Evidence map›Paper›PMID 42109915›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Nonlinear associations between punishment sensitivity and problematic Internet use among adolescents: Results from cross-sectional and longitudinal analyses.

Jin-Peng Wang, Jia-Qi Zhang, Ya Zheng, Kesong Hu, Sheng-Hao Zhang, Jing Xiao, Qi Li

Abstract read
In one paragraph

Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jin-Peng WangBeijing Key Laboratory of Learning and Cognition and Department of Psychology, Capital Normal University, Beijing, China.
Jia-Qi ZhangBeijing Key Laboratory of Learning and Cognition and Department of Psychology, Capital Normal University, Beijing, China.
Ya ZhengDepartment of Psychology, Guangzhou University, Guangzhou, China.
Kesong HuDepartment of Psychology and Philosophy, Sam Houston State University, TX, USA.
Sheng-Hao ZhangBeijing Key Laboratory of Learning and Cognition and Department of Psychology, Capital Normal University, Beijing, China.
Jing XiaoCollege of Education, Captial Normal University, Beijing, China.
Qi LiBeijing Key Laboratory of Learning and Cognition and Department of Psychology, Capital Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Interaction of Person-Affect-Cognition-Execution (I-PACE) model assumes that personal components, such as punishment sensitivity (PS), affect problematic Internet use (PIU) by influencing the way individuals perceive the situation. However, previous studies exploring the relationship between PS and PIU have yielded inconsistent findings. One plausible explanation for this inconsistency is the potential nonlinearity of the relationship between PS and PIU. The purpose of the present study is to examine the curvilinear association between PS and PIU among adolescents. Method: In Study 1, we assessed 7555 participants using Behavioral Inhibition System Scales and Internet Addiction Test to measure PS and PIU. In Study 2, 506 participants were recruited to complete the Mixed Gambles Task and Internet Addiction Test to evaluate PS and PIU respectively. In Study 3, we conducted two waves of surveys within a one-year interval, with 1824 participants completing a battery of scales measuring their PS, anxiety, self-control, and PIU. Results: The results from Study 1 and Study 2 revealed a U-shaped association between PS and PIU. The results in Study 3 indicated that when PS was low, self-control mediated the relationship between PS and PIU. When PS was high, anxiety mediated the association between PS and PIU. Conclusions: These preliminary results emphasize the importance of considering the nonlinear association between PS and PIU, expanding the I-PACE model. Furthermore, this study offers empirical evidence in support of tailored treatment and intervention approaches for PIU, taking into account their varying levels of PS.

Indexed as

AnxietyImpulse controlProblematic Internet usePunishment sensitivityU-shape

Identifiers

PMID42109915
PMCPMC13156674

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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.