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This study aims to investigate the association between the use different information sources to obtain information about the COVID-19 pandemic and symptoms of psychopathology (i.e., depression and anxiety).
Research Question:
How central are different sources of information used to obtain knowledge about the COVID-19 pandemic in network along with depressive and anxiety symptoms? Which sources of information are most strongly connected to different symptoms of depression and anxiety? Staying away from information will be measured in the present study. As avoidance is a type of safety behavior in anxiety disorders, we are further eager to investigate the centrality of this behavior in the network. Furthermore, multiple studies using latent-variable paradigms have established a relationship between sum-scores of depression and social anxiety use in general. We are further interested in examining this potential link more thoroughly and detailed in the present network study. The findings of this study, although they will be cross-sectional and require further examination in studies with temporal data structure, will be an important and interesting starting point giving initial ideas about potential mechanisms that may be involved in use of information sources in pandemics and mental health
Full description
Research Question 1:
How central are different sources of information used to obtain knowledge about the COVID-19 pandemic in network along with depressive and anxiety symptoms? Which sources of information are most strongly connected to different symptoms of depression and anxiety?
Staying away from information will be measured in the present study. As avoidance is a type of safety behavior in anxiety disorders, the investigators are further eager to investigate the centrality of this behavior in the network. Furthermore, multiple studies using latent-variable paradigms have established a relationship between sum-scores of depression and social anxiety use in general. The investigators are further interested in examining this potential link more thoroughly and detailed in the present network study. The findings of this study, although they will be cross-sectional and require further examination in studies with temporal data structure, will be an important and interesting starting point giving initial ideas about potential mechanisms that may be involved in use of information sources in pandemics and mental health.
Statistical analysis:
The estimated network will consist of 23 items (9: PHQ-9; 7: GAD-7; 7: information sources to obtain information about COVID-19). The network will be estimated using the R package qgraph (Epskamp et al., 2012). Network stability and accuracy tests will be conducted using R package bootnet (Epskamp, et al., 2018). An undirected partial correlation network will be estimated, resulting in associations between each pair of symptoms controlling for all other associations among symptoms. Centrality indices will be reported. The appropriate correlation method will be applied following an assessment of the data (e.g., with regards to possible skewness).
The network will further be regularized using Graphical Least Absolute Shrinkage and Selection Operator (GLASSO), with Extended Bayes Information Criterion (EBIC). The tuning parameter will be set to 0.5, as is recommended practice. Centrality table and plots will be depicted, and difference test of edges conducted.
Additionally, the investigators will investigate differences in network structure across major demographic subgroups in the sample (e.g., gender). All analyses and questions addressed in the forthcoming paper that are not pre-specified in this pre-registered protocol will be defined as exploratory.
The sources of information include: 1) National television and radio channels; 2) national and regional, and local newspapers; 3) Use of social media for information; 4) use of blogs, podcasts, forums or other Internet sources; 5) information obtained from peers (i.e., friends and family); 6) Other sources of information; 7) actively staying away from information.
Inference criteria:
p < 0.05 to determine significance.
Sample size and power calculation:
Following power analysis guidelines by Fried & Cramer (2017), it is recommended that the number of participants are three times larger than the number of estimated parameters. However, more conservative recommendations by Roscoe (1975) for multivariate research, recommends sample size that is ten times larger than the number of estimated parameters. The network to be constructed for this study consists of 7 anxiety items (GAD-7), 9 depression symptom items (PHQ-9), and the 7 pre-specified items above concerning medium of information and extent of use. Consequently, the network consists of 23 items. 23x(23-1)/2 x 3 = at least 759 participants (according to guidelines by Fried & Cramer, 2017). Thus, following these two approaches respectively, between 759 to 2530 participants are required. Data will be collected for three weeks, and participants are based on a representative sample of Norwegian adults with equal opportunity to partake in the study following providing digital consent.
Missing data:
The TSD system (Services for Sensitive Data), a platform used in Norway to store person-sensitive data verifies participants officially through a kind of national ID number to give them full right to withdraw their data at any time, following the European GDPR (General Data Protection Regulation) laws. Accordingly, participants are allowed to withdraw their own data at any time. The survey includes mandatory fields of response. Participation is voluntarily, and withdrawal of any provided data is possible at any moment. The investigators do not expect participants to withdraw their data and thus expect no missing data. However, if participants do withdraw their data, the investigators will conduct state-of-art missing data analysis and investigate whether data is missing at random.
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Omid V. Ebrahimi, Double PhD Candidate
Data sourced from clinicaltrials.gov
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