scholarly journals Sleep Duration, Subjective Sleep Need, and Sleep Habits of 40- to 45-Year-Olds in the Hordaland Health Study

SLEEP ◽  
2005 ◽  
Vol 28 (10) ◽  
pp. 1260-1269 ◽  
Author(s):  
Reidun Ursin ◽  
Bjørn Bjorvatn ◽  
Fred Holsten
Keyword(s):  
Sleep Duration ◽  
Health Study ◽  
Sleep Habits ◽  
Subjective Sleep

scholarly journals Sleep in 40-45-year-olds in Hordaland county, Norway / Søvn hos 40-45 åringer i Hordaland

2009 ◽  
Vol 16 (2) ◽  
Author(s):  
Reidun Ursin ◽  
Fred Holsten ◽  
Bjørn Bjorvatn
Keyword(s):  
Standard Deviation ◽  
Sleep Duration ◽  
Rural Areas ◽  
Wide Distribution ◽  
Population Based ◽  
Cross Sectional Study ◽  
Health Study ◽  
Cross Sectional ◽  
Shift Workers ◽  
Subjective Sleep

<p>This population-based cross-sectional study with self-administered questionnaires was conducted as part of the Hordaland Health Study ‘97-‘99 in collaboration with the Norwegian National Health Screening Service. The present paper is a revised and abbreviated version of a report on the study published in Sleep (1). A total of 8860 subjects aged 40-45 years answered the sleep questionnaire part of the study. Reports on habitual bedtimes, rise times, subjective sleep need and various sleep characteristics were used in this study. Mean (± standard deviation (SD)) nocturnal sleep duration during weekdays in men was 6h 52min (±55min); in women 7h 11min (±57min). Mean subjective sleep need was 7h 16min (±52min) in men; 7h 45min (±52min) in women. Sleep duration was shorter in shift workers and longer in married subjects and in those living in rural areas. In total the socioeconomic variables accounted for only around three per cent of the variance in sleep duration and sleep need. Ten per cent of the men and 12.2 per cent of the women reported frequent insomnia. The wide distribution of sleep duration and subjective sleep need indicate large inter-individual variations in these parameters. There were pronounced gender differences in these variables and in most of the sleep characteristics studied</p><p>Denne studien var en del av Hordalandsundersøkelsen ‘97-’99 som var en populasjonsbasert tverrsnittsstudie og ble utført i samarbeid med Statens Helseundersøkelser. Her presenteres en revidert og forkortet utgave av en rapport som ble publisert i tidsskriftet Sleep i 2005 (1). Totalt 8860 personer mellom 40 og 45 år besvarte spørreskjema med en rekke spørsmål om søvnvaner og søvnkarakteristika. Gjennomsnittlig nattlig søvnlengde (± standard deviation (SD)) var 6 timer 52 min (±55min) for menn, 7 timer 11 min (±57min) for kvinner, variasjonsbredden for begge kjønn var fra 3 til 11 timer. På fridager sov begge kjønn 1 time lenger enn på arbeidsdager. Gjennomsnittlig subjektivt søvnbehov var 7 timer 16 min (±52 min) for menn og 7 timer 45 min (±52 min) for kvinner. Søvnlengden var signifikant kortere hos skiftarbeidere og lengre hos gifte/samboende og hos de som bodde i landlige områder. Totalt sett forklarte de sosioøkonomiske variablene bare ca. tre prosent av variansen i søvnlengde og søvnbehov. Ti prosent av mennene og 12 prosent av kvinnene rapporterte søvnløshet minst en gang per uke. Den brede distribusjonen av søvnlengde og subjektivt søvnbehov viser at det er store interindividuelle variasjoner i disse parametrene. Det var klare kjønnsforskjeller i disse variablene og i de fleste søvnkarakteristika som ble studert</p>

Subjective Sleep Debt Is Correlated with Body Fat Percentage Independent of Sleep Duration

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1675-P
Author(s):  
XIAO TAN ◽  
CHRISTIAN BENEDICT
Keyword(s):  
Sleep Duration ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Subjective Sleep ◽  
Sleep Debt

scholarly journals The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Seasonal Effects ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Sleep Behavior ◽  
Weather Effects ◽  
Wake Time ◽  
Multimodal Sensing ◽  
Four Seasons ◽  
Local Weather

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.

