scholarly journals Association between Depressed Mood and Sleep Duration among Various Ethnic Groups—The Helius Study

2021 ◽  
Vol 18 (13) ◽  
pp. 7134
Author(s):  
Kenneth Anujuo ◽  
Karien Stronks ◽  
Marieke B. Snijder ◽  
Anja Lok ◽  
Girardin Jean-Louis ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Sleep Duration ◽  
Depressed Mood ◽  
Population Attributable Fraction ◽  
Cross Sectional ◽  
Short Sleep ◽  
Sum Score ◽  
Helius Study ◽  
Long Sleep ◽  
Patient Health

Background: We examined the association between depressed mood (DM) and sleep duration in a multi-ethnic population in Amsterdam, and the extent to which DM accounts for both short and long sleep. Methods: Cross-sectional data using 21,072 participants (aged 18–71 years) from the HELIUS study were analyzed. Sleep duration was classified as: short, healthy, and long (<7, 7–8, and ≥9 h/night). A Patient Health Questionnaire (PHQ-9 sum score ≥10) was used to measure DM. The association between DM and sleep duration was assessed using logistic regression. The extent to which DM accounted for short and long sleep was assessed using a population attributable fraction (PAF). Results: DM was significantly associated with short sleep in all ethnic groups after adjustment for other covariates (OR 1.9 (1.5–2.7) in Ghanaians to 2.5 (1.9–32) in the Dutch). DM was not associated with long sleep except in the Dutch (OR 1.9; 1.3–2.8). DM partly accounted for the prevalence of short sleep with PAF ranging from 3.5% in Ghanaians to 15.5% in Turkish. For long sleep, this was 7.1% in the Dutch. Conclusions: DM was associated with short sleep in all ethnic groups, except in Dutch. If confirmed in longitudinal analyses, strategies to reduce depression may reduce the prevalence of short sleep in concerned groups.

scholarly journals Sleep Duration and Sleep Quality Are Associated with Physical Activity in Elderly People Living in Nursing Homes

2018 ◽  
Vol 15 (11) ◽  
pp. 2512 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Vrgoč ◽  
Tomislav Rupčić ◽  
Goran Sporiš ◽  
Damir Sekulić
Keyword(s):  
Physical Activity ◽  
Nursing Homes ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Short Sleep ◽  
Long Sleep ◽  
Good Sleep

The main purpose of the study was to explore the associations of sleep duration and sleep quality with physical activity (PA). In this cross-sectional study, participants were 894 elderly individuals (mean age 80 ± 3 years; 56.0% women) living in nursing homes. PA, sleep duration, and sleep quality (based on the Pittsburgh Sleep Quality Index (PSQI)) were self-reported. The associations of sleep duration and sleep quality with PA at the nursing home level were analyzed using generalized estimating equations with clustering. Participants reporting short sleep duration (<6 h; OR = 0.45; 95% CI 0.25–0.80) were less likely to report sufficient PA, yet those reporting long sleep duration (>9 h; OR = 2.61; 95% CI 1.35–5.02) and good sleep quality (<5 points; OR = 1.59; 95% CI 1.19–2.12) were more likely to report sufficient PA. When sleep duration and sleep quality were entered into the same model, the same associations remained. This study shows that elderly individuals who report short sleep duration are less likely to meet PA guidelines, while those who report long sleep duration and good sleep quality are more likely to meet PA guidelines. Strategies aiming to improve sleep duration and sleep quality are warranted.

scholarly journals Associations of Urinary Phytoestrogen Concentrations with Sleep Disorders and Sleep Duration among Adults

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2103 ◽  
Author(s):  
Jing Sun ◽  
Hong Jiang ◽  
Weijing Wang ◽  
Xue Dong ◽  
Dongfeng Zhang
Keyword(s):  
Sleep Disorders ◽  
Sleep Duration ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Current Evidence ◽  
Relative Risk Ratio ◽  
Cross Sectional ◽  
Short Sleep ◽  
Long Sleep ◽  
Normal Sleep

