Evidence map›Paper›PMID 27038597›Full record

ArticleAlcoholism, clinical and experimental research2016

Drinking Patterns Across Spring, Summer, and Fall in 462 University Students.

Marc A Schuckit, Tom L Smith, Peyton Clausen, Jessica Skidmore, Alexandra Shafir, Jelger Kalmijn

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. High-Intensity Drinking.Alcohol research : current reviews · 2018
    Review
  6. 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

6 authors at 1 institution in 1 country.

Marc A SchuckitDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Tom L SmithDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Peyton ClausenDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Jessica SkidmoreDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Alexandra ShafirDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
Jelger KalmijnDepartment of Psychiatry, University of California, San Diego, La Jolla, California.
University of California, San Diego · US

Funding

Alcohol Research in the Science/Practitioner ModelT32AA013525 · NIAAA · SAN DIEGO STATE UNIVERSITY · PI EDWARD P RILEY, ANDREA SPADONI TOWNSEND · 2002 to 2026
$8.4M
PREVENTION APPROACH TO COLLEGE HEAVY DRINKING BASED ON A LOW RESPONSE TO ALCOHOLR01AA021162 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHUCKIT, MARC A · 2013 to 2014
$945k
NIAAA NIH HHS 1 R01 AA021162NIAAA NIH HHS 5 T32 AA013525NIAAA NIH HHS R01 AA021162NIAAA NIH HHS T32 AA013525
6 · The paper itself

Abstract

backgroundStudent heavy drinking and associated problems are common at most universities and fluctuate throughout the calendar year, with marked increases during celebrations. Most studies of student drinking are limited to the academic year itself, and relatively few focus specifically on special heavy drinking events. Even fewer studies include drinking during summer break and subsequent school return.

methodsIn the context of an experimental protocol, beginning in January 2014, alcohol-related characteristics were evaluated 8 times over 55 weeks for 462 college freshmen, including periods that incorporated a campus festival, summer, and school return. Baseline predictors of drinking quantities over time included demography, substance use patterns, as well as environmental and attitudinal characteristics. Product-moment correlations evaluated relationships between baseline characteristics and subsequent quantities, and simultaneous entry regression analyses evaluated which characteristics most robustly predicted usual and maximum drinks over time.

resultsMaximum drinks per occasion increased 18% from the early spring (4/8/14 to 5/6/14) to the campus festival period (5/7/14 to 6/3/14), decreased 29% in the summer (7/8/14 to 8/5/14), and increased 31% on school return (10/7/14 to 11/4/14). The most robust predictors of higher quantities in regression analyses included items from each of the 3 major domains with the most consistent results seen for most baseline alcohol-related items and descriptive drinking norms (R(2) = 0.20 to 0.31).

conclusionsThese data demonstrate important changes in students' drinking during the calendar year, including expected large increases during the month of a 1-day festival, large decreases over the summer, and resumption of relatively high quantities upon return to school.

Indexed as

SeasonsAdolescentAlcohol Drinking in CollegeBinge DrinkingFemaleFollow-Up StudiesHumansMaleStudentsSurveys and QuestionnairesUniversitiesYoung AdultAlcoholChanges Over TimePredictionUniversity

Identifiers

PMID27038597
PMCPMC4819255
OpenAlexW2315986898

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.