scholarly journals Classification of Factors Effect on Sleep in Individuals with Down Syndrome

2021 ◽  
Vol 11 (11) ◽  
pp. 1500
Author(s):  
Thai Duy NGUYEN ◽  
Sébastien Baillieul ◽  
Michel GUINOT ◽  
Stéphane Doutreleau ◽  
Véronique-Aurélie Bricout
Keyword(s):  
Physical Activity ◽  
Down Syndrome ◽  
Sleep Disordered Breathing ◽  
Apnea Hypopnea Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Gonial Angle ◽  
Wake Patterns ◽  
High Age

Background: Sleep disordered breathing (SDB) is a frequent disorder with serious adverse health consequences in people with Down syndrome (DS). This study aims to evaluate and classify sleep and physical activity (PA) characteristics in adults with DS. Methods: Forty participants with DS wore an accelerometer for seven consecutive days to measure physical activity and sleep–wake patterns. The corresponding data were also obtained by survey and polysomnography. The apnea-hypopnea index (AHI) is calculated from the number of apneas and hypopneas per hour of sleep according to international guidelines. Results: Polysomnography showed SDB based on AHI in 95% of adults: 50% had severe SDB, 22.5% presented moderate and 22.5% mild SDB, predominantly in males. They had poor sleep quality (80.1%) and low PA levels. Using statistical classification methods, we observed three clusters with two opposite profiles. Clusters 2 and 3 showed low PA indices (daily steps: 5719 and 5310, respectively) and severe SDB (AHI = 33.6 and 55.5 events/h), high age and high gonial angle. Cluster 1 showed high PA (mean count of daily steps: 6908) and mild to moderate SDB (AHI = 16.8 events/h), low age and low gonial angle. Conclusions: Our findings suggest that there are different profiles (age, gender, obesity, gonial angle) that are associated with SDB in adults with DS. These results suggest that this may represent important factors to consider when planning health promotion and prevention.

scholarly journals Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Mitch J. Duncan ◽  
Anna T. Rayward ◽  
Elizabeth G. Holliday ◽  
Wendy J. Brown ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Trial Registration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Intervention Effects ◽  
Symptoms Of Depression ◽  
Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

scholarly journals The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

Depressive symptoms are associated with poor sleep quality rather than apnea-hypopnea index or hypoxia during sleep in patients with obstructive sleep apnea

2017 ◽  
Vol 21 (4) ◽  
pp. 997-1003 ◽  
Author(s):  
Sang Hun Lee ◽  
Yu Jin Lee ◽  
Soohyun Kim ◽  
Jae-Won Choi ◽  
Do-Un Jeong
Keyword(s):  
Obstructive Sleep Apnea ◽  
Depressive Symptoms ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Apnea Hypopnea Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

scholarly journals Assessment of Predicting Factors for Pediatric Sleep Disordered Breathing

2020 ◽  
Vol 47 (4) ◽  
pp. 377-388
Author(s):  
Soyeon Moon ◽  
Daewoo Lee ◽  
Jaegon Kim ◽  
Yeonmi Yang
Keyword(s):  
Sleep Disordered Breathing ◽  
Hyoid Bone ◽  
Apnea Hypopnea Index ◽  
Sleep Monitoring ◽  
Lateral Cephalogram ◽  
Gonial Angle ◽  
Lateral Cephalograms ◽  
Portable Sleep Monitoring ◽  
Disordered Breathing ◽  
Pediatric Sleep

