Differences in physical activity between weekdays and weekend days among U.S. children and adults: Cross-sectional analysis of NHANES 2011–2014 data

To, Quyen G.; Stanton, Robert; Schöeppe, Stephanie; Doering, Thomas; Vandelanotte, Corneel

doi:10.1016/j.pmedr.2022.101892

Cited by 12 publications

(11 citation statements)

References 54 publications

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“…Daily mean wear time was significantly lower on weekend days (mean ± SE, 1222 ± 4.8 min·d −1 ) compared with weekdays (1258 ± 3.5 min·d −1 , P < 0.001), which aligns with previous research (29). We also found that wear fatigue was significantly higher for participants ending on a weekend compared with a weekday ( β ± SE, −21.8 ± 1.1 min·d −1 vs −15.0 ± 0.8 min·d −1 , P < 0.001), but weekly mean wear time did not differ (mean ± SE, 1244 ± 6.13 min·d −1 for weekend completion vs 1251 ± 5.0 min·day −1 weekday completion, P = 0.46).…”

Section: Resultssupporting

confidence: 91%

Does Wrist-Worn Accelerometer Wear Compliance Wane over a Free-Living Assessment Period? An NHANES Analysis

LAMUNION,

BRYCHTA,

SAINT-MAURICE

et al. 2023

Medicine &Amp; Science in Sports &Amp; Exercise

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Purpose Accelerometers are used to objectively measure physical behaviors in free-living environments, typically for ≥7 consecutive days. We examined whether participants experience “wear fatigue”, a decline in wear time day over day, during typical assessment period acquired in a nationally representative sample of 6-80-year-olds in the United States (U.S.). Methods Participants were instructed to wear an ActiGraph GT3X+ on their non-dominant wrist continuously for 7 consecutive days. Participants with seven complete days of recorded data, regardless of wear status, were included in the analyses (N = 13,649). Wear was scored with the Sleep-Wake-and-Nonwear (SWaN) algorithm. Results Participants averaged 1248 ± 3.6 (Mean ± SE) min·day-1 of wear over the assessment but wear time linearly decreased from day 1 (1295 ± 3.2 minutes) to day 7 (1170 ± 5.3 minutes) resulting in a wear fatigue of -18.1 ± 0.7 min·day-1 (β ± SE). Wear fatigue did not differ by sex but varied by age group - highest in adolescents (-26.8 ± 2.4 min·day-1) and lowest in older adults (-9.3 ± 0.9 min·day-1). Wear was lower in evening (18:00-23:59) and early morning (00:00-05:59) compared to the middle of the day and on weekend days compared to weekdays. We verified similar wear fatigue (-23.5 ± 0.7 min·day-1) in a separate sample (N = 14,631) with hip-worn devices and different wear-scoring. Applying minimum wear criteria of ≥10 h·day-1 for ≥4 days reduced wear fatigue to -5.3 mins·day-1 and -18.7 mins·day-1 for the wrist and hip, respectively. Conclusions Patterns of wear suggest non-compliance may disproportionately affect estimates of sleep and sedentary behavior, particularly for adolescents. Further study is needed to determine the impact of wear fatigue on longer assessments.

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Section: Resultssupporting

confidence: 91%

Does Wrist-Worn Accelerometer Wear Compliance Wane over a Free-Living Assessment Period? An NHANES Analysis

LAMUNION,

BRYCHTA,

SAINT-MAURICE

et al. 2023

Medicine &Amp; Science in Sports &Amp; Exercise

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“…However, the main difference between the most active groups and the least active group ( consistently low activity ) was that in the active groups there were more women than men. This finding corroborates prior studies showing that women have more total accelerometer‐measured daily physical activity compared to men 4,8,37 . Some of this sex difference may also be explained by engagement in household chores.…”

Section: Discussionsupporting

confidence: 91%

“…Those having lower education and a manual occupation were more presented in this group compared to the other groups, which likely explains high activity levels during midday on weekdays (including typical worktime). In contrast, weekday evening and weekend physical activity levels were low (typical leisure time), which is consistent with previous studies among individuals with lower education 37 . Low LTPA may be related to the need to recover from physically strenuous work, but also to other factors such as limited financial resources and social support 20,21 .…”

Section: Discussionsupporting

confidence: 89%

“…In contrast, weekday evening and weekend physical activity levels were low (typical leisure time), which is consistent with previous studies among individuals with lower education. 37 Low LTPA may be related to the need to recover from physically strenuous work, but also to other factors such as limited financial resources and social support. 20,21 Those in the active on weekdays group also had relatively low levels of adolescent LTPA, that is, the time before entering the work life.…”

Section: Discussionmentioning

confidence: 99%

“…This finding corroborates prior studies showing that women have more total accelerometer-measured daily physical activity compared to men. 4,8,37 Some of this sex difference may also be explained by engagement in household chores. Although time use statistics from Finland suggest that the gap between women and men in time used for household chores has diminished during the last decades, women still use more time in household chores compared to men across all age groups 38,39 and these activities are likely well captured with wrist-worn accelerometers.…”

Section: Discussionmentioning

confidence: 99%

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Weekday and weekend physical activity patterns and their correlates among young adults

Suorsa,

Leskinen,

Rovio

et al. 2023

Scandinavian Med Sci Sports

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BackgroundAccelerometers enable assessment of within and between day variation in physical activity. The main aim was to examine weekday and weekend physical activity patterns among young adults. Additionally, correlates of the physical activity patterns were examined.MethodsOverall 325 adults (mean age 26.0 years, standard deviation 0.03) from the Special Turku Coronary Risk Factor Intervention Project used a wrist‐worn ActiGraph accelerometer continuously for 1 week. Physical activity patterns over weekdays and weekends were identified by using the group‐based trajectory modeling. Adolescent leisure time physical activity (LTPA) and sociodemographic characteristics (sex, marital and family status, education, work status, occupation, and health consciousness) were examined as possible correlates of physical activity patterns using multinomial regression analysis.ResultsFive patterns were identified: consistently low activity (45%), active on weekday evenings and weekends (32%), consistently moderate activity (11%), active on weekdays (7%), and consistently high activity (5%). Low adolescent LTPA was associated with consistently low activity pattern in young adulthood. Women were more likely than men to belong in the more physically active groups (all other groups except active on weekdays, odds ratios between 2.26 and 6.17). Those in the active on weekdays group had lower education, were more often in the working life and in manual occupations than those in the consistently low activity group.ConclusionsMarked heterogeneity in physical activity patterns across the week was observed among young adults. Especially history of physical activity, sex, education, work status, and occupation were associated with different physical activity patterns.

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Physical Activity and Sedentary Time Among U.S. Adolescents Before and During COVID-19: Findings From a Large Cohort Study

Hunt,

Brazendale,

De Moraes

et al. 2024

AJPM Focus

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Differences in physical activity between weekdays and weekend days among U.S. children and adults: Cross-sectional analysis of NHANES 2011–2014 data

Cited by 12 publications

References 54 publications

Does Wrist-Worn Accelerometer Wear Compliance Wane over a Free-Living Assessment Period? An NHANES Analysis

Does Wrist-Worn Accelerometer Wear Compliance Wane over a Free-Living Assessment Period? An NHANES Analysis

Weekday and weekend physical activity patterns and their correlates among young adults

Physical Activity and Sedentary Time Among U.S. Adolescents Before and During COVID-19: Findings From a Large Cohort Study

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