Kennedy Katherine M, DeJong Erica N, Chan Alexander W Y, Kennedy Allison E, Jamal Alainna, Surette Michael G, Larché Maggie J, Larché Mark, Hambly Nathan, Ask Kjetil, Atkinson Stephanie A, McNicholas Paul D, McGeer Allison, Coleman Brenda L, Bowdish Dawn M E
Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada.
Firestone Institute for Respiratory Health, St. Joseph's Healthcare, Hamilton, Canada.
BMC Glob Public Health. 2025 Jun 11;3(1):52. doi: 10.1186/s44263-025-00162-w.
During the early phase of the COVID-19 pandemic, the province of Ontario enacted restrictions and recommendations that changed over time. These measures were effective in reducing COVID-19-related illness and deaths, but adherence to these non-pharmaceutical interventions may be modified by individual factors including demographics and health status which shape exposure risk behaviors.
A total of 348 participants completed baseline questionnaires (to assess demographics, pre-pandemic exposure risk, and health status), weekly illness reports, and monthly social distancing behavior questionnaires to evaluate exposure risk over time in response to changing levels of government restrictions. Exposure risk behaviors were calculated using seven categories: attendance at social events, receiving care (hospital, etc.), visiting or volunteering at care facilities, public transportation use, hours working outside of the home, hours volunteering outside of the home, and handwashing frequency. The impact of individual and environmental factors on exposure risk over time was evaluated by a Poisson family generalized linear mixed model.
Participants across all age groups and health statuses adapted their behaviors in response to evolving regulations, but older individuals and those with pre-existing conditions had the largest change in behavior. These individuals also had the most severe symptoms when they developed COVID-19 or other influenza-like illnesses. Participants who were older or had pre-existing health conditions had lower levels of exposure risk overall, and this was largely driven by a lower prevalence and frequency of in-person work. Female participants also had lower levels of exposure risk overall, consistent with an increased frequency of handwashing in this group. Unexpectedly, we found no effect of vaccination on total exposure risk.
Participant behavior was generally responsive to government-imposed restrictions, with increased stringency coinciding with decreased exposure risk among participants. Demographic-associated differences in exposure risk behaviors appear to be driven by systemic factors (i.e., a return to in-person work) to a greater extent than personal choices (i.e., social gatherings). These findings emphasize the interplay between demographic factors and government interventions in shaping individual behaviors over the course of the pandemic. Understanding these dynamics is crucial for informing interventions and mitigating the impact of future pandemics.
在新冠疫情早期阶段,安大略省颁布了一些限制措施和建议,且这些措施随时间有所变化。这些措施在减少与新冠相关的疾病和死亡方面是有效的,但对这些非药物干预措施的遵守情况可能会因个体因素而有所改变,这些个体因素包括影响接触风险行为的人口统计学特征和健康状况。
共有348名参与者完成了基线调查问卷(以评估人口统计学特征、疫情前的接触风险和健康状况)、每周疾病报告以及每月社交距离行为调查问卷,以评估随着政府限制水平的变化,参与者在一段时间内的接触风险。接触风险行为通过七类进行计算:参加社交活动、接受护理(医院等)、在护理机构探访或做志愿者、使用公共交通、在家外工作时长、在家外做志愿者时长以及洗手频率。通过泊松族广义线性混合模型评估个体和环境因素对一段时间内接触风险的影响。
所有年龄组和健康状况的参与者都根据不断变化的规定调整了自己的行为,但老年人和有基础疾病的人行为变化最大。当他们感染新冠或其他流感样疾病时,这些人也有最严重的症状。年龄较大或有基础健康状况的参与者总体接触风险较低,这在很大程度上是由于亲自工作的患病率和频率较低。女性参与者总体接触风险也较低,这与该组洗手频率增加一致。出乎意料的是,我们发现接种疫苗对总接触风险没有影响。
参与者的行为总体上对政府实施的限制措施有反应,限制措施越严格,参与者的接触风险越低。接触风险行为中与人口统计学相关的差异似乎在更大程度上是由系统性因素(即恢复亲自工作)而非个人选择(即社交聚会)驱动的。这些发现强调了在疫情期间人口统计学因素与政府干预在塑造个体行为方面的相互作用。了解这些动态对于制定干预措施和减轻未来疫情的影响至关重要。