scholarly journals Does Sars-Cov-2 Threaten Our Dreams? Effect of Quarantine on Sleep Quality and Body Mass Index

2020 ◽  
Author(s):  
Luigi Barrea ◽  
Gabriella Pugliese ◽  
Lydia Framondi ◽  
Rossana Di Matteo ◽  
Daniela Laudisio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Statistical Significance ◽  
Sleep Onset ◽  
Lifestyle Changes ◽  
Sleep Onset Latency ◽  
Smart Working

Abstract Background: COVID 19- related quarantine led to a sudden and radical lifestyle changes, in particular in eating habits. Objectives of the study were to investigate the effect of quarantine on sleep quality (SQ) and body mass index (BMI), and if change in SQ was related to working modalities.Materials: We enrolled 121 adults (age 44.9±13.3 years and 35.5% males). Anthropometric parameters, working modalities and physical activity were studied. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). At baseline, the enrolled subjects were assessed in outpatient clinic and after 40 days of quarantine/lockdown by phone interview. Results: Overall, 49.6% of the subjects were good sleepers (PSQI < 5) at the baseline and significantly decreased after quarantine (p<0.001). In detail, sleep onset latency (p<0.001), sleep efficiency (p=0.03), sleep disturbances (p<0.001), and daytime dysfunction (p<0.001) significantly worsened. There was also a significant increase in BMI values in normal weight (p=0.023), in subjects grade I (p=0.027) and II obesity (p=0.020). In all cohort, physical activity was significantly increased (p=0.004). However, analyzing the data according gender difference, males significantly increased physical activity compared to females in which there was only a trend without reaching statistical significance (46.5% vs 74.4%; p=0.015 and 50.0% vs 64.1%, p=0.106; in males and females, respectively). Also, smart working activity resulted in a significant worsening of SQ, particularly in males (p<0.001). Conclusions: Quarantine was associated to a worsening of SQ, particularly in males doing smart working, and to an increase in BMI values.

scholarly journals Does Sars-Cov-2 threaten our dreams? Effect of Quarantine on Sleep Quality and Body Mass Index

2020 ◽  
Author(s):  
Luigi Barrea ◽  
Gabriella Pugliese ◽  
Lydia Framondi ◽  
Rossana Di Matteo ◽  
Daniela Laudisio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Statistical Significance ◽  
Sleep Onset ◽  
Lifestyle Changes ◽  
Sleep Onset Latency ◽  
Smart Working

Abstract Background: COVID 19- related quarantine led to a sudden and radical lifestyle changes, in particular in eating habits. Objectives of the study were to investigate the effect of quarantine on sleep quality (SQ) and body mass index (BMI), and if change in SQ was related to working modalities.Materials: We enrolled 121 adults (age 44.9±13.3 years and 35.5% males). Anthropometric parameters, working modalities and physical activity were studied. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. At baseline, the enrolled subjects were assessed in outpatient clinic and after 40 days of quarantine/lockdown by phone interview. Results: Overall, 49.6% of the subjects were good sleepers (PSQI < 5) at the baseline and significantly decreased after quarantine (p<0.001). In detail, sleep onset latency (p<0.001), sleep efficiency (p=0.03), sleep disturbances (p<0.001), and daytime dysfunction (p<0.001) significantly worsened. There was also a significant increase in BMI values in normal weight (p=0.023), in subjects grade I (p=0.027) and II obesity (p=0.020). In all cohort, physical activity was significantly decreased (p=0.004). However, analyzing the data according gender difference, males significantly decreased physical activity as well as females in which there was only a trend without reaching statistical significance (53.5% vs 25.6%; p=0.015 and 50.0% vs 35.9%, p=0.106; in males and females, respectively). In addition, smart working activity resulted in a significant worsening of SQ, particularly in males (p<0.001). Conclusions: Quarantine was associated to a worsening of SQ, particularly in males doing smart working, and to an increase in BMI values.

