ライフサイエンスコーパス: television

1 al field similar to the noise of an analogue television.

2 advertising on Spanish- and English-language television.

3 r proportion of food ads on Spanish-language television.

4 e ads (75%-85%) appeared on English-language television.

5 isks associated with prolonged time watching television.

6 ising, and less time spent alone or watching television.

7 at the table and fewer meals in front of the television.

8 eased energy intake associated with watching television.

9 llowing the telegraph, telephone, radio, and television.

10 en were asked whether they had been watching television.

11 , peer deviance, and exposure to violence on television.

12 sion viewing and meals eaten in front of the television.

13 an be measured by a computer attached to the television.

14 were detected in men watching many hours of television.

15 three-color liquid-crystal displays in large televisions.

16 rous activity (69 minutes/day), and watching television (30 minutes/day) were associated with differe

17 ergy surplus as follows: 638 +/- 408 kcal in television, 655 +/- 533 kcal in VG, and 376 +/- 487 kcal

18 being aware of CR-DTCA, most frequently from television (77.7%).

19 ter parsing it into three smaller units: the television acronyms PBS, BBC, and CNN.

20 Exposure to large numbers of television advertisements for foods and beverages with l

21 and non-Hispanic youth view large numbers of television advertisements for nutrient-poor categories o

22 Food and beverage television advertisements viewed on English- and Spanish

23 branded drugs can interact with exposure to television advertisements.

24 Cued recall of television advertising images for top beer and distilled

25 vious studies have focused on the effects of television advertising on the energy intake of children.

26 Our results show that HFSS television advertising restrictions between 05.30 hours

27 in which hard-hitting, emotionally evocative television advertising was featured, depicting smoking-r

28 marketing self-regulation has failed to keep television alcohol advertising from reaching large numbe

29 Receptivity to television alcohol advertising predicted the transition

30 Many US children watch a great deal of television and are inadequately vigorously active.

31 of electronic media use (weekday and weekend television and electronic game [e-game]/computer use) fr

32 Less time spent watching television and in other sedentary behaviors such as play

33 at 2- and 4-year follow-up, controlling for television and movie viewing, video-game playing, parent

34 Depictions of science in television and movies can affect individual health decis

35 it is difficult to open a newspaper or watch television and not find someone claiming that magnets pr

36 d their neighborhoods as unsafe watched more television and participated in less physical activity, a

37 red by accelerometry, and time spent viewing television and playing outdoors.

38 Television and radio commercials about organ donation an

39 Television and radio media campaigns and culturally sens

40 0.0001) and consumed more energy than the no television and the repeated segment groups (P = 0.007).

41 expenditure) were compared during sedentary (television and VG) and active (MC) screen-time use.

42 e MC condition than in the sedentary groups (television and VG).

43 race, parental education, physical activity, television and video viewing, total energy intake, and d

44 en East Coast children, who saw the event on television and who generally cared more about the teache

45 on, eg, father's education and presence of a television and/or radio.

46 ion, night shift work, transmeridian travel, televisions and computers have dramatically altered the

47 ibution by legacy products (cathode ray tube televisions and desktop computers), due to historically

48 that are currently used for lighting panels, televisions and mobile displays.

49 Concord, N.H. (who watched the explosion on television) and Porterville, Calif. (who heard about it

50 lived in households with finished floors, a television, and a car; 3) were born to highly educated m

51 etary fat/oil intake, time spent on watching television, and time spent engaged in moderate or vigoro

52 en ate dinner, played table games or watched television, and went to bed.

53 ceived either a novel food (French fries) or television as dishabituating stimuli.

54 ision viewing at least 4 hours/day versus no television at ages 3-5 years was associated with odds ra

55 ng tales of ancestors to watching the latest television box-set, humans are inveterate producers and

56 Time spent watching television, but not time sitting in front of a computer,

57 ents viewed on English- and Spanish-language television by product category and television-viewing ti

58 f foods that children consume while watching television, compare those types with the types consumed

59 The OR for consuming >/=500 kcal in the television compared with the MC group was 3.2 (95% CI: 1

60 pective study has assessed whether a bedroom television confers an additional risk for obesity in you

61 from 3 Nicaraguan villages that differed in television consumption and nutritional status, such that

62 Communities with higher television consumption and/or higher nutritional status

63 er female bodies than communities with lower television consumption and/or lower nutritional status.

