ライフサイエンスコーパス: sedentary time

1 whilst also scoring poorly in another (e.g., sedentary time).

2 y activity, vigorous intensity activity, and sedentary time).

3 sociated with reduced activity and increased sedentary time.

4 ies and sleep duration when reallocated from sedentary time.

5 associated with larger increases in weekend sedentary time.

6 d for age, sex, body mass index and baseline sedentary time.

7 wards preventing the age-related increase in sedentary time.

8 ; 0.37, 1.66) and weekend (1.42; 0.65, 2.18) sedentary time.

9 time and 3.6 cm (95% CI, 2.8-4.3 cm) for low sedentary time.

10 lic risk factors regardless of the amount of sedentary time.

11 igher and lower MVPA were greater with lower sedentary time.

12 diometabolic risk factors across tertiles of sedentary time.

13 ants were stratified by tertiles of MVPA and sedentary time.

14 sical activity, light physical activity, and sedentary time.

15 ncrease in physical activity and decrease in sedentary time.

16 onmental-level interventions on occupational sedentary time.

17 ep counts, as well as lower mean duration of sedentary time.

18 o predict lower physical activity and higher sedentary time.

19 tions with increased alcohol consumption and sedentary time.

20 n leads to physical inactivity and increased sedentary time.

21 ffective intervention strategies to minimise sedentary time.

22 te to vigorous physical activity (MVPA), and sedentary time.

23 .74, - 0.485) were associated with breaks in sedentary time.

24 ad to additional health benefits by reducing sedentary time.

25 ions to promote physical activity and reduce sedentary time.

26 sleep, nutrition quality, diet quantity and sedentary time.

27 from substituting alternative activities for sedentary time.

28 ng status, deprivation, body mass index, and sedentary time.

29 .015, 95%CI: -0.021; -0.009), independent of sedentary time.

30 to mitigate the mortality risks incurred by sedentary time.

31 2) lower susceptibility to framing with more sedentary time.

32 etabolic risk factors that is independent of sedentary time.

33 ntake, habitual physical activity (HPA), and sedentary time.

34 ets, cereals, animal and dairy products, and sedentary time.

35 east moderate intensity rather than reducing sedentary time.

36 0.02], and higher BMI was causal for longer sedentary time (0.13 (0.08, 0.17), p = 6.3 x 10(-4)).

37 ow certainty evidence) and for reductions in sedentary time (-0.58, -1.03 to -0.14, equivalent to -51

38 t stroke risk (HR per 1-hour/day increase in sedentary time: 1.14; 95% CI, 1.02-1.28; P = .02), and L

39 min/day, steps 3111+/-2290 vs. 7996+/-2649, sedentary time 1383+/-42 vs. 1339+/-44 min/day, p<0.01).

40 endently associated with weight regain were: sedentary time [2.9% (1.2-4.7), for highest vs lowest qu

41 42.1 +/- 291.3 min/week p = 0.022) and more sedentary time (487.2 +/- 224.2 vs. 514.1 +/- 228.7.

42 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

43 ifferent levels of sedentary time (vs lowest sedentary time) across studies.

44 nt-hours/day) was strongest for occupational sedentary time (adjusted CCC = 0.76, 95% CI: 0.64, 0.85)

45 Medium sedentary time also conveyed risk (hazard ratio, 1.13 [9

46 thropometric outcomes, physical activity and sedentary time among adolescents were objectively measur

47 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

48 We determined measurement properties of the Sedentary Time and Activity Reporting Questionnaire (STA

49 e bidirectional, causal relationship between sedentary time and BMI suggests that decreasing sedentar

50 evidence of bidirectional causality between sedentary time and BMI: longer sedentary time was causal

51 Dose-response associations of sedentary time and bout duration with CVD were linear (P

52 he relationship between objectively measured sedentary time and cardiometabolic biomarkers are sparse

53 data showed deleterious associations between sedentary time and cardiometabolic biomarkers, independe

54 No association was found between sedentary time and cardiorespiratory fitness (r = -.13,

55 ntial effect of MVPA on associations between sedentary time and CV disease by including MVPA as an ad

56 ntitative, dose-response association between sedentary time and CVD risk is not known.

57 n device (SitFIT) allowed self-monitoring of sedentary time and daily steps, and a game-based app (Ma

58 Except for sedentary time and diet, all examined health-related beh

59 ffect suggests that the relationship between sedentary time and DMC may be moderated by unmeasured fa

60 th sedentary characteristics (ie, high total sedentary time and high sedentary bout duration) had the

61 us analyses, a nonlinear association between sedentary time and incident CVD was found (P for nonline

62 older that reported the association between sedentary time and incident CVD were included.

