scholarly journals Association between cardiometabolic health and objectively-measured, free-living sleep parameters in a rural African setting: a pilot study.

2020 ◽  
Author(s):  
Ian Cook ◽  
Matlawa Mohlabe ◽  
Herbert Mabalane Makgopa
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Fasting Blood Glucose ◽  
Sleep Time ◽  
Biological Data ◽  
Cardiometabolic Health ◽  
Free Living ◽  
Sleep Quantity ◽  
Objectively Measured ◽  
African Setting

Abstract Objectives To investigate the relationship between objectively-measured, free-living sleep quantity and quality, and cardiometabolic health, in a rural African setting in 139 adults (≥40 years, female: n=99, male: n=40). Wrist-mounted, tri-axial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Self-reported data included behavioural, health and socio-demographic variables. Biological data included body composition, resting blood pressure and fasting blood glucose, insulin and lipids. Regression models were constructed with insulin resistance (IR), Cardiometabolic (CM) risk and a metabolic z-score, as dependent variables, adjusting for socio-demographic, behavioural and biological factors. Results Nocturnal sleep time was longer in females (p=0.054) and sleep quality was better in males (p≤0.017). Few participants slept >9 hours/night (4-5%), and 46-50% slept <7 hours/night. IR and CM risk was higher in females (p≤0.006). In adjusted models, sleep variables were independently associated with IR (p<0.05). Sleep quantity was linearly (p<0.05) and non-linearly (p≤0.0196) associated with IR, and non-linearly (p≤0.0398) associated with CM risk. Sleep quality was linearly related with IR (p<0.05). A number of non-sleep behavioural variables were independently associated with CM risk (alcohol and tobacco use, p≤0.034) and IR (physical activity, sugar-sweetened beverage consumption, p<0.05).

scholarly journals Association between cardiometabolic health and objectively-measured, free-living sleep parameters in a rural African setting: a pilot study.

2020 ◽  
Author(s):  
Ian Cook ◽  
Matlawa Mohlabe ◽  
Herbert Mabalane Makgopa
Keyword(s):  
Sleep Quality ◽  
Fasting Blood Glucose ◽  
Sleep Time ◽  
Biological Data ◽  
Cardiometabolic Health ◽  
Free Living ◽  
Logistic Regression Models ◽  
Sleep Quantity ◽  
Objectively Measured ◽  
African Setting

Abstract Objectives To investigate the relationship between objectively-measured, free-living sleep quantity and quality, and cardiometabolic health, in a rural African setting in 139 adults (≥40 years, female: n=99, male: n=40). Wrist-mounted, tri-axial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Self-reported data included behavioural, health and socio-demographic variables. Biological data included body composition, resting blood pressure and fasting blood glucose, insulin and lipids. Logistic regression models were constructed with insulin resistance (IR) and Cardiometabolic (CM) risk, as dependent variables, adjusting for socio-demographic, behavioural and biological factors. Results Nocturnal sleep time was longer in females (p=0.054) and sleep quality was better in males (p≤0.017). Few participants slept >9 hours/night (4-5%), and 46-50% slept <7 hours/night. IR and CM risk was higher in females (p≤0.006). In adjusted models, sleep variables were independently associated with IR (p<0.05). Sleep quantity was non-linearly associated with CM risk (p≤0.0398), and linearly associated with IR (p≤0.0444). Sleep quality was linearly related with CM risk and IR (p≤0.0201). In several models, sleep quantity and sleep quality measures were concurrently and significantly associated with IR (p≤0.044).

scholarly journals Association between cardiometabolic health and objectively-measured, free-living sleep parameters: a pilot study in a rural African setting

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Ian Cook ◽  
Matlawa Mohlabe ◽  
Herbert Mabalane Makgopa
Keyword(s):  
Sleep Quality ◽  
Fasting Blood Glucose ◽  
Sleep Time ◽  
Biological Data ◽  
Cardiometabolic Health ◽  
Free Living ◽  
Logistic Regression Models ◽  
Sleep Quantity ◽  
Objectively Measured ◽  
African Setting

