ライフサイエンスコーパス: self-control

1 unger) and Agency (for example, capacity for self-control).

2 g., hunger, joy) and agency (e.g., planning, self-control).

3 ssociated with violent self-harm (e.g., poor self-control).

4 psychological distance needed to facilitate self control.

5 is perceived to impede (rather than enhance) self-control.

6 ssive traits associate with poor behavioural self-control.

7 n dopaminergic activity underlying a loss of self-control.

8 ets for evaluating interventions that foster self-control.

9 One possible contributing factor is poor self-control.

10 release increases patience, the capacity for self-control.

11 ability to resist the urge to eat hinges on self-control.

12 es in neural activity during the exercise of self-control.

13 al decision-making often requires exercising self-control.

14 ry control, which is a richer model of human self-control.

15 inates the relationship between religion and self-control.

16 eferences and, by extension, impulsivity and self-control.

17 nd that the ingestion of glucose can enhance self-control.

18 nd prefrontal cortex, brain areas related to self-control.

19 in daily life, such as drug availability and self-control.

20 nxiety, depression, positive well-being, and self-control.

21 reinforcement schedule, suggesting impaired self-control.

22 offending outcomes, following a gradient of self-control.

23 erapies and public policies could facilitate self-control.

24 importance of psychostimulants in improving self-control.

25 Optimal decision-making requires self-control.

26 with goal values regardless of the amount of self-control.

27 y was instead associated with motivation and self-control.

28 to study its association with motivation and self-control.

29 found that some monkeys were able to exhibit self-control.

30 perience demonstrated the greatest levels of self-control.

31 in the operations required for this form of self-control.

32 nd problems, concurrent chain schedules, and self-control.

33 eing, Emotionality, and Sociability, but not Self-control.

34 variability in trait dominance and/or trait self-control.

35 uture (vs. present), and a stronger focus on self-control.

36 vely high in trait dominance or low in trait self-control.

37 d economic decisions are better explained by self-control.

38 ical construct deeply linked to volition and self-control.

39 ult of resolve, not an alternative method of self-control.

40 , unpredictable ones, thus requiring greater self-control.

41 ed by variation in trait dominance and trait self-control.

42 on/off-switchable biodevices with 'in-built' self-control.

43 y constitute a relatively effortless form of self-control.

44 ith an eye toward the social determinants of self-control.

45 prosociality that is driven by increases in self-control.

46 romotes cooperation may be through improving self-control.

47 ehavioral flexibility, invasion success, and self-control.

48 rol, offering evidence that religion hinders self-control.

49 n constitute a relatively effortless form of self control?

50 According to a prominent neural model of self-control [3-6], subjective reward values are represe

51 hat self-control abilities play no role, for self-control abilities do influence whether individuals

52 ion in preschool and consistently showed low self-control abilities in their twenties and thirties pe

53 However, this does not imply that self-control abilities play no role, for self-control ab

54 al control may also shape the development of self-control abilities, so contrasting the two may be a

55 readily obtainable and robust biomarker for self-control ability across environmental contexts.

56 red, noninvasive, and low-cost biomarker for self-control ability.

57 ren also shifted naturally in their level of self-control across adult life, suggesting the possibili

58 limited resource theory) exhibited improved self-control after sugar consumption.

59 As adults, children with better self-control aged more slowly in their bodies and showed

60 AND PARTICIPANTS: Retrospective cohort using self-control analysis, with chart review of significant

61 y in DLPFC increased when subjects exercised self-control and correlated with activity in vmPFC.

62 ex may support decreased impulsivity through self-control and decreased compulsivity through flexibil

63 orts to apply neuroeconomics to the study of self-control and discuss challenges for this area.

64 We begin by defining self-control and distinguishing it from related construc

65 However, both self-control and flexibility appear to involve the amygd

66 ver some potential obstacles to implementing self-control and how religion can overcome them.

67 d that higher HRV was associated with better self-control and improved predictions of choice behavior

68 rimination experiences were related to lower self-control and increased impression management emotion

69 from childhood and exhibited lower childhood self-control and lower childhood IQ than self-only harme

70 and liberals are better suited to engage in self-control and outlining the role of freewill beliefs

71 Little is known about the emergence of self-control and regulation in adolescents in low- and m

72 hich is a pivotal age for the development of self-control and regulation.

