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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">HPR</journal-id><journal-title-group><journal-title>Health Psychology Research</journal-title></journal-title-group><issn>TBA</issn><eissn>2420-8124</eissn><publisher><publisher-name>Health Psychology Research</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14440/hpr.0377</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title>Quality of Generative Artificial Intelligence Use and Adolescent Well-Being: Pathways via Happiness, Meaning, and Resilience in Southwest China</title><url>https://healthpr.org/journal/HPR/14/1/10.14440/hpr.0377</url><author>LiXianfeng,ZhangXi</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>14</volume><issue>1</issue><history><date date-type="pub"><published-time>2026-03-31</published-time></date></history><abstract>Background
Evidence on adolescents&amp;rsquo; generative artificial intelligence (GenAI) use and its associations with mental health is mixed.
Objective
We aim to examine whether GenAI-use motivation is associated with psychological resilience, testing both parallel mediation through happiness and meaning and serial mediation via happiness &amp;rarr; meaning.
Methods
Adolescents attending boarding high schools in Southwest China with an on-campus phone ban (N = 395) completed measures of GenAI-use motivation, happiness, meaning in life, and resilience. Weekly off-campus/home GenAI-use frequency was self-reported using a single ordinal item. GenAI was defined as content-generating artificial intelligence accessed via standalone tools or embedded features. Partial least squares structural equation modeling with bias-corrected and accelerated bootstrapping (5,000 resamples) estimated associations and indirect effects.
Results
Motivation was weakly associated with happiness (&amp;beta; = 0.128) and positively associated with meaning (&amp;beta; = 0.197); happiness was related to meaning (&amp;beta; = 0.535). The total indirect effect on resilience was &amp;beta; = 0.183 (95% CI = [0.085, 0.277]) via happiness (&amp;beta; = 0.050, 95% CI = [0.001, 0.093]), meaning (&amp;beta; = 0.098, 95% CI = [0.047, 0.156]), and happiness &amp;rarr; meaning (&amp;beta; = 0.034, 95% CI = [0.001, 0.068]). Self-reported use frequency showed a weak negative association with resilience (&amp;beta; = &amp;minus;0.062). The model explained 61.3% of the variance in resilience (R2 = 0.613).
Conclusion
Adolescents&amp;rsquo; motivation for using GenAI may be more informative than frequency alone. School-based GenAI literacy, supported by educator professional learning that promotes guided, goal-directed use, may help foster adolescents&amp;rsquo; meaning in life and psychological resilience.</abstract><keywords>Adolescents, Generative artificial intelligence, Happiness, Meaning in life, Psychological resilience</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>
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