Evidence map›Paper›PMID 25024105›Full record

ArticleDrug and alcohol dependence2014

Family ties: maternal-offspring attachment and young adult nonmedical prescription opioid use.

M Cerdá, P Bordelois, K M Keyes, A L Roberts, S S Martins, S L Reisner, S B Austin, H L Corliss, K C Koenen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  10. Maternal Factors and Sexual Orientation-Related Disparities in Cervical Cancer Prevention.Women's health issues : official publication of the Jacobs Institute of Women's Health
    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

9 authors at 4 institutions in 1 country.

M CerdáDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA. Electronic address: mc3226@columbia.edu.
P BordeloisDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
K M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
A L RobertsDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston MA 02115, USA.
S S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
S L ReisnerDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
S B AustinDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston MA 02115, USA; Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
H L CorlissDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
K C KoenenDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Columbia University · USBrigham and Women's Hospital · USHarvard University · USMassachusetts Department of Public Health · US

Funding

Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
Predictors of Pathological Gambling among African-American Young AdultsR01HD060072 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2009 to 2018
$3.9M
Sexual Orientation and Obesity: Test of a Gendered Biopsychosocial ModelR01HD066963 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI AUSTIN, S BRYN · 2011 to 2015
$3.5M
Causes and Impact of Minority Stress on Health and Development in YouthR01HD057368 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI AUSTIN, S BRYN, ROSARIO, MARGARET · 2009 to 2013
$3.3M
Impact of Violence on Obesity & Reproductive Axes in YouthR01HD049889 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROSALIND J · 2006 to 2010
$1.6M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
Trajectories of Substance Use and Comorbid Mental IllnessK01DA030449 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CERDA, MAGDALENA · 2011 to 2015
$897k
Adolescent Substance Use and the Transition to Adulthood in Sexual Minority YouthK01DA023610 · NIDA · BOSTON CHILDREN'S HOSPITAL · PI CORLISS, HEATHER L · 2007 to 2011
$689k
NCIPC CDC HHS R49 CE002096NIAAA NIH HHS K01 AA021511NICHD NIH HHS HD049889NICHD NIH HHS HD057368NICHD NIH HHS HD060072NICHD NIH HHS HD066963NICHD NIH HHS R01 HD049889NICHD NIH HHS R01 HD057368NICHD NIH HHS R01 HD060072NICHD NIH HHS R01 HD066963NIDA NIH HHS DA030449NIDA NIH HHS DA23610NIDA NIH HHS K01 DA023610NIDA NIH HHS K01 DA030449
6 · The paper itself

Abstract

backgroundNonmedical prescription drug use is prevalent among young adults, yet little is known about modifiable determinants of use. We examined whether maternal-offspring attachment reported at mean age 21 was associated with nonmedical prescription opioid use at mean age 26, and investigated whether a history of depressive symptoms and substance use played a role in associations between maternal-offspring attachment and nonmedical prescription opioid use.

methodsWe used data from the Growing Up Today Study, a longitudinal cohort of United States adolescents followed into young adulthood. Maternal-offspring attachment was reported by young adults and their mothers, and defined as mutual low, mutual medium or high, and dissonant. Analyses were carried out in the full sample using generalized estimating equation models, and in a sibling subsample, using conditional fixed effects models to control for stable aspects of the family environment.

resultsAnalyses with the full sample and the sibling subsample both showed that mutual medium/high maternal-offspring attachment at age 21 was associated with lower odds of nonmedical prescription opioid use at age 26 (RR=0.74; 95% CI=0.57-0.97 in full sample). The association was partly mediated by mean age 23 offspring smoking, heavy episodic drinking, and illicit drug use.

conclusionsPromoting reciprocal attachment in the maternal-offspring dyad should be investigated as a strategy to prevent nonmedical prescription opioid use by young adulthood. Even in young adulthood, programs that target both parents and offspring may have greater impact on offspring substance use than programs that target offspring alone.

Indexed as

Analgesics, OpioidObject AttachmentAdolescentAdultChildFemaleHumansMaleMother-Child RelationsOpioid-Related DisordersPrescription Drug MisuseSmokingSurveys and QuestionnairesYoung AdultAnalgesics, OpioidMaternal-child attachmentMediatorsNonmedical prescription opioid useSibling fixed effects models

Identifiers

PMID25024105
PMCPMC4134317
OpenAlexW2077981530

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.