Evidence map›Paper›PMID 30278028›Full record

ArticleSexually transmitted diseases2019

Individual and Neighborhood Factors Associated With Sexual Behavior Classes in an Urban Longitudinal Sample.

Kerry M Green, Pamela A Matson, Beth A Reboussin, Adam J Milam, C Debra M Furr-Holden, Jill A Rabinowitz, Terrinieka W Powell, Nicholas S Ialongo

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Neighborhood Disadvantage and Poor Health: The Consequences of Race, Gender, and Age among Young Adults.International journal of environmental research and public health · 2022
    Article
  3. More than the sum of their parts: A dyad-centered approach to understanding adolescent sexual behavior.Sexuality research & social policy : journal of NSRC : SR & SP · 2022
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Kerry M Green
Pamela A MatsonPediatrics, Johns Hopkins Medicine, Baltimore, MD.
Beth A ReboussinBiostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC.
Adam J Milam
C Debra M Furr-HoldenEpidemiology and Biostatistics, Michigan State University College of Human Medicine, Flint, MI.
Jill A RabinowitzMental Health, and.
Terrinieka W PowellPopulation, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Nicholas S IalongoMental Health, and.
Johns Hopkins University · USMichigan State University · USUniversity of Maryland, College Park · USWake Forest University · US

Funding

Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
Center for Adolescent Health Promotion and Disease Prev*U48DP000040 · DP · JOHNS HOPKINS UNIVERSITY · PI SONENSTEIN, FREYA L · 2004 to 2008
$2.2M
Progression and Clustering of Marijuana Use in African American NeighborhoodsR01DA032550 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI REBOUSSIN, BETH A. · 2012 to 2018
$1.3M
A library-based prevention intervention for adolescents affected by parental drug use K01DA042134 · NIDA · JOHNS HOPKINS UNIVERSITY · PI POWELL, TERRINIEKA WILLIAMS · 2017 to 2022
$1.0M
The Social Context of Adolescent Marijuana Use: A Systems ApproachK01DA035387 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MATSON, PAMELA A · 2014 to 2018
$923k
NCCDPHP CDC HHS U48 DP000040NICHD NIH HHS P2C HD041041NIDA NIH HHS K01 DA035387NIDA NIH HHS K01 DA042134NIDA NIH HHS R01 DA032550
6 · The paper itself

Abstract

backgroundThis study aimed to increase understanding of the clustering of sexual behaviors in an urban sample of emerging adults, and the individual and neighborhood factors associated with sexual behavior patterns to provide insight into reducing the disproportionate burden of poor sexual outcomes among urban African Americans.

methodsWe draw on 2 cohorts of urban, predominantly African American youth first assessed at age 6 years and follow-up to emerging adulthood (mean age, 20 years; n = 1618). Latent class analyses by gender identified co-occurrence of sexual behavior.

resultsWe found 3 classes for both males and females: high-risk (13% of males, 15% of females), low-risk (54% of males, 56% of females) and no-risk (33% of males, 29% of females). Membership in the high-risk class was associated with school dropout, a substance use disorder diagnosis, having a criminal arrest, pregnancy, and sexually transmitted diseases for both males and females. High-risk females also had higher rates of depression. Low-risk males and females also had elevated risk of pregnancy and parenthood. Neighborhood factors distinguished the high- and no-risk classes for males and females, including the neighborhood environment scale, which assessed poverty, safety, drug activity, and crime/violence in the neighborhood. Neighborhood religiosity was inversely associated with membership in the high-risk class compared with the no-risk class for females only. Neighborhood racism distinguished those in the high-risk class compared with the no-risk class for males.

conclusionsFuture work should take into account the clustering of sexual risk behaviors. Specific neighborhood factors could be addressed to reduce sexual health disparities.

Indexed as

Residence CharacteristicsRisk-TakingSex EducationUrban PopulationAdolescentAdolescent BehaviorChildCohort StudiesFemaleHumansLongitudinal StudiesMaleRisk FactorsSexual BehaviorYoung Adult

Identifiers

PMID30278028
PMCPMC6521964
OpenAlexW2894737938

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.