Using Google Trends to explore the New Zealand public's interest in bariatric surgery

Popularity of Surgical and Pharmacological Obesity Treatment Methods Searched by Google Users: the Retrospective Analysis of Google Trends Statistics in 2004-2022

PURPOSE

Many individuals search for obesity treatment options on the Internet. We aimed to analyze the popularity of pharmacological and surgical obesity treatment methods searched by Google users.

MATERIAL AND METHODS

We used Google Trends to identify topics representing the following: recommended surgical methods (n = 9), recommended pharmacological methods (n = 10), and not recommended pharmacological methods (n = 34). The data was generated for 2004-2022 and 2020-2022. Relative search volume (RSV) was adjusted using "Gastric bypass surgery" as a benchmark. We analyzed the geographical and temporal trends of the topics.

RESULTS

In 2004-2022, the topics representing recommended surgical methods numerically gained the most popularity among Google users, but in 2020-2022 the recommended drugs exceeded other obesity treatment methods. The most popular individual topics since 2004 were "flaxseed," "Spirulina," "Carnitine," "Bariatric surgery," and "Orlistat." The most dynamic increases of searches since 2004 were observed for "Sleeve gastrectomy," "Curcumin," "Psyllium," and "Bupropion/Naltrexon." Since 2018, topics representing GLP-1 analogs such as "Semaglutide" and "Saxenda" revealed exponential increases in RSV, causing that "Semaglutide" to become the fourth most popular topic in 2020-2022.

CONCLUSIONS

Google users across the world were the most interested in topics representing bariatric surgery, but recently recommended drugs for the treatment of obesity gained the most attention. The most popular individual topics were dietary supplements with uncertain effects on weight loss.

Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study

OBJECTIVE

To identify and analyze population interest in obesity, nutrition, and occupational health and safety and its relationship with the worldwide prevalence of obesity through information search trends.

METHOD

In this ecological study, data were obtained through online access to Google Trends using the topics "obesity", "nutrition", and "occupational health and safety". Obesity data were obtained from the World Health Organization (WHO) website for crude adult prevalence and estimates by region. The variables studied were relative search volume (RSV), temporal evolution, milestone, trend, and seasonality. The temporal evolution of the search trends was examined by regression analysis (R2). To assess the relationship between quantitative variables, the Spearman correlation coefficient (Rho) was used. Seasonality was verified using the augmented Dickey-Fuller (ADF) test.

RESULTS

The RSV trends were as follows: obesity (R2 = 0.04, p = 0.004); nutrition (R2 = 0.42, p < 0.001); and occupational health and safety (R2 = 0.45, p < 0.001). The analysis of seasonality showed the absence of a temporal pattern (p < 0.05 for all terms). The associations between world obesity prevalence (WOP) and the different RSVs were as follows: WOP versus RSV obesity, Rho = -0.79, p = 0.003; WOP versus RSV nutrition, Rho = 0.57, p = 0.044; and WOP versus RSV occupational health and safety, Rho = -0.93, p = 0.001.

CONCLUSIONS

Population interest in obesity continues to be a trend in countries with the highest prevalence, although there are clear signs popularity loss in favor of searches focused on possible solutions and treatments, with a notable increase in searches related to nutrition and diet. Despite the fact that most people spend a large part of their time in the workplace and that interventions including various strategies have been shown to be useful in combating overweight and obesity, there has been a decrease in the population's interest in information related to obesity in the workplace. This information can be used as a guide for public health approaches to obesity and its relationship to nutrition and a healthy diet, approaches that are of equal utility and applicability in occupational health.

Implications of Public Interest in Colonoscopy: Analysis of Google Trends Data From 12 European Countries

INTRODUCTION

Colorectal cancer (CRC) is one of the deadliest diseases in the European Union. Colonoscopy remains the gold standard of CRC screening. Analysis of colonoscopy-related Google Trends (GT; Google LLC, Mountain View, California, United States) data could provide useful information regarding interest in colonoscopy and potential barriers making patients unwilling to attend screening programs.

