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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 8
Aug.  2023
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Article Contents
HE Pei, WANG Rui, DUAN Siyu, WANG Yuhua, BAI Meili, SUN Jian, YANG Huifang. Association of urinary iron and arsenic levels with dyslipidemia in community-dwelling elderly in Yinchuan[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 877-882. doi: 10.16462/j.cnki.zhjbkz.2023.08.002
Citation: HE Pei, WANG Rui, DUAN Siyu, WANG Yuhua, BAI Meili, SUN Jian, YANG Huifang. Association of urinary iron and arsenic levels with dyslipidemia in community-dwelling elderly in Yinchuan[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 877-882. doi: 10.16462/j.cnki.zhjbkz.2023.08.002

Association of urinary iron and arsenic levels with dyslipidemia in community-dwelling elderly in Yinchuan

doi: 10.16462/j.cnki.zhjbkz.2023.08.002
Funds:

Natural Science Foundation of Ningxia 2022AAC05028

Special Talents Start-up Project of Ningxia Medical University XT2019013

More Information
  • Corresponding author: YANG Huifang, E-mail: joyceyhf@163.com
  • Received Date: 2022-05-15
  • Rev Recd Date: 2022-07-28
  • Available Online: 2023-09-02
  • Publish Date: 2023-08-10
  •   Objective  To explore the relationship between urinary iron and arsenic content and dyslipidemia in community-dwelling elderly people in Yinchuan City, and to provide scientific environmental epidemiological evidence for the formulation of dyslipidemia prevention strategies.  Methods  The baseline population of the Yinchuan Chronic Disease Cohort for the Elderly was selected as the study population. The general demographic information was collected through questionnaires, and blood lipids, blood pressure and liver function were measured through health checkups. We also collected 10 mL of morning urine at the baseline survey. The concentration of iron and arsenic in the urine of the study subjects was determined using an inductively coupled plasma- mass spectrometry and the anhydride was corrected with urine muscles. The association between urinary iron and arsenic levels and the prevalence of dyslipidemia was analyzed by conditional logistic regression.  Results  Urinary iron concentration in elderly people in the dyslipidemia group (115.97 μg/g creatinine) was lower than that in the healthy control group (139.11 μg/g creatinine), and the difference was statistically significant (Z=3.405, P < 0.001); urinary arsenic concentration in elderly people in the dyslipidemia group (77.25 μg/g creatinine) was higher than that in the healthy control group (67.45 μg/g creatinine), and the difference was statistically significant (Z=-3.269, P=0.001). Multiple logistic regression analysis showed that after adjusting for covariates, urinary Fe (OR=0.68, 95% CI: 0.57-0.82, P < 0.001) concentration was negatively associated with dyslipidemia in the elderly, and urinary As (OR=1.32, 95% CI: 1.09-1.59, P=0.001) concentration was positively associated with dyslipidemia in the elderly and showed a dose-response relationship (all Ptrend≤0.001). Stratified analysis by gender found that in the male population, compared with the Q1 group, the ORs and their 95% CIs for dyslipidemia were 0.68 (0.52-0.88), 0.70 (0.54-0.92), and 0.59 (0.45-0.79) for urinary iron in the Q2, Q3, and Q4 groups, respectively, and urinary arsenic in the Q2, Q3, and Q4 groups ORs for dyslipidemia and their 95% CIs were 1.08 (0.84-1.40), 1.31 (1.01-1.71), and 1.85 (1.38-2.47), respectively. For the female population, the ORs for dyslipidemia and their 95% CIs were 0.76 (0.59-0.98) for the group with urinary iron at the Q4 group only compared with the Q1 group.  Conclusions  Higher urinary iron concentrations in community-dwelling older adults may reduce the risk of dyslipidemia in Yinchuan; higher urinary arsenic concentrations may increase the risk of dyslipidemia, and this association is more pronounced in the male population.
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