Abstract
Purpose of Review
Rice is a major staple food worldwide and a dietary source of arsenic. We therefore summarized the state of the epidemiologic evidence on whether rice consumption relates to health outcomes associated with arsenic exposure.
Recent Findings
While epidemiologic studies have reported that higher rice consumption may increase the risk of certain chronic conditions, i.e. type 2 diabetes, most did not consider specific constituents of rice or other sources of arsenic exposure. Studies that examined rice intake stratified by water concentrations of arsenic, found evidence of increasing trends in cardiovascular disease risk, skin lesions, and squamous cell skin cancers and bladder cancer associated with higher rice consumption.
Summary
Further studies are needed to understand the health impacts of arsenic exposure from rice consumption taking into account all sources of rice intake and potential confounding by other dietary constituents or contaminants and arsenic exposure from sources such as water.
Keywords: rice, arsenic, epidemiology, diet, health effects
INTRODUCTION
Rice is a staple food for about half of the world’s population [1]. Although the average United States population consumes less rice than those from other countries, consumption has increased, with an average of ~1 cup of cooked rice per day consumed among the 25% of Americans who report rice intake [2]. Moreover, rice-derived products such as flours and syrups are widely used in processed food products [3], and baby rice cereal is often among the first solid foods introduced at infancy [4]. Rice is also a component of multiple processed foods marketed to children [3]. Rice products have recently been defined by a US Food & Drug Administration (FDA) report to include any products that contain rice [5], which may include rice-based foods such as rice syrup, often used in cereal bars [3]; rice milk, rice bran, rice-based breakfast cereals and baby cereals, and rice crackers. Daily rice consumption varies by level of education, race/ethnicity, special dietary choices, such as vegetarianism, and medical conditions like celiac disease, wheat allergy and non-celiac gluten sensitivity. In the United States, Asians and Hispanics have the greatest per capita rice consumption because rice is a staple in their traditional diets [2].
Rice (Oryza sativa L.) has the ability to accumulate arsenic, amassing concentrations ten times higher than other cereals such as wheat. In particular, rice grown under flooded conditions favors greater soil arsenic solubility and uptake into the plant. Movement of arsenic into rice is mediated by silicon transporters [6] that inadvertently transport arsenite due to its similarity to silicic acid. This makes rice a major dietary source of arsenic, especially for populations with relatively low drinking water concentrations of arsenic [7–11]. Thus, awareness of the human health risk posed by arsenic-contaminated rice consumption has become a more widely recognized threat to food safety [7, 12–15].
Studies have suggested that elevated arsenic in rice may substantially contribute to dietary arsenic intake and internal arsenic dose in the United States [2], especially among children and infants [12, 13, 16]. Indeed, exposure to arsenic from rice products may reach equivalent or greater concentrations than the US EPA maximum contaminant level for drinking water (10 μg/L) [3]. This is a particular concern given that even low levels of prenatal and early-life arsenic exposure may have effects on long-term health and disease [4, 16].
The potential for adverse health impacts of arsenic exposure through rice consumption has prompted regulatory agencies to consider limiting the arsenic content of rice and rice products. The European Commission (EC) proposed a 0.1 mg/kg limit for inorganic arsenic in rice for foods for infants and young children, a 0.20 mg/kg limit for non-parboiled milled rice (polished or white rice), 0.25 mg/kg limit for parboiled rice and husked rice, and a 0.30 mg/kg limit for rice waffles, wafers, crackers, and cakes [17]. In 2016, the US FDA proposed a limit, or “action level,” of 100 μg/L for inorganic arsenic in infant rice cereal, and found that less than half of the products it test products were below this limit [18]. Regulatory limits on arsenic in rice have yet to be established in many parts of the world, including the Indian subcontinent, where dietary arsenic intake may contribute significantly to overall arsenic exposure. In light of possible human health risks, we convened a group of experts as part of the Collaborative on Food with Arsenic and Associated Risk and Regulation (C-FARR) to review the body of evidence about the possible health risks posed by rice consumption and arsenic exposure through rice consumption. We sought to capture the current state of the available literature with the goal of identifying key gaps in our knowledge, challenges to addressing this potential health concern, and areas for future research pursuit.
METHODS
We conducted a literature search in PubMed for original research studies evaluating rice consumption and human health outcomes known to be caused by arsenic exposure largely from studies of drinking water contamination including cancers (e.g., of the skin, bladder and lung), and cardiovascular diseases and their precursors or risk factors such as skin lesions, hypertension and diabetes [19–21]. We further included data on outcomes for which there is evidence that arsenic may be causally related [19–21] if literature on rice consumption existed (e.g., respiratory conditions). For certain outcomes with either known or suspected relationships with arsenic, we were not able to identified any studies that evaluated rice consumption (e.g., for adverse pregnancy outcomes). Our search terms included “rice” with exposure-related terms: “diet,” “intake,” “consumption,” or “serving,” and health-related terms: “health,” “epidemiology,” “outcome,” “disease”, “cardiovascular disease,” “hypertension,” “diabetes,” “glucose metabolism,” “respiratory conditions,” “atopic conditions,” “cancer,” “neoplasms,” or “lesions. We used filters for human studies and studies written in English. Members of our working group with knowledge of the literature identified additional studies in publication at the time of our search. We further supplemented our search with a manual search of references in selected articles. Studies were considered for inclusion if they met each of the following a priori eligibility criteria: original observational research conducted on humans with either cross-sectional, case-control, cohort, or meta-analysis design; presented data on individual-level rice exposure; and reported on individual-level health outcomes. We excluded review articles, experimental studies, ecologic studies, case reports, case studies, and risk assessments. We further excluded studies in which rice itself could not be distinguished from other grains, broader dietary patterns, or other ingredients. Studies on the association of rice oil contaminated by polychlorinated biphenyls and related health effects (e.g., Yushō disease) and studies of rice as a dietary strategy for the management of diarrhea were also not included in this review. We extracted the study authors, year of publication, study location (country), sample size, outcome(s), exposure measures (i.e., rice consumption, type consumption), effect estimates with 95% confidence intervals (CI, where available), adjusted covariates, and whether arsenic exposure via other sources (e.g., drinking water) was accounted for in the analysis. Health outcomes were broadly classified using the 10th edition of thw International Statistical Classification of Diseases and Related Health Problems (ICD-10) categories.
