| Literature DB >> 34703718 |
Giriraj K Sharma1,2, Jamil Asaria1,2.
Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to an unforeseen surge in demand for facial plastic surgery (FPS). The objective of this study was to survey patients who pursued cosmetic FPS during COVID-19 to better understand how changes in lifestyle, digital media usage, and their facial self-image influenced their decision to pursue surgery.Entities:
Year: 2021 PMID: 34703718 PMCID: PMC8541888 DOI: 10.1097/GOX.0000000000003890
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
Survey Questions
| 1. Age | |
| 2. Gender | M/F/other |
| 3. What surgery did you have during COVID-19? (check all that apply) | Hair transplant; brow lift; eyelid surgery; fat transfer/grafting; rhinoplasty; lip lift; buccal fat removal; facelift/neck lift; chemical peel/skin resurfacing |
| 4. How did the following activities change for you during COVID-19? | Significantly decreased; decreased; no change; increased; significantly increased |
| Video calls for social purposes | |
| Video calls for occupational purposes | |
| Level of exercise | |
| Recreational/personal budget | |
| Social media usage | |
| 5. Did your use of social media increase your awareness or knowledge about FPS treatments? | Y/N |
| 6. Which social media platform did you find the most useful for learning about FPS? | Instagram; TikTok; Facebook; Twitter; not applicable |
| 7. Was there any interruption or change to your routine nonsurgical maintenance/treatments for your face (eg, at-home skin care, facials, Botox, fillers)? | Y/N/N/A |
| 8. Average number of hours spent per week on video calls (social and occupational) | <5; 5–10; 10–15; >15 h |
| 9. Type of self-facing camera and accessories used (check all that apply) | Laptop webcam eye level; laptop webcam desk level (35–40 degree upward angle); smartphone/tablet; ring light or equivalent back lighting |
| 10. Did usage of a self-facing camera or webcam cause you to notice displeasing facial features which you did not notice before? | Y/N/N/A |
| 11. Did usage of a self-facing camera or webcam cause you to notice displeasing facial features which you were previously aware of? | Y/N/N/A |
| 12. Did increased on-camera time influence you to pursue FPS? | Y/N/N/A |
| 13. The following was/were motivational factors to pursue FPS during COVID-19: | Y/N/N/A |
| Working from home and/or self-isolation | |
| Extended time to heal and recover without requiring time off from employment | |
| Extended time to heal and recover to make postsurgical changes less noticeable to family, friends, or co-workers | |
| Universal usage of face masks in public | |
| Increased time on camera for social or work purposes | |
| Increased budget (less money spent on recreation or entertainment during COVID-19) | |
| New or heightened awareness of displeasing facial features from usage of a self-facing camera or webcam | |
| New or heightened awareness of displeasing facial features from social media usage | |
| 14. Did the prolonged self-isolation and recovery time allow you to feel more comfortable with showing your face to friends, family, co-workers, or general public following surgery? | Y/N/N/A |
| 15. Did you have an increased desire to pursue FPS during COVID-19 compared to before COVID-19? | Y/N/N/A |
| 16. Overall, did you feel safe and comfortable coming to a surgery clinic to undergo FPS during COVID-19? | Uncomfortable; neutral; somewhat comfortable; very comfortable |
| 17. How concerned were you with pursuing FPS during COVID-19? | Very concerned; concerned; slightly concerned; not concerned |
| 18. During COVID-19 were you more or less aware of the following parts of your face? | More aware; unchanged; less aware |
| Hair | |
| Eyes and brows | |
| Nose | |
| Lips | |
| Lower face and neck |
N, no; N/A, not applicable; Y, yes.
Patient Demographics and Types of FPS Undergone
| n (%) | Age, Mean (SD) | |
|---|---|---|
| Gender | ||
| Female | 53 (85.5) | 30.91 (10.71) |
| Male | 8 (12.9) | 35.0 (14.63) |
| Transgender | 1 (1.6) | 27 |
| Type of surgery | ||
| Rhinoplasty | 46 (74.2) | 28.24 (7.97) |
| Facelift and neck lift | 7 (11.3) | 46.43 (15.39) |
| Blepharoplasty | 5 (8.1) | 56.00 (11.07) |
| Brow lift | 4 (6.5) | 48.25 (13.30) |
| Buccal fat excision | 5 (8.1) | 26.20 (2.77) |
| Lip lift | 7 (11.3) | 35.29 (8.40) |
| Fat grafting | 3 (4.8) | 61.00 (4.36) |
| Chemical peel | 1 (1.6) | 59.40 (4.34) |
| Hair transplant | 4 (6.5) | 38.25 (5.85) |
*Multiple surgeries may apply per patient.
