ความชุกและความสัมพันธ์ระหว่างการติดสื่อโซเชียลมีเดียกับภาวะซึมเศร้าและ วิตกกังวลในผู้สูงอายุที่มารับบริการที่คลินิกตรวจโรคเวชศาสตร์ครอบครัว  โรงพยาบาลพระมงกุฎเกล้า

Pitan  Jindawattanawong; Kulachet  Kesakomol; Patsri  Srisuwan

Authors

Pitan Jindawattanawong Outpatient department, Phramongkutklao Hospital
Kulachet Kesakomol Outpatient department, Phramongkutklao Hospital
Patsri Srisuwan Jindawattanawong, Kulachet Kesakomol, Patsri Srisuwan Outpatient department, Phramongkutklao

Keywords:

social media addiction, depression, anxiety, older adults

Abstract

The objective of this cross-sectional study was to investigate the prevalence of social media addiction, and the association between social media addiction with depression and anxiety conditions among elderly patients. The data was collected from the 300 patients aged 60 years or older whom used medical services at the family medicine clinic in the Phramongkutklao Hospital in Bangkok, Thailand between 1^stApril 2020 and 31^stJuly 2020. The research instruments were the general information questionnaires, including the social media addiction test (S-MAT) and the Thai Hospital Anxiety and Depression Scale (Thai HADS). The data was analyzed using descriptive statistics (number, percentage, average). The relationship between social media addiction with depression and anxiety conditions were analyzed by Chi-square statistics, Pearson correlation coefficient, and logistic regression analyses. The results showed that the sample group had an average age of 66.04 ± 5.06 years (mean ± SD) , used social media on average 2.21± 1.30 hours per day. The prevalence of high-risk social media addiction, depression, and anxiety conditions were 5%, 9% and 12.3% respectively. The Pearson’s correlation coefficient between S-MAT and Thai HADS score was -0.248 (p<0.001) The logistic regression analysis showed that participants with low-risk social media addiction had an odds ratio for depression and anxiety which were 15.13 times and 6.08 times higher than those with moderate and high risk of social media addiction, respectively.

In conclusion, among the elderly, social media addiction had a statistically significant negative correlation with depression and anxiety conditions. However, other factors may influence the occurrence of depression and anxiety conditions in the elderly such as chronic illnesses, family problems, as well as economic and social problems, and so forth. Further studies on the relationship of social media addiction to depression and anxiety conditions in other elderly patients may provide a suitable approach for utilization of the social media in the elderly.

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