Higher Sleep Latency Research Articles

Ultramarathon runners and support crew: The influence of pre-race sleep and training profiles on performance in a 217-km mountain race

The present study evaluates the effects of pre-race sleep and training characteristics among ultra-athletes and support crew, and the influence of these factors on the athlete's performance in a 217-km ultramarathon. A total of 38 ultramarathon runners and 59 support crew members were assessed. The participants answered questionnaires about chronotype, sleep quality, sleepiness, basic demographics, and pre-race training. The clinical trial registration number is RBR-7j6d23v. The results showed that athletes and support crew had a morning-type chronotype and good sleep efficiency; most had poor-quality sleep. The athletes who finished the race had a higher sleep latency than non-finishers (p < 0.001). The quality of sleep may have impacted performance because the athletes with good sleep quality trained one day more per week than those without (p < 0.001), and training frequency was highly correlated with the race time (r = −0.59). These findings are novel, expand the data about sleep, training, and performance in an ultramarathon, and innovate by addressing the support crew.

Sleep disturbance in children with attention-deficit hyperactivity disorder: relationship with melatonin and behavior

ABSTRACT Aim To evaluate the prevalence and types of sleep problems and their correlations with melatonin content and behavior in Attention-Deficit Hyperactivity Disorder (ADHD) children. Method Sleep in ADHD children and typically developing children (TD) aged 6–14 was assessed by the Sleep Disorders Scale for Children (SDSC) and actigraphy, salivary melatonin quantified by ELISA, and behavior was analyzed using the Strengths and Difficulties Questionnaire. Results ADHD children showed a higher frequency of sleep disturbances, higher sleep latency, and lower sleep efficiency than in the TD group. The ADHD group presented lower melatonin nocturnal content compared to the TD group. Disorders of Initiating and Maintaining Sleep (DIMS) was moderately associated with nocturnal melatonin. The total behavior difficulties were correlated with Disorders of Initiating and Maintaining Sleep (DIMS), Sleep/Wake Transition Disorders (SWTD), Disorders of Excessive Somnolence (DES), Sleep Hyperhidrosis (SHY) and Total SDSC Score. The behavior was the only determinant of the total SDSC score (R2 = 0.499; p < 0.002). Conclusion This study provides, for the first time, evidence that among the frequent sleep disturbances in ADHD, the disorders in initiating and maintaining sleep are associated with the low levels of melatonin found in this population. Additionally, these, along with other sleep disturbances, are linked to behavioral problems in ADHD.

The Relation of Sleep Characteristics and Cognitive Impairment in Community-Dwelling Middle-Aged and Older Adults: Ardakan Cohort Study on Aging (ACSA)

Introduction: The rise in the elderly population has brought attention to mild cognitive impairment (MCI). Sleep disorders also affect many older adults, indicating an important area of research for disturbed sleep and faster brain aging. This population-based study aimed to investigate the association of several sleep indicators with cognitive performance. Methods: This cross-sectional study focused on adults over 50 in the Ardakan Cohort Study on Aging (ACSA). MCI was evaluated using the Mini-Mental State Examination (MMSE) and the Abbreviated Mental Test score (AMTS) in literate and illiterate individuals. Sleep characteristics were collected using the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and Berlin questionnaire. The logistic regression models were used to analyze the data. Results: Overall, 3,380 literate and 1,558 illiterate individuals were included. In both groups, participants with MCI had a significantly higher PSQI global score (p < 0.05). Also, among the literate individuals, a significantly higher risk of having sleep-disordered breathing and poor sleep quality was observed in participants with MCI (p < 0.05). In illiterate individuals, higher sleep latency than 15 min increased odds of MCI (p < 0.05). However, after adjusting for all variables, only literate individuals with a sleep duration of more than 8 h had 66 percent increased odds of having MCI (p = 0.033). Conclusion: Sleep duration might be associated with cognitive function in the older Iranian population. Our findings underscore the importance of considering sleep patterns in relation to cognitive health.

