Psychosocial factors associated with reports of physical dating violence among U.S. adolescent females.
Howard, Donna E. ; Wang, Min Qi ; Yan, Fang 等
INTRODUCTION
Increasingly, over the past fifteen years, dating violence among
adolescents has emerged as a growing public health concern. While the
first article on late teen courtship violence appeared in 1981
(Makepeace, 1981), a current search of the PubMed database, using the
key terms "adolescent dating violence," identified 110
articles published since 2000; this is more than a three-fold increase
in the number published during the preceding 7-year period. Furthermore,
dating violence has been incorporated in Healthy People 2000 and 2010,
the blueprints for national decennial public health initiatives (U.S.
Department of Health and Human Services, 2000a, 2000b). Finally, dating
violence prevalence trends are now regularly monitored through the
Center for Disease Control's Behavioral Risk Factor Surveillance
System, specifically the Youth Risk Behavior Study (YRBS) (YRBSS).
National trends in the prevalence estimates of physical dating
violence victimization over the previous 12-month period among high
school youth indicates its relative stability; prevalence rates in 2005,
2003 and 1999 were 9.2%, 8.9%, and 9.1%, respectively (MMWR, 2006a MMWR
2006b; Howard & Wang, 2003a, Howard & Wang, 2003b). In other
words, on an annual basis, dating violence takes its toll on a
substantial number of youth. Moreover, victimization appears
undifferentiated by gender and is associated with risk behaviors for
both male and female high school students (MMWR, 2006b; Cercone, Beach,
& Arias, 2005; Gray & Foshee, 1997). Based on 1999 national YRBS
data, a risk profile of youth who reported past year physical dating
violence victimization was identified. Overall, being a victim of dating
violence was associated with reports of sad/hopeless feelings and
engagement in high-risk sexual practices, specifically, recent multiple
sex partners and unprotected sex. Gender differences in this risk
profile emerged as well. Among males, attempted suicide and fighting
behavior were correlated with victimization, while among females, binge
drinking and cocaine or inhalant use were predictors (Howard & Wang,
2003a; Howard & Wang, 2003b). The co-occurrence of dating violence
victimization with emotional well-being and engagement in other risk
behaviors has been substantiated by a host of studies across geographic
locales and diverse samples of youth (Roberts, Auinger, & Klein,
2005; Silverman, Raj, & Clements, 2004; Ackard &
Neumark-Sztainer, 2002; Foshee, Benefield, Ennett, Bauman, &
Suchindran, 2004; Foshee, Linder, MacDougall, & Bangdiwala, 2001).
While prevalence rates for dating violence victimization by gender
are quite similar during adolescence, the adult literature suggests that
Intimate Partner Violence (IPV) is largely a gender-specific issue with
victimization rates for females ranging from three to six times those
for males (Silverman, Raj, & Clements, 2004; Tjaden & Thoennes,
2000). Even during adolescence, females are more likely to suffer injury
(Cercone, Beach, & Arias, 2005; Halpern, Oslak, Young, Martin, &
Kupper, 2001; Foshee, 1996; Lane & Gwartney-Gibbs, 1985).
Furthermore, adolescent females are more vulnerable to violent sexual
abuse from dating partners than males (Foster, Hagan, & Brooks-Gunn,
2004). For these reasons, the focus here is on adolescent females.
The present study aims to update prevalence estimates and examine
the robustness of the risk profile of dating violence among adolescent
females based upon the most current and representative data from the
national 2005 YRBS of U.S. high school students.
