Jennifer A. Emond, MS, PhD
Assistant Professor of Biomedical Data Science
Assistant Professor of Pediatrics
Biomedical Data Science
Ph.D., Public Health, Health Behavior Track
University of California San Diego/San Diego State University (Joint Doctoral Program)
M.Sc., Mathematics, Statistics Track
University of Massachusetts, Lowell
Bachelor’s Degree with Individual Concentration (BDIC) Program
University of Massachusetts, Amherst
C. Everett Koop Institute at Dartmouth
Hood Center for Children and Families
Quantitative Biomedical Sciences
The Dartmouth Institute for Health Policy and Clinical Practice
My research focuses on the development of unhealthy dietary patterns and hedonic eating behaviors during early childhood. My research has examined the effects of exposure to child-directed food marketing on young children’s immediate cued-eating behaviors using experimental designs, and the effects of child-directed food marketing exposure on shaping young children’s usual dietary intake using prospective observational designs. I have developed a novel, parent-reported scale to measure external food-cue responsiveness among preschool-age children (see Masterson et al. Appetite 2019), which enable us to better measure the development of cued eating among young children. My research team and I continue to assess the validity of that scale. My research also includes understanding how screen media use at a young age can impact overeating behaviors, for example, by disrupting sleep patterns, by reducing self-regulation, and by increasing responsiveness to food marketing. In particular, I am the recipient of a K01 mentored research scientist award (NIDDK) to examine the temporal associations between screen media use, sleep and hedonic eating behaviors in preschool-age children. I am additionally dedicated to the mentorship of undergraduate, graduate and medical students in the areas of research methodology.
K01DK117971 National Institute of Diabetes and Digestive and Kidney Disease
Prospective impact of media use on sleep and obesity risk in preschoolers
Goal: To assess the associations between household chaos, media use, sleep and eating behaviors in a prospective cohort of preschool-aged children.
BIOL 29: Biostatistics. Biology Department, Dartmouth College (Undergraduate/Graduate).
PH216: Applied Epidemiology. The Dartmouth Institute’s (TDI) at Dartmouth College online MPH program (Graduate).
QBS 185: Health Data Science Capstone Experience. Dartmouth's Quantitative Biomedical Sciences (Graduate).
QBS 270: Epidemiology Seminar. Dartmouth's Quantitative Biomedical Sciences (Graduate).
QBS 271: Epidemiology Seminar. Dartmouth's Quantitative Biomedical Sciences (Graduate).
MDED.118: Patients and Populations. Small Group Leader for weekly biostatistics review (Medical School).
Dartmouth's Women in Science Program (WISP)
Fast food intake and excess weight gain over a 1-year period among preschool-age children.
Measuring attentional bias to food cues in young children using a visual search task: An eye-tracking study.
From 'screen time' to the digital level of analysis: protocol for a scoping review of digital media use in children and adolescents.
Relationships Among Dietary Cognitive Restraint, Food Preferences, and Reaction Times.
Influence of child-targeted fast food TV advertising exposure on fast food intake: A longitudinal study of preschool-age children.
Measurement of external food cue responsiveness in preschool-age children: Preliminary evidence for the use of the external food cue responsiveness scale.
Exposure to Child-Directed TV Advertising and Preschoolers' Intake of Advertised Cereals.
Household chaos and screen media use among preschool-aged children: a cross-sectional study.
Household chaos during infancy and infant weight status at 12 months.
Maternal diet during pregnancy is related with the infant stool microbiome in a delivery mode-dependent manner.