Exposure to multiple metals in adults and diabetes mellitus: a cross-sectional analysis

Wu, Zhen; Guan, Ting; Cai, Dandan; Su, G.H.

doi:10.1007/s10653-022-01411-9

Cited by 8 publications

(6 citation statements)

References 53 publications

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“…These results strengthen research in China, which states that Pb serum levels were correlated with reproductive hormones, while reproductive hormones were not correlated with FBS level. These results are different from another study showing that blood Pb concentration will increase FBS levels and the risk of DM [13,14,37,38].…”

Section: Discussioncontrasting

confidence: 99%

Relationship between blood lead (Pb) concentration with risk of diabetes mellitus in women living in mining area

Luthviatin,

Setiani,

Widjarnarko

et al. 2024

Narra J

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Diabetes is a global health concern with significant implications for individuals and societies. Diabetes results from a complex interaction between genes and environmental factors, including metal exposure. Lead or plumbum (Pb) is a heavy metal pollutant and is predicted to be associated with the morbidity of diabetes. The aim of this study was to assess the relationship between blood Pb level and possible risk factors (body mass index insulin resistance, carbohydrate intake, sugar intake, and physical activity) with fasting blood sugar (FBS) level in women living in the mining area. A cross-sectional study was conducted in a mining area of Indonesia located in Pemali District, Bangka Belitung Regency, involving women aged 30–49, selected through purposive sampling. Logistic regression was used to assess the relationship between the risk factors and FBS level, while the Spearman correlation was used to analyze the correlations between the risk factors and FBS level. Our data indicated that blood Pb concentration and other risk factors (carbohydrate intake, sugar intake and physical activity) were neither associated nor correlated with FBS level. However, as predicted, insulin resistance was associated with FBS level with OR: 9.66; 95%CI: 1.13–82.29; p=0.038. In addition, the Homeostatic Model Assessment Insulin Resistance (HOMA-IR) score was also correlated with FBS level (r=0.316, p=0.002). This study highlights the level of Pb is not associated with the risk of diabetes in women living in mining area.

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Section: Discussioncontrasting

confidence: 99%

Relationship between blood lead (Pb) concentration with risk of diabetes mellitus in women living in mining area

Luthviatin,

Setiani,

Widjarnarko

et al. 2024

Narra J

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“…One study found that co-exposure to Cd, arsenic, nickel, selenium, and zinc was associated with the elevated fasting blood glucose in community-based Chinese adults ( Li et al, 2019 ). In addition, epidemiological research displayed generally positive associations of metal mixture exposure with diabetes, and with HbA 1c levels, including Mn, selenium, Pb, zinc, Cd, copper, and mercury ( Wu et al, 2022 ). The toxicity effect of metal mixture exposure is additive and even be magnified due to competitive absorption and bioavailability ( Wu et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Association between metal mixture exposure and abnormal glucose metabolism in multiple mixture exposure models: Evidence from NHANES 2015–2016

Zhu,

Hu,

Wang

et al. 2023

Current Research in Toxicology

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“…Blood samples were stored under appropriate frozen conditions until they are shipped to National Center for Environmental Health for testing. 12 The sample volume required for analysis is 500 uL to allow sufficient material for initial analysis and repeat. Vitamin A (retinol), vitamin C (ascorbic acid), vitamin E (alpha-tocopherol), vitamin D (25-hydroxyvitamin D 2 + 25-hydroxyvitamin D 3 ) were measured in serum samples.…”

Section: Methodsmentioning

confidence: 99%

Association between vitamin levels and obesity in the national health and nutrition examination surveys 2017 to 2018

Lu,

Sun

2023

J Dev Orig Health Dis

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In recent years, the rapidly increasing incidence of obesity is becoming a worldwide public health problem. Obesity is a chronic disease which may have a major negative effect on the people’s quality of life. Previous studies on the comprehensive effects of multivitamins on central obesity and general obesity are relatively few. The aim of this study was to evaluate association of vitamins exposure with obesity risk and obesity-related indicators. We fitted three statistical models (linear regression model, logistic regression model, and Bayesian kernel machine regression model) to evaluate the correlation between vitamin levels and obesity in the study population. The vitamin score represents the overall level of vitamin in serum, which was mutually verified with the results obtained from statistical model. The vitamin (A, C, and D) levels were significantly higher among non-obesity group compared to the obesity group. Using the lowest quartile of vitamin level as a referent, vitamin A, C, and D levels showed significantly negative correlation with the obesity risk in both adjusted and unadjusted models. When considering all vitamin as a mixed exposure, we found a generally negative relationship between vitamin mixtures with binary outcome (obesity) and continuous outcome (BMI, waist circumference, and hsCRP). Reduced levels of vitamins (A, C and D) increased the risk of obesity. Increased levels of vitamin mixtures can significantly reduce obesity risk and obesity-related indicators. Vitamins may reduce the risk of obesity by suppressing inflammatory responses.

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Exposure to multiple metals in adults and diabetes mellitus: a cross-sectional analysis

Cited by 8 publications

References 53 publications

Relationship between blood lead (Pb) concentration with risk of diabetes mellitus in women living in mining area

Relationship between blood lead (Pb) concentration with risk of diabetes mellitus in women living in mining area

Association between metal mixture exposure and abnormal glucose metabolism in multiple mixture exposure models: Evidence from NHANES 2015–2016

Association between vitamin levels and obesity in the national health and nutrition examination surveys 2017 to 2018

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