METHOD
Sample
The 2005 national school-based Youth Risk Behavior Survey (YRBS)
data were used for this study. This survey is one component of the Youth
Risk Behavior Surveillance System (YRBSS) that was established by the
Centers for Disease Control and Prevention (CDC) to monitor the
prevalence of youth behaviors that most influence health. Comprehensive
design and sampling procedures are available from the CDC's
Morbidity and Mortality Weekly Report series, and are excerpted here in
condensed form (MMWR, 2006a). The YRBS survey used a three-stage cluster
sample design to produce a nationally representative sample of high
school students in grades 9-12. The first stage contained 1,270 primary
sampling units (PSUs), which consisted of large counties or groups of
smaller, adjacent counties. From these, 52 were selected from 16 strata,
formed on the basis of the degree of urbanization and the relative
percentage of African-American and Hispanic students in the PSU. Each
PSU was selected with probability proportional to the size of the school
enrollment. The second sampling stage selected 203 schools, also with
probability proportional to school enrollment size. The third stage
randomly selected one or two intact classes of a required subject (e.g.,
English or social studies) from the entire 9th-12th grades at the chosen
school. All students in the selected classes were eligible participants.
A total of 159 schools with 15,349 students completed survey
questionnaires. The school response rate was 78%, and the student
response rate was 86%, resulting in an overall response rate of 67%. For
the purpose of this study, only female participants (N = 7,179) were
selected for the analysis.
A weighting factor was applied to each participant to adjust for
non-response and for the varying probabilities of selection, including
those resulting from the over-sampling of African-American and Hispanic
students. The weights were scaled so that (a) the weighted count of
students was equal to the total sample size, and (b) the weighted
proportions of students in each grade matched national population
proportions.
Survey Procedures and Measures
Surveys were administered anonymously in order to protect the
participants' privacy; participation was voluntary. Parental
permission was obtained before survey administration. Students completed
the self-administered questionnaire in their classrooms during a regular
class period and recorded their responses on a scannable answer sheet.
The survey focused on priority health-risk behaviors that resulted
in the most significant mortality, morbidity, disability, and social
problems during both adolescence and adulthood. Monitoring progress in
these areas was relevant in assessing how the national health objectives
for the year 2010 were achieved. Results were also to be used to help
focus programs and policies for comprehensive school health education on
those behaviors that contribute most to the leading causes of mortality
and morbidity.
The dependent variable was physical dating violence, which was
measured by the question: "During the past 12 months, did your
boyfriend or girlfriend ever hit, slap, or physically hurt you on
purpose?" The response categories for this variable were yes or no.
The independent variables included four dimensions: violence,
suicide, substance use, and sexual risk behavior. Violence-related
behavior encompassed two questions: (1) "During the past 30 days,
on how many days did you carry a gun?" The response categories were
coded as 0 days or 1 or more days. (2) "During the past 12 months,
how many times were you in a physical fight?" The response
categories were coded as 0 times, 1 time, or 2 or more times. Suicide
consisted of two questions: (1) "During the past 12 months, did you
ever seriously consider attempting suicide?" (2) During the past 12
months, how many times did you actually attempt suicide?" The
response categories for both variables were yes or no. One additional
question examined sad or hopeless feelings: "During the past 12
months, did you ever feel so sad or hopeless almost every day for two
weeks or more in a row that you stopped doing some usual
activities?" The response categories were yes or no.
Substance use behavior consisted of four questions: (1)
"During the past 30 days, on the days you smoked, how many
cigarettes did you smoke per day?" The response categories were
coded as 0, 1 or fewer cigarettes, or 2 or more cigarettes per day. (2)
"During the past 30 days, on how many days did you have at least
one drink of alcohol?" The response categories were coded as 0, 1-5
days, or 6 or more days. (3) "During the past 30 days, on how many
days did you have five or more drinks of alcohol in a row, that is,
within a couple of hours?" The response categories were coded as 0
days, 1-5 days, or 6 or more days.
(4) "During the past 30 days, how many times did you use any
form of cocaine, including powder, crack, or freebase, or sniff glue, or
breathe the contents of aerosol spray cans, or inhale any paints or
sprays to get high?" The response categories were coded as 0 or 1
or more times.
Sexual risk behavior consisted of three questions: (1) "During
the past three months, with how many people did you have sexual
intercourse?" The response categories were coded as never had
sexual intercourse, none during past three months, 1 person or 2 or more
people. (2) "Did you drink alcohol or use drugs before you had
sexual intercourse the last time?" The response categories were
coded as never had sexual intercourse, yes or no. (3) "The last
time you had sexual intercourse, did you or your partner use a
condom?" The response categories were coded as never had sexual
intercourse, yes or no.
