ライフサイエンスコーパス: screen time

1 20 minutes] for every 10 minutes more total screen time).

2 r every additional 10 minutes of interactive screen time).

3 nts engage in 2 h or more daily recreational screen time.

4 nd mainly focuses on risk related to overall screen time.

5 creen time, and attitudes towards children's screen time.

6 us (SES), parent-child activities, and child screen time.

7 s likely associated with increased levels of screen time.

8 of the COVID-19 lockdown on young children's screen time.

9 ssigned European ancestry with self-reported screen time.

10 g concern over the potential effects of high screen time.

11 leep quality, diet quality, and recreational screen time.

12 l activity and 4.4 (2.5) h/d of recreational screen time.

13 tilevel factors were associated with carrier screening timing.

14 xplained the greatest amount of variation in screening timing.

15 Greater maternal weekend screen-time (0.45; 0.08, 0.83) and, in girls, greater pa

16 d tomographic (CT) scans in annual rounds of screening (time 1) were retrospectively identified that

17 xamination time (21.0% importance), 3-minute screening time (12.9% importance), private area provisio

18 group) or asked to abstain from screen time (screen time abstinent group) for 48 hours after injury.

19 me permitted group, and 44 patients from the screen time abstinent group).

20 ays (IQR, 2.0 to >10.0 days; P = .03) in the screen time abstinent group.

21 ith 130 minutes (IQR, 61-275 minutes) in the screen time abstinent group.

22 roup, and 59 patients were randomized to the screen time abstinent group.

23 Linear mixed-effects models were used for screen time adjusted for child's age, number of siblings

24 erved in samples examining both recreational screen time alone (k = 54; 84 min/d) and total daily scr

25 Screen time, although not the only factor, likely plays

26 gest that infants younger than 2 years avoid screen time altogether, while children aged 2 to 5 years

27 flourishing, regular bedtimes, and moderate screen time among Asian American children compared with

28 These findings suggest that screen time among children increased during the COVID-19

29 s and school closures that may have affected screen time among children.

30 with cognitive and psychosocial outcomes and screen time among young children, although the effect si

31 A total of 238 children (57%) had high screen time and 266 (64%) had a television/computer in t

32 ain variables of interest in this study were screen time and ASD.

33 ed for most of the association between child screen time and attention problems and for 42.7% of the

34 status; informants and measurement type for screen time and behavior problems; study publication yea

35 r day) vs high (>2 hours per day) amounts of screen time and by the presence (no vs yes) of a televis

36 with increased evening activities, increased screen time and changed sleep schedules.

37 Knowledge of the relationship between screen time and child development and health will inform

38 d small but significant correlations between screen time and children's behavior problems.

39 Approximately 25% of the association between screen time and CVD events was explained collectively by

40 in) markers mediate the relationship between screen time and CVD events.

41 luded 4604 girls and 3668 boys with complete screen time and diet data on >/=2 consecutive questionna

42 ally mediated the association between infant screen time and executive functioning at school age (exp

43 kers mediated the association between infant screen time and executive functions.

44 hat these effects are mediated through total screen time and exposure to media violence.

45 No association between screen time and flourishing was found among children age

46 cross-sectional study, a combination of low screen time and high step count was associated with lowe

47 ition technology to capture young children's screen time and home language environment, on an average

48 These findings emphasize reducing screen time and increasing PA to promote mental health i

49 d for 42.7% of the association between child screen time and internalizing problems.

50 primary studies; 1,937,501 participants) of screen time and outcomes.

51 ific Report and may be used to inform future screen time and physical activity guidance for adolescen

52 ntial part of the associations between child screen time and psychiatric problems.

53 ays of food records, and survey questions on screen time and sleep disturbance.

54 accelerometry and parent-/caregiver-reported screen time and sleep duration data.

55 Screen time and sleep duration were proxy reported by pa

56 eeded to understand the relationship between screen time and specific sensory-related developmental a

57 Evidence of effect modification between screen time and step count was observed for BMI percenti

58 In models including both screen time and step count, medium (risk ratio [RR], 1.2

59 e, coinciding also with a decline in tobacco screen time and suggesting that enforced limits on tobac

60 primary care settings, high levels of total screen time and TV and digital media in young children w

61 Parental beliefs/attitudes regarding screen time and TV viewing habits of young children.

62 We conclude that NGS is efficient, reduces screening time and cost, and facilitates the provision o

63 cation of active compounds, while decreasing screening time and resources.

