enhances our understanding of how attachment orientation affects sleep quality, provides a foundation for future research on relationship influences on sleep, and suggests avenues for improving sleep quality.

Getting Good Sleep with Family Support: The Role of Fear of Crime and Loneliness

Sleep problems in middle-aged and older people can threaten their physical and mental health. Family support is regarded as a key factor that affects sleep quality, but the influence mechanism remains underexplored. This study analyzes the mediating effects of fear of crime (FOC) and loneliness in the relationship between family support and sleep quality, and explores whether gender plays a moderating role between family support and FOC. A questionnaire survey was conducted among 1043 Chinese middle-aged and older people aged 45-93 years. Using 10,000 bootstrapped samples, the study shows that middle-aged and older people who receive more family support have better sleep quality, and FOC and loneliness play mediating role in this association. Gender moderates the relationship between family support and FOC. Compared with men, family support for females has a greater impact on their FOC condition, and the mediating effect of family support on sleep quality through FOC is also greater among women. Family support can affect sleep quality through the chain mediating effect of FOC and loneliness for women. This study provides an in-depth understanding of the relationship between family support and sleep quality.

Marital status and living apart affect sleep quality in male military personnel: a study of the China's Navy during COVID-19

Background

Marital status is a robust sociodemographic predictor of sleep. Having to live apart from spouse may have different implications than those of cohabitants or singles, especially in military personnel. Further research on this group will help provide knowledge in advance and facilitate early targeted interventions.

Methods

An online questionnaire study was conducted from July to November 2021. A total of 1,832 male military personnel completed the questionnaire. The marital status was measured by a self-reported single choice question. Pittsburgh sleep quality index (PSQI), Epworth Sleepiness Scale (ESS) and The Dysfunctional Beliefs and Attitudes about sleep scale (DBAS-16) were used to measure sleep-related outcomes. Inverse probability weighting (IPW) was applied to reduce the effects of confounding. Logistic regression was used to analyze the relationship between marital status and sleep and explore the impact of living together or not.

Results

After inverse probability weighting, the prevalence of poor sleep quality, sleepiness and dysfunctional beliefs were 16.1, 20.1 and 7.1%, respectively. One-way ANOVA results for the means of both groups were statistically significantly different, except for the sleep latency and sleep disturbance dimensions of PSQI. Participants who were married were more likely to have poor sleep quality (OR: 1.408, 95% CI: [1.10, 1.80]), to have daytime sleepiness (OR: 1.560, 95% CI: [1.27, 1.92]) and to develop dysfunctional beliefs and attitudes (OR: 2.497, 95% CI: [1.65, 3.80]) than those who were unmarried. Further analysis showed that the odds of developing poor sleep quality and DBAS in participants who married but living apart were significantly bigger than those unmarried (OR: 1.548 and 3.991, respectively.), while there were no significant differences in the odds of daytime sleepiness (OR: 0.738, p = 0.050). Age was a protective factor for the development of bad sleep outcomes, while family economic was an independent risk factor.

Conclusion

Marital status appear important for sleep quality, daytime sleepiness and sleep beliefs. The effect of living apart or not should be considered separately as an important predictor of sleep.

Sleep Deficiency and Opioid Use Disorder: Trajectory, Mechanisms, and Interventions

Opioid use disorder (OUD) is a chronic and relapsing brain disease characterized by loss of control over opioid use and impairments in cognitive function, mood, pain perception, and autonomic activity. Sleep deficiency, a term that encompasses insufficient or disrupted sleep due to multiple potential causes, including sleep disorders (eg, insomnia, sleep apnea), circadian disruption (eg, delayed sleep phase and social jet lag), and poor sleep quality (eg, sleep fragmentation, impaired sleep architecture), is present in greater than 75% of patients with OUD. This article focuses on highlighting bidirectional mechanisms between OUD and sleep deficiency and points toward promising therapeutic targets.

Association between marital status and insomnia-related symptoms: findings from a population-based survey in Japan

BACKGROUND

Marital status is one of the socio-economic factors associated with health. Several studies have indicated a significant association between marital status and insomnia. The increases in the percentages of unmarried people in Japan are expected to produce a significant impact on insomnia. The purpose of this study was to examine the association between marital status and insomnia.

METHODS

The participants were 35 288 people aged 30-59 years selected from the 2010 comprehensive survey of living conditions. We categorized marital status into five groups: single, married couples living with other family members, married couples living without other family members, widowed and divorced. Insomnia-related symptoms (IRS) were based on the participants who chose the answer, 'I couldn't sleep'. Sex-specific multivariable odds ratios (ORs) and 95% confidence intervals (CI) of IRS according to marital status were calculated using the logistic regression model, which was adjusted for potential confounding factors.

RESULTS

The proportions of people with IRS were 2.5% in men and 2.8% in women. The multivariable ORs (95% CI) were 1.15 (0.89-1.49) for single, 1.69 (1.11-2.58) for divorced and 1.01 (0.73-1.39) for married couples living without other family members in men, and 1.56 (1.20-2.03) for single, 2.43 (1.83-3.22) for divorced and 1.31 (1.01-1.71) for married couples living without other family members in women.

CONCLUSIONS

We found divorced men and single, divorced and married women living without other family members had higher IRS than those who were married couples living with other family members in Japanese. This association was more evident in unemployed men.