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1 whilst also scoring poorly in another (e.g., sedentary time).
2 y activity, vigorous intensity activity, and sedentary time).
3  associated with larger increases in weekend sedentary time.
4 d for age, sex, body mass index and baseline sedentary time.
5 wards preventing the age-related increase in sedentary time.
6 ; 0.37, 1.66) and weekend (1.42; 0.65, 2.18) sedentary time.
7 time and 3.6 cm (95% CI, 2.8-4.3 cm) for low sedentary time.
8 lic risk factors regardless of the amount of sedentary time.
9 igher and lower MVPA were greater with lower sedentary time.
10 diometabolic risk factors across tertiles of sedentary time.
11 ants were stratified by tertiles of MVPA and sedentary time.
12 etabolic risk factors that is independent of sedentary time.
13 ntake, habitual physical activity (HPA), and sedentary time.
14 east moderate intensity rather than reducing sedentary time.
15 sociated with reduced activity and increased sedentary time.
16 ies and sleep duration when reallocated from sedentary time.
17  min/day, steps 3111+/-2290 vs. 7996+/-2649, sedentary time 1383+/-42 vs. 1339+/-44 min/day, p<0.01).
18 nts: 689.7, 746.5, and 799.4 min/d for total sedentary time; 7.7, 9.6, and 12.4 min/bout for sedentar
19 ifferent levels of sedentary time (vs lowest sedentary time) across studies.
20 nt-hours/day) was strongest for occupational sedentary time (adjusted CCC = 0.76, 95% CI: 0.64, 0.85)
21                                       Medium sedentary time also conveyed risk (hazard ratio, 1.13 [9
22 PA were 5.6 cm (95% CI, 4.8-6.4 cm) for high sedentary time and 3.6 cm (95% CI, 2.8-4.3 cm) for low s
23  We determined measurement properties of the Sedentary Time and Activity Reporting Questionnaire (STA
24 he relationship between objectively measured sedentary time and cardiometabolic biomarkers are sparse
25 data showed deleterious associations between sedentary time and cardiometabolic biomarkers, independe
26             No association was found between sedentary time and cardiorespiratory fitness (r = -.13,
27 ntitative, dose-response association between sedentary time and CVD risk is not known.
28                                   Except for sedentary time and diet, all examined health-related beh
29 th sedentary characteristics (ie, high total sedentary time and high sedentary bout duration) had the
30 us analyses, a nonlinear association between sedentary time and incident CVD was found (P for nonline
31  older that reported the association between sedentary time and incident CVD were included.
32                     Both the total volume of sedentary time and its accrual in prolonged, uninterrupt
33 1) described the mortality dose-response for sedentary time and light- and moderate-to-vigorous-inten
34                      The association between sedentary time and LTL was evaluated using multiple line
35 nsistency, and manner of association between sedentary time and outcomes independent of physical acti
36                Hazard ratios associated with sedentary time and outcomes were generally more pronounc
37                                              Sedentary time and PA were also mutually adjusted for on
38 ildren (49.1% males; 50.9% females) in which sedentary time and physical activity were measured with
39 ty in research designs and the assessment of sedentary time and physical activity.
40 Evaluation of the joint association of total sedentary time and sedentary bout duration showed that p
41 tantial validity for estimating occupational sedentary time and strenuous activity and fair validity
42 ve associations between objectively measured sedentary time and subcomponents of physical activity wi
43                      The association between sedentary time and the risk for CVD is nonlinear with an
44    The mean biases were relatively small for sedentary time and vigorous PA: 0.7 +/- 2.8 h/d and -12
45 ctively measured time spent being sedentary (sedentary time) and obesity indicators.
