Longitudinal Associations Between Materialism and Problematic Smartphone Use in Adolescence: Within- and Between-Person Effects

Although there are theoretically expected associations between problematic smartphone use (PSU) and materialism, there is a lack of research that examines these associations using a longitudinal design, focusing on both within-person and between-person effects. Clarifying this relationship may inform interventions for these related conditions. Accordingly, data from three annual waves collected from a substantial group of Chinese adolescents (<i>N</i> = 3029, <i>M</i><sub>age</sub> = 12.26 ± 2.36, male: 50.00%) were used to assess within-person and between-person effects in the association between PSU and materialism. Traditional cross-lagged panel models were utilized to analyze the data, which consistently showed reciprocal positive associations between PSU and materialism across all waves. In contrast, the random intercept cross-lagged panel model revealed that PSU and materialism exhibited reciprocal associations over time at the between-person level. However, no significant cross-lagged linkage was observed between PSU and materialism at the within-person level. These findings enhance our understanding of the temporal dynamic relationship between PSU and materialism and underscore the necessity to disaggregate within-person and between-person effects to elucidate the nature of the longitudinal associations between PSU and materialism. The study also has implications for theoretical and practical understanding.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2026-01-21
DOI
https://doi.org/10.3390/bs16010150
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal Associations Between Materialism and Problematic Smartphone Use in Adolescence: Within- and Between-Person Effects

Xinran Dai, Xiaoxiong Lai, Shunsen Huang, Huanlei Wang et al.
Behavioral Sciences
Impact of Technology on Adolescents
article

Longitudinal Associations Between Materialism and Problematic Smartphone Use in Adolescence: Within- and Between-Person Effects

Xinran Dai, Xiaoxiong Lai, Shunsen Huang, Huanlei Wang, Xinmei Zhao, Yun Wang
article en

Abstract

Although there are theoretically expected associations between problematic smartphone use (PSU) and materialism, there is a lack of research that examines these associations using a longitudinal design, focusing on both within-person and between-person effects. Clarifying this relationship may inform interventions for these related conditions. Accordingly, data from three annual waves collected from a substantial group of Chinese adolescents (<i>N</i> = 3029, <i>M</i><sub>age</sub> = 12.26 ± 2.36, male: 50.00%) were used to assess within-person and between-person effects in the association between PSU and materialism. Traditional cross-lagged panel models were utilized to analyze the data, which consistently showed reciprocal positive associations between PSU and materialism across all waves. In contrast, the random intercept cross-lagged panel model revealed that PSU and materialism exhibited reciprocal associations over time at the between-person level. However, no significant cross-lagged linkage was observed between PSU and materialism at the within-person level. These findings enhance our understanding of the temporal dynamic relationship between PSU and materialism and underscore the necessity to disaggregate within-person and between-person effects to elucidate the nature of the longitudinal associations between PSU and materialism. The study also has implications for theoretical and practical understanding.

Behavioral SciencesVol. 16(1)
Chinese Academy of Social Sciences (CN), Beijing Normal University (CN), Guangzhou Experimental Station (CN), National Institute of Education Sciences (CN), National Academy of Education (US), Chengdu University (CN), Institute of Sociology (CN)
Openalex Percentile: Top 85%
Impact of Technology on Adolescents
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.