Physical activity attenuates the effect of poor sleep quality on cognitive function in adults with chronic stroke

AbstractBackgroundGood sleep quality is important for cognitive health. Individuals with chronic stroke are at an increased risk for dementia and about half have insomnia. Stroke survivors are a target population in need of intervention strategies to promote sleep quality to preserve cognitive function. Physical activity is a promising approach. Hence, in this cross‐sectional analysis, we examined whether physical activity moderates the effect of poor sleep quality on cognitive function in adults with chronic stroke.MethodThis is a cross‐sectional analysis of baseline data acquired from 121 community‐dwelling older adults with chronic stroke (age: 70.73 ± 8.56 years; 38.30% female) enrolled in a 6‐month randomized control trial. Sleep quality was assessed with the MotionWatch8 (MW8) and physical activity was measured with the Life Space Questionnaire (LSQ; 0‐120). Participants were split into higher or lower physical activity by the median LSQ score (median = 64.00). Cognitive performance was measured with the 13‐item Alzheimer’s Disease Assessment Scale (ADAS‐Cog; 0‐85), with higher scores indicating worse cognitive performance. A linear regression was performed to first assess the independent association of MW8‐measures of sleep quality (i.e., sleep duration, fragmentation, efficiency, latency, and awakenings) and ADAS‐Cog score, after accounting for age and Montreal Cognitive Assessment score (MoCA) score. Based on the results of this linear regression, we performed a second linear regression with ADAS‐Cog score as the dependent variable, and sleep latency (minutes), physical activity level, and the interaction of sleep latency * physical activity level as independent variables, controlling for age and MoCA score.ResultGreater sleep latency (β1 = 0.22, p = 0.017) was significantly associated with greater ADAS‐Cog score, after controlling for age and MoCA (R2 = .50, F(3, 105) = 34.74, p&lt;.01). Physical activity significantly moderated the association between sleep latency (β1 = 0.38, p = 0.033) and ADAS‐Cog score (R2 = .53, F(5, 103) = 22.93, p&lt;.01). Specifically, those in the higher physical activity group showed lower ADAS‐Cog scores with higher sleep latency (r = .67, p = .627) and those in the lower physical activity group showed higher ADAS‐Cog scores with higher sleep latency (r = .75, p = .007).ConclusionPhysical activity attenuates the effect of poor sleep quality on cognitive function in adults with chronic stroke.

Morbidities Worsening Index to Sleep in the Older Adults During COVID-19: Potential Moderators.

Older adults were considered a vulnerable group for the COVID-19 infection and its consequences, including problems with sleep.AimTo evaluate the prevalence of sleep disorders in older adults, to describe their sleep patterns, as well as to analyse if there were any changes in comparison with the period pre-pandemic.Materials and MethodsOnline survey used for data collection received answers from 914 elderly age range 65–90 years, from April to August 2020. Results: 71% of the sample reported a pre-existent sleep disorder, and some of them worsened during the pandemic, especially Insomnia in women and Obstructive Sleep Apnea in men. No difference in sleep duration before and during the pandemic was found, although there was a worsening of some aspects related to sleep, such as sleep quality, sleep efficiency, awakening quality, sleep latency and nocturnal awakenings, especially in the female gender. Educational level influenced sleep latency, indicating higher sleep latency among those with primary education when compared with the ones with Ph.D.ConclusionThe pandemic had influenced sleep patterns among the elderly, as well as worsening of pre-existent sleep disorders. Female gender and low educational level were considered risk factors for sleep alterations, and high educational level, on its turn, appeared to be a protective factor.

Screen Time and Associated Health Problems Among Undergraduates of University of Sri Jayewardenepura, Sri Lanka

Background and Objective: The combined time consumed by undergraduates for television viewing, internet usage and playing video games is considered as screen time. Previous studies provide evidence that screen time is associated with many complaints, such as headache, backache, and sleep problems. This study is aimed to investigate screen time and associated health problems among undergraduates.Methods: This descriptive cross-sectional study was conducted among conveniently selected 430 undergraduates from four faculties of the University of Sri Jayewardenepura. A pre-tested self-administered questionnaire was used to collect data. Data were analyzed using SPSS version 20. Descriptive and inferential statistics were used.Results: Results indicated that the mean screen time was 315.8 (SD=256.2) minutes per day during the week and 456.5 (SD=294.3) minutes per day during the weekend. Using the internet was the commonest screen activity among undergraduates rather than other screen time activities. Excessive screen time was significantly associated with headache, higher sleep latency, shoulder pain, hand pain, and pain in the eyes among undergraduates (p&lt;.05).Conclusions: The findings indicated that a higher screen time could lead to health problems among undergraduates. Therefore, the student population need to be informed of the impact and adverse effects of excessive screen time usage and actions should also be taken to minimize modifiable determinants of excessive screen time.

