Figure 7 illustrates how all 20 filters performed compared to the unfiltered photo when combining the data for all three subjects. By better knowing what our patients want, we can better serve them. (C) Filtered photograph voted least flattering; filter: Hefe. Subject 3, a 58-year-old woman. 9,485 Followers, 1,891 Following, 862 Posts - See Instagram photos and videos from Triple H Tackling Academy (@triplehtacklingacademy) Social media has created a new and dynamic way for patients to communicate with doctors. The data were compiled and analyzed, separating it into the top filters in each category for each subject. Instead of lightening the face, the bright areas are widely contrasted with very dark areas, making the photo look as if the subject is hiding in shadows. Although filtering photos may have a detrimental psychological effect for some, it appears that photo filters are here to stay.

Instagram filters can be a very valuable way for patients to communicate their expectations with plastic surgeons. (C) Filtered photograph voted least flattering; filter: X-Pro. Standardized anterior view photos were taken of three Caucasian women: aged 38, 48, and 58 years. Dorfman R, Vaca E, Mahmood E, Fine N, Schierle C. McLean SA, Paxton SJ, Wertheim EH, Masters J. Oxford University Press is a department of the University of Oxford. The filters determined to be “Most Youthful” were Reyes, Rise, and Gingham. It also can make the face appear shiny or even sweaty. Standardized anterior view photos were taken of three Caucasian women: ages 38 (Figure 1), 48 (Figure 2), and 58 (Figure 3). A 2017 study of 2 million Instagram accounts revealed that 18% of all photos on Instagram use a filter, and 25% of Instagram posts with the hashtag #selfie used a filter. This is a small study with several limitations. Recent surveys are revealing a trend toward patients bringing filtered selfies to their plastic surgery consultation as a way to communicate expectations to their doctors. 150.3k Likes, 1,057 Comments - Paul "Triple H" Levesque (@tripleh) on Instagram: “#WeAreNXT #Proud” (D) Filtered photograph voted least youthful; filter: Slumber. Unfiltered photograph of subject 2, a 48-year-old woman.
Photoshopping the selfie: self photo editing and photo investment are associated with body dissatisfaction in adolescent girls, Study: the Most Popular Instagram Filters from around the World, The 10 Most Used Instagram Filters (According to Iconosquare Study). Overall, this filter results in an appearance that appears more radiant and gives photos a rich, deep, and warm tone. The American Academy of Facial Plastic and Reconstructive Surgery revealed in 2017 that facial plastic surgeons are reporting that more and more patients are bringing selfies with them to demonstrate their perceived flaws.6, Some patients are taking this to the next level and applying filters to their selfies as an attempt to illustrate their desired appearances. Written consent was obtained for each subject. The larger the orange circle, the less the filter was correlated with that attribute. A total of 78 respondents participated in the study. When combining the data for all three subjects, the filters determined to be “Most Flattering” were, in order, Juno, Lark, and Sierra. The larger the blue circle, the more the filter is correlated with that attribute. A primer on social media for plastic surgeons: what do I need to know about social media and how can it help my practice? One study revealed the top 3 most popular Instagram filters were Clarendon, Juno, and Gingham, in that order.1 But are these the filters that our patients find to be most flattering and/or cause a person to look most youthful? The filters that made the photos look “Most Youthful” were Reyes, Rise, and Gingham.

The author received no financial support for the research, authorship, and publication of this article. The respondents were all female, and male respondents may have a different opinion of what is considered “flattering” or “youthful.” Finally, this study looks at overall trends in perception, which cannot necessarily be applied to each individual. Filters can be easily added to photos to instantly increase contrast, brightness, and other photo attributes to make the photographed look more appealing. The author is a consultant/luminary for Allergan, a consultant for Endopharmaceuticals, and an investor in and consultant to Evolus. “Least Youthful” filters were Perpetua, Crema, and Aden. Unfiltered photograph of subject 1, a 38-year-old woman. An illustration of how each individual filter affected how the photo was perceived by reviewers. Subject 2, a 48-year-old woman. This is in contrast to Juno, which increased the skin’s radiance and vibrancy. A Chi-square test of independence was initially conducted, followed by a correlation analysis to determine which filters were most representative of each attribute.

This is the first published study to quantify the effects of various filters on how photos are perceived.

