scholarly journals THU0457 LONGITUDINAL ASSOCIATION OF SEDENTARY TIME AND PHYSICAL ACTIVITY WITH SLEEP QUALITY IN WOMEN WITH FIBROMYALGIA: THE AL-ÁNDALUS PROJECT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 465.2-466
Author(s):  
M. Borges Cosic ◽  
P. Acosta-Manzano ◽  
B. Gavilán Carrera ◽  
F. Estévez-López ◽  
V. A. Aparicio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Sedentary Time ◽  
Statistical Significance ◽  
Behavioural Therapy ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Over Time

Background:Sleep disturbances are common in fibromyalgia, and influences quality of life. Recent literature has suggested that non-pharmacological treatments (e.g., physical exercise and cognitive behavioural therapy) may help to improve sleep quality (SQ) and the management of fibromyalgia1. In this regard, sedentary time (ST) and physical activity (PA) intensity levels could play a role on SQ in this population2. However, evidence is scarce and mainly based on cross-sectional data.Objectives:This study aimed to examine the longitudinal associations (2- and 5-year follow-up) of ST and PA intensity levels with SQ in women with fibromyalgia.Methods:In this prospective cohort study, women diagnosed with fibromyalgia (age: 51.4±7.6 years) with completed data were included at baseline (n=409), at 2-year follow-up (n=214) and at 5-year follow-up (n=218). Sedentary time and PA intensity levels (light and moderate-to-vigorous [MVPA]) were assessed using triaxial accelerometers worn for consecutive 7 days. The percentage of time spent in different behaviours was calculated (e.g., (ST/accelerometer wear time) × 100). The SQ global score was calculated as a sum of all components (score ranges from 0 to 21 where higher values indicate worse SQ) of the Pittsburgh Sleep Quality Index. Linear regressions were performed to analyse the association of changes in ST and PA over time (predictor variables) with SQ at 2- and 5-years follow-up (dependent variables) while considering baseline SQ, age, fat percentage, marital status, educational level, sleep or relaxation medication, and regular menstruation as confounders.Results:Overall, after adjusting for confounders, non-statistical significant associations were found between changes in ST and PA intensity levels from baseline to 2-years follow-up with SQ at 2-year follow-up (P>0.05); except for the change in MVPA from baseline to 2-years follow-up, which showed evidence of statistical significance (B=-0.207;P=0.059). Regarding the 5-year follow-up, we did not observe either any association between changes in ST or PA intensity levels from baseline to 5-year follow-up with SQ at 5-year follow-up (P>0.05).Conclusion:The main findings suggest that neither ST nor PA intensity levels over time predict SQ at 2- and 5-year follow-up in women with fibromyalgia. Future PA-counselling randomised controlled trials might shed more light on the role that ST and PA could play on SQ.References:[1]Macfarlane GJ, et al.Ann Rheum Dis,2017; 76(2):318–328.[2]Borges-Cosic M, et al.Scand J Med Sci Sports2019; 29:266–274.Acknowledgments:This study was supported by the Spanish Ministry of Economy and Competitiveness (I+D+i DEP2010-15639; I+D+I DEP2013-40908-R) and the Spanish Ministry of Education, Culture and Sport (FPU15/00002).Disclosure of Interests: :None declared

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 Cross-Sectional and Longitudinal Associations between Non-School Time Physical Activity, Sedentary Time, and Adiposity among Boys and Girls: An Isotemporal Substitution Approach

2021 ◽  
Vol 18 (9) ◽  
pp. 4671
Author(s):  
Kelsey L. McAlister ◽  
Jennifer Zink ◽  
Daniel Chu ◽  
Britni R. Belcher ◽  
Genevieve F. Dunton
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Behavioral Approach ◽  
Cross Sectional ◽  
Time Activity ◽  
School Time ◽  
Longitudinal Associations ◽  
The Cross

This study investigated the cross-sectional and longitudinal associations of the substitution of non-school time light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and sedentary time (ST) with adiposity in boys and girls. Boys (n = 65, baseline Mage= 9.93 ± 0.86 years) and girls (n = 77, baseline Mage = 10.17 ± 0.95 years) wore waist-worn accelerometers (ActiGraph GT3X) at baseline and at a 30-month follow-up, from which non-school time LPA, MVPA, ST, and total device wear were quantified. Body mass index (BMI) and waist-to-height-ratio (WHR) were measured at baseline and follow-up. Body fat percent (BF%) was obtained at follow-up only. Isotemporal substitution models assessed the cross-sectional and longitudinal associations of reallocating non-school time activity with BMI, WHR and BF%. In boys, replacing 30 min/day of LPA with MVPA was cross-sectionally (β = −8.26, p < 0.05) associated with a lower BF%. Replacing 30 min/day of ST with MVPA was cross-sectionally (β = −6.02, p < 0.05) associated with a lower BF% in boys. Longitudinally in boys, replacing 30 min of change in LPA with MVPA (β = −7.42, p < 0.10) and replacing 30 min of change in MVPA with ST (β = 5.78, p < 0.10) over 30 months was marginally associated with less BF%. Associations were null in girls (p > 0.05). These results may support targeting activity reallocation during non-school time for the purposes of adiposity improvement in boys. A multi-behavioral approach may be more appropriate for girls, as non-school time activity may not be driving adiposity status.