scholarly journals Association between sleep habits and symptoms of oral disease in adolescents: the 2017 Korea Youth Risk Behavior Web-based Survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eun-Sil Choi ◽  
Hyun-Sun Jeon ◽  
So-Jung Mun
Keyword(s):  
Risk Behavior ◽  
Sleep Duration ◽  
Oral Disease ◽  
Type B ◽  
Quality Of Sleep ◽  
Sleep Habits ◽  
Web Based ◽  
Disease Symptoms ◽  
Youth Risk Behavior

Abstract Background This cross-sectional study aimed to examine the relationship between sleep habits and oral disease symptoms in adolescents. Methods Among 62,276 adolescents who participated in the 13th Korea Youth Risk Behavior Web-based Survey (2017), we selected a total of 54,766 adolescents (age, 12–18 years; male, 49.9%) for the final analysis, after excluding those who did not report their sleep duration. The 13th Korea Youth Risk Behavior Web-based Survey data were obtained from a stratified, multistage, clustered sample. Independent variables included general characteristics, oral health behavior, sleep types, sleep duration, and sleep quality; dependent variables comprised oral disease symptoms. Sleep was categorized according to bedtime astype A (bedtime < 1 a.m.) and type B (bedtime ≥ 1 a.m.). Data were analyzed using logistic regression analysis. Statistical significance was set at p < 0.05. Results After adjusting for all covariates, adolescents with type A sleep had a higher risk of toothache on chewing (OR = 1.08, 95% CI 1.02–1.15) than adolescents with type B. Adolescents who slept for 6 h or less each night had a higher risk of pain in the tongue and buccal mucosa (OR = 1.35, 95% CI 1.18–1.54), gingival pain, and bleeding (OR = 1.31, 95% CI 1.19–1.45) than those who slept for more than 8 h. Adolescents with low quality of sleep had a higher risk of toothache or throbbing (OR = 1.70, 95% CI 1.60–1.81), toothache on chewing (OR = 1.73, 95% CI 1.65–1.82), and halitosis (OR = 1.51, 95% CI 1.41–1.59) than those with high quality of sleep. Conclusions Our findings indicate that some oral symptoms are related to sleep duration and quality. It is essential to inculcate good sleeping habits in adolescents by emphasizing the effects of inadequate sleep duration and quality.

172 Sleep Disparities in Preschool-Aged Children

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A70-A70
Author(s):  
Jennifer Holmes ◽  
Olivia Hanron ◽  
Rebecca Spencer
Keyword(s):  
Sleep Duration ◽  
Ethnic Disparities ◽  
Data Race ◽  
Older Children ◽  
Hispanic Children ◽  
Sleep Habits ◽  
Chi Square ◽  
White Children ◽  
Race Ethnicity ◽  
And Gender

Abstract Introduction Sleep is known to be associated with socioeconomic status (SES) in older children and adults with those from lower SES households often experiencing poorer sleep quality. Whether this disparity exists in early childhood is relatively unknown, despite being an important age marked by sleep transitions and the establishment of lifelong sleep habits. Furthermore, it is a critical period for cognitive development and learning, which are supported by sleep. Here, we explore associations between sleep and SES in a preschool population. We hypothesized that children from lower SES households would exhibit shorter overnight sleep, longer and more frequent naps, and shorter 24-hr sleep. Additionally, we considered racial and ethnic disparities in sleep which can be confounded with SES in some samples. Methods Child (n=441; M age=51.9mo; 45.4% female) sleep was measured objectively using actigraph watches, worn for 3-16 days (M=9.5 days). Caregivers reported child demographics and household data. Race/ethnicity of our sample was 72% White, 10.2% Black, 17.8% other or more than one race, and 28.4% identified as Hispanic. 20.1% of our sample was categorized as low SES. Effects of SES and race/ethnicity on continuous sleep measures were assessed using multiple regression models, with age and gender as covariates. Nap habituality was assessed using chi-square tests. Results Lower SES was associated with shorter nighttime sleep duration, longer nap duration, and shorter 24-hr sleep duration (p’s&lt;.001). Children from lower SES households were also more likely to nap habitually (p=.04) as were Hispanic children (p&lt;.001). Hispanic children also tended to have longer nap bouts (p=.002). Hispanic and Black children on average had shorter overnight sleep durations than White children (p’s&lt;.04), but their 24-hr sleep did not differ. Conclusion SES-related sleep disparities were present in this preschool population, with lower SES children exhibiting poorer sleep. When controlling for SES, Hispanic children tended to sleep less overnight which was compensated for by longer, more frequent naps. This underscores the necessity of naps for some children to achieve adequate sleep. Future directions will explore the relationship between parenting factors and sleep, such as bedtime routines and parent knowledge surrounding child sleep needs. Support (if any) NIH R01 HL111695