Current evidence on the relationship of phytoestrogens with sleep is limited and contradictory. In particular, studies on individual phytoestrogens and sleep have not been reported. Thus, this study aimed to appraise the associations of individual phytoestrogens with sleep disorders and sleep duration. This cross-sectional study comprising 4830 adults utilized data from the National Health and Nutrition Examination Survey 2005–2010. Phytoestrogens were tested in urine specimens. Sleep disorders and sleep duration were based on a self-reported doctor’s diagnosis and usual sleep duration. The main analyses utilized logistic and multinomial logistic regression models and a restricted cubic spline. In the fully adjusted model, compared with tertile 1 (lowest), the odds ratios (95% confidence intervals (CIs)) of sleep disorders for the highest tertile of urinary concentrations of enterolactone, enterodiol, and O-desmethylangolensin were 0.64 (0.41–1.00), 1.54 (1.07–2.21), and 1.89 (1.26–2.85), respectively. Linear inverse, approximatively linear positive, and inverted L-shaped concentration–response relationships were found between enterolactone, enterodiol, and O-desmethylangolensin and sleep disorders, respectively. Compared with normal sleep (7–8 h/night), the relative risk ratio (RRR) (95% CI) of very short sleep for enterolactone was 0.56 (0.36–0.86), and the RRR (95% CI) of long sleep risk for genistein was 0.62 (0.39–0.99). Furthermore, negative associations of genistein with sleep disorders and enterolactone with long sleep risk, as well as positive associations of enterodiol with both long and very short sleep, were observed in the stratified analysis by age or gender. Finally, a notable finding was that urinary O-desmethylangolensin concentration was positively related to sleep disorders in both females aged 40–59 years and non-Hispanic Whites but inversely associated with sleep disorders in both females aged 60 years or over and other Hispanics. Our findings suggested that enterolactone and genistein might be beneficial for preventing sleep disorders or non-normal sleep duration among adults, and enterodiol might be adverse toward this goal. However, the association of O-desmethylangolensin with sleep disorders might be discrepant in different races and females of different ages.

scholarly journals Association between sleep time and depression: a cross-sectional study from countries in rural Northeastern China

2017 ◽  
Vol 45 (3) ◽  
pp. 984-992 ◽  
Author(s):  
Jiang Mohan ◽  
Guo Xiaofan ◽  
Sun Yingxian
Keyword(s):  
Sleep Duration ◽  
Rural Areas ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Liaoning Province ◽  
Sectional Study ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Long Sleep ◽  
Patient Health

Objective To investigate the current situation of sleep status and examine its association with depression among counties in rural areas of Liaoning Province, China. Methods This cross-sectional study was conducted from January 2012 to August 2013 in Northeast China. A total of 11,276 subjects aged ≥35 years were surveyed and completed the Patient Health Questionnaire-9; each participant answered questions about their sleep duration. Results For individuals with a sleep time of ≤6, 6–7, 7–8, 8–9, and ≥9 h, the respective risk of depression was 10.8%, 3.7%, 2.6%, 2.7%, and 5.7% in subjects younger than 65 years old and 15.2%, 5.4%, 3.2%, 6.5%, and 8.6% in those 65 years old or older. Conclusion In the rural population of Liaoning Province, sleep duration and depression are closely related. Both short sleep and long sleep are risk factors for depression. Optimizing sleep status may contribute to good physical and mental health.

scholarly journals Peruvians’ sleep duration: analysis of a population-based survey on adolescents and adults

2013 ◽  
Author(s):  
Rodrigo M. Carrillo-Larco ◽  
Antonio Bernabé-Ortiz ◽  
J. Jaime Miranda ◽  
Jorge Rey de Castro
Keyword(s):  
Sleep Duration ◽  
Rural Areas ◽  
Multivariable Analysis ◽  
Secondary Analysis ◽  
Population Level ◽  
Educational Status ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Short Sleep ◽  
Long Sleep

Sleep duration, either short or long, has been associated with diseases such as obesity, type-2 diabetes and cardiovascular diseases. Characterizing the prevalence and patterns of sleep duration at the population-level, especially in resource-constrained settings, will provide informative evidence on a potentially modifiable risk factor. The aim of this study was to explore the patterns of sleep duration in the Peruvian adult and adolescent population, together with its socio-demographic profile. This is a cross-sectional study, secondary analysis of the Use of Time National Survey conducted in 2010. Weighted means and proportions were used to describe sleep duration according to socio-demographic variables. Poisson regressions, taking into account the multistage sampling design of the survey, were used to calculate crude and adjusted prevalence ratios (PR) and 95% confidence intervals (95% CI). Main outcomes were short- (<6 hours) and long-sleep duration (≥9 hours). A total of 12,424 observations, mean age 35.8 years (SD ±17.7), 50.6% males, were included in the analysis. On average, Peruvians slept 7.7 hours (95% CI 7.4-8.0) on weekdays and 8.0 hours (95% CI 7.8-8.1) during weekends. The proportions of short- and long-sleep, during weekdays, were 4.3% (95% CI 2.9%-6.3%) and 22.4% (95% CI 14.9%-32.1%), respectively. Regarding urban and rural areas, a much higher proportion of short-sleep was observed in the former. On the multivariable analysis, compared to regular-sleepers (≥6 to <9 hours), short-sleepers were twice more likely to be older and to have higher educational status, and 50% more likely to be currently employed. Similarly, relative to regular-sleep, long-sleepers were more likely to have a lower socioeconomic status as per educational attainment. In this nationally representative sample, the sociodemographic profile of short-sleep contrasts the long-sleep. These scenarios in Peru, as depicted by sleeping duration, differ from patterns reported in other high-income settings and could serve as the basis to inform and to improve sleep habits in the population.

