scholarly journals 0195 Social Determinants of Sleep: Inside Relationships with Significant Others

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A76-A77
Author(s):  
Z Mousavi ◽  
M Tran ◽  
K R Kuhlman

Abstract Introduction Social relationships impact health through different mechanisms. Sleep problems are prevalent among adults in the USA, negatively impacting all-cause mortality, and increasing the risk for chronic diseases such as depression, cardiovascular disease, and cancer. This study aimed to assess whether the quality of an individual’s relationship with their significant other including support and strain, subjective relationship quality, joint decision making, marital risk, and conflict are associated with clinical, subjective, and objective measures of sleep. Methods Participants were selected from the Midlife in the United States (MIDUS) study if they had complete data on subjective sleep quality from the MIDUS II biomarker project and shared a bed with their partner (n=751, 49.5% female, Mage=53.4, SDage=11.2, range= 34–83). Subjective sleep quality was measured using the PSQI. A subset of these participants (n=246, 50.8% female) also completed 7-days of daily diary and actigraphy. Results Sleep disturbances were pervasive; 44.1% (n=331) of participants reported clinically meaningful sleep disturbances (PSQI>=5). Among the smaller sample of participants with 7-day sleep data, sleep disturbances were even more prevalent (60.9%). There were significant bivariate associations between higher support and lower strain with better subjectively and objectively sleep outcomes. Better subjective relationship quality was also associated with better subjectively measured sleep outcomes. Higher marital risk and more disagreement with partner were associated with poorer sleep. When accounting for all marital relationship factors, participants with higher support and lower strain given to partner had a better long-term sleep quality, b= 1.93, SE= .54, p<.001. Relationship quality was also associated with better daily sleep quality and daily reports of feeling rested, b = -.12, SE= .05, p=.023, and b= .11, SE = .048, p=.023, respectively. These relationships remained significant after accounting for age, current employment status, recent major health events, average daily caffeine, alcohol, exercise, and napping. Conclusion These findings support the importance of considering social determinants of sleep, suggesting that relationships with significant others may impact health through sleep quality. This highlights the importance of sleep as a transdiagnostic physiological mechanism that could be enhanced through improvements to relationships with significant others. Support N/A

Author(s):  
Serena Malloggi ◽  
Francesca Conte ◽  
Giorgio Gronchi ◽  
Gianluca Ficca ◽  
Fiorenza Giganti

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.


2017 ◽  
Vol 43 (4) ◽  
pp. 285-289 ◽  
Author(s):  
Camila de Castro Corrêa ◽  
Felipe Kazan de Oliveira ◽  
Diego Scherlon Pizzamiglio ◽  
Erika Veruska Paiva Ortolan ◽  
Silke Anna Theresa Weber

ABSTRACT Objective: To evaluate and compare subjective sleep quality in medical students across the various phases of the medical course. Methods: This was a cross-sectional study involving medical undergraduates at one medical school in the city of Botucatu, Brazil. All first- to sixth-year students were invited to complete the Pittsburgh Sleep Quality Index, which has been validated for use in Brazil. Participants were divided into three groups according to the phase of the medical course: group A (first- and second-years); group B (third- and fourth-years); and group C (fifth- and sixth-years). The results obtained for the instrument components were analyzed for the total sample and for the groups. Results: Of the 540 students invited to participate, 372 completed the instrument fully. Of those, 147 (39.5%) reported their sleep quality to be either very or fairly bad; 110 (29.5%) reported taking more than 30 min to fall asleep; 253 (68.0%) reported sleeping 6-7 h per night; 327 (87.9%) reported adequate sleep efficiency; 315 (84.6%) reported no sleep disturbances; 32 (8.6%) reported using sleeping medication; and 137 (36.9%) reported difficulty staying awake during the day at least once a week. Group comparison revealed that students in group A had worse subjective sleep quality and greater daytime dysfunction than did those in groups B and C. Conclusions: Medical students seem to be more exposed to sleep disturbance than other university students, and first- and second-years are more affected than those in other class years because they have worse subjective sleep quality. Active interventions should be implemented to improve sleep hygiene in medical students.


2018 ◽  
Vol 8 (12) ◽  
pp. 204 ◽  
Author(s):  
Charles Robinson ◽  
Natalie Bryant ◽  
Joshua Maxwell ◽  
Aaron Jones ◽  
Bradley Robert ◽  
...  