64 Television consumption influences perceptions of attract

65 nces between our low-nutrition villages, and television consumption, after sex, was the most likely o

66 emale figure preference task, reported their television consumption, and responded to several measure

67 estimated the plausible range of effects for television consumption, nutritional status, and other re

68 while viewing popular, previously-broadcast television content for which the broad audience response

69 symptom levels; sex, the number of hours of television coverage viewed, and an index of the content

70 e particularly desirable for applications in television displays and related technologies.

71 ces, such as smart phones, computers, or the television, distract us.

72 on between the amount of time spent watching television during adolescence and early adulthood and th

73 ed seeing at least one Tips advertisement on television during the 3-month campaign.

74 ors, cathode ray tube and flat panel display televisions, DVD players, and headphones.

75 Television, DVDs, video games, the Internet, and smart p

76 Boys and girls who watch 4 or more hours of television each day had greater body fat (P<.001) and ha

77 Each hour-per-day increase in television, electronic games, and DVDs/videos was associ

78 s longitudinal relations of screen time [ie, television, electronic games, digital versatile discs (D

79 test pattern (Society of Motion Picture and Television Engineers, 512 x 512 matrix) was transmitted

80 e maximum gamut for color monitors and color television even though they do not correspond to human c

81 ulated e-mail and operated devices such as a television, even while conversing.

82 ould consider avoiding long periods of daily television exposure among preschool and school-aged chil

83 Television exposure and total media exposure in adolesce

84 consistent evidence that violent imagery in television, film and video, and computer games has subst

85 adolescents viewed, on average, 11.6 to 12.4 television food ads per day; the majority of these ads (

86 In 2007, new scheduling restrictions on television food advertising to children in the UK were a

87 Watching television for more than 3.5 hours per day is associated

88 neonatal nurse, reading materials, and radio/television) further increased the probability of supine

89 transmitted to a cubicle next door and to a television/games console in a parents' room in the ward.

90 In experiment 2, the continuous television group spent more time eating (P < 0.0001) and

91 Children spending longer periods watching television had shorter sleep duration.

92 at less food advertising on Spanish-language television, Hispanic children and adolescents viewed 14%

93 t, heated water bed, sound system, computer, television, humidifier, microwave oven, and electric sto

94 ising viewed on national broadcast and cable television in 2010 using a Nielsen panel of television-v

95 Report of having a television in the bedroom at baseline.

96 etened beverages and fast food, and having a television in the bedroom).

97 hours to 21.00 hours (5:30 AM to 9:00 PM) on television in the UK.

98 ry behavior (such as spending hours watching television) in relation to the risk of cholecystectomy,

99 st excessive use of screen media, especially television, in youth.

100 d focus on promoting breastfeeding, limiting television, increasing physical activity and reducing su

101 Television is an important source of information about C

102 Having a bedroom television is associated with weight gain beyond the eff

103 Watching television is not longitudinally associated with changes

104 of the hypothesized mechanisms through which television is thought to affect children's weight.

105 Media-based messaging (via radio and television) is now used to sensitize the public to the i

106 Sedentary activities, such as watching television, may disrupt habituation to food cues, thereb

107 ols of the fluoroscope, and the image on the television monitor.

108 Men who watched television more than 40 hours per week had a higher risk

109 Men who watched television more than 5 hours/day had an adjusted sperm c

110 st information channels, including radio and television; more recently, risk communication channels h

111 round playoff games televised by ESPN Sports Television Network (ESPN) were videotaped in October 199

112 ll 6 World Series games televised on the Fox Television Network (Fox), all 5 American League Champion

113 apers and requested transcripts from 3 major television networks to obtain all relevant news coverage

114 Can "urban-centric" local television news coverage of the COVID-19 pandemic affect

115 ferences we identify to differences in local television news coverage-self-reported differences only

116 eligible participants who responded to local television news publicizing, 49 did not appear for a sch

117 h important for showing the ability of local television news to affect behavior despite urban-rural d

118 tly from that of the foods consumed with the television off, less soda, fast food, fruit, and vegetab

119 been significant interest in the effects of television on cognition in children, but much less resea

120 fruit, and vegetables were consumed with the television on.