METHODS

Data were collected using GT for the main search term "colonoscopy" and the two most related queries. Colonoscopy volumes were extracted from the Eurostat database. Due to limited Eurostat data availability, analysis was performed from January 2004 to December 2015 for each of the 12 included countries.

RESULTS

Univariate linear regression analysis demonstrated statistically significant correlations between annual search volumes of "colonoscopy" and the annual number of colonoscopies performed in included countries (R2 = 0.923, P<.001). Trend analysis showed that the cumulative search volumes for "colonoscopy" gradually increased through the analyzed period. The spectrum of the most related queries encompassed "preparation for colonoscopy", "endoscopy", "after endoscopy", "colon", "colonoscopy diet", "virtual colonoscopy", "colonoscopy under anesthesia", "waiting times for colonoscopy" and "colonoscopy price". For eight out of nine queries, statistically significant correlations with procedure volumes were revealed.

CONCLUSIONS

GT could be a useful tool in assessing public interest in colonoscopy. Potential barriers that prevent people from attending CRC screening programs were identified. The study demonstrated that the internet has become an important field for CRC screening promotion. GT utility for colonoscopy and CRC screening providers was highlighted. This was the first analysis of GT data in colonoscopy focused on European countries.

Correlation of internet search enquiries, incidence of ophthalmological diseases and corneal, cataract and refractive surgical procedures

Analysis of internet search queries (ISQ) could be useful to study public interest and medical need for corneal, cataract, and refractive surgery. To date, there are preliminary data on seasonal trends in ophthalmic conditions, but only few studies correlate these data with real data from healthcare systems. The aim of this study is to analyze ISQ and correlate it with real healthcare system data. Data were retrieved from the KBV registry of patients who underwent outpatient ophthalmic surgery in Germany from 2017 to 2019 and from Statista GmbH from 2010 to 2020 for corneal refractive surgery. Time Series analysis of ISQ was analyzed from 2004 to 2020 and correlated with healthcare system data using bivariate correlation analysis. ISQ correlated significantly with the incidence of ophthalmic procedures such as corneal transplantations (r = 0.69, p < 0.05), cataract- (r = 0.59, p < 0.05) and refractive laser surgery (r = 0.83, p < 0.05) in Germany. In addition, specific trends were observed with respect to individual surgical procedures. The correlation between search intensities and surgical procedures varied significantly. Thus, interests in surgical procedures can be tracked by observing changes in ISQ over time. These data correlate with real healthcare data and could be used in the future for now-casting or even forecasting.

Using Google Trends to assess the Australian public's interest in topical gynaecology issues

Our primary objective is to assess public awareness of topical issues in gynaecology by observing Google Trends information on internet searches in Australia and explore the linear relationship with landmark changes in policy or management. Following notable interventions such as new government policies, action plans and publications, there has been a 26.4% increase in searches for endometriosis, 3.9% increase in searches into transvaginal mesh, a 48.8% increase in searches for cervical screening and a 20.9% overall increase in searches for polycystic ovarian syndrome. This analysis appears to show that patient interest largely mirrors real world events.

Using Google Trends to Identify Seasonal Variation in Foot and Ankle Pathology

BACKGROUND

Google Trends proves to be a novel tool to ascertain the level of public interest in pathology and treatments. From anticipating nascent epidemics with data-driven prevention campaigns to identifying interest in cosmetic or bariatric surgery, Google Trends provides physicians real-time insight into the latest consumer trends.

METHODS

We used Google Trends to identify temporal trends and variation in the search volume index of four groups of keywords that assessed practitioner-nomenclature inquiries, in addition to podiatric-specific searches for pain, traumatic injury, and common podiatric pathology over a 10-year period. The Mann-Kendall trend test was used to determine a trend in the series, and the Wilcoxon signed-rank test was used to determine whether there was a significant difference between summer and winter season inquiries. Significance was set at P ≤ .05.