64 ce on the importance of sedentary behaviors (screen time) and their interactions with physical activi

65 Outcomes included physical activity, screen time, and attempted weight loss.

66 itively associated with child age, caregiver screen time, and attitudes towards children's screen tim

67 ht or obesity risk for adolescents with high screen time, and low screen time may not offset higher o

68 to 17 years self-reported physical activity, screen time, and mental health, and their parents report

69 eport data on mood and behavioral aspects of screen time, and no molecular theory has yet been develo

70 perience of being bullied, family affluence, screen time, and physical activity.

71 he overall guidelines for physical activity, screen time, and sleep duration.

72 ent, psychosocial health, physical activity, screen time, and sleep.

73 rate-to-vigorous physical activity and lower screen time appear to be beneficial to insulin sensitivi

74 st that shorter sleep duration and excessive screen time are growing problems among children and coul

75 Both preterm birth and increased screen time are known to be associated with an increase

76 Children's physical activity and screen time are likely suboptimal during the COVID-19 pa

77 t including remote school), and recreational screen time assessed via the ECHO Child Media Use questi

78 ting dietary behavior, physical activity and screen time at age 11.

79 Screen time at age 12 months contributed to multiple 9-y

80 The mean (SD) amount of daily screen time at age 12 months was 2.01 (1.86) hours.

81 Parent-reported screen time at age 12 months.

82 increased intake of total FLNQ, and greater screen time at baseline (except DVDs/videos) was associa

83 Greater screen time at baseline (except electronic games in boys

84 Total screen time at baseline was not associated with outcomes

85 rst-ever study to report the effects of high screen time at the molecular level, and these results pr

86 may be a healthier alternative to sedentary screen time because of a lower energy surplus, but the p

87 changes in the duration (minutes per day) of screen time before and during the pandemic; children, ad

88 based cross-sectional research suggests that screen time before bed correlates with poor sleep, self-

89 leep hygiene recommendations to restrict all screen time before bed seem neither achievable nor appro

90 n [SD] age, 12.9 [1.1] years), all but 1 had screen time before bed.

91 pporting pediatric recommendations, removing screen time before toddler bedtime was feasible and show

92 d meals (OR 0.4 [95% CI, 0.2-0.7]) and lower screen time (beta = -1.1 hours per day [95% CI, -2.0 to

93 elevision time PRS was associated with child screen time (beta = 0.18 SD; 95% CI, 0.14-0.23 SD), the

94 3 [95% CI, -0.57 to -0.09] per 30-min/d) and screen time (beta = 0.49 [95% CI, 0.18-0.81] per 30-min/

95 s physical activity using accelerometry, and screen time by average daily hours of self-reported tele

96 r study reveals that TrialGPT can reduce the screening time by 42.6% in patient recruitment.

97 Screening time can be reduced by orders of magnitude; mo

98 Objectively measured screen time, captured using wearable or stationary video

99 1.37) and high (RR, 1.29; 95% CI, 1.16-1.44) screen time categories were associated with higher overw

100 weight or obesity risk compared with the low screen time category.

101 est early in the pandemic, it is unclear how screen time changed as the pandemic progressed.

102 ics recommends limits on digital media use ("screen time"), citing cognitive-behavioral risks.

103 dinal cohort study with repeated measures of screen time collected before the pandemic and during 2 p

104 ime alone (k = 54; 84 min/d) and total daily screen time combining recreational and educational use (

105 Change in daily screen time comparing estimates taken before vs during t

106 ship between physical activity and sedentary screen time continue to show inconsistent results, altho

107 The findings of this study suggest that high screen time contributes to adverse cognitive, executive

108 Child physical activity, screen time, COVID-19 stressors, and demographics.

109 % female), the proportion of those with high screen time (defined as >=1 h/d for children aged 6 mont

110 ling unsafe was associated with screen time, screen time did not predict weight status.

