Evidence map›Paper›PMID 29172601›Full record

ArticleJournal of abnormal psychology2018

Reciprocal variations in sleep and drinking over time among heavy-drinking young adults.

Lisa M Fucito, Krysten W Bold, Eliza Van Reen, Nancy S Redeker, Stephanie S O'Malley, Tess H Hanrahan, Kelly S DeMartini

Abstract read
In one paragraph

Article in Journal of abnormal psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Association between alcohol consumption and sleep difficulty in a nationwide Korean survey.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Article
  20. 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.

Lisa M FucitoDepartment of Psychiatry, Yale School of Medicine.
Krysten W BoldDepartment of Psychiatry, Yale School of Medicine.
Eliza Van ReenE. P. Bradley Hospital.
Nancy S RedekerYale School of Nursing.
Stephanie S O'MalleyDepartment of Psychiatry, Yale School of Medicine.
Tess H HanrahanDepartment of Psychiatry, Yale School of Medicine.
Kelly S DeMartiniDepartment of Psychiatry, Yale School of Medicine.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Translational Neuroscience Research in Alcoholism (TNRA-TP)T32AA015496 · NIAAA · YALE UNIVERSITY · PI PETRAKIS, ISMENE L. · 2005 to 2014
$1.6M
Yale Center for Sleep Disturbance in Acute and Chronic ConditionsP20NR014126 · NINR · YALE UNIVERSITY · PI KRYGER, MEIR H, YAGGI, HENRY KLAR · 2012 to 2016
$1.4M
New Approaches to Smoking Cessation in Heavy DrinkersK23AA020000 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2011 to 2016
$755k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K23 AA020000NIAAA NIH HHS T32 AA015496NIDA NIH HHS T32 DA019426NIH HHSNINR NIH HHS P20 NR014126
6 · The paper itself

Abstract

Prior studies have established an association between sleep problems during early adolescence and heavy alcohol use/alcohol use disorder (AUD) risk in late adolescence. Less research has explored the association between sleep problems and heavy alcohol use during young adulthood, the period when AUD onset peaks. Moreover, research to date has primarily utilized cross-sectional, between-subjects' methods to examine this relationship, with limited focus on the potential intraindividual variation in these behaviors. Multilevel modeling techniques are well-suited to examine the variability in sleep problems and risky alcohol use over time and the dynamic bidirectional relations among these behaviors. This article reports on 42 heavy-drinking college students at-risk for an AUD based on their responses to a validated alcohol screener who completed daily diaries of sleep and alcohol use and wore a sleep-wake activity monitor (i.e., Philips Respironics Actiwatch 2™) daily for 7 days yielding a total of 294 reports. Hierarchical linear models demonstrated that days of heavy drinking predicted delayed bed and wake times within individuals and those individuals who tended to drink more heavily on average had shorter sleep durations. Conversely, days of shorter sleep duration, earlier wake times, and greater perceived sleep quality upon waking predicted greater alcohol use within individuals, and those who tended to feel more alert upon waking drank more on average. These results highlight important within- and between-person variability in the associations among objective and subjective sleep-related problems and at-risk drinking among young adults. Further, the results have implications for alcohol prevention/intervention strategies for young adults at risk for AUDs. (PsycINFO Database Record

Indexed as

SleepAdultAlcohol DrinkingAlcoholismFemaleHumansMaleRisk FactorsYoung Adult

Identifiers

PMID29172601
PMCPMC5785424

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.