模仿社交媒体"手势舞"能减少焦虑吗？一项关于数字具身实践的两波交叉滞后面板分析

ORIGINAL RESEARCH article

Front. Psychol.

Sec. Media Psychology

Abstract

This study examines the longitudinal associations among hand-gesture dance participation (HGDP), self-surveillance (SS), interpersonal sensitivity (IS), and anxiety (ANX) among Chinese adults. Using a two-wave longitudinal survey with a one-month interval, data were collected from a Chinese sample at Time 1 (n = 1500) and Time 2 (n = 1003). Six competing two-wave traditional cross-lagged panel models (CLPMs) were tested in Mplus 8.3 to examine temporal associations among the four constructs. The fully crossed model (M6) showed the best fit among the alternative models based on the overall pattern of fit indices and information criteria, with acceptable absolute fit. Results showed that HGDP at T1 was negatively associated with anxiety at T2 (β = -0.128, p < .001) and interpersonal sensitivity at T2 (β = -0.158, p < .001), and showed a marginally significant negative association with self-surveillance at T2 (β = -0.051, p = .050). The variables also exhibited multidirectional cross-lagged associations rather than a single unidirectional pathway, with self-surveillance, interpersonal sensitivity, and anxiety at T1 each predicting one or more subsequent constructs at T2. These findings indicate that greater hand-gesture dance participation was temporally associated with lower subsequent anxiety and interpersonal sensitivity and, more tentatively, with lower self-surveillance. Because the HGDP index encompasses different modes of engagement, including viewing, private imitation, and recording/posting, these associations should be interpreted as associations with participation intensity rather than as evidence of a specific causal effect of embodied movement. The study highlights the importance of distinguishing heterogeneous forms of social media participation when examining their psychological correlates over time.

Keywords

Anxiety, Cross-lagged panel model, hand-gesture dance, interpersonal sensitivity, Self-surveillance, short-video

Received

11 July 2026

Accepted

28 September 2026

Copyright

© 2026 Mao, Tu and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence:

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