scholarly journals Night-eating, Overweight/obesity and Sleep Quality

2022 ◽  
Author(s):  
Shireen Walid Eid ◽  
Rhonda Brown ◽  
Shane Maloney ◽  
Carl Laird Birmingham
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Sleep Quality ◽  
Electronic Device ◽  
Affective Distress ◽  
Body Fatness ◽  
Night Eating ◽  
T1 And T2 ◽  
Device Use ◽  
High Bmi

Abstract PurposeImpaired sleep has been reported to be a consequence of overweight/obesity. However, sleep-disrupting behaviour that tend to coexist with overweight/obesity are also independent risk factors for impaired sleep such as night-eating, alcohol use, insufficient physical activity (PA), electronic device use and stress/affective distress. Thus, it is unclear whether night-eating and measures of body fatness will still predict sleep quality once concurrent behaviour and affective state are taken into account. MethodsOnline questionnaires asked participants about sleep quality, night-eating, alcohol use, electronic device use and stress/affective distress at T1 (baseline) and T2 (3-months later). Height, weight and waist and hip circumference was measured at T1 and objective physical activity (PA) was assessed over 24-hours (using actigraphy) in 161 participants at T1 and T2. ResultsAt T1, night-eating was related to poorer subjective sleep quality, longer sleep onset latency, lower sleep efficacy, more sleep disturbances and daytime dysfunction and obesity category was related to daytime dysfunction after controlling demographics and covariates. At T2, high BMI predicted lower sleep efficacy after controlling T1 sleep components, demographics and covariates. ConclusionNight-eating and obesity category were associated with multiple impairments in sleep quality, but only high BMI predicted sleep quality at T2. Thus, night-eating and measures of body fatness predicted sleep quality components at T1 and T2 even after co-existing behaviour and emotional states were taken into account.Level of EvidenceLevel III, evidence obtained from well-designed cohort.

scholarly journals Direct and Indirect Relationships Between Impaired Sleep, Obesity Risk Factors and Overweight and Obesity

2022 ◽  
Author(s):  
Shireen Walid Eid ◽  
Rhonda Francis Brown ◽  
Carl Laird Birmingham ◽  
Shane k. Maloney
Keyword(s):  
Risk Factors ◽  
Sleep Disturbances ◽  
Electronic Device ◽  
Male Gender ◽  
Obesity Risk ◽  
Affective Distress ◽  
Night Eating ◽  
Obesity Risk Factors ◽  
Device Use ◽  
Impaired Sleep

Abstract PurposeThe relationship between impaired sleep and overweight/obesity may be explained by sleep-disrupting behaviour that are practised by overweight people (e.g. night-eating, insufficient physical activity [PA], electronic device use) and stress/affective distress. Thus, we evaluated whether sleep parameters predicted overweight/obesity after taking into account the behaviour and affective state.MethodsOnline questionnaires asked about sleep quality, night-eating, PA, electronic device use and stress/affective distress at T1 (baseline) and T2 (3-months later). Height, weight and waist and hip circumference were measured. PA and sleep were assessed over 24-hours on two occasions using actigraphy in 161 participants at T1 and T2.ResultsAt T1, high body mass index (BMI)/waist-to-hip ratio (WHR) and obesity category were together related to more sleep disturbances (subjective) and longer awake time (objective), after controlling covariates (e.g. watching TV) and demographics (e.g. older age, male gender). At T2, high WHR was predicted by older age and male gender after controlling T1 WHR, demographics and covariates. Mediational analyses showed that sleep disturbances mediated nocturnal indigestion (NI) to BMI, poor subjective sleep quality mediated NI to WHR and high daytime dysfunction mediated NI to obesity category relationships.ConclusionMore time spent awake during the night (experienced as more sleep disturbances) was related to overweight/obesity indices even after taking into account other obesity risk factors (e.g. night-eating, insufficient PA, affect) and demographics. Mediational results suggest that NI parsimoniously explained the impaired sleep - overweight/obesity relationship.Level of Evidence: Level III, evidence obtained from well-designed cohort.

scholarly journals Active Transport, Not Device Use, Associates with Self-Reported School Week Physical Activity in Adolescents

2019 ◽  
Vol 9 (3) ◽  
pp. 32 ◽  
Author(s):  
Ryan Burns ◽  
Christopher Pfledderer ◽  
Timothy Brusseau
Keyword(s):  
Physical Activity ◽  
Active Transport ◽  
Electronic Device ◽  
Vigorous Physical Activity ◽  
Outcome Variable ◽  
Linear Regression Models ◽  
Web Based ◽  
School Week ◽  
Device Use ◽  
Youth Activity

