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Latent profile analysis of psychological needs thwarting in Chinese school teachers: longitudinal associations with problematic smartphone use, psychological distress, and perceived administrative support.
Liao, Xiao-Ling; Cao, Cui-Hong; Gamble, Jeffrey H; Li, Ling-Ling; Jiang, Xing-Yong; Bo, Cun-Xu; Chen, I-Hua.
Afiliación
  • Liao XL; International College, Krirk University, Bangkok, Thailand.
  • Cao CH; School of Foreign Languages, Shandong Women's University, Jinan, China.
  • Gamble JH; Faculty of Education, Qufu Normal University, Qufu, China.
  • Li LL; Department of English, National Changhua University, Changhua, Taiwan.
  • Jiang XY; No.1 Senior High School, Xinjian District of Nanchang City, Nanchang, China.
  • Bo CX; Yangan Primary School of Qionglai City, Qionglai, China.
  • Chen IH; Shandong Provincial Institute of Education Sciences, Jinan, China.
Front Public Health ; 11: 1299929, 2023.
Article en En | MEDLINE | ID: mdl-38174075
ABSTRACT

Introduction:

In light of the significant impact that teachers have on education quality and student growth, their mental health warrants special attention. With the increasing popularity of Information and Communication Technology (ICT) and the rise of online teaching during the pandemic, teachers have become a group prone to developing problematic smartphone use (PSU). Psychological need thwarting (PNT) has been shown to be closely related to PSU, psychological distress, and perceived administrative support. However, most previous studies have adopted a variable-centered approach, which may overlook the possibility that the three basic needs are not closely associated and could form distinct profiles. Therefore, this study aims to apply latent profile analysis to identify different PNT profiles and their associations with PSU, psychological distress, and perceived administrative support.

Methods:

A longitudinal survey was conducted using convenience and purposive sampling methods. The survey involved 1,642 primary and middle school teachers working in China over a two-month interval, with the first assessment in November 2021 (Time 1) and the second in January 2022 (Time 2).

Results:

The results indicate that a three-profile model, intricately based on the PNT data gathered at Time 1, is most optimal Class 1 is labeled as 'High autonomy-High competence and Moderate relatedness thwarting', Class 2 as 'High autonomy-High competence and High relatedness thwarting', and Class 3 as 'Low psychological needs thwarting'. Distinct associations were observed among the three profiles concerning PSU, psychological distress, and perceived administrative support. Specifically, in terms of PSU, the score of Class 2 was higher than Class 1, with that of Class 3 being the lowest at Time 1, while at Time 2 no significant difference was found between any two of these three groups; in terms of distress, the scores of the three profiles were arranged from high to low as Class 2, 1, and 3 at both time points; and in terms of perceived administrative support, the order was just the opposite, with 3, 1, and 2 from high to low at both Time 1 and Time 2.

Conclusion:

Notably, the consistent ranking of the three classes in terms of psychological distress and administrative support suggests a lasting influence of PNT. Future studies should explore this enduring impact further by employing additional longitudinal data sets and examining potential mediators or moderators beyond the current study's scope.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Maestros / Distrés Psicológico Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Maestros / Distrés Psicológico Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article