Social determinants of recovery from ongoing symptoms following COVID-19 in two UK longitudinal studies: a prospective cohort study.

BMJ public health Pub Date : 2025-03-20 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2024-001166
Nathan J Cheetham, Vicky Bowyer, María Paz García, Ruth C E Bowyer, J D Carpentieri, Andy Guise, Ellen J Thompson, Carole H Sudre, Erika Molteni, Michela Antonelli, Rose S Penfold, Nicholas R Harvey, Liane S Canas, Khaled Rjoob, Benjamin Murray, Eric Kerfoot, Alexander Hammers, Sebastien Ourselin, Emma L Duncan, Claire J Steves
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Abstract

Introduction: Social gradients in COVID-19 exposure and severity have been observed internationally. Whether combinations of pre-existing social factors, particularly those that confer cumulative advantage and disadvantage, affect recovery from ongoing symptoms following COVID-19 and long COVID is less well understood.

Methods: We analysed data on self-perceived recovery following self-reported COVID-19 illness in two UK community-based cohorts, COVID Symptom Study Biobank (CSSB) (N=2548) and TwinsUK (N=1334). Causal effects of sociodemographic variables reflecting status prior to the COVID-19 pandemic on recovery were estimated with multivariable Poisson regression models, weighted for inverse probability of questionnaire participation and COVID-19 infection and adjusted for potential confounders. Associations between recovery and social strata comprising combinations of sex, education level and local area deprivation were estimated using the intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. Further analyses estimated associations with variables reflecting experiences during the pandemic.

Results: Gradients in recovery from COVID-19 along the lines of social advantage were observed in intersectional MAIHDA models, with predicted probability of recovery lowest in female strata with lowest education and highest deprivation levels (CSSB: 55.1% (95% CI 44.0% to 65.1%); TwinsUK: 73.9% (95% CI 61.1% to 83.0%)) and highest in male strata with highest education and lowest deprivation levels (CSSB: 79.1% (95% CI 71.8% to 85.1%); TwinsUK: 89.7% (95% CI 82.5% to 94.1%)). Associations were not explained by differences in prepandemic health. Adverse employment, financial, healthcare access and personal experiences during the pandemic were also negatively associated with recovery.

Conclusions: Inequalities in likelihood of recovery from COVID-19 were observed, with ongoing symptoms several months after coronavirus infection more likely for individuals with greater social disadvantage prior to the pandemic.

英国两项纵向研究中COVID-19后持续症状恢复的社会决定因素:一项前瞻性队列研究
国际上已经观察到COVID-19暴露和严重程度的社会梯度。预先存在的社会因素,特别是那些具有累积优势和劣势的因素,是否会影响COVID-19和长期COVID后持续症状的恢复,目前还不太清楚。方法:我们分析了两个英国社区队列,COVID症状研究生物银行(CSSB) (N=2548)和TwinsUK (N=1334)中自我报告COVID-19疾病后的自我感知恢复数据。使用多变量泊松回归模型估计反映COVID-19大流行前状态的社会人口变量对恢复的因果影响,对参与问卷调查和COVID-19感染的负概率进行加权,并对潜在混杂因素进行调整。使用个体异质性和歧视准确性(MAIHDA)方法估计恢复与社会阶层(包括性别、教育水平和局部地区剥夺的组合)之间的关联。进一步分析估计了与反映大流行期间经验的变量之间的关联。结果:在交叉MAIHDA模型中观察到COVID-19的恢复沿社会优势的梯度,受教育程度最低和剥夺程度最高的女性阶层的预测恢复概率最低(CSSB: 55.1% (95% CI: 44.0% ~ 65.1%);TwinsUK: 73.9% (95% CI 61.1%至83.0%)),在受教育程度最高、贫困程度最低的男性阶层中最高(CSSB: 79.1% (95% CI 71.8%至85.1%);TwinsUK: 89.7% (95% CI 82.5% ~ 94.1%)。这种关联不能用大流行前健康状况的差异来解释。大流行期间不利的就业、金融、医疗保健机会和个人经历也与复苏呈负相关。结论:观察到从COVID-19中恢复的可能性存在不平等,在冠状病毒感染几个月后持续出现症状的个体在大流行前社会劣势较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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