111 The primary outcome was the association of screen time duration with externalizing (eg, aggression,

112 ndings of this study indicated that avoiding screen time during acute concussion recovery may shorten

113 schooling requirements were exposed to more screen time during lockdown than before lockdown.

114 , there was no evidence that the increase in screen time during lockdown was associated with socio-de

115 However, screen time during lockdown was negatively associated wi

116 ne schooling requirements also had increased screen time during lockdown.

117 The long-term association of increased screen time during the COVID-19 pandemic with children's

118 We examined children's screen time during the first COVID-19 lockdown in a larg

119 urprisingly, were reported to have increased screen time during the first COVID-19 lockdown in many c

120 ned beverages; sleep; physical activity; and screen time) during a 2-year intervention period.

121 Traditional screen time (e.g. TV and videogaming) has been linked to

122 in the literature on the association between screen time (eg, television, video games) and children's

123 The nature, timing, and persistence of screen time exposure on neural functions are currently u

124 Early interventions to reduce screen time exposure should be developed and tested to e

125 y would help to further assess the effect of screen time exposure.

126 ds, portion distortion, sweetened beverages, screen time, food addiction, intestinal microbiota, diet

127 acco and alcohol brand counts and seconds of screen time for the pre-MSA period from 1996 through 199

128 The MSA also heralded a drop in tobacco screen time for youth- and adult-rated movies (42.3% [95

129 egiver myopia (OR, 1.46; 95% CI, 1.37-1.56), screen time >= 1 hour per weekdays (OR, 1.10; 95% CI, 1.

130 Females, high daily screen time (> 6 h), and the use of contact lenses were

131 years, the pooled prevalence of meeting the screen time guideline (0 h/d) was 24.7% (95% CI, 19.0%-3

132 5 years, the mean prevalence of meeting the screen time guideline (1 h/d) was 35.6% (95% CI, 30.6%-4

133 yses revealed that the prevalence of meeting screen time guidelines varied as a function of type of d

134 analyses revealed that prevalence of meeting screen time guidelines varied as a function of year of d

135 and the prevalence of meeting (or exceeding) screen time guidelines was reported.

136 Prevalence of meeting screen time guidelines.

137 of children 5 years and younger are meeting screen time guidelines.

138 eclines in meeting the physical activity and screen time guidelines.

139 es in families in Australia follow age-based screen time guidelines.

140 Increased duration of screen time had a small but significant correlation with

141 Children's exposure to screen time has been associated with poor mental health

142 Toddler screen time has been associated with poorer sleep and di

143 ied sex demonstrated a significant effect of screen time (hazard ratio [HR], 0.51; 95% CI, 0.29-0.90)

144 ce (Fitbit), and categories of self-reported screen time hours per day (with 0 to 4 hours per day ind

145 Included studies measured screen time (ie, duration) and externalizing or internal

146 e sought to assess longitudinal relations of screen time [ie, television, electronic games, digital v

147 in the US, the increased prevalence of high screen time in 2020 returned to prepandemic levels in 20

148 Every 10 minutes of additional screen time in bed was associated with shorter total sle

149 :1) to (1) PASTI: caregivers removed toddler screen time in the hour before bed and used activities f

150 the Babylab, and with 10 minutes or more of screen time in the hour before bed on 3 or more days a w

151 creational parent-child activities and child screen time in wave 1 mediated the relation between Wave

152 inal associations between different types of screen time in young children and academic achievement i

153 Child-reported daily screen time (in hours) was ascertained from questionnair

154 Low physical fitness levels and high screen time increase the risk of central obesity, which

155 Young children's screen time increased during the COVID-19 lockdown in 20

156 trategies aimed at reducing parents' weekend screen-time, increasing family participation in sports o

157 tics, including eligible population, mode of screening, time intervals for screening, programme provi

158 ons (dietary behavior, physical activity and screen time interventions) and assuming 100% interventio

159 terest (ROIs) identified in a prior study of screen time involving adolescents, controlling for sex,

160 Screen time is a risk factor for obesity, possibly becau

161 Childhood screen time is associated with both attentional difficul

162 Young children's screen time is increasing, raising concerns about its ne

163 milies, whereby young children's exposure to screen time is interfering with opportunities to talk an

164 r families, clinicians, and educators beyond screen time limits; including encouraging intentional an

165 activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work.