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 Long-Term Correlates of Objectively Measured Physical Activity and Sedentary Time in Norwegian Men and Women

2015 ◽  
Vol 12 (11) ◽  
pp. 1500-1507 ◽  
Author(s):  
Ane Kristiansen Solbraa ◽  
Ulf Ekelund ◽  
Ingar M. Holme ◽  
Sidsel Graff-Iversen ◽  
Jostein Steene-Johannessen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Perceived Health ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Background:Sex, age, body mass index (BMI), perceived health and health behavior are correlates known to affect physical activity and sedentary time. However, studies have often been cross-sectional, and less is known about long-term correlates. Thus, the aims were to investigate 1) the associations between a set of characteristics (demographic, biological, psychological, and behavioral) and objectively measured physical activity and sedentary time at 13-year follow-up, and 2) the association between changes in these characteristics over time and physical activity and sedentary time.Methods:Baseline characteristics were collected in 40-year-olds in 1996, and follow-up data on objectively measured physical activity and sedentary time were obtained in 2009 (n = 240). Data were analyzed by multiple linear regressions.Results:Self-reported physical activity (P < .001) and improved perceived health (P = .046) were positively associated with moderate-to-vigorous physical activity (MVPA) whereas BMI (P = .034) and increased BMI (P = .014) were negatively associated with MVPA at follow-up. Women spent less time being sedentary than men (P = .019). Education (P < .001) was positively associated and improved perceived health (P = .010) was negatively associated with sedentary time at follow-up.Conclusions:MVPA and sedentary time at follow-up were associated with behavioral, biological and demographic correlates. However, the nature of our analyses prevents us from inferring causality.

scholarly journals Sleep Quality and Recommended Levels of Physical Activity in Older People

2016 ◽  
Vol 24 (2) ◽  
pp. 201-206 ◽  
Author(s):  
Iuliana Hartescu ◽  
Kevin Morgan ◽  
Clare D. Stevinson
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older People ◽  
Sleep Onset ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Sleep Maintenance ◽  
Level Of Activity ◽  
Lower Likelihood

A minimum level of activity likely to improve sleep outcomes among older people has not previously been explored. In a representative UK sample aged 65+ (n = 926), cross-sectional regressions controlling for appropriate confounders showed that walking at or above the internationally recommended threshold of ≥ 150 min per week was significantly associated with a lower likelihood of reporting insomnia symptoms (OR = 0.67, 95% CI = 0.45−0.91, p < .05). At a 4-year follow-up (n = 577), higher walking levels at baseline significantly predicted a lower likelihood of reporting sleep onset (OR = 0.64, 95% CI = 0.42−0.97, p < .05) or sleep maintenance (OR = 0.63, 95% CI = 0.41−0.95, p < .05) problems. These results are consistent with the conclusion that current physical activity guidelines can support sleep quality in older adults.

scholarly journals Cross-Sectional Associations of 24-Hour Sedentary Time, Physical Activity, and Sleep Duration Compositions with Sleep Quality and Habits in Preschoolers

2020 ◽  
Vol 17 (19) ◽  
pp. 7148
Author(s):  
Christine W. St. Laurent ◽  
Sarah Burkart ◽  
Katrina Rodheim ◽  
Robert Marcotte ◽  
Rebecca M. C. Spencer
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Vigorous Physical Activity ◽  
Preliminary Evidence ◽  
Cross Sectional Study ◽  
Sleep Efficiency ◽  
Movement Behavior ◽  
Cross Sectional ◽  
Stationary Time