The aim of this study was to evaluate the association between various predicting tools and Apnea-Hypopnea Index (AHI) to identify children with sleep disordered breathing (SDB). From 5 to 10 years old who came for orthodontic counseling, 61 children, whom had lateral cephalograms, pediatric sleep questionnaire (PSQ) records, and portable sleep monitoring results, were included in this study. A total of 17 measurements (11 distances and 6 angles) were made on lateral cephalograms. The measurements of lateral cephalograms, PSQ scales and portable sleep monitoring results were statistically analyzed. 49 of 61 (80%) patients showed AHI > 1, which suspected to have SDB and their mean AHI was 2.75. In this study, adenoid size (A/N ratio), position of the hyoid bone from mandibular plane, gonial angle, and PSQ scale were related to a higher risk of pediatric SDB. Also, oxygen desaturation index (ODI) and snoring time from sleep monitoring results were statistically significant in children with SDB using Mann-Whitney test (<i>p</i> ＜ 0.05).<br/>In conclusion, evaluation of hyoid bone position, adenoidal hypertrophy, gonial angle in lateral cephalogram, and PSQ scale was important to screen out potential SDB, especially in children with frequent snoring.

scholarly journals Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study

10.2196/25241 ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e25241
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Dietary Diversity ◽  
Media Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Social Media Use ◽  
The Impact

Background The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic. Objective This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China. Methods In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19–specific information. Results Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending >3 hours on reading COVID-19 news per day. Women with excessive media use (>3 hours) were more likely to be previously pregnant (P=.03), have no physical activity (P=.003), have inadequate dietary diversity (P=.03), and have poor sleep quality (P<.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent <0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and >3 hours (17/54, 31.5%) was higher (P<.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; P=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; P=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; P=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; P=.04), and >3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; P=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable. Conclusions Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

2020 ◽  
Vol 54 (7) ◽  
pp. 470-483 ◽  
Author(s):  
Anna T Rayward ◽  
Beatrice Murawski ◽  
Mitch J Duncan ◽  
Elizabeth G Holliday ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Controlled Trial ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Wait List Control ◽  
Improve Sleep Quality ◽  
Middle Aged Adults

Abstract Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. Methods Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40–65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet “app” to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. Results Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. Conclusions PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality. Clinical Trial information Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

scholarly journals Associations between sleep quality and its domains and insufficient physical activity in a large sample of Croatian young adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021902 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Sporiš ◽  
Tomislav Krističević ◽  
Damir Knjaz
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Smoking Status ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Insufficient Physical Activity

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.

scholarly journals Depressive symptoms, sleep patterns, and physical activity in adolescents with narcolepsy

SLEEP ◽  
2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Arpita Parmar ◽  
E Ann Yeh ◽  
Daphne J Korczak ◽  
Shelly K Weiss ◽  
Zihang Lu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Tertiary Care ◽  
Care Facility ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Tertiary Care Facility

AbstractStudy ObjectivesTo evaluate the association between depressive symptoms, sleep patterns (duration and quality), excessive daytime sleepiness (EDS), and physical activity (PA) in adolescents with narcolepsy.MethodsThis cross-sectional study included adolescents (ages 10–18 years) with narcolepsy attending a tertiary care facility (The Hospital for Sick Children, Toronto, Canada). Adolescents with narcolepsy completed questionnaires evaluating depressive symptoms (Children’s Depression Inventory-2nd edition [CDI-2]), sleep quality (Pittsburgh Sleep Quality Index), EDS (Epworth Sleepiness Scale), and PA (Godin Leisure-Time Exercise Questionnaire). Wrist-based actigraphy was worn by adolescents for 1 week to measure total sleep time (over 24 hr) and sleep efficiency percentage.ResultsThirty adolescents with narcolepsy (mean age = 13.8 ± 2.2 years, 76.7% male) participated. In this cohort of adolescents with narcolepsy, 23.3% had CDI-2 total scores in the elevated range. Greater CDI-2 total scores were associated with poor sleep quality (ρ = 0.571; p = 0.02), EDS (ρ = 0.360; p = 0.05), and lower self-reported PA levels (ρ = −0.512; p < 0.01).ConclusionsAdolescents with narcolepsy report experiencing depressive symptoms, which are associated with poor sleep quality, EDS, and low PA levels. Strategies to improve nocturnal sleep quality and symptoms of EDS as well as promoting increased PA levels in adolescents with narcolepsy may provide an opportunity to improve depressive symptoms in this population. Multidisciplinary care with mental health and sleep specialists for adolescents with narcolepsy is needed.