166 Daily screen time (<1, 1, 2, 3, or >=4 h/d) reported by partic

167 Main exposures were interviewer-assessed screen time (<2 h/day; 2 to <4 h/day; and >/=4 h/day) an

168 e- to vigorous-intensity physical activity), screen time (<=1 h/d), and sleep duration (10-13 h/d) wa

169 suboptimal amounts of physical activity and screen time, making this a potentially important target

170 technology-based interference) suggests that screen time may be interfering with opportunities for ta

171 r adolescents with high screen time, and low screen time may not offset higher overweight or obesity

172 e, 7.0 [2.7] years; 100 female [43.9%]) with screen time measured during the prepandemic period and a

173 The screen time measurement closest before the outcome was u

174 clines by over half to less than 30 min, and screen time more than doubles to over 5 h per day.

175 creen time permitted group reported a median screen time of 630 minutes (IQR, 415-995 minutes) during

176 during the pandemic there was an increase in screen time of 84 min/d (1.4 h/d), representing a 52% in

177 nford Cable News Analyzer, which reports the screen time of various political actors on cable news, a

178 thelial growth factor were measured at study screening (time of active disease) and at month 6.

179 it was found that high heating rates enabled screening times of 3-5 min per sample.

180 Understanding the causal impact of screen time on early development is of the highest impor

181 erns regarding the implications of excessive screen time on the development of autism spectrum disord

182 tudy, use of an objective method showed that screen time once in bed was associated with impairment o

183 The association between high screen time or a television or computer in the bedroom i

184 opia was marginally increased with increased screen time (OR = 2.32; 95% CI, 0.94-6.47; P = 0.083).

185 eneration Asian American), and have moderate screen time (OR, 0.92 [95% CI, 0.84-1.00] for second-gen

186 ent, psychosocial health, physical activity, screen time, or sleep.

187 ed before-bed activities, with no mention of screen time; or (3) no intervention (NI): continued as u

188 ange in alcohol brand appearances or alcohol screen time overall.

189 Smoking (p = 0.002) and screen time (p = 0.009) preserved their significance in

190 Increased screen time (p-value < 0.05) and non-smokers (p-value <

191 dependently or collectively may have shifted screen time patterns.

192 The screen time permitted group had a significantly longer m

193 The screen time permitted group reported a median screen tim

194 e either permitted to engage in screen time (screen time permitted group) or asked to abstain from sc

195 Wilcoxon rank sum test (47 patients from the screen time permitted group, and 44 patients from the sc

196 total of 66 patients were randomized to the screen time permitted group, and 59 patients were random

197 story of myopia, outdoor time, reading time, screen time, physical activity, and consumption of refin

198 13 years) self-reported feelings of safety, screen time, physical activity, and objectively assessed

199 Each hour-per-day increase in total screen time predicted increased intakes of sugar-sweeten

200 lens wearers, smoking, oral contraceptives, screen time) proved an 84.7% predictability for symptoma

201 ent (r = -0.10; 95% CI, -0.19 to -0.01), and screen time (r = 0.23; 95% CI, 0.13 to 0.32).

202 Prior research has largely focused on total screen time rather than longitudinal addictive use traje

203 d after further adjustment for outdoor time, screen time, reading time, and parental myopia (adjusted

204 There are limited data to guide screen time recommendations after concussion.

205 ge of children who met physical activity and screen-time recommendations and to examine demographic d

206 , 0.38-0.95]), they were more likely to meet screen-time recommendations compared with non-Hispanic w

207 n 10 children met both physical activity and screen-time recommendations concurrently.

208 -reported adherence to physical activity and screen-time recommendations, separately and concurrently

209 and physical activity promotion, as well as screen time reduction interventions at age 11 could have

210 ) for participants engaging in >/=4 h/day of screen time relative to <2 h/day.

211 ated over the course of the pandemic, though screen time remained significantly higher than pre-pande

212 4 or more hours per day vs 1 hour per day of screen time, respectively, among children aged 3 to 5 ye

213 4 or more hours per day vs 1 hour per day of screen time, respectively, among children aged 3 to 5 ye

214 own in 2020, but it is unknown whether their screen time returned to prepandemic levels in 2021.