RESULTS
Overall, studies of rice consumption and human health outcomes varied in their study design, exposure metrics, health endpoints, and control of confounders (Online Resource 1). Geographically, the majority of research on rice and human health has been conducted in Asia. Studies of rice consumption have usually used food frequency questionnaires (FFQs), common in epidemiologic studies due to their ease, cost-effectiveness, and ability to estimate food intake over time [22]. A variety of exposure metrics have been used, including volume-based and mass-based serving sizes, or as a proportion of total energy consumed. Others have simply assessed servings of rice without providing serving sizes or through rice exposure dichotomized by consumption status or consumption frequency. Frequency has typically been characterized daily; however, some studies have assessed weekly and yearly consumption. Health endpoints of interest have varied, with most studies focusing on cardiovascular disease, hypertension and, diabetes, and neoplasms (i.e., pre-cancerous and cancerous) (Table 1). At present, few studies described below have considered arsenic exposure. To date, none of the epidemiologic studies directly measured the arsenic content of the rice consumed, so exposure assessment has been solely based on reported rice consumption which is subject to misclassification due to varied concentrations of arsenic in rice. Moreover, self-reported intake is subject to recall bias. Given these potential sources of misclassification, it may be difficult to detect an association with rice consumption in populations already exposed to arsenic through drinking water. Alternatively, if the effects of drinking water and arsenic in rice are additive, you might find associations largely among those with higher drinking water arsenic concentrations.
Table 1.
End Points | No. of Studies | Sample Sizes | Exposure | Consideration of Water Arsenic | Direction of Association | Summary of Findingsa | References |
---|---|---|---|---|---|---|---|
Cardiovascular Disease and Hypertension | |||||||
Blood Pressure | 5 | N = 41,541; N = 1,879; N = 2,209 (1,164 boys, 1,045 girls in Song et al. 2015); N = 683; N = 12,609 | White Rice, Brown Rice, Rice | Yes for one study | Inconsistent | Two prospective studies (US & China) suggest inverse relationship; one found a positive association between arsenic metabolism efficiency amonghigh rice consumers, cross-sectional studies suggest either no or positive associations. | Ascherio et al. 1996 [31]; Mattei et al. 2011 [34]; Song et al. 2015 [33]; Shi et al. 2012 [32]; Scannell Bryan (2019) [35] |
Cardiovascular Disease Mortality | 5 | N = 48,688; N = 61,491; N = 91,223; N = 27,862 (15,301 women + 12,561 men in Oba et al. 2010); N = 53,469 (29,968 women, 23,501 men in Rebelo et al. 2014) | Rice | No | Inconsistent | Generally no association | Eshak et al. 2011 [24]; Iso et al. 2007 [54]; Eshak et al. 2014 [27]; Oba et al. 2010 [25]; Rebello et al. 2014 [26] |
Stroke | 3 | N = 27,862 (15,301 women + 12,561 men in Oba et al. 2010); N = 838; N = 106,194 (44,703 men, 61,491 women in Iso et al. 2007); N = 114,573 (71,750 women, 42,823 men in Juan et al.) | White Rice, Brown Rice, Rice | No | Inconsistent | Positive association in one small case-control study from China, but cohort studies suggest no association | Oba et al. 2010 [25]; Liang et al. 2010 [23]; Iso et al. 2007 [54]; Juan et al. (2017) [28] |
Coronary Heart Disease | 3 | N = 61,491; N = 53,469 (29,968 women, 23,501 men in Rebello et al. 2014); N = 106,194 (44,703 men, 61,491 women in Iso et al. 2007) | Rice, Brown Rice | No | Decreased risk | Large US prospective cohort of women inverse association with brown rice consumption, without consideration of water arsenic | Iso et al. 2007 [54]; Rebello et al. 2014 [26]; Liu et al. 1999 [29] |
Cardiovascular Disease Incidence | 1 | N = 94,225 | White Rice | Yes | Increased risk | One large prospective study from the US found no overall association, but an increased risk among those with low water arsenic concentrations | Muraki et al. 2015 [30] |
Diabetes, Diabetes-Related Outcomes | |||||||
Diabetes (Type 1 or 2) | 10 | N = 3,006; N = 2,658; N = 7,628 (1,529 North region, 2,719 Central region, 3,380 South region in Dong et al. 2015); N = 36,787; N = 75,521; N = 59,288 (33,622 women, 25,666 men in Nanri et al. 2010); N = 605; N = 197,228; N = 64,227; N = 690 | White Rice, Rice, Brown Rice | No | Increased risk | Positively associations based on 2 meta-analyses, but not consistent so. Large cohorts outside of Asia observed no association, and 2 large prospective cohorts observed inverse associations with brown rice which was attributed to eating whole grains. |
Khosravi- Boroujeni et al. 2013 [44]; Shimakaw a et al. 1993 [43]; Dong et al. 2015 [42]; Hodge et al. 2004 [45]; Liu et al. 2000 [48]; Nanri et al. 2010 [38]; Soriguer et al. 2013 [46]; Sun et al. 2010 [40]; Villegas et al. 2007 [39]; Yu et al. 2011 [41] |
