Googling Insomnia, Light, Metabolism, and Circadian: A Population Interest Simple Report

Abstract

Exposure to light at night, insomnia, and disrupted circadian patterns could be considered risk factors for developing noncommunicable diseases. Understanding the awareness of the general population about the abovementioned factors could be essential to predict noncommunicable diseases. This report aimed to investigate the general community’s interest in circadian, insomnia, metabolism, and light using Google Trends, and to evaluate results from different geographic areas. Relative search volumes (RSVs) for the factors mentioned, filtered by the “Health” category, were collected between 2007 and 2021. Moreover, RSVs were analysed in five different European languages. Worldwide mean RSVs for “Circadian”, “Insomnia”, “Light”, and “Metabolism” during the study period were 2%, 13.4%, 62.2%, and 10%, respectively. In different developed countries, searching for light, insomnia, and metabolism were different, suggesting a variable level of awareness. Limited knowledge about the circadian pattern of human activities was detected. The highest correlation coefficient was calculated. Our results suggest the potential role of extensive data analysis in understanding the public interest and awareness about these risk factors. Moreover, it should be interpreted as the onset of stimulus for researchers to use comprehensible language for reaching comprehensive media coverage to prevent sleep and circadian system disturbances.

Keywords

• Google Trend^®
• insomnia
• light
• metabolism
• circadian
• infodemiology