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      Association of blood cobalt concentrations with dyslipidemia, hypertension, and diabetes in a US population : A cross-sectional study

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          Abstract

          Various heavy metal elements in the human body have been reported to be associated with dyslipidemia, hypertension, and diabetes. The role of cobalt in these conditions is unclear. The current study aimed to investigate the association of blood cobalt concentrations with dyslipidemia, hypertension, and diabetes.

          Using the data collected from the National Health and Nutrition Examination Survey (2015-2018), we performed logistic regression to explore the association of blood cobalt concentrations with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, hypertension, and diabetes.

          A total of 6866 adults were included in this study. Participants with higher blood cobalt levels appeared to be older and have a lower body mass index and, were more likely to be female ( P for trend < .05). After fully adjusting for demographic characteristics (Model 2), compared with the lowest quartile, the highest quartile of blood cobalt concentrations had lower odds ratios (ORs) for elevated TC [OR: 0.62, 95% confidential interval (CI): 0.53 to 0.72, P < .001], elevated LDL-C (OR: 0.65, 95% CI: 0.53-0.80, P < .001) and low HDL-C (OR: 0.81, 95% CI: 0.69-0.96, P = .013). The adjusted ORs for elevated TC, elevated LDL-C and low HDL-C were negatively correlated with increased blood cobalt concentrations ( P for trend < .05). The adjusted ORs for hypertension and diabetes were not associated with blood cobalt concentrations ( P > .05 and P for trend > .05).

          In conclusion, higher blood cobalt concentrations were associated with a lower risk of dyslipidemia. However, blood cobalt concentrations were not associated with the risk of hypertension or diabetes.

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          Most cited references48

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          Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

          Circulation, 139(10)
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            National health and nutrition examination survey: sample design, 2011-2014.

            Background Data collection for the National Health and Nutrition Examination Survey (NHANES) consists of a household screener, an interview, and a physical examination. The screener primarily determines whether any household members are eligible for the interview and examination. Eligibility is established using preset selection probabilities for the desired demographic subdomains. After an eligible sample person is selected, the interview collects person-level demographic, health, and nutrition information, as well as information about the household. The examination includes physical measurements, tests such as hearing and dental examinations, and the collection of blood and urine specimens for laboratory testing. Objectives This report provides some background on the NHANES program, beginning with the first survey cycle in the 1970s and highlighting significant changes since its inception. The report then describes the broad design specifications for the 2011-2014 survey cycle, including survey objectives, domain and precision specifications, and operational requirements unique to NHANES. The report also describes details of the survey design, including the calculation of sampling rates and sample selection methods. Documentation of survey content, data collection procedures, estimation methods, and methods to assess nonsampling errors are reported elsewhere.
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              Cobalt

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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                14 January 2022
                14 January 2022
                : 101
                : 2
                : e28568
                Affiliations
                [a ]Department of Neurology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
                [b ]Department of Neurology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
                [c ]Department of ENT (Ear-Nose-Throat), Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
                [d ]Medical Imaging Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
                [e ]Department of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
                Author notes
                []Correspondence: Yanshuang Li, Jinan Central Hospital, Cheeloo College of Medicine, Jinan, Shandong, China (e-mail: lyansh@ 123456163.com ).
                Author information
                http://orcid.org/0000-0002-4505-5473
                Article
                MD-D-20-11018 28568
                10.1097/MD.0000000000028568
                8757996
                35029227
                4af2f7aa-f049-44d1-bc52-d0dcdfc3736b
                Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0

                History
                : 8 November 2020
                : 20 November 2021
                : 22 December 2021
                Funding
                Funded by: Key Technology Research and Development Program of Shandong
                Award ID: 2019GSF108264
                Award Recipient : Hongxin Wang
                Categories
                4400
                Research Article
                Observational Study
                Custom metadata
                TRUE

                cobalt,diabetes,dyslipidemia,hypertension,nhanes
                cobalt, diabetes, dyslipidemia, hypertension, nhanes

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