scholarly journals The “Sleep Well, Lincolnshire” Project: Evaluation of an Online Sleep Practitioner Clinic

2021 ◽  
Vol 18 (3) ◽  
pp. 154-161
Author(s):  
Heather Elphick ◽  
Claire Earley ◽  
Karen Tyas ◽  
Lowri Thomas ◽  
Lisa Artis ◽  
...  
Keyword(s):  
Behavioral Therapy ◽  
Sleep Onset ◽  
Well Being ◽  
Evaluation Study ◽  
Adverse Outcomes ◽  
Poor Sleep ◽  
Post Intervention ◽  
Sleep Difficulty ◽  
Sleep Parameters ◽  
Children’S Sleep

Objectives: Poor sleep is associated with adverse outcomes during childhood. Behavioral insomnia is the most common sleep difficulty experienced by children. The coronavirus disease 2019 (COVID-19) global pandemic in 2020 has profoundly affected children’s sleep patterns. This project aimed to evaluate a one-toone sleep service delivered via online clinics by community sleep practitioners in the UK.Methods: This was an observational pre- and post-evaluation study over a 12-month period. The intervention derived from aspects of cognitive-behavioral therapy for insomnia. The evaluation was questionnaire-based and assessed sleep parameters and well-being.Results: 104 parents returned completed questionnaires. The average time of sleep onset was 1 hour and 39 minutes pre-intervention and 20 minutes post-intervention. The average number of nights per week that children woke up was 3.9 pre-intervention and 0.9 post-intervention; the number of night awakenings fell from 1.9 to 0.5 and the time that children were awake after sleep onset fell from 66.8 minutes to 5.8 minutes. The average time that children were asleep was 8.0 hours per night pre-intervention and 10.2 hours post-intervention. The improvement in all sleep parameters was statistically significant (p<0.05). All parameters of parental and children’s well-being improved significantly (p<0.05), except for perceived ability to drive (p=0.07). All parents stated that they would recommend sleep support and 20% already had done so.Conclusions: The COVID-19 pandemic has accelerated the development of remote health care solutions, and in the case of children’s sleep clinics, the online mode of intervention delivery that is as effective, acceptable, and accessible as face-to-face delivery.

scholarly journals Mindfulness-based therapy for insomnia for older adults with sleep difficulties: a randomized clinical trial

2021 ◽  
pp. 1-11
Author(s):  
Francesca Perini ◽  
Kian Foong Wong ◽  
Jia Lin ◽  
Zuriel Hassirim ◽  
Ju Lynn Ong ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Exercise Program ◽  
Severity Index ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Post Intervention ◽  
Insomnia Severity

Abstract Objective Poor sleep is a modifiable risk factor for multiple disorders. Frontline treatments (e.g. cognitive-behavioral therapy for insomnia) have limitations, prompting a search for alternative approaches. Here, we compare manualized Mindfulness-Based Therapy for Insomnia (MBTI) with a Sleep Hygiene, Education, and Exercise Program (SHEEP) in improving subjective and objective sleep outcomes in older adults. Methods We conducted a single-site, parallel-arm trial, with blinded assessments collected at baseline, post-intervention and 6-months follow-up. We randomized 127 participants aged 50–80, with a Pittsburgh Sleep Quality Index (PSQI) score ⩾5, to either MBTI (n = 65) or SHEEP (n = 62), both 2 hr weekly group sessions lasting 8 weeks. Primary outcomes included PSQI and Insomnia Severity Index, and actigraphy- and polysomnography-measured sleep onset latency (SOL) and wake after sleep onset (WASO). Results Intention-to-treat analysis showed reductions in insomnia severity in both groups [MBTI: Cohen's effect size d = −1.27, 95% confidence interval (CI) −1.61 to −0.89; SHEEP: d = −0.69, 95% CI −0.96 to −0.43], with significantly greater improvement in MBTI. Sleep quality improved equivalently in both groups (MBTI: d = −1.19; SHEEP: d = −1.02). No significant interaction effects were observed in objective sleep measures. However, only MBTI had reduced WASOactigraphy (MBTI: d = −0.30; SHEEP: d = 0.02), SOLactigraphy (MBTI: d = −0.25; SHEEP: d = −0.09), and WASOPSG (MBTI: d = −0.26; SHEEP (d = −0.18). There was no change in SOLPSG. No participants withdrew because of adverse effects. Conclusions MBTI is effective at improving subjective and objective sleep quality in older adults, and could be a valid alternative for persons who have failed or do not have access to standard frontline therapies.

