ArticleScientific reports2024
Understanding the impact of COVID-19 on quality of life using surveys and Mendelian randomization.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Leveraging randomized response frameworks to enhance sensitive data acquisition: implications for data regarding public health.Scientific reports · 2026Article
- Gallbladder disease and colorectal cancer: a two-sample bidirectional Mendelian randomization study.Discover oncology · 2026Article
- Breaking barriers in health surveillance: privacy-preserving techniques for tracking vaccine hesitancy and disease outbreaks in Pakistan.Frontiers in public health · 2026Article
- Utilizing stratified double response techniques in public health investigations to optimize privacy and efficiency via sensitive data estimation.BMC medical research methodology · 2025Article
- Construction of human pluripotent stem cell-derived testicular organoids and their use as humanized testis models for evaluating the effects of semaglutide.Theranostics · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has significantly impacted the quality of life (QoL) of individuals in China, affecting both their physical and mental well-being. This study aims to comprehensively analyze the factors influencing QoL in China during the pandemic. In 2022, we collected data using a self-developed questionnaire (dataset 2) and obtained dataset 1 from the 2021 China General Social Survey (CGSS). After confirming the scale's reliability and validity, we employed a random forest algorithm to prioritize the factors. Subsequently, Mendelian randomization analyses were conducted using data from the MRC IEU OpenGWAS data infrastructure. By comparing data from two periods with low and high infection rates, the results showed that among the various influences brought about by the prevalence of COVID-19, sleep disorders have a significant and widespread impact on the quality of life, especially for the elderly. Through the inclusion of Mendelian randomization analysis, we found that COVID-19 have a relative increase in the risk of developing insomnia by approximately 26.7% (OR = 1.267). These findings can inform the development of targeted interventions and strategies to improve overall well-being.
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Registered trials
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