Digitalisation anxiety: development and validation of a new scale

Increasing digitalization is associated with anxiety and depression: A Google Ngram analysis

The prevalence of anxiety disorders and depression are rising worldwide. Studies investigating risk factors on a societal level leading to these rises are so far limited to social-economic status, social capital, and unemployment, while most such studies rely on self-reports to investigate these factors. Therefore, our study aims to evaluate the impact of an additional factor on a societal level, namely digitalization, by using a linguistic big data approach. We extend related work by using the Google Books Ngram Viewer (Google Ngram) to retrieve and adjust word frequencies from a large corpus of books (8 million books or 6 percent of all books ever published) and to subsequently investigate word changes in terms of anxiety disorders, depression, and digitalization. Our analyses comprise and compare data from six languages, British English, German, Spanish, Russian, French, and Italian. We also retrieved word frequencies for the control construct "religion". Our results show an increase in word frequency for anxiety, depression, and digitalization over the last 50 years (r = .79 to .89, p < .001), a significant correlation between the frequency of anxiety and depression words (r = .98, p < .001), a significant correlation between the frequency of anxiety and digitalization words (r = .81, p < .001), and a significant correlation between the frequency of depression and anxiety words (r = .81, p < .001). For the control construct religion, we found no significant correlations for word frequency over the last 50 years and no significant correlation between the frequency of anxiety and depression words. Our results showed a negative correlation between the frequency of depression and religion words (r = -.25, p < .05). We also improved the method by excluding terms with double meanings detected by 73 independent native speakers. Implications for future research and professional and clinical implications of these findings are discussed.

Using digital interventions to reduce digitalisation-related stress-does it work?

Digitalisation entails positive and negative consequences for employees. In a longitudinal, randomized control group design over 14 days (N = 95 participants), we piloted and expected each of three app-based interventions to positively influence general well-being, well-being related to information and communication technology (ICT), and recovery compared to the control group with no intervention. The meditation intervention significantly increased general well-being (satisfaction) and recovery (detachment) compared to the control group but did not reduce general stress. The cognitive-behavioural intervention significantly increased general well-being (less stress). The informational intervention however increased the general stress level. No intervention changed the level of ICT-specific well-being. Thus, classic stress interventions conveyed via ICTs (app-based) may be effective for addressing classic stress symptoms, but not yet for new forms of stress. Future research should investigate structural differences between classic stressors and new kinds of ICT-related stressors to identify starting points for new types of interventions.