63 Both the total volume of sedentary time and its accrual in prolonged, uninterrupt

64 e of activity that should be substituted for sedentary time and its potentially most hazardous form (

65 1) described the mortality dose-response for sedentary time and light- and moderate-to-vigorous-inten

66 Women jointly classified as having high sedentary time and long bout durations had significantly

67 Both high sedentary time and long mean bout durations were associa

68 The association between sedentary time and LTL was evaluated using multiple line

69 Average daily sedentary time and mean sedentary bout duration were the

70 nsistency, and manner of association between sedentary time and outcomes independent of physical acti

71 Hazard ratios associated with sedentary time and outcomes were generally more pronounc

72 Sedentary time and PA were also mutually adjusted for on

73 dren, (1) nap habituality is associated with sedentary time and physical activity (movement behaviors

74 ildren (49.1% males; 50.9% females) in which sedentary time and physical activity were measured with

75 Primary outcome (objectively measured sedentary time and physical activity) measurements were

76 ty in research designs and the assessment of sedentary time and physical activity.

77 Evaluation of the joint association of total sedentary time and sedentary bout duration showed that p

78 1.34; CI=1.08-1.65) than women with both low sedentary time and short bout duration.

79 tantial validity for estimating occupational sedentary time and strenuous activity and fair validity

80 ve associations between objectively measured sedentary time and subcomponents of physical activity wi

81 time, with tertile 1 representing the lowest sedentary time and tertile 3 the highest.

82 The association between sedentary time and the risk for CVD is nonlinear with an

83 The mean biases were relatively small for sedentary time and vigorous PA: 0.7 +/- 2.8 h/d and -12

84 ctively measured time spent being sedentary (sedentary time) and obesity indicators.

85 ional causality between physical inactivity, sedentary time, and adiposity by bidirectional Mendelian

86 Physical activity, sedentary time, and behavioral covariates were obtained

87 etween physical activity (PA) subcomponents, sedentary time, and body composition in preschoolers rem

88 sessions aimed to improve physical activity, sedentary time, and diet and maintain changes long term.

89 odels estimated replacement associations for sedentary time, and separate models were fit for low- (<

90 This study mapped PA, sedentary time, and sleep from early pregnancy to one ye

91 e; (3) self-reported or objectively measured sedentary time; and (4) an outcome measure of metabolic

92 vigorous physical activity (MVPA) intensity; sedentary time; and body composition were analyzed by us

93 The association between birth weight and sedentary time appears partially mediated by central adi

94 easing light-intensity activity and reducing sedentary time are also important, particularly for inac

95 Physical inactivity and increased sedentary time are associated with excess weight gain in

96 ew studies have examined whether patterns of sedentary time are associated with higher risk for CVD.

97 Physical inactivity and sedentary time are particularly high in older adults, pr

98 lf-reporting to evaluate the total volume of sedentary time as a prognostic risk factor for mortality

99 howed a baseline-adjusted mean difference in sedentary time at 12 months of -1.6 minutes/day (97.5% c

100 arkers of cardiometabolic health, but not in sedentary time at 12 months.

101 , 0.40), and WC (0.44; 0.23, 0.66) predicted sedentary time at follow-up after adjustment for sex, ba

102 seline was associated with higher amounts of sedentary time at follow-up.

103 r later life, were associated with increased sedentary time at the expense of time in physical activi

104 terventions influenced physical activity and sedentary time at work.

105 in the Mini arm also had significantly lower sedentary time (at 12, 18, and 24 weeks) and spent more

106 cacy for control over MS was associated with sedentary time (B = 0.16, 95% CI 0.01, 0.30).

107 95% CI: 0.0, 0.9), and objectively measured sedentary time (B = 0.8, 95% CI: 0.1, 1.4) at age 7 year

108 circumference was positively associated with sedentary time (B = 0.82, P < 0.001).

109 Birth weight was positively associated with sedentary time (B = 4.04, P = 0.006) and waist circumfer

110 r adjustment for sex, baseline age, baseline sedentary time, baseline physical activity energy expend

111 in total or in 10-min bouts or more), daily sedentary time, body-mass index, or fat mass percentage

112 BMI, FM, and WC may predict sedentary time, but our results do not suggest that sede

113 tite suppression score by 14%, and increased sedentary time by 31 min/day and regained weight.

