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![Page 1: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/1.jpg)
Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood
Marc A. Zimmerman
School of Public Health
University of Michigan
Stevenson Fergus
Queens University
![Page 2: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/2.jpg)
Stevenson Fergus
Jose Bauermeister
![Page 3: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/3.jpg)
Sex Risk in Adolescence
CDC report 50% African-American adolescent females with STI
Limited negotiation skills
Limited risk assessment
![Page 4: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/4.jpg)
Sex Risk in Young Adulthood
Risk behavior follows from adolescence
Sexual activity high
Rarely studied longitudinally
Many university studies
![Page 5: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/5.jpg)
Developmental Transitions
Few studies of the transition from adolescence to young adulthood
Vital Developmental TransitionNew responsibilitiesIntimacy changes More independence
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Correlates of Sex Risk
AODMixed findingsMostly cross-sectional Decreases during adult transition
Parental supportPositive resource in youths’ livesMother vs. fathers
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Research Limitations to Date
Mostly cross sectional or few waves of data
Non-diverse samples
Few include adult transitional period
Few study risk and promotive behaviors in a longitudinal design
![Page 8: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/8.jpg)
Flint Adolescent Study
8 years of data
Started in 1994
NIDA funded
Guided by Resiliency Theory
![Page 9: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/9.jpg)
Sample
Four public schools in Flint
850 9th graders (680 African-American)
50% females
GPA of 3.0 or lower in 8th grade Not diagnosed as emotionally or
developmentally disabled
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Procedure
50-60 minute face-to-face interviews
Pencil-and-paper questionnaire for
sensitive information such as substance use
Privacy in school or community setting
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Initial Findings
Sex risk accelerates during adolescence
Sex risk slows down and levels off during adult transition (but still high)
African-American youth start out riskier
White youth accelerate and pass A-A youth
(Fergus, Zimmerman, Caldwell (2007). AJPH)
![Page 12: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/12.jpg)
Initial Findings
A-A Males
White Females
![Page 13: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/13.jpg)
Analytic Strategy
HLM growth curve analysis
Condom use trajectories
Substance use (level 2)
Mother & Father Support (level 2)
Control Variables
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Dependent Variable
Frequency of condom use past year5-point scale (1 = almost never; 5=always)
55% indicated always
Recoded to dichotomous variable• 0 = no sex/always used condom• 1 = used condoms less than always
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Level 2 Predictors
Substance Use Frequency last month Alcohol use Binge drinking (5+ drinks in a row) Marijuana use
Mother & Father Support 5 items 5-point Scale (1 = not true; 5 = very true) Separate measures
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Control Variables
Father residence (wave 2)
Serious relationship (waves 5-8)
Age of sexual debut
Socioeconomic status (prestige score)
8th grade GPA (school records)
Ethnicity and sex
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Waven
Sex Without a Condom
Mean Age (SD)
1 795 25.3% 14.9 (.6)
2 772 27.1% 15.9 (.6)
3 731 34.6% 16.8 (.6)
4 732 46.9% 17.8 (.6)
5 557 63.3% 20.1 (.7)
6 620 57.3% 21.0 (.6)
7 549 63.1% 22.1 (.7)
8 536 56.0% 23.1 (.7)
Total 5292 44.6% 18.5 (2.9)
Results
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Results
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
15 16 17 18 19 20 21 22 23
Age
Pro
bab
ility
of
Sex
Wit
ho
ut
a C
on
do
mProbability of Sex Without a Condom by Age
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Results:Control Variables (level 2) Steeper risk trajectory
Lower GPAEarlier debut
Higher Odds of low condom useSerious relationship in young adulthood
No effects (level or slope)SESFather absence from household
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Results:Control Variables (level 2)
Sex DifferencesFemales less condom use at 18 yrs old
Ethnicity DifferencesSteeper slope for risk among whitesWhites less condom use at 18 years old
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Results:Independent Variables More substance use
Less condom use
More mother support More condom use at age 18 No effects on linear trend
More father support More condom use at age 18 Mean levels fastest linear growth
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ResultsSubstance Use
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
15 16 17 18 19 20 21 22 23
Age
Pro
bab
ilit
y o
f S
ex W
ith
ou
t a
Co
nd
om
Low
Medium
High
High Substance Use
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ResultsMother Support
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
15 16 17 18 19 20 21 22 23
Age
Pro
bab
ilit
y o
f S
ex W
ith
ou
t a
Co
nd
om
Low
Medium
High
No contact
Low Mother Support
No Contact
![Page 24: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/24.jpg)
Father Support
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
15 16 17 18 19 20 21 22 23
Age
Pro
bab
ilit
y o
f S
ex W
ith
ou
t a C
on
do
m
Low
Medium
High
No contact
Results
Moderate Father Support
High Father Support
![Page 25: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/25.jpg)
Discussion
Duh, AOD associated with steeper risk
Duh, parents matter
Hmmm, Medium support from father & no contact with mother greatest risk
Phew, results not explained by control variables
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Limitations
Generalizability
Romantic relationships in H.S. not assessed
Single item dependent variable
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Implications
Role of parental support for prevention
Integrate sex risk prevention in AOD programs
Focus on H.S. to limit acceleration
Prevention during adult transition
![Page 28: Trajectories of Sexual Risk Behavior in Adolescence and the Transition to Adulthood Marc A. Zimmerman School of Public Health University of Michigan Stevenson.](https://reader031.fdocuments.us/reader031/viewer/2022032709/56649edc5503460f94bed452/html5/thumbnails/28.jpg)
Future Directions
Assess STI
Assess (serial) monogamy in H.S.
Study ethnicity and gender interactions
Include multi-item sex risk index
Examine protective effects of parent support
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HIV Center