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Mine Yildirim, Anna Schoeni, Amika S. Singh, Teatske M. Altenburg, Johannes Brug, Ilse De Bourdeaudhuij, Eva Kovacs, Bettina Bringolf-Isler, Yannis Manios and Mai J.M. Chinapaw

Background:

The aim of the study was to examine the association of daily variations in rainfall and temperature with sedentary time (ST) and physical activity (PA) in European children.

Methods:

Children were included from 5 countries (Belgium, Greece, Hungary, the Netherlands, Switzerland) as part of the ENERGY-project. We used cross-sectional data from 722 children aged 10–12 years (47% boys). ST and PA were measured by accelerometers for 6 consecutive days, including weekend days. Weather data were collected from online national weather reports. Multilevel regression models were used for data analyses.

Results:

Maximum temperature was positively associated with light PA (β = 3.1 min/day; 95% CI = 2.4–3.8), moderate-to-vigorous PA (β = 0.6 min/day; 95% CI = 0.4–0.8), and average PA [β = 4.1 counts per minute (cpm); 95% CI = 1.6–6.5, quadratic relationship]. Rainfall was inversely and quadratically associated with light PA (β = –1.3 min/day; 95% CI = –1.9 to –0.6), moderate-to-vigorous PA (β = –0.6 min/day; 95% CI = –0.8 to –0.3), and average PA (β = –1.6 cpm; 95% CI = –2.2 to –0.9). Maximum temperature was not significantly associated with ST (β = –0.2 min/day; 95% CI = –1.0 to 0.6), while rainfall was positively associated with ST (β = 0.9 min/day; 95% CI = 0.6–1.3).

Conclusion:

The current study shows that temperature and rainfall are significantly associated with PA and ST in 10- to 12-year-old European children.

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Melisa Comte, Erin Hobin, Steve Manske, Catherine Casey, Jane Griffith, Carly Leggett, Paul Veugelers, Donna Murnaghan and Jonathan McGavock

Objectives:

The purpose of this study was to determine if participation in physical education (PE) was associated with increased moderate-to-vigorous physical activity (MVPA) levels in adolescents.

Methods:

This was a cross sectional study comparing MVPA levels in senior-years students—grade 11 and 12—enrolled in high school PE during the semester data were collected compared with those not enrolled in PE in that same semester. The primary outcome measure was daily MVPA measured by accelerometry. The primary exposure was participation in PE.

Results:

Among the 508 adolescents (16.9 ± 0.8 yrs, 49% female, n = 338 exposed to PE) studied, no differences in MVPA (47.0 ± 25.8 vs. 43.9 ± 25.0 mins/day, P = .25) or sedentary time (540.2 ± 94.7 vs. 550.2 ± 79.4 mins/day, P = .79) were noted between students enrolled in PE compared with students not enrolled in PE. Participation in PE was associated with a greater odds of achieving >60 minutes of MVPA daily (OR: 1.69; 95% CI: 1.04−2.75). This association was stronger among boys (OR: 2.4; 95% CI: 1.2−4.8) than girls (OR: 1.17; 95% CI: 5−2.7).

Conclusion:

Enrollment in PE in grade 11 or 12 is associated with modestly higher levels of MVPA and an increased likelihood of meeting PA guidelines among students in grades 11 and 12, particularly among boys.

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Emma Weston, Matthew Nagy, Tiwaloluwa A. Ajibewa, Molly O’Sullivan, Shannon Block and Rebecca E. Hasson

few researchers have directly measured BP. Emerging evidence suggests that interrupting prolonged periods of sedentary time is associated with decreased BP in adults. Larsen et al ( 25 ) observed decreased SBP and DBP in response to breaking up prolonged sitting with light- and moderate-intensity 2

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Xanne Janssen, Dylan P. Cliff, John J. Reilly, Trina Hinkley, Rachel A. Jones, Marijka Batterham, Ulf Ekelund, Soren Brage and Anthony D. Okely

This study examined the classification accuracy of the activPAL, including total time spent sedentary and total number of breaks in sedentary behavior (SB) in 4- to 6-year-old children. Forty children aged 4–6 years (5.3 ± 1.0 years) completed a ~150-min laboratory protocol involving sedentary, light, and moderate- to vigorous-intensity activities. Posture was coded as sit/lie, stand, walk, or other using direct observation. Posture was classified using the activPAL software. Classification accuracy was evaluated using sensitivity, specificity and area under the receiver operating characteristic curve (ROC-AUC). Time spent in each posture and total number of breaks in SB were compared using paired sample t-tests. The activPAL showed good classification accuracy for sitting (ROC-AUC = 0.84) and fair classification accuracy for standing and walking (0.76 and 0.73, respectively). Time spent in sit/lie and stand was overestimated by 5.9% (95% CI = 0.6−11.1%) and 14.8% (11.6−17.9%), respectively; walking was underestimated by 10.0% (−12.9−7.0%). Total number of breaks in SB were significantly overestimated (55 ± 27 over the course of the protocol; p < .01). The activPAL performed well when classifying postures in young children. However, the activPAL has difficulty classifying other postures, such as kneeling. In addition, when predicting time spent in different postures and total number of breaks in SB the activPAL appeared not to be accurate.