Background: Poor sleep quality is a common complaint, affecting over one third of people in the United States. While sleep quality is thought to be related to slow-wave sleep (SWS), there has been little investigation to address whether modulating slow-wave oscillations (SWOs) that characterize SWS could impact sleep quality. Here we examined whether closed-loop transcranial alternating current stimulation (CL-tACS) applied during sleep impacts sleep quality and efficiency. Methods: CL-tACS was used in 21 participants delivered at the same frequency and in phase with endogenous SWOs during sleep. Sleep quality was assessed in the morning following either verum or sham control stimulation during sleep, with order counterbalanced within participants. Results: Higher sleep quality and efficiency were found after verum stimulation nights compared to control. The largest effects on sleep quality were found immediately following an adaptation night in the laboratory for which sleep quality was reduced. Conclusions: Applying CL-tACS at the same frequency and phase as endogenous SWOs may offer a novel method to improve subjective sleep quality after a night with poor quality sleep. CL-tACS might be helpful for increasing sleep quality and efficiency in otherwise healthy people, and in patients with clinical disorders that involve sleep deficits.


2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.


2011 ◽  
Vol 15 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Rebecca Tremaine ◽  
Jillian Dorrian ◽  
Jessica Paterson ◽  
Annabelle Neall ◽  
Ellie Piggott ◽  
...  

Midwives often work night and rotating shift schedules, which can lead to sleep disturbances, increased fatigue, and greater likelihood of accidents or errors. This study investigated the sleep of midwives ( n = 17) in an Australian metropolitan hospital. Midwives completed work and sleep logbooks and wore wrist actigraphs for 28 days. Midwives worked combinations of morning, afternoon, and/or night shifts on constant ( n = 6) or rotating schedules ( n = 11). They obtained less than recommended amounts of sleep, getting only 6–7 hr per 24-hr period. Morning shifts were associated with the lowest sleep durations, lowest subjective sleep quality, and highest postsleep fatigue ratings. Despite the significantly higher amount of wake after sleep onset (51 min), the sleep before afternoon shifts had significantly lower postsleep fatigue ratings and was rated as significantly higher quality than sleep before other shifts or days off. Those who were married or living with a partner reported significantly more sleep and lower postsleep fatigue than those who were separated or divorced ( p < .05). Seventy-one percent of midwives took naps, primarily before night shifts, with nearly 40% of nightshifts preceded by a nap. Average nap durations were nearly 1.5 hr. Midwives reported feeling moderately to very physically or mentally exhausted on 22–50% of all shifts and days off. Exhaustion was most common on night shift. This study suggests that midwives may be suffering from chronic sleep loss and as a consequence may be at risk of impairments in functioning that accompany fatigue.


Author(s):  
Malgorzata W Kozusznik ◽  
Sara Puig-Perez ◽  
Barbara Kożusznik ◽  
Matias M Pulopulos

Abstract Background Several studies have proposed that coping strategies are a key predictor of sleep problems. Furthermore, some authors have suggested that depressive symptoms, a factor that is related to both coping strategies and sleep, may play a critical role in this relationship. However, this preliminary research has shown mixed results. Purpose The aim of this research was to study the relationship between coping strategies (i.e., emotion-focused and problem-focused coping) and sleep, and investigate whether this relationship is direct or mediated by depressive symptoms. Methods Using a cross-sectional design, we tested this idea in a sample of 723 participants from the Midlife in the United States 2 study (mean age = 54.22 years, age range = 25–74 years, 54.40% females, 95.1% had at least a high school education). We applied mediation analyses with bootstrapped bias-corrected 95% confidence intervals to test total, direct, and indirect effects. Coping and depression were assessed using questionnaires. Objective and subjective sleep quantity and quality were measured using the Pittsburgh Sleep Quality Index, sleep diaries, and actigraphy. Results The results show that low emotion-focused coping and high problem-focused coping are associated with lower depressive symptoms, which, in turn, are associated with better objective and subjective sleep quality. Moreover, greater use of emotion-focused coping is related to more perceived sleep time. Conclusions This study sheds light on the process of the development of sleep problems in people who use different coping strategies. It offers explanations for the association between emotion-focused and problem-focused coping and sleep problems, via depressive symptoms.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A427-A427
Author(s):  
L Zhang ◽  
J Zhu

