Google Trends reveals increases in internet searches for insomnia during the 2019 coronavirus disease (COVID-19) global pandemic

STUDY OBJECTIVES

The 2019 coronavirus disease (COVID-19) has become a global health and economic crisis. Recent evidence from small samples suggest that it has increased mood and sleep disturbances, including insomnia, around the world. This study aimed to estimate the effect of COVID-19 on insomnia levels worldwide and in the United States during the acute phase of the pandemic.

METHODS

We analyzed search query data recorded between January 2004 and May 2020 from Google Trends and Google Keyword Planner for the search term "insomnia".

RESULTS

The number of search queries for insomnia has increased over the past decade and is greater than the number of search queries for other major sleep disorders. The COVID-19 pandemic increased search queries for insomnia both worldwide and in the United States, with the number in the United States increasing by 58% during the first 5 months of 2020 compared with the same months from the previous 3 years. There is a robust diurnal pattern in insomnia search queries in the United States, with the number of queries peaking around 3 am and the overall pattern remaining stable during the pandemic.

CONCLUSIONS

These results highlight the impact the COVID-19 pandemic has had on sleep health and the urgent need for making effective interventions accessible. Future studies will be needed to determine whether the increase in insomnia symptoms will persist and lead to higher rates of chronic insomnia in the population.

Trends in prescriptions for sedative-hypnotics among Korean adults: a nationwide prescription database study for 2011-2015

PURPOSE

This study investigated prescriptions for sedative-hypnotics via data obtained from the Health Insurance Review and Assessment (HIRA) service.

METHODS

Data on sedative-hypnotic prescriptions from the HIRA service of the Republic of Korea were analyzed from 2011 to 2015. We included prescriptions for subjects > 18 years of age from hospitals and community healthcare centers. In addition, subgroup analyses with a subsample restricted to prescriptions from patients with diagnostic codes F510 (nonorganic insomnia) or G470 (insomnia) were performed. After analyzing the number of prescriptions by individual pharmacy items, the prescription codes were grouped as: (1) benzodiazepines; (2) non-benzodiazepines, including zolpidem; (3) antidepressants; and (4) antipsychotics. We calculated the monthly percent change in the number of prescriptions by drug group using Joinpoint regression.

RESULTS

Among the sedative-hypnotic groups, benzodiazepines were the most commonly prescribed drugs in Korea during the study period. As a single sedative-hypnotic item, zolpidem was the most frequently prescribed medication for patients with insomnia. Prescriptions for all groups of sedative-hypnotics increased significantly during the study period. When stratified by age group, antipsychotic prescriptions increased significantly by 0.19-0.21% per month among men and women aged 50-59 years and > 70 years. Prescriptions for antidepressants in 30-39-year-old men increased significantly by 0.20%.

CONCLUSIONS

Benzodiazepine prescriptions as well as those for antipsychotics and antidepressants to treat insomnia increased during 2011-2015 in Korea. Monitoring the use of sedative-hypnotics at the national level is necessary, especially in the elderly population.

SleepOMICS: How Big Data Can Revolutionize Sleep Science

Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. "Real-life" behavioral (sensor-based), molecular, digital, and epidemiological big data represent a source of an impressive wealth of information that can be exploited in order to advance the field of sleep research. It can be anticipated that big data will have a profound impact, potentially enabling the dissection of differences and oscillations in sleep dynamics and architecture at the individual level ("sleepOMICS"), thus paving the way for a targeted, "one-size-does-not-fit-all" management of sleep disorders ("precision sleep medicine").