@Article{info:doi/10.2196/25422,
author="Wang, Peng
and Xu, Qing
and Cao, Rong-Rong
and Deng, Fei-Yan
and Lei, Shu-Feng",
title="Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study",
journal="J Med Internet Res",
year="2021",
month="Jul",
day="5",
volume="23",
number="7",
pages="e25422",
keywords="global public interest; Google trends; osteoporosis; seasonality; trends; infodemiology; information seeking; web-based information",
abstract="Background: With the prolonging of human life expectancy and subsequent population aging, osteoporosis (OP) has become an important public health issue. Objective: This study aimed to understand the global public search interests and dynamic trends in ``osteoporosis'' using the data derived from Google Trends. Methods: An online search was performed using the term ``osteoporosis'' in Google Trends from January 1, 2004, to December 31, 2019, under the category ``Health.'' Cosinor analysis was used to test the seasonality of relative search volume (RSV) for ``osteoporosis.'' An analysis was conducted to investigate the public search topic rising in RSV for ``osteoporosis.'' Results: There was a descending trend of global RSV for ``osteoporosis'' from January 2004 to December 2014, and a slowly increasing trend from January 2015 to December 2019. Cosinor analysis showed significant seasonal variations in global RSV for ``osteoporosis'' (P=.01), with a peak in March and a trough in September. In addition, similar decreasing trends of RSV for ``osteoporosis'' were found in Australia, New Zealand, Ireland, and Canada from January 2004 to December 2019. Cosinor test revealed significant seasonal variations in RSV for ``osteoporosis'' in Australia, New Zealand, Canada, Ireland, UK, and USA (all P<.001). Furthermore, public search rising topics related to ``osteoporosis'' included denosumab, fracture risk assessment tool, bone density, osteopenia, osteoarthritis, and risk factor. Conclusions: Our study provided evidence about the public search interest and dynamic trends in OP using web-based data, which would be helpful for public health and policy making. ",
issn="1438-8871",
doi="10.2196/25422",
url="https://www.jmir.org/2021/7/e25422",
url="https://doi.org/10.2196/25422",
url="http://www.ncbi.nlm.nih.gov/pubmed/36260400"
}