The filters voted “Least Flattering” were Hefe, X-Pro, and Slumber. Regression analyses of the combined data of all three subjects revealed a significant effect of filter choice on how the photo is perceived (Table 2). It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide, This PDF is available to Subscribers Only. Filtered photos can act as another way for patients to exhibit what their hopes and expectations for plastic surgery can be. The subjects’ photos were then altered using the color Instagram filters, randomly arranged using the List Randomizer app on random.org (Randomness and Integrity Services Ltd., Dublin, Ireland) and printed on photo paper. Congratulations to the…” American Academy of Facial Plastic and Reconstructive Surgery Annual Statistics. It evens out imperfections and accentuates the light colors, making the face look more crisp, clean, and smooth. For full access to this pdf, sign in to an existing account, or purchase an annual subscription. The coefficients of this model are interpreted as probabilities. Unfiltered photograph of subject 3, a 58-year-old woman. Only 3 female Caucasian subjects between the ages of 38 and 58 years were included; therefore, the results of this study only apply to this narrow demographic. By studying why these filters are chosen by patients, we can better understand what results our patients are looking for. than the original photo. It is unsurprising that this filter makes photos look most youthful because it erases wrinkles, reduces dark circles, lightens blemishes, and gives a smooth, even sheen to the face. Note: % increase refers to the additional probability that the photo will be perceived as more flattering, more youthful, etc.
It also mildly enhances the contrasts by accentuating certain dark colors.

(B) Filtered photograph voted most youthful; filter: Rise. (A) Filtered photograph voted most flattering; filter: Ludwig. Photos of the top filter for each attribute for each individual subject are presented in Figures 4-6. Therefore, the face appears more dramatic, but in the opposite manner as Juno. The term “Snapchat Dysmorphia” has even been coined to describe patients requesting plastic surgery in order to look like their filtered selfie.7 This trend is concerning, because filtered selfies can present an unattainable appearance and blur the line between reality and fantasy for some patients. But which Instagram filter is the ideal one and why? A future study involving males, different ethnicities and skin types, and more age groups will definitely yield more powerful data. A questionnaire was created, asking respondents to analyze the photos and determine which of the 21 photos (original plus 20 filtered photos) made each subject look “Most Flattering,” “Most Youthful,” “Least Flattering,” and “Least Youthful.” The respondents were comprised of the author’s patients who were waiting to be seen by the physician or physician extender without any inclusion or exclusion criteria. With more and more patients showing filtered selfies to their plastic surgeons, these photos are becoming a valuable part of communicating the patient’s expectations with his or her physician. 1.4m Posts - See Instagram photos and videos from ‘tripleh’ hashtag Using Social Media to Find a Cosmetic Surgeon Has Gone Global, American Society for Aesthetic Plastic Surgery Cosmetic Data Bank Annual Statistics. The filters determined to be “Most Flattering” were, in order, Juno, Lark, and Sierra.

Reyes, voted “Most Youthful” filter, also makes the face look brighter but tends to wash out the image. While brighter than Juno, it lacks Juno’s warmth, which may have been interpreted by respondents as neither flattering nor youthful. Instagram filters can be a very valuable way for patients to communicate their expectations with plastic surgeons. It is interesting that Clarendon, the most popular Instagram filter according to several recent surveys1,9,10 was not chosen in the top 3 in this study. Social media, particularly Instagram, is becoming a prominent part of the plastic surgeon-patient relationship. According to the annual Cosmetic Surgery National Databank Statistics from the American Society for Aesthetic Plastic Surgery,5 the number of facial injectable treatments increased by over 33% from 2017 to 2018 in patients between the ages of 18 and 34. The study data were collected from November 2018 to April 2019.

Provided concerns regarding unrealistic expectations are addressed, these photos can provide necessary avenues for expanded discussions and communication. (D) Filtered photograph voted least youthful; filter: X-Pro. The top three filters for each attribute are shown in Table 1, separated for each individual subject. The face is much more uniform in color and appears smoother, but without the vibrant and deeper tones of Juno. By analyzing the top filters of each category and how they change the photos, one may be able to deduce why they were chosen. The outcomes of dexmedetomidine and calcitriol on flap viability. (B) Filtered photograph voted most youthful; filter: Reyes. Oakland University, William Beaumont School of Medicine, Auburn Hills, MI. Distinct trends were determined when compiling the data for each individual subject.

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