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1.
J Health Care Poor Underserved ; 27(1): 194-208, 2016.
Article in English | MEDLINE | ID: mdl-27763465

ABSTRACT

Emerging adulthood often entails heightened risk-taking with potential life-long consequences, and research on risk behaviors is needed to guide prevention programming, particularly in under-served and difficult to reach populations. This study evaluated the utility of Respondent Driven Sampling (RDS), a peer-driven methodology that corrects limitations of snowball sampling, to reach at-risk African American emerging adults from disadvantaged urban communities. Initial "seed" participants from the target group recruited peers, who then recruited their peers in an iterative process (110 males, 234 females; M age = 18.86 years). Structured field interviews assessed common health risk factors, including substance use, overweight/obesity, and sexual behaviors. Established gender-and age-related associations with risk factors were replicated, and sample risk profiles and prevalence estimates compared favorably with matched samples from representative U.S. national surveys. Findings supported the use of RDS as a sampling method and grassroots platform for research and prevention with community-dwelling risk groups.


Subject(s)
Black or African American , Risk-Taking , Sexual Behavior , Substance-Related Disorders , Vulnerable Populations , Adolescent , Adult , Body Weight , Female , Humans , Male , Surveys and Questionnaires
3.
Cyberpsychol Behav Soc Netw ; 17(9): 609-15, 2014 Sep.
Article in English | MEDLINE | ID: mdl-25007237

ABSTRACT

Most studies on the impact of playing violent video games on mental health have focused on aggression. Relatively few studies have examined the relationship between playing violent video games and depression, especially among preadolescent youth. In this study, we investigated whether daily violent video game playing over the past year is associated with a greater number of depressive symptoms among preadolescent youth, after controlling for several well-known correlates of depression among youth. We analyzed cross-sectional data collected from 5,147 fifth-grade students and their primary caregivers who participated in Wave I (2004-2006) of Healthy Passages, a community-based longitudinal study conducted in three U.S. cities. Linear regression was conducted to determine the association between violent video game exposure and number of depressive symptoms, while controlling for gender, race/ethnicity, peer victimization, witnessing violence, being threatened with violence, aggression, family structure, and household income level. We found that students who reported playing high-violence video games for ≥2 hours per day had significantly more depressive symptoms than those who reported playing low-violence video games for <2 hours per day (p<0.001). The magnitude of this association was small (Cohen's d=0.16), but this association was consistent across all racial/ethnic subgroups and among boys (Cohen's d values ranged from 0.12 to 0.25). Our findings indicate that there is an association between daily exposure to violent video games and number of depressive symptoms among preadolescent youth. More research is needed to examine this association and, if confirmed, to investigate its causality, persistence over time, underlying mechanisms, and clinical implications.


Subject(s)
Depression/psychology , Video Games/psychology , Violence/psychology , Aggression/psychology , Bullying/psychology , Causality , Child , Cross-Sectional Studies , Depression/diagnosis , Depression/epidemiology , Female , Health Surveys , Humans , Longitudinal Studies , Male , Peer Group , Risk Factors , Statistics as Topic , Time Factors , United States , Video Games/statistics & numerical data , Violence/statistics & numerical data
4.
Sex Transm Infect ; 90(6): 475-7, 2014 Sep.
Article in English | MEDLINE | ID: mdl-24860103

ABSTRACT

OBJECTIVES: Identifying sexual risk patterns associated with HIV/sexually transmitted infections (STI) and early parenthood within population subgroups is critical for targeting risk reduction interventions. METHODS: Latent Class Analysis (LCA) was used to identify sexual behaviour typologies to predict sexual risk outcomes among 274 (63% female) unmarried, sexually active African-American emerging adults (M age=19.31 years) living in disadvantaged urban neighbourhoods. Participants were enrolled in a larger cross-sectional observational study of risk and protective behaviours. LCA defined membership into discrete risk classes based on reported sex risk behaviours. RESULTS: Three groups were identified: The 'low contraception use' risk class (32%) had low rates of condom or other birth control use, moderate rates of sexual initiation before age 16 years, and the highest pregnancy/early parenthood and STI rates. The predominately male 'early sex' risk class (32%) had higher rates of early initiation and multiple partners, risks that were countered by higher contraception and condom use. Both these risk groups showed higher probability to use substances before sex relative to the 'low sex risk' class (36%), which showed low rates on all risk behaviours. CONCLUSIONS: LCA identified distinct risk clusters that predicted sexual health outcomes and can inform targeted interventions for a minority youth population disproportionately affected by HIV, other STIs, and early parenthood.


Subject(s)
Black or African American/statistics & numerical data , Condoms/statistics & numerical data , Contraception/statistics & numerical data , HIV Infections/prevention & control , Parents , Sexual Behavior/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Adult , Cluster Analysis , Cross-Sectional Studies , Female , Humans , Male , Pregnancy , Pregnancy Rate , Risk Factors , Risk-Taking , Sexual Partners , Sexually Transmitted Diseases/prevention & control , Substance-Related Disorders/epidemiology , Young Adult
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