The correlation of obesity and metabolic abnormalities with asthma and non-alcoholic hepatic steatosis has been extensively studied. However, the association between asthma and non-alcoholic hepatic steatosis has been largely overlooked. This study aims to investigate the potential association between asthma risk and the fatty liver index (FLI), a validated indicator of non-alcoholic fatty liver disease (NAFLD). We screened 16,223 adults from National Health and Nutrition Examination Survey (NHANES) data between 2001 and 2018. Logistic regression analysis was performed to identify the association between FLI and asthma risk. We assessed their dose-response relationship using a restricted cubic spline (RCS) model. The threshold effect was analyzed to identify the FLI threshold point. Among the subjects screened, there were 2,192 cases suffered from asthma. After adjusting for all the confounders, using the Q3 group (FLI, 54-83) as the reference, the odds ratios (ORs) were 1.35 for the Q1 group (95% CI, 1.01-1.81), 1.21 for Q2 (95% CI, 0.98-1.49), and 1.48 for Q4 (95% CI, 1.27-1.73). Moreover, the RCS showed a nonlinear relationship between FLI and asthma risk (p < 0.05). Although the nonlinear relationship remained significant after gender-based stratification (p < 0.05), low FLI did not confer an increased risk of asthma in females. The optimal FLI threshold was 65 for the study sample; it was 68 and 63 for males and females, respectively (p < 0.05). This study demonstrated a nonlinear relationship between FLI and asthma risk. Furthermore, maintaining respective index values of 68 and 63 for males and females is likely associated with the lowest asthma risk.
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http://dx.doi.org/10.1507/endocrj.EJ24-0248 | DOI Listing |
Eur Radiol
January 2025
Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Objective: To assess the co-occurrence of incidental CT lung findings (emphysema, bronchiectasis, and airway wall thickening) as well as associated risk factors in low-dose CT (LDCT) lung cancer screening in a Chinese urban population.
Methods: Data from 978 participants aged 40-74 years from the Chinese NELCIN-B3 urban population study who underwent LDCT screening were selected. CT scans were reviewed for incidental lung findings: emphysema, bronchiectasis and airway wall thickness.
Allergy
January 2025
Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
Sci Rep
January 2025
Department of Research Methodology, Northern State Medical University, Troitsky Ave., 51, Arkhangelsk, Russia, 163069.
We investigated and compared mortality rates and risk factors for pre-pandemic and pandemic all-cause mortality in a population-based cohort of men and women in Arkhangelsk, Russia. A prospective cohort study enrolled 2,324 participants aged 35 to 69 years between 2015 and 2017. All participants were followed up for all-cause deaths using the mortality registry.
View Article and Find Full Text PDFBMJ Open
January 2025
Population Data Science, Faculty of Medicine, Swansea University Medical School, Swansea, UK.
Purpose: We have established the SAIL MELD-B electronic cohort (e-cohort SMC) and the SAIL MELD-B children and Young adults e-cohort (SMYC) as a part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project. Each cohort has been created to investigate and develop a deeper understanding of the lived experience of the 'burdensomeness' of multimorbidity by identifying new clusters of burdensomeness concepts, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.
Participants: The SMC and SMYC are longitudinal e-cohorts created from routinely collected individual-level population-scale anonymised data sources available within the Secure Anonymised Information Linkage (SAIL) Databank.
BMC Public Health
January 2025
Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Background: Exposure to nitrogen dioxide (NO) is associated with an increased risk of cardiovascular, respiratory, and other diseases and health outcomes. Although NO emissions have decreased in Germany, concentrations currently observed still pose a threat to population health. The aim of this study is to estimate the environmental burden of disease (EBD) resulting from long-term NO exposure in Germany from 2010 to 2021.
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