Correlation Between Anger, Sleep Quality, and Indoor Activities During COVID-19 Quarantine

Background: Coronavirus disease 2019 (COVID-19) is a life-threatening disease that has spread globally and received international concern. Iran is one of the countries severely affected by this pandemic, implementing social lockdown and restrictive strategies. According to Persian medicine, restrictions like quarantine have psychological and social consequences. Objectives: This study aimed to investigate the relationship between sleep quality and anger behaviors in Iran and compare it with Persian medicine viewpoints. Methods: In this cross-sectional study, 739 participants were interviewed in April 2020 in Shiraz, Iran. The questionnaire included the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Anger Inventory (MAI), and items on demographics, temperament, and the quarantine situation social factors. All participants completed the questionnaires willingly and were ensured of data confidentiality. Results: We found that 58.3% of the participants had low sleep quality. Females showed higher scores on anger and its related aspects (P &lt; 0.05). In addition, people with lower education and income levels revealed higher anger scores (P &lt; 0.05). Moreover, the mean scores of anger and its related factors were higher in participants with low sleep quality, higher sleep latency, daytime dysfunction, and experience of using sleep medications (P &lt; 0.05). Also, after adjustment for demographics and other social factors, the mean scores of anger and all of its aspects were higher in those with a sleep disorder, use of sleep medications, and daytime dysfunction (P &lt; 0.05). Conclusions: In conclusion, our findings illustrated that various factors, including low sleep quality, are associated with anger in individuals with the experience of home quarantine during the COVID-19 outbreak. The outcome is compatible with Persian medicine evidence.

Do Children of Patients with Bipolar Disorder have a Worse Perception of Sleep Quality?

IntroductionThe offspring of bipolar parents (BO) is a high-risk population for inheriting the bipolar disorder (BD) and other early clinical manifestations, such as sleep disturbances. ObjectiveTo compare the presence of psychiatric disorders and sleep disturbances of BO versus offspring of control parents (OCP). MethodsA cross-sectional analytical study was conducted that compared BO versus OCP. The participants were assessed using valid tools to determine the presence of psychiatric symptoms or disorders. The “Sleep Evaluation Questionnaire” and “School Sleep Habits Survey” were used to determine sleep characteristics and associated factors. Sleep records (7-21 days) were also obtained by using an actigraphy watch. ResultsA sample of 42 participants (18 BO and 24 OCP) was recruited. Differences were found in the presentation of the psychiatric disorder. The BO group showed a higher frequency of major depression disorder (MDD; P = .04) and Disruptive Mood Dysregulation Disorder (DMDD; P = .04). The OCP group showed a higher frequency of Attention Deficit and Hyperactivity Disorder (ADHD; P = .65), and Separation Anxiety Disorder (SAD; P = .46). Differences were also found in sleep by using subjective measurements. Compared to the OCP group, BO had a worse perception of quality of sleep (P = .02), a higher frequency of nightmares (P = .01), a shorter total sleep time, and a higher sleep latency. Nevertheless, no differences were found between groups in the actigraphy measurements. ConclusionsThe BO group had a higher frequency of Mood Disorders, and at the same time a higher number of sleep disturbances in the subjective measurements. It is possible that there is an association between mood symptoms, sleep disturbances, and coffee intake. No differences were found in the sleep profile by using actigraphy.

Constructs of poor sleep quality in adolescents: associated factors.