In addition, the demographic variables grade and ethnicity were
included. Some of the above-mentioned variables were recoded, as
necessary, based on the frequencies in response categories and the
appropriateness for statistical analysis.
Data Analysis
All statistical analyses were performed using the Statistical
Analysis System (SAS, V9.1, 2004) survey procedures. The survey
procedures can account for a multistage sampling option by including the
design factors (i.e., the stratum and PSU levels) in the analytical
model. The data were first analyzed using univariate logistic models between the dependent variable (physical dating violence) and each
independent variable (substance use, suicide, physical fights, and
sexual risk behaviors) to examine their relationship. The unadjusted
odds ratios (OR) and 95% confidence intervals (CI) as well as [X.sup.2]
tests were examined. To identify the most significant variables in
relation to physical dating violence, multivariate logistic regression was used to include all significant independent variables from the
bivariate analyses. Adjusted OR and 95% CI were examined to assess the
significance of the relationships.
RESULTS
In terms of prevalence, 10.3% of female adolescents reported
experiencing physical dating violence. As indicated in Table 1
prevalence estimates increased with grade and varied by ethnicity.
Bivariate Relationships between Physical Dating Violence and Risk
Factors
The unadjusted odds ratios for the relationships among personal,
psychological, and behavioral factors and physical dating violence
reveal a picture of risk that is quite striking (see Table 1).
Adolescent girls who reported having been hit, slapped or physically
hurt on purpose by a boyfriend or girlfriend over the past year were
more likely to also report emotional distress, violence-related
behaviors, substance use, and engagement in sexually risky behavior.
Furthermore, compared to 9th graders, 10th and 12th graders were
significantly more likely to have been victimized. Compared to White
youth, Black females were approximately 50% more likely to report dating
violence.
Multivariate Relationships between Physical Dating Violence and
Risk Factors
To detect the most significant risk factors associated with
physical dating violence, multivariate logistic regression analysis,
which included all significant variables from the bivariate analyses,
were conducted (see Table 2). The odds of being a victim of physical
dating violence were greater for Black females, as well as girls who had
sad or hopeless feelings, had considered suicide, engaged in physical
fighting, had been sexually active (1 or more sexual partners) in the
most recent period or had unprotected sexual intercourse.
DISCUSSION
These findings provide the most current and comprehensive
assessment of physical dating violence against U.S. adolescent girls.
The risk profile presented offers vital information for intervention and
prevention efforts.
First, dating violence against adolescent girls was widespread.
Approximately one in ten 9th- through 12th-grade female adolescents who
participated in the 2005 Youth Risk Behavior Survey reported being a
victim of physical dating violence within the past year. That is, a
boyfriend or girlfriend had hit, slapped or physically hurt them on
purpose.
Second, no systematic pattern emerged by grade level for physical
dating violence. Indeed, such findings make clear that prevention and
intervention efforts should be initiated early, preferably before
entrance to high school.
Third, the prevalence of physical dating violence was lowest for
White girls, compared to females of other ethnicity. Compared to their
White peers, Black girls were approximately 1.5 times as likely to
report physical dating violence. Clearly, more needs to be learned about
the relationship between ethnicity and physical dating violence. Not
withstanding, these findings suggest the need for culturally sensitive
preventions, as has been emphasized elsewhere in the area of the
risk-behavior prevention and intervention (Freudenberg & Zimmerman,
1995).
Fourth, from the bivariate analyses, it was evident that engagement
in a host of risk behaviors and emotional vulnerability were associated
with reports of physical dating violence. Emotionally, experiencing sad
or hopeless feelings or having considered or attempted suicide were
linked to accounts of dating violence. The odds were increased that a
female would have experienced physical dating violence if she reported
other violence involvement, including fighting or gun carrying, use of a
variety of substances such as tobacco, alcohol, cocaine or inhalants,
and engagement in risky sexual behavior (unprotected sexual intercourse,
multiple recent sexual partners). The co-occurrence of these factors
supports the notion of an at-risk profile for adolescent girls, and
reinforces the concept of problem behavior, in that adolescents who
engage in one risk behavior are likely to be involved in other risk
behaviors as well (Jessor, 1982, 1991; Dryfoos, 1990; Diclemente,
Hansen, & Ponton, 1996; Resnick, Bearman, Blum, Bauman, Harris,
Jones, Tabor, Beuhring, Sieving, Shew, Ireland, Bearinger, & Udry,
1997).
