ライフサイエンスコーパス: sedentary behavior

1 tion and acceleration to capture free-living sedentary behavior.

2 om addressing either or both component(s) of sedentary behavior.

3 ical activity and, potentially, increases in sedentary behavior.

4 living goals, excluding physical activity or sedentary behavior.

5 re objectively measured physical activity or sedentary behavior.

6 maintenance efficiency, with daily MVPA and sedentary behavior.

7 or interactions with physical activities and sedentary behavior.

8 commendations regarding the risks related to sedentary behavior.

9 according to levels of physical activity and sedentary behavior.

10 tation-related PA, and total sitting time as sedentary behavior.

11 , but they are also more likely to engage in sedentary behavior.

12 ed by unmeasured factors such as the type of sedentary behavior.

13 f their monitored time, or 7.7 hours/day, in sedentary behaviors.

14 gy and macronutrient intakes during targeted sedentary behaviors.

15 ve paid little attention to the reduction of sedentary behaviors.

16 impacts of 2 distinct approaches to changing sedentary behaviors.

17 igence, income, self-rated health status and sedentary behaviors.

18 ssages encouraging exercise and discouraging sedentary behaviors.

19 or 7 d, and self-reported meal practices and sedentary behaviors.

20 d broad guidelines that recommend minimizing sedentary behaviors.

21 diabetes group (HR per 30 minutes per day of sedentary behavior, 1.05 [95% CI 0.99-1.12]) and in the

22 n consisted of sleeping (7.13+/-1.19 hours), sedentary behavior (10.7+/-1.9 hours), standing (3.2+/-1

23 hours (32.8%) in sleep, 7.4 hours (31.2%) in sedentary behavior, 4.9 hours (20.7%) in low light inten

24 7.49 (95% CI, 7.48-7.49) for 9.27 hours/d of sedentary behavior, 8.06 (95% CI, 7.76-8.36) for 10 hour

25 and 31% of the variance in the time spent in sedentary behavior (95% CI: 9%, 51%).

26 er characterization of physical activity and sedentary behavior across life events and transitions in

27 suggesting changes in physical activity and sedentary behavior across life events and transitions.

28 ent and may involve alteration of eating and sedentary behavior after weight loss.

29 Based on the PFI, sedentary behavior, age, gender, and educational status

30 sweetened drinks as risk factors, as well as sedentary behavior; although a meta-analysis suggested t

31 ween sleep and daytime physical activity and sedentary behavior among adolescents from the Fragile Fa

32 i) worse verbal fluency via higher levels of sedentary behavior and (iii) worse episodic memory via s

33 This study examined the association between sedentary behavior and 1-year cardiac events/mortality a

34 ity of either intensity and higher levels of sedentary behavior and also a poor diet quality score (c

35 ntions and future quantitative guidelines on sedentary behavior and cardiovascular health outcomes.

36 ody fat, blood pressure, resting heart rate, sedentary behavior and demographics.

37 urement that are providing new insights into sedentary behavior and health.

38 haviors (for example, reduce tobacco use and sedentary behavior and improve diet) of workers, but eff

39 s with prediabetes may benefit from reducing sedentary behavior and improving multiple lifestyle fact

40 nonlinear association between time spent in sedentary behavior and incident dementia.

41 ce demonstrating an association between high sedentary behavior and increased risk of hypertensive di

42 lled trials testing the impact of decreasing sedentary behavior and increasing light-intensity physic

43 ing the health outcomes associated with high sedentary behavior and lack of physical activity during

44 ibe the existing evidence on device-measured sedentary behavior and light-intensity physical activity

45 sts that a waking behavior profile with less sedentary behavior and more light-intensity physical act

46 rm for studying long term effects of chronic sedentary behavior and muscle disuse in the genetically

47 found a robust inverse relationship between sedentary behavior and physical activity and sleep archi

48 jective and subjective sleep parameters with sedentary behavior and physical activity.

49 Sedentary behavior and physical inactivity are among the

50 Greater efforts at preventing sedentary behavior and physical inactivity while promoti

51 rt review, we discuss the negative impact of sedentary behavior and physical inactivity, as well as t

52 to determine whether the association between sedentary behavior and risk of dementia is causal.