Diabetes-related Endpoints | 5 | N = 1,879; N = 2,209 (1,164 boys, 1,045 girls in Song et al. 2015); N = 2,728; N = 3,006; N = 1,025; N = 12,609 | White Rice, Rice | Yes for one study | Increased risk | Positive associations with glucose levels, glycated hemoglobin (HbA1c) levels, insulin levels, hyperglycemia, insulin resistance, and β-cell function in prospective and cross- sectional studies. Positive associations of systolic and diastolic blood with iAs% and MMA% increase and negative association with DMA% increase. No association with HbA1c% or HOMA-IR and arsenic metabolism efficiency among high rice consumers. | Mattei et al. 2011 [34]; Song et al. 2015 [33]; Zuniga et al. 2014 [47]; Khosravi- Boroujeni et al. 2013 [44]; Shi et al. 2012 [32]; Scannell Bryan et al. [35] |
Respiratory Conditions | |||||||
Respiratory endpoints and diseases | 3 | N = 20,106; N = 1,466; N = 13,503; N = 6,814 | Rice | Yes for one study | Inconsistent | Generally no associations, with one cross- sectional study finding an inverse relationship with bronchial hyperactivity, . Decreased lung capacity, forced expiratory volume and forced vital capacity and and increased cardiac-based HAA with similar findings for urinary arsenic concentrations. | Garcia- Marcos et al. 2007 [49]; Woods et al. 2003 [50]; Suárez- Varela et al. 2010 [111]; Sanchez et al. (2019) [51] |
Neoplasms and Pre-Neoplastic Lesions | |||||||
Kidney Cancer | 1 | N = 106,194 (44,703 men, 61,491 women) | Rice | No | Inconsistent | Increased risk of kidney cancer for women but not men. | Iso et al. (2007) [54] |
Liver Cancer Mortality | 1 | N = 106,194 (44,703 men, 61,491 women) | Rice | No | Decreased risk | Observed decreased risk of liver cancer mortality for those with high rice consumption. | Iso et al. (2007) [54] |
Lung Cancer Mortality | 2 | N = 106,194 (44,703 men, 61,491 women in Iso et al.); N = 98,248 (42,940 men, 55,308 women in Ozasa et al.) | Rice | No | Inconsistent | Generally no association between lung cancer mortality and rice consumption, with some weakly positive. | Iso et al. (2007) [54]; Ozasa et al. (2001) [112] |
Pancreatic Cancer and Pancreatic Cancer Mortality | 3 | N = 2,233; N = 1,050 (890 men, 160 women in Falk et al.); N = 106,194 (44,703 men, 61,491 women in Iso et al. 2007) | Rice | No | Null | No clear association between pancreatic cancer or pancreatic cancer mortality and rice consumption. | Chan et al. (2007); Falk et al. (1988); Iso et al. (2007) [54] |
Prostate Cancer mortality | 2 | N = 7,999; N = 44,703 | Rice | No | Null | No association with prostate cancer mortality and rice consumption. | Severson et al. (1989) [115]; Iso et al. (2007) [54] |
Bladder and Urothelial Tract Cancer | 3 | N = 106,194 (44,703 men, 61,491 women in Iso et al. 2007); N = 546; N = 205,639 (45,231 men and 160,408 women in Zhang et al.) | Rice, White Rice, Brown Rice | Yes for one study | Inconsistent | No association was found between urothelial tract cancer mortality.Weakl y increased risk of bladder cancer in US cohort and case- control studies. | Iso et al. 2007 [54]; Signes- Pastor et al. (2019) [56]; Zhang et al. 2016 [55] |
Skin Lesions (Cancer & PreCancerous Lesions) | 1 | N = 18,470; N = 487 squamou s cell skin cancer cases and N = 462 controls (in Gossai et al. 2017) | Rice | Yes | Increased risk | Increased risk with rice consumption among those with lower drinking water arsenic concentrations. | Melkonian et al. 2013 Gossai et al., 2017 [52, 53] |
Summary of specific estimates can be found in Online Resource 1.
Cardiovascular Diseases and Hypertension
Studies of rice consumption and cardiovascular disease have produced mixed results. In a case-control study of adults from China, cases of ischemic stroke had higher weekly consumption of white rice compared to controls (n = 838) [23]. Large cohort studies from Japan and China (samples sizes of 35,064 to 48,688 adults) have generally found no association ([24]) [25–27] with cerebrovascular, ischemic heart disease, and total cardiovascular mortality. One of this cohorts initially found an inverse association among men, but this was not confirmed in a subsequent study ([24, 27]). A more recent study of ischemic stroke from the US Nurse’s Health Study (NHS), a prospective study of over 70,000 married women and the US Heatlh Professionals followup study of over 40,000 men [28]. Among those who consumed more than one serving of brown rice per week (versus less than once per month) had a 15% higher incidence of ischemic stroke (95% CI = 0.99 – 1.33) after adjutement for multiple dietary and other risk factors. While, a reduction in coronary heart disease risk was initially observed with brown rice consumption in the NHS [23, 29], a subsequent study combining NHS, NHS II and the Health Professionals Follow-up Study [30] found a positive linear trend between white rice consumption and cardiovascular disease risk within low arsenic areas (32,705 participants with groundwater levels of < 3.0 μg/L) and no association was observed within moderate to high arsenic areas (61,520 participants with groundwater levels of 3.0–9.9 μg/L or >10 μg/L). Brown rice consumption, albeit with less statistical power, was not clearly related to the development of cardiovascular disease, and the trend in risk by overall rice consumption was of borderline statistical significance [30].