This study aims to evaluate factors associated with sleep quality (overall and by domains) in adolescents. A cross-sectional study. This study was conducted with 1,296 first-year high school students from public schools in the Northern Region of the State of Pernambuco, Brazil. Demographic, socioeconomic, and behavioral data were obtained with a questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) Body mass index (BMI) was calculated based on the ratio of weight and height squared. Multilevel linear and logistic regressions evaluated factors associated with sleep quality. We observed 53% of adolescents reported poor sleep quality. Adolescents at higher risk of clinical depression were 3.45 times more likely to have poor sleep quality (95%CI: 2.04; 5.81), and each additional unit in the social anxiety score presented 1.03 (95%CI: 1.01; 1.05) higher odds of adolescents having poor sleep quality. Adolescents with depressive symptoms had higher sleep latency, greater sleep disturbance, and greater daytime sleep dysfunction. Social anxiety was associated with sleep latency, sleep disturbance, and daytime sleep dysfunction. Higher risk of clinical depression was associated with all domains related to sleep quality. Negative health perception was associated with sleep disturbance, and physical inactivity was associated with daytime sleep dysfunction. Social anxiety and especially higher risk of clinical depression were determinants of poor sleep quality. Changes in sleep latency, sleep disturbance and daytime sleep dysfunction seems to be relevant to poor sleep quality.

¿Los hijos de pacientes con trastorno bipolar tienen una peor percepción de la calidad de sueño?

IntroductionThe offspring of bipolar parents (BO) is a high-risk population for inheriting the bipolar disorder (BD) and other early clinical manifestations, such as sleep disturbances. ObjectiveTo compare the presence of psychiatric disorders and sleep disturbances of BO versus offspring of control parents (OCP). MethodsA cross-sectional analytical study was conducted that compared BO versus OCP. The participants were assessed using valid tools to determine the presence of psychiatric symptoms or disorders. The “Sleep Evaluation Questionnaire” and “School Sleep Habits Survey” were used to determine sleep characteristics and associated factors. Sleep records (7-21 days) were also obtained by using an actigraphy watch. ResultsA sample of 42 participants (18 BO and 24 OCP) was recruited. Differences were found in the presentation of the psychiatric disorder. The BO group showed a higher frequency of major depression disorder (MDD; P=.04) and Disruptive Mood Dysregulation Disorder (DMDD; P=.04). The OCP group showed a higher frequency of Attention Deficit and Hyperactivity Disorder (ADHD; P=.65), and Separation Anxiety Disorder (SAD; P=.46). Differences were also found in sleep by using subjective measurements. Compared to the OCP group, BO had a worse perception of quality of sleep (P=.02), a higher frequency of nightmares (P=.01), a shorter total sleep time, and a higher sleep latency. Nevertheless, no differences were found between groups in the actigraphy measurements. ConclusionsThe BO group had a higher frequency of Mood Disorders, and at the same time a higher number of sleep disturbances in the subjective measurements. It is possible that there is an association between mood symptoms, sleep disturbances, and coffee intake. No differences were found in the sleep profile by using actigraphy.

0401 Sleep Characteristic Differences During Early Postpartum in White and African American Women

Abstract Introduction In the general population, poor sleep quality and shorter sleep duration is associated with several adverse health outcomes. African American adults are more likely to report poorer sleep quality and shorter total sleep duration compared to White adults. However, there is limited information comparing sleep characteristics in White and African American women during postpartum, when many women experience reduced sleep quality. The purpose of this study was to compare sleep quality at 6-8 weeks postpartum in White and African American women. Methods White (n=84) and African American (n=37) women, who gave birth to a singleton at ≥ 37 weeks of gestation, completed the Pittsburg Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) at 6-8 weeks postpartum. The PSQI was used to assess global sleep quality, time in bed, and 7 components regarding sleep. The components included: Subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The ESS total score was used to assess daytime sleepiness. Results The global PSQI score was higher for African American women (8.8 ± 3.3, mean ± SD), indicating poorer sleep quality than White women (7.1 ± 3.0, p=.006). African American women had higher sleep latency and shorter sleep duration compared to White women (p=.0179 and p&amp;lt;.0001, respectively). Time in bed was not statistically different for African American women compared to White women (485.6 ± 143.7 and 530.8 ± 85 minutes/night, p=.08). No other components of the PSQI were significantly different between the two racial groups. African American women scored higher on the ESS than White women (8.9 ± 3.1, 6.6 ± 3.2, p=.0002) indicating greater daytime sleepiness. Conclusion These results suggest that African American women experience lower sleep quality and greater daytime sleepiness in early postpartum compared to White women. Support National Institute On Minority Health And Health Disparities of the National Institutes of Health under Award Number R21MD012740.