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Alexis C. Frazier-Wood, Ingrid B. Borecki, Mary F. Feitosa, Paul N. Hopkins, Caren E. Smith and Donna K. Arnett

Background:

Time spent in sedentary activities (such as watching television) has previously been associated with several risk factors for cardiovascular disease (CVD) such as increased low-density lipoprotein cholesterol (LDL-C). Little is known about associations with lipoprotein subfractions. Using television and computer screen time in hours per day as a measure of sedentary time, we examined the association of screen time with lipoprotein subfractions.

Methods:

Data were used from men and women forming the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study population. Mixed linear models specified lipoprotein measures as the outcome, and screen time as the predictor for fourteen lipoprotein subfraction measures, and included age, smoking status, pedigree, and fat, carbohydrate daily alcohol and energy intake as covariates. Analyses were run separately for men (n = 623) and women (n = 671). A step-down Bonferroni correction was applied to results. The analysis was repeated for significant results (p < .05), additionally controlling for body mass index (BMI) and moderate and vigorous physical activity.

Results:

Linear models indicated that screen time was associated with five lipoprotein parameters in women: the concentration of large VLDL particles (p = .01), LDL particle number (p = .01), concentration of small LDL particles (p = .04), the concentration of large HDL particles (p = .04), and HDL diameter (p = .02). All associations remained after controlling for moderate or vigorous physical activity and BMI.

Conclusions:

We show that sedentary time is associated with lipoprotein measures, markers of cardiometabolic disease, independently of physical activity and BMI, in women but not men.

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Kosuke Tamura, Jeffrey S. Wilson, Robin C. Puett, David B. Klenosky, William A. Harper and Philip J. Troped

adjusted models. Trail use was only significantly associated with VPA in the age-adjusted model (β = 2.5 mean min/d). Trail use was inversely associated with SB in both age and fully adjusted models. Table 3 Associations Between Trail Use and Objective Measures of PA and Sedentary Time (N = 431 Person

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Katja Borodulin, Anja Kärki, Tiina Laatikainen, Markku Peltonen and Riitta Luoto

Background:

Daily sitting time may be a risk factor for incident cardiovascular disease (CVD); however, this has not yet been extensively studied. Our aim was to study the association of total sitting time with the risk of CVD.

Methods:

Participants (n = 4516, free of CVD at baseline) from the National FINRISK 2002 Study were followed for fatal and nonfatal CVD using national registers. Participants underwent a health examination and completed questionnaires, including total daily sitting time.

Results:

During a mean follow-up of 8.6 years, 183 incident CVD cases occurred. Sitting on a typical weekday, at baseline, was statistically significantly associated with fatal and nonfatal incident CVD. The hazard ratios (with 95% confidence intervals, CI) for the total amount of sitting were 1.05 (95% CI, 1.00–1.10) in the age and gender adjusted model and 1.06 (95% CI, 1.01–1.11) in the fully adjusted model, including age, gender, employment status, education, BMI, smoking status, leisure time physical activity, use of vegetables and fruit, alcohol use, blood pressure or its medication, and cholesterol or its medication.

Conclusions:

Our findings suggest that total amount of daily sitting is a risk factor for incident CVD. More research is needed to understand the etiology of sedentary behavior and CVD.

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Vanesa España-Romero, Jonathan A. Mitchell, Marsha Dowda, Jennifer R. O’Neill and Russell R. Pate

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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Sofiya Alhassan, John R. Sirard, Laura B. F. Kurdziel, Samantha Merrigan, Cory Greever and Rebecca M. C. Spencer

Purpose:

The purpose of this study was to cross-validate previously developed Actiwatch (AW; Ekblom et al. 2012) and AcitGraph (AG; Sirard et al. 2005; AG-P, Pate et al. 2006) cut-point equations to categorize free-living physical activity (PA) of preschoolers using direct observation (DO) as the criterion measure. A secondary aim was to compare output from the AW and the AG from previously developed equations.

Methods:

Participants’ (n = 33; age = 4.4 ± 0.8 yrs; females, n=12) PA was directly observed for three 10-min periods during the preschool-day while wearing the AW (nondominant wrist) and AG (waist). Device specific cut-points were used to reduce the AW-E (Ekblom et al. 2012) and AG (AG-S, Sirard et al. 2005; AG-P, Pate et al. 2006) data into intensity categories. Spearman correlations (rsp) and agreement statistics were used to assess associations between the DO intensity categories and device data. Mixed model regression was used to identify differences in times spent in activity intensity categories.

Results:

There was a significant correlation between AW and AG output across all data (rsp = 0.41, p < .0001) and both were associated with the DO intensity categories (AW: rsp = 0.47, AG: rsp = 0.47; p < .001). At the individual level, all devices demonstrated relatively low sensitivity but higher specificity. At the group level, AW-E and AG-P provided similar estimates of time spent in moderate-to-vigorous PA (MVPA, AW-E: 4.7 ± 4.1, AG-P: 4.4 ± 3.3), compared with DO (5.1 ± 3.5). Conclusion: The AW-E and AG-P estimated times spent in MVPA were similar to DO, but the weak agreement statistics indicate that neither device cut-point equations provided accurate estimates at the individual level.