Cohort studies also have examined blood pressure, the major risk factor for stroke. In NHS (n = 41,541 women) in the US, both white and brown rice were associated with decreased in blood pressure [31]. Similarly, a smaller Chinese cohort study (n = 683) found eating more rice was inversely related to hypertension incidence [32]. In contrast, cross-sectional studies of rice consumption and blood pressure have found either no (n = 2,209 from Korea) [33] or positive associations (n = 1,879, from Costa Rica) [34]. However, none of these studies considered exposure from arsenic. In a large Hispanic/Latino study (n = 12,609), high rice consumers (top decile), who did not smoke, reduced arsenic metabolism (higher inorganic arsenic (iAs) % and monomethylarsonic acid (MMA) %, and lower dimethylarsinic acid (DMA) %) was associated with increased diastolic and systolic blood pressure, suggesting the association with rice may be due to arsenic [35].
Diabetes
Greater consumption of white rice appears to increase the risk of developing Type-2 Diabetes, as evidenced in two recent meta-analyses [36, 37]; however, the associations are thought to be due to its higher glycemic index than for other grains, and none of these studies considered arsenic exposure from drinking water or water used for cooking, or arsenic levels in rice. The one study that examined arsenic metabolism, found no association among high rice consumers in a Latino cohort [35]. The positive association between white rice intake and incident diabetes was stronger among Japanese (n = 59,288) [38] and Chinese cohorts (n = 64,227) [39], who tend to consume more rice, than in US NHS I, NHS II and Health Professional Follow-up Study cohorts of largely Caucasians (n = 197,228) [40]. However, not all studies in Asian populations have consistently observed positive associations between rice consumption and diabetes. Notably, a prospective cohort of 690 Chinese adults found no association between the total amount of rice (white or brown) eaten per week and Type-2 Diabetes [41], and one cross-sectional study of 7,628 Chinese adults found that the association between energy derived from white rice intake and Type-2 Diabetes differed by geographic region [42]. Similarly, multiple studies conducted outside of East Asia, including a nested case-control study of 2,658 participants in the US [43], a cross-sectional study of 3,006 participants in Iran [44], a cohort study of 36,787 participants in Australia [45], and a cohort study of 605 participants in Spain [46] observed either no association, or an inverse association for rice consumption and diabetes. In the largest cohort study of rice consumption and incident diabetes in the US (n=197,228), elevated risk ratios were only observed for the highest frequency consumers (i.e., participants eating ≥5 servings of white rice in a week) [40]. Studies examining diabetes-related endpoints such as glucose levels, glycated hemoglobin (HbA1c) levels, insulin levels, hyperglycemia, insulin resistance, and β-cell function have likewise found positive cross-sectional and prospective associations with rice intake among East Asian populations [34, 32, 33, 47], but not among Iranians [44]. In contrast, for brown rice, studies suggest that it may reduce the risk of Type-2 Diabetes, with two prospective analyses of US cohorts, including the NHS I and II and the Health Professionals Follow-up Study totaling more than 75,000 participants observing reduced risks [40, 48]. However, these associations were attributed to eating whole grains and could be due to other factors relating to “healthier” diet or lifestyles among those who eat brown rice.
Respiratory Conditions
Several cross-sectional studies have assessed rice consumption with respiratory conditions. A study of 20,106 Spanish school children found no relationship between servings of rice consumed weekly and asthma or rhinoconjunctivitis [49]. Similarly, an Australian study of young adults observed no association with asthma (n=1,466), but found eating rice daily was associated with a 49% (95% CI: 0.31–0.84) decrease in the odds of bronchial hyperactivity compared to non-daily rice consumption (n=1,073) [50]. In an analysis of the Multi-Ethnic Study of Athersclerosis (MESA), consuming greater than one serving of rice a day (verus < 1 serving/week) was associated with a decreased in forced vital capacity of 102 mL/second (95% CI: −198, −7) and forced expiratory volume of 90 mL/second (95% CI: −170, −11) (n=2,250) [51]. Additionally, higher rice consumption related to a lowering of total lung capacity (1.33%; 95% CI: −4.29, 1.72; n=5,710) and was increased by 3.66% (95% CI: 1.22, 6.15) and increased cardiac-based high attenuated areas (HAA) [51].