Sleep-Wake Cycle of Elite Athletes Prior to the Rio 2016 Olympic Games

Objective: To analyze chronotype, duration and quality of sleep among elite athletes, to compare differences in sleep variables between sex, and to compare differences between athletes of individual and team sports.&#x0D; Method: The sample included 70 Brazilian elite athletes of both sex (male=37; female=33) with a mean age 23.0 ± 4.0 years old. To measure sleep-wake cycle, athletes wore an actigraph on the wrist for 10 days. Moreover, athletes answered the chronotype questionnaire of Horne and Östberg.&#x0D; Results: The most athletes are intermediate-type (n=55, 78.6%), with a mean of 07h:18min of sleep per night. The athletes demonstrated higher sleep fragmentation (39.26 ± 23.66 minutes) and higher sleep latency (30.88 ± 16.19 minutes) during pre-competition training days. Additionally, the athletes of individual sports demonstrated more fragmentation (p&lt;0.001) and less sleep efficiency (p&lt;0.001) compared athletes of team sports. However, there was no significant difference in all sleep variables between the male and female sex.&#x0D; Conclusion: The overall elite athletes presented poor sleep quality during the training periods prior to the Rio 2016 Olympic Games, and individual athletes showed higher fragmentation and poorer sleep efficiency compared to team athletes.

Influence of Depression on Physical Activity, Symptoms of Chronic Pain And Sleep Disorders in the Female Elderly with Knee Osteoarthritis

PURPOSE This study aims to speculate the influence of depression on the physical activity, symptoms of chronic pain and sleep disorders in the elderly with knee osteoarthritis. METHODS The subjects were collected from physical measurements and questionnaires distributed to the elderly in community centers. One hundred four female knee osteoarthritis patients, aged 67-84 were divided into two groups, depressed and not-depressed mood according to the Geriatric depression scale (GDS). Physical activity was evaluated with International Physical Activity Questionnaire (IPAQ) and pain was characterized with the Short Form-McGill Pain Questionnaire (SF-MPQ). The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality of the subjects. RESULTS Of all the participants, 36.5 percent indicated depressed state according to GDS. Among the participants who has depressive mood showed significantly shorter duration of physical activity (309.8 vs. 201.9 min/d, p<.001), higher verbal numerical pain score (6.08 vs. 4.18, VNRS) than not-depressed group. The depressed group suffered from higher sleep latency (1.99 vs. 1.36, p<.01, p<.01), shorter sleep duration (1.88 vs. 1.48, p<.01), higher sleep disturbance (1.61 vs. 1.12, p<.05) with the difference in the Global PSQI (9.12 vs. 7.47, p<.01). CONCLUSIONS Therefore, we may conclude that depressive mood may major role in the duration of their physical activity, pain sensitizing, and sleep quality in the female elders with knee osteoarthritis. It seems that optimal interventions such as treatment, environment and intervention programs are required to improve their mood not only for their health condition but also for their quality of life. 색인어: ê´€ì ˆì—¼, 통증, ì‹ ì²´í™œë™, 수면, ë ¸ì¸ Keywords: Elderly, Knee, Osteoarthritis, Physical activity, Pain, Sleep

Polysomnographic data in Dementia with Lewy Bodies: correlation with clinical symptoms and comparison with other α-synucleinopathies

