Analysis and Interpretation of Google Trends Data on Public Interest in Cosmetic Body Procedures

2019 ◽  
Vol 40 (1) ◽  
pp. NP34-NP43 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Daniel G Vail ◽  
Gordon K Lee ◽  
...  
Keyword(s):  
Temporal Variations ◽  
Marketing Strategies ◽  
Google Trends ◽  
Data Set ◽  
Search Terms ◽  
Search Volume ◽  
Significant Relationships ◽  
American Society ◽  
Liposuction Surgery ◽  
Lower Body Lift

Abstract Background Several online resources such as Google Trends (GT) enable plastic surgeons to track search volume trends for cosmetic procedures. Understanding these data may allow surgeons to better anticipate patients’ interests and meet their needs. Objectives The authors sought to evaluate the correlation between GT search volumes and annual surgery volumes. Methods Search terms were generated using the “related queries” feature of GT. Data were obtained for the terms breast augmentation, buttock augmentation, buttock implants, buttock lift, calf augmentation, liposuction, lower body lift, thighplasty, abdominoplasty, and brachioplasty from January 2004 to November 2017. Annual volumes for respective procedures were obtained from statistics reports of the American Society of Plastic Surgeons (ASPS) from 2006 to 2017 and American Society of Aesthetic Plastic Surgery (ASAPS) from 2004 to 2017. Correlations were evaluated applying univariate linear regression of GT data to both ASPS and ASAPS data. Results Geographical and temporal variations in search volume were detected during the study. Search volume trends that correlated significantly with both ASPS and ASAPS surgery volume trends were: “butt implants surgery” (ASPS: R2 = 0.366, P = 0.049; ASAPS: R2 = 0.380, P = 0.019); “liposuction” (ASPS: R2 = 0.690, P = 0.002; ASAPS: R2 = 0.578, P = 0.002); and “liposuction surgery” (ASPS: R2 = 0.672, P = 0.002; ASAPS: R2 = 0.476, P = 0.006). Several search terms demonstrated no significant relationships, negative correlations, or were significant with only one database. Conclusions This study characterizes GT as a convenient and informative data set for plastic surgeons to analyze patient interest in cosmetic body-sculpting procedures. GT represents a useful instrument for tailoring marketing strategies and addressing the needs of our patient population.

scholarly journals Google Trends as a Tool for Evaluating Public Interest in Facial Cosmetic Procedures

2018 ◽  
Vol 39 (8) ◽  
pp. 908-918 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Daniel G Vail ◽  
Rahim Nazerali ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Univariate Analysis ◽  
Temporal Trends ◽  
Temporal Variations ◽  
Google Trends ◽  
Forehead Lift ◽  
Search Terms ◽  
Search Volume ◽  
High Utility ◽  
American Society

Abstract Background The utility of Google Trends (GT) in analyzing worldwide and regional patient interest for plastic surgery procedures is becoming invaluable to plastic surgery practices. GT data may offer practical information to plastic surgeons pertaining to seasonal and geographic trends in interest in facial cosmetic procedures. Objectives The authors sought to analyze geographic and temporal trends between GT search volumes and US surgery volumes using univariate analysis. Methods The “related queries” feature of GT generated potential search terms. GT data were compiled for cheek implants, mentoplasty, otoplasty, blepharoplasty, rhytidectomy, forehead lift, hair transplantation, lip augmentation, lip reduction, platysmaplasty, and rhinoplasty from January 2004 to December 2017. Annual volumes for respective procedures were obtained from annual statistics reports of the American Society of Plastic Surgeons (ASPS) from 2006 to 2017 and American Society of Aesthetic Plastic Surgery (ASAPS) from 2004 to 2017. Results Geographical and temporal variations in search volume were detected during the study. Search volume trends that correlated significantly with both ASPS and ASAPS surgery volume trends were: “eyelid plastic surgery” (ASPS R2 = 0.336, P = 0.048; ASAPS R2 = 0.661, P = 0.001); “facelift” (ASPS R2 = 0.767, P ≤ 0.001; ASAPS R2 = 0.767, P = 0.001); “lip injections” (ASPS R2 = 0.539, P = 0.007; ASAPS R2 = 0.461, P = 0.044); and “rhinoplasty surgery” (ASPS R2 = 0.797, P ≤ 0.001; ASAPS R2 = 0.441, P = 0.01). Several search terms demonstrated no significant relationships or were significant with only one database. Conclusions GT may provide a high utility for informing plastic surgeons about the interest expressed by our patient population regarding certain cosmetic search terms and procedures. GT may represent a convenient tool for optimizing marketing and advertising decisions.

Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Google Trends

2019 ◽  
Vol 40 (11) ◽  
pp. 1253-1262 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Matthew J Parham ◽  
Rahim Nazerali
Keyword(s):  
Hyaluronic Acid ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Search Term ◽  
Data Set ◽  
Fat Transfer ◽  
Laser Hair Removal ◽  
Search Terms ◽  
Search Volume

Abstract Background Google Trends (GT) provides cost-free, customizable analyses of search traffic for specified terms entered into Google’s search engine. GT may inform plastic surgery marketing decisions and resource allocation. Objectives The aim of this study was to determine GT’s utility in tracking and predicting public interest in nonsurgical cosmetic procedures and to examine trends over time of public interest in nonsurgical procedures. Methods GT search volume for terms in 6 ASPS and ASAPS nonsurgical procedure categories (Botox injections, chemical peel, laser hair removal, laser skin resurfacing, microdermabrasion and soft tissue fillers [subcategories: collagen, fat, and hyaluronic acid]) were compared with ASPS and ASAPS case volumes for available dates between January 2004 and March 2019 with the use of univariate linear regression, taking P < 0.01 as the cutoff for significance. Results Total search volume varied by search term within the United States and internationally. Significant positive correlations were demonstrated for 17 GT terms in all 6 ASPS and ASAPS categories: “Botox®,” “collagen injections,” “collagen lip injections” with both databases; and “chemical skin peel,” “skin peel,” “acne scar treatment,” “CO2 laser treatment,” “dermabrasion,” “collagen injections,” “collagen lip injections,” “fat transfer,” “hyaluronic acid fillers,” “hyaluronic acid injection,” “hyaluronic acid injections,” “Juvederm®,” and “fat transfer” with just 1 database. Many search terms were not significant, emphasizing the need for careful selection of search terms. Conclusions Our analysis further elaborates on recent characterization of GT as a powerful and intuitive data set for plastic surgeons, with the potential to accurately gauge global and national interest in topics and procedures related to nonsurgical cosmetic procedures.

scholarly journals Internet search results correlate with seasonal variation of sarcoidosis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amanda Stanton ◽  
Steven J. Katz
Keyword(s):  
Seasonal Variation ◽  
Statistical Significance ◽  
Epidemiologic Studies ◽  
Google Trends ◽  
Medical Diagnoses ◽  
Search Terms ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Relative Search Volume ◽  
Low Prevalence

Abstract Background The etiology and pathophysiology of sarcoidosis remains unclear, with epidemiologic studies limited by its relatively low prevalence. The internet has prompted patients to seek information about medical diagnoses online; Google Trends provides access to an anonymized version of this data, which has a new role in epidemiology. We hypothesize that there is seasonal variation in the relative search interest of sarcoidosis, which would suggest seasonal variation in the incidence of sarcoidosis. Methods Google Trends was used to assess the relative search volume from 2010 to 2020 for “sarcoidosis” and “sarcoid” in 7 countries. ANOVA with multiple comparisons was performed to compare the mean relative search volume by month and by season for each country, with a p-value less than 0.05 indicating statistical significance. Results Our analysis revealed a significant seasonal variation in search popularity in 4 of the 7 countries and in the Northern Hemispheric countries combined. Direct comparison showed search terms to be more popular in spring, specifically March & April, than in the winter. Southern Hemisphere data was not statistically significant but showed a trend towards a nadir in December and a peak in September and October. Conclusions Overall, these findings suggest seasonal variation with a possible peak in spring and nadir in winter. This supports the hypothesis that sarcoidosis has seasonal variation and is more commonly diagnosed in spring, but more evidence is needed to support this, as well as investigation into the pathophysiology of sarcoidosis to explain this phenomenon.

scholarly journals The Zoom Effect: A Google Trends Analysis

2021 ◽  
Author(s):  
Kometh Thawanyarat ◽  
Shannon Francis ◽  
Trudy Kim ◽  
Connor Arquette ◽  
Shane Morrison ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Public Interest ◽  
Breast Implant ◽  
Aesthetic Surgery ◽  
Google Trends ◽  
Search Terms ◽  
Search Volume ◽  
Chi Squared ◽  
Fat Removal ◽  
Bivariate Regression Analysis