Neoplasms and Pre-Neoplastic Lesions
A scant literature exists on cancers or preneoplastic lesions that are known to be related to arsenic exposure that have investigated rice intake. In a study of rice and skin conditions, including pre-neoplastic and neoplastic lesions, Melkonian et al. assessed the amount of steamed rice consumed daily and skin lesions at baseline and prospectively [52]. Dietary analyses derived from food frequency questionnaires of 18,470 Bangladeshis yielded statistically significant linear associations for steamed rice intake and prevalent skin lesions among individuals with well water arsenic concentrations <100 μg/L (p-for-trend = 0.007), but not among individuals with well water arsenic concentrations >100 μg/L. A similar trend was observed between steamed rice consumption and incident skin lesions at lower well water arsenic concentrations. A population-based case-control study from New Hampshire, similarly found an increased risk of squamous cell carcinoma of the skin in relation to rice consumption, among those with low drinking water arsenic concentrations, with an odds ratio of 1.5 (95% CI 1.1, 2.0) [53]
Studies that have evaluated the role of rice intake on other cancers, including prostate, kidney, urothelial tract, liver, lung, and pancreas cancer mortality from a Japannese cohort [n=106,194 total and 44,703 men) [54]]. Relative risk estimates were largely either close to or below 1.0, with exceptions within subgroups by gender for the highest exposure category, including an increased risk of kidney cancer mortality (RR = 4.85 (95% CI: 1.35, 17.4)), lung cancer mortality (RR = 1.40 (95% CI: 0.95, 2.04) ) and, with limited statistical precision, urothelial cancers 1.48 (95% CI: 0.54, 4.02) among women. Two studies specifically focused on bladder cancer incidence. One, published by Zhang and colleagues [94] based on the NHS and HPFS found no overall association with cancer incidence; those with 5 or more servings of rice per week the RR was 0.97 (95% CI: 0.85, 1.07), for white rice 0.87 (95% CI: 0.75, 1.01), for brown rice 1.17 (95% CI:0.90, 1.26). For bladder cancer the pooled RR was 1.32 (0.99, 1.76 ) and trend by categories of servings was of borderline statistical significance (p for trend = 0.09). No other associations were observed for specific cancers [55]. A more recent analysis of a population-based case-control study found a similarly increased odds ratios with rice consumption (OR = 1.3, 95% CI: 0.4, 3.5), particularly brown rice (OR = 2.3; 95% CI: 0.6, 9.3) among those with higher drinking water arsenic concentrations, however with wide confidence intervals and largely those with ≥ 1 μg/L arsenic in water. The interaction between grams of brown rice consumed and drinking water arsenic (less than versus equal to 1 μg/L arsenic in water was statistically signficiant [56] Lastly, two additional case-control studies of pancreatic cancer incidence from the US found limited evidence of associations. In one study, odds ratios were slightly elevated in men and women but lacked statistical precision (OR for > 30 servings/month vs < 4 servings/month = 1.46 among men (n = 890) and 1.16 among women (n = 160)). The other, large study (n = 2,233) reported no association (OR for ≥twice/week vs. <once /month= 0.72 (95% CI: 0.44, 1.20). Thus, epidemiologic studies are sparse, and many used cancer mortality as the endpoint and these mostly observed no associations. More recent studies, especially of skin and bladder neoplasms suggest possible associations especially when water arsenic is considered.
DISCUSSION
In our review of the epidemiologic literature on rice intake and health outcomes, we found inconsistencies across outcomes with studies finding no association, inverse associations, and positive associatons depending on the outcome and also substantial differences in results within outcomes. In general, studies observed that higher rice consumption was associated with chronic disease outcomes such as ischemic stroke and type 2 diabetes. While large prospective investigations exist, for many outcomes there were too few studies to determine whether the findings were consistent. Studies were particularly lacking among pregnant women, infants and children, and for health outcomes hypothesized to be related to arsenic exposure based on studies of drinking water, i.e., immune-related endpoints. Moreover, the vast majority of the literature did not consider specific constituents of rice, did not measure arsenic biomarkers, or take into account other sources of arsenic exposure such as drinking water. In the three studies that examined rice intake stratified by water concentrations of arsenic, one found evidence of an increased risk of cardiovascular disease in a combined analysis of large US cohorts [30], another found an increased risk of skin lesions in a large cohort from Bangladesh [52], and another found an increased risk of squamous cell carcinoma of the skin [53]. An additional study of bladder cancer only found an increased risk among those with higher water concentrations [56]. One study that measured arsenic metabolites, found higher percentages of iAs and MMA associated with higher blood pressure and percentage of DMA associated with lower blood pressure among high rice consumers [35]. Methodologic challenges to evaluating health impacts of arsenic exposure via rice consumption are discussed below and summarized in Table 2.
Table 2.
Challenges |
---|
A limited number of studies or sample sizes for many of the outcomes |
Dearth of studies of pregnant women, infants and young children |
Heterogeneity of arsenic concentrations in rice |
Incomplete understanding of the bioavailability of rice |
Other rice containing foods make it difficult to fully capture rice exposure |
Lack of consideration of water arsenic and other non-rice containing foods |
Potential for effect modification by other dietary factors or other factors |
Absence of adjustment for total calories, other dietary factors or other constituents of rice as potential confounders |
Arsenic Concentrations Vary in Rice
Rice cultivars have 3 to 37 fold variation in their ability to accumulate arsenic [57] and the proportion of inorganic arsenic in the grain also differs according to variety [58–60]. As a consequence, arsenic concentrations within commercial rice samples vary widely – influenced by the cultivar and region of growth. Rice grown in the US [60] and in Europe had higher total arsenic concentrations than those varieties from India, Egypt, Bangladesh and Asia [1, 59, 61]. US grown rice contained higher amounts of total arsenic and a lower proportion of inorganic arsenic (and higher organic arsenic in the form of DMA) than rice from either India and Bangladesh [1, 62]. Brown rice contains more arsenic than white rice because of the accumulation of inorganic arsenic in the bran layers [63]. However, arsenic concentrations within the brown rice grain varies, with one study in India finding arsenic accumulation in the grain increases with decreasing grain size [64]. Moreover, processing (e.g., polishing and parboiling) and cooking practices (e.g. the ratio of cooking water to rice, and rinsing in large volumes of water) change the concentration and bioavailability of arsenic in rice [65, 66]. As discussed below, the levels of arsenic in cooking water also influence arsenic levels in cooked rice. While, an association between rice intake and arsenic exposure using biomarkers such as urinary arsenic has been demonstrated in two experimental studies where participants followed a controlled rice diet [7], the actual bioavailability of arsenic in rice may vary. In vitro gastrointestinal digestion simulation studies estimate that between 53% and 102% of the total arsenic in rice is bioavailable [7, 65, 67]. These factors present challenges to estimating the amount of arsenic consumed via rice consumption for epidemiologic inquiry on the health impacts.
