Jennifer A. Emond, MS, PhD
Title(s)
Associate Professor of Biomedical Data Science
Associate Professor of Pediatrics
Assistant Dean of Health Sciences Masters Program
Additional Titles/Positions/Affiliations
Outgoing chair (2024-2025), Evidence-Based Behavioral Medicine (EBBM) SIG of the Society for Behavioral Medicine
Senior Editorial Board Member, BMC Public Health
Department(s)
Biomedical Data Science
Pediatrics
Education
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
B.A., Epidemiology
Biology (Minor)
Bachelor’s Degree with Individual Concentration (BDIC) Program
University of Massachusetts, Amherst
Programs
C. Everett Koop Institute at Dartmouth
Hood Center for Children and Families
Quantitative Biomedical Sciences
The Dartmouth Institute for Health Policy and Clinical Practice
Curriculum Vitae
Emond_J_CV_2024-02-14.pdf
Contact Information
Office: 1-603-646-5709
Email: Jennifer.A.Emond@Dartmouth.edu
Professional Interests
Food marketing, problematic screen media use, health behavior research, accelerometery
Grant Information
Characterizing the relationships of genetic risk and parental coercive feeding practices with appetitive traits and adiposity gain across early life.
5/1/2024-2/28/2029
R01DK136698 (NIDDK)
Role: multi-PI
Goal: To disentangle the longitudinal associations between genetic obesity risk factors, parental feeding practices, child obesogenic appetitive traits and adiposity gain during the preschool years. Through repeated measurements from 2.5 through 5 years of age, this research will advance our understanding of the etiology of child obesity to guide future targeted obesity prevention efforts.
Prospective impact of media use on sleep and obesity risk in preschoolers
9/01/2018-6/30/2024 (NCE)
K01DK117971 / NIDDK
Role: PI
Goal: To assess the associations between household chaos, media use, sleep and eating behaviors in a prospective cohort of preschool-aged children.
Calibrating and validating accelerometry for use across early childhood (6-24 months)
12/30/2021-12/29/2023
R03DK131154 /NIDDK
Role: PI
Goal: To develop algorithms to classify physical activity intensity among infants and toddlers using a wearable accelerometer and IMU.
Courses Taught
Current:
QBS 119: Foundations of Applied Biostatistics
QBS 185.5 & QBS 185: Health Data Science Capstone Experience. Dartmouth's Quantitative Biomedical Sciences (Graduate).
Past:
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 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).
Mentoring Information
Dartmouth's Women in Science Program (WISP)
Quantitative Biological Sciences
Association between the Taq1A polymorphism and problematic media use in preadolescent children. The Performance of Ankle- and Waist-Based Accelerometry in Quantifying Physical Activity Intensity Among 6- to 24-Month-Year-Olds: A Semistructured Laboratory Study. Validating the Problematic Media Use Measure in Preschool-Aged Children: Associations With Children's Screen Media Use, Bothersome Pestering to Use Screen Media, and Emotional Self-Regulation. Genetic associations with neural reward responsivity to food cues in children. Genetic associations with consumption of palatable foods in the absence of hunger in response to food cues in children. A Latent Class Analysis of Family Eating Behaviors and Home Environment Habits on Preschool-Aged Children's Body Mass Index. Association of Food Desert Residence and 5-Year Mortality in Lung Cancer Patients Undergoing Resection. Association of diet with per- and polyfluoroalkyl substances in plasma and human milk in the New Hampshire Birth Cohort Study. The associations between attentional bias to food cues, parent-report appetitive traits, and concurrent adiposity among adolescents. Children's Perception of Food Marketing Across Digital Media Platforms. |
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