Age Differences and Underlying Psychological Mechanisms in Short Video Use: From an Adult Lifespan Perspective

Short videos attract users across various age groups; however, studies focusing on single populations, such as adolescents, have limited the understanding of possible age-related changes and differences in short video use. The aim of this study was to examine age trends in short video use and to identify age differences in the psychological mechanisms underlying use behaviors. A total of 1006 adults aged 18–83 years participated in the study and completed a battery of assessments, including short video use, self-control, social motivation, and covariates. The results showed that age moderated the effects of boredom proneness and fear of missing out on short video use. Self-control was associated with people’s use behavior, and boredom proneness and fear of missing out mediated this association across age. Specifically, older adults’ use was more likely to be associated with alleviating boredom rather than fear of missing out, whereas both were associated with young adults’ use. Investigating these mechanisms may provide a better understanding of the factors that correlate with short video use and help target interventions to different age groups.

Authors

Publication Details

Journal
Lifespan development and mental health.
Published
2025-01-01
DOI
https://doi.org/10.70322/ldmh.2025.10009
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age Differences and Underlying Psychological Mechanisms in Short Video Use: From an Adult Lifespan Perspective

Junjie Jiang, Dean McDonnell, Ke Wu, Jing Yu et al.
Lifespan development and mental health.
Education and Learning Interventions
article

Age Differences and Underlying Psychological Mechanisms in Short Video Use: From an Adult Lifespan Perspective

Junjie Jiang, Dean McDonnell, Ke Wu, Jing Yu, Baoshan Zhang
article en

Abstract

Short videos attract users across various age groups; however, studies focusing on single populations, such as adolescents, have limited the understanding of possible age-related changes and differences in short video use. The aim of this study was to examine age trends in short video use and to identify age differences in the psychological mechanisms underlying use behaviors. A total of 1006 adults aged 18–83 years participated in the study and completed a battery of assessments, including short video use, self-control, social motivation, and covariates. The results showed that age moderated the effects of boredom proneness and fear of missing out on short video use. Self-control was associated with people’s use behavior, and boredom proneness and fear of missing out mediated this association across age. Specifically, older adults’ use was more likely to be associated with alleviating boredom rather than fear of missing out, whereas both were associated with young adults’ use. Investigating these mechanisms may provide a better understanding of the factors that correlate with short video use and help target interventions to different age groups.

Lifespan development and mental health.Vol. 1(2)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 85%
Education and Learning Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Age Differences and Underlying Psychological Mechanisms in Short Video Use: From an Adult Lifespan Perspective — Junjie Jiang, Dean McDonnell, et al. · Lifespan development and mental health. (2025) | TGRS Research Map | TGRS