142 Prenatal Sleep Quality and Infant Sleep: A Longitudinal Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Gestational Age ◽  
Sleep Onset ◽  
Depression Scale ◽  
Future Research ◽  
Poor Sleep ◽  
Infant Sleep ◽  
Maternal Sleep ◽  
Sleep Parameters

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p &gt; .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p &lt; .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)

The Effect of Uncoupled Sleep and Dysfunctional Sleep Beliefs on Sleep Outcomes in Older Adults following Online Cognitive Behavioral Therapy for Insomnia: A Single-Group Non-randomized Trial (Preprint)

2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley
Keyword(s):  
Older Adults ◽  
Cognitive Behavioral Therapy ◽  
Sleep Quality ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705

Night Games and Sleep: Physiological, Neuroendocrine, and Psychometric Mechanisms

2018 ◽  
Vol 13 (7) ◽  
pp. 867-873 ◽  
Author(s):  
Laura E. Juliff ◽  
Jeremiah J. Peiffer ◽  
Shona L. Halson
Keyword(s):  
Core Temperature ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Sleep Difficulty ◽  
Sleep Complaints ◽  
Temperature State ◽  
Psychometric Measures ◽  
Cortisol Responses

Context: Night games are a regular occurrence for team-sport athletes, yet sleep complaints following night competitions are common. The mechanisms responsible for reported sleep difficulty in athletes are not understood. Methods: An observational crossover design investigating a night netball game and a time-matched rest day in 12 netball athletes was conducted to ascertain differences in physiological (core temperature), psychometric (state and trait), and neuroendocrine (adrenaline, noradrenaline, and cortisol) responses. Results: Following the night game, athletes experienced reduced sleep durations, lower sleep efficiency, early awakenings, and poorer subjective sleep ratings compared with the rest day. No differences were found between core temperature, state psychometric measures, and cortisol at bedtime. Adrenaline and noradrenaline concentrations were elevated compared with the time-matched rest day prior to (26.92 [15.88] vs 12.90 [5.71] and 232.6 [148.1] vs 97.83 [36.43] nmol/L, respectively) and following the night game (18.67 [13.26] vs 11.92 [4.56] and 234.1 [137.2] vs 88.58 [54.08] nmol/L, respectively); however, the concentrations did not correlate to the sleep variables (duration, efficiency, and sleep-onset latency). A correlation (rs = −.611) between sleep efficiency and hyperarousal (trait psychometric measure) was found. Conclusions: Athletes experienced poor sleep following a night game. Furthermore, results suggest that athletes who have a tendency toward a high trait arousal may be more susceptible to sleep complaints following a night game. These data expand knowledge and refute frequently hypothesized explanations for poor sleep following night competition. The results may also help support staff and coaches target strategies for individual athletes at a higher risk of sleep complaints.

scholarly journals Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study

2021 ◽  
Author(s):  
Shahram Nikbakhtian ◽  
Angus B Reed ◽  
Bernard Dillon Obika ◽  
Davide Morelli ◽  
Adam C Cunningham ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Sleep Onset ◽  
Sensitivity Analyses ◽  
Poor Sleep ◽  
Accelerometer Data ◽  
Uk Biobank ◽  
Cvd Risk ◽  
Onset Timing ◽  
Sleep Parameters

Abstract Aims Growing evidence suggests that poor sleep health is associated with cardiovascular risk. However, research in this area often relies upon recollection dependent questionnaires or diaries. Accelerometers provide an alternative tool for measuring sleep parameters objectively. This study examines the association between wrist-worn accelerometer-derived sleep onset timing and cardiovascular disease (CVD). Methods and results We derived sleep onset and waking up time from accelerometer data collected from 103 712 UK Biobank participants over a period of 7 days. From this, we examined the association between sleep onset timing and CVD incidence using a series of Cox proportional hazards models. A total of 3172 cases of CVD were reported during a mean follow-up period of 5.7 (±0.49) years. An age- and sex-controlled base analysis found that sleep onset time of 10:00 p.m.–10:59 p.m. was associated with the lowest CVD incidence. An additional model, controlling for sleep duration, sleep irregularity, and established CVD risk factors, did not attenuate this association, producing hazard ratios of 1.24 (95% confidence interval, 1.10–1.39; P &lt; 0.005), 1.12 (1.01–1.25; P= 0.04), and 1.25 (1.02–1.52; P= 0.03) for sleep onset &lt;10:00 p.m., 11:00 p.m.–11:59 p.m., and ≥12:00 a.m., respectively, compared to 10:00 p.m.–10:59 p.m. Importantly, sensitivity analyses revealed this association with increased CVD risk was stronger in females, with only sleep onset &lt;10:00 p.m. significant for males. Conclusions Our findings suggest the possibility of a relationship between sleep onset timing and risk of developing CVD, particularly for women. We also demonstrate the potential utility of collecting information about sleep parameters via accelerometry-capable wearable devices, which may serve as novel cardiovascular risk indicators.

