Bottled water contaminant exposures and potential human effects

Bradley, Paul M.; Romanok, Kristin M.; Smalling, Kelly L.; Focazio, Michael J.; Evans, Nicola; Fitzpatrick, Suzanne; Givens, Carrie E.; Gordon, Stephanie; Gray, James L.; Green, Emily M.; Griffin, Dale W.; Hladik, Michelle L.; Kanagy, Leslie K.; Lisle, John T.; Loftin, Keith A.; McCleskey, R. B.; Medlock-Kakaley, Elizabeth; Navas‐Acien, Ana; Roth, David A.; South, Paul M.; Weis, Christopher

doi:10.1016/j.envint.2022.107701

Cited by 11 publications

(3 citation statements)

References 122 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in Bolivia, Tsimane' who consumed more of their water from food sources relative to plain water, which was contaminated with pathogenic bacteria, had significantly lower probability of gastrointestinal illness (Rosinger & Tanner 2015). In the United States, distrust leads to the coping strategy of buying alternative sources, which results in shifts to hydration strategies such as bottled water and sugar-sweetened beverages (Bradley et al 2023, Javidi & Pierce 2018. This coping strategy has both socioeconomic implications (bottled water and sugary drinks are both more expensive than tap water) and human biology implications (exposure to contaminants, sugar, and stress surrounding finances).…”

Section: Embodiment Of Coping and Hydration Strategiesmentioning

confidence: 99%

“…Another water quality concern is salinity, which is a key integration of water needs and WI affected by climate change and anthropogenic effects and illustrates the implications of water quality Downloaded from www.annualreviews.org. (Bradley et al 2023). Increased salinization of water through seawater intrusion, road salting, water softeners, evaporation, and other sources has critical implications for human biology through water needs, WI, and the water sources that people use.…”

Section: Disrupting Forces: Lifestyle Changes and Climate Changementioning

confidence: 99%

See 1 more Smart Citation

Water Needs, Water Insecurity, and Human Biology

Rosinger

2023

Annu. Rev. Anthropol.

View full text Add to dashboard Cite

Water links the environment, culture, and biology. An integrative approach is needed to attain a complete picture of how water affects human biology due to its inherent interdisciplinary nature. First, this review describes advances in human water needs, thirst, and hydration strategies from a biocultural perspective. Second, it provides a critical appraisal of the literatures on water insecurity (WI) experiences and coping strategies used to mitigate WI to illustrate how they intersect to affect human biology through the embodiment framework. Deviations from water needs and heightened WI can alter hydration and coping strategies, which have implications for a suite of psychological and physiological outcomes. These disruptions are embodied in cellular damage, dehydration, nutrition, stress, mental health, cognitive impairment, aging-related effects, cardiometabolic health, and kidney function. Disrupting forces such as lifestyle changes and climate change have important implications for water needs, WI, coping and hydration strategies, and the embodiment of each. Expected final online publication date for the Annual Review of Anthropology, Volume 52 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

show abstract

Section: Embodiment Of Coping and Hydration Strategiesmentioning

confidence: 99%

Section: Disrupting Forces: Lifestyle Changes and Climate Changementioning

confidence: 99%

Water Needs, Water Insecurity, and Human Biology

Rosinger

2023

Annu. Rev. Anthropol.

View full text Add to dashboard Cite

show abstract

“…These tests are conducted by government agencies and independent organizations, and the results are made available to the public. However, even with regular testing, it can be difficult to detect all contaminants in water [5][6][7][8]. This is where machine learning comes in.…”

Section: Introductionmentioning

confidence: 99%

Potable Water Identification with Machine Learning: An Exploration of Water Quality Parameters

Mohan¹,

Dileep

Bhuria

et al. 2023

IJRITCC

View full text Add to dashboard Cite

In this research, we aim to determine the water potability using three machine learning classification algorithms: decision tree, gradient boosting and bagging classifier. These algorithms were trained and tested on a dataset of water quality measurements. The outcomes of the experiment showed that the gradient boosting algorithm achieved the highest F1-score of 0.78 among all the algorithms. This indicates that the gradient boosting algorithm was most effective in correctly identifying both the safe and contaminated water samples. The results of this study demonstrate that gradient boosting is a promising approach for determining water potability and can be used as a reliable method for water quality assessment.

show abstract