Association between the urinary nickel and the diastolic blood pressure in general population

Liu, Yihai; Wu, Mingyue; Xu, Biao; Kang, Lina

doi:10.1016/j.chemosphere.2021.131900

Cited by 17 publications

(6 citation statements)

References 32 publications

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“…Furthermore, Pb exposure raises the risk of lung, stomach, and bladder cancer [ 98 ]. Additionally, Ni toxicity causes headaches [ 99 ], gastrointestinal manifestations [ 100 ], cardiovascular diseases, and cancer [ 101 ]. In 2020, the provincial health office of the island province reported cancer deaths mainly from the municipalities of Mogpog and Sta.…”

Section: Discussionmentioning

confidence: 99%

In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods

Senoro

Jesus

Nolos

et al. 2022

Toxics

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The domestic water (DW) quality of an island province in the Philippines that experienced two major mining disasters in the 1990s was assessed and evaluated in 2021 utilizing the heavy metals pollution index (MPI), Nemerow’s pollution index (NPI), and the total carcinogenic risk (TCR) index. The island province sources its DW supply from groundwater (GW), surface water (SW), tap water (TP), and water refilling stations (WRS). This DW supply is used for drinking and cooking by the population. In situ analyses were carried out using an Olympus Vanta X-ray fluorescence spectrometer (XRF) and Accusensing Metals Analysis System (MAS) G1 and the target heavy metals and metalloids (HMM) were arsenic (As), barium (Ba), copper (Cu), iron (Fe), lead (Pb), manganese (Mn), nickel (Ni), and zinc (Zn). The carcinogenic risk was evaluated using the Monte Carlo (MC) method while a machine learning geostatistical interpolation (MLGI) technique was employed to create spatial maps of the metal concentrations and health risk indices. The MPI values calculated at all sampling locations for all water samples indicated a high pollution. Additionally, the NPI values computed at all sampling locations for all DW samples were categorized as “highly polluted”. The results showed that the health quotient indices (HQI) for As and Pb were significantly greater than 1 in all water sources, indicating a probable significant health risk (HR) to the population of the island province. Additionally, As exhibited the highest carcinogenic risk (CR), which was observed in TW samples. This accounted for 89.7% of the total CR observed in TW. Furthermore, all sampling locations exceeded the recommended maximum threshold level of 1.0 × 10−4 by the USEPA. Spatial distribution maps of the contaminant concentrations and health risks provide valuable information to households and guide local government units as well as regional and national agencies in developing strategic interventions to improve DW quality in the island province.

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Section: Discussionmentioning

confidence: 99%

In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods

Senoro

Jesus

Nolos

et al. 2022

Toxics

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“…In a study of Chinese occupational workers, higher levels of Ni exposure were associated with an increased risk of diabetes [ 50 ]. Ni exposure was also associated with decreased diastolic blood pressure [ 25 ]. In a study of 88 healthy students, higher concentrations of Ni in PM2.5 components were associated with higher HDL-C [ 51 ], which was consistent with our first sensitivity analysis (model 3).…”

Section: Discussionmentioning

confidence: 99%

“…Based on the existing evidence from previous studies, the association between Ni exposure and blood lipids remains largely unclear and the mediating role of BMI in this association needs to be further elucidated. Using the representative and large-scale US population-based National Health and Nutrition Examination Survey (NHANES 2017-March 2020) data, the present study aimed to investigate the mediation role of BMI on the association between urinary Ni (U-Ni) level, a commonly used and long-term biomarker of individual Ni exposure [ 25 ], and serum lipid profiles in the general population.…”

Section: Introductionmentioning

confidence: 99%

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Wang

Shan²,

Jiang³

et al. 2022

Biol Trace Elem Res

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The objective of this study was to determine the relationship of urinary nickel (U-Ni) exposure to serum lipid profiles and the mediation effect of body mass index (BMI) in a US general population. We analyzed the cross-sectional data from 3517 participants in the National Health and Nutrition Examination Survey (NHANES) (2017-March 2020). Multivariable linear regression and restricted cubic spline (RCS) regression were conducted to explore the association of U-Ni with four serum lipids and four lipids-derived indicators. Mediation analysis was performed to examine the effect of BMI on the relationship between U-Ni levels and serum lipid profiles. Compared with the lowest quartile, the β with 95% confidence intervals (CIs) in the highest quartile were − 12.83 (− 19.42, − 6.25) for total cholesterol (TC) ( P for trend < 0.001), − 12.76 (− 19.78, − 5.74) for non-high-density lipoprotein cholesterol (non-HDL-C) ( P for trend = 0.001) and − 0.29 (− 0.51, − 0.07) for TC/HDL-C ( P for trend = 0.007) in the fully adjusted model. RCS plots showed the linear association of log 2 -transformed U-Ni levels with TC, non-HDL-C and TC/HDL-C ( P for nonlinearity = 0.294, 0.152, and 0.087, respectively). Besides, BMI decreased monotonically in correlation with increasing U-Ni levels ( P for trend < 0.001). Mediation analysis revealed that BMI significantly mediated the relationship of U-Ni to TC, non-HDL-C and TC/HDL-C with mediated proportions of 11.17%, 22.20% and 36.44%, respectively. In summary, our findings suggest that BMI mediates the negative association of U-Ni with TC, non-HDL-C, and TC/HDL-C in the US general population. Supplementary Information The online version contains supplementary material available at 10.1007/s12011-022-03375-4.

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“…We selected data consistent with previous studies (Liao et al, 2020;Liu et al, 2021) and current NHANES guidelines. Data on demographic characteristics, body examinations, medication use, and socioeconomic background were selected as appropriate.…”

Section: Additional Datamentioning

confidence: 99%

Association Between Blood Ethylene Oxide Levels and The Prevalence of Hypertension

Cao

Wang

et al. 2021

Preprint

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The relationship of blood ethylene oxide levels with hypertension and blood pressure has not been addressed. A total of 5005 participants from the National Health and Nutrition Examination Survey (NHANES) 2013–2016 were enrolled. Hypertension was defined as a mean systolic blood pressure (SBP) of at least 140 mmHg, a mean diastolic blood pressure (DBP) of at least 90 mmHg, or both, and/or the self-reported use of prescription drugs for diagnosed hypertension. Generalized linear regression models and restricted cubic spline plots were performed to explore the associations of ethylene oxide levels with hypertension and blood pressure. The prevalence of hypertension in the study sample was 27.6%. After adjusting for cofounding factors, compared with the lowest quantile, the odds ratios (ORs) with 95% confidence intervals (CIs) of hypertension across the quantiles of ethylene oxide levels were 0.80 (0.63, 1.03), 0.91 (0.71, 1.16), and 1.39 (1.06, 1.82), respectively (P for trend 0.001). Compared with the lowest quantile, the highest quantile of blood ethylene oxide levels was significantly associated with the worst DBP profile by approximately 2.67 mmHg. Blood ethylene oxide levels showed a strong nonlinear and positive association with DBP, while no significant association was observed between blood ethylene oxide levels and SBP. These results provide epidemiological evidence of elevated blood levels of ethylene oxide in relation to a higher prevalence of hypertension and higher DBP. Further study is warranted to address these issues.

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Association between the urinary nickel and the diastolic blood pressure in general population

Cited by 17 publications

References 32 publications

In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods

In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Association Between Blood Ethylene Oxide Levels and The Prevalence of Hypertension

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