Macià Dídac, Cattaneo Gabriele, Solana Javier, Tormos José M, Pascual-Leone Alvaro, Bartrés-Faz David
Departament de Medicina, Facultat de Medicina i Ciències de la Salut i Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
Oficina de Recerca i Innovació, Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Front Psychol. 2021 Feb 24;12:627547. doi: 10.3389/fpsyg.2021.627547. eCollection 2021.
Loneliness is the subjective distress of feeling alone and has a strong impact on wellbeing and health. In addition to well-known predictors like isolation and poor health, a better understanding of the psychological determinants of loneliness would offer effective targets for future complementary interventions. In this cross-sectional observational study ( = 2,240), we compared the explanatory power of several important risk factors of loneliness with the affective, motivational, and cognitive aspects of the Meaning in Life (MiL) construct. Different nested linear models were compared including socio-demographic, lifestyles, social-connectedness, and self-rated health variables, to assess the overlapping and non-overlapping explanatory power of each of them. Health status and MiL were found to be the most important predictors of loneliness, followed by social connectedness and, with a much lower weight, lifestyles, and socio-demographic factors. Within the MiL factor, the most cognitive component, sense of coherence, had a greater explanatory power than the more affective and motivational ones. Reduced MiL, the capacity of an individual to attach "value and significance" to life, is a crucial predictor to the feeling of loneliness. These results suggest that programs aiming to combat loneliness should go well beyond situational interventions and include more cognitive, value-centered interventions that enable individuals to define and pursue a meaningful vital plan.
孤独是一种感到孤单的主观痛苦,对幸福感和健康有着强烈影响。除了诸如孤立和健康状况不佳等众所周知的预测因素外,更好地理解孤独的心理决定因素将为未来的补充干预措施提供有效的目标。在这项横断面观察性研究(n = 2240)中,我们将孤独的几个重要风险因素的解释力与生命意义(MiL)结构的情感、动机和认知方面进行了比较。比较了不同的嵌套线性模型,包括社会人口统计学、生活方式、社会联系和自评健康变量,以评估它们各自的重叠和非重叠解释力。健康状况和生命意义被发现是孤独的最重要预测因素,其次是社会联系,而生活方式和社会人口统计学因素的权重则低得多。在生命意义因素中,最具认知性的成分,即连贯感,比更具情感性和动机性的成分具有更大的解释力。生命意义的降低,即个体赋予生活“价值和意义”的能力,是孤独感的关键预测因素。这些结果表明,旨在对抗孤独的项目应该远远超越情境干预,包括更多以认知、价值为中心的干预措施,使个体能够定义并追求有意义的生活计划。