Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data.

ABSTRACT: BACKGROUND:Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals' overall mood state in relation to depression-like symptoms. OBJECTIVE:The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking. METHODS:Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continu

SUBMITTER: Tana JC 

PROVIDER: S-EPMC5990858 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature