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Background: The health belief model suggests that individuals' beliefs affect behaviors associated with health. This study examined whether Ohioans' pre-existing medical health diagnoses affected their belief about personal health risk and their compliance with social distancing during the coronavirus disease 2019 (COVID-19) pandemic. Prior research examining physical and mental diagnoses and social distancing compliance is nearly nonexistent. We examined whether physical and mental health diagnoses influenced individuals' beliefs that their health is at risk and their adherence with social distancing guidelines. Methods: The study used longitudinal cohort data from the Toledo Adolescent Relationships Study (TARS) (n = 790), which surveyed Ohioans prior to and during the COVID-19 pandemic. Dependent variables included belief that an individual's own health was at risk and social distancing compliance. Independent variables included physical and mental health diagnoses, pandemic-related factors (fear of COVID-19, political beliefs about the pandemic, friends social distance, family social distance, COVID-19 exposure), and sociodemographic variables (age, gender, race/ethnicity, educational level). Results: Individuals who had a pre-existing physical health diagnosis were more likely to believe that their personal health was at risk during the pandemic but were not more likely to comply with social distancing guidelines. In contrast, individuals who had a pre-existing mental health diagnosis were more compliant with social distancing guidelines but were not more likely to believe their personal health was at risk. Individuals who expressed greater fear of COVID-19 believed their health is more at risk than those who expressed lower levels of fear. Conclusion: Health considerations are important to account for in assessments of responses to the pandemic, beliefs about personal health risk, and social distancing behavior. Additional research is needed to understand the divergence in the findings regarding physical health, beliefs about personal health risk, and social distancing compliance. Further, research is needed to understand how mental health issues impact decision-making related to social distancing compliance.
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Competing motives in a pandemic: Interplays between fundamental social motives and technology use in predicting (Non)Compliance with social distancing guidelines
During the COVID-19 pandemic, individuals were advised to adhere to social distancing guidelines limiting physical interpersonal contact. Humans have a suite of adaptations to satisfy belonging needs while avoiding diseased conspecifics. Competition between motivational systems may explain adherence and resistance to social distancing guidelines and how technologically mediated interactions further shape these decisions. This study is a preregistered analysis of data in a representative sample collected during the pandemic investigating how individual differences in affiliative and pathogen-avoidant motives predict interest in physical interactions (N = 2409). Germ aversion predicted disinterest in physical interactions and need to belong predicted interest. Additional analyses revealed technology use satisfied belonging motives that unexpectedly heightened interest in physical contact. Exploratory analyses further indicate that internet speed was similarly associated with greater interest in physical interactions. We frame these results through a competing fundamental social motives framework and discuss how to address future pandemics effectively.
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- Award ID(s):
- 2030914
- PAR ID:
- 10286092
- Date Published:
- Journal Name:
- Computers in human behavior reports
- Volume:
- 123
- ISSN:
- 2451-9588
- Page Range / eLocation ID:
- 106892
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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