Finally, once multivariate analyses were adjusted for the effects
of all significant risk factors, the risk profile of adolescent girls
who reported physical dating violence became more distinct. Emotional
distress, multiple physical fighting episodes, recent sexual
intercourse, and unprotected sex were salient, significant predictors.
Consistent with previous studies, these girls were significantly
more likely to have sad or hopeless feelings and have considered
suicide. Regarding the associations with emotional well-being, it must
be noted that the lack of temporal clarity precludes understanding of
antecedents and consequences. It is possible that dating violence
precipitates these feelings; alternatively, adolescent girls who
experience strong feelings of sadness or hopelessness may seek out or
passively find themselves in dating situations where they may be
disrespected and/ or abused (Blum, Gallagher, Resnick, & Tolman,
1999).
The profile of females who reported dating violence suggests a
relationship with other forms of violence. That is, girls who had
engaged in fighting were significantly more likely to report
victimization. This may suggest a generalized tendency toward violence
in interpersonal relations, or perhaps a lower threshold for
precipitation of violence. Without examination of contextual or
developmental factors, it is difficult to determine the origins or
temporal relations of these findings.
While previous analyses, based on the national 1999 YRBS survey,
suggested that risky sexual behavior, specifically, multiple sexual
partners and lack of condom use, were important risk factors for dating
violence, in the present study these findings were only partially
replicated. Indeed, sexual intercourse, whether it involved one or more
partners over the most recent 3-month period, was significantly
associated with dating violence. Additionally engaging in unprotected
sex was associated with having been a victim of dating violence. Unlike
the profile of risk which emerged from the 1999 YRBS which suggested
that adolescent girls who used substances, used them excessively, or
used them before sexual intercourse, were more likely to report violence
in their dating relationships, there was no relationship between
substance use and physical dating violence. This runs counter to extant
research which suggests that courtship violence increases with
consumption of alcohol by either the victim or perpetrator (Muehlenhard
& Linton, 1987; Makepeace, 1988). Issues of multicollinarity, that
is, the highly correlated nature of the independent variables, may
account for this lack of significance in the multivariate analysis.
Nevertheless, these findings underscore the need for programs that focus
on healthy dating relationships and dating violence. Development of
tailored interventions for adolescent girls who are at risk for physical
dating violence may decrease the potential for victimization and enhance
the prospects for respectful intimate partner relations as these young
women mature into adulthood.
Limitations
As noted, the cross-sectional nature of the study design does
afford an opportunity to examine prevalence and correlates of dating
violence but it precludes examination of temporal relationships. The
operational definition of dating violence is narrowly framed in its
physical terms, having been hit, slapped, physically hurt on purpose,
while our understanding of dating violence suggests that a more
dimensional and complex characterization is needed. In addition,
measurement of dating violence by single-item self-report questions is
subject to a host of biases. First, reports of dating behavior as
constituting intent of harm are subjective. Second, use of unitary
variables to capture dynamic social phenomena may be less valid than a
multiple-item questionnaire. Furthermore, while data suggests teen
victims of dating violence are as likely to be the perpetrators, the
study did not afford the opportunity to examine the profile of
perpetrators of dating violence; nor does it provide insight into
whether these experiences occur equally in same-gender and heterosexual
adolescent dating relationships. While sampling for the national YRBS
aimed to provide the most representative data, those students who, for a
variety of reasons, were not present on the day of the survey
administration may be different from attendees, limiting the external
generalizability of the findings.
