Back

Older Adults' Attitudes Regarding COVID-19 and Associated Infection Control Measures in Shanghai, and Impact on Well-Being

Cui, L.; Xu, Z.; Ghisi, G. L. M.; Liu, X.; Grace, S. L.

2022-10-31 infectious diseases
10.1101/2022.10.26.22281511 medRxiv
Show abstract

This cross-sectional study investigated health management, well-being, and pandemic-related perspectives in Shanghainese adults [&ge;]50 years during early and strict COVID-19 control measures. A self-report survey was administered via Wenjuanxing between March-April/2020. Items from the Somatic Symptom Scale, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 were administered, as well as pandemic-specific questions. 1181 primarily married, retired females participated; Many had hypertension (n=521, 44.1%), coronary artery disease (CAD; n=201, 17.8%) and diabetes (n=171, 14.5%). While most respondents (n=868; 73.5%) were strictly following control measures (including limiting visits with children; n=390, 33.0%) and perceived they could tolerate that beyond 6 months (n=555;47.0%), they were optimistic about the future if control measures were continued (n=969;82.0%), and perceived impact would be temporary (n=646;64.7%). 52 of those with any condition (8.2%) and 19 of those without a condition (3.5%) reported the pandemic was impacting their health. Somatic symptoms were high (29.4{+/-}7.1/36), with Sleep & Cognitive symptoms highest. 24.4% and 18.9% of respondents had elevated depressive and anxious symptoms, respectively; greater distress was associated with lower income (p=0.018), having hypertension (p=0.001) and CAD (p<0.001), more negative perceptions of global COVID-19 control (p=0.004), COVID-19 spread (p[&le;]0.001), impact on life and health (p<0.001), compliance with control measures (p<0.001), and shorter time control measures could be tolerated (p<0.001) in adjusted analyses. In the initial COVID-19 outbreak, most older adults were optimistic and resilient with regard to the epidemic and control measures. However, the distress of older adults is not trivial, particularly in those with health issues.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.