The purpose of this study was to examine the relationships among active transport, electronic device-use, and self-reported school week moderate-to-vigorous physical activity (MVPA) in a sample of adolescents. The sample consisted of 1445 adolescents enrolled in the Family Life, Activity, Sun, Health, and Eating study. A panel research organization invited panel members balanced to the US population on sex, census division, household income and size, and race/ethnicity. Web-based surveys were administered to each selected adolescent. Adolescents answered questions pertaining to out-of-school electronic device-use and active transport to and from school. Predicted weekly minutes of MVPA were calculated from the Youth Activity Profile. The outcome variable was predicted school week MVPA (in minutes). The predictive utility of device-use and active transport variables on self-reported school week MVPA were examined using weighted multiple linear regression models. After adjusting for age, sex, and BMI, active transport to school (b = 12.32, 95% CI [9.72–14.93], p < 0.001) and from school (b = 7.18, 95% CI [4.79–5.57], p < 0.001) were significantly associated with self-reported school week MVPA. No device-use variables were significantly associated with school week MVPA. Active transport to and from school may have an impact on school week MVPA in adolescents.

scholarly journals Tingkat Stres, Durasi dan Kualitas Tidur, serta Sindrom Makan Malam Pada Mahasiswi Obesitas dan Non Obesitas Fakultas Kedokteran

2019 ◽  
Vol 1 (2) ◽  
pp. 63-73
Author(s):  
Adilla Eka Afriani ◽  
Ani Margawati ◽  
Fillah Fithra Dieny
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Random Sampling ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Simple Random Sampling ◽  
Case Control ◽  
T Test ◽  
Night Eating ◽  
Food Recall

Latar Belakang: Obesitas merupakan suatu kelainan yang ditandai dengan penimbunan jaringan lemak tubuh secara berlebihan. Tingkat stress, kualitas dan durasi tidur serta sindrom makan malam merupakan salah satu faktor risiko terjadinya obesitas. Tujuan: Menganalisis perbedaan tingkat stres, kualitas dan durasi tidur, serta sindrom makan malam pada mahasiswi obesitas dan non obesitas fakultas kedokteran. Metode: Penelitian ini menggunakan desain case-control, dengan jumlah responden sebanyak 36 subjek mahasiswi obesitas sebagai kelompok kasus dan 36 mahasiswi non obesitas sebagai kelompok kontrol di Fakultas Kedokteran Universitas Diponegoro. Pengambilan subjek menggunakan metode simple random sampling. Data meliputi tingkat stress, durasi dan kualitas tidur, sindrom makan malam, asupan makan dan aktivitas fisik masing- masing diukur menggunakan Depression Anxiety Stres Scale 42 (DASS 42), Pittsburgh Sleep Quality Index (PSQI), The Night Eating Questionnaire (NEQ), food recall, dan International Physical Activity Quetionnaire (IPAQ). Analisis data menggunakan uji independent t test dan Mann Whitney. Hasil: Rerata kualitas dan durasi  tidur  pada kelompok kasus sebesar 8,4±2,7 dan  5,9 ±1,3 jam, sedangkan pada kelompok kontrol sebesar 7,1±2,3 dan 6,5±1,3 jam. Ada perbedaan durasi tidur (p=0,025), kualitas tidur (p=0,030), dan asupan protein (p=0,044) antara kelompok obesitas dan non obesitas. Namun, tidak terdapat perbedaan tingkat stress (p=0,768) dan sindrom makan malam (p=0,722) antara kelompok obesitas dan non obesitas). Kesimpulan: Terdapat perbedaan kualitas tidur, durasi tidur dan asupan protein pada kelompok obesitas dan non obesitas

Network-behavior dynamics of adolescent friendships, alcohol use, and physical activity.

2017 ◽  
Vol 36 (6) ◽  
pp. 577-586 ◽  
Author(s):  
Emily Long ◽  
Tyson S. Barrett ◽  
Ginger Lockhart
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Network Behavior ◽  
Behavior Dynamics ◽  
Adolescent Friendships

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

scholarly journals POS0733 REAL-LIFE PHYSICAL ACTIVITY IN SLE PATIENTS: ASSOCIATIONS WITH FATIGUE AND QUALITY OF SLEEP

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 617.1-617
Author(s):  
H. Wohland ◽  
N. Leuchten ◽  
M. Aringer
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Real Life ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Fatigue Score ◽  
The Mean

