Network analysis of the relationship between social support and quality of life in patients with epilepsy
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Updated: Jul 11, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Kento Takahashi1, Mayu Fujikawa2, Takashi Ueno3
1Graduate School of Education, Tohoku University, Sendai, Japan.
Background:
Identifying important types of social support for patients with epilepsy is valuable to construct an effective system for support in daily life. However, previous studies have been inconsistent in identifying the most important types of social support for better quality of life (QOL) due to the high correlations between the social support factors. The present study employed network visualization analysis to identify the relationships between QOL and types of social support.
Methods:
Two hundred and eighty-three patients with epilepsy (age range: 18 to 75 years) completed questionnaires of the Medical Outcomes Study Social Support Survey (MOS-SSS) and the Quality of Life in Epilepsy Inventory-31-Problems in the epilepsy monitoring unit at Tohoku University. The MOS-SSS was established to measure the four types of social support including emotional/informational support, tangible support, affectionate support, and positive social interaction. Our network visualization analysis represented the entire structure of the interrelationships between the four functions of social support and QOL. In addition, the relative importance of each function of social support were estimated by the centrality indices using three commonly used centrality indices: strength, betweenness, and closeness.
Results:
The visualized network showed that positive social interaction and emotional/informational support were directly associated with QOL, whereas tangible support and affectionate support were not. Positive social interaction had the highest value for all three centrality indices and affectionate support had the second highest. Therefore, positive social interaction had the strongest connection to the other functions of support.
Discussion:
Our network analysis and centrality indices findings showed that positive social interaction is the most important within the network of four types of social support and QOL. The emotional informational function is also important for directly improving QOL but is less related to the other functions. The affectionate function might be an indicator of whether a patient has a foundational relationship that leads to other functions of support.
Conclusion:
These results showed the importance of increasing positive social interaction in the social environment of patients with epilepsy. Therefore, practitioners need to encourage patients with epilepsy to increase their positive social interactions such as doing something enjoyable with others or someone to associate for relaxation to ensure high QOL. Connections outside the epilepsy support are important, such as having fun regardless of epilepsy, rather than only providing emotional or tangible support for epilepsy.
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