73 We address how trait self-control and trait concern for others relate to the

74 Findings of adolescent-specific changes in self-control and underlying brain circuitry are consider

75 x modulates trait motivation and deficits in self-control, and a possible underlying mechanism may en

76 ures of coping by means of escape-avoidance, self-control, and active problem solving; and had greate

77 its co-option of pathways regulating reward, self-control, and affect.

78 uch as compulsive drug consumption, impaired self-control, and behavioural inflexibility, reflect und

79 and concepts such as behavioral inhibition, self-control, and emotional regulation.

80 impaired learning, behavioral inhibition and self-control, and in concert with recent reports, provid

81 entiousness-reflecting low persistence, poor self-control, and lack of long-term planning-was associa

82 particularly in regions regulating emotion, self-control, and top-down processing in a community sam

83 ve, which could contribute to impairments in self-control; and 3) the lateral prefrontal cortex modul

84 privation impulsive animals will out-compete self-controlled animals.

85 From ages 17 to 20 y, we assessed SES and self-control annually, along with depressive symptoms, s

86 ife strategy, future orientation, and strong self-control are important determinants of inhibiting ag

87 ree studies reveals a critical difference in self-control as a function of political ideology.

88 omplex self-folding machines and autonomous, self-controlled assembly.

89 Intelligent behaviour requires self-control based on the consequences of actions.

90 Tool use may relate to self-control because both behaviors may require foresigh

91 During this self-controlled behavior, amygdala neurons showed future

92 gical adaptability that putatively underlies self-controlled behavior.

93 eral prefrontal cortex (dlPFC) in successful self-control, but due to the limitations inherent in BOL

94 hat the neural mechanisms used in successful self-control can be activated by exogenous attention cue

95 gest that brief meditation training improves self-control capacity and reduces smoking.

96 These observations were confirmed in the self-controlled case series (IRR, 1.62; 95% CI, 1.01-2.5

97 We used a self-controlled case series (SCCS) design to evaluate th

98 A matched cohort study design and a self-controlled case series (SCCS) design were used.

99 The self-controlled case series (SCCS) method is often used

100 We nested a self-controlled case series (SCCS) of patients who have

101 followed up through December 31, 2009; and a self-controlled case series (SCCS) study based on childr

102 accination, using triangulation from cohort, self-controlled case series (SCCS), and population time

103 nality analysis; (2) case-control study; (3) self-controlled case series (SCCS).

104 Associations were examined in cohort and self-controlled case series analysis using Cox proportio

105 We conducted a self-controlled case series analysis using data from the

106 Additionally, a self-controlled case series analysis was conducted to ch

107 Self-controlled case series analysis was used to investi

108 In self-controlled case series analysis, the risk of advers

109 and hospitalization data sets and performing self-controlled case series analysis.

110 Self-controlled case series and case-control methods wer

111 The methods use the self-controlled case series approach, extended in severa

112 A nested self-controlled case series compared the risk of TB in t

113 s undertaken by using the case-crossover and self-controlled case series design to analyze the Taiwan

114 We applied the self-controlled case series design to control for time-i

115 ween-person comparisons and the second was a self-controlled case series design using within-person c

116 A self-controlled case series design was used to control f

117 A population-based self-controlled case series design was used with individ

118 and 298,757 IS patients were included in the self-controlled case series design.

119 of 53 (36%) of drug-outcome pairs that use a self-controlled case series design.

120 We adopted a self-controlled case series design.

121 by using administrative health databases and self-controlled case series designs that are based on ca

122 DESIGN, SETTING, AND PARTICIPANTS: Self-controlled case series including 11 001 Medicare be

123 cohort risk interval method, and a modified self-controlled case series method for each outcome of i

124 The authors used the self-controlled case series method to investigate the re

125 The self-controlled case series method was used to estimate

126 he self-controlled risk interval design, the self-controlled case series method, and the case-crossov

127 Using the self-controlled case series method, we calculated the in

128 We used self-controlled case series methods to look for increase

129 Self-controlled case series methods were used to quantif

130 o estimate vaccine effectiveness (VE), and a self-controlled case series of vaccine recipients was in