Abstract Objectives To investigate the relationship between objectively-measured, free-living sleep quantity and quality, and cardiometabolic health, in a rural African setting in 139 adults (≥40 years, female: n = 99, male: n = 40). Wrist-mounted, tri-axial accelerometry data was collected over 9 days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Self-reported data included behavioural, health and socio-demographic variables. Biological data included body composition, resting blood pressure and fasting blood glucose, insulin and lipids. Logistic regression models were constructed with insulin resistance (IR) and cardiometabolic (CM) risk, as dependent variables, adjusting for socio-demographic, behavioural and biological factors. Results Nocturnal sleep time was longer in females (p = 0.054) and sleep quality was better in males (p ≤ 0.017). Few participants slept > 9 h/night (4–5%), and 46–50% slept < 7 h/night. IR and CM risk was higher in females (p ≤ 0.006). In adjusted models, sleep variables were independently associated with IR (p < 0.05). Sleep quantity was non-linearly associated with CM risk (p ≤ 0.0398), and linearly associated with IR (p ≤ 0.0444). Sleep quality was linearly related with CM risk and IR (p ≤ 0.0201). In several models, sleep quantity and sleep quality measures were concurrently and significantly associated with IR (p ≤ 0.044).

scholarly journals Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

2020 ◽  
Author(s):  
Ian Cook ◽  
Matlawa Mohlabe ◽  
Marianne Alberts
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Sleep Onset ◽  
Sleep Time ◽  
Free Living ◽  
Sleep Quantity ◽  
Sleep Parameters ◽  
Reported Data ◽  
Objectively Measured ◽  
African Setting

Abstract Objectives To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥40 years, female: n=104, male: n=41). Wrist-mounted, tri-axial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. From stature, body mass and waist circumference, body-mass-index and conicity index were calculated. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings. Results Females had more nocturnal sleep than males (7.2 vs. 6.8 hours/night, p=0.0464) while males recorded more diurnal sleep time (p=0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p≤0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p=0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p=0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p<0.0458). The qualitative data explained some of the unexpected associational directions of the independent variables correlated with sleep variables.

scholarly journals Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

2020 ◽  
Author(s):  
Ian Cook ◽  
Matlawa Mohlabe ◽  
Marianne Alberts
Keyword(s):  
Physical Activity ◽  
Sleep Onset ◽  
Sleep Time ◽  
Free Living ◽  
Cultural Economic ◽  
Sleep Quantity ◽  
Sleep Parameters ◽  
Reported Data ◽  
Objectively Measured ◽  
African Setting

Abstract Objectives: To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥40 years, female: n=104, male: n=41). Wrist-mounted, triaxial accelerometry data was collected over nine days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Adiposity indices were body-mass-index, waist circumference and conicity index. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings. Results: Females had more nocturnal sleep than males (7.2 vs. 6.8 hours/night, p=0.0464) while males recorded more diurnal sleep time (p=0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p≤0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p=0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p=0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p<0.0458). The preliminary qualitative data suggests that future studies should include more detailed data around contextual issues of sleep (social, cultural, economic, environment).

scholarly journals 0260 Association Between Free-Living Physical Activity and Sleep in Icelandic Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A99-A99
Author(s):  
V Rognvaldsdottir ◽  
E Johannsson ◽  
H M Soffia ◽  
R S Stefansdottir ◽  
S A Arngrimsson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Total Sleep Time ◽  
Linear Regression Analysis ◽  
Sleep Onset ◽  
Sleep Time ◽  
Free Living ◽  
Negatively Associated ◽  
Significant Difference ◽  
Objectively Measured