Links between sleep and body mass index in bipolar disorders: An exploratory study

2015 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
C. Boudebesse ◽  
P.-A. Geoffroy ◽  
C. Henry ◽  
A. Germain ◽  
J. Scott ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Bipolar Disorders ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.

scholarly journals Delayed Lactogenesis II is Associated With Lower Sleep Efficiency and Greater Variation in Nightly Sleep Duration in the Third Trimester

2019 ◽  
Vol 35 (4) ◽  
pp. 713-724
Author(s):  
Theresa Casey ◽  
Hui Sun ◽  
Helen J. Burgess ◽  
Jennifer Crodian ◽  
Shelley Dowden ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Blood Glucose ◽  
Sleep Duration ◽  
Body Mass ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Delayed Onset ◽  
Wrist Actigraphy

Background: Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II. Research aims: The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule. Methods: Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 ( n = 50) and 32 ( n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey. Results: Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased ( p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation ( p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation ( p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 ( p < .05). Conclusion: Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.

scholarly journals Abdominal obesity: prevalence, sociodemographic- and lifestyle-associated factors in adolescents

2017 ◽  
Vol 27 (1) ◽  
pp. 56 ◽  
Author(s):  
Willian R. Tebar ◽  
Luiz Carlos M. Vanderlei ◽  
Catarina C. Scarabotollo ◽  
Edner F. Zanuto ◽  
Bruna T. C. Saraiva ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Public Schools ◽  
Sedentary Behaviour ◽  
Body Mass ◽  
Abdominal Obesity ◽  
Associated Factors ◽  
Statistical Significance ◽  
Obesity Prevalence

Objectives: The aim of this study was to determine the prevalence of abdominal obesity and its associated factors among adolescents, independent of confounders. Method: A sample of 14–17-year-old individuals (n=1.231), who were students from Londrina/PR-Brazil public schools, was studied. A questionnaire about physical activity, sedentary behaviour and socioeconomic conditions was applied. Anthropometry was composed of body weight (kg), height (m), body mass index (BMI=kg/m²) and waist circumference (cm). The association of abdominal obesity and independent variables was assessed using the chi-square test and the magnitude of associations was verified using Binary Logistic Regression in an unadjusted model and adjusted for confounders (gender, age, socioeconomic status, physical activity and sedentary behaviour). The confidence interval and statistical significance were set at 95% and 5%, respectively, using SPSS v15.0. Results: The abdominal obesity prevalence was 17.5% (CI = 15.4%–19.6%), and was higher in boys than in girls. Adolescents with abdominal obesity had higher values of body weight, height, body mass index and sedentary behaviour compared to eutrophic individuals. Being male increased the risk of abdominal obesity by 36% in adolescents. This risk was two times higher in those with high levels of sedentary behaviour. Conclusion: Abdominal obesity was significantly associated with gender and high levels of sedentary behaviour, regardless of confounding factors. Lifestyle habits are important modifiable risk factors that can effectively contribute to the reduction of obesity from an early age.

scholarly journals Off-training physical activity and training responses as determinants of sleep quality in young soccer players

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nuno Mateus ◽  
Juliana Exel ◽  
Bruno Gonçalves ◽  
Anthony Weldon ◽  
Jaime Sampaio
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Onset ◽  
Holistic Approach ◽  
Soccer Players ◽  
Sleep Onset Latency ◽  
Youth Soccer ◽  
Sports Organizations ◽  
Health Related ◽  
And Training

AbstractThis study aimed to quantify and assess the relationship of young soccer players' off-training physical activity (PA) and training responses on sleep quality. Eleven adolescent soccer players (13 ± 0.5 years old) were monitored during weekdays for four consecutive weeks, throughout soccer practice days. Off-training PA and sleep quality were assessed using 100 Hz tri-axial accelerometers and training responses analyzed using 20 Hz global positioning measurement units. A cluster analysis classified all cases into three different dimensions, (1) off-training PA, (2) training responses and (3) sleep quality. For each dimension, the most important variables for classifying the cases into clusters were sedentary PA and moderate-to-vigorous PA; total distance covered and impacts; and sleep onset latency and sleep fragmentation index, respectively. Afterwards, a correspondence analysis was used to identify whether off-training PA and training responses affected sleep quality. Results exposed that high to medium off-training PA combined with medium to high training responses may have decreased sleep quality. Conversely, no correspondence was observed between off-training PA and training responses, with higher sleep quality. This study emphasizes the importance of sports organizations adopting a holistic approach to youth soccer players’ development, that appropriately considers the inter-relationship between lifestyle, performance and health-related information.

