Evidence map›Paper›PMID 28707175›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2018

Acculturation and Syndemic Risk: Longitudinal Evaluation of Risk Factors Among Pregnant Latina Adolescents in New York City.

Isabel Martinez, Trace S Kershaw, Danya Keene, Rafael Perez-Escamilla, Jessica B Lewis, Jonathan N Tobin, Jeannette R Ickovics

Open access · bronzeAbstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Intimate Partner Violence: A Bibliometric Review of Literature.International journal of environmental research and public health · 2020
    Review
  6. Addressing Syndemic Health Disparities Among Latin Immigrants Using Peer Support.Journal of racial and ethnic health disparities · 2019
    Article
  7. Article
  8. Review
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

7 authors at 3 institutions in 1 country.

Isabel MartinezDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Trace S KershawDepartment of Chronic Disease Epidemiology, Yale University School of Public Health and Center for Interdisciplinary Research on AIDS, New Haven, CT, USA.
Danya KeeneDepartment of Chronic Disease Epidemiology, Yale University School of Public Health and Center for Interdisciplinary Research on AIDS, New Haven, CT, USA.
Rafael Perez-EscamillaDepartment of Chronic Disease Epidemiology, Yale University School of Public Health and Center for Interdisciplinary Research on AIDS, New Haven, CT, USA.
Jessica B LewisDepartment of Chronic Disease Epidemiology, Yale University School of Public Health and Center for Interdisciplinary Research on AIDS, New Haven, CT, USA.
Jonathan N TobinClinical Directors Network, New York, NY, USA.
Jeannette R IckovicsDepartment of Chronic Disease Epidemiology, Yale University School of Public Health and Center for Interdisciplinary Research on AIDS, New Haven, CT, USA.
Yale University · USClinical Directors Network · USHarvard University · US

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI John Edward Pachankis · 2001 to 2026
$48.5M
NIMH NIH HHS P30 MH062294
6 · The paper itself

Abstract

Background: Syndemics are co-occurring epidemics that synergistically contribute to specific risks or health outcomes. Although there is substantial evidence demonstrating their existence, little is known about their change over time in adolescents. Purpose: The objectives of this paper were to identify longitudinal changes in a syndemic of substance use, intimate partner violence, and depression and determine whether immigration/cultural factors moderate this syndemic over time. Methods: In a cohort of 772 pregnant Latina adolescents (ages 14-21) in New York City, we examined substance use, intimate partner violence, and depression as a syndemic. We used longitudinal mixed-effect modeling to evaluate whether higher syndemic score predicted higher syndemic severity, from pregnancy through 1 year postpartum. Interaction terms were used to determine whether immigrant generation and separated orientation were significant moderators of change over time. Results: We found a significant increasing linear effect for syndemic severity over time (β = 0.0413, P = 0.005). Syndemic score significantly predicted syndemic severity (β = -0.1390, P ≤ 0.0001), as did immigrant generation (βImmigrant = -0.1348, P ≤ 0.0001; β1stGen = -0.1932, P = 0.0005). Both immigrant generation (βImmigrant = -0.1125, P = 0.0035; β1stGen = -0.0135, P = 0.7279) and separated orientation (β = 0.0946, P = 0.0299) were significantly associated with change in severity from pregnancy to 1 year postpartum. Conclusion: Pregnancy provides an opportunity for reducing syndemic risk among Latina adolescents. Future research should explore syndemic changes over time, particularly among high-risk adolescents. Prevention should target syndemic risk reduction in the postpartum period to ensure that risk factors do not increase after pregnancy.

Indexed as

AcculturationSyndemicAdolescentAdultComorbidityDepressive DisorderFemaleHispanic or LatinoHumansIntimate Partner ViolenceLongitudinal StudiesNew York CityPregnancyPregnancy ComplicationsPregnancy in AdolescenceRisk Factors

Identifiers

PMID28707175
PMCPMC6367896
OpenAlexW2734663032

What OpenQuestion holds

Textmetadata
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.