215 ctors of myopia were marginally significant: screen time (risk) and outdoor time (protective).

216 me permitted group) or asked to abstain from screen time (screen time abstinent group) for 48 hours a

217 Patients were either permitted to engage in screen time (screen time permitted group) or asked to ab

218 Although feeling unsafe was associated with screen time, screen time did not predict weight status.

219 ock is promoting it (for example, late-night screen time, shift work and nocturnal social activities)

220 The impacts on screen time, social interactions and sleep duration at t

221 vels of passive coping strategies (increased screen time, social media, and intake of comfort foods)

222 PA and screen time (ST) assessed by a questionnaire; PA at diff

223 vioral health (e.g., physical activity (PA), screen time (ST)) and MH from childhood to adolescence.

224 , promote daily physical activity, and limit screen time, supported by online resources also showed a

225 Participants completed a self-reported screen time survey including an item asking children to

226 Instead of asking 'how much' screen time, the focus should be on how digital media is

227 concerns about negative effects of excessive screen time, there is little knowledge of screen behavio

228 The screen time (time in front of the screen calculated in h

229 lates were involved in the paths from infant screen time to the latent construct of attention and exe

230 Parent-reported child total screen time, TV and digital media time, and video gaming

231 Three studies suggested higher screen time usage, 2 studies reported greater social med

232 ter than the 40th percentile of recreational screen time use in the source population (>2.4 hours per

233 Mean (SD) reported screen time use was 6.5 (5.4) hours per day, and mean (S

234 edentary (television and VG) and active (MC) screen-time use.

235 min/day) or low (0-75 min/day) self-reported screen time using 16S rRNA amplicon sequencing, targeted

236 Low levels of screen-time viewing may not necessarily predict higher l

237 ysical activity recommendations, and 54% met screen-time viewing recommendations.

238 activity and no more than 2 hours per day of screen-time viewing.

239 PASTI showed reductions in parent-reported screen time (vs NI: Cohen d = -0.96; 95% CI, -1.32 to -0

240 Prepandemic mean (SD) educational screen time was 0.5 (1.2) hours per day (median [IQR], 0

241 Prepandemic mean (SD) recreational screen time was 4.0 (3.5) hours per day and increased 0.

242 Prepandemic mean (SD) total screen time was 4.4 (3.9) hours per day and increased 1.

243 el <100%), the proportion of those with high screen time was 48.7% (95% CI, 42.8%-54.6%) in 2018, 52.

244 High screen time was also predicted to be significantly assoc

245 l odds models, each additional hour of total screen time was associated with 9% to 10% lower odds of

246 n at 36 months, when an additional minute of screen time was associated with a reduction of 6.6 (95%

247 Child screen time was associated with attention problems (beta

248 Two hours or more of daily screen time was associated with lower psychological well

249 More screen time was correlated with higher total difficultie

250 Screen time was defined as hours of screen use per day o

251 age, and social determinants of health, high screen time was independently associated with the follow

252 ed with impairment of sleep, especially when screen time was interactive or involved multitasking.

253 Screen time was measured at mean (SD) age of 5.54 (2.36)

254 function of type of device use (higher when screen time was television/movies only compared with a c

255 the result presented in this manuscript, the screening time was very fast and maximum response was ob

256 urvey study, more physical activity and less screen time were associated with better mental health fo

257 effect models demonstrated that increases in screen time were associated with decreases in measures o

258 All types of screen time were associated with delayed sleep onset but

259 Increases in screen time were associated with increased consumption o

260 indicating that participants who engaged in screen time were less likely to recover during the study

261 simplistic unidimensional measure of overall screen time when evaluating the benefits and risks of sc

262 The exposure of interest was screen time, which was calculated based on manual coding

263 n and discuss both the benefits and risks of screen time with families.

264 n understanding the potential association of screen time with opportunities for children and adults t

265 iewing or other screen-based entertainment ("screen time") with all-cause mortality and clinically co

266 tal versatile discs (DVDs)/videos, and total screen time] with the 2-y changes in consumption of food