53 al disease (PAD), we determined whether more sedentary behavior and slower outdoor walking speed were

54 ain is a global health problem that leads to sedentary behavior and tends to cause negative emotion.

55 The validity of sedentary behavior and total physical activity was highe

56 ability, and low energy were associated with sedentary behavior and/or a fast decline in activity.

57 he independent and combined effects of these sedentary behaviors and MVPA on mortality.

58 Sedentary behaviors and physical inactivity are not only

59 d with higher physical activity levels, less sedentary behavior, and better physical functioning comp

60 ed exposures in HCHS/SOL were steps per day, sedentary behavior, and counts per min.

61 Environmental influences are driving greater sedentary behavior, and dietary shifts towards processed

62 oning via higher body mass, higher levels of sedentary behavior, and higher stress, (ii) worse verbal

63 oss-sectionally associations among activity, sedentary behavior, and LTL among 7,813 women aged 43-70

64 stressful life events and chronic stressors, sedentary behavior, and number of chronic medical condit

65 alization may help improve patient activity, sedentary behavior, and other outcomes.

66 ned the association among physical activity, sedentary behavior, and ovarian cancer risk in the Ameri

67 vity, light-intensity physical activity, and sedentary behavior, and physical activity fragmentation.

68 e prevalence estimates of physical activity, sedentary behavior, and sleep (collectively known as mov

69 Movement behaviors (physical activity, sedentary behavior, and sleep) have been impacted by the

70 ganization guidelines for physical activity, sedentary behavior, and sleep.

71 urred in both groups for weight maintenance, sedentary behavior, and well-being outcomes, as well as

72 iseases, body mass index, diabetes, smoking, sedentary behaviors, and alcohol intake.

73 behaviors in adults; interventions to reduce sedentary behaviors; and the harms of behavioral counsel

74 partially mitigates excess risk, optimizing sedentary behavior appears to be important even among ph

75 Increasing physical activity and decreasing sedentary behavior are associated with a higher quality

76 Although physical activity and sedentary behavior are moderately heritable, little is k

77 Increased physical activity and decreased sedentary behaviors are essential components of obesity

78 Sedentary behaviors are increasing at the cost of millio

79 Sedentary behaviors are linked to adverse health outcome

80 These findings highlight reducing sedentary behavior as a potential strategy to improve po

81 y, whereas little attention has been paid to sedentary behavior as indicated by television (TV) watch

82 ial demonstrated the feasibility of changing sedentary behaviors as well as the distinct nature of si

83 heritability of daily physical activity and sedentary behavior assessed objectively by using combine

84 n validity of the 2008 Physical Activity and Sedentary Behavior Assessment Questionnaire (PASBAQ) was

85 cipation in domains of physical activity and sedentary behavior at 7 years of age were reported.

86 nd specific domains of physical activity and sedentary behavior at the age of 7 years were associated

87 ime (MVPA), leisure screen time (LST) and/or sedentary behavior at work.

88 completed questions on physical activity and sedentary behaviors at baseline.

89 f physical activity and reduce time spent in sedentary behaviors at home.

90 easures (physical activity, quality of life, sedentary behavior, body mass index, and waist circumfer

91 ood safety and children's physical activity, sedentary behavior, body mass, and obesity status using

92 behavior and (iii) worse episodic memory via sedentary behaviors, body mass, and substance use.

93 0% (increase phase), and decreasing targeted sedentary behaviors by 25-50% (decrease phase).

94 e 3-wk phases: baseline, increasing targeted sedentary behaviors by 25-50% (increase phase), and decr

95 o -4.02 minutes per day), more time spent in sedentary behaviors by 34.07 minutes per day (95% CI, 8.

96 e evidence that changes in physical activity/sedentary behavior can be maintained long term in indivi

97 s that include accelerometer-assessed PA and sedentary behavior can contribute to these recommendatio

98 Decreasing sedentary behaviors can decrease energy intake in nonove

99 We also review the evidence that sedentary behavior changes across life events and transi

100 mic status, race, cohort, physical activity, sedentary behavior, coffee, tea, time 1 body mass index,

101 ter weight loss did not increase appetite or sedentary behavior compared with placebo, despite increa

102 Sedentary behavior correlations showed no sex difference

103 ere those who provided physical activity and sedentary behavior data.