Other Foods Contain Rice and Rice Products
Rice and rice products are a pervasive and increasingly used ingredient in our food. These products can be formulated from various parts of the grain, and range from flours and oils to emulsifiers and sweeteners, used in a wide and rapidly growing range of baked goods [68], infant snacks, and powdered milk formulas not otherwise perceived to contain rice. Organic brown rice syrup (OBRS) used as a sweetener in a toddler formula exemplifies the potential for rice ingredients to be a substantial source of arsenic exposure [69]. Additionally, new products on the market such as rice snacks geared toward infants may contain appreciable arsenic concentrations [4, 70]. Thus, questionnaires seeking to assess the health impacts of arsenic exposure from rice in Western populations will not only need to consider type of rice, and where it was grown, but emerging rice products and rice ingredients in processed foods as well.
Consideration of Water Concentrations of Arsenic
Arsenic exposure through drinking and cooking water could be either a confounder or effect modifier in the analyses of rice intake and health outcomes. Rice cooked with arsenic-contaminated water increases inorganic arsenic content from the absorption of water by rice grains during cooking [65, 71–73]. Conversely, cooking practices with water low in arsenic may decrease the arsenic content of rice [74]. Cooking, such as par boiling may also increase the bioaccessibility of arsenic [65]. Moreover, in regions with high drinking water contamination, water is a known causal factor for a variety of health outcomes. Thus, the ability to detect adverse effects with rice may be masked at higher drinking concentrations. To separate out the effects of arsenic in water from that of rice, a few studies have examined relationships stratified by drinking water concentrations. A priori one would expect a stronger magnitude of exposure to arsenic from rice among those who are not primarily exposed via water. This was indeed observed in the three studies, two prospective studies of large cohorts and another population-based case-control study. Thus, further studies that take into account water arsenic are needed.
Potential Modifiers: Diet, Tobacco, Genetics
Dietary factors, tobacco use and genetic factors could potentially modify the impacts of arsenic on health outcomes. Specific nutrients participate in one-carbon metabolism, the process by which arsenic is methylated [75–81] and excreted from the body [80, 82]. Vitamins such as folate (vitamin B9)[78, 83], B12 [84, 85] B6, plus methionine [86], betaine, and choline have been associated with increased arsenic methylation. Vitamin B12 is a cofactor of methionine synthase, which facilitates the excretion of arsenic in some populations [78, 87]. Tobacco smoking also may influence arsenic methylation capacity and has been found to modify risks associated with arsenic exposure e.g., [88–95]. Further, genetic factors potentially modify risk associated with arsenic exposure through rice as well. For example, methylation of arsenic is catalyzed by the enzyme arsenic (+3 oxidation state) methyltransferase (AS3MT), and genetic variation in AS3MT influences the proportion of urinary arsenic metabolites [96]. Further, the enzyme methyltetrahydrofolate reductase (MTHFR) is a critical folate-metabolizing enzyme in humans, which may also influence arsenic toxicity [97, 98]. Additionally, age and sex influence arsenic methylation capacity [99], with women and younger individuals having increased ability to methylate arsenic. As yet no studies have evaluated potential modifying role of genetic or dietary factors on the rice – health outcome relationships. Lastly, the human gut microbiota could induce As bioaccessibility lowering and As transformation in rice bran, which illustrated the importance of food-bound As metabolism in the human body [100].
Dietary Factors as Potential Confounders
In addition to the potential for misclassification from dietary questionnaires [101], diets are complex, and thus analyses of dietary factors are subject to confounding by other dietary factors. In the National Health and Nutrition Examination Survey (NHANES), rice consumption was associated with greater nutrient intake and higher diet quality in adults [2]. Diets containing rice tended to include more fiber, grains, vegetables and meat/poultry/fish. An early report from NHANES (1999–2004) indicated that people eating one serving per day of white or brown rice were less likely to consume fat, saturated fatty acids and sugar, and less likely to be overweight/obese or have metabolic syndrome [102]. In the Health Professionals Follow-up Study and the Nurses’ Health Study I and II, consumption of brown rice was associated with greater physical activity, being leaner, being less likely to smoke, and having a higher intake of fruit, vegetables, whole grains and a lower intake of red meat and trans fat [40]. Additionally, rice and rice products can contain other unregulated toxic metals (for example, cadmium accumulation in upland rice [103, 104] and mercury [105–108]) that may pose a health risk. Rice is also a significant source of carbohydrates, the high consumption of which along with saturated fats improves glucose homeostasis [109]. Thus, as mentioned, some of the observed associations between dietary arsenic and Type II diabetes may conceivably be due to other dietary factors rather than arsenic.
Conclusions
Rice is a staple food. Rice is also a major dietary source of arsenic for populations with low concentrations of arsenic in the drinking water. The study of the association between rice consumption and human health outcomes is complicated by heterogeneous study designs and populations with differing rice consumption patterns relative to their total caloric intake, varying metrics for the ascertainment of rice intake that may lead to exposure misclassification, the complexity of diets and the ability to control for other components in rice itself. A randomized clinical trial to test the effects of arsenic from rice would not be ethical. A duplicate diet study would be challenging to conduct even to assess relatively short-term health outcomes associated with rice consumption. Limited data exist on the relationship between rice intake and human health outcomes from investigations that consider arsenic exposure from drinking water. High drinking water concentrations of arsenic have established health impacts [110], which are not expected to differ from food. But it will be challenging to tease out the effects of rice in areas using water high in arsenic to cook rice. In our review, the few studies that have been done raise the possibility of adverse health impacts of rice consumption among those with relatively low drinking water arsenic concentrations. Our review encompasses a number of research findings on rice consumption and a variety of health outcomes in the human population. Future research will need to address the many methodological challenges to understand the effect of arsenic ingested from food, including rice, on health risks.