Abstract Introduction Parkinson’s disease (PD) patients frequently present with sleep disorders. This study was designed to assess the impact of nonmotor symptoms (NMSs) on subjective sleep quality in early-stage PD patients with and without cognitive dysfunction. Methods A sample of 389 early-stage PD patients (Hoehn and Yahr score ≤2.5, duration ≤5 years) was recruited for the present study. The Non-Motor Symptoms Questionnaire (NMS-Quest) was used to screen for global NMSs. Depressive symptoms were assessed using the Hamilton Rating Scale for Depression (HAMD). PD motor symptoms were measured with the Unified PD Rating Scale (UPDRS), part III. The Montreal Cognitive Assessment (MoCA) was used to evaluate global cognitive status, and the PD Sleep Scale (PDSS) was used to quantify sleep quality. Logistic regression models were built to identify factors associated with sleep disturbances. Results In our sample, approximately one-quarter of the PD patients suffered from sleep disturbances (23.7%). Our results also confirmed the high prevalence of cognitive dysfunction in patients with PD (39.8%). In total, the patients who suffered from NMSs, such as depressive symptoms, anxiety symptoms, urinary tract symptoms and hallucinations/delusions, had poorer sleep quality. Better cognition may protect against sleep disorders. In patients with cognitive dysfunction, the NMS-Hallucinations/delusions score was the most important risk factor for sleep disorders. In patients without cognitive dysfunction, NMSs such as anxiety and cognition and medication were related to sleep disorder. Conclusion NMSs in early-stage PD are highly associated with and are determinants of subjective sleep quality. Future studies should focus on elucidating the pathophysiology of these symptoms. Support Special Funds of the Jiangsu Provincial Key Research and Development Projects (grant No. BE2018610)


2021 ◽  
Author(s):  
Mazyar Haghgoo ◽  
Atoosa Saidpour ◽  
Hakimeh Sadeghzadeh ◽  
Samira Rabiei

Abstract ObjectivesSleep is an essentially biological process for health and the pattern of sleep. Poor sleep quality is increasingly recognized as a risk factor for poor health outcomes such as obesity, diabetes, and cardiovascular disease. This study aimed to investigate the association between sleep quality, body mass index (BMI) and glycemic and lipid profiles in Iranian adults in 2020.This descriptive cross-sectional study was conducted on adults aged 18-60 years from both sexes. Participants were selected from those who referred to community centers in Tehran Municipality. Three hundred and fifty-three Volunteers who had inclusion criteria entered the study by convenience sampling. Information on anthropometric measurements, Physical Activity and dietary intake were collected. Sleep quality was assessed through PSQI questionnaire. Biochemical analysis was also conducted to investigate FBS, Insulin and lipid profile.ResultsBMI had positive correlation with subscale of “sleep disturbances” and “use of sleep medication” (P-value <0.001). Physical activity had a significant negative correlation with subscales of “subjective sleep quality” and “sleep latency”. FBS and TG had positive correlation with “sleep latency” and “Subjective sleep quality”, respectively (p-value<0.05). Weak sleep quality has association with obesity, disorder of glucose and triglyceride metabolism and lower level of physical activity.


2019 ◽  
Vol 33 (2) ◽  
pp. 133-153 ◽  
Author(s):  
Zlatan Križan ◽  
Garrett Hisler

Sleep is one key feature of people's lives that defines their daily routine and reflects overall health and well–being. To test the relevance of personality for core aspects of sleep, we examined if personality traits across the five broad personality domains predicted behaviourally recorded, week–long sleep characteristics up to five years later (alongside subjective sleep quality). Data from 382 participants (63% female, aged 34–82 years) were drawn from the longitudinal study on Midlife in the United States Study—Biomarker project. In terms of mean tendencies, both neuroticism and conscientiousness signalled more sleep continuity (fewer interruptions) alongside better subjective quality. In terms of intra–individual sleep variability, neuroticism predicted more variability in sleep duration, continuity, and subjective sleep quality, while conscientiousness predicted less variability in sleep duration and sleep continuity. Extraversion, agreeableness, and openness traits did not generally foreshadow behaviourally recoded sleep, only higher ratings of subjective quality. These links were robust to the impact of demographic factors and were not moderated by the duration of time between personality and sleep assessments. The findings distinguish which personality traits foreshadow core aspects of sleep and also implicate multiple traits as predictors of variability, not just mean tendencies, in behaviourally recorded sleep. © 2019 European Association of Personality Psychology


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