RESULTS

The terms "podiatrist" and "foot doctor" experienced increasing Search Volume Index (SVI) and seasonal variation, whereas the terms "foot surgeon" and "podiatric surgeon" experienced no such increase. "Foot pain," "heel pain," "toe pain," and "ankle pain" experienced a significant increase in SVI, with "foot pain" maintaining the highest SVI at all times. Similar results were seen with the terms "foot fractures," "bunion," "ingrown toenail," and "heel spur." These terms all experienced statistically significant increasing trends; moreover, the SVI was significantly higher in the summer than in the winter for each of these terms.

CONCLUSIONS

The results of this study show the utility in illustrating seasonal variation in Internet interest of pathologies today's podiatrist commonly encounters. By identifying the popularity and seasonal variation of practitioner- and pathology-specific search inquiries, resources can be allocated to effectively address current public inquiries. With this knowledge, providers can learn what podiatric-specific interests are trending in their local communities and market their practice accordingly throughout the year.

Public Interest in Cataract Surgery: Analysis and Implications of Google Trends Data from 14 European Countries

Purpose: Cataract surgery is the most common surgery performed in the European Union (EU) annually. Analysis of Google Trends (GT) data could give European eye care providers useful information regarding interest in cataract surgery and potential barriers making patients unwilling to undergo surgery.Methods: Data were collected using GT for cataract surgery and the two most related queries, for each of 14 included countries from January 2004 to December 2018. Case volumes were extracted from the Eurostat report for the calendar years 2004-2018.Results: The most related queries analysis demonstrated surgery outcomes, founding issues and understanding of the disease as potential factors for patients considering cataract surgery. Trend analysis showed that the total search volumes for "cataract surgery" gradually increased over the study period. Also, for "cataract", "after cataract surgery", "cataract surgery NHF" rising trends were revealed. Trends found for "cataract surgery price" and "cataract surgery complications" were inconclusive. Univariate linear regression analysis demonstrated statistically significant correlations between average annual search volumes of "cataract surgery" and the annual volume of cataract surgeries performed in included countries, according to Eurostat data (R² = 0.889, p = <.001). In addition, univariate linear regression analyses revealed similar, statistically significant correlation for each the most related queries.Conclusions: To the knowledge of the authors, this is the first and the only analysis of GT data in the ophthalmology literature to date. This study highlights this potentially powerful data set for European eye care providers.

Hey Google! will New Zealand vote to legalise cannabis? Using Google Trends data to predict the outcome of the 2020 New Zealand cannabis referendum

BACKGROUND

New Zealand held a referendum on the legalisation of recreational cannabis in October 2020. Polls preceding the referendum provided contrasting outcomes. We investigated whether internet search data from Google Trends could provide an alternative estimate of the referendum outcome.

METHODS

We assessed various methods for accessing Google Trends data, downloading search probability data for google.com searches from New Zealand via trends.google.com, PyTrends and Google Trends Extended for Health. We used daily data for the three months prior to the final referendum date, and hourly data for the final week. We defined two smaller time frames each from daily and hourly data, allowing comparisons over the entire time frames, and progressively closer to the end. Using the selected keyword combination of 'cannabis referendum yes/no' we calculated the proportions of 'yes' and 'no' searches for each time frame/data source combination, aiming for a prediction within 2% of the final result.

RESULTS

Data from different sources varied slightly. The method used to aggregate search probabilities over the selected time frame (mean/median) resulted in changes in the predicted outcome for hourly-, but not daily data. On 20 October we predicted the 'no' vote at 51.9%-55.4% for daily-, and 60% for hourly data when aggregated using the median, but only 49% for mean hourly data. Hourly data performed poorly at predicting the final 51.2% 'no' result, while predictions based on mean daily data for the full voting period provided the best prediction, differing by 0.1-0.2%.

