Evidence map›Paper›PMID 33914568›Full record

ArticleExperimental and clinical psychopharmacology2022

Reinforcer pathology of internet-related behaviors among college students: Data from six countries.

Samuel F Acuff, Angelina Pilatti, Megan Collins, Leanne Hides, Nutankumar S Thingujam, Wen Jia Chai, Wai Meng Yap, Ruichong Shuai, Lee Hogarth, Adrian J Bravo and 1 more

Open access · greenAbstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. 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

11 authors at 1 institution.

Samuel F AcuffDepartment of Psychology.ORCID 0000-0002-1934-2639
Angelina PilattiInstituto de Investigaciones Psicológicas.
Megan CollinsSchool of Psychology.
Leanne HidesSchool of Psychology.ORCID 0000-0002-4550-8460
Nutankumar S ThingujamDepartment of Psychology.ORCID 0000-0002-3185-0759
Wen Jia ChaiDepartment of Neurosciences.ORCID 0000-0002-5854-6669
Wai Meng YapDepartment of Psychology.ORCID 0000-0002-3011-5365
Ruichong ShuaiSchool of Psychology.ORCID 0000-0002-7178-3423
Lee HogarthSchool of Psychology.ORCID 0000-0002-0299-5748
Adrian J BravoDepartment of Psychological Science.ORCID 0000-0002-4630-6449
James G MurphyDepartment of Psychology.
Instituto de Investigaciones Psicológicas

Funding

Integration of Electrophysiological and Behavioral Economic Models of Reward Among Heavy Drinking Emerging AdultsF31AA027140 · NIAAA · UNIVERSITY OF MEMPHIS · PI ACUFF, SAMUEL FISHER · 2019 to 2021
$109k
National Institute of HealthNIAAA NIH HHS F31 AA027140
6 · The paper itself

Abstract

Research has demonstrated that repeated engagement in low-effort behaviors that are associated with immediate reward, such as Internet use, can result in a pathological reinforcement process in which the behavior is increasingly selected over other activities due, in part, to a low availability of alternative activities and to a strong preference for immediate rather than delayed rewards (delay discounting). However, this reinforcer pathology model has not been generalized to other Internet-related behaviors, such as online gaming or smartphone use. Given the widespread availability of these technologies, it is also important to examine whether reinforcer pathology of Internet-related behaviors is culturally universal or culture-specific. The current study examines relations between behavioral economic constructs (Internet demand, delay discounting, and alternative reinforcement) and Internet-related addictive behaviors (harmful Internet use, smartphone use, online gaming, and Internet sexual behavior) in a cross-sectional sample of college students (N = 1,406) from six different countries (Argentina, Australia, India, Malaysia, the United Kingdom, and the United States). Using structural equation modeling, Internet demand was associated with harmful Internet use, smartphone use, and online gaming; delay discounting was associated with harmful smartphone use; and alternative reinforcement was associated with harmful Internet and smartphone use. The models were partially invariant across countries. However, mean levels of behavioral economic variables differed across countries, country-level gross domestic product, person-level income, and sex at birth. Results support behavioral economic theory and highlight the importance of considering both individual and country-level sociocultural contextual factors in models for understanding harmful engagement with Internet-related behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

Behavior, AddictiveSubstance-Related DisordersCross-Sectional StudiesEconomics, BehavioralHumansInfant, NewbornInternetStudents

Identifiers

PMID33914568
PMCPMC8553798
OpenAlexW3157300852

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.