Smithson Michael, Shou Yiyun, Dawel Amy, Calear Alison L, Farrer Louise, Cherbuin Nicolas
Research School of Psychology, The Australian National University, Canberra, ACT, Australia.
Centre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, ACT, Australia.
Front Psychol. 2022 Mar 23;13:749093. doi: 10.3389/fpsyg.2022.749093. eCollection 2022.
We examine how prior mental health predicts hopes and how hopes predict subsequent mental health, testing hypotheses in a longitudinal study with an Australian nation-wide adult sample regarding mental health consequences of the COVID-19 outbreak during its initial stage. Quota sampling was used to select a sample representative of the adult Australian population in terms of age groups, gender, and geographical location. Mental health measures were selected to include those with the best psychometric properties. Hypotheses were tested using generalized linear models with random intercepts, with the type of GLM determined by the nature of the dependent variable. Greater anxiety, depression, distress, and loneliness predict less hope, but impaired quality of life and stress predict hopes of gaining new skills. Distress and loneliness predict hopes for social connectedness and an improved society, suggesting that predictors of hope depend on what is hoped for. These findings suggest the need for more nuanced theories of hope. Greater hopes for societal improvement predict lower anxiety, depression, distress, and impaired quality of life, but greater hopes for skills and better mental health predict levels of these covariates. Moreover, when relevant prior psychological states are more intense, the impact of hope state declines. These findings indicate that the consequences of hope are heterogeneous, and suggest a possible explanation for the seemingly inconsistent therapeutic effectiveness of raising hope.
我们研究了先前的心理健康状况如何预测希望,以及希望如何预测随后的心理健康状况,并在一项纵向研究中对假设进行了检验,该研究以澳大利亚全国范围内的成年人为样本,探讨了新冠疫情初期其心理健康后果。采用配额抽样方法,根据年龄组、性别和地理位置选取了一个能代表澳大利亚成年人口的样本。选择了具有最佳心理测量特性的心理健康测量方法。使用具有随机截距的广义线性模型对假设进行检验,广义线性模型的类型由因变量的性质决定。更高程度的焦虑、抑郁、痛苦和孤独预示着希望水平较低,但生活质量受损和压力预示着获得新技能的希望。痛苦和孤独预示着对社会联系和社会改善的希望,这表明希望的预测因素取决于所希望的内容。这些发现表明需要更细致入微的希望理论。对社会改善抱有更高希望预示着焦虑、抑郁、痛苦程度降低以及生活质量受损程度减轻,但对技能提升和更好心理健康抱有更高希望预示着这些协变量的水平。此外,当相关的先前心理状态更为强烈时,希望状态的影响就会减弱。这些发现表明希望的后果是异质性的,并为提高希望看似不一致的治疗效果提供了一种可能的解释。