The study of the relationship between addiction to social networks and marital satisfaction: A cross-sectional study in Kerman, Iran
Social Determinants of Health,
Vol. 9 (2023),
1 January 2023
,
Page 1-10
https://doi.org/10.22037/sdh.v9i1.38645
Abstract
Background: Along with the increase in the use of social networks, the relationship between couples has undergone fundamental changes compared to the past. So that the bedroom or living room in a house is no longer considered a private place. This research aimed to study the relationship between addiction to social networks and marital satisfaction in Iran.
Methods: The current study was cross sectional. The study population included 185124 married women in Kerman, Iran. Using an available sampling method, 401 participants were selected. The study instruments included: The Enrich marital satisfaction scale and addiction to mobile-based social networks questionnaire. The collected information was analyzed by descriptive and inferential statistics.
Results: The results showed that 41.1% of the respondents entered the virtual space and connected to social networks while spending time with the family. Among the respondents, 62.8% use smartphones to connect to social networks in cyberspace. Findings showed that there is a significant and negative relationship between using social networks and marital satisfaction (r = -0/51, p<0/05). Components such as time management, personal performance and self-control, and social relationships had a significant effect on marital satisfaction (p<0/05). Also, demographic variables (duration of marriage and age difference between couples) were effective on marital satisfaction.
Conclusion: The findings showed that there was a significant and negative relationship between the use of social networks and marital satisfaction. Components such as time management, personal performance and self-control, and social relations had a significant effect on marital satisfaction.
- Iran
- Marital satisfaction
- Marital status
- Social networking
- Women
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