SF-36 Mental Component Score Trajectories Do Not Show a Strong Impact of the COVID-19 Pandemic in Current and Former Smokers

G. Kinney, J. Bon, K. Hoth, K. Young, B. Make, R. Wise, J. Hokanson, E. Regan, for the COPDGene Investigators
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Abstract

Background: CDC recommended increased social distancing in order to reduce virus transmission during the COVID-19 pandemic. This included physical isolation for older adults at elevated risk for COVID-19 due to age and chronic medical conditions such as lung disease. While social distancing is effective at reducing the spread of COVID-19, the secondary negative impact of isolation and reduction in social resources is likely to impact vulnerable older adults with medical risk factors such as a history of heavy smoking and chronic lung disease. In this study we will examine the impact of pandemic on longitudinal change in SF-36 Mental Component Score. Methods: COPDGene is a longitudinal study of current and former smokers with at least a 10 pack-year smoking history. The study has included 3 visits (Baseline, Phase 2 at 5-years, and Phase 3 at 10-years), during which quality of life was assessed using the SF-36. Phase 3 in-person visits were interrupted by COVID-19 in March 2020. SF-36 was included in virtual visits conducted from March-October of 2020 using telephony and online surveys. We examined vectors of change in MCS across the 3 timepoints employing group-based trajectory models (SAS Proc Traj) to identify group membership and the probability of the observed MCS given group memberships. Each model used baseline and 5-year data in the same way. The first model used phase 3 data collected in-person (PRE) and the second used phase 3 data collected during the pandemic (DURING). Trajectory membership was compared using demographic profiles of participants pre- vs post-pandemic. Results: Figure 1 shows the trajectories identified for each group. The PRE group (n=2,242) included 4 trajectories: 1) 68% began high (MCS=56.1) and continued to be high across 10 years, 2) 15% began low (MCS=38.8) and improved, 3) 11.0% began high (MCS=51.4) and decreased and 4) 6.4% began low (MCS=30.0%) and remained low. The DURING group included three trajectories with the majority of observations beginning high (MCS=54.5) and remaining high, and two other groups that duplicated the pattern of PRE groups 2 and 3. The most consistent predictors of group membership in both PRE and DURING were age, MMRC and 6 minute walk at both baseline and year 10 follow-up (p<0.0001 in all cases). Conclusions: Trajectories of change in mental-health related quality of life do not reflect a large negative impact of the COVID- 19 pandemic in this large sample of older current and former smokers with and without COPD.
SF-36心理成分评分轨迹未显示COVID-19大流行对当前和以前吸烟者的强烈影响
背景:疾病预防控制中心建议在COVID-19大流行期间增加社交距离,以减少病毒传播。这包括对因年龄和肺部疾病等慢性疾病而感染COVID-19风险较高的老年人进行物理隔离。虽然保持社交距离可有效减少COVID-19的传播,但隔离和社会资源减少的次生负面影响可能会影响具有重度吸烟史和慢性肺病等医疗风险因素的脆弱老年人。在本研究中,我们将检验大流行对SF-36心理成分评分纵向变化的影响。方法:COPDGene是一项对至少有10包年吸烟史的当前和以前吸烟者的纵向研究。该研究包括3次访问(基线,第2阶段在5年,第3阶段在10年),在此期间使用SF-36评估生活质量。2020年3月,第三阶段的亲自访问因COVID-19而中断。SF-36被包括在2020年3月至10月通过电话和在线调查进行的虚拟访问中。我们使用基于群体的轨迹模型(SAS Proc Traj)检查了3个时间点MCS的变化向量,以确定群体成员资格和观察到的MCS给定群体成员资格的概率。每个模型都以相同的方式使用基线和5年数据。第一个模型使用亲自收集的第3阶段数据,第二个模型使用大流行期间收集的第3阶段数据。使用参与者在大流行前与大流行后的人口统计资料比较轨迹成员。结果:图1显示了每组确定的轨迹。PRE组(n= 2242)包括4个轨迹:1)68%开始时高(MCS=56.1)并持续高10年,2)15%开始时低(MCS=38.8)并改善,3)11.0%开始时高(MCS=51.4)并下降,4)6.4%开始时低(MCS=30.0%)并保持低水平。DURING组包括三个轨迹,大多数观察值开始高(MCS=54.5)并保持高,另外两个组重复PRE组2和3的模式。PRE和DURING组成员最一致的预测因素是年龄、MMRC和基线和第10年随访时的6分钟步行(p<所有病例0.0001)。结论:心理健康相关生活质量的变化轨迹并没有反映出COVID- 19大流行对有和无COPD的老年吸烟者的重大负面影响。
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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