Abstract Background Increased video-chatting, stimulated by the COVID-19 pandemic, has been correlated with increased appearance concerns. Initial lockdown restrictions correlated with a decrease in aesthetic/cosmetic plastic surgery case volumes. Objectives We aim to delineate public interest in aesthetic procedures surrounding the COVID-19 pandemic via Google Trends (GT). We hypothesize that because of the pandemic, public interest in plastic surgery procedures increased, especially localized above the shoulder. Methods Trends in the US for given search terms and volumes were gathered via Google Trends between January 2015 to March 2021. The search volumes were normalized, and a bivariate regression analysis of panel data was then applied to the aggregate trendlines to determine if a statistically significant change in search volume occurred following the stay-at-home orders. Results The following search terms had statistically significant (p < 0.000) increases in search volumes after February 2020: blepharoplasty, Botox, brachioplasty, breast implant removal, breast reduction, brow lift, buccal fat removal, hair transplantation, lip augmentation, mentoplasty, otoplasty, platysmaplasty, rhinoplasty, and thighplasty. Chi-squared analysis demonstrated a statistically significant association (Chi-squared = 4.812, p = 0.028) between increases in search volume and above the shoulder procedures. Conclusions Public interest in above the shoulder surgical procedures showed a statistically significant increase following February 2020 compared to below the shoulder procedures. Continued examination of specific procedure trends, as well as determining correlations with more accurate procedural datasets, will provide increased insight into consumers’ mindsets and to what extent video conferencing plays on the public’s interest in pursuing aesthetic surgery.

scholarly journals Dental Challenges and the Needs of the Population during the Covid-19 Pandemic Period. Real-Time Surveillance Using Google Trends

2020 ◽  
Vol 17 (23) ◽  
pp. 8999
Author(s):  
Magdalena Sycinska-Dziarnowska ◽  
Iwona Paradowska-Stankiewicz
Keyword(s):  
Public Interest ◽  
Google Trends ◽  
Search Terms ◽  
Search Volume ◽  
The Us ◽  
New Challenges ◽  
Word Search ◽  
Relative Search Volume ◽  
The Uk ◽  
Dental Needs

Background: The outbreak of the COVID-19 pandemic may lead to changes in the dental needs of the population and new challenges concerning oral health care. Methods: The Google Trends tool was used to collect data on the Internet search interest. The investigated material was collected from 1 January 2020 to 23 August 2020. Search terms “toothache”, “dentist” and “stay at home” were retrieved for the whole world as well as for the US, the UK, Poland, Italy and Sweden. Results: During the lockdown, correlation analysis indicates the lowest public interest in the word “dentist” one week preceding the peak for “toothache”, followed by an increase in the word search for “dentist”. On 12 April, worldwide, the maximum of Google Trends Relative Search Volume (RSV) for “toothache” was observed. Conclusion: Decrease in “dentist” queries during lockdown followed by an increase in “toothache” search predicts greater dental needs in the post-pandemic period. The surveillance shows significant changes in queries for dental-related terms during the course of the COVID-19 pandemic. In order to prepare for future pandemic outbreaks teledentistry programs should be taken into consideration.

scholarly journals Seasonality of Back Pain in Italy: An Infodemiology Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1325
Author(s):  
Jacopo Ciaffi ◽  
Riccardo Meliconi ◽  
Maria Paola Landini ◽  
Luana Mancarella ◽  
Veronica Brusi ◽  
...  
Keyword(s):  
Back Pain ◽  
Secular Trend ◽  
Seasonal Pattern ◽  
Kendall Test ◽  
Temporal Variations ◽  
Secular Trends ◽  
Google Trends ◽  
Seasonal Fluctuations ◽  
Cosinor Analysis ◽  
Search Terms

Background: E-health tools have been used to assess the temporal variations of different health problems. The aim of our infodemiology study was to investigate the seasonal pattern of search volumes for back pain in Italy. Methods: In Italian, back pain is indicated by the medical word “lombalgia”. Using Google Trends, we selected the three search terms related to “lombalgia” with higher relative search volumes (RSV), (namely, “mal di schiena”, “dolore alla schiena” and “dolore lombare”), representing the semantic preferences of users when performing web queries for back pain in Italy. Wikipedia page view statistics were used to identify the number of visits to the page “lombalgia”. Strength and direction of secular trends were assessed using the Mann–Kendall test. Cosinor analysis was used to evaluate the potential seasonality of back pain-related RSV. Results: We found a significant upward secular trend from 2005 to 2020 for search terms “mal di schiena” (τ = 0.734, p < 0.0001), “dolore alla schiena” (τ = 0.713, p < 0.0001) and “dolore lombare” (τ = 0.628, p < 0.0001). Cosinor analysis on Google Trends RSV showed a significant seasonality for the terms “mal di schiena” (pcos < 0.001), “dolore alla schiena” (pcos < 0.0001), “dolore lombare” (pcos < 0.0001) and “lombalgia” (pcos = 0.017). Cosinor analysis performed on views for the page “lombalgia” in Wikipedia confirmed a significant seasonality (pcos < 0.0001). Both analyses demonstrated a peak of interest in winter months and decrease in spring/summer. Conclusions: Our infodemiology approach revealed significant seasonal fluctuations in search queries for back pain in Italy, with peaking volumes during the coldest months of the year.