104 ntake decreased (-463.0 kcal/d; P<0.01) when sedentary behaviors decreased: the decrease in fat intak

105 line (1993 to 1998), provided information on sedentary behavior, defined as hours of sitting/day, and

106 oking, alcohol consumption, body mass index, sedentary behavior, diabetes mellitus, cardiovascular di

107 interaction on obesity, yet the influence of sedentary behavior, distinct from a lack of physical act

108 Higher sedentary behavior duration was associated with lower al

109 In the day-level analysis, higher levels of sedentary behavior during daytime were associated with l

110 eclines in physical activity or increases in sedentary behavior during life events and transitions is

111 ally reduced the excess CV risk conferred by sedentary behavior (eg, 30-minute decrease in sedentary

112 Sedentary behavior emerged as an independent predictor o

113 Our purpose here is to examine the role of sedentary behaviors, especially sitting, on mortality, c

114 Independent of exercise levels, sedentary behaviors, especially TV watching, were associ

115 nosis), comorbid conditions, and smoking and sedentary behavior explained 18.5%, 10.2%, and 7.0% of m

116 s further established to alarm the prolonged sedentary behaviors, facilitating the prevention of uppe

117 to 51.4 min/d (95% CI, 37.2 to65.7 min/d) of sedentary behavior for obesity vs reference range weight

118 indings emphasize the importance of reducing sedentary behavior for the prevention of cardiometabolic

119 inical guidelines identify the importance of sedentary behaviors for cardiovascular diseases, particu

120 of reducing prolonged TV watching and other sedentary behaviors for preventing obesity and diabetes.

121 -to-vigorous intensity physical activity and sedentary behavior from heart rate and acceleration data

122 y (active being defined as 150 min/week) and sedentary behavior (>8h/day) were assessed by questionna

123 active being defined as >= 150 min/week) and sedentary behavior (>8h/day) were assessed by questionna

124 Such evidence has led to new sedentary behavior guidelines and initiatives.

125 In large-scale cohort studies, sedentary behavior has been routinely measured using sel

126 od pressure, elevated resting heart rate and sedentary behavior have increased in recent decades due

127 all self-reports indicated lower duration of sedentary behavior, however, momentary reports were clos

128 modifiable risk factors, including smoking, sedentary behavior, hypogonadism, and growth hormone def

129 e-specified explorative outcomes, eating and sedentary behavior in 130 participants who completed the

130 tivity by questionnaire in 1988 and 1992 and sedentary behavior in 1992.

131 kers to increase physical activity or reduce sedentary behavior in adults (aged 18 years or older) wh

132 mortality risk or the harms associated with sedentary behavior in black adults, so we examined the r

133 nce advisory reviews the current evidence on sedentary behavior in terms of assessment methods, popul

134 e find that objectively logged reductions in sedentary behavior in the following month are linked to

135 this finding might be biased by the baseline sedentary behavior in the general population.

136 ctive measure of the amount of time spent in sedentary behavior in the US population and indicate tha

137 The role of sedentary behavior in this risk and the potential benefi

138 Targeted sedentary behaviors increased by 81.5 min/d (45.8%) and

139 te how experimental changes in the amount of sedentary behaviors influence energy intake.

140 Sedentary behavior is a risk factor for cardiometabolic

141 ulating that indicates greater time spent in sedentary behavior is associated with all-cause and card

142 Sedentary behavior is associated with cardiometabolic di

143 Sedentary behavior is broadly associated with future adv

144 ual variation in daily physical activity and sedentary behavior is mainly a result of environmental i

145 possible deleterious consequences of excess sedentary behavior is rapidly evolving, with the epidemi

146 Sedentary behavior is recognized as a distinct construct

147 Sedentary behavior is recognized as a distinct construct

148 wever, its relation to physical activity and sedentary behavior is unclear.

