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Abstract：
OBJECTIVE: This study aims to extend the Theory of Planned Behavior with Triggers (TPBT) to improve the prediction of physical activity (PA) behavior using the TPB model.
METHODS: Questionnaires, including the TPB scale, PA rating scale (PARS-3), and triggers scale, were administered to 596 Chinese college students, and the data were analyzed using SPSS 23.0 and AMOS 24.0.
RESULTS: Subjective norm (SN), attitude (AT), and perceived behavioral control (PBC) all significantly and positively affected behavioral intention (BI). The path coefficient of PA behavior was significantly influenced by the interaction term of three types of triggers and BI, and the TPB with Triggers (TPBT) model improved the explanation rate of PA behavior.
CONCLUSIONS: Triggers have a moderating effect on the relationship between BI and PA behavior, and the TPBT model better explains college students\' PA behavior. Among the three dimensions of triggers, people are more receptive to facilitator and signal triggers than spark triggers. This has practical implications for practitioners designing interventions to promote PA among college students.
METHODS: Questionnaires, including the TPB scale, PA rating scale (PARS-3), and triggers scale, were administered to 596 Chinese college students, and the data were analyzed using SPSS 23.0 and AMOS 24.0.
RESULTS: Subjective norm (SN), attitude (AT), and perceived behavioral control (PBC) all significantly and positively affected behavioral intention (BI). The path coefficient of PA behavior was significantly influenced by the interaction term of three types of triggers and BI, and the TPB with Triggers (TPBT) model improved the explanation rate of PA behavior.
CONCLUSIONS: Triggers have a moderating effect on the relationship between BI and PA behavior, and the TPBT model better explains college students\' PA behavior. Among the three dimensions of triggers, people are more receptive to facilitator and signal triggers than spark triggers. This has practical implications for practitioners designing interventions to promote PA among college students.
摘要：
目的：本研究旨在扩展具有触发器的计划行为理论（TPBT），以改善使用TPB模型对身体活动（PA）行为的预测。
方法：问卷调查，包括TPB量表，PA等级量表（PARS-3），并触发规模，对596名中国大学生进行了管理，数据采用SPSS23.0和AMOS24.0进行分析。
结果：主观范数（SN），姿态(AT),和感知行为控制（PBC）均显着且正向影响行为意图（BI）。PA行为的路径系数受三类触发因素和BI的交互项影响显著,TPB与Triggers(TPBT)模型提高了PA行为的解释率。
结论：触发器对BI和PA行为之间的关系具有调节作用，TPBT模型更好地解释了大学生的PA行为。在触发器的三个维度中，人们比火花触发器更容易接受促进者和信号触发器。这对从业者设计干预措施以在大学生中推广PA具有实际意义。
方法：问卷调查，包括TPB量表，PA等级量表（PARS-3），并触发规模，对596名中国大学生进行了管理，数据采用SPSS23.0和AMOS24.0进行分析。
结果：主观范数（SN），姿态(AT),和感知行为控制（PBC）均显着且正向影响行为意图（BI）。PA行为的路径系数受三类触发因素和BI的交互项影响显著,TPB与Triggers(TPBT)模型提高了PA行为的解释率。
结论：触发器对BI和PA行为之间的关系具有调节作用，TPBT模型更好地解释了大学生的PA行为。在触发器的三个维度中，人们比火花触发器更容易接受促进者和信号触发器。这对从业者设计干预措施以在大学生中推广PA具有实际意义。