304 The relationship between basic personality, subjective sleep duration, and psychological distress during a military deployment

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A121-A121
Author(s):  
Walter Sowden ◽  
Alexxa Bessey ◽  
Julie Merrill ◽  
Ashlee Mckeon ◽  
Jake Choynowski ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Personality Traits ◽  
Sleep Duration ◽  
Big Five ◽  
Military Personnel ◽  
The United States ◽  
Post Traumatic Stress ◽  
Medicine Research ◽  
Subjective Sleep ◽  
The Relationship

Abstract Introduction Extended, overseas operations (deployments) increase the likelihood that military personnel will experience psychological distress. Reduced sleep during deployments is a key correlate of psychological distress. Thus, it is imperative to identify mechanisms that adaptively modulate the relationship between insufficient sleep and psychological distress. Research has recently connected basic personality traits (i.e., the Big Five: extraversion, agreeableness, conscientiousness, neuroticism, and openness) to more sleep. The current project aimed to examine the relationship between basic personality traits, subjective sleep duration (SSD), and psychological distress during an operational deployment. Methods 488 soldiers took surveys both prior to and half-way through a nine-month deployment. The pre-deployment survey included the Big Five Index, and three standardized measures of psychological distress commonly used to screen military personnel for anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-8), and post-traumatic stress (Posttraumatic Symptom Disorder Checklist; PCL-4). The mid-deployment survey included an item from the Pittsburgh Sleep Quality Index measuring SSD and the same psychological distress measures from the pre-deployment survey. General linear models were used to test the interaction between SSD and each basic personality trait on each measure of psychological distress at mid-deployment while accounting for psychological distress at pre-deployment. Results Of the Big Five, conscientiousness was the only trait to significantly moderate the relationship between SSD and anxiety, t = 2.11, p = .035, where higher conscientiousness weakened the relationship. Further only agreeableness attenuated the relationship between depression and SSD, t = 2.10, p = .036. Interestingly, the only Big Five trait that moderated the relationship between SSD and PTS was openness, insomuch that openness strengthened the relationship, t = -1.92, p = .055. Conclusion The relationship between SSD and psychological distress was uniquely impacted by different personality traits. These results reinforce the age-old concept that behavior is the product of a complex, nuanced, and puzzling interaction between the individual and the environment. The current research motivates further research into personality as an adaptive mechanism for optimizing military wellbeing. Support (if any) Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC).

Sleep habits and their association with daytime sleepiness among medical students of Tanta University, Egypt

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Salwa A. Atlam ◽  
Hala M. Elsabagh
Keyword(s):  
Medical Students ◽  
Sleep Disorders ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Sleep Habits ◽  
Restless Legs ◽  
Sleeping Pills ◽  
Life Pattern ◽  
Waking Up ◽  
Malaysian Students

AbstractObjectivesThis study aimed to assess the sleep quality (habits and disorders) and the daytime sleepiness among medical students.MethodsA cross-sectional questionnaire-based study was conducted during September 2018, through November 2018 at the Faculty of Medicine, Tanta University, Egypt. The study recruited undergraduate Egyptian and Malaysian students and applied a modified form of two questionnaires, namely the Sleep Habits and Life Style and the Epworth Sleepiness Scale (ESS)”. Statistical analysis was done using SPSS. The results were expressed as frequency, percentage, and mean ± standard deviation (SD). Chi-square test was used to explore associations between categorical variables. An independent sample t-test was used to detect the mean differences between groups. Ordinal regression analyses were done on the ESS findings in relation to demographics and sleep habits. p-values<0.05 were accepted as statistically significant.ResultsThe study included 899 medical students. Most of the participants were Egyptians (67%), rural residents (57.4%), and in the preclinical stage (79.5%). Males represented 66.0% of the study participants and participants average age (SD) was 21.98 (1.13) years. The average durations (SD) of night sleep were 7.3 (1.6) hours in work days and 8.7 (2.1) hours during the weekends. Both were significantly longer among young (<21 years-old) and preclinical students (p<0.05). Students had on average (SD) 1.33 (0.29) hours duration of napping, but 60% of the participants never or rarely scheduled for napping. Larger proportion of male and Malaysian students sometimes scheduled for napping more significantly than their peers (p<0.05). Only 16.24% of students reported that the cause of daytime napping was no enough sleep at night. The students reported sleep disorders of insomnia in the form of waking up too early, trouble falling asleep, or waking up at night with failure to re-sleep (31, 30, and 26%, respectively). Snoring (22.2%) and restless legs (22.0%) were also reported by the students. High chances of dozing off was reported by 22.02% of the participants, of which 10% used sleeping pills, 41.4% suffered psychological affection, and 34.8% reported life pattern affection. We found an increased chance of daytime sleepiness among males (0.430 times) and Egyptian (2.018 times) students. There was a decreased chance of daytime sleepiness in students from rural areas and those below 21-years-old (0.262 and 0.343 times, respectively). Absence of chronic diseases suffering was significantly associated with 5.573 more chance of daytime sleepiness or dozing off. In addition, enough and average sleep at night significantly decreased the chance of daytime sleepiness by 6.292 and 6.578, respectively, whereas daytime consumption of caffeinated beverages significantly decreased the chance of daytime sleepiness by 0.341.ConclusionThere was unbalanced sleep duration in work days and weekends as well as lack of scheduling for napping among the students. Sleep disorders as insomnia, snoring, and restless legs were associated with excessive daytime sleepiness. Some students who suffered daytime sleepiness also underwent psychological and life pattern affection including taking sleeping pills. Enough and average sleep duration at night as well as daytime consumption of caffeinated beverages decreased the chance of daytime sleepiness.

