Evidence map›Paper›PMID 42819501›Full record

ArticlePsychology research and behavior management2026

Daily Bidirectional Associations Between Problematic Smartphone Use and Meaning in Life: A 14-Day Diary Study.

Aoxuan Wang, Changhao Yuan, Huiling Zhou

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Aoxuan WangSchool of Marxism, Shanghai Normal University, Shanghai, People's Republic of China.ORCID 0009-0002-5441-9950
Changhao YuanDepartment of Education, Northeast Normal University, Changchun, People's Republic of China.
Huiling ZhouSchool of Psychology, Shanghai Normal University, Shanghai, People's Republic of China.ORCID 0000-0003-4844-0016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Previous studies have documented a negative association between meaning in life and problematic smartphone use, but whether this relationship is bidirectional at the daily within-person level remains unclear. This study examined their day-to-day bidirectional associations among college students. Methods: A 14-day daily diary study was conducted with 232 college students from a university in northeastern China. Each evening, participants reported their experiences of meaning in life and problematic smartphone use during that day. Bayesian dynamic structural equation modeling was used to distinguish within-person fluctuations from stable between-person differences and to estimate autoregressive and reciprocal cross-lagged associations. Results: After accounting for their prior-day levels, lower-than-usual meaning in life predicted higher-than-usual problematic smartphone use on the following day. Conversely, higher-than-usual problematic smartphone use predicted lower-than-usual meaning in life on the following day. Conclusion: Meaning in life and problematic smartphone use demonstrated reciprocal day-to-day temporal associations within individuals. These findings extend previous research by showing that their relationship is not only observed at the between-person and long-term levels but also unfolds at the short-term within-person level. Future studies should investigate whether these daily associations can be modified through targeted interventions.

Indexed as

daily diary studydynamic structural equation modelingmeaning in lifeproblematic smartphone use

Identifiers

PMID42819501
PMCPMC13626011

What OpenQuestion holds

Textmetadata
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.