No wink of sleep: Population sleep characteristics in response to the brexit poll and the 2016 U.S. presidential election

Crowdsourced smartphone data reveal altered sleep/wake pattern in quarantined Chinese during the COVID-19 outbreak

“…Large-scale studies revealed that sleep patterns can be affected by national events. A previous study using the same source of data as the current study (Sleep as Android) found sleep duration was reduced the night immediate following national events, such as Brexit vote and US presidential election (Anýž et al 2019). Sleep duration was reduced because people might have spent some of the span typically devoted to sleep time on other activities, e.g.…”

“…For comparison, we also computed the expected value of these variables using linear regression, controlling for time zone, the month of the record, and day of the record (S/M/T/W/T/F/S). These variables were associated with sleep patterns in crowdsourcing sleep data (Anýž et al 2019;Walch et al 2016). Deviations between the actual and expected sleep parameters, as well as the standard error of these deviations, were produced in regression analysis.…”

“…All sleep records from China, classified as time zones of Asia/Chongqing, Asia/Chungking, Asia/ Harbin, Asia/Hong_Kong, Asia/Macao, Asia/Macau, Asia/Shanghai, and Asia/Taipei, were included. Similar to a previous report using data from Sleep as Android, the system time zone, instead of geographical coordinates, was used to classify user location due to missing data (Anýž et al 2019). A total of 15,681 sleep records from 563 users were available for analysis.…”

County-level political group density, partisan polarization, and individual-level mortality among adults in the United States: A lagged multilevel study

“…Research on the health effects of elections and associated partisanship has burgeoned in the last decade, first emerging after the 2008 U.S. Presidential election ( Classen, 2009 ; Stanton et al, 2010 ; Waismel-Manor et al, 2011 ). Since then, studies have documented a range of negative biobehavioral health consequences of elections including increases in poor health ( Fraser et al, 2022 ; Nelson, 2022 ), rising cortisol levels ( Stanton et al, 2010 ; Waismel-Manor et al, 2011 ), increases in the incidence of mental health conditions such as stress, depression, anxiety, sleep problems, and suicide ( Anýž et al, 2019 ; Classen, 2009 ; Hagan et al, 2020 ; Hoyt et al, 2018 ; Nayak et al, 2021 ), elevated blood pressure ( Hwang et al, 2022 ), increases in the onset of cardiac arrhythmias and acute cardiovascular disease ( Mefford et al, 2022 ; Rosman et al, 2021 ), and increases in all-cause mortality ( Maas & Lu, 2020 ). Given that issues such as immigration, foreign policy, welfare, taxes, racism, and marriage equality have historically been important during elections ( Dao, 2004 ; Newport, 2008 ; O’Connor, 2001 ; Yau, 2004 ), the impacts might be particularly salient for marginalized communities which tend to be deeply impacted by the policy effects of partisan changes.…”

Sleeping giant:A research agenda for politics and chronobiology

“…Inadequate sleep lowers turnout (Holbein et al, 2019;Potoski & Urbatsch, 2017;Schafer & Holbein, 2020;Urbatsch, 2014Urbatsch, , 2017, as does excessive sleep (Ksiazkiewicz & Erol, 2022). Contentious political events, like the Brexit vote and the Donald Trump's election, cause people to sleep less (Anýž et al, 2019). Conservatives are more likely to be larks (early to bed, early to rise) than night owls (Ksiazkiewicz, 2020), and they are also more likely than liberals to value morning more than night (Ksiazkiewicz, 2021).…”