The more self-control, the more anxious?- A network analysis study of the relationship between self-control and psychological anxiety among Chinese university students.

IF 2.7 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY BMC Psychology Pub Date : 2024-11-12 DOI:10.1186/s40359-024-02099-5
Meilin Zhang, Jienite Pan, Wuxiang Shi, Yinghua Qin, Botang Guo
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Abstract

Introduction: With the growing prevalence of anxiety symptoms among university students, self-control is an important potential influence. This study aims to understand the network structure of self-control and anxiety, and to identify the core symptoms within this network. It will provide a theoretical basis for the prevention and intervention of anxiety symptoms in university students.

Method: We used network analysis to study anxiety and self-control in 3,792 university students from six schools in Heilongjiang Province, China. We checked for linear connections in the networks using a restricted cubic spline. We conducted the analyses and made graphs using R software.

Results: (i) The total sample network showed that higher levels of self-control in university students were associated with lower anxiety levels and were validated by the restrictive cubic spline. (ii) There was the strongest negative correlation (edge weight = -0.42) between Without thinking (SC7) and Panic (A5), and the edge weight coefficients of this self-control component and anxiety symptoms were greater than those of other self-control components. (iii) Physical exertion (A6) and Scared (A7) were identified as the core symptoms of the overall network, with expected influence of 1.08 and 1.08 (Z-score). (iv) A significant difference was observed between the anxiety positive network structure and the total sample network structure, with the strongest positive correlation between Iron self-control (SC3) and Breathing difficulty (A2) (edge weight = 0.22), with the strongest negative correlation between Certain things (SC2) and Situations (A4) (edge weight = -0.35). (v) The self-control component Iron self-control (SC3) had only one positive edge in the rural network, and only two positive edges in not one child network.

Conclusion: The present study offered a new perspective on the relationship between self-control and anxiety using network analysis for the first time. The control component Without thinking (SC7) was an important concept influencing the negative correlation of anxiety, and Physical exertion (A6) and Scared (A7) were core symptoms in the total network. Heterogeneity analyses showed a tendency for the more self-controlled to be more anxious in the anxiety positive sample. These results may be a potential target for preventing and intervening anxiety in university students.

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自制力越强,越焦虑?--中国大学生自制力与心理焦虑关系的网络分析研究。
简介随着大学生焦虑症状的日益普遍,自我控制是一个重要的潜在影响因素。本研究旨在了解自我控制与焦虑的网络结构,并找出该网络中的核心症状,为大学生焦虑症状的预防和干预提供理论依据。它将为大学生焦虑症状的预防和干预提供理论依据:我们采用网络分析法研究了黑龙江省六所学校 3792 名大学生的焦虑和自我控制情况。我们使用受限立方样条线检验了网络中的线性联系。结果:(i) 总样本网络显示,大学生较高的自我控制水平与较低的焦虑水平相关,并得到了限制性三次样条的验证。(ii) 不思考(SC7)与恐慌(A5)之间存在最强的负相关(边缘权重=-0.42),且该自我控制成分与焦虑症状的边缘权重系数大于其他自我控制成分。(iii) 体力透支(A6)和害怕(A7)被确定为整个网络的核心症状,其预期影响分别为 1.08 和 1.08(Z-score)。(iv) 焦虑正向网络结构与总样本网络结构之间存在明显差异,铁自我控制(SC3)与呼吸 困难(A2)之间的正相关性最强(边缘权重=0.22),某些事情(SC2)与情境 (A4)之间的负相关性最强(边缘权重=-0.35)。(v) 自我控制部分铁的自我控制(SC3)在农村网络中只有一条正边,在非一个儿童网络中只有两条正边:本研究首次利用网络分析法对自我控制与焦虑之间的关系提供了一个新的视角。不思考的控制成分(SC7)是影响焦虑负相关的重要概念,体力消耗(A6)和害怕(A7)是整个网络中的核心症状。异质性分析表明,在焦虑阳性样本中,自我控制能力越强的人越焦虑。这些结果可能是预防和干预大学生焦虑症的潜在目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Psychology
BMC Psychology Psychology-Psychology (all)
CiteScore
3.90
自引率
2.80%
发文量
265
审稿时长
24 weeks
期刊介绍: BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.
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