TY - JOUR
T1 - The Psychological Benefits of an Uncertain World
T2 - Hope and Optimism in the Face of Existential Threat
AU - Smithson, Michael
AU - Shou, Yiyun
AU - Dawel, Amy
AU - Calear, Alison L.
AU - Farrer, Louise
AU - Cherbuin, Nicolas
N1 - Publisher Copyright:
Copyright © 2022 Smithson, Shou, Dawel, Calear, Farrer and Cherbuin.
PY - 2022/3/23
Y1 - 2022/3/23
N2 - 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 positively 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 higher 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.
AB - 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 positively 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 higher 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.
KW - anxiety
KW - coronavirus
KW - depression
KW - hope
KW - optimism
KW - uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85128171085&partnerID=8YFLogxK
U2 - 10.3389/fpsyg.2022.749093
DO - 10.3389/fpsyg.2022.749093
M3 - Article
SN - 1664-1078
VL - 13
JO - Frontiers in Psychology
JF - Frontiers in Psychology
M1 - 749093
ER -