Smoking and Risks Contributing to COVID-19 Hospitalization in Washoe County, Nevada, 2020-2021

Journal of Public Health Management and Practice, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Objectives: To investigate the association between smoking behavior and COVID-19 hospitalization, integrating individual regional factors such as community resilience social determinants of health (SDOH), addressing gaps in existing research. Design: Retrospective cohort study utilizing multilevel analytical methods to evaluate effects status SDOH on hospitalization. Setting: Washoe County, Nevada, during first year pandemic (March 5, 2020, April 30, 2021). Participants: All reported laboratory-positive COVID-19-infected adult residents County collected by Health District through mandated disease surveillance for which was recorded, totaling 10,215 cases after data cleaning. Main Outcome Measure: Hospitalization among those with primary outcome measure, analyzed relation zip code tabulation area (ZCTA)-level variables. Results: The analysis found that individuals infected who currently formerly smoked had significantly higher odds hospitalization compared never smoked, ratios adjusted demographics comorbidities. An increased were associated local unemployment, a significant ZCTA-level factor. Conclusions: Smoking may have COVID-19, well socioeconomic factor unemployment. integration into assessment outcomes underscores need targeted public interventions address both behaviors community-level factors. Future research should continue explore these inform more effective strategies policy decisions.

Language: Английский

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Causal effects of education, intelligence, and income on COVID-19: evidence from a Mendelian randomization study

Human Genomics, Journal Year: 2025, Volume and Issue: 19(1)

Published: Feb. 25, 2025

Abstract Background The protective effects of higher educational attainment (EA) and intelligence on COVID-19 outcomes are not yet understood with regard to their dependency income. objective our study was examine the overall as well independent three psychosocial factors susceptibility severity COVID-19. To accomplish this, we utilized genetic correlation, Mendelian randomization (MR), multivariable MR (MVMR) analyses evaluate associations between EA, intelligence, household income, specific outcomes: SARS-CoV-2 infection, hospitalized COVID-19, critical Results correlation analysis revealed that were negatively correlated (r g : -0.19‒-0.36). indicated liability income exerted against infection (OR: 0.86‒0.92), 0.70‒0.80), 0.65‒0.85). MVMR elevated levels EA conferred 0.85), hospitalization due 0.79), 0.63). Furthermore, exhibited a negative association risk 0.91), whereas linked an 1.13). Conclusions Our findings could significantly reduce regardless However, impact or supported by research.

Language: Английский

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Sex-specific Mendelian randomization phenome-wide association study of basal metabolic rate

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 24, 2025

Language: Английский

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Genetic support of the causal association between gut microbiome and COVID-19: a bidirectional Mendelian randomization study

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: July 7, 2023

The association between gut microbiome and coronavirus disease 2019 (COVID-19) has attracted much attention, but its causality remains unclear requires more direct evidence.In this study, we conducted the bidirectional Mendelian randomization (MR) analysis to assess causal COVID-19 based on summary statistics data of genome-wide studies (GWASs). Over 1.8 million individuals with three phenotypes (severity, hospitalization infection) were included. And 196 bacterial taxa from phylum genus analyzed. inverse-variance weighted (IVW) was chosen as primary method. Besides, false discovery rate (FDR) correction p-value used. To test robustness relationships p-FDR < 0.05, sensitivity analyses including secondary MR analyses, horizontal pleiotropy test, outliers "leave-one-out" conducted.In forward MR, found that 3, 8, 10 had suggestive effects severity, infection, respectively. Alloprevotella [odds ratio (OR) = 1.67; 95% confidence interval (95% CI), 1.32-2.11; p 1.69×10-5, 2.01×10-3] causally associated a higher severity risk. In reverse infection abundance 4, 8 taxa, increased Bacteroidetes (OR 1.13; CI, 1.04-1.22; 3.02×10-3; 2.72×10-2). However, indicated result required careful consideration.Our study revealed highlighted role "gut-lung axis" in progression COVID-19.

Language: Английский

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Exploring genetic associations between allergic diseases and indicators of COVID-19 using mendelian randomization

iScience, Journal Year: 2023, Volume and Issue: 26(6), P. 106936 - 106936

Published: May 22, 2023

We carried out a bidirectional Mendelian randomization (MR) including cases of eczema (N = 218,792), asthma 462,933), and allergic rhinitis 112,583). COVID-19 susceptibility 1,683,768), hospitalization 1,887,658), severe respiratory symptom 1,388,342) were sampled from GWAS database. The MR analysis was primarily based on inverse variance weighted (IVW), supplemented by several other algorithms. In the analysis, negatively associated with (odds ratio (OR) IVW 0.92; p 0.031) (ORIVW 0.81, 0.010); 0.65, 0.005) 0.20, 0.001). No significant association found between 0.80, 0.174), 0.71, 0.207), or 0.56; 0.167). reverse showed no potential causal association. Our findings provided new evidence that diseases might be different risks susceptibility, hospitalization, symptom.