Abstract Introduction Sleep and physical activity are both important to health, but the demands of our modern schedule often require individuals to choose one over the other. In adolescents, the association between objectively measured sleep and physical activity is not well established in the literature. The aim of current study was to assess associations between free-living and physical activity and sleep among 15-year-old adolescents. Methods Free-living physical activity and sleep were assessed with wrist-worn accelerometers, sleep diary, and questionnaires during a 7-day period including school days and non-school days in 270 (161 girls) adolescents (mean age 15.8±0.3y) in Reykjavik, Iceland. Linear regression analysis was used to explore the associations between objectively measured physical activity and sleep. T-test was used to determine if there is a significant difference in objectively measured sleep between those who reported sports or exercising &lt;6 versus ≥6 h/week. Results Weekly mean physical activity (2040±466 counts/min of wear/day) was negatively associated with total sleep time (6.6±0.64 h/night) (β±SE=-3.5±0.7, p&lt;0.001). However, physical activity was also negatively associated with minutes of wake after sleep onset on non-school days (p=0.047) and standard deviation (i.e. night-to-night variability) of total sleep time over the week (p=0.028). Subjects who reported exercising ≥6 h/week (n=116) had lower night-to-night variability in bedtime (41.2±27.9 min) than those who did not (49.8±37.5 min), p=0.033. Conclusion The negative association between physical activity and sleep duration suggests that in more active individuals’ physical activity may be displacing sleep. However, greater physical activity is also associated with fewer minutes of awakening and a less variable sleep schedule, indicating better sleep quality. These findings suggest that physical activity is important for good sleep quality, but students should more closely consider sleep guidelines when designing an exercise schedule. Future studies should test how change in sleep patterns might influence physical activity. Support Icelandic Centre for Research, National Institute of Diabetes and Digestive and Kidney Diseases.

scholarly journals Relationship between Physical Activity, Screen Time, and Sleep Quantity and Quality in US Adolescents Aged 16–19

2019 ◽  
Vol 16 (9) ◽  
pp. 1524 ◽  
Author(s):  
Furong Xu ◽  
Sue K. Adams ◽  
Steven A. Cohen ◽  
Jacob E. Earp ◽  
Mary L. Greaney
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Screen Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Sleep Quantity ◽  
Objectively Measured

Despite the health benefits associated with physical activity (PA), screen time reduction, and sleep quantity and quality, the relationships between PA, screen time, and sleep quantity and quality remain unclear in adolescents. The present study is a cross-sectional analysis of data from adolescents aged 16–19 years who participated in the 2005–2006 National Health and Nutrition Examination Survey (n = 542). Multivariable logistic regression models, adjusted for confounders, examined the relationship between objectively measured PA, self-reported screen time, and sleep quantity and quality. Respondents who met the current PA recommendation had 50% lower odds of having sufficient sleep (≥8 h) than those not meeting the recommendation (OR = 0.50, 95% CI: 0.26, 0.94). Respondents who met the screen time recommendation (≤2 h/day) had 55% lower odds of reporting poor sleep quality than those whose screen time exceeded the recommendation (OR = 0.45, 95% CI: 0.22, 0.91), with similar patterns observed for females and males. However, males who met both PA and screen time recommendations had 73% lower odds of reporting poor sleep quality than males who met neither recommendation (OR = 0.27, 95% CI: 0.07, 0.99). In conclusion, PA and screen time are associated with sleep quantity or sleep quality in adolescents, and there are differences in these associations by sex.

scholarly journals 106 Self-Reported Sleep and Resilience

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A43-A44
Author(s):  
Michelle Persich ◽  
Sara Cloonan ◽  
Michael Grandner ◽  
William Killgore
Keyword(s):  
Sleep Quality ◽  
Sleep Time ◽  
Self Report ◽  
Subjective Perception ◽  
Psychological Resilience ◽  
Cross Sectional ◽  
Sleep Quantity ◽  
The Past ◽  
Resilience Scale ◽  
Longitudinal Effects

