Correlates of Objectively Measured Sedentary Behavior in US Preschool Children

Physical activity, sedentary behavior, and sleep guidelines for preschool children were already established and integrated into the 24 h movement behavior guidelines in 2017. The aim of the current study was to investigate correlates of meeting or not meeting the physical activity, sedentary behavior, and sleep guidelines in Belgian preschool children. In total, 595 preschool children (53.3% boys, 46.7% girls, mean age: 4.2 years) provided complete data for the three behaviors and potentially associated correlates. Physical activity was objectively measured with accelerometers. Screen time, sleep duration, and correlates were reported by parents with the use of a questionnaire. Backward logistic regression was used to identify factors associated with meeting all guidelines for weekdays and weekend days. In the final model, older preschoolers (OR = 1.89), having a normal weight compared to being underweight (OR = 0.30), having parents that do not watch a lot of television (OR = 0.99), and having a father that attained higher education (OR = 1.91) were associated with meeting all guidelines on weekdays. For weekend days, a significant association was found for attending a sports club (OR = 1.08). Overall, only a few factors were associated with meeting the guidelines. A more comprehensive measurement of preschool children’s potential correlates of physical activity, sedentary behavior, and sleep is warranted.

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Objectively Measured Sedentary Time, Physical Activity and Markers of Body Fat in Preschool Children

Pediatric Exercise Science ◽

10.1123/pes.25.1.154 ◽

2013 ◽

Vol 25 (1) ◽

pp. 154-163 ◽

Cited By ~ 30

Author(s):

Vanesa España-Romero ◽

Jonathan A. Mitchell ◽

Marsha Dowda ◽

Jennifer R. O’Neill ◽

Russell R. Pate

Keyword(s):

Physical Activity ◽

Preschool Children ◽

Waist Circumference ◽

Quantile Regression ◽

Sedentary Behavior ◽

Parental Education ◽

Vigorous Physical Activity ◽

Positive Association ◽

Z Score ◽

Objectively Measured

The purpose of this study was to examine the associations between sedentary behavior and moderate to vigorous physical activity (MVPA), measured by accelerometry, with body mass index (BMI) and waist circumference in 357 preschool children. Linear mixed models were used adjusting for race/ethnicity, parental education, and preschool. Follow-up analyses were performed using quantile regression. Among boys, MVPA was positively associated with BMI z-score (b = 0.080, p = .04) but not with waist circumference; quantile regression showed that MVPA was positively associated with BMI z-score at the 50th percentile (b = 0.097, p < .05). Among girls, no associations were observed between sedentary behavior and MVPA in relation to mean BMI z-score and mean waist circumference. Quantile regression indicated that, among girls at the 90th waist circumference percentile, a positive association was found with sedentary behavior (b = 0.441, p < .05), and a negative association was observed with MVPA (b = −0.599, p < .05); no associations were found with BMI z-score. In conclusion, MVPA was positively associated with BMI z-score among boys, and MVPA was negatively associated and sedentary behavior was positively associated with waist circumference among girls at the 90th percentile.

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Correlates of Objectively Measured Sedentary Behavior in US Preschool Children

PEDIATRICS ◽

10.1542/peds.2011-0748 ◽

2011 ◽

Vol 128 (5) ◽

pp. 937-945 ◽

Cited By ~ 49

Author(s):

W. Byun ◽

M. Dowda ◽

R. R. Pate

Keyword(s):

Preschool Children ◽

Sedentary Behavior ◽

Objectively Measured

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Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

BMC Geriatrics ◽

10.1186/s12877-020-01856-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Li-Tang Tsai ◽

Eleanor Boyle ◽

Jan C. Brønd ◽

Gry Kock ◽

Mathias Skjødt ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Sedentary Behaviour ◽

Sleep Duration ◽

Activity Level ◽

Time In Bed ◽

Objectively Measured ◽

Objectively Measured Physical Activity ◽

Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

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Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study

BMC Public Health ◽

10.1186/s12889-016-3591-y ◽

2016 ◽

Vol 16 (1) ◽

Cited By ~ 40

Author(s):

Pauliina Husu ◽

Jaana Suni ◽

Henri Vähä-Ypyä ◽

Harri Sievänen ◽

Kari Tokola ◽

...

Keyword(s):

Physical Activity ◽

Sedentary Behavior ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Objectively Measured

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

Circulation ◽

10.1161/circ.137.suppl_1.p337 ◽

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.

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A Novel Physical Activity and Sedentary Behavior Classification and Its Relationship With Physical Fitness in Spanish Older Adults: The PHYSMED Study

Journal of Physical Activity and Health ◽

10.1123/jpah.2016-0263 ◽

2017 ◽

Vol 14 (10) ◽

pp. 815-822 ◽

Cited By ~ 4

Author(s):

Raquel Aparicio-Ugarriza ◽

Raquel Pedrero-Chamizo ◽

María del Mar Bibiloni ◽

Gonzalo Palacios ◽

Antoni Sureda ◽

...

Keyword(s):

Physical Activity ◽

Physical Fitness ◽

Sedentary Behavior ◽

Working At Home ◽

Health Authorities ◽

Body Strength ◽

Public Health Authorities ◽

Lower Body Strength ◽

Objectively Measured ◽

No Gold Standard

Background:As there is no gold-standard methodology to classify older people in relation to physical activity (PA) and sedentary behavior (SB), this paper aimed to propose a classification combining PA and SB.Methods:Within a broader study, 433 subjects, aged 55 years and older (57% females) from Madrid and Majorca, were evaluated for PA and SB by means of validated questionnaires. Physical fitness was analyzed objectively using the EXERNET test battery. Cluster analyses were used to establish behavioral patterns, combining PA and SB.Results:Males spent more time doing regular PA but less time walking and working at home than females (P < .001). Comparing the groups (inactive and high sedentary, inactive and low sedentary, active and high sedentary, and active and low sedentary), the worst aerobic endurance (P < .001) and lower body strength (P < .05) were obtained in males from both inactive groups. Agility was highest in the active and low sedentary group (P < .05). No significant differences were observed in females.Conclusions:The proposed classification is valid, as it classifies subjects according to their PA and SB, and outcomes are related to objectively measured fitness. It could facilitate the work of public health authorities, researchers, and physicians.

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Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-042669 ◽

2021 ◽

Vol 11 (1) ◽

pp. e042669

Author(s):

Justyna Wyszyńska ◽

Piotr Matłosz ◽

Muhammad Asif ◽

Agnieszka Szybisty ◽

Paweł Lenik ◽

...

Keyword(s):

Physical Activity ◽

Body Composition ◽

Preschool Children ◽

Muscle Mass ◽

Sleep Duration ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Sleep Parameters ◽

Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

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