scholarly journals Combining Multiple Organizational-level Databases: An Empirical Evaluation of Different Matching Methods

2021 ◽  
pp. 004912412098618
Author(s):  
Tim de Leeuw ◽  
Steffen Keijl
Keyword(s):  
Empirical Evaluation ◽  
Organizational Level ◽  
Random Errors ◽  
Data Set ◽  
Future Studies ◽  
Matching Methods ◽  
Matching Process ◽  
Significant Relationships ◽  
Research Findings ◽  
Insight Into

Although multiple organizational-level databases are frequently combined into one data set, there is no overview of the matching methods (MMs) that are utilized because the vast majority of studies does not report how this was done. Furthermore, it is unclear what the differences are between the utilized methods, and it is unclear whether research findings might be influenced by the utilized method. This article describes four commonly used methods for matching databases and potential issues. An empirical comparison of those methods used to combine regularly used organizational-level databases reveals large differences in the number of observations obtained. Furthermore, empirical analyses of these different methods reveal that several of them produce both systematic and random errors. These errors can result in erroneous estimations of regression coefficients in terms of direction and/or size as well as an issue where truly significant relationships might be found to be insignificant. This shows that research findings can be influenced by the MM used, which would argue in favor of the establishment of a preferred method as well as more transparency on the utilized method in future studies. This article provides insight into the matching process and methods, suggests a preferred method, and should aid researchers, reviewers, and editors with both combining multiple databases and describing and assessing them.

scholarly journals Increase in searches for erectile dysfunction during winter: seasonal variation evidence from Google Trends in the United States

2021 ◽  
Author(s):  
Belén Mora Garijo ◽  
Jonathan E. Katz ◽  
Aubrey Greer ◽  
Mia Gonzalgo ◽  
Alejandro García López ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
United States ◽  
Erectile Dysfunction ◽  
Seasonal Variation ◽  
Kidney Stones ◽  
Seasonal Pattern ◽  
The United States ◽  
Google Trends ◽  
Internet Search ◽  
Search Volume

AbstractSeveral diseases associated with erectile dysfunction (ED), such as type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD), are known to have seasonal variation, with increased incidence during winter months. However, no literature exists on whether this chronological-seasonal evolution is also present within ED symptomatology. We hypothesized ED would follow the seasonal pattern of its lifestyle-influenced comorbid conditions and exhibit increased incidence during winter months. In order to investigate the seasonal variation of ED in the United States between 2009 and 2019, Internet search query data were obtained using Google Trends. Normalized search volume was determined during the winter and summer seasons for ED, other diseases known to be significantly associated with ED (T2DM and CAD), kidney stones (positive control), and prostate cancer (negative control). There were significantly more internet search queries for ED during the winter than during the summer (p = 0.001). CAD and T2DM also had significantly increased search volume during winter months compared to summer months (p < 0.001 and p = 0.011, respectively). By contrast, searches for kidney stones were significantly increased in the summer than in the winter (p < 0.001). There was no significant seasonal variation in the relative search frequency for prostate cancer (p = 0.75). In conclusion, Google Trends internet search data across a ten-year period in the United States suggested a seasonal variation in ED, which implies an increase in ED during winter. This novel finding in ED epidemiology may help increase awareness of ED’s associated lifestyle risk factors, which may facilitate early medical evaluation and treatment for those at risk of both ED and cardiovascular disease.

2003 Guidelines for Liposuction Surgery

2003 ◽  
Vol 20 (1) ◽  
pp. 7-12 ◽  
Keyword(s):  
American Academy ◽  
Cosmetic Surgery ◽  
Ad Hoc ◽  
Board Of Trustees ◽  
Advisory Council ◽  
American Society ◽  
Liposuction Surgery

A joint Ad Hoc Committee of the American Society of Lipo-Suction Surgery (ASLSS) and the American Academy of Cosmetic Surgery (AACS) was formed to create the following guidelines for liposuction surgery. The members of this committee include: Jim E. Gilmore, MD; Robert W. Alexander MD, DMD; Ronald A. Fragen, MD; Dee Anna Glaser, MD; Kevin Pinski, MD; and Jacob Varon, MD. The ASLSS Advisory Council reviewed the guidelines in May 2002. These revised guidelines were presented to and passed by the AACS Board of Trustees on October 3, 2002.

scholarly journals Infodemiology of systemic lupus erythematous using Google Trends

Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia
Keyword(s):  
Big Data ◽  
Northern Hemisphere ◽  
Lupus Erythematosus ◽  
Kendall Test ◽  
Google Trends ◽  
Data Monitoring ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Google Search

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

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