IntroductionSleep dysfunction is frequent in Dementia with Lewy Bodies (DLB), but polysomnographic (PSG) data is scarce. Our objectives were to: (1) compare PSG data between DLB patients and age normative values (NV), Parkinson's Disease (PD) and idiopathic REM sleep behavior disorder (iRBD) patients; (2) evaluate the relation between of OSA, Fluctuations and Hypersomnolence and PSG data. MethodsWe selected all consecutive patients with DLB, PD and iRBD that underwent video-PSG during a two year period. Clinical data was collected by file review. Video-PSG data included sleep structure, Apnea-Hypopnea Index (AHI), REM sleep atonia indexes and video file inspection of motor events (ME) during REM sleep. ResultsSubjects: In this study, 19 DLB, 51 PD and 20 iRBD patients participated. Of those, nine DLB (DLB-RBD) and 23 PD (PD-RBD) patients had RBD. Compared to NV, DLB patients had significantly lower sleep efficiency, total sleep time, and REM sleep duration and higher sleep latency, wake after sleep onset and N2 duration. There were no significant relations between PSG data and OSA, hypersomnolence or fluctuations. Sleep latency and AHI were significantly higher and lower, respectively, in DLB compared to PD patients. ME frequency was higher in iRBD. ConclusionDLB patients present significant sleep fragmentation and shortened total and REM sleep time. These changes were not related with OSA, fluctuations or hypersomnolence, suggesting a different pathophysiology. PSG data was similar in the three RBD groups, in accordance with a common neuropathological origin, except for an increase in RBD severity in patients with iRBD.

The association of sleep and late‐night cell phone use among adolescents

ObjectiveThis study aims to assess the relationship of late‐night cell phone use with sleep duration and quality in a sample of Iranian adolescents. MethodsThe study population consisted of 2400 adolescents, aged 12–18 years, living in Isfahan, Iran. Age, body mass index, sleep duration, cell phone use after 9p.m., and physical activity were documented. For sleep assessment, the Pittsburgh Sleep Quality Index questionnaire was used. ResultsThe participation rate was 90.4% (n=2257 adolescents). The mean (SD) age of participants was 15.44 (1.55) years; 1270 participants reported to use cell phone after 9p.m. Overall, 56.1% of girls and 38.9% of boys reported poor quality sleep, respectively. Wake‐up time was 8:17 a.m. (2.33), among late‐night cell phone users and 8:03a.m. (2.11) among non‐users. Most (52%) late‐night cell phone users had poor sleep quality. Sedentary participants had higher sleep latency than their peers. Adjusted binary and multinomial logistic regression models showed that late‐night cell users were 1.39 times more likely to have a poor sleep quality than non‐users (p‐value<0.001). ConclusionLate‐night cell phone use by adolescents was associated with poorer sleep quality. Participants who were physically active had better sleep quality and quantity. As part of healthy lifestyle recommendations, avoidance of late‐night cell phone use should be encouraged in adolescents.

Sleep disturbances as predictors of prolonged exposure therapy effectiveness among veterans with PTSD

Sleep disturbances (SD) are pronounced in Veterans with posttraumatic stress disorder (PTSD). In clinical trials, SD have been shown to limit the effectiveness of evidence-based treatments for non-PTSD disorders. The purpose of this study was to investigate the relationships between pretreatment SD and the effectiveness of Prolonged Exposure (PE) therapy for Veterans with PTSD. Twenty-one Veterans completed the Pittsburgh Sleep Quality Index (PSQI) and the Clinician Administered PTSD Scale upon presenting to a PTSD specialty clinic. Veterans completed the PTSD Symptom Checklist-Civilian (PCL-C) at the initiation of PE and biweekly thereafter for the duration of treatment (96 total assessments). Correlations and hierarchical linear modeling were utilized to examine the potential impact of baseline sleep variables on the slope and magnitude of treatment outcomes. Higher PSQI total scores, and higher sleep latency and sleep medication use subscale scores were associated with higher PCL-C scores at baseline. Veterans evidenced significant reductions in PTSD symptoms during the course of the treatment study. Total PSQI scores and composites were not associated with reduced effectiveness of PE treatment or the slope of PTSD symptom changes. Sleep disturbances do not preclude Veterans from benefits derived from engagement in this gold standard PTSD intervention.

