Evidence map›Paper›PMID 29697747›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2019

Genetic, Psychological, and Personal Network Factors Associated With Changes in Binge Drinking Over 2 Years Among Mexican Heritage Adolescents in the USA.

Sunmi Song, Christopher Steven Marcum, Anna V Wilkinson, Sanjay Shete, Laura M Koehly

Open access · bronzeAbstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

5 authors at 5 institutions in 2 countries.

Sunmi SongDepartment of Healthy Living, Health Risk Prevention Team, Korea Health Promotion Institute, Jung-gu, Seoul, Republic of Korea.
Christopher Steven MarcumSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Anna V WilkinsonDepartment of Epidemiology, Human Genetics and Environmental Science, UTHealth School of Public Health in Austin, Austin, Texas, USA.
Sanjay SheteDivision of Quantitative Sciences, University of Texas MD Anderson Center, Houston, Texas, USA.
Laura M KoehlySocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Korea Health Promotion Institute · KRNational Human Genome Research Institute · USNational Institutes of Health · USThe University of Texas MD Anderson Cancer Center · USUniversity of Texas Health Science Center at Dallas · US

Funding

The influence of familial social context on risk dissemination and copingZIAHG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2009 to 2025
$13.6M
Biobehavioral-Smoking Profiles in Mexican-American YouthR01CA105203 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 2004 to 2008
$2.9M
The influence of familial social context on risk dissemination and copingZ01HG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2006 to 2008
$1.2M
Bio-Behavioral Smoking Profiles in Mexican Origin YouthK07CA126988 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WILKINSON, ANNA VICTORIA · 2008 to 2012
$753k
Intramural NIH HHS Z01 HG200335NCI NIH HHS K07 CA126988NCI NIH HHS R01 CA105203
6 · The paper itself

Abstract

Background: Despite prevalent binge drinking and alcohol-dependent symptoms among Hispanics, few studies have examined how multidimensional factors influence Hispanic adolescents' binge drinking. Purpose This study examines the effects of genetic, psychological, and social network factors on binge drinking over time among Mexican heritage adolescents in the USA and whether there are correlations among genetic variants that are associated with binge drinking and psychological and network characteristics. Methods: Mexican heritage adolescents (n = 731) participated in a longitudinal study, which included genetic testing at baseline, alcohol use assessments at first and second follow-ups, and questionnaires on sensation seeking, impulsivity, and peer and family network characteristics at second follow-up. Logistic regression and Spearman correlation analyses were performed. Results: After adjusting for demographic characteristics, underlying genetic clustering, and binge drinking at first follow-up, two genetic variants on tryptophan hydroxylase 2 (TPH2; rs17110451, rs7963717), sensation seeking and impulsivity, and having a greater fraction of peers who drink or encourage drinking alcohol were associated with greater risk whereas another genetic variant on TPH2 (rs11178999) and having a greater fraction of close family relationships were associated with reduced risk for binge drinking at second follow-up. Genetic variants in TPH1 (rs591556) were associated with sensation seeking and impulsivity, while genetic variants in TPH2 (rs17110451) were associated with the fraction of drinkers in family. Conclusions: Results reveal that genetic variants in the serotonin pathway, behavioral disinhibition traits, and social networks exert joint influences on binge drinking in Mexican heritage adolescents in the USA.

Indexed as

Social NetworkingAdolescentAdolescent BehaviorAlcohol DrinkingBinge DrinkingChildFemaleHumansImpulsive BehaviorLongitudinal StudiesMaleMexican AmericansPolymorphism, Single NucleotideRisk-TakingTryptophan HydroxylaseUnderage DrinkingTPH1 protein, humanTPH2 protein, humanTryptophan Hydroxylase

Identifiers

PMID29697747
PMCPMC6200652
OpenAlexW2799920898

What OpenQuestion holds

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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.