Literature DB >> 28040261

Refinement of arsenic attributable health risks in rural Pakistan using population specific dietary intake values.

Hifza Rasheed1, Rebecca Slack2, Paul Kay3, Yun Yun Gong4.   

Abstract

BACKGROUND: Previous risk assessment studies have often utilised generic consumption or intake values when evaluating ingestion exposure pathways. If these values do not accurately reflect the country or scenario in question, the resulting risk assessment will not provide a meaningful representation of cancer risks in that particular country/scenario.
OBJECTIVES: This study sought to determine water and food intake parameters for one region in South Asia, rural Pakistan, and assess the role population specific intake parameters play in cancer risk assessment.
METHODS: A questionnaire was developed to collect data on sociodemographic features and 24-h water and food consumption patterns from a rural community. The impact of dietary differences on cancer susceptibility linked to arsenic exposure was evaluated by calculating cancer risks using the data collected in the current study against standard water and food intake levels for the USA, Europe and Asia. A probabilistic cancer risk was performed for each set of intake values of this study.
RESULTS: Average daily total water intake based on drinking direct plain water and indirect water from food and beverages was found to be 3.5Lday-1 (95% CI: 3.38, 3.57) exceeding the US Environmental Protection Agency's default (2.5Lday-1) and World Health Organization's recommended intake value (2Lday-1). Average daily rice intake (469gday-1) was found to be lower than in India and Bangladesh whereas wheat intake (402gday-1) was higher than intake reported for USA, Europe and Asian sub-regions. Consequently, arsenic-associated cumulative cancer risks determined for daily water intake was found to be 17 chances in children of 3-6years (95% CI: 0.0014, 0.0017), 14 in children of age 6-16years (95% CI: 0.001, 0.0011) and 6 in adults of 16-67years (95% CI: 0.0006, 0.0006) in a population size of 10,000. This is higher than the risks estimated using the US Environmental Protection Agency and World Health Organization's default recommended water intake levels. Rice intake data showed early life cumulative cancer risks of 15 chances in 10,000 for children of 3-6years (95% CI: 0.0012, 0.0015), 14 in children of 6-16years (95% CI: 0.0011, 0.0014) and later life risk of 8 adults (95% CI: 0.0008, 0.0008) in a population of 10,000. This is lower than the cancer risks in countries with higher rice intake and elevated arsenic levels (Bangladesh and India). Cumulative cancer risk from arsenic exposure showed the relative risk contribution from total water to be 51%, from rice to be 44% and 5% from wheat intake.
CONCLUSIONS: The study demonstrates the need to use population specific dietary information for risk assessment and risk management studies. Probabilistic risk assessment concluded the importance of dietary intake in estimating cancer risk, along with arsenic concentrations in water or food and age of exposed rural population.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer risk assessment; Dietary exposure; Rice intake; Risk assessment; Water consumption; Wheat intake

Mesh:

Substances:

Year:  2016        PMID: 28040261     DOI: 10.1016/j.envint.2016.12.018

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  6 in total

1.  Evolution of human health risk based on EPA modeling for adults and children and pollution level of potentially toxic metals in Rafsanjan road dust: a case study in a semi-arid region, Iran.

Authors:  Milad Mirzaei Aminiyan; Mohammed Baalousha; Farzad Mirzaei Aminiyan
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-08       Impact factor: 4.223

2.  Arsenic contamination, subsequent water toxicity, and associated public health risks in the lower Indus plain, Sindh province, Pakistan.

Authors:  Asfandyar Shahab; Shihua Qi; Muhammad Zaheer
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-18       Impact factor: 4.223

3.  Risk of exposure to total and inorganic arsenic by meat intake among different age groups from Brazil: a probabilistic assessment.

Authors:  Lucas Silva Azevedo; Inacio Abreu Pestana; Annaliza Carvalho Meneguelli-Souza; Bruno Ramos; Daniel Ribeiro Pessanha; Dayana Caldas; Marcelo Gomes Almeida; Cristina Maria Magalhaes de Souza
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-22       Impact factor: 4.223

Review 4.  A Comprehensive Review of Arsenic Exposure and Risk from Rice and a Risk Assessment among a Cohort of Adolescents in Kunming, China.

Authors:  Noelle Liao; Edmund Seto; Brenda Eskenazi; May Wang; Yan Li; Jenna Hua
Journal:  Int J Environ Res Public Health       Date:  2018-10-08       Impact factor: 3.390

5.  Biomonitoring of Aflatoxin B1 and Deoxynivalenol in a Rural Pakistan Population Using Ultra-Sensitive LC-MS/MS Method.

Authors:  Lei Xia; Michael N Routledge; Hifza Rasheed; Amir Ismail; Yao Dong; Tao Jiang; Yun Yun Gong
Journal:  Toxins (Basel)       Date:  2020-09-12       Impact factor: 4.546

6.  Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population.

Authors:  Lei Xia; Hifza Rasheed; Michael N Routledge; Hang Wu; Yun Yun Gong
Journal:  Toxins (Basel)       Date:  2022-03-04       Impact factor: 4.546

  6 in total

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