scholarly journals 192 Self-reported sleep features in the Italian population across the first and second wave of the COVID-19 pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A77-A78
Author(s):  
Oreste De Rosa ◽  
Nicola Cellini ◽  
Francesca Conte ◽  
Serena Malloggi ◽  
Fiorenza Giganti ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Italian Population ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Time Points ◽  
Time In Bed ◽  
Second Wave

Abstract Introduction Several studies have shown the negative impact of COVID-19-related confinement measures (spring 2020) on sleep features and quality. Here we aim to follow-up on these data by assessing self-reported sleep characteristics during the second wave of the pandemic (autumn 2020) in Italy, where the government responded with a second, partial, lockdown. Methods Using a longitudinal approach, 214 participants (Mage=36.78±14.2y; 159F) who had participated in a previous survey (April 2020 – Total Lockdown, TL) completed the same online survey from November 10th to December 1st (Partial Lockdown, PL). In each survey, participants had to respond to a set of questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), referring to their current situation and, retrospectively, to their situation before the lockdown, resulting in four time-points (pre-TL, TL, pre-PL, PL). Results Linear mixed-model analysis showed that bedtime was delayed from pre-TL (23:46) to TL (24:42) and then linearly advanced in pre-PL (24:02) and PL (23:56). The same pattern emerged for rise time (pre-TL: 07:48, TL: 9:05, pre-PL: 8:28, PL: 7:58) and time in bed, which increased from pre-TL (8h4min) to TL (8h24min) and then linearly decreased (pre-PL: 8h15m, PL: 8h2m). Subjective sleep quality decreased in the two lockdowns compared to the period with no restrictions. The proportion of poor sleepers (PSQI&gt;5) increased from 39.7% (pre-TL) to 48.6% in TL and again from 36.9% (pre-PL) to 47.7% in PL. Conclusion Sleep habits and quality showed different profiles across four time-points of the COVID-19 pandemic and related restrictive measures. Sleep timing alterations appeared during the first lockdown, recovered after the confinement period, and almost returned to baseline during the second lockdown (likely due to a normalization of working schedules). Instead, subjective sleep quality markedly worsened during both lockdowns relative to the preceding respective months. These data suggest that subjective sleep quality is particularly sensitive to changes in life habits and psychological factors, independently of sleep habits. Considering that the pandemic situation may continue for several months, there is a need for interventions targeting sleep quality. Support (if any) N/A

Changes in the Self-Reported Consistency of Normal Habitual Sleep Duration of College Students (1978 and 1992)

1992 ◽  
Vol 75 (3_suppl) ◽  
pp. 1168-1170 ◽  
Author(s):  
Roberta. Hicks ◽  
Crystal Johnson ◽  
Robert J. Pellegrini
Keyword(s):  
College Students ◽  
Sleep Duration ◽  
The Self ◽  
Sleep Habits ◽  
Large Samples

Changes in the consistency of self-reported sleep habits within two large samples of 763 and 782 college students were assessed for 1978 and 1992. Noteworthy changes over the 14-yr. period included significant decreases in the percentage of students who claimed stable (⩾ 5-year) sleep-duration habits and the percentage reporting satisfaction with their sleep.

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