Based on the above noted limitations, one might question the
utility of continuing to ask unitary and uni-dimensional questions on
dating violence when much is left unanswered. The ability to track and
monitor changes over time in the risk profile of adolescents does
provide vital surveillance and highlights further lines of inquiry. The
function of such ongoing observational data gathering is critical to
current and future planning efforts of public health and medical care
providers. Findings can assist in the development of programs and
policies for comprehensive adolescent health education by focusing on
behaviors that contribute to the mortality and morbidity.
Future Directions for Research
This study adds to a growing literature on the reach of dating
violence into the world of adolescence and underscores the need for
longitudinal research on its precursors and consequences. Without such
studies, it is will remain unclear whether dating violence precipitated
the sad/hopeless emotions, suicidal ideation, and risk-behavior
engagement or these behaviors antedated the victimization. For example,
it could be argued that girls who are more likely to engage in physical
fighting continue this behavior in their dating relationships. It is
also possible that other, yet unidentified factors, account for both
fighting and risk of dating violence.
Analysis of the national 1999 YRBS indicated that multiple sex
partners might be at the fulcrum of antecedent factors related to
physical dating violence against adolescent girls. Analysis of the
national 1999 YRBS indicated that multiple sex partners might be at the
fulcrum of antecedent factors related to physical dating violence
against adolescent girls. Yet, in the present study, recent sexual
intercourse, rather than multiple partners, was significantly related to
dating violence. This may simply reflect the fact that girls who are in
dating relationships are more likely to be sexually active, and thus
vulnerable to dating violence. It was also possible that the two
variables, sexual intercourse and multiple partners, were highly
correlated, thus, when one variable was included, the other variable had
less chance to be significant. It is left for future research to
establish the temporality of the relationship between risk engagement
and dating violence against girls, not only in relation to sexual
behaviors but emotional health as well. Longitudinal studies of youth,
initiated well before adolescence and extending into young adulthood,
would shed light on these important relationships.
At the same time, intervention efforts should be targeted at the
perpetrators of dating violence or else the impression of blaming the
victim is furthered. Motivations for perpetration need to be further
explored in the context of adolescent dating violence. Finally, given
the prevalence of violent behavior by boys in romantic relationships
(Halpern, Oslak, Young, Martin, & Kupper, 2001; Centers for Disease
Control, 2000; Foshee, 1996; Gray & Foshee, 1997; Gwartney-Gibbs,
Stockard, & Brohmer, 1987), their role and responsibility must be
addressed.
CONCLUSIONS
This study provides the most recent, generalizable findings on
physical dating violence among U.S. high school females. It highlights
implications for intervention and prevention research. The stability of
prevalence estimates underscores the importance of dating violence as a
public health problem. As part of comprehensive programs on healthy
dating relationships, efforts should be directed to the targeting of
girls who have risk profiles for dating victimization. Such programs may
concurrently impact on violence and family planning outcomes and affect
the trajectory of relationship patterns into adulthood.
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Min Qi Wang and Fang Yan, Department of Public and Community
Health, University of Maryland, College Park, Maryland.