Supplementary Material
Acknowledgments
The Collaborative on Food with Arsenic and associated Risk and Regulation (C-FARR) is supported by the Dartmouth College Toxic Metals Superfund Research Program P42ES007373 and the Children’s Environmental Health and Disease Prevention Research Center at Dartmouth P01ES022832 from the NIEHS and RD83544201 from the EPA, and this submission was also supported by the Columbia Superfund Research Program P42ES010349 and grants NIEHS grant R01ES024423, and NIGMS grant P20GM104416.
Funding
This paper, and five others published in Science of The Total Environment (STOTEN) [7–11], are a product of the Collaborative on Food with Arsenic and Associated Risk and Regulation (C-FARR): a two year effort led by the Dartmouth Superfund Research Program and Children’s Environmental Health and Disease Prevention Research Center.
Footnotes
Compliance with Ethical Standards
Human and Animal Rights and Informed Consent
This authors did not perform any studies with human or animal subjects.
Conflicts of Interest
Margaret R. Karagas, Tracy Punshon, Matt Davis, Catherine M. Bulka, Francis Slaughter, Despina Karalis, Maria Argos, and Habibul Ahsan have no potential conflicts of interests to declare.
The authors have no conflicts to disclose.
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of a an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
References
- 1.Meharg AA, Williams PN, Adomako E, Lawgali YY, Deacon C, Villada A et al. Geographical variation in total and inorganic arsenic content of polished (white) rice. Environ Sci Technol. 2009;43(5):1612–7. [DOI] [PubMed] [Google Scholar]
- 2.Batres-Marquez SP, Jensen HH, Upton J. Rice consumption in the United States: recent evidence from food consumption surveys. Journal of the American Dietetic Association. 2009;109(10):1719–27. [DOI] [PubMed] [Google Scholar]
- 3.Jackson BP, Taylor VF, Karagas MR, Punshon T, Cottingham KL. Arsenic, organic foods, and brown rice syrup. Environmental health perspectives. 2012;120(5):623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Karagas MR, Punshon T, Sayarath V, Jackson BP, Folt CL, Cottingham KL. Association of Rice and Rice-Product Consumption With Arsenic Exposure Early in Life. JAMA Pediatr. 2016;170(6):609–16. doi: 10.1001/jamapediatrics.2016.0120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.US Food and Drug Administration. Arsenic in Rice and Rice Products: Risk Assessment Report. In: Center for Food Safety and Applied Nutrition, editor.2016. [Google Scholar]
- 6.Ma JF, Yamaji N, Mitani N, Xu X-Y, Su Y-H, McGrath SP et al. Transporters of arsenite in rice and their role in arsenic accumulation in rice grain. Proceedings of the National Academy of Sciences. 2008;105(29):9931–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Davis MA, Signes-Pastor AJ, Argos M, Slaughter F, Pendergrast C, Punshon T et al. Assessment of human dietary exposure to arsenic through rice. Sci Total Environ. 2017;586:1237–44. doi: 10.1016/j.scitotenv.2017.02.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cubadda F, Jackson BP, Cottingham KL, Van Horne YO, Kurzius-Spencer M. Human exposure to dietary inorganic arsenic and other arsenic species: State of knowledge, gaps and uncertainties. Sci Total Environ. 2017;579:1228–39. doi: 10.1016/j.scitotenv.2016.11.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nachman KE, Ginsberg GL, Miller MD, Murray CJ, Nigra AE, Pendergrast CB. Mitigating dietary arsenic exposure: Current status in the United States and recommendations for an improved path forward. Sci Total Environ. 2017;581–582:221–36. doi: 10.1016/j.scitotenv.2016.12.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Punshon T, Jackson BP, Meharg AA, Warczack T, Scheckel K, Guerinot ML. Understanding arsenic dynamics in agronomic systems to predict and prevent uptake by crop plants. Sci Total Environ. 2017;581–582:209–20. doi: 10.1016/j.scitotenv.2016.12.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Taylor V, Goodale B, Raab A, Schwerdtle T, Reimer K, Conklin S et al. Human exposure to organic arsenic species from seafood. Sci Total Environ. 2017;580:266–82. doi: 10.1016/j.scitotenv.2016.12.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gilbert-Diamond D, Cottingham KL, Gruber JF, Punshon T, Sayarath V, Gandolfi AJ et al. Rice consumption contributes to arsenic exposure in US women. Proceedings of the National Academy of Sciences. 2011;108(51):20656–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Cleland B, Tsuchiya A, Kalman DA, Dills R, Burbacher TM, White JW et al. Arsenic exposure within the Korean community (United States) based on dietary behavior and arsenic levels in hair, urine, air, and water. Environ Health Perspect. 2009;117(4):632–8. doi: 10.1289/ehp.11827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Orloff K, Mistry K, Metcalf S. Biomonitoring for Environmental Exposures to Arsenic. Journal of Toxicology and Environmental Health, Part B. 2009;12(7):509–24. doi: 10.1080/10937400903358934. [DOI] [PubMed] [Google Scholar]
- 15.Tsuji JS, Yost LJ, Barraj LM, Scrafford CG, Mink PJ. Use of background inorganic arsenic exposures to provide perspective on risk assessment results. Regulatory Toxicology and Pharmacology. 2007;48(1):59–68. [DOI] [PubMed] [Google Scholar]
- 16.Davis MA, Mackenzie TA, Cottingham KL, Gilbert-Diamond D, Punshon T, Karagas MR. Rice Consumption and Urinary Arsenic Concentrations in U. S. Children. Environmental health perspectives. 2012;120(10):1418–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.European Commission Regulation. 2015/1006. Commission regulation amending Regulation (EC) No 1881/2006 as regards maximum levels of inorganic arsenic in foodstuffs. Official Journal of the European Union. 2015;L 161/14(26.6.2015). [Google Scholar]
- 18.US Food and Drug Administration. FDA proposes limit for inorganic arsenic in infant rice cereal. 2016. http://fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm493740.htm.