Associations between Social Media Usage (Frequency, Duration, and Platform) and Change in Awareness and Knowledge of FPS
| Variable | Change in FPS Awareness from Social Media Usage |
| |
|---|---|---|---|
| No Change (n = 20) | Increase (n = 42) | ||
| Social media usage | 0.307 | ||
| Significantly decreased | 7 (36.8) | 19 (45.2) | |
| Decreased | 0 (0.0) | 3 (7.1) | |
| No change | 4 (21.1) | 3 (7.1) | |
| Increased | 8 (42.1) | 17 (40.5) | |
| No. of hours on social media | 0.649 | ||
| <5 h | 11 (55.0) | 23 (54.8) | |
| 5-10 h | 2 (10.0) | 8 (19.0) | |
| 10-15 h | 2 (10.0) | 5 (11.9) | |
| >15 h | 5 (25.0) | 6 (14.3) | |
| Social media network | 0.042 | ||
| 3 (17.6) | 0 (0.0) | ||
| 13 (76.5) | 40 (95.2) | ||
| TikTok | 1 (5.9) | 2 (4.8) | |
Associations were tested using Fisher’s exact tests; counts are presented with column percentages.
Associations between Change in Desire to Pursue FPS during COVID-19 and Lifestyle Changes, Social Media Usage, and Awareness of Facial Features
| Variable | Increased Desire to Pursue FPS during COVID-19 |
| |
|---|---|---|---|
| No (n = 26) | Yes (n = 36) | ||
| Lifestyle changes during COVID-19 | |||
| Video conferencing, social | 0.464 | ||
| Significantly decreased | 0 (0.0) | 1 (2.8) | |
| Decreased | 2 (8.0) | 0 (0.0) | |
| No change | 4 (16.0) | 5 (13.9) | |
| Increased | 9 (36.0) | 12 (33.3) | |
| Significantly increased | 10 (40.0) | 18 (50.0) | |
| Video conferencing, occupational | 0.472 | ||
| Decreased | 2 (8.3) | 0 (0.0) | |
| No change | 4 (16.7) | 8 (22.9) | |
| Increased | 7 (29.2) | 11 (31.4) | |
| Significantly increased | 11 (45.8) | 16 (45.7) | |
| Level of exercise | 0.076 | ||
| Significantly decreased | 4 (15.4) | 5 (13.9) | |
| Decreased | 9 (34.6) | 8 (22.2) | |
| No change | 9 (34.6) | 6 (16.7) | |
| Increased | 3 (11.5) | 15 (41.7) | |
| Significantly increased | 1 (3.8) | 2 (5.6) | |
| Maintenance of a healthy diet | 0.717 | ||
| Significantly decreased | 4 (16.0) | 2 (5.6) | |
| Decreased | 6 (24.0) | 8 (22.2) | |
| No change | 9 (36.0) | 13 (36.1) | |
| Increased | 5 (20.0) | 10 (27.8) | |
| Significantly increased | 1 (4.0) | 3 (8.3) | |
| Personal budget (recreational) | 0.104 | ||
| Significantly decreased | 4 (16.7) | 1 (2.9) | |
| Decreased | 7 (29.2) | 8 (22.9) | |
| No change | 7 (29.2) | 15 (42.9) | |
| Increased | 3 (12.5) | 10 (28.6) | |
| Significantly increased | 3 (12.5) | 1 (2.9) | |
| Social media usage | 0.790 | ||
| Significantly decreased | |||
| Decreased | 2 (8.0) | 1 (2.8) | |
| No change | 3 (12.0) | 4 (11.1) | |
| Increased | 9 (36.0) | 16 (44.4) | |
| Significantly increased | 11 (44.0) | 15 (41.7) | |
| No. of hours on social media | 0.901 | ||
| <5 h | 15 (57.7) | 19 (52.8) | |
| 5-10 h | 3 (11.5) | 7 (19.4) | |
| 10-15 h | 3 (11.5) | 4 (11.1) | |
| >15 h | 5 (19.2) | 6 (16.7) | |
| Increased awareness of FPS via social media (yes) | 13 (50.0) | 29 (80.6) | 0.015 |
| Awareness of facial features during COVID-19 | |||
| Hair | 0.001 | ||
| Less aware | 0 (0.0) | 1 (2.8) | |
| More aware | 2 (7.7) | 17 (47.2) | |
| Unchanged | 24 (92.3) | 18 (50.0) | |
| Eyes and brows | 0.099 | ||
| Less aware | 0 (0.0) | 2 (5.6) | |
| More aware | 7 (26.9) | 17 (47.2) | |
| Unchanged | 19 (73.1) | 17 (47.2) | |
| Nose | 0.192 | ||
| Less aware | 0 (0.0) | 1 (2.8) | |
| More aware | 12 (46.2) | 23 (63.9) | |
| Unchanged | 14 (53.8) | 12 (33.3) | |
| Lips | 0.015 | ||
| Less aware | 2 (8.0) | 1 (2.8) | |
| More aware | 6 (24.0) | 21 (58.3) | |
| Unchanged | 17 (68.0) | 14 (38.9) | |
| Lower face and neck | 0.551 | ||
| Less aware | 2 (7.7) | 1 (2.9) | |
| More aware | 7 (26.9) | 13 (38.2) | |
| Unchanged | 17 (65.4) | 20 (58.8) | |
Associations were tested using Fisher’s exact tests; counts are presented with column percentages.