Individual differences in visual attention and self-regulation: A multimethod longitudinal study from infancy to toddlerhood

2019 ◽  
Vol 180 ◽  
pp. 104-112 ◽  
Author(s):  
Sanne B. Geeraerts ◽  
Roy S. Hessels ◽  
Stefan Van der Stigchel ◽  
Jorg Huijding ◽  
Joyce J. Endendijk ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Individual Differences ◽  
Visual Attention ◽  
Self Regulation

scholarly journals Keeping the Goal in Sight: Testing the Influence of Narrowed Visual Attention on Physical Activity

2019 ◽  
Vol 46 (3) ◽  
pp. 485-496 ◽  
Author(s):  
Emily Balcetis ◽  
Matthew T. Riccio ◽  
Dustin T. Duncan ◽  
Shana Cole
Keyword(s):  
Physical Activity ◽  
United States ◽  
Individual Differences ◽  
Visual Attention ◽  
Physical Inactivity ◽  
Self Regulation ◽  
The United States ◽  
Attention Orienting ◽  
Attentional Strategies ◽  
General Studies

Rates of physical inactivity continue to rise in the United States. With this work, we tested the efficacy of a strategy affecting the scope of visual attention designed to promote walking as a form of exercise. Specifically, we examined the influence of narrowed attention on the frequency (Studies 1a, 1b, and 3) and efficiency (Studies 2 and 4) of physical activity in general (Studies 1 and 2) and within exercise bouts measured across multiple days (Studies 3 and 4). We provide convergent evidence by investigating both individual differences in (Studies 1 and 2) and experimentally manipulated patterns of visual attention orienting (Studies 3 and 4). We discuss implications of attentional strategies for self-regulation and fitness.

Respiratory Sinus Arrhythmia During Sleep and Waking

2019 ◽  
Vol 33 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Elizabeth M. Stoakley ◽  
Karen J. Mathewson ◽  
Louis A. Schmidt ◽  
Kimberly A. Cote
Keyword(s):  
Individual Differences ◽  
Respiratory Sinus Arrhythmia ◽  
Slow Wave Sleep ◽  
Self Regulation ◽  
Nrem Sleep ◽  
Sinus Arrhythmia ◽  
Affective Style ◽  
Waking State ◽  
Optimal Period ◽  
The Stability

Abstract. Resting respiratory sinus arrhythmia (RSA) is related to individual differences in waking affective style and self-regulation. However, little is known about the stability of RSA between sleep/wake stages or the relations between RSA during sleep and waking affective style. We examined resting RSA in 25 healthy undergraduates during the waking state and one night of sleep. Stability of cardiac variables across sleep/wake states was highly reliable within participants. As predicted, greater approach behavior and lower impulsivity were associated with higher RSA; these relations were evident in early night Non-REM (NREM) sleep, particularly in slow wave sleep (SWS). The current research extends previous findings by establishing stability of RSA within individuals between wake and sleep states, and by identifying SWS as an optimal period of measurement for relations between waking affective style and RSA.

Visual disgust-elicitors produce an attentional blink independent of contextual and trait-level pathogen avoidance

2019 ◽  
Author(s):  
Paola Perone ◽  
David Vaughn Becker ◽  
Joshua M. Tybur
Keyword(s):  
Individual Differences ◽  
Visual Attention ◽  
Attentional Blink ◽  
Attentional Bias ◽  
Visual Stimuli ◽  
Attentional Biases ◽  
Attentional Processing ◽  
Trait Level ◽  
Task Irrelevant ◽  
Pathogen Avoidance

Multiple studies report that disgust-eliciting stimuli are perceived as salient and subsequently capture selective attention. In the current study, we aimed to better understand the nature of temporal attentional biases toward disgust-eliciting stimuli and to investigate the extent to which these biases are sensitive to contextual and trait-level pathogen avoidance motives. Participants (N=116) performed in an Emotional Attentional Blink (EAB) task in which task-irrelevant disgust-eliciting, fear-eliciting, or neutral images preceded a target by 200, 500, or 800 milliseconds (i.e., lag two, five and eight respectively). They did so twice - once while not exposed to an odor, and once while exposed to either an odor that elicited disgust or an odor that did not - and completed a measure of disgust sensitivity. Results indicate that disgust-eliciting visual stimuli produced a greater attentional blink than neutral visual stimuli at lag two and a greater attentional blink than fear-eliciting visual stimuli at both lag two and at lag five. Neither the odor manipulations nor individual differences measures moderated this effect. We propose that visual attention is engaged for a longer period of time following disgust-eliciting stimuli because covert processes automatically initiate the evaluation of pathogen threats. The fact that state and trait pathogen avoidance do not influence this temporal attentional bias suggests that early attentional processing of pathogen cues is initiated independent from the context in which such cues are perceived.

Information Processing vs Visual Attention during Incidental Learning

1976 ◽  
Vol 43 (2) ◽  
pp. 555-561 ◽  
Author(s):  
Richard A. Wyrick ◽  
Vincent J. Tempone ◽  
Jack Capehart
Keyword(s):  
Information Processing ◽  
Individual Differences ◽  
Visual Attention ◽  
Eye Movement ◽  
Discrimination Training ◽  
Incidental Learning ◽  
Intentional Learning ◽  
Order Information ◽  
Level Of Training ◽  
The Relationship

The relationship between attention and incidental learning during discrimination training was studied in 30 children, aged 10 to 11. A polymetric eye-movement recorder measured direct visual attention. Consistent with previous findings, recall of incidental stimuli was greatest during the initial and terminal stages of intentional learning. Contrary to previous explanations, however, visual attention to incidental stimuli was not related to training. While individual differences in attention to incidental stimuli were predictive of recall, attention to incidental stimuli was not related to level of training. Results suggested that changes in higher order information processing rather than direct visual attention were responsible for the curvilinear learning of incidental stimuli during intentional training.

scholarly journals Individual differences in working memory capacity predict visual attention allocation

2003 ◽  
Vol 10 (4) ◽  
pp. 884-889 ◽  
Author(s):  
M. Kathryn Bleckley ◽  
Francis T. Durso ◽  
Jerry M. Crutchfield ◽  
Randall W. Engle ◽  
Maya M. Khanna
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Visual Attention ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Allocation

What time do you plan to sleep tonight? An intense longitudinal study of adolescent daily sleep self-regulation via planning and its associations with sleep opportunity

2021 ◽  
Author(s):  
Svetlana Maskevich ◽  
Lin Shen ◽  
Sean Drummond ◽  
Bei Bei
Keyword(s):  
Longitudinal Study ◽  
Self Regulation ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
White Adolescents ◽  
P Values ◽  
Time In Bed ◽  
Daily Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Background: Most adolescents are sleep deprived on school days, yet how they self-regulate their sleep-wake behaviours is poorly understood. Using ecological momentary assessment, this intense longitudinal study explored patterns of adolescents’ daily bedtime and risetime planning and execution, and whether these behaviours predicted sleep opportunity.Methods: Every afternoon, for 2 school weeks and the subsequent 2 vacation weeks, 205 (54.1% female, 64.4% non-White) adolescents from Year 10-12 (M±SDage = 16.9±0.9) reported their plans for bedtime (BT) that evening, and for risetimes (RT) the following day. Actual daily sleep was measured via actigraphy and sleep diary.Results: Some adolescents never planned bedtime (school 19.5%, non-school 53.2%) or risetime (school 1.5%, non-school 24.4%). More adolescents planned consistently (≥75% of days) on schooldays (BT=29.9%, RT=61.3%) compared on non-schooldays (BT=3.5%, RT=2.5%). On average adolescents went to bed later than planned, delaying their bedtime longer on non-schooldays (71min) compared to schooldays (46min). Of those who executed their plans within ≤15 minutes, more did it consistently (≥75% of days) on schooldays (BT=40.9%, RT=67.7%) than on non-schooldays (BT=29.7%, RT=58.6%). Mixed effects models utilizing daily data, controlling for sex, race, and study day, showed that bedtime planning predicted longer time in bed (TIB; p < .01) on schooldays and shorter TIB on non-schooldays (p < .01); greater delay in actual (compared to planned) bedtime predicted shorter TIB (p-values < .001).Conclusions: Adolescents may require support during the transition from parent-controlled to autonomous sleep self-regulation. Bedtime planning on school nights and going to bed as planned are two modifiable sleep regulatory behaviours that are protective and may serve as therapeutic targets for increasing sleep opportunity in adolescents.

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