Susanne Buecker

Although theory emphasizes that loneliness fluctuates in everyday life, most previous studies focused on the general and stable tendency of feeling lonely. In the present study, we used daily diary data collected over two 4-week periods ( N 1 = 3,309; N 2 = 907) to examine different indicators of temporal dynamics of loneliness in everyday life and compare them with temporal dynamics of positive and negative affect. Moreover, we examined associations between temporal dynamics of loneliness and psychopathological symptoms (i.e., stress, anxiety, depression). We found large similarities in the variability, instability, and inertia of loneliness and affect. Moreover, all indicators of temporal dynamics of loneliness were related to psychopathological symptoms. However, these indicators had little added value above the average state and trait level of loneliness in predicting psychopathology. We discuss the potential of assessing the short-term dynamics of loneliness for the early detection of mental health issues.