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Zhan R, Liu L, Yang M, Ren Y, Ge Z, Shi J, Zhou K, Zhang J, Cao H, Yang L, Liu K, Sheng J, Tao F, Wang S. Associations of 10 trace element levels in the whole blood with risk of three types of obesity in the elderly. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:9787-9806. [PMID: 37847362 DOI: 10.1007/s10653-023-01747-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 08/29/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Currently, over 2 billion people worldwide suffer from obesity, which poses a serious health risk. More and more attention is being given to the effects of trace elements on obesity in recent years. Synergistic or antagonistic interactions among these elements can adversely or positively impact human health. However, epidemiological evidence on the relationship between trace element exposure levels and obesity has been inconclusive. METHODS Baseline data of 994 participants from the Cohort of Elderly Health and Environment Controllable Factors were used in the present study. ICP-MS was used to measure the concentrations of 10 trace elements in the whole blood of the older population. Binary logistic regression, restricted cubic splines (RCS) models, and Bayesian kernel machine regression (BKMR) models were employed to assess single, nonlinear, and mixed relationships between 10 trace element levels and three types of obesity based on body mass index (BMI), waist circumference (WC), and body fat percentage (BFP) in the elderly. RESULTS Based on BMI, WC and BFP, 51.8% of the included old population were defined as general overweight/obesity, 67.1% as abdominal obesity, and 36.2% as having slightly high/high BFP. After multivariable adjustment, compared with the lowest tertile, the highest tertile of blood selenium (Se) concentration was associated with an increased risk of all three types of obesity. Additionally, compared with the lowest tertile, higher tertiles of strontium (Sr) concentrations were associated with a lower risk of general overweight/obesity and having slightly high/high BFP, and the highest tertile of barium (Ba) was associated with a lower risk of having slightly high BFP, while higher tertiles of arsenic (As) concentrations were associated with an increased risk of having slightly high/high BFP, and the highest tertile of manganese (Mn) was associated with a higher risk of abdominal obesity. BKMR analyses showed a strong linear positive association between Se and three types of obesity. Higher blood levels of trace element mixture were associated with increased obesity risks in a dose-response pattern, with Se having the highest value of the posterior inclusion probability (PIP) within the mixture. CONCLUSIONS In this study, we found higher Se levels were associated with an elevated risk of obesity and high levels of Ba, Pb and Cr were associated with a decreased risk of obesity. Studies with larger samples are needed to confirm these findings.
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Affiliation(s)
- Rui Zhan
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lin Liu
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Maoyuan Yang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yating Ren
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Zhihao Ge
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jun Shi
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ke Zhou
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jiebao Zhang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Hongjuan Cao
- Lu'an Center of Disease Control and Prevention, Lu'an, Anhui, China
| | - Linsheng Yang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Kaiyong Liu
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jie Sheng
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Sufang Wang
- School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental, Toxicology of Anhui Higher Education Institutes, No 81 Meishan Road, Hefei, 230032, Anhui, China.
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Li J, Xiao C, Yang H, Zhou Y, Wang R, Cao Y. Anemia and Iron Status Among Different Body Size Phenotypes in Chinese Adult Population: a Nation-Wide, Health and Nutrition Survey. Biol Trace Elem Res 2018; 185:1-10. [PMID: 29224080 DOI: 10.1007/s12011-017-1213-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 11/28/2017] [Indexed: 12/18/2022]
Abstract
Previous studies have shown that there is a controversial relationship between iron homeostasis and obesity. This study aims to explore the relationship of anemia and iron status with different body size phenotypes in adult Chinese population. Using information on iron status-related parameters and lifestyle data from 8462 participants of the 2009 wave of China Health and Nutrition Survey (2009 CHNS), we performed multivariable logistic regression analyses to estimate the odds ratios (ORs) for the risk of anemia and iron parameters according to different body size phenotypes. Participants with higher body mass index (BMI) had a lower anemia prevalence with significant trends in both metabolic status groups (P < 0.001). Serum ferritin, transferrin, and soluble transferrin receptor (sTfR)/log ferritin index were significant in different metabolic status groups and in different body size phenotypes, respectively. The ORs for higher ferritin and transferrin increased across different body size phenotypes in both genders, and for sTfR/log ferritin index decreased (P < 0.01 for trend). This association was still statistically significant after adjustment for multiple confounders. We found an inverse association of BMI levels with the prevalence of anemia and strong association of serum ferritin and transferrin with higher risk of obesity or overweight in both metabolic status groups.
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Affiliation(s)
- Jiang Li
- Department of Laboratory Medicine, China-Japan Friendship Hospital, No. 2 Yinghua East Rd, Beijing, 100029, China.
| | - Cheng Xiao
- China-Japan Friendship Hospital, Institute of Clinical Medicine, Beijing, 100029, China
| | - Hui Yang
- Department of Laboratory Medicine, China-Japan Friendship Hospital, No. 2 Yinghua East Rd, Beijing, 100029, China
| | - Yun Zhou
- Department of Laboratory Medicine, China-Japan Friendship Hospital, No. 2 Yinghua East Rd, Beijing, 100029, China
| | - Rui Wang
- Blood Screening Laboratory, Beijing Red Cross Blood Center, Beijing, 100088, China
| | - Yongtong Cao
- Department of Laboratory Medicine, China-Japan Friendship Hospital, No. 2 Yinghua East Rd, Beijing, 100029, China.
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