149 Decreasing sedentary behaviors is also a positive contribution, alt

150 the association between objectively measured sedentary behavior (its total volume and accrual in prol

151 The amounts of time spent in sedentary behavior, light-intensity activity, and modera

152 Accelerometer-assessed time spent in sedentary behavior, light-intensity physical activity (L

153 Sedentary behavior, light-intensity physical activity, m

154 t in moderate/vigorous physical activity and sedentary behavior, low-light and high-light physical ac

155 th increasing physical activity and reducing sedentary behavior may attenuate genetic associations wi

156 Changes in sedentary behavior may be related to changes in energy i

157 a marker for insufficient physical activity, sedentary behavior may directly affect future cardiovasc

158 from this study suggest that high levels of sedentary behavior may increase the risk of ovarian canc

159 o not return to pre-pregnancy PA levels, and sedentary behavior may increase.

160 Meal contexts and sedentary behaviors may represent important intervention

161 style factors (sleep, physical activity, and sedentary behavior) may predict obesity risk in early ad

162 , 0.15 to 0.54; I2 = 72%; P < .002) and less sedentary behavior (mean difference, -35.46 min/d; 95% C

163 erence, -5.42; 95% CI, -10.00 to -0.83), and sedentary behavior (mean difference, -9.76; 95% CI, -19.

164 udinal associations of physical activity and sedentary behavior, measured both objectively and via se

165 on (the Hadza of Tanzania) to understand how sedentary behaviors occur in a nonindustrial economic co

166 efore, we investigated physical activity and sedentary behavior of cancer survivors using data from t

167 et, few studies have examined the effects of sedentary behavior on cognition or the long-term role of

168 The risk of prolonged sedentary behavior on HF is unknown.

169 ted later in life can reverse the effects of sedentary behavior on the heart.

170 ing evidence documents that the influence of sedentary behaviors on brain health is not universally b

171 evidence evaluating the impact of decreasing sedentary behavior or increasing light-intensity physica

172 Little is known about the role of sedentary behavior or sleep in APOs, a critical gap in k

173 2) reported significantly longer duration of sedentary behavior (OR = 1.42, 95% CI (1.12, 1.80) for 8

174 (OR, 1.71, 95% CI, 1.21-2.43; AF, 6.7%), and sedentary behavior (OR, 2.06, 95% CI, 1.15-3.69; AF, 6.2

175 associations of reallocating time to sleep, sedentary behavior, or active behaviors with biomarkers.

176 earlier sleep onset predicted more next-day sedentary behavior (p < 0.0001), and nights with later s

177 duced average hourly PA (p < .01), increased sedentary behaviors (p < .01), and more prolonged bouts

178 Sedentary behaviors, particularly prolonged sitting and

179 rom 9.8 min/d (95% CI, 4.1 to 15.6 min/d) of sedentary behavior per 10-point decrease in SF-36 PCS to

180 d the 24-hour activity cycle (composition of sedentary behavior, physical activity, and sleep) with h

181 y proximate and, critically, span both early sedentary behaviors (Pinarbasi and Boncuklu) and the ris

182 Alcohol consumption and sedentary behavior played an essential role in facilitat

183 The degree of observed sedentary behavior post-HTx is surprising, with the majo

184 Sedentary behaviors predominate modern life, yet we do n

185 nation of rising mental health disorders and sedentary behavior presents a serious public health chal

186 al activity questionnaire and the Australian sedentary behavior questionnaire.

187 updates in the area of physical activity and sedentary behavior related to these recommendations as w

188 n HCHS/SOL between the composite outcome and sedentary behavior, results were similar in the prediabe

189 Mean daily steps, hours/day in sedentary behavior (SB) and minutes/week in moderate-to-

190 sical Activity Guidelines recommend reducing sedentary behavior (SB) for cardiovascular health.