46                           Physical activity, sedentary time, and behavioral covariates were obtained
47 etween physical activity (PA) subcomponents, sedentary time, and body composition in preschoolers rem
48 odels estimated replacement associations for sedentary time, and separate models were fit for low- (<
49 e; (3) self-reported or objectively measured sedentary time; and (4) an outcome measure of metabolic
50 vigorous physical activity (MVPA) intensity; sedentary time; and body composition were analyzed by us
51     The association between birth weight and sedentary time appears partially mediated by central adi
52 easing light-intensity activity and reducing sedentary time are also important, particularly for inac
53 lf-reporting to evaluate the total volume of sedentary time as a prognostic risk factor for mortality
54 , 0.40), and WC (0.44; 0.23, 0.66) predicted sedentary time at follow-up after adjustment for sex, ba
55 seline was associated with higher amounts of sedentary time at follow-up.
56  95% CI: 0.0, 0.9), and objectively measured sedentary time (B = 0.8, 95% CI: 0.1, 1.4) at age 7 year
57 circumference was positively associated with sedentary time (B = 0.82, P < 0.001).
58  Birth weight was positively associated with sedentary time (B = 4.04, P = 0.006) and waist circumfer
59 r adjustment for sex, baseline age, baseline sedentary time, baseline physical activity energy expend
60                  BMI, FM, and WC may predict sedentary time, but our results do not suggest that sede
61 edian, 2.5 h/d), participants in the highest sedentary time category (median, 12.5 h/d) had an increa
62 tegorical analyses, compared with the lowest sedentary time category (median, 2.5 h/d), participants
63 alcohol intake, diet, physical activity, and sedentary time), comorbid conditions (diabetes, hyperten
64 ncrease physical activity level and decrease sedentary time could help reduce mortality risk in black
65     Daily unsupervised physical activity and sedentary time did not change in any exercise group vers
66                                              Sedentary time did not predict any of the obesity indica
67            Understanding the determinants of sedentary time during childhood contributes to the devel
68 igh for both sedentary characteristics (high sedentary time [&gt;/=12.5 h/d] and high bout duration [>/=
69 e highest quartile of accelerometer-measured sedentary time had significantly shorter LTL than those
70 ysical activity were significantly lower and sedentary time higher in the stroke group compared to co
71 e associations were not independent of total sedentary time; however, a significant interaction betwe
72  risk associated with intermediate levels of sedentary time (HR for 7.5 h/d, 1.02; 95% CI, 0.96-1.08)
73 multivariable-adjusted models, greater total sedentary time (HR, 1.22 [95% CI, 0.74 to 2.02]; HR, 1.6
74          Whether birth weight predicts later sedentary time in humans is uncertain.
75   This highlights the importance of reducing sedentary time in order to improve metabolic health, pos
76                                     Accruing sedentary time in prolonged, uninterrupted bouts may be
77 cise fall far short of replacing most of the sedentary time in the modern lifestyle, because both the
78 amined the relation between birth weight and sedentary time in youth and examined whether this associ
79 and abdominal adiposity may be correlates of sedentary time in youth.
80 s, low levels of physical activity, and high sedentary time increase the risk of cardiovascular disea
81 es have examined whether the manner in which sedentary time is accrued (in short or long bouts) carri
82 ave not examined whether the manner in which sedentary time is accrued (in short or long bouts) carri
83            Prior studies suggest that higher sedentary time is associated with a greater risk for car
84                                    Excessive sedentary time is ubiquitous in developed nations and is
85                                    Excessive sedentary time is ubiquitous in Western societies.
86  adjusting for WC.Physical activity, but not sedentary time, is prospectively associated with cardiom
87                                              Sedentary time (&lt;100 counts/min) was standardized to 16
88                   Both physical activity and sedentary time may be appropriate intervention targets f
89  basis of accelerometer measurements, higher sedentary time may be associated with shorter LTL among
90  collecting data regarding physical fitness, sedentary time, obesity measures (comprising body weight
91                                              Sedentary time (% of daytime hours) was measured by indi
92                                   High total sedentary time or high sedentary bout duration alone wer
93  There was no association with mortality for sedentary time or light or moderate-to-vigorous activity
94 diet, increased physical activity, decreased sedentary time, or a combination of these among adults w
95  (p = 0.04), and 13.2 (1.3, 25.2) min/d more sedentary time (p = 0.03).
