Jennifer Bailey

Dr. Jennifer Bailey

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 April 2014 in Journal of Adolescent Health
Verified
Journal Article
Closed access
MEMarina Epstein
Marina Epstein
JBJennifer Bailey
Jennifer Bailey
LMLisa E. Manhart
Lisa E. Manhart
KHKarl G. Hill
Karl G. Hill
JHJ. David Hawkins
J. David Hawkins
RCRichard F. Catalano
Richard F. Catalano

1 October 2016 in Journal of Adolescent Health
Verified
Journal Article
Closed access
RKRick Kosterman
Rick Kosterman
JBJennifer Bailey
Jennifer Bailey
KGKatarina Guttmannova
Katarina Guttmannova
TJTiffany M. Jones
Tiffany M. Jones
NENicole Eisenberg
Nicole Eisenberg
JHJ. David Hawkins
J. David Hawkins

1 October 2017 in Drug and Alcohol Dependence
Verified
Journal Article
Closed access
KGKatarina Guttmannova
Katarina Guttmannova
RKRick Kosterman
Rick Kosterman
HWHelene R. White
Helene R. White
JBJennifer Bailey
Jennifer Bailey
JLJungeun Olivia Lee
Jungeun Olivia Lee
JHJ. David Hawkins
J. David Hawkins

1 November 2015 in Developmental Psychology
Verified
Journal Article
Open access
MEMarina Epstein
Marina Epstein
KHKarl G. Hill
Karl G. Hill
ANAlyssa M. Nevell
Alyssa M. Nevell
KGKatarina Guttmannova
Katarina Guttmannova
JBJennifer Bailey
Jennifer Bailey
JHJ. David Hawkins
J. David Hawkins
This study sought to identify trajectories of marijuana use in the Seattle Social Development Project (n = 808) sample from age 14 through 30, and to examine the extent to which individuals in these trajectories differed in their substance use problems, mental health, problem behavior, economic outcomes, and positive functioning at age 33. In addition, analyses examined between-trajectory differences in family, peer, school, neighborhood, individual, mental health, and substance use factors at key developmental points in adolescence and adulthood. Four trajectories of marijuana use were identified: nonusers (27%), adolescent-limited (21%), late-onset (20%), and chronic (32%) users. At age 33, the chronic trajectory was associated with the worst functioning overall. The late-onset group reported more substance use and sexual risk behavior than nonusers, but was otherwise not differentiated. The adolescent-limited group reported significantly lower educational and economic outcomes at age 33 than the late-onset and nonuser groups. In analyses at earlier ages, adolescent-limited and late-onset groups reported more problems in functioning during the period of escalation in use and improvement in functioning with the beginning of desistance. Implications for prevention are discussed, particularly the unique risks associated with early adolescent versus later onset of marijuana use.

14 January 2014 in The Journal of Sex Research
Verified
Journal Article
Closed access
MEMarina Epstein
Marina Epstein
JBJennifer Bailey
Jennifer Bailey
LMLisa E. Manhart
Lisa E. Manhart
KHKarl G. Hill
Karl G. Hill
JHJ. David Hawkins
J. David Hawkins
A robust link between early sexual initiation and sexual risk-taking behavior is reported in previous studies. The relationship may not be causal, however, as the effect of common risk factors is often not considered. The current study examined whether early initiation was a key predictor of risky sexual behavior in the 20s and 30s, over and above co-occurring individual and environmental factors. Data were drawn from the Seattle Social Development Project, a longitudinal panel of 808 youth. Early predictors (ages 10 to 15) and sexual risk taking (ages 21 to 24 and 30 to 33) were assessed prospectively. Early sexual initiation (before age 15) was entered into a series of probit regressions that also included family, neighborhood, peer, and individual risk factors. Although a positive bivariate relation between early sexual initiation and sexual risk taking was observed at both ages, the link did not persist when co-occurring risk factors were included. Behavioral disinhibition and antisocial peer influences emerged as the strongest predictors of sexual risk over and above early sexual initiation. These results suggest that early sexual initiation must be considered in the context of common antecedents; public health policy aimed at delaying sexual intercourse alone is unlikely to substantially reduce sexual risk behavior in young adulthood.

9 July 2020 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
JBJennifer Bailey
Jennifer Bailey
MEMarina Epstein
Marina Epstein
JRJoseph N. Roscoe
Joseph N. Roscoe
SOSabrina Oesterle
Sabrina Oesterle
RKRick Kosterman
Rick Kosterman
KHKarl G. Hill
Karl G. Hill