Language: Английский

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Causal associations between COVID-19 and childhood mental disorders

BMC Psychiatry, Journal Year: 2023, Volume and Issue: 23(1)

Published: Dec. 8, 2023

Abstract Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can invade both the peripheral and central nervous systems impact function of brain. Therefore, it is necessary to evaluate mutual influences between COVID-19 outcomes childhood mental disorders. Methods We examined genetic correlations potential causalities three disorders phenotypes by genetically proxied analyses. included attention-deficit/hyperactivity disorder (ADHD, N = 292,548), Tourette’s (TS, 14,307), autism spectrum (ASD, 46,350). traits SARS-CoV-2 infection (N 2,597,856), hospitalized 2,095,324), critical 1,086,211). Literature-based analysis was used build gene-based pathways connecting ADHD COVID-19. Results positively correlated with (R g : 0.22 ~ 0.30). Our Mendelian randomization (MR) analyses found that confers a causal effect on (odds ratio (OR): 1.36, 95% confidence interval (CI): 1.10–1.69). TS (OR: 1.14, CI: 1.04–1.25). Genetic liability may not increase risk for Pathway identified several immunity-related genes link COVID-19, including CRP , OXT IL6 PON1 AR TNFSF12 IL10 . Conclusions study suggests augment severity through pathways. However, our results did support role in

Language: Английский

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Causal associations of tea intake with COVID-19 infection and severity

Frontiers in Nutrition, Journal Year: 2023, Volume and Issue: 9

Published: Jan. 4, 2023

Tea ingredients can effectively inhibit SARS-CoV-2 infection at adequate concentrations. It is not known whether tea intake could impact the susceptibility to COVID-19 or its severity. We aimed evaluate causal effects of on outcomes. performed Mendelian randomization (MR) analyses assess associations between (N = 441,279) and three outcomes, including (122,616 cases 2,475,240 controls), hospitalized (32,519 2,062,805 critical (13,769 1,072,442 controls). The MR indicated that genetic propensity for consumption conferred a negative effect risk (OR: 0.87, 95% confidence interval (CI): 0.78-0.97, P 0.015). No (0.84, 0.64-1.10, 0.201) (0.73, 0.51-1.03, 0.074) were detected. Our study revealed decrease infection, highlighting potential preventive transmission.

Language: Английский

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COVID-19 susceptibility and severity for dyslipidemia: A mendelian randomization investigation

Heliyon, Journal Year: 2023, Volume and Issue: 9(9), P. e20247 - e20247

Published: Sept. 1, 2023

BackgroundThe severe acute respiratory syndrome coronavirus in 2019 (COVID-19) is still spreading and causing deaths worldwide, which further increased the burden of chronic diseases. Dyslipidemia a common metabolic syndrome, major risk factor for cardiovascular disease. However, studies on whether there direct causal relationship between COVID-19 exacerbation hyperlipidemia are scarce.MethodsTwo-sample Mendelian randomization was conducted using publicly available summary statistics from independent cohorts European ancestry. For hyperlipidemia, we used data ieu open GWAS project database. Inverse variance-weighted, mendelian Egger, weighted median, simple mode, mode analyses were performed, together with range sensitivity analyses.ResultsThere no dyslipidemia, regardless severity or either dyslipidemic outcome. In combination previous studies, reason clinical outcome that dyslipidemia may be due to pre-existing disease caused by COVID-19.ConclusionsCOVID-19 has dyslipidemia.

Language: Английский

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Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Feb. 4, 2024

Abstract Recent evidence suggests that allergic asthma (AA) decreases the risk of Coronavirus Disease 2019 (COVID-19). However, reasons remain unclear. Here, we systematically explored data from GWAS (18 cohorts with 11,071,744 samples), bulk transcriptomes (3 601 and single-cell (2 29 samples) to reveal immune mechanisms connect AA COVID-19. Two-sample Mendelian randomization (MR) analysis identified a negative causal correlation COVID-19 hospitalization (OR = 0.968, 95% CI 0.940–0.997, P 0.031). This was bridged through white cell count. Furthermore, machine learning dendritic cells (DCs) as most discriminative immunocytes in Among five DC subtypes, only conventional 2 (cDC2) exhibited differential expression between AA/COVID-19 controls (P < 0.05). Subsequently, energy metabolism, intercellular communication, cellular stemness differentiation, molecular docking analyses were performed. cDC2s more increased numbers, enhanced activation exacerbation, while they showed less reduced number, severe The capacity cDC2 for differentiation SARS-CoV-2 antigen presentation may be ZBTB46, EXOC4, TLR1, TNFSF4 gene mutations AA. Taken together, links genetic causality Future strategies prevention, intervention, treatment could stratified according guided DC-based therapies. Graphical

Language: Английский

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Metabolic predictors of COVID-19 mortality and severity: a survival analysis

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: May 10, 2024

Introduction The global healthcare burden of COVID-19 pandemic has been unprecedented with a high mortality. Metabolomics, powerful technique, increasingly utilized to study the host response infections and understand progression multi-system disorders such as COVID-19. Analysis metabolites in SARS-CoV-2 infection can provide snapshot endogenous metabolic landscape its role shaping interaction SARS-CoV-2. Disease severity consequently clinical outcomes may be associated imbalance related amino acids, lipids, energy-generating pathways. Hence, metabolome help predict potential risks outcomes. Methods In this prospective study, using targeted metabolomics approach, we studied signature 154 patients (males=138, age range 48-69 yrs) it disease Blood plasma concentrations were quantified through LC-MS MxP Quant 500 kit, which coverage 630 from 26 biochemical classes including distinct lipids small organic molecules. We then employed Kaplan-Meier survival analysis investigate correlation between various markers, patient Results A comparison individuals levels (amino tryptophan, kynurenine, serotonin, creatine, SDMA, ADMA, 1-MH carnitine palmitoyltransferase 1 2 enzymes) those low revealed statistically significant differences further used four key markers (tryptophan, asymmetric dimethylarginine, 1-Methylhistidine) develop mortality risk model application multiple machine-learning methods. Conclusions Metabolomics signatures among different groups, reflecting discernible alterations acid perturbations tryptophan metabolism. Notably, critical exhibited higher short chain acylcarnitines, concomitant severe cases non-survivors. Conversely, 3-methylhistidine lower context.

Language: Английский

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