Volume 44 Issue 4
Apr.  2023
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Xiufang WANG, Hongling SHI, Wengang ZHOU, Tianyun LIU, Weimei ZHU, Yanhui FENG, Kerong CHEN, Sheng ZHOU. Analysis on the Blood Lead Levels and It’s Association with Hypertension in 176 Non-occupational Adult Patients[J]. Journal of Kunming Medical University, 2023, 44(4): 106-111. doi: 10.12259/j.issn.2095-610X.S20230424
Citation: Xiufang WANG, Hongling SHI, Wengang ZHOU, Tianyun LIU, Weimei ZHU, Yanhui FENG, Kerong CHEN, Sheng ZHOU. Analysis on the Blood Lead Levels and It’s Association with Hypertension in 176 Non-occupational Adult Patients[J]. Journal of Kunming Medical University, 2023, 44(4): 106-111. doi: 10.12259/j.issn.2095-610X.S20230424

Analysis on the Blood Lead Levels and It’s Association with Hypertension in 176 Non-occupational Adult Patients

doi: 10.12259/j.issn.2095-610X.S20230424
  • Received Date: 2022-05-31
    Available Online: 2023-04-14
  • Publish Date: 2023-04-25
  •   Objective  To investigate the blood lead level and its distribution in non-occupational adults, and to analyze the association of excessive blood lead with hypertension.   Methods  The concentration of lead in blood was detected by GFAAS, and the potential factors affecting blood lead level and the prevalence of hypertension were collected by questionnaire. Rank sum test, chi-square test, Logistic regression, and the restrictive Cubic Spline (RCS) of Logistic regression were used to analyze the influencing factors of excess lead in blood and its association with hypertension.   Results  The median and quartile spacing (M±Q) of blood lead levels in non-occupational adults was (0.031±0.020) mg/L, and the blood lead exceedance rate was 13.07%. The results of univariate logistic regression analysis showed that the probability of excessive blood lead in non-occupational adults aged > 60 years was 88% lower than that in those aged ≤60 years (P < 0.05); the probability of excessive blood lead in alcohol consumption was 3.014 times higher than that in non-alcohol consumption (P < 0.05); and excessive blood lead would lead to 2.87 times higher prevalence of hypertension (P < 0.05). Restricted cubic spline model combined with the multi-factor logistic regression analysis results show that the incidence of blood lead levels will increase the probability of hypertension by 7.66 times. When the blood lead level was ≥0.031 mg/L, there was a significant nonlinear dose-response relationship between the common logarithm of blood lead (lgpb) and hypertension (global correlation test χ2 = 10.26, P = 0.001, nonlinear test χ2 = 8.87, P = 0.012), and the prevalence of hypertension showed a significant increase with the increase of blood lead content.   Conclusion  Excessive blood lead level in non-occupational adults will increase the prevalence of hypertension. High risk groups should have regular physical examination, strengthen the understanding of high risk factors of excessive lead, reduce exposure, and reduce the damage of excessive blood lead.
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