Reprint requests should be sent to Donna Howard, Dr.PH, Department
of Public and Community Health CHHP, 2387 Valley Drive, University of
Maryland, College Park, MD 20742. E-mail:
[email protected]
Table 1
Prevalence and Unadjusted Odds Ratios For Relationships Between Dating
Violence and Demographic, Psychological and Behavioral Risk Factors
Among Adolescent Females Participating in the 2005 YRBS
Risk Factors Prevalence (%) Odds Ratio (95% CI)
Grade
12th 11.70 1.45(1.15-1.84) **
11th 10.76 1.26(0.95-1.66)
10th 10.19 1 30(1.02-1.67) *
9th 8.37 1.00
Ethnicity
Black 13.66 1.49(1.13-1.96) **
Hispanic 9.52 1.06(0.78-1.45)
Other 11.93 1.23(0.78-1.94)
White 8.46 1.00
Feel Sad/Hopeless
Yes 15.50 2.33(1.96-2.78) ***
No 7.03 1.00
Consider Suicide
Yes 18.50 2.85(2.25-3.61) ***
No 7.96 1.00
Attempted Suicide
Yes 22.81 3,16(2.434.11) ***
No 8.52 100
Physical Fight
2+ Times 24.02 3.72(2.80-0.92) ***
1 Time 12.82 1.89(1.46-2.44) ***
0 Times 6.96 1.00
Gun Carrying
1+ Days 34.62 3.92(2.01-7.66) ***
0 Days 9.76 1.00
Daily Cigarette Smoking
2+ Cigarettes 18.57 2.95(2.34-3.72) ***
1 Or Less Cigarettes 15.31 2.28(1.66-3.14) ***
0 Cigarettes 7.89 1.00
Days Drank Alcohol
6+ Days 18.60 2.93(2.16-3.96) ***
1-5 Days 13.01 2.06(1.65-2.57) ***
0 Days 6.87 1.00
Had 5+ Drinks Alcohol
6+ Days 18.72 2.77(1.66464) ***
1-5 Days 16.05 2.41(2.04-2.85) ***
0 Days 7.97 1.00
Used CocameAnhal ants
Yes 17.15 2.30(1.84-2.86) ***
No 9.00 1.00
Multiple Sex Partners
2+ People 17.80 3.71(2.48-5.55) ***
1 Person 16.07 3 19(2.42-4.21) ***
Never had sex/None 5.09 1.00
Alcohol/Drugs Before Sex
Yes 23.66 6.38(4.44-9.15) ***
No 14.48 3.86(2.91-5.12) ***
Never had sex 3.80 1.00
You/Partner Used Condoms
No 20.75 5.75(4.25-7.79) ***
Yes 12.75 3.38(2.45-4.68) ***
Never had sex 3.83 1.00
Note: The last category was used as the reference. * Indicates
significance at p < .05; ** p < .01; *** p < .001
Table 2
Adjusted Odds Ratios for Relationships Between Dating Violence and
Demographic, Psychological and Behavioral Risk Factors Among
Adolescent Females Participating in the 2005 YRBS
Risk Factors Odds Ratio 95% CI
Grade
12th Grade 1.32 0.88-1.98
11th Grade 1.31 0.89-1.93
10th Grade 1.31 0.92-1.86
9th Grade 1.00 1.00
Ethnicity
Black 1.47 1 07-2.02 *
Hispanic 0.99 0.71-1.38
Other 1.01 0.53-1.92
White 1.00 1.00
Feel Sad/Hopeless
Yes 1.42 1.15-1.76 **
No 1.00 1.00
Consider Suicide
Yes 1.55 1.07-2 23 *
No 1.00 100
Attempted Suicide
Yes 1.20 0.87-1.66
No 1.00 1.00
Physical Fight
2+ Times 2.17 1.53-3.08 ***
1 Time 1.21 0.90-1.62
0 Times 1.00 100
Gun Carrying
1+ Days 1.06 050-2.28
0 Days 1.00 1.00
Daily Cigarette Smoking
2+ Cigarettes 1.28 0.91-1.80
1 Or Less Cigarettes 1.21 0.72-2.05
0 Cigarettes 1.00 1.00
Days Drank Alcohol
6+ Days 0.82 0.50-1.34
1-5 Days 1.05 0.77-1.44
0 Days 1.00 100
Had 5+ Drinks Alcohol
6+ Days 1.06 0.58-1.93
1-5 Days 1.40 0.99-1.98
0 Days 1.00 1.00
Used Cocaine/inhalants
Yes 1.22 0.90-1.65
No 1.00 1.00
Multiple Sex Partners
2+ People 2.20 1.51-3.20 ***
1 Person 2.10 1.45-3.03 ***
Never had sex/None 1.00 100
Alcohol/Drugs Before Sex
Yes 1.35 0.96-1.91
Never had sex/No (1) 1.00 1.00
You/Partner Used Condoms
No 1.70 1.31-2.19 ***
Never had sex/Yes (1) 1.00 1.00
Note: The last category was used as the reference. * Indicates
significance at p < .05; ** p < .01; *** p < .001
(1) These were combined as the reference category