114 us restriction of food intake, and decreased sedentary time by 41 min/day (-10 vs. 31 min/day; 95%CI,

115 on, older adults in the intervention reduced sedentary time by more than 30 min/d and reduced systoli

116 edian, 2.5 h/d), participants in the highest sedentary time category (median, 12.5 h/d) had an increa

117 tegorical analyses, compared with the lowest sedentary time category (median, 2.5 h/d), participants

118 alcohol intake, diet, physical activity, and sedentary time), comorbid conditions (diabetes, hyperten

119 ncrease physical activity level and decrease sedentary time could help reduce mortality risk in black

120 s willing to pay pound 1,800 per minute less sedentary time/day, and 0.13 probability if society is w

121 kstations produced the largest reductions in sedentary time, decreasing it by up to 75 min per day (9

122 Daily unsupervised physical activity and sedentary time did not change in any exercise group vers

123 Sedentary time did not predict any of the obesity indica

124 ehavior change related to physical activity, sedentary time, dietary intake, tobacco cessation, and s

125 0.5-1.1]; P < .001), and 10.9 vs 11.7 h/d of sedentary time (difference, -0.8 [95% CI, -1.0 to -0.5];

126 Understanding the determinants of sedentary time during childhood contributes to the devel

127 study identified several behaviors (eg, more sedentary time, eating fast food, binge eating, eating c

128 edentary behavior (eg, 30-minute decrease in sedentary time for HF: HR: 0.93; 95% CI: 0.90-0.96), eve

129 Increasing PA and reducing sedentary time for primary HFpEF prevention may have rel

130 ictors of lower physical activity and higher sedentary time from childhood to adulthood.

131 igh for both sedentary characteristics (high sedentary time [>/=12.5 h/d] and high bout duration [>/=

132 y) vs. the lowest (<= ~9 hr/day) quartile of sedentary time had higher risk for CVD (HR=1.62; CI=1.21

133 e highest quartile of accelerometer-measured sedentary time had significantly shorter LTL than those

134 ysical activity were significantly lower and sedentary time higher in the stroke group compared to co

135 e associations were not independent of total sedentary time; however, a significant interaction betwe

136 risk associated with intermediate levels of sedentary time (HR for 7.5 h/d, 1.02; 95% CI, 0.96-1.08)

137 multivariable-adjusted models, greater total sedentary time (HR, 1.22 [95% CI, 0.74 to 2.02]; HR, 1.6

138 or accelerometer-based physical activity and sedentary time in 91,105 individuals and for body mass i

139 umes and associations with symptoms, PA, and sedentary time in GWVs with and without CMP.

140 Whether birth weight predicts later sedentary time in humans is uncertain.

141 ) programme to improve physical activity and sedentary time in male football fans, delivered through

142 This highlights the importance of reducing sedentary time in order to improve metabolic health, pos

143 Accruing sedentary time in prolonged, uninterrupted bouts may be

144 cise fall far short of replacing most of the sedentary time in the modern lifestyle, because both the

145 second quartile (8.2-9.4 h/d) as a referent, sedentary time in the top quartile (>10.6 h/d) was assoc

146 amined the relation between birth weight and sedentary time in youth and examined whether this associ

147 and abdominal adiposity may be correlates of sedentary time in youth.

148 s, low levels of physical activity, and high sedentary time increase the risk of cardiovascular disea

149 es have examined whether the manner in which sedentary time is accrued (in short or long bouts) carri

150 ave not examined whether the manner in which sedentary time is accrued (in short or long bouts) carri

151 Prior studies suggest that higher sedentary time is associated with a greater risk for car

152 Evidence that higher sedentary time is associated with higher risk for cardio

153 entary time and BMI suggests that decreasing sedentary time is beneficial for weight management, but

154 Excessive sedentary time is ubiquitous in developed nations and is

155 Excessive sedentary time is ubiquitous in Western societies.

156 adjusting for WC.Physical activity, but not sedentary time, is prospectively associated with cardiom

157 Sedentary time, light-intensity physical activity (LIPA)

158 Sedentary time (<100 counts/min) was standardized to 16

159 for dominant wrist based on ENMO to classify sedentary time (<50 mg), light PA (50-110 mg), moderate

160 rocessed food intake, physical activity, and sedentary time, maternal consumption of ultra-processed

161 Both physical activity and sedentary time may be appropriate intervention targets f

162 basis of accelerometer measurements, higher sedentary time may be associated with shorter LTL among

163 rrent smoking were associated with decreased sedentary time (mean time difference in cross-sectional

164 to vigorous-intensity physical activity, and sedentary time, measured by an accelerometer.

