Department of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Front Public Health. 2022 Oct 19;10:1014548. doi: 10.3389/fpubh.2022.1014548. eCollection 2022.
Behavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.
A regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.
In addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 "motor impulsivity" was strongly associated with PSU2 "conflict" and PSU6 "relapse"; BASR "BAS-reward responsiveness" was strongly associated with PSU5 "withdrawal." Nodes BASR "BAS-reward responsiveness" and PSU6 "relapse" were the most central variables, while nodes BASR "BAS-reward responsiveness" and I2 "motor impulsivity" were the strongest bridge variables.
The connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.
行为抑制/激活系统(BIS/BAS)和冲动性与智能手机使用问题(PSU)有关。然而,迄今为止,尚无研究探讨 BIS/BAS 的子领域和冲动性的维度如何在一个联合框架内与 PSU 的各个组成部分相关。本研究旨在从细粒度水平上检验这三个结构之间的关系,并使用网络分析确定它们关系的中心节点和桥梁节点。
使用智能手机基于应用程序成瘾量表(SABAS)、BIS/BAS 量表和巴瑞特冲动量表第 11 版(BIS-11),分别评估 PSU、BIS/BAS 和冲动性,以估计 PSU、BIS/BAS 和冲动性社区的正则化部分相关网络,以调查变量之间的联系,并根据来自 325 名中国成年人的数据确定每个变量的预期影响和桥梁预期影响。
除了每个社区内的连接外,网络分析还显示了不同社区之间存在连接,特别是与 PSU 之间的连接。I2“运动冲动性”与 PSU2“冲突”和 PSU6“复发”强烈相关;BASR“BAS-奖励反应性”与 PSU5“戒断”强烈相关。节点 BASR“BAS-奖励反应性”和 PSU6“复发”是最中心的变量,而节点 BASR“BAS-奖励反应性”和 I2“运动冲动性”是最强的桥梁变量。
BIS/BAS 的子领域与 PSU 的组成部分之间以及冲动性的维度与 PSU 的组成部分之间的联系可能在 PSU 的发展和维持中尤为重要。这里确定的中心变量以及桥梁变量可能是预防和干预 PSU 的有希望和有效的目标。