121 ished studies in which advertising exposure (television or Internet) was experimentally manipulated,

122 nsity image without flicker artifacts when a television or monitor updates at a sufficiently fast rat

123 surplus (P = 0.038) was lower, in MC than in television or VG groups.

124 ow, and the control groups either watched no television or watched a repeated segment of a television

125 ere studies of stationary exposures, such as televisions or desktop or personal computers, or studies

126 ctricity (69.6% versus 71.4%, p = 0.84), and television ownership (41.1% versus 38.7%, p = 0.81).

127 highest rates of watching 4 or more hours of television per day (42%).

128 6% of US children watched 4 or more hours of television per day and 67% watched at least 2 hours per

129 .24) for >or= 5 hours relative to <1 hour of television per day, independent of physical activity.

130 exual maturity, energy intake, time watching television, physical activity, mother's body mass index,

131 ries design (repeating on 2 mo, off 2 mo) on televisions placed in 6 regional DMVs.

132 ent studying, reading for pleasure, watching television, playing video games or working on the comput

133 as come from journalists affiliated with the television program 60 Minutes.

134 saved because it resembled a bug shown on a television program about insects that prey on mammals.

135 for television programs, 7 (6.7%) were cable television program advertisements, and 20 (19.2%) were b

136 The fallout of this television programme was substantial, as indicated by a

137 ommon and consisted mainly of promotions for television programs and big-screen movies.

138 the violent commercials were promotions for television programs, 7 (6.7%) were cable television prog

139 d income (R(2) = 0.032; P = 1e-22), watching television (R(2) = 0.034; P = 5e-47), and maternal educa

140 a outlets to include local and international television, radio, and print media.

141 gh 2009 using linked data from Nielsen (DTCA television ratings), the IMS Health National Prescriptio

142 erflowing with information, reaching for the television remote before us requires extraction of only

143 tly from the participant's bed linens (18%), television remote control (16%), and bathroom hand towel

144 newspaper articles (60 for each drug) and 27 television reports that appeared between 1994 and 1998.

145 novel, inexpensive magnetic measurements of television screen swabs to measure changes in PM10 conce

146 ion, generating the slit electronically on a television screen.

147 and the growing thrombus is visualized on a television screen.

148 Recreational sitting, as reflected by television/screen viewing time, is related to raised mor

149 nal frontier." This preamble to a well-known television series captures the challenge encountered not

150 Seeing the image of a newscaster on a television set causes us to think that the sound coming

151 hildhood (sleeping <12 h/d, presence of a television set in the room where the child sleeps, and a

152 One group watched a continuous television show, and the control groups either watched n

153 elevision or watched a repeated segment of a television show, which controls for the television stimu

154 participants watched a ~28-min episode of a television show.

155 Characters on 11 popular television shows exhibited more negative nonverbal behav

156 = 17) and controls (N = 20) freely watched a television situation comedy (sitcom) depicting seminatur

157 faces with ease but two different images of television static with significant difficulty.

158 of a television show, which controls for the television stimulus but requires reduced allocation of a

159 Wire service and television stories showed similar patterns.

160 bject of analysis), 49 wire service, and 257 television stories.

161 With the high prevalence of bedroom televisions, the effect attributable to this risk factor

162 ions were 5 times as likely as women without television to be aware of the pandemic (adjusted odds ra

163 two different kinds of uses: from broadcast television to wireless Internet access.

164 (95% CI: 43, 62) among men who did not watch television; total sperm counts in those 2 groups were 10

165 nclear, and the association between watching television (TV) and mortality in survivors of CRC is pre

166 jects were videotaped while watching a funny television (TV) program.

167 Findings on the association between television (TV) viewing and all-cause mortality in epide

168 Television (TV) viewing in children is associated with a

169 n paid to sedentary behavior as indicated by television (TV) watching.

170 The method is illustrated by a case study on televisions (TVs) in Vietnam.

171 Depression Scale score, those reporting more television use had significantly greater odds of develop

172 , mattress type, housekeeping frequency, and television use was also collected later in gestation.

173 .01-1.16]) for each additional hour of daily television use.

174 time by average daily hours of self-reported television, video game, or computer use.

175 The informal learning environments of television, video games, and the Internet are producing

176 ow-up, adjusting for race, height, activity, television/video time, energy intake, and other dietary

177 Reducing television, videotape, and video game use may be a promi

178 sson, 6-month classroom curriculum to reduce television, videotape, and video game use.