scholarly journals Poor Sleep Quality and Daytime Sleepiness in Health Professionals: Prevalence and Associated Factors

2021 ◽  
Vol 18 (13) ◽  
pp. 6864
Author(s):  
Vergílio Pereira Carvalho ◽  
Kênia Alves Barcelos ◽  
Ely Paula de Oliveira ◽  
Sarah Nogueira Marins ◽  
Isabella Beatriz Silva Rocha ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Health Professionals ◽  
Daytime Sleepiness ◽  
Protective Factor ◽  
Work Conditions ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Excessive Alcohol Consumption ◽  
Quality Sleep

This study aimed to examine the prevalence rates of poor quality sleep and daytime sleepiness in health professionals and their association with socioeconomic, lifestyle, and anthropometric factors and psychosocial work conditions. This cross-sectional study was performed with health professionals from various public and private hospitals in Rio Verde, Goiás, Brazil. Daytime sleepiness and sleep quality were assessed using the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index, respectively. The variables were analyzed using multiple hierarchical Poisson regression in the statistical package Stata version 13.0. A total of 244 health professionals participated in this study (women, 78.28%). The rates of abnormal daytime sleepiness and poor sleep quality were 50.41% (n = 123) and 55.74% (n = 136), respectively. Reduced physical activity was associated with poor sleep quality (prevalence ratio (PR) = 1.32; 95% confidence interval (CI) 1.02–1.70, p = 0.035). Age between 20 and 29 years (PR = 2.59; 95% CI 1.37–4.91, p = 0.021) and 30 and 49 years (PR = 2.09; 95% CI 1.12–3.91, p = 0.021), as well as excessive alcohol consumption (PR = 1.29; 95% CI 1.01–1.66, p = 0.048), were risk factors for daytime sleepiness. Conversely, adequate bodyweight (PR = 0.52; 95% CI 0.33–0.82, p = 0.005) was considered a protective factor. The present findings suggest high rates of abnormal daytime sleepiness and poor sleep quality among healthcare professionals. We emphasize the importance of physical activity, adequate weight, and healthy habits for better quality sleep and reduced daytime sleepiness.

scholarly journals Influential Factors on Sexual Function in Infertile Women with Endometriosis: A Path Analysis

2020 ◽  
Author(s):  
Shahideh Jahanian Sadatmahalleh ◽  
samaneh youseflu ◽  
Mahnaz Bahri Khomami ◽  
Malihe Nasiri
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sexual Function ◽  
Pelvic Pain ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Infertile Women ◽  
Anxiety Depression

Abstract Background: Endometriosis have a negative influence on women’s sexual life. The aim of the current study was to test a conceptual model considering the interrelated role of anxiety, depression, sleep quality, physical activity, BMI, stage of endometriosis, the intensity of dyspareunia and pelvic pain on sexual function (SF) in infertile women with endometriosis. Also test the mediating role of sleep quality, anxiety, and depression. Method: In the present cross-sectional study, 220 infertile women with a laparoscopically confirmed endometriosis were recruited. Data were collected using a socio-demographic checklist, Female Sexual Function Index (FSFI), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), Visual Analog Scale (VAS). Results: We found that anxiety, depression, sleep quality, BMI, level of education, stage of endometriosis, and dyspareunia have a direct effect on women’s SF. In our study, sleep quality, anxiety, pelvic pain, and depression were the four major mediators that the higher scores lead to a decrease in the SF of endometriosis patients. The intensity of pelvic pain with an effect on sleep quality and dyspareunia change women’s SF. The lower level of physical activity, and higher BMI with indirect effect thorough anxiety, and sleep quality can worsen SF. Also, a higher level of anxiety leads to poor sleep quality and depression. Anxiety with both direct and indirect effect impress women’s SF. Conclusion: It seems that the main risk factors for sexual dysfunction in women with endometriosis are higher rates of anxiety, depression, poor sleep quality, pelvic pain, and dyspareunia. In the care of women with endometriosis, not only laparoscopy and medical treatment should be performed but also psychotherapeutic and psychosexual help should be offered.

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