scholarly journals Associations of Actigraphic Sleep Parameters With Fatigability in Older Adults

2020 ◽  
Vol 75 (9) ◽  
pp. e95-e102 ◽  
Author(s):  
Alfonso J Alfini ◽  
Jennifer A Schrack ◽  
Jacek K Urbanek ◽  
Amal A Wanigatunga ◽  
Sarah K Wanigatunga ◽  
...  
Keyword(s):  
Older Adults ◽  
Perceived Exertion ◽  
Sleep Onset ◽  
Later Life ◽  
Sleep Time ◽  
Community Dwelling ◽  
Rating Of Perceived Exertion ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Sleep Parameters

Abstract Background Poor sleep may increase the likelihood of fatigue, and both are common in later life. However, prior studies of the sleep–fatigue relationship used subjective measures or were conducted in clinical populations; thus, the nature of this association in healthier community-dwelling older adults remains unclear. We studied the association of actigraphic sleep parameters with perceived fatigability—fatigue in response to a standardized task—and with conventional fatigue symptoms of low energy or tiredness. Methods We studied 382 cognitively normal participants in the Baltimore Longitudinal Study of Aging (aged 73.1 ± 10.3 years, 53.1% women) who completed 6.7 ± 0.9 days of wrist actigraphy and a perceived fatigability assessment, including rating of perceived exertion (RPE) after a 5-minute treadmill walk or the Pittsburgh Fatigability Scale (PFS). Participants also reported non-standardized symptoms of fatigue. Results After adjustment for age, sex, race, height, weight, comorbidity index, and depressive symptoms, shorter total sleep time (TST; &lt;6.3 hours vs intermediate TST ≥6.3 to 7.2 hours) was associated with high RPE fatigability (odds ratio [OR] = 2.56, 95% confidence interval [CI] = 1.29, 5.06, p = .007), high PFS physical (OR = 1.88, 95% CI = 1.04, 3.38, p = .035), and high mental fatigability (OR = 2.15, 95% CI = 1.02, 4.50, p = .044), whereas longer TST was also associated with high mental fatigability (OR = 2.19, 95% CI = 1.02, 4.71, p = .043). Additionally, longer wake bout length was associated with high RPE fatigability (OR = 1.53, 95% CI = 1.14, 2.07, p = .005), and greater wake after sleep onset was associated with high mental fatigability (OR = 1.14, 95% CI = 1.01, 1.28, p = .036). Conclusion Among well-functioning older adults, abnormal sleep duration and sleep fragmentation are associated with greater perceived fatigability.

Impact of Digital Monitoring, Assessment and Cognitive Behavioral Therapy on Subjective Sleep Quality, Workplace Productivity and Health Related Quality of Life: Observational Study (Preprint)

2018 ◽  
Author(s):  
Yuval Altman ◽  
Shuli Eyal ◽  
Anda Baharav ◽  
Kyle Niejadlik
Keyword(s):  
Sleep Problems ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Work Productivity ◽  
Average Amount ◽  
Subjective Sleep ◽  
Sleep Parameters ◽  
Smart Mobile