Abstract P109: The Cross-sectional and Longitudinal Association of Dispositional Optimism with Sleep Duration and Quality: Findings form the Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rosalba Hernandez ◽  
Thanh-Huyen T Vu ◽  
Kiarri N Kershaw ◽  
Mercedes Carnethon ◽  
Kristen L Knutson ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Lower Odds ◽  
Short Sleep ◽  
Long Sleep

Background: Sleep disturbance is associated with multiple adverse cardiovascular-related health outcomes. Little is known about the relationship between psychological well-being, an independent modifiable risk factor for cardiovascular disease, and sleep disruptions. This study examines cross-sectional and longitudinal associations of optimism with sleep duration and quality. Methods: Data were collected from 3,549 Black and White adults aged 33-45 years who participated in the Coronary Artery Risk Development in Young Adults (CARDIA) study during follow-up years 15 (2000-2001) and 20 (2005-2006). Optimism was assessed in 2000-2001 using the Life-Orientation Test—Revised, with possible scores ranging from 6 (least optimistic) to 30 (most optimistic). Single-item questions on sleep quality and duration in the past month were assessed during 2000-2001 and 2005-2006. Cross-sectional analyses considered optimism and sleep measures at follow-up year 15. Longitudinal analyses considered 5-year incidence of poor sleep quality (fairly/very bad) and duration (short/long sleep) in 2005-2006 by optimism in 2000-2001 (participants with poor sleep quality and duration in 2000-2001 were excluded). Results: Among 3,549 participants (56% female, 46% Black) with complete data on optimism in 2000-2001, 15.9% reported fairly/very bad sleep quality. Sleep duration was distributed as follows: short-sleep (47.9%), sufficient sleep (31.6%), and long-sleep (20.5%). In unadjusted and fully adjusted models, a 1-unit higher optimism score was cross-sectionally associated with 11% lower odds of having fairly/very bad sleep quality and 3-5% lower odds of having short-sleep duration (Table 1). Cross-sectional associations were attenuated after adjustment for depressive symptoms (not shown). Incidence of poor sleep quality in 2005-2006 was 7% lower with each unit higher optimism score, after full adjustment. Conclusion: Optimism is associated with lower incidence of poor self-reported sleep quality over a 5-year period.

scholarly journals Sleep Duration and the Risk of Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianian Hua ◽  
Hezi Jiang ◽  
Hui Wang ◽  
Qi Fang
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
Cross Sectional Studies

Objective: Epidemiological studies have reported inconsistent findings for the association between sleep duration and metabolic syndrome. We aimed to clarify the effects of short and long sleep durations on metabolic syndrome in adults by performing a meta-analysis.Methods: Adopting random-effects models, this study analyzed the effects of short and long sleep durations based on data from prospective cohort studies and cross-sectional studies retrieved from four electronic databases from inception to May 2020.Results: We collected data from 235,895 participants included in nine prospective cohort studies and 340,492 participants included in 27 cross-sectional studies. In cohort studies, short sleep duration was associated with an increased risk of metabolic syndrome (RR, 1.15; 95% CI, 1.05–1.25, I2 = 63.1%, P &lt; 0.001) compared with normal sleep duration. While long sleep duration was not associated with new-onset metabolic syndrome (RR, 1.02, 0.85–1.18, I2 = 38.0%, P = 0.491). In cross-sectional studies, both short (OR, 1.06, 95% CI, 1.01–1.11, I2 = 66.5%, P &lt; 0.001) and long (OR, 1.11, 95% CI, 1.04–1.17, I2 = 73.8%, P &lt; 0.001) sleep durations were associated with a high prevalence of metabolic syndrome.Conclusions: Only a short sleep duration was associated with an increased risk of metabolic syndrome. Future studies should address whether the association is casual and modifiable.

scholarly journals Peruvians’ sleep duration: analysis of a population-based survey on adolescents and adults