165 ) higher susceptibility to framing with more sedentary time, mediated through lower local and global

166 sical activity, total physical activity, and sedentary time (minutes per day), and enjoyment of and a

167 collecting data regarding physical fitness, sedentary time, obesity measures (comprising body weight

168 Sedentary time (% of daytime hours) was measured by indi

169 High total sedentary time or high sedentary bout duration alone wer

170 There was no association with mortality for sedentary time or light or moderate-to-vigorous activity

171 diet, increased physical activity, decreased sedentary time, or a combination of these among adults w

172 us physical activity ( P=0.01) and increased sedentary time ( P=0.004).

173 associations were observed for either PA or sedentary time (p > 0.05(adjusted)).

174 ociated with less MVPA (p < 0.0001) and less sedentary time (p < 0.0001, p = 0.004) the next day.

175 (p = 0.04), and 13.2 (1.3, 25.2) min/d more sedentary time (p = 0.03).

176 x10(-)(2)(9)), and 3.5 (1.5, 5.5) min/d more sedentary time (p = 5.0x10(-)(4)).

177 ased risk observed for more than 10 hours of sedentary time per day (pooled HR, 1.08; 95% CI, 1.00-1.

178 med to determine if 24-h movement behaviors (sedentary time, physical activity, and sleep), considere

179 to analyze the interrelation among obesity, sedentary time, physical fitness level, and asthma; a st

180 ry time, but our results do not suggest that sedentary time predicts future obesity.

181 This can explain why high amounts of sedentary time produce distinct metabolic and cardiovasc

182 (r = 0.70) and marginally insignificant for sedentary time (r = 0.27, P = 0.06).

183 Among individuals with >10.6 h/d of sedentary time, reallocating sedentary behavior to other

184 nent exercise training (3 days.week(-1)) and sedentary time reduction (>=30 minutes.day(-1)) program

185 bstitution analyses, replacing 30 minutes of sedentary time (referent) with sleep (HR, 0.86 [95% CI,

186 How daily physical activity and sedentary time relate to human judgement and functional

187 lity benefits of light activity and risk for sedentary time remain uncertain.

188 Sedentary time remained similar.

189 , and the role of physical fitness level and sedentary time remains unexplored in the link between ob

190 orted by 53% of the participants), increased sedentary time (reported by 63%), increased snacking, de

191 se testing (CPET) and objective PA measures [sedentary time (SED), steps/day, and moderate-vigorous P

192 ing, alcohol intake, BMI, physical activity, sedentary time, sleep duration, and dietary habits) with

193 tus, alcohol consumption, physical activity, sedentary time, sleep duration, and fruit and vegetable

194 Controlling for sedentary time, sociodemographics, hypertension, diabete

195 ociations between physical activity (PA) and sedentary time (ST) with vascular structure and function

196 diation relationships of accelerometer-based sedentary time (ST), light physical activity (LPA), and

197 to test associations between PA intensities, sedentary time, symptoms, and gray matter volumes.

198 ged in less moderate-to-vigorous PA and more sedentary time than healthy GWVs (all p values < 0.05).

199 After adjustment for sedentary time, the highest tertile of unbouted MVPA (sh

200 gnificant indirect effect of birth weight on sedentary time through waist circumference (B: 1.30; 95%

201 ate-to-vigorous physical activity (MVPA) and sedentary time to decision-making competence (DMC) in yo

202 yses to estimate the effects of reallocating sedentary time to other activities.

203 eir physical fitness levels and reduce their sedentary time to prevent central obesity-related asthma

204 ines should target reducing and interrupting sedentary time to reduce risk for death.

205 xamined associations of objectively measured sedentary time (via Actical accelerometers for 7 days) a

206 dent CVD associated with different levels of sedentary time (vs lowest sedentary time) across studies

207 The mean sedentary time was 11.9 hours/d (74% of accelerometer we

208 Mean sedentary time was 13.6 h/d (SD, 1.8).

209 ) undergoing 1 week of accelerometry, median sedentary time was 9.4 h/d (Q1-Q3: 8.2-10.6).

