Evidence map›Paper›PMID 42599363›Full record

ArticleAnnals of the New York Academy of Sciences2026

Protégé Effect for Behavior Change: Does Teaching Digital Stress Solutions to Others Reduce One's Own?

Sameha AlShakhsi, Ala Yankouskaya, Dena Al-Thani, Raian Ali

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 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

4 authors.

Sameha AlShakhsiCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Ala YankouskayaSchool of Psychology, Bournemouth University, Bournemouth, UK.
Dena Al-ThaniCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Raian AliCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

Funding

NPRP 14 Cluster NPRP 14C-0916-210015Qatar National LibraryQatar National Research Fund
6 · The paper itself

Abstract

The protégé effect suggests that individuals learn a subject more effectively when they teach it to others. Can we therefore assume that when individuals with a problematic behavior teach others about it and how to manage it, they become more likely to reduce and better manage that behavior themselves? We address this question by evaluating a protégé-based approach to reducing and managing digital stress (DS). Over 3 weeks, 137 participants with moderate-high DS were assigned to four groups. Two groups followed a protégé-based approach: a passive group, given materials to teach, and an active group, given headlines and required to search for and prepare teaching content. Both groups completed three sessions, each focusing on one DS dimension: availability stress, approval anxiety, and fear of missing out. A digital literacy group received content and quizzes, alongside a control group. Outcomes included DS levels, problematic social media use, word of mouth, and issue involvement. Results showed no significant differences between groups. The findings highlight the difficulty of translating cognitive engagement into behavioral change. This study contributes empirical evidence to the digital well-being literature by illustrating the challenges of enhancing digital well-being, potentially due to persistent digital habits and socially reinforced stressors.

Indexed as

Stress, PsychologicalAdultAnxietyDigital MediaFemaleHumansMaleSocial MediaYoung Adultapproval anxietyavailability demand stressdigital stressdigital well‐beingfear of missing out

Identifiers

PMID42599363
PMCPMC13475590

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.