Background:Fatigue is among the top complaints of patients with systemic lupus erythematosus (SLE), but only in part associated with SLE disease activity. Physical activity can help to reduce fatigue and should therefore be recommended to SLE patients. Vice versa, fatigue may arguably lead to reduced physical activity.Objectives:To investigate the extent of physical activity and the perception of fatigue and sleep quality in patients with SLE.Methods:Starting in February 2019, SLE patients were invited to participate in a cross-sectional survey study of fatigue and physical exercise during their routine outpatient clinic visits. Participants filled out a ten-page paper questionnaire focused on physical activity. To evaluate fatigue, we primarily used a 10 cm visual analogue scale (0-100 mm, with 100 meaning most fatigued), but also the FACIT fatigue score (range 0-52). Sleep quality was estimated using grades from 1 (excellent) to 6 (extremely poor).Results:93 SLE patients took part in the study. All patients fulfilled the European League Against Rheumatism/ American College of Rheumatology (EULAR/ACR) 2019 classification criteria for SLE. 91% of the patients were female. Their mean (SD) age was 45.5 (14.3) years and their mean disease duration 12.1 (9.4) years. The mean BMI was 25.2 (5.6). Of all patients, 7.5% had a diagnosis of (secondary) fibromyalgia. The mean fatigue VAS was 32 (27) mm and the mean FACIT fatigue score 35.7 (10.3). As expected, fatigue by VAS and FACIT was correlated (Spearman r=-0.61, p<0.0001). The mean SLEDAI was 1 (1) with a range of 0 to 6. Median glucocorticoid doses were 2 mg prednisolone equivalent, with a range from 0 to 10 mg.Out of 66 patients in payed jobs, 64 (97%) reported details on their working space. One person (2%) worked in a predominanty standing position, 37 (58%) worked in essentially sedentary jobs and 26 (40%) were in positions where they were mildly physically active in part. The mean fatigue VAS was 31 (24) mm for patients with partly active jobs and 27 (30) mm for those in sedentary jobs. Sleep was graded 2.9 (0.9) by those with active and 3.1 (1.3) by those with sedentary jobs.Half of the patients (51%) reported more than one physical recreational activity. 44 (47%) were walking and for five persons (5%) this was the only form of activity. Cycling was reported by 19 patients (20%), 18 of whom also practiced other activities. For transport, 52 (56%) in part chose active modes, such as walking and cycling. Patients who reported any of the above activities showed a mean fatigue VAS of 28 (25) mm, compared to 36 (28) mm in the patient group without a reported activity. Sleep quality was very similar: 3.1 (1.2) and 3.2 (1.1) for more active and more passive patients, respectively.65 (70%) patients regularly practiced sports. Of these, 39 (60%) practiced one kind of sport, 15 (23%) two, 7 (11%) three, and 2 (3%) each four and five kinds of sports. Fatigue VAS of patients practicing sports was 27 (25) mm versus 43 (28) in those who did not (p=0.0075). Sleep quality was 2.9 (1.1) in the sports cohort and 3.5 (1.1) in the no-sports cohort (p=0.0244).Conclusion:A majority of SLE patients in remission or low to moderate disease activity regularly practiced sports, and those doing so reported lesser fatigue and better sleep quality. The absolute values on the fatigue VAS were in a moderate range that made fatigue as the main cause of not performing sports rather unlikely for most patients.Disclosure of Interests:Helena Wohland: None declared, Nicolai Leuchten Speakers bureau: AbbVie, Janssen, Novartis, Roche, UCB, Consultant of: AbbVie, Janssen, Novartis, Roche, Martin Aringer Speakers bureau: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, Chugai, Gilead, GSK, HEXAL, Lilly, MSD, Novartis, Pfizer, Roche, Sanofi, UCB, Consultant of: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, GSK, Lilly, MSD, Roche, Sanofi, UCB

scholarly journals Sleep quality in the chronic stage of concussion is associated with poorer recovery: A systematic review

2021 ◽  
Vol 5 ◽  
pp. 205970022110208
Author(s):  
Rebecca Ludwig ◽  
Eryen Nelson ◽  
Prasanna Vaduvathiriyan ◽  
Michael A Rippee ◽  
Catherine Siengsukon
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Data Extraction ◽  
Grey Literature ◽  
Chronic Phase ◽  
Emotional Symptoms ◽  
Eligibility Criteria ◽  
Chronic Stage ◽  
Prior Review

Background Recovery from a concussion varies based on a multitude of factors. One such factor is sleep disturbances. In our prior review, it was observed that in the acute phase, sleep disturbances are predictive of poor outcomes following a concussion. The literature gap remains on how sleep in the chronic phase of recovery affects outcomes. Objective To examine the association between sleep quality during the chronic stage of concussion and post-concussion outcomes. Literature Survey: Literature searches were performed during 1 July to 1 August 2019 in selected databases along with searching grey literature. Out of the 733 results, 702 references were reviewed after duplicate removal. Methods Three reviewers independently reviewed and consented on abstracts meeting eligibility criteria ( n = 35). The full-text articles were assessed independently by two reviewers. Consensus was achieved, leaving four articles. Relevant data from each study was extracted using a standard data-extraction table. Quality appraisal was conducted to assess potential bias and the quality of articles. Results One study included children (18–60 months) and three studies included adolescents and/or adults (ranging 12–35 years). The association between sleep and cognition (two studies), physical activity (one study), and emotion symptoms (one study) was examined. Sleep quality was associated with decreased cognition and emotional symptoms, but not with meeting physical activity guidelines six months post-concussion injury. Conclusions The heterogeneity in age of participants and outcomes across studies and limited number of included studies made interpretations difficult. Future studies may consider if addressing sleep quality following concussion will improve outcomes.

scholarly journals Physical Activity and Inhibitory Control: The Mediating Role of Sleep Quality and Sleep Efficiency

2021 ◽  
Vol 11 (5) ◽  
pp. 664
Author(s):  
Lin Li ◽  
Qian Yu ◽  
Wenrui Zhao ◽  
Fabian Herold ◽  
Boris Cheval ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Inhibitory Control ◽  
Sleep Efficiency ◽  
Equation Modeling ◽  
Control Performance ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Sleep Parameters ◽  
The Relationship

Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.

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