131 ciaries, we conducted a set of bidirectional self-controlled case series studies-one for each antihyp

132 DESIGN, SETTING, AND PARTICIPANTS: A self-controlled case series study design was used.

133 Using the self-controlled case series study design, they examined

134 We performed a self-controlled case series study of 2261 obese patients

135 We performed a self-controlled case series study of obese patients with

136 A self-controlled case series study of people ages 13 year

137 A longitudinal cohort study and self-controlled case series were conducted.

138 idely used study designs (cohort studies and self-controlled case series) across 10 observational dat

139 ormed among 62 574 patients with gout, and a self-controlled case series, adjusted for season and age

140 17%) for cohort studies and 5 of 53 (9%) for self-controlled case series.

141 ncidence rate ratios were estimated from the self-controlled case series.

142 cidence rate ratios (IRRs) with 95% CIs in a self-controlled case series.

143 have performed a case-control analysis and a self-controlled case-series analysis using 1987-1999 dia

144 fter vaccination was evaluated by means of a self-controlled case-series analysis.

145 e 28 to 365 days of age were included in the self-controlled case-series analysis.

146 larly, no increased risk was found using the self-controlled case-series design (multiple sclerosis:

147 A secondary analysis used a self-controlled case-series design including only cases.

148 person comparisons were undertaken using the self-controlled case-series method and data from the UK

149 We used the self-controlled case-series method to study the risk of

150 ta, using both case-coverage and the planned self-controlled case-series method, focusing on the 0-42

151 Using the self-controlled case-series method, relative risk estima

152 Using the self-controlled case-series method, we estimated age-adj

153 ere calculated using a Poisson model and the self-controlled case-series method.

154 A self-controlled case-series study was conducted using li

155 -crossover design, case-time-control design, self-controlled case-series, and sequence symmetry analy

156 epresentations when presented with a dietary self-control challenge.

157 l representation of taste temptations during self-control challenges.

158 dial prefrontal cortex (vmPFC) implicated in self-control choices would also underlie the more genera

159 a tendency to regulate their diet, and in a self-control condition, in which they were given a finan

160 ively, these findings offer insight into the self-control consequences of political ideology by detai

161 Effects of children's self-control could be disentangled from their intelligen

162 Associations with children's self-control could be separated from their social class

163 esent fundamentally different conceptions of self-control, current methods are inadequate for investi

164 n intertemporal choice depends on the actual self-control demands of the task.

165 right pars opercularis, and that successful self-control depends on integrity of this substrate.

166 Most recently, a case control and self-control design study have identified an association

167 ue methodological issues arise when applying self-controlled designs (i.e., using within-person compa

168 ational studies with cohort, case control or self-controlled designs, or randomised controlled trials

169 Dual harmers have self-control difficulties and are immersed in violence f

170 ior that looks phenotypically like excessive self-control does not correspond with enhanced prefronta

171 d, we show that mOFC damage indeed decreases self-control during intertemporal choice, replicating pr

172 clinical conditions are associated with poor self-control during such intertemporal choices, such tha

173 When self-control fails to develop, violence, injury and neur

174 hout invoking free will, self-regulatory, or self-control failures.

175 rative binding and detachment of T7RNAP in a self-controlled fashion.

176 s model offers a better proximate account of self-control fatigue.

177 e depletion effect, a decreased capacity for self-control following previous acts of self-control, is

178 a greater degree of self-control" for which we cannot find empirical support

179 Self-control forecasted lower rates of depressive sympto

180 trategic mindset from general self-efficacy, self-control, grit, and growth mindsets and showed that

181 odel (cTAM) to understand self-assembled and self-controlled growth as an emergent phenomenon that is

182 odel (cTAM) to understand self-assembled and self-controlled growth as emergent phenomena that are ca

183 However, among low-SES youth, self-control had divergent associations with these outco

184 of 500 sibling-pairs, the sibling with lower self-control had poorer outcomes, despite shared family

185 Self-awareness and self-control have been attributed to these regions.

186 earch, we demonstrate the ability to enhance self-control (i.e., forgoing smaller immediate rewards i

