Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Self-Report Measures
Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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N (%)/Mean (SD) | ||
---|---|---|
Sample N = 117 | ||
Gender | Female | N = 91 (78%) |
Male | N = 26 (22%) | |
Age, Years | 31.41 (11.00; range = 18–72) | |
Education | Junior high school | N = 1 (1%) |
Senior high school | N = 40 (34%) | |
Bachelor’s | N = 31 (27%) | |
Master’s Degree | N = 32 (27%) | |
Specialization | N = 2 (2%) | |
PhD | N = 11 (9%) | |
SES | High | N = 2 (2%) |
Mean High | N = 18 (15%) | |
Mean Low | N = 33 (28%) | |
Very Low | N = 27 (23%) | |
Student | N = 37 (32%) | |
Social media mainly used | N = 94 (80%) | |
N = 89 (76%) | ||
N = 78 (67%) | ||
Skype | N = 23 (20%) | |
Messenger | N = 19 (16%) | |
Telegram | N = 11 (9%) | |
TikTok | N = 5 (4%) | |
N = 7 (6%) | ||
FaceTime | N = 7 (6%) | |
Tinder | N = 2 (2%) | |
Snapchat | N =2 (1.7%) | |
IES-R | 22.53 (11.99) | |
SMMQ | Coping | 4.44 (4.01) |
Conformity | 2.15 (2.66) | |
Enhancement | 4.62 (3.20) | |
Social Motive | 8.16 (4.69) | |
DASS-21 Time 1 | 17.11 (13.28) | |
DASS-21 Time 2 | 14.62 (13.87) |
Subsample That Participated at Both Time 1 and 2, N = 117 | ||||||
---|---|---|---|---|---|---|
1. | 2. | 3. | 4. | 5. | 6. | |
1. Distress symptom improvement | 1 | |||||
2. IES-R | 0.28 ** | 1 | ||||
3. Coping | 0.12 | 0.44 *** | 1 | |||
4. Conformity | 0.13 | 0.25 ** | 0.44 *** | 1 | ||
5. Enhancement | 0.01 | 0.17 | 0.55 *** | 0.48 *** | 1 | |
6. Social motive | 0.19 * | 0.06 | 0.27 ** | 0.45 *** | 0.38 *** | 1 |
N = 117 | Model I | Models | |||
---|---|---|---|---|---|
pip * | Post β ** | I | II | III | |
IES-R *** | 0.17 | 0 | 0 | 0 | 0 |
Coping | 0.16 | 0 | 0 | 0 | 0 |
Conformity | 0.18 | 0 | 0 | 0 | 0 |
Enhancement | 0.27 | 0 | 0 | 0 | 1 |
Social motive | 0.31 | 0 | 0 | 1 | 0 |
IES-R × Coping | 0.15 | 0 | 0 | 0 | 0 |
IES-R × Conformity | 0.16 | 0 | 0 | 0 | 0 |
IES-R × Enhancement | 0.18 | 0 | 0 | 0 | 0 |
IES-R × Social motive | 0.97 | 0.03 | 1 | 1 | 1 |
Bayesian Factor | 1 | 0.42 | 0.41 | ||
R2 | 0.14 | 0.16 | 0.16 | ||
Posterior probabilities | 0.18 | 0.08 | 0.07 |
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Buodo, G.; Moretta, T.; Santucci, V.G.; Chen, S.; Potenza, M.N. Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown. Behav. Sci. 2023, 13, 53. https://doi.org/10.3390/bs13010053
Buodo G, Moretta T, Santucci VG, Chen S, Potenza MN. Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown. Behavioral Sciences. 2023; 13(1):53. https://doi.org/10.3390/bs13010053
Chicago/Turabian StyleBuodo, Giulia, Tania Moretta, Vieri Giuliano Santucci, Shubao Chen, and Marc N. Potenza. 2023. "Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown" Behavioral Sciences 13, no. 1: 53. https://doi.org/10.3390/bs13010053
APA StyleBuodo, G., Moretta, T., Santucci, V. G., Chen, S., & Potenza, M. N. (2023). Using Social Media for Social Motives Moderates the Relationship between Post-Traumatic Symptoms during a COVID-19-Related Lockdown and Improvement of Distress after Lockdown. Behavioral Sciences, 13(1), 53. https://doi.org/10.3390/bs13010053