Although some studies indicate physical activity and sleep quality are positively associated in children, most reports examined physical activity independent of other 24-h behaviors and focused on older children. The aim of this cross-sectional study was to examine the predicted changes in sleep efficiency and habits when reallocating time between movement behaviors using compositional isotemporal substitution in preschool-aged children. Accelerometers were worn by 288 participants (51.6 ± 9.5 months) for up to 16 days. Sleep outcomes included sleep efficiency, nap frequency, sleep disturbances, and bedtime resistance. Compositional isotemporal substitution analyses demonstrated that the combined effect of 24-h movement behaviors was associated with sleep efficiency (p < 0.001) and nap frequency (p < 0.003). When sleep increased by 30 min at the expense of stationary time or light physical activity, estimates of sleep efficiency and bedtime resistance decreased while nap frequency increased. When stationary time increased by 30 min from moderate to vigorous physical activity, estimated sleep efficiency increased and sleep disturbances decreased. Although this study presents preliminary evidence that 24-h movement behavior compositions in early childhood are associated with sleep quality and nap frequency, estimated effects from theoretical time reallocations across sleep outcomes were mixed.

scholarly journals Obesity, Fasting Blood Sugar, Triglyceride and Physical Activity in Association With Sleep Quality in Iranian Adults in 2019

2021 ◽  
Author(s):  
Mazyar Haghgoo ◽  
Atoosa Saidpour ◽  
Hakimeh Sadeghzadeh ◽  
Samira Rabiei
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Sleep Latency ◽  
P Value ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Subjective Sleep

Abstract ObjectivesSleep is an essentially biological process for health and the pattern of sleep. Poor sleep quality is increasingly recognized as a risk factor for poor health outcomes such as obesity, diabetes, and cardiovascular disease. This study aimed to investigate the association between sleep quality, body mass index (BMI) and glycemic and lipid profiles in Iranian adults in 2020.This descriptive cross-sectional study was conducted on adults aged 18-60 years from both sexes. Participants were selected from those who referred to community centers in Tehran Municipality. Three hundred and fifty-three Volunteers who had inclusion criteria entered the study by convenience sampling. Information on anthropometric measurements, Physical Activity and dietary intake were collected. Sleep quality was assessed through PSQI questionnaire. Biochemical analysis was also conducted to investigate FBS, Insulin and lipid profile.ResultsBMI had positive correlation with subscale of “sleep disturbances” and “use of sleep medication” (P-value <0.001). Physical activity had a significant negative correlation with subscales of “subjective sleep quality” and “sleep latency”. FBS and TG had positive correlation with “sleep latency” and “Subjective sleep quality”, respectively (p-value<0.05). Weak sleep quality has association with obesity, disorder of glucose and triglyceride metabolism and lower level of physical activity.

scholarly journals Changes in physical activity levels and mental health during COVID-19: Prospective findings among adult twin pairs

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260218
Author(s):  
Glen E. Duncan ◽  
Ally R. Avery ◽  
Siny Tsang ◽  
Bethany D. Williams ◽  
Edmund Seto
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Mitigation Strategies ◽  
Mental Health Outcomes ◽  
Activity Levels ◽  
Cross Sectional ◽  
Adult Twins ◽  
Over Time

Background Physical distancing and other COVID-19 pandemic mitigation strategies have negatively impacted physical activity (PA) levels and mental health in cross-sectional studies. The purpose of this study was to investigate associations between changes in PA and mental health outcomes during the COVID-19 pandemic, following implementation of mitigation strategies, in a sample of adult twins. Methods This was a prospective study of 3,057 adult twins from the Washington State Twin Registry. Study participants completed online surveys in 2020, at baseline (March 26 –April 5), and three follow-up waves (W1: April 20 –May 3; W2: Jul 16 –Aug 2; W3: Sept 16 –Oct 1). Physical activity was operationalized as self-reported moderate-to-vigorous PA (MVPA) and neighborhood walking (minutes/week), and mental health outcomes, operationalized as self-reported anxiety and perceived stress were assessed in the three waves of follow-up. Latent growth curve models (LGCMs) were used to assess changes in PA and mental health outcomes over time. Parallel LGCMs were used to estimate the cross-sectional, parallel, and prospective associations between PA and mental health over time. All models took into within-pair correlations and adjusted for age, sex, and race. Results Individuals’ amount of MVPA and walking decreased over time, whereas levels of anxiety remained stable, and stress increased slightly. Cross-sectional associations observed between both PA predictors and mental health outcomes were weak. After taking into account cross-sectional associations between PA and mental health outcomes, changes in PA over time were not associated with changes in mental health outcomes over time. Conclusions Over a time period aligned with COVID-19 mitigation strategies and social restrictions, changes in physical activity was not associated with changes in anxiety or stress levels in the current sample. Nonetheless, the average decline in PA over time is worrisome. Public health resources should continue to promote PA as a means to improve physical health during the pandemic.

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.

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