Dataset Information

Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic.

ABSTRACT: Two online studies (Total N = 331) tested the hypothesis that individual differences in self-control and responses to uncertainty would predict adherence to Centers for Disease Control and Prevention (CDC, 2020a) guidelines, reported stockpiling, and intentions to engage in hedonic behavior in response to the COVID-19 pandemic. Trait self-control (b = 0.27, p = .015), desire for self-control (Study 1: b = 0.28, p = .001; Study 2: b = 0.27, p = .005), and cognitive uncertainty (b = 0.73, p < .001) predicted more CDC adherence. State self-control (Study 1: b = -0.15, p = .012; Study 2: b = -0.26, p < .001) predicted less stockpiling, whereas emotional uncertainty (b = 0.56, p < .001) and cognitive uncertainty (b = 0.61, p < .001) predicted more stockpiling. State self-control (b = -0.18, p = .003) predicted less hedonic behavior, whereas desire for self-control (b = 0.42, p < .001) and emotional uncertainty (b = 0.26, p = .018) predicted more hedonic behavior. Study 2 (pre-registered) also found that emotional uncertainty predicted more stockpiling and hedonic behavior for participants low in state self-control (stockpiling: b = -0.31, p < .001; hedonic behavior: b = 0.28, p = .025), but not for participants high in state self-control (stockpiling: b = 0.03, p = .795; hedonic behavior: b = -0.24, p = .066). These findings provide evidence that some forms of self-control and uncertainty influenced compliance with behavioral recommendations during the COVID-19 pandemic.

Supplementary information

The online version contains supplementary material available at 10.1007/s12144-021-02066-y.

SUBMITTER: Rodriguez JE

PROVIDER: S-EPMC8272611 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic.

Rodriguez Jordan E JE Holmes Hayden L HL Alquist Jessica L JL Uziel Liad L Stinnett Alec J AJ

Current psychology (New Brunswick, N.J.) 20210710 9

Two online studies (Total N = 331) tested the hypothesis that individual differences in self-control and responses to uncertainty would predict adherence to Centers for Disease Control and Prevention (CDC, 2020a) guidelines, reported stockpiling, and intentions to engage in hedonic behavior in response to the COVID-19 pandemic. Trait self-control (b = 0.27, p = .015), desire for self-control (Study 1: b = 0.28, p = .001; Study 2: b = 0.27, p = .00 ...[more]

PMID: 34276168

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Project description:COVID-19 case was first identified in Canada on January 25, 2020, on a Toronto resident who had travelled to Wuhan China, and not long after, the WHO declared the viral infection a pandemic. Ontario health West created an online self-assessment portal that allowed individuals in the health region and adjourning areas to report any COVID related symptoms. The purpose of this study was to evaluate the utility and usefulness of the Ontario Heath West online COVID-19 self-assessment portal. Record level data obtained from the Ontario Health West self-assessment portal was analyzed. Descriptive statistics using charts and graphs were used to characterize the distribution of responses to the portal. In-depth analysis using correlation, lead-lag analysis, and trend comparison with actual Government of Ontario COVID-19 cases for the region were also conducted. A total of 34,144 distinct responses were recorded on the portal between April 10 and July 29, 2020, with 1,250 (3.7%) responding positively to one of the emergency symptoms questions. Trend analysis showed a peak portal response in May 2020 with a smaller rise subsequently in July 2020, coinciding with the actual COVID-19 peak in the region. The five most reported symptoms on the portal were sore throat (17.2%), headache (12.9%), fatigue (12.3%), digestive problems (12.2%) and cough (9.1%). For four sub-regions, the trend of self-report on the portal positively lagged actual Public Health Ontario reported COVID-19 cases, while for one sub-region, the trend positively led the actual Public Health Ontario reported COVID-19 cases for the area. We found correlation between online COVID-19 self- assessment data and the confirmed COVID-19 cases in the Southwestern region of Ontario. Trends in the COVID-19 associated emergency symptoms reported on the portal also tracked confirmed COVID-19 cases in the community. Peak response to the portal coincided with the peak volume of confirmed cases in Ontario during the first wave of COVID-19 pandemic in Canada, suggesting some consistency between the experiences of portal users and patterns of COVID-19 illness in the community. The portal was a useful tool at the person-level because it provided guidance to individuals about how to access appropriate health services according to the symptoms that they reported and connected them with primary care, reducing unnecessary visit to health facilities for COVID-19 related care.

Dataset Information

Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic.

Supplementary information

Publications

Self-controlled responses to COVID-19: Self-control and uncertainty predict responses to the COVID-19 pandemic.

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