210 Higher sedentary time was also associated with greater risks of

211 easured in hospitals or maternally reported, sedentary time was assessed by using accelerometry (<100

212 Higher sedentary time was associated with a 44% greater risk of

213 -1.48) at ages 10 to 11 years, while greater sedentary time was associated with better inhibitory con

214 ctivity and confounding variables, prolonged sedentary time was associated with decreased high-densit

215 Sedentary time was associated with increased risk of car

216 ontrolled for, the effect of birth weight on sedentary time was attenuated by 32% (B = 2.74, P = 0.06

217 Sedentary time was calculated as the heart rate observat

218 ality between sedentary time and BMI: longer sedentary time was causal for higher BMI [beta (95% CI)

219 iduals meeting physical activity guidelines, sedentary time was detrimentally associated with several

220 Sedentary time was independently associated only with hi

221 Prolonged sedentary time was independently associated with deleter

222 al interviewing to increase MVPA or decrease sedentary time was lacking in general population samples

223 Sedentary time was measured by accelerometry between 200

224 Sedentary time was measured using a hip-mounted accelero

225 ured at baseline and at follow-up 7 mo later.Sedentary time was not associated with any of the indivi

226 Sedentary time was not associated with any outcome indep

227 Accelerometer-measured sedentary time was not associated with LTL in women abov

228 Self-reported sedentary time was not associated with LTL.

229 Sedentary time was objectively measured with a hip-mount

230 on between sedentary bout duration and total sedentary time was observed.

231 When expressed as continuous variables, sedentary time was positively associated with incident s

232 Sedentary time was related to lower susceptibility to a

233 At follow-up, sedentary time was significantly correlated with BW (par

234 At baseline, sedentary time was significantly correlated with FM (par

235 activity in adults was low, and for MVPA and sedentary time was very low.

236 in systolic blood pressure for high and low sedentary time were 0.7 mm Hg (95% CI, -0.07 to 1.6) and

237 ay), prolonged bouts ( 30 min) and breaks in sedentary time were calculated.

238 Daily unsupervised physical activity and sedentary time were measured by accelerometer.

239 Physical activity and sedentary time were measured objectively by individually

240 Time spent in MVPA and sedentary time were measured using accelerometry after r

241 Energy intake, HPA, and sedentary time were measured with the use of a 3-d weigh

242 (N = 6413 at 2.1 years' follow-up), MVPA and sedentary time were not associated with waist circumfere

243 Smaller increases in after-school sedentary time were observed in children with more sibli

244 study, objectively measured LIPA, MVPA, and sedentary time were significantly and independently asso

245 hort designs were used in all but 3 studies; sedentary times were quantified using self-report in all

246 s are emerging strategies aiming at reducing sedentary time while working.

247 en objectively measured PA subcomponents and sedentary time with body composition in 4-y-old children

248 f objectively-measured physical activity and sedentary time with body composition outcomes at 30 year

249 tion with mortality risk for replacing total sedentary time with both LIPA (per 30 minutes, hazard ra

250 d associations between physical activity and sedentary time with cardiometabolic risk factors in heal

251 In less-active adults, replacing 1 h of sedentary time with either light- or moderate-to-vigorou

252 Additionally, replacing 30 minutes/day of sedentary time with equal amounts of low-light or high-l

253 d with the reallocation of 30 minutes/day of sedentary time with equal time of either sleep (2.2% low

254 ssociated with lower risk (and greater total sedentary time with higher risk) of overall HF and HFpEF

255 iations between accelerometer-measured daily sedentary time with incident atrial fibrillation (AF), m

256 Few studies have assessed the association of sedentary time with leukocyte telomere length (LTL).

257 niques to examine whether 1) replacing total sedentary time with light-intensity or moderate to vigor

258 These findings suggest that replacing sedentary time with LIPA, or even very short bouts of MV

259 of accelerometer-measured and self-reported sedentary time with LTL in a sample of 1,481 older white

260 risk and the potential benefits of replacing sedentary time with other activities remain unclear.

261 ugh safely replacing a large amount of daily sedentary time with physical activity in everyone, regar

262 mortality benefits associated with replacing sedentary time with physical activity, accounting for to

263 : 1.01, 1.02; P < 0.001] per 10 minutes more sedentary time, with 10 minutes less light activity per

264 : 1.05, 1.08; P < 0.001] per 10 minutes more sedentary time, with 10 minutes less MVPA per day).

265 endent associations between time in MVPA and sedentary time, with outcomes, were examined using meta-

266 rticipants were categorized into tertiles of sedentary time, with tertile 1 representing the lowest s