187 osure time trends when using outcome-indexed self-controlled (i.e., case-crossover) designs for activ

188 ose two hypotheses about the neurobiology of self-control: (i) Goal-directed decisions have their bas

189 Several theories of self-control imply that intertemporal decisions can be m

190 Yet, is self-control important for the health, wealth, and publi

191 In this review, we examine the role of self-control in academic achievement.

192 sses related to extraordinary inhibition and self-control in AN and diminished inhibitory self-contro

193 self-control in AN and diminished inhibitory self-control in BN that may influence the rewarding aspe

194 fronto-striatal brain systems implicated in self-control in both stimulant-dependent individuals and

195 Higher levels of self-control in decision making have been linked to bett

196 These findings suggest that self-control in different psychological domains involves

197 foundation for the CLimate, Aggression, and Self-control in Humans (CLASH) model of aggression.

198 ropose a new model, CLimate, Aggression, and Self-control in Humans (CLASH), that helps us to underst

199 heoretical model of CLimate, Aggression, and Self-control in Humans (CLASH).

200 HRV would be associated with better dietary self-control in humans.

201 an predict individual differences in dietary self-control in humans.

202 trogen may influence the risk of obesity and self-control in men and women.

203 Thus, a seeming failure of self-control in reactive violence could be caused not by

204 Successful self-control in this model is then thought to depend on

205 that tool experience can influence levels of self-control in this task.

206 Our findings support a hierarchical model of self-control in which LFPC orchestrates precommitment by

207 efrontal cortex (vmPFC), and (ii) exercising self-control involves the modulation of this value signa

208 Self-control is a necessary component of subjective effo

209 SIGNIFICANCE STATEMENT: Self-control is associated with better health, but behav

210 Self-control is defined as forgoing immediate gratificat

211 The ability to exert self-control is key to social insertion and professional

212 e association between political ideology and self-control is mediated by differences in the extent to

213 for self-control following previous acts of self-control, is thought to result from a lack of necess

214 The countermanding task is designed to study self-control; it requires subjects to withhold planned m

215 Poor self-control, lack of inhibition, and impulsivity contri

216 to improve decision-making in domains where self-control lapses are pervasive.

217 supports the premise that this component of self-control lies on a continuum in which both extremes

218 merging data suggest that for low-SES youth, self-control may act as a "double-edged sword," facilita

219 adult life, suggesting the possibility that self-control may be a malleable target for intervention.

220 udies have suggested that different kinds of self-control may share a common psychobiological compone

221 Self-control may thus be a capacity we share with our no

222 tter health, but behavioral and psychometric self-control measures allow only indirect associations w

223 for a neural lateral-prefrontal cortex-based self-control mechanism in intertemporal choice.

224 made in generating protocell constructs with self-controlled membrane permeability.

225 l meal size averages and standard deviations self-controlled "mice" out-competed impulsive "mice" and

226 ss origins and intelligence, indicating that self-control might be an active ingredient in healthy ag

227 Interventions addressing self-control might reduce a panoply of societal costs, s

228 ng a dual-process framework: Is deliberative self-control necessary to reign in selfish impulses, or

229 The self-control needed to stick with any kind of aversive e

230 public view that treats it as a disorder of self-control, not a disease.

231 onal magnetic resonance imaging, we compared self-controlled noxious stimuli with physically identica

232 anized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3)

233 Self-control of modular structure allows trees to sustai

234 lenge the link between religion and improved self-control, offering evidence that religion hinders se

235 The design is an example of "self-control." One compares case-time intervals that inc

236 tion of drug consumption is mostly driven by self-control or unwanted effects (i.e., sedation for alc

237 hildhood socioeconomic status, low childhood self-control, or family history of substance dependence.

238 , behaving cooperatively only through active self-control; or whether they are intuitively cooperativ

239 Altruism (over social space) corresponds to self-control (over time).

240 lth (p < 0.0001), vitality (p < 0.0001), and self-control (p = 0.001) and with higher depression (p =

241 f prepotent action is an important aspect of self-control, particularly in social contexts.

242 from glucose--they exhibited high levels of self-control performance with or without sugar boosts.

243 ng them dependent on glucose boosts for high self-control performance.