179 patients had 6 to 72 hours of closed-circuit television videotaping and digitized electroencephalogrp

180 dvertising among all viewers and among child television viewers, as well as adherence to the restrict

181 o-vigorous physical activity </=1 hour/week, television viewing >/=3 hours/day, and BMI >/=25) had si

182 ass index, physical activity >/= 2.5 h/week, television viewing </= 7 h/week, diet in the top 40% of

183 Participants who reported the most television viewing (>/=7 h compared with <1 h/d) were at

184 gh levels of MVPA (>7 h/wk), high amounts of television viewing (>/=7 h/d) remained associated with i

185 lity compared with those reporting the least television viewing (<1 h/d).

186 The effect of television viewing (TVV) with and without advertisements

187 Television viewing and aggressive behavior were assessed

188 al studies have found an association between television viewing and child and adolescent adiposity.

189 Compared with participants with low television viewing and high physical activity, the odds

190 ost 2 times higher for adults with both high television viewing and low physical activity in 107 of 3

191 High television viewing and low physical activity in early ad

192 significant decreases in children's reported television viewing and meals eaten in front of the telev

193 We assessed television viewing and physical activity at repeated vis

194 mine potential associations between hours of television viewing and sleep duration in children.

195 een overstimulation in infancy via excessive television viewing and subsequent deficits in cognition

196 t higher amounts of overall sitting time and television viewing are positively associated with mortal

197 ariable-adjusted logistic regression models, television viewing at least 4 hours/day versus no televi

198 elopmental pathways of physical activity and television viewing behaviors could be related.

199 This study aimed to explore whether television viewing behaviours in adults aged 50 or over

200 the fat content of the foods consumed during television viewing did not differ significantly from tha

201 Results were similar when examining television viewing duration as a continuous variable, wi

202 Parent-reported child television viewing duration measured in hours per day at

203 dinally, children with reported increases in television viewing duration over time (from <1.5 to >/=

204 Associations were similar when television viewing duration was assessed during weekends

205 Changes in television viewing duration were inversely associated wi

206 with low television viewing, those with high television viewing during 25 years (353 of 3247 [10.9%])

207 lts provide preliminary data to suggest that television viewing for more than 3.5 hours per day is re

208 Television viewing had a U-shaped relation with preterm

209 Long hours of television viewing in childhood alone and in combination

210 y energy, respectively, were consumed during television viewing in the 2 samples.

211 Television viewing is an established risk factor for obe

212 Television viewing is associated with childhood obesity.

213 Television viewing on weekdays or weekends was more cons

214 mily functioning for each additional hour of television viewing or e-game/computer use depending on t

215 could be the result of uncaptured effects of television viewing or of disrupted sleep patterns.

216 to examine the independent relationships of television viewing or other screen-based entertainment (

217 al analysis, children with longer periods of television viewing reported at baseline (>/= 1.5 hours p

218 ipation in organized sports (yes or no), and television viewing time (hours per day).

219 lowing information was collected: daughter's television viewing time and physical activity (PA) level

220 udies have addressed the association between television viewing time in childhood and overweight/obes

221 Smoking, alcohol consumption, and television viewing time were also associated with increa

222 ciated with weight gain beyond the effect of television viewing time.

223 evision viewing time/low PA level versus low television viewing time/high PA level at ages 3-5 years

224 A composite variable of high television viewing time/low PA level versus low televisi

225 as associated with decreasing an already low television viewing trajectory (P < .001).

226 le, the fat content of foods consumed during television viewing was associated with BMI.

227 A 25-year pattern of high television viewing was defined as watching TV above the

228 Spanish-language television viewing was highly concentrated among youth w

229 Television viewing was negatively associated with cognit

230 The amount of food consumed during television viewing was not associated with children's BM

231 duration and media use (ie, computer use and television viewing) have important implications for the

232 king and walking for transportation and less television viewing).

233 e of moderate-to-vigorous physical activity, television viewing, and body mass index (BMI; weight (kg

234 fitness, self-reported sports participation, television viewing, and regular play were collected for

235 ls, less frequent fast food and meals during television viewing, and shorter durations of television

236 ren's daily energy intake is consumed during television viewing, and the consumption of high-fat food

237 television viewing, and shorter durations of television viewing, gaming, and online social networking

238 Television viewing, parental stress, and hygiene practic

239 Compared with participants with low television viewing, those with high television viewing d

240 evoked naturalistically, during educational television viewing.

