Cited by 140Impact of Technology on AdolescentsPsychological Well-being and Life SatisfactionChild Development and Digital Technology

Unhappy and addicted to your phone?- Higher mobile phone use is associated with lower well-being

Volkmer, Sara Alida, Lermer, Eva·2019·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2018.12.015

Cites

48 of 48 references verified0 citation errors · 0 not checkable

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Authors
Volkmer, S. A., & Lermer, E.
Affiliations
  • Leiden University (NL)
  • FOM University of Applied Sciences for Economics and Management (DE)
Corresponding author
Volkmer, Sara Alida
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2019-04
Volume
93
Pages
210-218
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2904683521
Cited by
140
References
47
Citations by year
2026: 20 · 2025: 17 · 2024: 22 · 2023: 20 · 2022: 19 · 2021: 18 · 2020: 21 · 2019: 3
FWCI
23.90
Type
journal article
Language
en
Open access
closed
Locations
  • Computers in Human Behavior (publishedVersion)
  • Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
mobile phone use, well-being, life satisfaction, mindfulness, positive psychology, gender differences, smartphone addiction, digital technology and mental health

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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.

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