Chau Anson Kai Chun, So Suzanne Ho-Wai, Sun Xiaoqi, Zhu Chen, Chiu Chui-De, Chan Raymond C K, Leung Patrick W L
Department of Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Department of Psychology, School of Educational Sciences, Hunan Normal University, Changsha, China.
Front Psychiatry. 2022 Sep 14;13:931558. doi: 10.3389/fpsyt.2022.931558. eCollection 2022.
Loneliness is a negative experience arising from a mismatch between perceived and actual social relationships. Several dimensions of loneliness have been suggested, namely intimate, relational and collective loneliness. Loneliness has been linked to poorer mental health, with its co-occurrence with depression, social anxiety, and paranoia most widely reported. While expressions of these symptoms are heterogeneous across individuals in the non-clinical population, it remains unclear how these symptoms co-occur with one another and with various dimensions of loneliness. It is also of interest how trait factors such as core schemas about self/others may moderate these relationships between loneliness and co-occurring symptoms.
A demographically diverse sample of young adults was recruited from multiple sources. The validated sample consisted of 2,089 participants (68.4% female), who completed an online survey consisting of questionnaires assessing levels of multidimensional loneliness, depression, social anxiety, paranoia, core schemas, and demographic characteristics. Latent profile analysis (LPA) was used to identify distinct profiles of loneliness and the three symptoms. Positive and negative core schemas about self and others were modeled as predictors of these profiles.
Five distinct profiles were identified. Profile 1 had low levels across all symptoms and dimensions of loneliness ( = 1,273, 60.9%). Profiles 2-5 were elevated on dimensions of loneliness, and were heightened in depression ( = 189, 9.0%), social anxiety ( = 206, 9.9%), paranoia ( = 198, 9.5%), and all symptoms ( = 223, 10.7%), respectively. Relative to Profile 1, the other four profiles scored higher on negative-self (adjusted = 1.36-1.49, < 0.001) and negative-other schemas (adjusted = 1.24-1.44, < 0.001), and lower on positive-self (adjusted = 0.82-0.85, < 0.001) and positive-other schemas (adjusted = 0.81-0.90, < 0.001).
More marked intimate, relational and collective loneliness were evident across profiles that had heightened depression, social anxiety and/or paranoia, suggesting that loneliness may serve as a general risk factor for these psychopathologies. Our findings shed light on the heterogeneity of the co-occurrence of loneliness and various mental health difficulties in non-clinical young adults. Core schemas are suggested to be putative psychological mechanisms underlying their co-occurrence and even development.
孤独是一种因感知到的社会关系与实际社会关系不匹配而产生的负面体验。人们提出了孤独的几个维度,即亲密孤独、关系孤独和集体孤独。孤独与较差的心理健康状况有关,其中它与抑郁症、社交焦虑症和偏执狂同时出现的情况报道最为广泛。虽然这些症状在非临床人群中的表现因人而异,但目前尚不清楚这些症状是如何相互并发以及与孤独的各个维度并发的。自我/他人核心图式等特质因素如何调节孤独与并发症状之间的这些关系也很值得研究。
从多个来源招募了一个在人口统计学上具有多样性的年轻成年人样本。经过验证的样本包括2089名参与者(68.4%为女性),他们完成了一项在线调查,该调查由评估多维孤独、抑郁、社交焦虑、偏执狂、核心图式和人口统计学特征水平的问卷组成。潜在剖面分析(LPA)用于识别孤独和这三种症状的不同剖面。关于自我和他人的积极和消极核心图式被建模为这些剖面的预测因素。
识别出了五个不同的剖面。剖面1在所有症状和孤独维度上的水平都较低(n = 1273,60.9%)。剖面2至5在孤独维度上有所升高,并且分别在抑郁症(n = 189,9.0%)、社交焦虑症(n = 206,9.9%)、偏执狂(n = 198,9.5%)以及所有症状(n = 223,10.7%)方面有所增强。相对于剖面1,其他四个剖面在消极自我(调整后β = 1.36 - 1.49,p < 0.001)和消极他人图式(调整后β = 1.24 - 1.44,p < 0.001)上得分更高,而在积极自我(调整后β = 0.82 - 0.85,p < 0.001)和积极他人图式(调整后β = 0.81 - 0.90,p < 0.001)上得分更低。
在抑郁症、社交焦虑症和/或偏执狂有所增强的剖面中,更明显的亲密孤独、关系孤独和集体孤独很明显,这表明孤独可能是这些精神病理学的一个普遍风险因素。我们的研究结果揭示了非临床年轻成年人中孤独与各种心理健康问题并发的异质性。核心图式被认为是它们并发甚至发展背后的潜在心理机制。