scholarly journals Did the introduction of pictorial health warnings increase information seeking for smoking cessation?: Time-series analysis of Google Trends data in six countries

2019 ◽  
Vol 5 (August) ◽  
Author(s):  
Anton Kunst ◽  
Casper van Splunter ◽  
Sigrid Troelstra ◽  
Jizzo Bosdriesz
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Time Series Analysis ◽  
Information Seeking ◽  
Google Trends ◽  
Health Warnings ◽  
Series Analysis

scholarly journals Evaluation of the London Smoking Cessation Transformation Programme: a time series analysis

The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S59
Author(s):  
Sarah E Jackson ◽  
Emma Beard ◽  
Robert West ◽  
Jamie Brown
Keyword(s):  
Time Series ◽  
Smoking Cessation ◽  
Time Series Analysis ◽  
Series Analysis

scholarly journals The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis

2021 ◽  
Vol 18 (20) ◽  
pp. 10794
Author(s):  
Yulin Hswen ◽  
Alyssa J. Moran ◽  
Siona Prasad ◽  
Anna Li ◽  
Denise Simon ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Google Trends ◽  
Series Data ◽  
Interrupted Time Series Analysis ◽  
Menu Labeling ◽  
Search Queries ◽  
Calorie Labeling ◽  
Series Analysis

Public awareness of calories in food sold in retail establishments is a primary objective of the menu labeling law. This study explores the extent to which we can use social media and internet search queries to understand whether the federal calorie labeling law increased awareness of calories. To evaluate the association of the federal menu labeling law with tweeting about calories we retrieved tweets that contained the term “calorie(s)” from the CompEpi Geo Twitter Database from 1 January through 31 December in 2016 and 2018. Within the same time period, we also retrieved time-series data for search queries related to calories via Google Trends (GT). Interrupted time-series analysis was used to test whether the federal menu labeling law was associated with a change in mentions of “calorie(s)” on Twitter and relative search queries to calories on GT. Before the implementation of the federal calorie labeling law on 7 May 2018, there was a significant decrease in the baseline trend of 4.37 × 10−8 (SE = 1.25 × 10−8, p < 0.001) mean daily ratio of calorie(s) tweets. A significant increase in post-implementation slope of 3.19 × 10−8 (SE = 1.34 × 10−8, p < 0.018) mean daily ratio of calorie(s) tweets was seen compared to the pre-implementation slope. An interrupted time-series (ITS) analysis showed a small, statistically significant upward trend of 0.0043 (SE = 0.036, p < 0.001) weekly search queries for calories pre-implementation, with no significant level change post-implementation. There was a decrease in trend of 1.22 (SE = 0.27, p < 0.001) in search queries for calories post-implementation. The federal calorie labeling law was associated with a 173% relative increase in the trend of mean daily ratio of tweets and a −28381% relative change in trend for search queries for calories. Twitter results demonstrate an increase in awareness of calories because of the addition of menu labels. Google Trends results imply that fewer people are searching for the calorie content of their meal, which may no longer be needed since calorie information is provided at point of purchase. Given our findings, discussions online about calories may provide a signal of an increased awareness in the implementation of calorie labels.

scholarly journals Seasonality of hair loss: a time series analysis of Google Trends data 2004–2016

2018 ◽  
Vol 178 (4) ◽  
pp. 978-979 ◽  
Author(s):  
E.Y. Hsiang ◽  
Y.R. Semenov ◽  
C. Aguh ◽  
S.G. Kwatra
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Hair Loss ◽  
Google Trends ◽  
Series Analysis
Sign in / Sign up

Export Citation Format

Share Document