Department of Psychological and Brain Sciences, Washington University in St. Louis, Missouri, USA.
Br J Psychol. 2020 Feb;111(1):55-69. doi: 10.1111/bjop.12386. Epub 2019 Mar 14.
Recent theorizing has implicated affect regulation as central to the experience of homesickness. Conceptualized as grief due to losing social connections with close others when relocating, homesickness is associated with poor emotional and social adjustment. The present study examined how mood regulation and relationship quality - at home and in college - predict homesickness and negative affect among college students (N = 168). We assessed 16 mood regulation strategies as well as relationship quality each week over the first college term. As predicted, time-lagged multilevel analyses demonstrate that avoidance-oriented strategies were helpful in the short term (the following week), but chronic avoidance (across the college term) predicted higher levels of homesickness. Approach-oriented regulatory strategies did not predict homesickness, however. Relationship quality demonstrated differential main effects at the between-person level but did not predict fluctuations in homesickness from week to week. Across the college term, closer ties at home predicted greater homesickness, whereas closer ties in college predicted lower homesickness. Notably, there were distinct effects of mood regulation for homesickness compared to negative affect. The present study is among the first to examine effects of mood regulation on homesickness longitudinally, suggesting it is important to consider the type of regulation strategies being used as well as the time scale.
最近的理论研究表明,情绪调节是思乡的核心体验。想家被概念化为由于与亲近的人在搬迁时失去社会联系而产生的悲伤,它与情绪和社交适应不良有关。本研究考察了情绪调节和关系质量(在家庭中和在大学中)如何预测大学生的思乡和负性情绪(N=168)。在大学的第一个学期,我们每周评估 16 种情绪调节策略和关系质量。正如预测的那样,滞后的多层次分析表明,回避策略在短期内(下一周)是有帮助的,但长期回避(整个大学学期)预测了更高水平的思乡。然而,以接近为导向的调节策略并不能预测思乡。关系质量在个体间水平上表现出不同的主要影响,但不能预测每周思乡情绪的波动。在整个大学学期,与家庭的紧密联系预测了更高的思乡,而与大学的紧密联系则预测了更低的思乡。值得注意的是,情绪调节对思乡的影响与对负性情绪的影响有明显的区别。本研究是首批纵向研究情绪调节对思乡影响的研究之一,表明考虑所使用的调节策略的类型和时间尺度很重要。