2013 ◽  
Author(s):  
Rodrigo M. Carrillo-Larco ◽  
Antonio Bernabé-Ortiz ◽  
J. Jaime Miranda ◽  
Jorge Rey de Castro
Keyword(s):  
Sleep Duration ◽  
Rural Areas ◽  
Multivariable Analysis ◽  
Secondary Analysis ◽  
Population Level ◽  
Educational Status ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Short Sleep ◽  
Long Sleep

Sleep duration, either short or long, has been associated with diseases such as obesity, type-2 diabetes and cardiovascular diseases. Characterizing the prevalence and patterns of sleep duration at the population-level, especially in resource-constrained settings, will provide informative evidence on a potentially modifiable risk factor. The aim of this study was to explore the patterns of sleep duration in the Peruvian adult and adolescent population, together with its socio-demographic profile. This is a cross-sectional study, secondary analysis of the Use of Time National Survey conducted in 2010. Weighted means and proportions were used to describe sleep duration according to socio-demographic variables. Poisson regressions, taking into account the multistage sampling design of the survey, were used to calculate crude and adjusted prevalence ratios (PR) and 95% confidence intervals (95% CI). Main outcomes were short- (<6 hours) and long-sleep duration (≥9 hours). A total of 12,424 observations, mean age 35.8 years (SD ±17.7), 50.6% males, were included in the analysis. On average, Peruvians slept 7.7 hours (95% CI 7.4-8.0) on weekdays and 8.0 hours (95% CI 7.8-8.1) during weekends. The proportions of short- and long-sleep, during weekdays, were 4.3% (95% CI 2.9%-6.3%) and 22.4% (95% CI 14.9%-32.1%), respectively. Regarding urban and rural areas, a much higher proportion of short-sleep was observed in the former. On the multivariable analysis, compared to regular-sleepers (≥6 to <9 hours), short-sleepers were twice more likely to be older and to have higher educational status, and 50% more likely to be currently employed. Similarly, relative to regular-sleep, long-sleepers were more likely to have a lower socioeconomic status as per educational attainment. In this nationally representative sample, the sociodemographic profile of short-sleep contrasts the long-sleep. These scenarios in Peru, as depicted by sleeping duration, differ from patterns reported in other high-income settings and could serve as the basis to inform and to improve sleep habits in the population.

scholarly journals 0847 Association Between Cannabis Use Frequency and Sleep Duration Among a Representative Sample of US Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A322-A323
Author(s):  
N P Bowles ◽  
S A Shea
Keyword(s):  
Sleep Duration ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Cannabis Use ◽  
Behavioral Risk ◽  
Cross Sectional ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
The Impact

Abstract Introduction Cannabis use is on the rise in the US, and while the cannabis plant and related compounds are considered to have low toxicity, the impact on physiology including sleep remains unclear. Further, the bulk of cannabis research has focused on adolescents and young adults despite growing use among the elderly. Thus, this analysis sought to determine the impact of the frequency of cannabis use on sleep duration and determine if this relationship varies by age. Methods This cross-sectional study used data from the 2016-2018 Behavioral Risk Factor Surveillance System surveys. Multinomial logistic regression was used to evaluate the association between the frequency of cannabis use, 0-30 times over the prior 30 days; and average sleep duration, short (&lt;7 hours); recommended (7-9 hours); and long (&gt;9 hours) sleep. Results The study sample included 235,667 participants (48% male, 43% 18-44 years old and 35% 44-64 years old) of which 14,122 consumed cannabis. The weighted proportion who reported using cannabis 1-4x, 5-15x, or more than 16x/month were 3.1% (95% CI, 3.0%-3.3%), 2.1% (2.0%-2.2%), and 4.4% (4.2%-4.6%) respectively. In an age stratified model adjusted for sociodemographic and clinical characteristics, there were no associations between sleep and cannabis use up to 15x/month. Among those adults who consumed cannabis more than 16x/month: (1) 18-44 year olds were more likely to report either short sleep (risk ratio (RR), 1.21; 95% CI, 1.05-1.39) or long sleep (RR, 1.57; 95% CI, 1.11-2.22) as opposed to the recommended amount of sleep; whereas (2) 44-64 year olds demonstrated an increased risk for long sleep (RR, 1.77; 95% CI, 1.09-2.89); and (3) participants 65 years and older demonstrated an increased risk for short sleep (RR, 1.61; 95% CI, 1.04-2.49). Conclusion We demonstrate that modest cannabis use was not associated with sleep, whereas daily cannabis use is associated with age-dependent sleep duration above and below the recommended amount. Support KL2TR002370, 2R25HL105444-09.

