Cited by 101Impact of Technology on AdolescentsDigital Media and PhilosophySexuality, Behavior, and Technology

Smartphones are more reinforcing than food for students

O'Donnell, Sara, Epstein, Leonard H.·2019·Addictive Behaviors

Abstract

College students engage in high-frequency smartphone use, despite potential negative consequences. One way to conceptualize this behavior is to consider it a highly reinforcing activity. Comparing motivation for smartphones to a powerful primary reinforcer, such as food, can establish their relative reinforcing value. This study investigated whether smartphones were more reinforcing than food, as well as the relationships between smartphone reinforcement, texting use, and smartphone motives. Participants were 76 college students (50% female, M age = 18.9, SD = 0.99) who had no access to food for three hours and to their smartphones for two hours. After this modest deprivation period, participants worked for time to use their smartphones and 100-cal portions of their favorite snack food concurrently, with the work to obtain portions of both commodities increasing. The amount of smartphone use earned during the task was manipulated across groups (20, 30, 60, 120 s) to establish what amount of smartphone use was needed to motivate responding. Additionally, reinforcing efficacy of smartphones and food using a hypothetical purchase task and motivations for smartphone use was collected. Smartphones were more reinforcing than food using either measurement methodology (p's < 0.001). Smartphone reinforcement predicted number of text messages, controlling for age, sex, and family income. Positive smartphone use motives were associated with reinforcing efficacy of smartphones. These data show that smartphones are potent reinforcers, and are more reinforcing than food given modest food deprivation. These methods provide one important reason why people may use smartphones.

Integrity signals

Registry

Crossref · 10.1016/j.addbeh.2018.10.018

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
O'Donnell, S., & Epstein, L. H.
Affiliations
University at Buffalo, State University of New York (US)
Venue
Addictive Behaviors
Publisher
Elsevier BV
Published
2019-03
Volume
90
Pages
124-133
ISSN
0306-4603 (ISSN-L)
OpenAlex
W2896457489
Cited by
101
References
70
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 5 · 2021: 21 · 2020: 47 · 2019: 8
FWCI
43.24
Type
journal article
Language
en
Open access
closed
Locations
  • Addictive Behaviors (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
Keywords
smartphone use, reinforcement, primary reinforcers, food deprivation, text messaging, university students, motivating operations
MeSH terms
Smartphone, Adolescent, Adult, Eating, Female, Food, Humans, Male, Motivation, Reinforcement, Psychology, Students, Universities, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review