CONCLUSION

Predictions based on Google Trends data broadly agreed with polling predictions, but the exact method used affected the eventual prediction. While polls are subject to influence from methodological considerations (e.g., sampling), it is clear that Google Trends data can be used to make a prediction, but do not present a magic bullet solution to polling problems.

What is the UK Public Searching for? A Correlation Analysis of Google Trends Search Terms and Cosmetic Surgery in the UK

Introduction

Search engine optimisation (SEO) in plastic surgery practice is crucial for increasing web traffic. Knowing what patients are searching for online can help plastic surgeons understand public interest, enhance patient engagement, and improve service provision. This study analyses the correlation between Google Trends (GT) search activity and the number of cosmetic procedures carried out in the UK.

Methods

GT search term data were analysed for popularity of use and geographical variation in the UK. Pearson’s correlation coefficient was used to analyse GT data against the number of cosmetic surgery procedures undertaken in the UK in the corresponding year and with 1-year time lag.

Results

GT score was higher for most colloquial search terms, such as “tummy tuck” compared to “abdominoplasty” (GT score 59 vs 6), but “otoplasty” was higher than “ear correction” (GT score 55 vs 19). Geographical variation showed that London ranked first in proportional search term activity for “brow lift” and Birmingham for “tummy tuck”. There was statistically significant positive correlation for three search terms and the number of corresponding surgeries undertaken. This increased to nine search terms when analysed with a 1-year time lag.

Conclusion

These results highlight the trends in online search activity in the UK and their correlation with cosmetic procedures. The higher number of significant correlations with 1-year time lag may reflect the patient’s decision-making journey to undergo cosmetic surgery. These results can be utilised for SEO, thus leading to a better-informed public and more robust practice building.

Level of Evidence V

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework

Background

Individuals are increasingly turning to search engines like Google to obtain health information and access resources. Analysis of Google search queries offers a novel approach, which is part of the methodological toolkit for infodemiology or infoveillance researchers, to understanding population health concerns and needs in real time or near-real time. While searches predominantly have been examined with the Google Trends website tool, newer application programming interfaces (APIs) are now available to academics to draw a richer landscape of searches. These APIs allow users to write code in languages like Python to retrieve sample data directly from Google servers.

Objective

The purpose of this paper is to describe a novel protocol to determine the top queries, volume of queries, and the top sites reached by a population searching on the web for a specific health term. The protocol retrieves Google search data obtained from three Google APIs: Google Trends, Google Health Trends (also referred to as Flu Trends), and Google Custom Search.

Methods

Our protocol consisted of four steps: (1) developing a master list of top search queries for an initial search term using Google Trends, (2) gathering information on relative search volume using Google Health Trends, (3) determining the most popular sites using Google Custom Search, and (4) calculating estimated total search volume. We tested the protocol following key procedures at each step and verified its usefulness by examining search traffic on birth control in 2017 in the United States. Two separate programmers working independently achieved similar results with insignificant variation due to sample variability.

Results

We successfully tested the methodology on the initial search term birth control. We identified top search queries for birth control, of which birth control pill was the most popular and obtained the relative and estimated total search volume for the top queries: relative search volume was 0.54 for the pill, corresponding to an estimated 9.3-10.7 million searches. We used the estimates of the proportion of search activity for the top queries to arrive at a generated list of the most popular websites: for the pill, the Planned Parenthood website was the top site.

Conclusions

The proposed methodological framework demonstrates how to retrieve Google query data from multiple Google APIs and provides thorough documentation required to systematically identify search queries and websites, as well as estimate relative and total search volume of queries in real time or near-real time in specific locations and time periods. Although the protocol needs further testing, it allows researchers to replicate the steps and shows promise in advancing our understanding of population-level health concerns.

International Registered Report Identifier (IRRID)

RR1-10.2196/16543