BACKGROUND Sleep difficulties negatively impact health, performance and quality of life, as about a third of the general population suffers from at least one insomnia symptom. Recent studies link insomnia with reduced work productivity, resulting in extensive losses for employees, employers and insurers. Cognitive behavioral therapy for insomnia (CBTi) is recommended as first-line treatment for insomnia and the ubiquity of smart mobile devices allows for promising approaches to overcome some of the limitations surrounding it. OBJECTIVE Our aim was to propose a comprehensive sleep solution for smart mobile devices, and to characterize the effects of this solution, while using adequate sample sizes. METHODS Employees of a Fortune-50 company were randomly selected, all with a Pittsburgh Sleep Quality Index (PSQI) larger than 8. Subjects were randomly assigned to either an intervention group (IG, n=247) or a control group (CG, n=249), and were asked to fill several questionnaires, in addition to the PSQI. Questionnaires were completed pre-treatment, post-treatment at six weeks and a follow-up after two months. People in the IG were provided with a sleep assessment and therapy service via a mobile app (SleepRate). De-identified objective and subjective sleep data were acquired on a nightly basis, along with a digital sleep diary. Sleep parameters included sleep onset (SO), wake after sleep onset (WASO), sleep efficiency (SE) and sleep satisfaction (SS). Sleep problems, such as symptoms of insomnia, were detected based on the sleep data and several questionnaires. Subjects in the IG were then offered treatment to address the detected sleep problems. For subjects with symptoms of insomnia, average sleep parameters during the assessment week (AW) were compared to those during the last week in treatment (LW). RESULTS Post-treatment average PSQI was lower for the IG (8.5), compared to that of the CG (10.9, p=.005), as were absenteeism (IG: 0.39%, CG: 1.0%, p=.06) and presenteeism (IG: 15.6%, CG: 21.4%, p=.02). The average amount of healthy days was significantly higher for the IG (22.5 days) compared to that of the CG (18.6 days, p=.005). At follow-up, average PSQI of the IG was significantly lower (7.1) than that of the CG (10.4, p=.005), as well as absenteeism (IG: 0.15%, CG: 0.84%, p=.03) and presenteeism (IG: 11.9%, CG: 23.5%, p=.005), while the average amount of healthy days was significantly higher (IG: 23.8, CG: 19.0, p=.005). For subjects in the IG, subjective SE was significantly higher at LW (89.1±12.3%, mean±SD) compared to that at the AW (87.5±9.8%, p=.025), WASO significantly shortened (AW: 25.7±27minutes, LW: 19.8±18.4minutes, p=.011), as SS increased significantly (AW: 49.2±11.5, LW: 53±15.4, p=.003). CONCLUSIONS The use of a mobile sleep solution improved the subjective sleep perception in the IG and facilitated a substantial increase in work productivity.

scholarly journals BEHAVIORAL SLEEP PROBLEMS IN CHILDREN (BEHAVIORAL INSOMNIA) AND EFFECTIVE METHODS OF THEIR MANAGEMENT

2021 ◽  
Author(s):  
GVANTSA ARVELADZE ◽  
TEIMURAZ MIKELADZE
Keyword(s):  
Children And Adolescents ◽  
Behavioral Interventions ◽  
Sleep Problems ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Pharmacologic Therapy ◽  
Poor Sleep ◽  
Older Children ◽  
Falling Asleep ◽  
Sleep Schedule

Sleep problems with behavioral origins occur in 20 to 30 percent of children and are especially common in children with medical, neurodevelopmental, or psychiatric disorders. Insomnia related to learned sleep onset associations is most common in infants and toddlers and is characterized by prolonged night waking, requiring parental intervention to restore sleep. It occurs when the child learns to associate falling asleep with specific experiences, such as being rocked or fed. Insomnia related to inadequate limit-setting is a disorder most common in children who are preschool-aged and older and is characterized by active resistance, verbal protests, and repeated demands at bedtime. Guidance to parents about healthy sleep practices helps to prevent sleep problems and is also an important first step in treatment. An integral part of the bedtime routine is the institution of a bedtime and sleep schedule that ensures a developmentally appropriate amount of sleep. A consistent nightly bedtime will help to set the circadian clock and enable the child to fall asleep more easily. Treatment of primary insomnia in older children and adolescents usually involves behavioral interventions that resemble those used in adults. Establishing a consistent sleep schedule is also important for older children and adolescents for whom poor sleep hygiene is a common cause of sleep problems. Pharmacologic therapy for the treatment of childhood insomnia is not a first-line treatment and should always be combined with behavioral therapy.

scholarly journals Impact of pulmonary rehabilitation in sleep in COPD patients measured by actigraphy

