【作者】 吴静涛； 季靖岚； 迟晓丹； 胡军；

【Author】 Jingtao Wu;Jinglan Ji;Xiaodan Ch;Jun Hu;

【机构】 乐山师范学院藏羌彝走廊体质健康促进研究中心；

【摘要】 目的:通过交叉滞后回归分析和平行潜变量增长模型进行分析,全面考察大学生余暇体育锻炼与手机低头行为的动态发展关系和轨迹特征以及相互作用机制。方法:采用简单抽样方法,主要运用体育锻炼等级量表和手机低头行为问卷进行被试,对585名大学生进行为期1年3次的追踪调研。结果:(1)前后3个时段的余暇体育锻炼水平与大学生低头行为的相关系数矩阵均表现出显著负相关,对应被试阶段相关系数较为稳定(r系数位于-0.24～-0.28之间),其他时段呈衰减状态(r系数位于-0.12～-0.17之间);(2)大学生余暇体育锻炼与手机低头行为的交叉滞后效应,模型整体拟合指数良好,x2/df=2.07、p=0.04、CFI=0.93、TLI=0.95、RMSEA=0.02、SRMR=0.05;(3)观测余暇体育锻炼与大学生低头行为的潜变量平行发展趋势,将性别作为协变量加以控制,模型整体拟合指数达标,x2/df=1.72、p=0.02、CFI=0.93、TLI=0.91、RMSEA=0.04、SRMR=0.03,初始余暇体育锻炼水平越高的群体,其低头行为越少,初始余暇体育锻炼水平显著负向预测余暇体育锻炼的增长速率(β=-0.10,P<0.001),初始体育锻炼水平高的个体,其后期的增长速率越慢,呈现出补偿效应,初始低头行为显著正向影响低头行为的增长速率,个体低头行为越严重后期发展速度则越快(β=-0.18,P<0.001),起到保护作用。结论:较高的手机低头行为可能会遏制后续体育锻炼水平的增高,为大学生手机低头行为的研究提供了新的实证参考。更多还原

【Abstract】 Objective:This study aims to comprehensively examine the dynamic development relationship,trajectory characteristics,and interaction mechanisms between leisure physical exercise and smartphone bending behavior among college students through cross-lagged regression analysis and parallel latent growth models.Methods:A simple sampling method was used.The main tools used were a physical exercise grading scale and a questionnaire on smartphone bending behavior.A total of 585 college students were tracked and surveyed three times over a period of one year.Results:(1) Leisure physical exercise levels were significantly negatively correlated with college students’ smartphone bending behavior at all three stages,with the correlation coefficients for corresponding stages being relatively stable(r values between-0.24 and-0.28) and showing a decrease at other stages(r values between-0.12 and-0.17);(2) The cross-lagged effect of leisure physical exercise and smartphone bending behavior among college students showed good overall model fit indices:x2/df=2.07,p=0.04,CFI=0.93,TLI=0.95,RMSEA=0.02,SRMR=0.05;(3) Observing the parallel development trend of latent variables of leisure physical exercise and smartphone bending behavior among college students,with gender controlled as a covariate,the overall model fit indices met the standard:x2/df=1.72,p=0.02,CFI=0.93,TLI=0.91,RMSEA=0.04,SRMR=0.03.The higher the initial level of leisure physical exercise,the less smartphone bending behavior was observed.The initial level of leisure physical exercise significantly negatively predicted the growth rate of leisure physical exercise(β=-0.10,P<0.001),indicating a compensatory effect:individuals with a high initial level of physical exercise had a slower growth rate later.The initial level of smartphone bending behavior significantly positively affected the growth rate of smartphone bending behavior(β=-0.18,P<0.001).Individuals with more severe smartphone bending behavior had a faster development speed later,playing a protective role.Conclusion:Higher levels of smartphone bending behavior might inhibit the subsequent increase in physical exercise levels,providing new empirical references for the study of smartphone bending behavior among college students.更多还原