School of Human and Behavioural Sciences, Bangor University, Bangor, Gwynedd, UK
Communicable Disease Surveillance Centre, Public Health Wales NHS Trust, Cardiff, UK.
J Epidemiol Community Health. 2022 Jun;76(6):544-549. doi: 10.1136/jech-2021-217360. Epub 2022 Feb 28.
The new behavioural norms needed to reduce the spread of COVID-19 are likely scaffolded by social capital. Research on social capital and COVID-19 has yielded mixed results, with some studies finding it to be protective while others identifying it as a risk factor. We examined the association between social capital and COVID-19 at a finer spatial scale than previous research, and examined changes in the relationship over the course of the pandemic.
Routine COVID-19 surveillance data from Wales were linked to estimates of social capital at a small area level. Generalised linear mixed effects models predicting COVID-19 case rates across areas using social capital estimates and possible confounding variables were fitted to the data. A moving window version of the analysis explored whether this relationship varied across time.
Areas with higher levels of social capital had lower rates of COVID-19 (rate ratio for trust=0.94, 95% CI 0.92 to 0.96; rate ratio for belonging=0.94, 95% CI 0.92 to 0.96). These associations were strongest during periods of lockdown, with evidence that social capital was less protective, and potentially even a risk factor, during periods when restrictions were eased. Trust, but not belonging, remained protective after adjusting for deprivation, population density, ethnicity and proportion population aged over 65 years.
Social capital is an important public health resource, which should be considered in future pandemic preparedness. Its importance may be greatest during times when social activity is most restricted.
为了减少 COVID-19 的传播,需要新的行为规范,而这些规范可能由社会资本支撑。关于社会资本和 COVID-19 的研究结果喜忧参半,一些研究认为它具有保护作用,而另一些研究则将其视为风险因素。我们在比以往研究更精细的空间尺度上研究了社会资本与 COVID-19 之间的关系,并研究了在大流行过程中这种关系的变化。
将威尔士的常规 COVID-19 监测数据与小区域层面的社会资本估计值相关联。使用社会资本估计值和可能的混杂变量,为数据拟合了预测各区域 COVID-19 发病率的广义线性混合效应模型。对分析结果进行了移动窗口处理,以探索这种关系是否随时间而变化。
社会资本水平较高的地区 COVID-19 发病率较低(信任的比率比=0.94,95%CI 0.92 至 0.96;归属感的比率比=0.94,95%CI 0.92 至 0.96)。这些关联在封锁期间最强,有证据表明,在放宽限制期间,社会资本的保护作用较弱,甚至可能成为一个风险因素。在调整了贫困程度、人口密度、种族和 65 岁以上人口比例等因素后,信任仍然具有保护作用,但归属感没有。
社会资本是一项重要的公共卫生资源,应在未来的大流行准备中加以考虑。在社交活动受到最严格限制的时期,其重要性可能最大。