241 , differential non-response and stability of television viewing.

242 e amounts and types of foods consumed during television viewing.

243 more; 34 percent restricted their children's television viewing.

244 someone injured or killed, and bomb-related television viewing.

245 sports participation and daily time spent in television viewing.

246 television in 2010 using a Nielsen panel of television-viewing households of Hispanic and non-Hispan

247 Consistent with television-viewing patterns, Hispanic preschoolers saw m

248 obesity, education, poor self-rated health, television-viewing time, and having a sedentary occupati

249 -language television by product category and television-viewing times by age and language preference.

250 In multivariate analyses, having a bedroom television was associated with an excess BMI of 0.57 (95

251 Restricting children's access to television was associated with decreased MVPA.

252 and food groups and in sensitivity analyses, television was most consistently associated with dietary

253 Television was the most frequently cited source of knowl

254 Television was the source of information with the highes

255 ight gain with <6 or >8 hours of sleep), and television watching (0.31 lb per hour per day).

256 e longitudinal associations between baseline television watching (2008/2009) and cognition 6 years la

257 han sleep deprivation (Cohen's d = 0.49) and television watching (Cohen's d = 0.2).

258 a causal effect between 1.5 hour increase in television watching and CAD (OR 1.44, 95%CI 1.25-1.66, P

259 Information on sedentary behavior (television watching and computer time) and physical acti

260 Television watching and playing of video games (VGs) are

261 The associations of television watching and vigorous activity with leptin an

262 toms, it is not clear whether regular PA and television watching are associated with clinical depress

263 The average number of hours of television watching assessed in 1994 was significantly p

264 These experiments show that television watching can dishabituate eating or disrupt t

265 In experiment 1, both the novel food and the television watching groups reinstated responding for foo

266 hat increased sedentary behaviour by leisure television watching is a risk factor for CAD.

267 ments were designed to examine the effect of television watching on habituation of ingestive behavior

268 Average hours of television watching per week assessed in 1988-1994 was p

269 a gradient toward high depression risk when television watching replaced a faster walking pace (rela

270 Analyses simultaneously considering PA and television watching suggested that both contributed inde

271 ly to increase their sport participation and television watching than those who continued to work ove

272 others (odds ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05,

273 These findings and those for television watching warrant further investigation.

274 Television watching was associated with an increased typ

275 llection in 1993-1994, physical activity and television watching were assessed biennially from 1986 t

276 In conclusion, physical activity and television watching were significantly associated with s

277 with depression was found for replacement of television watching with 60 minutes/day of slow walking,

278 inks between adiposity and behaviors such as television watching, alcohol intake, and sleep deprivati

279 The 3 most prominent lifestyle factors-television watching, alcohol intake, and sleep deprivati

280 Our results suggest that television watching, alcohol intake, and sleep deprivati

281 en long-term leisure-time physical activity, television watching, and biomarkers of CVD risk among 46

282 alcohol intake, physical activity, hours of television watching, and body mass index.

283 , sex, serum cotinine level, caloric intake, television watching, and urinary creatinine level, child

284 ate (DEHP) metabolites, controlling for sex, television watching, caregiver education, caloric intake

285 temporal substitution gradient was found for television watching, in which its association with depre

286 Genome wide association analyses of leisure television watching, leisure computer use and driving be

287 independent of fat-free mass, height, race, television watching, physical activity, systolic blood p

288 ormed on PubMed to collect articles relating television watching, sleep deprivation, and alcohol cons

289 of brisk walking replaced 60 minutes/day of television watching.

290 n vigorous physical activity and by limiting television watching.

291 ring various levels of physical activity and television watching.

292 sport and exercise participation as well as television watching.

293 lling for prospectively collected prebombing television-watching habits did not change the findings.

294 Participants were asked about television-watching habits in 1992.

295 risk of depression increased with increasing television-watching time.

296 child-reported weekly physical activity and television-watching.

297 and demographic characteristics, women with televisions were 5 times as likely as women without tele

298 Bedroom televisions were reported by 59.1%of participants at bas

299 care for the index case patient and watching television with the index case patient were risk factors

300 men who spent 21 hours/week or more watching television with those who spent 0-1 hour/week was 1.13 (