Literature DB >> 31442947

Dietary cadmium intake and risk of cutaneous melanoma: An Italian population-based case-control study.

Tommaso Filippini1, Carlotta Malagoli1, Lauren A Wise2, Marcella Malavolti1, Giovanni Pellacani3, Marco Vinceti4.   

Abstract

INTRODUCTION: Exposure to the heavy metal cadmium has been associated with many adverse health effects, such as atherosclerosis, diabetes, and cancer, possibly melanoma. In non-occupationally exposed individuals, food intake is a major source of cadmium exposure, after smoking. We aimed to assess the risk of melanoma in relation to dietary cadmium intake.
METHODS: Using a population-based case-control study design, we recruited 380 incident cases of newly-diagnosed cutaneous melanoma and 719 matched controls in the Emilia-Romagna Region, Northern Italy in the years 2005-2006. We evaluated dietary intake using a semi-quantitative food frequency questionnaire. We used conditional logistic regression to compute odds ratios (ORs) and 95% confidence intervals (CIs) for melanoma according to quintiles of dietary cadmium intake, adjusting for several potential confounders, and we modeled the association non-parametrically, using restricted cubic splines.
RESULTS: Median energy-adjusted intake of cadmium was 6.11 μg/day (interquartile range 5.38-6.91) among cases and 5.97 μg/day (5.15-6.79) among controls. For each 1 μg/day-increase in cadmium intake, the OR for melanoma was 1.11 (95% CI 1.00-1.24). Melanoma risk generally increased with increasing quintile of cadmium exposure, with ORs of 1.55 (95% CI 0.99-2.42), 1.54 (95% CI 0.99-2-40), 1.75 (95% CI 1.12-2.75), and 1.65 (95% CI 1.05-2.61) for the second through fifth quintiles, compared with the lowest quintile. Sex-stratified analysis showed ORs per 1 μg/day-increase in cadmium intake of 1.10 (95% CI 0.93-1-29) among men and 1.15 (95% CI 0.99-1.33) among women. Using spline regression analysis, we observed a generally linear increase in melanoma risk up to 6 μg/day of cadmium intake, after which the risk appeared to plateau.
CONCLUSIONS: We observed a positive non-linear association between dietary cadmium intake and risk of cutaneous melanoma in a Northern Italy population. However, further studies are needed to elucidate this association, due to concerns about exposure misclassification, unmeasured confounding, and the limited and conflicting evidence from epidemiological findings.
Copyright © 2019 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Cadmium; Case-control study; Diet; Melanoma; Risk; Spline

Mesh:

Substances:

Year:  2019        PMID: 31442947     DOI: 10.1016/j.jtemb.2019.08.002

Source DB:  PubMed          Journal:  J Trace Elem Med Biol        ISSN: 0946-672X            Impact factor:   3.849


  5 in total

1.  Analysis of Cadmium, Mercury, and Lead Concentrations in Erythrocytes of Renal Transplant Recipients from Northwestern Poland.

Authors:  Aleksandra Wilk; Maciej Romanowski; Barbara Wiszniewska
Journal:  Biology (Basel)       Date:  2021-01-16

2.  Dietary Habits and Risk of Early-Onset Dementia in an Italian Case-Control Study.

Authors:  Tommaso Filippini; Giorgia Adani; Marcella Malavolti; Caterina Garuti; Silvia Cilloni; Giulia Vinceti; Giovanna Zamboni; Manuela Tondelli; Chiara Galli; Manuela Costa; Annalisa Chiari; Marco Vinceti
Journal:  Nutrients       Date:  2020-11-29       Impact factor: 5.717

3.  Food and Beverage Consumption and Melanoma Risk: A Population-Based Case-Control Study in Northern Italy.

Authors:  Carlotta Malagoli; Marcella Malavolti; Francesca Farnetani; Caterina Longo; Tommaso Filippini; Giovanni Pellacani; Marco Vinceti
Journal:  Nutrients       Date:  2019-09-12       Impact factor: 5.717

4.  Early-Life Exposure to Low-Dose Cadmium Accelerates Diethylnitrosamine and Diet-Induced Liver Cancer.

Authors:  Hongbo Men; Jamie L Young; Wenqian Zhou; Haina Zhang; Xiang Wang; Jianxiang Xu; Qian Lin; Yi Tan; Yang Zheng; Lu Cai
Journal:  Oxid Med Cell Longev       Date:  2021-11-28       Impact factor: 6.543

5.  A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products.

Authors:  Zuzheng Wang; Zhixiang Wu; Minke Zou; Xin Wen; Zheng Wang; Yuanzhang Li; Qingchuan Zhang
Journal:  Foods       Date:  2022-03-13
  5 in total

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