191 Sedentary behavior (SB) is associated with cardiometabol

192 However, the role of sedentary behavior (SB) is less well understood.

193 Sedentary behavior (SB) is observationally associated wi

194 ciations between meal timing, adiposity, PA, sedentary behavior (SB), and GMB characteristics are of

195 stimated associations of quartiles of steps, sedentary behavior (SB), and moderate-to-vigorous intens

196 Cumulative physical activity (PA), sedentary behavior (SB), sleep, and diet quality from ch

197 Sedentary behaviors (SB) are characterized by low energy

198 luding limited evidence on the importance of sedentary behaviors (screen time) and their interactions

199 ental evidence on the health consequences of sedentary behavior; second, we describe solutions-focuse

200 a longer REM latency, while higher levels of sedentary behavior showed the opposite pattern.

201 Girls increased sedentary behaviors significantly more than did boys (10

202 S included physical activity, dietary score, sedentary behavior, sleep duration, and smoking (range:

203 ster of pregnancy to examine associations of sedentary behavior, sleep, and the 24-hour activity cycl

204 and spring blood draw, history of diabetes, sedentary behavior, smoking, and black race/ethnicity.

205 or composition comprising 6 parts (sleeping, sedentary behavior, standing, slow walking, fast walking

206 inactivity in children is important because sedentary behavior strongly relates to metabolic disorde

207 ther specific depressogenic behaviors (e.g., sedentary behavior/substance use) mediate a relationship

208 time spent watching television and in other sedentary behaviors such as playing videogames may contr

209 such as jogging, running, and bicycling) and sedentary behavior (such as spending hours watching tele

210 nefit brain health, whereas mentally passive sedentary behavior, such as television viewing, may not

211 recent findings suggest that mentally active sedentary behavior, such as video gaming, may benefit br

212 This refined sedentary behavior taxonomy may open novel perspectives

213 Information on sedentary behavior (television watching and computer tim

214 On days with more sedentary behavior than an individual's average, sleep o

215 Relative to a median of 9.27 hours/d for sedentary behavior, the hazard ratios (HRs) for dementia

216 analyses, after adjustment for time spent in sedentary behavior, the mean daily sedentary bout length

217 Mean daily sedentary behavior time (included in the primary analysi

218 th >10.6 h/d of sedentary time, reallocating sedentary behavior to other activities substantially red

219 gage in daily physical activity; to minimize sedentary behavior; to consume plenty of healthy fats (i

220 relevance to distinguish effects of specific sedentary behavior types on brain health-related outcome

221 However, a prolonged duration of sedentary behavior was associated with an increased risk

222 Sedentary behavior was associated with increased risk of

223 Accelerometer-assessed sedentary behavior was generally not associated with all

224 The prevalence of sedentary behavior was higher in older children.

225 In contrast, sedentary behavior was independently related to an incre

226 In contrast, sedentary behavior was positively related to risk for sy

227 Time spent in sedentary behaviors was positively associated with morta

228 Among older adults, more time spent in sedentary behaviors was significantly associated with hi

229 Parity was associated with sedentary behavior, weight gain, and higher triglyceride

230 unts min-1d-1 (estimated at 113.1 kcal) when sedentary behaviors were decreased (P<0.05).

231 changes in energy intake were observed when sedentary behaviors were increased.

232 Sedentary behaviors were positively associated with mort

233 should be encouraged to reduce time spent in sedentary behaviors, when possible, and to participate i

234 Understanding the mechanistic predictors of sedentary behaviors will improve future intervention dev

235 Regularly interrupting sedentary behavior with activity breaks may lower this r

236 tudy, we explored the associations of PA and sedentary behavior with all-cause and cardiovascular dis

237 Associations of physical activity and sedentary behavior with cognition appear to be context-s

238 the association of prolonged, uninterrupted sedentary behavior with glycemic biomarkers in a cohort

239 We examined the association of sedentary behavior with risk of ovarian cancer overall,

240 associations between accelerometer-measured sedentary behavior with risk of specific CV outcomes, in

241 Replacing sedentary behavior with sleep, light-intensity physical

242 lth-related covariates (high body mass index/sedentary behavior) with worse performance across multip

243 howed significant interactions with MVPA and sedentary behavior, with effects on BMI and other adipos

244 sociations underlying complex out-of-session sedentary behaviors within a walking intervention settin