Literature DB >> 33504508

Web searches for anxiolytic drugs during the COVID-19 outbreak in the USA.

Giuseppe Lippi1, Brandon M Henry2, Fabian Sanchis-Gomar3.   

Abstract

Entities:  

Keywords:  COVID-19; mental health; primary health care; public health; social medicine

Mesh:

Substances:

Year:  2021        PMID: 33504508      PMCID: PMC9047903          DOI: 10.1136/ejhpharm-2020-002671

Source DB:  PubMed          Journal:  Eur J Hosp Pharm        ISSN: 2047-9956


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Several lines of evidence attest that the ongoing coronavirus disease 2019 (COVID-19) pandemic is accompanied by a vast array of physiological problems in the community.1 Since the emergence or magnification of anxiety disorders in the general population has also been suggested during the COVID-19 outbreak,2 we aimed to provide further insights on this matter by performing an electronic search in Google Trends (Google Inc, Mountain View, CA, USA), using the terms corresponding to the most common anxiolytic medicines used in the USA (ie, ‘Alprazolam’, ‘Diazepam’, ‘Lorazepam’, and ‘Clonazepam’) along with their brand names (‘Xanax’, ‘Valium’, ‘Ativan’, and ‘Klonopin’, respectively), and setting the country option to ‘United States’. The weekly Google Trends score recorded for each of the keywords after the emergence of the COVID-19 outbreak in the USA (ie, between 19 January to 18 November 2020) was compared with the average score recorded during each corresponding week of the previous 4 years (ie, between 19 January 2016 to 8 November 2019). The overall number of new weekly diagnoses of COVID-19 in the USA was also retrieved from the US Centres for Disease Control and Prevention (CDC) website. Comparison between the Google Trends scores before and after the emergence of the COVID-19 outbreak in the USA was carried out with the Mann-Whitney U test, while the correlation between new weekly cases of COVID-19 and the volume of Google searches for the four keywords during the same week of the year was analysed with Spearman’s correlation. The statistical analysis was carried out using Analyse-it (Analyse-it Software Ltd, Leeds, UK). The study was conducted in accordance with the Declaration of Helsinki, under the terms of relevant local legislation. The analysis was based on electronic searches in open, publicly available repositories, and thereby no informed consent or ethical committee approvals were required. The trend of the volume of weekly Google searches for the four keywords and the number of new weekly cases of COVID-19 in the USA are summarised in figure 1. A clear trend towards a reduction in weekly Google searches for the four anxiolytics could be observed throughout the study period, such that the Google Trends scores for all four drugs were found to be lower during the 43 weeks of the COVID-19 outbreak in the USA than in the corresponding weeks of the previous 4 years. More specifically, the weekly Google Trends score of alprazolam decreased from an average of 68.3±8.7 during the last 4 years to 50.6±3.0 in 2020 (−25.9%; p<0.001), that of diazepam decreased from 19.6±1.9 to 18.3±2.3 (−6.4%; p<0.001), that of lorazepam fell from 25.9±2.8 to 23.3±1.5 (−10.0%; p<0.001), and that of clonazepam was reduced from 24.0±1.6 to 19.6±1.5 (−18.3%; p<0.001), respectively. The results were unchanged when using the brand name of the drug.
Figure 1

Trends of new weekly diagnoses of coronavirus disease 2019 (COVID-19) in the USA and volume of Google searches for the antidepressant drugs ‘Alprazolam’, ‘Diazepam’, ‘Lorazepam’, and ‘Clonazepam’ in the country between January 2016 and November 2020.

Trends of new weekly diagnoses of coronavirus disease 2019 (COVID-19) in the USA and volume of Google searches for the antidepressant drugs ‘Alprazolam’, ‘Diazepam’, ‘Lorazepam’, and ‘Clonazepam’ in the country between January 2016 and November 2020. When the volume of Google searches recorded for the four antidepressant drugs after explosion of the COVID-19 outbreak in USA was also correlated with the number of new weekly diagnoses of COVID-19, a significant inverse association could be noted with alprazolam (r=−0.47, 95% CI −0.67 to −0.19; p=0.002), while no significant association was found with diazepam (r=−0.10, 95% CI −0.39 to 0.21; p=0.531), lorazepam (r=−0.15, 95% CI −0.43 to 0.16; p=0.352), and clonazepam (r=−0.14, 95% CI −0.43 to 0.16; p=0.359), respectively. These results were consistent with the results obtained when using the brand names. Our analysis highlights that the impact of COVID-19 on anxiety disorders may not be as straightforward as previously reported and hence requires additional investigation and analysis. Overall, rather than finding an increased internet interest in anxiolytic drugs during the US outbreak of COVID-19, we found that the volume of Google searches for four of the most used anti-anxiety medications decreased significantly compared with previous years. Interestingly, we either failed to find statistically significant correlations between the volume of Google searches for these drugs in parallel with the epidemiologic trend of COVID-19 (diazepam, lorazepam, clonazepam), or we paradoxically found an inverse association with the number of new COVID-19 weekly diagnoses (alprazolam). These findings were unexpected, as several reports have noted that increased anxiety and depressive symptoms have been observed during the COVID-19 outbreak compared with historical norms.3–5
  5 in total

1.  Internet Searches for Acute Anxiety During the Early Stages of the COVID-19 Pandemic.

Authors:  John W Ayers; Eric C Leas; Derek C Johnson; Adam Poliak; Benjamin M Althouse; Mark Dredze; Alicia L Nobles
Journal:  JAMA Intern Med       Date:  2020-12-01       Impact factor: 21.873

2.  Correlates of Mental Health Symptoms Among US Adults During COVID-19, March-April 2020.

Authors:  Meghan Reading Turchioe; Lisa V Grossman; Annie C Myers; Jyotishman Pathak; Ruth Masterson Creber
Journal:  Public Health Rep       Date:  2020-11-19       Impact factor: 2.792

3.  Rapid assessment of psychological and epidemiological correlates of COVID-19 concern, financial strain, and health-related behavior change in a large online sample.

Authors:  Benjamin W Nelson; Adam Pettitt; Jessica E Flannery; Nicholas B Allen
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

4.  Mental health outcomes associated with the COVID-19 pandemic: Prevalence and risk factors in a southern US state.

Authors:  Allen C Sherman; Mark L Williams; Benjamin C Amick; Teresa J Hudson; Erick L Messias
Journal:  Psychiatry Res       Date:  2020-09-24       Impact factor: 3.222

5.  Brief Online Cognitive Behavioural Intervention for Dysfunctional Worry Related to the COVID-19 Pandemic: A Randomised Controlled Trial.

Authors:  Tove Wahlund; David Mataix-Cols; Klara Olofsdotter Lauri; Elles de Schipper; Brjánn Ljótsson; Kristina Aspvall; Erik Andersson
Journal:  Psychother Psychosom       Date:  2020-11-19       Impact factor: 17.659

  5 in total

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