Alison L Miller

Dr. Alison L Miller

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2013 in Child Development Perspectives
Verified
Journal Article
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MZMarc A Zimmerman
Marc A Zimmerman
SSSarah A Stoddard
Sarah A Stoddard
AEAndria B. Eisman
Andria B. Eisman
CCCleopatra H. Caldwell
Cleopatra H. Caldwell
SASophie M. Aiyer
Sophie M. Aiyer
AMAlison L Miller
Alison L Miller

1 March 2015 in Academic Pediatrics
Verified
Journal Article
Closed access
JRJenny Radesky
Jenny Radesky
AMAlison L Miller
Alison L Miller
KRKatherine L. Rosenblum
Katherine L. Rosenblum
DADanielle Appugliese
Danielle Appugliese
NKNiko Kaciroti
Niko Kaciroti
JLJulie C. Lumeng
Julie C. Lumeng

16 November 2017 in Psychology of Popular Media Culture
Verified
Journal Article
Open access
SDSarah E Domoff
Sarah E Domoff
KHKristen Harrison
Kristen Harrison
AGAshley N. Gearhardt
Ashley N. Gearhardt
DGDouglas Gentile
Douglas Gentile
JLJulie C. Lumeng
Julie C. Lumeng
AMAlison L Miller
Alison L Miller
Although problematic media use among adolescents is of wide interest, less is known regarding problematic media use among younger children. The current study reports on the development and validation of a parent-report measure of one potential aspect of children’s problematic use-screen media addiction-via the Problematic Media Use Measure (PMUM). Items were based on the nine criteria for Internet Gaming Disorder in the DSM-5. The first study describes the development and preliminary validation of the PMUM in a sample of 291 mothers. Mothers (80.8% identified as White) of children 4 through 11 years of age completed the PMUM and measures of child screen time and child psychosocial functioning. EFA indicated a unidimensional construct of screen media addiction. The final versions of the PMUM (27 items) and PMUM Short Form (PMUM-SF, 9 items) evidenced high internal consistency (Cronbach α = .97 and α = .93, respectively). Regression analyses were conducted to examine convergent validity of the PMUM with indicators of child psychosocial functioning. Convergent validity was supported and the PMUM scales also independently predicted children’s total difficulties in functioning, over and above hours of screen time, indicating incremental validity. The second study sought to confirm the factor structure of the PMUM-SF and test for measurement invariance across gender. In a sample of 632 parents, we confirmed the factor structure of the PMUM-SF and found measurement invariance for boys and girls. These studies support the use of the PMUM-SF as a measure of screen media addiction in children ages 4 through 11 years old.

1 February 2015 in Current Opinion in Endocrinology, Diabetes and Obesity
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Journal Article
Closed access
AMAlison L Miller
Alison L Miller
JLJulie C. Lumeng
Julie C. Lumeng
MLMonique K. LeBourgeois
Monique K. LeBourgeois
Purpose of review To highlight the recent findings on sleep–obesity associations in children. We focus on sleep duration, sleep timing and chronotype, and describe the potential mechanisms underlying sleep–obesity associations. Recent findings Poor sleep is increasingly common in children and associations between short sleep duration in early childhood and obesity are consistently found. Less is known about the infancy period, and the findings in adolescents are inconsistent. Sleep timing patterns may also contribute to obesity risk. Variable and shifted sleep schedules and evening chronotypes have recently been linked to adiposity in adults; less is known about children. Further, there is little understanding regarding the mechanisms of association. The timing of eating, dietary intake, obesogenic eating behaviors, and changes in appetite-regulating hormones have been identified as possible mechanisms for sleep–obesity associations and may be promising avenues for future research. Longitudinal and experimental work with children is needed to determine the nature of associations. Summary Beyond sleep duration, sleep timing patterns may contribute to obesity risk. Biological and behavioral processes have been proposed as mechanisms that may explain the association. Understanding the pathways through which poor sleep patterns could increase obesity risk in children may provide novel avenues for intervention.

11 October 2011 in Journal of Sleep Research
Verified
Journal Article
Open access
PDF file
RBRebecca H. Berger
Rebecca H. Berger
AMAlison L Miller
Alison L Miller
RSRonald Seifer
Ronald Seifer
SCStephanie R. Cares
Stephanie R. Cares
Monique LeBourgeoisMonique LeBourgeois
Monique LeBourgeois
Summary: Early childhood is a period of dramatic change in sleep and emotion processing, as well as a time when disturbance in both domains are first detected. Although sleep is recognized as central in emotion processing and psychopathology, the great majority of experimental data have been collected in adults. We examined the effects of acute sleep restriction (nap deprivation) on toddlers’ emotion expression. Ten healthy children (seven females; 30–36 months old) followed a strict sleep schedule (≥12.5 h time in bed per 24‐h) for 5 days, before each of two randomly assigned afternoon emotion assessments following Nap and No‐Nap conditions (resulting in an 11‐day protocol). Children viewed emotion‐eliciting pictures (five positive, three neutral, three negative) and completed puzzles (one solvable, one unsolvable). Children’s faces were video‐recorded, and emotion displays were coded. When sleep restricted, children displayed less confusion in response to neutral pictures, more negativity to neutral and negative pictures, and less positivity to positive pictures. Sleep restriction also resulted in a 34% reduction in positive emotion responses (solvable puzzle), as well as a 31% increase in negative emotion responses and a 39% decrease in confused responses (unsolvable puzzle). These findings suggest sleep is a key factor in how young children respond to their world. When sleep restricted, toddlers are neither able to take full advantage of positive experiences nor are they as adaptive in challenging contexts. If insufficient sleep consistently ‘taxes’ young children’s emotion responses, they may not manage emotion regulation challenges effectively, potentially placing them at risk for future emotional/behavioral problems.

1 April 2010 in Early Childhood Research Quarterly
Verified
Journal Article
Closed access
AHAnnemarie H. Hindman
Annemarie H. Hindman
LSLori E. Skibbe
Lori E. Skibbe
AMAlison L Miller
Alison L Miller
MZMarc Zimmerman
Marc Zimmerman