Effects of body mass index on sleep quality and sleep disturbances

2017 ◽  
Vol 40 ◽  
pp. e224-e225
Author(s):  
M. Mirdha ◽  
H.N. Mallick ◽  
V.K. Tiwari ◽  
L.C. Viswakarma ◽  
N. Akhtar ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Quality ◽  
Body Mass ◽  
Sleep Disturbances

scholarly journals Daily Step Counts from the First Thailand National Steps Challenge in 2020: A Cross-Sectional Study

2020 ◽  
Vol 17 (22) ◽  
pp. 8433
Author(s):  
Thitikorn Topothai ◽  
Rapeepong Suphanchaimat ◽  
Viroj Tangcharoensathien ◽  
Weerasak Putthasri ◽  
Thitiporn Sukaew ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Multivariate Analysis ◽  
Body Mass ◽  
Rural Areas ◽  
Statistical Significance ◽  
Smartphone Application ◽  
Daily Step ◽  
Cross Sectional ◽  
Step Counts

Thailand’s first national steps challenge has been implemented in 2020 with the goal to raise the level of physical activity nationwide by monitoring achievements through a smartphone application. This study examined the daily step counts of participants in the first national steps challenge. Six data points from 186,653 valid participants were retrieved and analyzed in five periods using Poisson regression. The mean daily steps peaked at 3196 in Period 1, and steadily dropped to 1205 in Period 5. The daily steps per period were analyzed using the participants’ characteristics, such as the type of participant, sex, age, body mass index, and area of residence. The overall mean daily steps of the participants meant physical activity was far below the recommended level and tended to drop in later periods. The general population achieved significantly higher mean daily steps than public health officers or village health volunteers (24.0% by multivariate analysis). Participants who were female, younger (<45 years), obese (body mass index > 30), and living in rural areas had fewer mean daily steps (13.8%, 44.3%, 12.7%, and 14.7% by multivariate analysis, respectively), with statistical significance. In the future, the national steps challenge should be continuously implemented by counting all steps throughout a day, using more strategies to draw attention and raise motivation, advocating for more participants, as well as reporting the whole day step counts instead of distance.

312 Associations Between Sleep Regularity and Body Mass Index: Findings from a Prospective Study of First-Year College Students

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A124-A125
Author(s):  
Patricia Wong ◽  
David Barker ◽  
Caroline Gredvig-Ardito ◽  
Mary Carskadon
Keyword(s):  
College Students ◽  
Body Mass Index ◽  
Prospective Study ◽  
Body Mass ◽  
Sleep Onset ◽  
First Year ◽  
Sleep Onset Latency ◽  
Wake Time ◽  
First Year College ◽  
First Year College Students

Abstract Introduction College students often experience irregular sleep timing, short sleep duration, and weight gain. Using data from a large, prospective study on sleep in first-year college students, we examined whether students’ sleep regularity index (SRI; Phillips et al., 2017) was associated with body mass index (BMI) and BMI change (∆BMI) during the first nine weeks of their college semester. Methods Analyses included data from 583 students (mean age = 18.7± 0.5 years; 59% Female; 48% non-White) who had their height and weight assessed at the start of classes (T1) and end (T2) of nine weeks. ∆BMI was calculated as the difference between T2 and T1, with a positive value indicating an increase in BMI. Throughout the semester, participants completed on-line daily sleep diaries that included bedtime, wake-time, sleep onset latency, and wake after sleep onset for the previous major sleep episode and daytime naps. Based on this data, total sleep time (TST) was calculated as time spent asleep between bedtime and wake-time, and SRI was calculated by comparing participants’ sleep/wake states across adjacent 24-hour periods. Average SRI reflects participants’ sleep regularity (0 (random) to 100 (perfect regularity)) across the study. Data were analyzed with hierarchical linear regressions that controlled for sex and average TST. Results Average SRI was 74.1±8.7 (range 25.7–91.6). Average BMI at T1 was 22.0±3.5; 6% of participants were underweight (BMI less than 18.5), 6% overweight (≥25 and &lt;30) and 3% obese (≥30). Greater BMI at T1 was correlated with less ∆BMI by T2 (r=-.16, p&lt;.001). On average, participants gained 1.8±2.4kg (range: -7.2–11.4); 6% of participants lost ≥2kg, 39% gained 2-5kg, 8% gained more than 5kg. Average TST was not significantly correlated with BMI or ∆BMI. Lower SRI was associated with greater BMI at T1 (B= -.06 [95% CI: -.09– -.02], p=.001) but less ∆BMI (B= .01 [.002–.018], p=.018). Conclusion We found that lower sleep-wake regularity associated with greater baseline BMI but less BMI increase during the initial transition to college. Given that the majority of our participants were normal weight young adults, our findings may indicate that sleep regularity associates with healthy growth in this population. Support (if any) R01MH079179, T32MH019927(P.W.)

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