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248466
Author(s):  
Suman B. Thapamagar ◽  
Kathleen Ellstrom ◽  
James D. Anholm ◽  
Ramiz A. Fargo ◽  
Nagamani Dandamudi
Keyword(s):  
Sleep Quality ◽  
Pulmonary Rehabilitation ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Copd Patients ◽  
Before And After ◽  
Sleep Parameters

Introduction Chronic obstructive pulmonary disease (COPD) patients have poor sleep quality, longer time to sleep onset and frequent nocturnal awakenings. Poor sleep quality in COPD is associated with poor quality of life (QoL), increased exacerbations and increased mortality. Pulmonary rehabilitation (PR) improves functional status and QoL in COPD but effects on sleep are unclear. PR improves subjective sleep quality but there is paucity of objective actigraphy data. We hypothesized that actigraphy would demonstrate subjective and objective improvement in sleep following PR. Paired comparisons (t-test or Wilcoxon-signed-rank test) were performed before and after PR data on all variables. Methods This retrospective study of COPD patients undergoing PR utilized actigraphy watch recordings before and after 8-weeks of PR to assess changes in sleep variables including total time in bed (TBT), total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), wakefulness after sleep onset (WASO) and total nocturnal awakenings. A change in Pittsburg Sleep Quality Index (PSQI) was a secondary outcome. PSQI was performed before and after PR. Results Sixty-nine patients were included in the final analysis. Most participants were male (97%), non-obese (median BMI 27.5, IQR 24.3 to 32.4 kg/m2) with an average age of 69 ± 8 years and 71% had severe COPD (GOLD stage 3 or 4). Prevalence of poor sleep quality (PSQI ≥5) was 86%. Paired comparisons did not show improvement in actigraphic sleep parameters following 8-weeks PR despite improvements in 6-min-walk distance (6MWD, mean improvement 54 m, 95% CI 34 m to 74 m, p<0.0001) and St. George’s Respiratory Questionnaire scores (SGRQ, mean improvement 7.7 points, 95% CI 5.2 to 10.2, p<0.0001). Stratified analysis of all sleep variables by severity of COPD, BMI, mood, mental status, 6-MWD and SGRQ did not show significant improvement after PR. In Veterans with poor sleep quality (PSQI ≥ 5), PR improved subjective sleep quality (PSQI, mean difference 0.79, 95% CI 0.07 to 1.40, p = 0.03). Conclusions Pulmonary rehabilitation improved subjective sleep quality in Veterans who had poor sleep quality at the beginning of the PR but did not improve objective sleep parameters by actigraphy. Our findings highlight the complex interactions among COPD, sleep and exercise.

scholarly journals GAMBARAN POLA TIDUR IBU YANG MENERAPKAN CO-SLEEPING & NON CO-SLEEPING

MANASA ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 26-35
Author(s):  
Debri Pristinella
Keyword(s):  
Well Being ◽  
Self Esteem ◽  
Sleep Pattern ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Psychic Energy ◽  
Sleeping Arrangements ◽  
Children’S Sleep ◽  
Mental Well Being

The role of a mother in a family is very complicated. To be able to perform these roles optimally,the mother needs physical and mental (psychic) energy management. Sleep is one of the mostimportant but often neglected as a physical and mental management. The problem of sleep inwomen is not a popular topic regarding the physical and mental well-being of womencomparing to other issues such as self-esteem. This study aims to explore the co-sleeping andnon-co-sleeping arrangements among mothers and the reasons behind the sleep settingscurrently apply. This study also aims to explore the sleep patterns and the correlation betweenthe reasons for sleep arrangements and their sleep patterns.Participants were 115 mothers with children age 6 months until 10 years old who live inJogjakarta. The survey was the data collection method. The research instrument was aquestionnaire on Sleep arrangements and Sleep Patterns, analyzed using descriptive analysisand Spearman correlation analysis.The results showed that 49.1% of mothers applied co-sleeping arrangements every day, while15.8% of mothers applied non-co-sleeping (sleeping separately with their children). The age ofthe subject's children ranged from 6 months to 10 years. The main reason for their sleeparrangement was “best for children's sleep quality” (61.4%). As many as 62.2% of mothershave poor and very poor sleep patterns. And this poor sleep pattern has a negative andsignificant correlation (-0.028) with the reason that sleep settings are “best for children's sleepquality”. It means that mothers arguing that the sleeping arrangements are best for theirchildren, tend to have a poor sleep pattern.

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