96 x10(-)(2)(9)), and 3.5 (1.5, 5.5) min/d more sedentary time (p = 5.0x10(-)(4)).
97 ased risk observed for more than 10 hours of sedentary time per day (pooled HR, 1.08; 95% CI, 1.00-1.
98  to analyze the interrelation among obesity, sedentary time, physical fitness level, and asthma; a st
99 ry time, but our results do not suggest that sedentary time predicts future obesity.
100         This can explain why high amounts of sedentary time produce distinct metabolic and cardiovasc
101  (r = 0.70) and marginally insignificant for sedentary time (r = 0.27, P = 0.06).
102 lity benefits of light activity and risk for sedentary time remain uncertain.
103 , and the role of physical fitness level and sedentary time remains unexplored in the link between ob
104                              Controlling for sedentary time, sociodemographics, hypertension, diabete
105 gnificant indirect effect of birth weight on sedentary time through waist circumference (B: 1.30; 95%
106 eir physical fitness levels and reduce their sedentary time to prevent central obesity-related asthma
107 ines should target reducing and interrupting sedentary time to reduce risk for death.
108 xamined associations of objectively measured sedentary time (via Actical accelerometers for 7 days) a
109 dent CVD associated with different levels of sedentary time (vs lowest sedentary time) across studies
110                                     The mean sedentary time was 11.9 hours/d (74% of accelerometer we
111 easured in hospitals or maternally reported, sedentary time was assessed by using accelerometry (<100
112 ctivity and confounding variables, prolonged sedentary time was associated with decreased high-densit
113 ontrolled for, the effect of birth weight on sedentary time was attenuated by 32% (B = 2.74, P = 0.06
114                                              Sedentary time was calculated as the heart rate observat
115 iduals meeting physical activity guidelines, sedentary time was detrimentally associated with several
116                                    Prolonged sedentary time was independently associated with deleter
117                                              Sedentary time was measured using a hip-mounted accelero
118 ured at baseline and at follow-up 7 mo later.Sedentary time was not associated with any of the indivi
119                                              Sedentary time was not associated with any outcome indep
120                       Accelerometer-measured sedentary time was not associated with LTL in women abov
121                                Self-reported sedentary time was not associated with LTL.
122                                              Sedentary time was objectively measured with a hip-mount
123 on between sedentary bout duration and total sedentary time was observed.
124                                At follow-up, sedentary time was significantly correlated with BW (par
125                                 At baseline, sedentary time was significantly correlated with FM (par
126  in systolic blood pressure for high and low sedentary time were 0.7 mm Hg (95% CI, -0.07 to 1.6) and
127     Daily unsupervised physical activity and sedentary time were measured by accelerometer.
128                        Physical activity and sedentary time were measured objectively by individually
129                       Time spent in MVPA and sedentary time were measured using accelerometry after r
130                      Energy intake, HPA, and sedentary time were measured with the use of a 3-d weigh
131 (N = 6413 at 2.1 years' follow-up), MVPA and sedentary time were not associated with waist circumfere
132            Smaller increases in after-school sedentary time were observed in children with more sibli
133 hort designs were used in all but 3 studies; sedentary times were quantified using self-report in all
134 en objectively measured PA subcomponents and sedentary time with body composition in 4-y-old children
135 d associations between physical activity and sedentary time with cardiometabolic risk factors in heal
136      In less-active adults, replacing 1 h of sedentary time with either light- or moderate-to-vigorou
137    Additionally, replacing 30 minutes/day of sedentary time with equal amounts of low-light or high-l
138 d with the reallocation of 30 minutes/day of sedentary time with equal time of either sleep (2.2% low
139 Few studies have assessed the association of sedentary time with leukocyte telomere length (LTL).
140  of accelerometer-measured and self-reported sedentary time with LTL in a sample of 1,481 older white
141 ugh safely replacing a large amount of daily sedentary time with physical activity in everyone, regar
142 mortality benefits associated with replacing sedentary time with physical activity, accounting for to
143 endent associations between time in MVPA and sedentary time, with outcomes, were examined using meta-

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