ArticleFrontiers in public health2022
Association between urinary metals and leukocyte telomere length involving an artificial neural network prediction: Findings based on NHANES 1999-2002.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 28 citations in OpenAlex.
- Mixture analysis of associations between environmental and workplace toxins and liver damage and telomere length, stratified by race/ethnicity.Journal of environmental sciences (China) · 2025Article
- Associations of essential trace metals with telomere length in general population: a cross-sectional study.Scientific reports · 2025Article
- Effects of molecular interactions between the exposome and oxylipin metabolism on healthspan.Frontiers in physiology · 2025Review
- Environmental exposure to perchlorate, nitrate, and thiocyanate in relation to biological aging in U.S. adults, a cross-sectional NHANES study.Frontiers in public health · 2025Article
- Association between sleep duration, depression and breast cancer in the United States: a national health and nutrition examination survey analysis 2009-2018.Annals of medicine · 2024Article
- Mapping the evolving trend of research on leukocyte telomere length: a text-mining study.Human genomics · 2024Article
- Global, regional, and national mortality of tuberculosis attributable to alcohol and tobacco from 1990 to 2019: A modelling study based on the Global Burden of Disease study 2019.Journal of global health · 2024Article
- Possible non-linear relation between prostate specific antigen and vitamin D: a machine learning study based on cross-section data.Journal of Cancer · 2024Article
- Analysis of the main indicators and risk factors of ultrasonic shear wave elastography for the diagnosis of osteoarthritis among adults.Frontiers in medicine · 2024Article
- Association of Serum Vitamin D With Periodontal Disease.International dental journal · 2023Article
- Associations between cadmium exposure and whole-body aging: mediation analysis in the NHANES.BMC public health · 2023Article
- Association between incubator standards and newborn nosocomial infection with machine-learning prediction.Translational pediatrics · 2023Article
- Identification of key genes, biological functions, and pathways of empagliflozin by network pharmacology and its significance in the treatment of type 2 diabetes mellitus.Annals of translational medicine · 2023Article
- Association between skin disease and anxiety: a logistic analysis and prediction.Annals of translational medicine · 2023Article
- A study on the correlation between patellofemoral joint morphology and early patella malacia in young adults: quantitative analysis based on magnetic resonance.Annals of translational medicine · 2023Article
- The Associations of Weekend Warrior Activity Patterns With the Visceral Adiposity Index in US Adults: Repeated Cross-sectional Study.JMIR public health and surveillance · 2023Article
- The association of blood metals with latent tuberculosis infection among adults and adolescents.Frontiers in nutrition · 2023Article
- Relationship between serum TGF- β 1, MMP-9 and IL-1β and pathological features and prognosis in breast cancer.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Leukocytes telomere length (LTL) was reported to be associated with cellular aging and aging related disease. Urine metal also might accelerate the development of aging related disease. We aimed to analyze the association between LTL and urinary metals. Methods: In this research, we screened all cycles of National Health and Nutrition Examination Survey (NHANES) dataset, and download the eligible dataset in NHANES 1999-2002 containing demographic, disease history, eight urine metal, and LTL. The analysis in this research had three steps including baseline difference comparison, multiple linear regression (MLR) for hazardous urine metals, and artificial neural network (ANN, based on Tensorflow framework) to make LTL prediction. Results: The MLR results showed that urinary cadmium (Cd) was negatively correlated with LTL in the USA population [third quantile: -9.36, 95% confidential interval (CI) = (-19.7, -2.32)], and in the elderly urinary molybdenum (Mo) was positively associated with LTL [third quantile: 24.37, 95%CI = (5.42, 63.55)]. An ANN model was constructed, which had 24 neurons, 0.375 exit rate in the first layer, 15 neurons with 0.53 exit rate in the second layer, and 7 neurons with 0.86 exit rate in the third layer. The squared error loss (LOSS) and mean absolute error (MAE) in the ANN model were 0.054 and 0.181, respectively, which showed a low error rate. Conclusion: In conclusion, in adults especially the elderly, the relationships between urinary Cd and Mo might be worthy of further research. An accurate prediction model based on ANN could be further analyzed.
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