scholarly journals 1035 Sleep Duration and Metabolic Syndrome: An Updated Systematic Review and Meta-Analysis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A393-A393
Author(s):  
Y Li ◽  
J Xie ◽  
B Chen ◽  
M Basta ◽  
A Vgontzas
Keyword(s):  
Metabolic Syndrome ◽  
Longitudinal Studies ◽  
Sleep Duration ◽  
Medical Science ◽  
Development Program ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep ◽  
Long Sleep ◽  
Cross Sectional Studies

Abstract Introduction To systematically examine the association between sleep duration and metabolic syndrome (Mets) risk in cross-sectional and prospective cohort studies. Methods Data were collected from 36 cross-sectional and 9 longitudinal studies with a total of 164799 MetS subjects and 430895 controls. Odds ratios (ORs) for MetS in cross-sectional studies and risk ratios (RRs) for incident MetS were calculated through meta-analyses of adjusted data from individual studies. Subgroup analyses were performed to investigate the association between MetS and the duration of short-and-long sleep. Results Short sleep duration was significantly associated with increased prevalent MetS (OR= 1.11, 95% CI =1.05-1.18) and incident MetS (RR= 1.28, 95% CI =1.07-1.53,) in cross-sectional and longitudinal studies, respectively. Furthermore, long sleep duration was significantly associated with increased prevalent MetS in cross-sectional studies (OR= 1.14, 95% CI =1.05-1.23), rather than incident MetS (RR= 1.16, 95% CI =0.95-1.41) in longitudinal studies. Interestingly, the association between long sleep and prevalent MetS was found in sleep duration defined by 24-hour sleep (including naps) rather than nighttime sleep. In cross-sectional studies, pooled odds for MetS were 1.36 (95% CI=1.04-1.78, I2=83.3%) in ≤ 5 hours, 1.09 (95% CI=1.02-1.16, I2=67.8%) in ≤6 hours, 1.01 (95% CI=0.93-1.10, I2=24.9%) in &lt;7 hours, 1.11 (95% CI=1.02-1.21, I2=67.0%) in ≥9 hours and 1.31 (95% CI=1.22-1.40, I2=0%) in ≥10 hours, respectively. The association of short sleep and MetS was stronger in young and middle age adults, but lost in adults age &gt;60 years. Conclusion Our findings suggest 1) a “U-shape” relationship between sleep duration and MetS in cross-sectional studies and 2) association between short sleep duration, but not long sleep duration with incident MetS. Future studies should shed light on the underlying mechanisms related to the association between sleep duration and MetS and examine if normalizing sleep duration reduces MetS risk in the general population. Support This study was supported by National Natural Science Foundation of China (No. 81600068 & 81970087), the Young Elite Scientists Sponsorship Program by CAST (No. YESS20160072), Medical Science Foundation of Guangdong Provence (A2018296) and Grant for Key Disciplinary Project of Clinical Medicine under the Guangdong High-level University Development Program.

scholarly journals Association between Sleep Duration and Measurable Cardiometabolic Risk Factors in Healthy Korean Women: The Fourth and Fifth Korean National Health and Nutrition Examination Surveys (KNHANES IV and V)

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Hyeyeon Min ◽  
Yoo Jin Um ◽  
Bum Sup Jang ◽  
Doosup Shin ◽  
EunJoo Choi ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Abdominal Obesity ◽  
National Health ◽  
Multivariate Logistic Regression Analysis ◽  
Korean Women ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep ◽  
Health And Nutrition ◽  
Long Sleep

Study Objectives.To examine the association between sleep duration and prevalence of metabolic syndrome (MetS) and its components in healthy Korean women.Design.Cross-sectional study, using the Fourth and Fifth Korean National Health and Nutrition Examination Surveys.Methods.Among 8505 women (25–70 years) from KNHANES IV and V, participants were classified into five sleep groups based on self-reported sleep duration. MetS and its components were defined using the criteria set forth in National Cholesterol Education Program-Adult Treatment Panel III. We used multivariate logistic regression analysis.Results.After adjusting for various confounders, shorter sleep duration (≤6 h) was found to have an association with low risk of reduced high-density lipoprotein cholesterol and increased triglycerides, whereas very long sleep duration was found to have high risk of increased triglycerides. However, abdominal obesity showed an opposite trend: short sleep duration was associated with higher risk of abdominal obesity than long sleep duration. Fasting glucose levels increased as sleep duration increased, but without significance. Moreover, blood pressure was not significantly associated with sleep duration. Consequently, MetS was less prevalent in those with short sleep duration.Conclusions.Sleep duration was positively associated with MetS, especially dyslipidemia and fasting hyperglycemia, but inversely associated with abdominal obesity.

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