Kendrin Sonneville

Dr. Kendrin Sonneville

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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2 March 2018 in International Journal of Eating Disorders
Verified
Journal Article
Closed access
PDF file
KSKendrin Sonneville
Kendrin Sonneville
SLS. K. Lipson
S. K. Lipson

1 January 2017 in Eating Behaviors
Verified
Journal Article
Closed access
SLSk Lipson
Sk Lipson
KSKendrin Sonneville
Kendrin Sonneville

11 December 2017 in JMIR Research Protocols
Verified
Journal Article
Open access
MDMelissa DeJonckheere
Melissa DeJonckheere
LNLauren P Nichols
Lauren P Nichols
MMMichelle Moniz
Michelle Moniz
KSKendrin Sonneville
Kendrin Sonneville
VVVg Vinod Vydiswaran
Vg Vinod Vydiswaran
TCTammy Chang
Tammy Chang
There has been little progress in adolescent health outcomes in recent decades. Researchers and youth-serving organizations struggle to accurately elicit youth voice and translate youth perspectives into health care policy. Our aim is to describe the protocol of the MyVoice Project, a longitudinal mixed methods study designed to engage youth, particularly those not typically included in research. Text messaging surveys are collected, analyzed, and disseminated in real time to leverage youth perspectives to impact policy. Youth aged 14 to 24 years are recruited to receive weekly text message surveys on a variety of policy and health topics. The research team, including academic researchers, methodologists, and youth, develop questions through an iterative writing and piloting process. Question topics are elicited from community organizations, researchers, and policy makers to inform salient policies. A youth-centered interactive platform has been developed that automatically sends confidential weekly surveys and incentives to participants. Parental consent is not required because the survey is of minimal risk to participants. Recruitment occurs online (eg, Facebook, Instagram, university health research website) and in person at community events. Weekly surveys collect both quantitative and qualitative data. Quantitative data are analyzed using descriptive statistics. Qualitative data are quickly analyzed using natural language processing and traditional qualitative methods. Mixed methods integration and analysis supports a more in-depth understanding of the research questions. We are currently recruiting and enrolling participants through in-person and online strategies. Question development, weekly data collection, data analysis, and dissemination are in progress. MyVoice quickly ascertains the thoughts and opinions of youth in real time using a widespread, readily available technology-text messaging. Results are disseminated to researchers, policy makers, and youth-serving organizations through a variety of methods. Policy makers and organizations also share their priority areas with the research team to develop additional question sets to inform important policy decisions. Youth-serving organizations can use results to make decisions to promote youth well-being.

25 August 2015 in International Journal of Obesity
Verified
Journal Article
Closed access
KSKendrin Sonneville
Kendrin Sonneville
ITI B Thurston
I B Thurston
CMC E Milliren
C E Milliren
RKR C Kamody
R C Kamody
HGH C Gooding
H C Gooding
TRT K Richmond
T K Richmond

1 February 2019 in Journal of Adolescent Health
Verified
Journal Article
Closed access
KGKimberly B. Glazer
Kimberly B. Glazer
KSKendrin Sonneville
Kendrin Sonneville
NMNadia Micali
Nadia Micali
SSSonja A. Swanson
Sonja A. Swanson
RCRoss Crosby
Ross Crosby
AFAlison E. Field
Alison E. Field

22 June 2015 in Psychological Medicine
Verified
Journal Article
Closed access
PDF file
KSKendrin Sonneville
Kendrin Sonneville
JCJerel Calzo
Jerel Calzo
NHN. J. Horton
N. J. Horton
AFA. E. Field
A. E. Field
RCR. D. Crosby
R. D. Crosby
NMNadia Micali
Nadia Micali
Background: Identifying childhood predictors of binge eating and understanding risk mechanisms could help improve prevention and detection efforts. The aim of this study was to examine whether features of attention-deficit/hyperactivity disorder (ADHD), as well as childhood eating disturbances, predicted binge eating later in adolescence.Method: We studied specific risk factors for the development of binge eating during mid-adolescence among 7120 males and females from the Avon Longitudinal Study of Parents and Children (ALSPAC), a cohort study of children in the UK, using data from multiple informants to develop structural equation models. Repeated assessment of eating disturbances during childhood (mid-childhood overeating, late-childhood overeating and early-adolescent strong desire for food), as well as teacher- and parent-reported hyperactivity/inattention during mid- and late childhood, were considered as possible predictors of mid-adolescent binge eating.Results: Prevalence of binge eating during mid-adolescence in our sample was 11.6%. The final model of predictors of binge eating during mid-adolescence included direct effects of late-childhood overeating [standardized estimate 0.145, 95% confidence interval (CI) 0.038–0.259,p= 0.009] and early-adolescent strong desire for food (standardized estimate 0.088, 95% CI −0.002 to 0.169,p= 0.05). Hyperactivity/inattention during late childhood indirectly predicted binge eating during mid-adolescence (standardized estimate 0.085, 95% CI 0.007–0.128,p= 0.03) via late-childhood overeating and early-adolescent strong desire for food.Conclusions: Our findings indicate that early ADHD symptoms, in addition to an overeating phenotype, contribute to risk for adolescent binge eating. These findings lend support to the potential role of hyperactivity/inattention in the development of overeating and binge eating.