Abstract Introduction Psychological resilience is the ability to withstand setbacks, adapt positively to challenges, and bounce back from the adversities of life. While the construct of resilience is broadly understood, the specific individual factors that contribute to the ability to be resilient and persevere in the face of difficulties remain poorly understood. We recently showed that psychological resilience during the COVID-19 pandemic was associated with a number of factors, including fewer complaints of insomnia, and others have suggested that sleep is an important contributor. We therefore tested the hypothesis that sleep quality and acute sleep quantity would combine to predict measures of psychological resilience and perseverance (i.e. “grit”). Methods We asked 447 adults (18–40 yrs; 72% female) to report the number of hours of sleep obtained the night before their assessment session (SLEEP), and complete several questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), the Connor-Davidson Resilience Scale (CD-RISC), Bartone Dispositional Resilience Scale (Hardiness), and the Grit Scale. Sleep metrics were used to predict resilience, hardiness, and grit using multiple linear regression. Results For resilience, PSQI (β=-.201, p&lt;.00003) and SLEEP (β=.155, p&lt;.001) each contributed uniquely to prediction of CD-RISC (R2=.08, p&lt;.00001). Hardiness was also predicted (R2=.08, p&lt;.00001) by a combination of PSQI (β=-.218, p&lt;.00001) and SLEEP (β=.128, p=.007). Interestingly, worse sleep quality over the past month on the PSQI (β=.13, p=.008) in combination with more SLEEP the night before the assessment (β=.137, p=.005) each contributed uniquely to higher Grit (i.e., perseverance; R2=.03, p=.003). Conclusion Self-reported sleep quality and quantity were both independently associated with greater self-reported resilience, hardiness, and grit. While better sleep quality and more sleep the night before testing each uniquely predicted greater resilience and hardiness, a different pattern emerged for Grit. The combination of lower quality sleep over the past month followed by greater recent sleep duration was associated with increased perseverance. Whereas sleep quality appears to be more important for general resilience/hardiness, recent sleep time appears more important for the subjective perception of perseverance. Because these data are purely self-report and cross sectional, future work will need to determine the longitudinal effects on behavior. Support (if any):

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

Validity, Reliability and Sensitivity to Change of Three Consumer-grade Activity Trackers in Controlled and Free-living Conditions among Older Adults (Preprint)

2021 ◽  
Author(s):  
Kaja Kastelic ◽  
Marina Dobnik ◽  
Stefan Loefler ◽  
Christian Hofer ◽  
Nejc Šarabon
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Intraclass Correlation ◽  
Sleep Time ◽  
Living Conditions ◽  
Percentage Error ◽  
Sensitivity To Change ◽  
Free Living ◽  
Activity Trackers ◽  
Free Living Conditions

BACKGROUND Wrist worn consumer-grade activity trackers are popular devices, developed mainly for personal use, but with the potential to be used also for clinical and research purposes. OBJECTIVE The objective of this study was to explore the validity, reliability and sensitivity to change of movement behaviours metrics from three popular activity trackers (POLAR Vantage M, Garmin Vivosport and Garmin Vivoactive 4s) in controlled and free-living conditions when worn by older adults. METHODS Participants (n = 28; 74 ± 5 years) underwent a videotaped laboratory protocol while wearing all three activity trackers. On a separate occasion, participants wore one (randomly assigned) activity tracker and a research grade physical activity monitor ActiGraph wGT3X-BT simultaneously for six consecutive days for comparisons. RESULTS Both Garmin activity trackers showed excellent performance for step counts, with mean absolute percentage error (MAPE) below 20 % and intraclass correlation coefficient (ICC2,1) above 0.90 (P < .05), while Polar Vantage M substantially over counted steps (MAPE = 84 % and ICC2,1 = 0.37 for free-living conditions). MAPE for sleep time was within 10 % for all the trackers tested, while far beyond 20 % for all the physical activity and calories burned outputs. Both Garmin trackers showed fair agreement (ICC2,1 = 0.58–0.55) for measuring calories burned when compared with ActiGraph. CONCLUSIONS Garmin Vivoactive 4s showed overall best performance, especially for measuring steps and sleep time in healthy older adults. Minimal detectible change was consistently lower for an average day measures than for a single day measure, but still relatively high. The results provided in this study could be used to guide choice on activity trackers aiming for different purposes – individual use/care, longitudinal monitoring or in clinical trial setting.

Sign in / Sign up

Export Citation Format

Share Document