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Association of pan-immune inflammation value and lung health in adults
Published 2025-01-01“…Methods The study was a cross-sectional population study from the National Health and Nutrition Examination Survey (NHANES). Restricted cubic spline (RCS) models were conducted to explore the relationships between PIV and respiratory health outcomes, while weighted linear regression models and weighted logistic regression models were the ones used for regression analysis. …”
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5822
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5823
Liver Transplant From a Deceased Donor With Cystinosis: A Case Report
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5824
Variations in rumen microbiota and host genome impacted feed efficiency in goat breeds
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5825
Associations between Overall and Abdominal Obesity and Suicidal Ideation among US Adult Women
Published 2012-01-01“…We analyzed data from 3,732 nonpregnant women aged ≥20 years who participated in the 2005–2008 National Health and Nutrition Examination Survey. We used anthropometric measures of weight, height, and waist circumference to calculate BMI and waist-height ratio. …”
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5826
Much Lower Prevalence and Mortality of Chronic Obstructive Pulmonary Disease in Japan Than in the United States Despite Higher Smoking Rates: A Meta-Analysis/Systematic Review
Published 2025-02-01“…A systematic review and meta-analysis was performed to estimate COPD prevalence in Japan, while the National Health and Nutrition Examination Survey 2007–2012 was used for the United States. …”
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5827
Impact of a potential Chlamydia vaccine in the USA: mathematical modelling analyses
Published 2024-05-01“…The model’s calibration used age-specific CT prevalence data sourced from the biannual rounds of the National Health and Nutrition Examination Surveys. The reported data are based on the outcomes generated by the model’s simulations.Results Over a 10-year period, vaccinating 80% of individuals aged 15–49 with a vaccine that reduces by 50% susceptibility to infection (VES=50%), infectiousness (VEI=50%) or duration of infection (VEP=50%) resulted, respectively, in 36.3%, 26.5% and 42.1% reduction in CT prevalence, and 38.8%, 28.6% and 24.1% reduction in CT incidence rate. …”
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5828
The Link between Overweight/Obesity and Noncommunicable Diseases in Ethiopia: Evidences from Nationwide WHO STEPS Survey 2015
Published 2023-01-01“…The relationship between nutritional status and NCDs was assessed using bivariate and multivariable logistic regression models while adjusting for covariates. …”
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Cross-sectional study on the association between neutrophil-percentage-to-albumin ratio (NPAR) and prevalence of stroke among US adults: NHANES 1999–2018
Published 2025-01-01“…A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018, including 48,734 individuals with complete NPAR and stroke data. …”
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5831
The Association between Antihypertensive Medication Use and Blood Pressure Is Influenced by Obesity
Published 2018-01-01“…Adults with hypertension from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 were used (n=15,285). …”
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Categorization of early embryonic malformations in broilers by a new classification method combining light microscopy and high-resolution Episcopic Microscopy
Published 2025-01-01“…Despite advancements in breeding and incubation technology, hatch rates remain suboptimal due to factors like genetics, egg management, environmental stress, nutrition, and breeder age. Understanding the mechanisms behind compromised hatchability is crucial for improving broiler production. …”
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Effect of Enriched Feed by Immunostimulant on Immune Response and Growth of Humpback Grouper, Cromileptes altivelis
Published 2007-01-01“…One of the methods to solve this problem is improvement of nutrition by using immune response present in fish body. …”
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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging
Published 2025-01-01“…Methods Data-driven prediction models were developed using medical history and laboratory blood test data from diabetic patients in the Korea National Health and Nutrition Examination Surveys (KNHANES). The dataset was divided into training (KNHANES 2017–2020) and validation (KNHANES 2021) datasets. …”
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5840