Evidence map›Paper›PMID 29334617›Full record

ArticleHealth & place2018

Chains of risk for alcohol use disorder: Mediators of exposure to neighborhood deprivation in early and middle childhood.

Katherine J Karriker-Jaffe, Sara L Lönn, Won K Cook, Kenneth S Kendler, Kristina Sundquist

Abstract read
In one paragraph

Article in Health & place, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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  13. Space and Place in Alcohol Research.Current epidemiology reports · 2019
    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.

Katherine J Karriker-JaffeAlcohol Research Group, Public Health Institute, Emeryville, CA, United States. Electronic address: kkarrikerjaffe@arg.org.
Sara L LönnCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Won K CookAlcohol Research Group, Public Health Institute, Emeryville, CA, United States.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Department of Psychiatry, Richmond, VA, United States.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden; Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.

Funding

Social, Developmental and Genetic Epidemiology of Alcohol Use DisordersR01AA023534 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN, SUNDQUIST, KRISTINA · 2015 to 2023
$4.0M
NIAAA NIH HHS R01 AA023534
6 · The paper itself

Abstract

Our goal was to test a cascade model to identify developmental pathways, or chains of risk, from neighborhood deprivation in childhood to alcohol use disorder (AUD) in young adulthood. Using Swedish general population data, we examined whether exposure to neighborhood deprivation during early and middle childhood was associated with indicators of social functioning in adolescence and emerging adulthood, and whether these were predictive of AUD. Structural equation models showed exposure to neighborhood deprivation was associated with lower school achievement during adolescence, poor social functioning during emerging adulthood, and the development of AUD for both males and females. Understanding longitudinal pathways from early exposure to adverse environments to later AUD can inform prevention and intervention efforts.

Indexed as

Residence CharacteristicsAdolescentAdultAlcoholismChildFemaleHumansLongitudinal StudiesMaleModels, StatisticalPovertyRegistriesRisk FactorsSwedenYoung AdultAlcohol use disorderNeighborhood deprivationSocial functioningSweden

Identifiers

PMID29334617
PMCPMC5834358

What OpenQuestion holds

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Registered trials

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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.