The association of sleep and late-night cell phone use among adolescents

ObjectiveThis study aims to assess the relationship of late-night cell phone use with sleep duration and quality in a sample of Iranian adolescents. MethodsThe study population consisted of 2400 adolescents, aged 12–18 years, living in Isfahan, Iran. Age, body mass index, sleep duration, cell phone use after 9p.m., and physical activity were documented. For sleep assessment, the Pittsburgh Sleep Quality Index questionnaire was used. ResultsThe participation rate was 90.4% (n=2257 adolescents). The mean (SD) age of participants was 15.44 (1.55) years; 1270 participants reported to use cell phone after 9p.m. Overall, 56.1% of girls and 38.9% of boys reported poor quality sleep, respectively. Wake-up time was 8:17 a.m. (2.33), among late-night cell phone users and 8:03a.m. (2.11) among non-users. Most (52%) late-night cell phone users had poor sleep quality. Sedentary participants had higher sleep latency than their peers. Adjusted binary and multinomial logistic regression models showed that late-night cell users were 1.39 times more likely to have a poor sleep quality than non-users (p-value<0.001). ConclusionLate-night cell phone use by adolescents was associated with poorer sleep quality. Participants who were physically active had better sleep quality and quantity. As part of healthy lifestyle recommendations, avoidance of late-night cell phone use should be encouraged in adolescents.

Levels of Inflammatory Markers and Quality of Sleep

Levels of Inflammatory Markers and Quality of Sleep

Study on the polysomnography of the patients with depression

Objective To investigate the variations of polysomnography of the patients with retardative depression and non-retardative depression. Methods Twenty-eight patients with depression without any medicine at least for 1 month and fifteen normal controls were assessed in this study. Based on the scores of retardation of Hamilton Depression Scale( HAMD), the patients were divided into the group of retardative depression and the group of non-retardative depression. Polysomnography was given to all the subjects. Results Compared with the normal controls, the depressive patients both in the retardative depression group and in the non-retardative depression group showed significant differences of lower total sleep time (TST), sleep efficiency (SE), SWS% , rapid eye movement ) sleep time ( RT), REM sleep latency (RL) ( all P ＜ 0. 05 ), and higher sleep latency (SL) , awakening time( AT), awakening number( AN ), the percentage of AT( A/TST% ), the percentage of 1 sleep( S1 % ), the percentage of RT( RT% ), REM activity ( RA), and REM intensity (RI). REM density (RD) in the retardative depression group was significantly higher than both the non-retardative depression group and the control group ( t =2.36, P＜ 0. 05; t = 2.75, P＜ 0. 05 ). Conclusion Abnormalities of PSG in depression are proved, and RD may be relative to retardation. The differences of PSG do not existed between different kinds of depression such as retardative depression and non-retardative depression. Key words: Retardative depression; Non-retardative depression; Polysomnography

Poor Sleep Is Associated With Impaired Cognitive Function in Older Women: The Study of Osteoporotic Fractures

The association between objectively measured sleep and cognition among community-dwelling elderly persons remains understudied. This observational, cross-sectional analysis examined this association. Results are from 2932 women (mean age 83.5 years) in the Study of Osteoporotic Fractures between 2002 and 2004. Cognitive function was measured by Mini-Mental State Examination (MMSE) and Trail Making B Test (Trails B). Cognitive impairment was defined as MMSE < 26 or Trails B > 278 seconds. Sleep parameters measured objectively using actigraphy included total sleep time, sleep efficiency, sleep latency, wake after sleep onset (WASO), and total nap time. There were 305 women (10.6%) with MMSE < 26 and 257 women (9.3%) with Trails B > 278 seconds. Compared with women with sleep efficiency > or = 70%, those with <70% had a higher risk of cognitive impairment (MMSE < 26 multivariate odds ratio [MOR] = 1.61; 95% confidence interval [CI], 1.20-2.16; Trails B > 278 MOR = 1.96; 95% CI, 1.43-2.67). Higher sleep latency was associated with higher risk of cognitive impairment (per half hour: MMSE < 26 MOR = 1.23; 95% CI, 1.13-1.33; Trails B > 278 MOR = 1.13; 95% CI, 1.04-1.24), as was higher WASO (per half hour: MMSE < 26 MOR = 1.15; 95% CI, 1.06-1.23; Trails B > 278 MOR = 1.24; 95% CI, 1.15-1.34). Women who napped > or = 2 hours per day had a higher risk (MMSE < 26 MOR = 1.42; 95% CI, 1.05-1.93; Trails B > 278 MOR = 1.74; 95% CI, 1.26-2.40). There was no significant relationship for total sleep time. Objectively measured disturbed sleep was consistently related to poorer cognition, whereas total sleep time was not. This finding may suggest that it is disturbance of sleep rather than quantity that affects cognition.