244 ucational attainment, cognitive ability, and self-control-predicted both credit scores and cardiovasc

245 h to the age of 32 y, we show that childhood self-control predicts physical health, substance depende

246 Among high-SES youth, better mid-adolescent self-control presaged favorable psychological and methyl

247 rest, short-term impulses to cheat present a self-control problem.

248 his discrepancy may mark the contribution of self-control processes that are recruited during decisio

249 We accomplish this hardware embedded self-control programming using normally closed membrane

250 Self-control refers to the alignment of thoughts, feelin

251 in psychology has developed the theory that self-control relies on a limited common resource, so tha

252 ut the mechanisms through which it modulates self-control remain unclear.

253 Self-control requires energy, part of which is provided

254 ore EFs are inhibition [response inhibition (self-control--resisting temptations and resisting acting

255 etion theorists suggest religion replenishes self-control resources ("strength"), we submit that reli

256 , AND PARTICIPANTS: This cohort study used a self-controlled risk interval (SCRI) design to compare t

257 ed cases with adjudicated symptom onset in a self-controlled risk interval (SCRI) design, which contr

258 Self-controlled risk interval analyses estimated GBS ris

259 In a self-controlled risk interval analysis comparing GBS ons

260 The self-controlled risk interval analysis of chart-confirme

261 A self-controlled risk interval analysis was used to calcu

262 nterval design, the case-control design, the self-controlled risk interval design, the self-controlle

263 Complementary designs (self-controlled risk interval, case-centered, and curren

264 The primary analysis used a self-controlled risk-interval design that included only

265 We used a self-controlled risk-interval design.

266 s for part of the year demands foresight and self-control skills.

267 tible with the idea that mOFC damage affects self-control specifically under conditions that might no

268 Self-controlled stimulation was accompanied by less pain

269 Luckily, humans can deploy alternative self-control strategies like precommitment, the voluntar

270 Although self-controlled study designs address time-invariant con

271 functional magnetic resonance imaging, trait self-control, substance use, and substance-related probl

272 quires flexible integration of valuation and self-control systems.

273 ot-B test to assess object permanence; and a self-control task.

274 actions) and promoting long-term strategies (self-control techniques and cooperative interactions).

275 he IYCF intervention on the CDI, A-not-B, or self-control tests.

276 were not different for the MDAT, A-not-B, or self-control tests; mean CDI score was not different in

277 l stimulus, thus providing a richer model of self-control than classic cognitive psychology paradigms

278 lth statistics are in part due to diminished self-control--the ability to inhibit inappropriate desir

279 ymptomatology, functioning, and a measure of self-control: the capacity to delay reward.

280 st the hypothesis that dlPFC affects dietary self-control through two different mechanisms: attention

281 then turn to longitudinal evidence relating self-control to academic attainment, course grades, and

282 of this network during choices that require self-control to adjudicate between competing outcome pre

283 gy, greater focus on the future, and greater self-control to be highly correlated and perhaps unifact

284 We use the process model of self-control to illustrate how impulses are generated an

285 re considering large-scale programs aimed at self-control to improve citizens' health and wealth and

286 gue that a dual-motives conceptualization of self-control, together with insights from the psychology

287 The self-controlled tree-temporal scan statistic allows dete

288 suggesting that Treg cells are a factor for self-controlling Treg cell proliferation.

289 Based on research indicating that low self-control underlies some of these disparities, policy

290 g the question of which model best describes self-control unresolved.

291 Beginning with general theories of self-control, we review psychological factors that have

292 unctional in pathological gambling with poor self-control, we studied gamblers with and without previ

293 e control functions such as "inhibition" or "self-control." We suggest a unifying role for models of

294 if such inconsistency results from temporary self-control weakness.

295 Measures of trait motivation and self-control were assessed with the Multidimensional Per

296 of escape-avoidance, and coping by means of self-control were associated with a greater likelihood o

297 ssociative and reversal learning, as well as self-control, were not related to problem-solving, innov

298 emporal discounting (suggestive of excessive self-control), whereas prior studies have shown that ind

299 We conclude that reframing can promote self-control while avoiding the need for additional will

300 ion of the individual variability in dietary self-control, with individuals having higher HRV being b