Ruihua Dong1, Tong Zhou2, Shanzhen Zhao3, Han Zhang1, Meiru Zhang1, Jingsi Chen1, Min Wang3, Min Wu1, Shuguang Li1, Bo Chen4. 1. Key Laboratory of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai, China. 2. Shanghai Institutes of Preventive Medicine, China. 3. Shanghai Entry-Exit Inspection and Quarantine Bureau, Shanghai, China. 4. Key Laboratory of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai, China. Electronic address: chenb@fudan.edu.cn.
Abstract
BACKGROUND: Diet is considered to be a significant exposure pathway for phthalates. In this study, we assessed the associations between food consumption and urinary concentrations of phthalate metabolites among Shanghai adults. METHODS: A cross-sectional study involving 2418 participants was conducted in the fall of 2012. Recent food consumption was assessed by a 24-h dietary recall survey, and a Food Frequency Questionnaire (FFQ) characterized long-term dietary patterns. Urinary metabolites of six phthalates were measured. RESULTS: Both the 24-h recall survey and FFQ identified wheat, dairy, and fruits as being positively associated with the excretion of phthalate metabolites. The 24-h recall data also showed positive associations with processed meats and alcohol. We evaluated the impact of reported consumption of multiple food categories simultaneously (wheat, fruits, meats, etc.) on metabolite excretion and found that, as more food types were consumed, the number of metabolites excreted, as well as their concentrations, increased with high significance (p values<0.0001). We also evaluated the two survey instruments together. When both surveys reported consumption of fruits and dairy, the numbers of metabolites and their concentrations were significantly higher compared to when both surveys reported non-consumption, (p values<0.000001). Rice consumption was found to be negatively associated with phthalate excretion; frequent and high levels of rice consumption were found to be associated with lower excretion of metabolites. CONCLUSION: Food consumption was associated with phthalate exposure in Shanghai adults. Both 24-h recall and FFQ identified significant associations between consumption of food types and phthalate exposure.
BACKGROUND: Diet is considered to be a significant exposure pathway for phthalates. In this study, we assessed the associations between food consumption and urinary concentrations of phthalate metabolites among Shanghai adults. METHODS: A cross-sectional study involving 2418 participants was conducted in the fall of 2012. Recent food consumption was assessed by a 24-h dietary recall survey, and a Food Frequency Questionnaire (FFQ) characterized long-term dietary patterns. Urinary metabolites of six phthalates were measured. RESULTS: Both the 24-h recall survey and FFQ identified wheat, dairy, and fruits as being positively associated with the excretion of phthalate metabolites. The 24-h recall data also showed positive associations with processed meats and alcohol. We evaluated the impact of reported consumption of multiple food categories simultaneously (wheat, fruits, meats, etc.) on metabolite excretion and found that, as more food types were consumed, the number of metabolites excreted, as well as their concentrations, increased with high significance (p values<0.0001). We also evaluated the two survey instruments together. When both surveys reported consumption of fruits and dairy, the numbers of metabolites and their concentrations were significantly higher compared to when both surveys reported non-consumption, (p values<0.000001). Rice consumption was found to be negatively associated with phthalate excretion; frequent and high levels of rice consumption were found to be associated with lower excretion of metabolites. CONCLUSION: Food consumption was associated with phthalate exposure in Shanghai adults. Both 24-h recall and FFQ identified significant associations between consumption of food types and phthalate exposure.
Authors: Shao-Hui Zhang; Ya-Xin Shen; Lin Li; Tong-Tong Fan; Yan Wang; Ning Wei Journal: Environ Sci Pollut Res Int Date: 2018-03-27 Impact factor: 4.223
Authors: Ruihua Dong; Shanzhen Zhao; Han Zhang; Jingsi Chen; Meiru Zhang; Min Wang; Min Wu; Shuguang Li; Bo Chen Journal: Int J Environ Res Public Health Date: 2017-06-05 Impact factor: 3.390