- 19.Council NR. Critical Aspects of EPA’s IRIS Assessment of Inorganic Arsenic. Washington, DC: The National Academies Press; 2013. [Google Scholar]
- 20.Humans IWGotEoCRt. Some drinking-water disinfectants and contaminants, including arsenic. . IARC Monogr Eval Carcinog Risks Hum. 2004;84:269–477. [PMC free article] [PubMed] [Google Scholar]
- 21.Humans IWGotEoCRt. Arsenic, metals, fibres, and dusts. IARC Monogr Eval Carcinog Risks Hum.2012;100(Pt C):11–465. [PMC free article] [PubMed] [Google Scholar]
- 22.Gibson RS. Principles of nutritional assessment. 2nd ed Oxford; New York: Oxford University Press; 2005. [Google Scholar]
- 23.Liang W, Lee AH, Binns CW. White rice-based food consumption and ischemic stroke risk: a case-control study in southern China. J Stroke Cerebrovasc Dis. 2010;19(6):480–4. doi: 10.1016/j.jstrokecerebrovasdis.2009.09.003. [DOI] [PubMed] [Google Scholar]
- 24.Eshak ES, Iso H, Date C, Yamagishi K, Kikuchi S, Watanabe Y et al. Rice intake is associated with reduced risk of mortality from cardiovascular disease in Japanese men but not women. J Nutr. 2011;141(4):595–602. doi: 10.3945/jn.110.132167. [DOI] [PubMed] [Google Scholar]
- 25.Oba S, Nagata C, Nakamura K, Fujii K, Kawachi T, Takatsuka N et al. Dietary glycemic index, glycemic load, and intake of carbohydrate and rice in relation to risk of mortality from stroke and its subtypes in Japanese men and women. Metabolism. 2010;59(11):1574–82. doi: 10.1016/j.metabol.2010.02.004. [DOI] [PubMed] [Google Scholar]
- 26.Rebello SA, Koh H, Chen C, Naidoo N, Odegaard AO, Koh WP et al. Amount, type, and sources of carbohydrates in relation to ischemic heart disease mortality in a Chinese population: a prospective cohort study. Am J Clin Nutr. 2014;100(1):53–64. doi: 10.3945/ajcn.113.076273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Eshak ES, Iso H, Yamagishi K, Kokubo Y, Saito I, Yatsuya H et al. Rice consumption is not associated with risk of cardiovascular disease morbidity or mortality in Japanese men and women: a large population-based, prospective cohort study. Am J Clin Nutr. 2014;100(1):199–207. doi: 10.3945/ajcn.113.079038. [DOI] [PubMed] [Google Scholar]
- 28.Juan J, Liu G, Willett WC, Hu FB, Rexrode KM, Sun Q. Whole Grain Consumption and Risk of Ischemic Stroke: Results From 2 Prospective Cohort Studies. Stroke. 2017;48(12):3203–9. doi: 10.1161/STROKEAHA.117.018979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Liu S, Stampfer MJ, Hu FB, Giovannucci E, Rimm E, Manson JE et al. Whole-grain consumption and risk of coronary heart disease: results from the Nurses’ Health Study. Am J Clin Nutr. 1999;70(3):412–9. [DOI] [PubMed] [Google Scholar]
- 30.Muraki I, Wu H, Imamura F, Laden F, Rimm EB, Hu FB et al. Rice consumption and risk of cardiovascular disease: results from a pooled analysis of 3 U.S. cohorts. Am J Clin Nutr. 2015;101(1):164–72. doi: 10.3945/ajcn.114.087551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ascherio A, Hennekens C, Willett WC, Sacks F, Rosner B, Manson J et al. Prospective study of nutritional factors, blood pressure, and hypertension among US women. Hypertension. 1996;27(5):1065–72. [DOI] [PubMed] [Google Scholar]
- 32.Shi Z, Taylor AW, Hu G, Gill T, Wittert GA. Rice intake, weight change and risk of the metabolic syndrome development among Chinese adults: the Jiangsu Nutrition Study (JIN). Asia Pac J Clin Nutr. 2012;21(1):35–43. [PubMed] [Google Scholar]
- 33.Song S, Young Paik H, Song WO, Song Y. Metabolic syndrome risk factors are associated with white rice intake in Korean adolescent girls and boys. Br J Nutr. 2015;113(3):479–87. doi: 10.1017/S0007114514003845. [DOI] [PubMed] [Google Scholar]
- 34.Mattei J, Hu FB, Campos H. A higher ratio of beans to white rice is associated with lower cardiometabolic risk factors in Costa Rican adults. Am J Clin Nutr. 2011;94(3):869–76. doi: 10.3945/ajcn.111.013219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Scannell Bryan M, Sofer T, Mossavar-Rahmani Y, Thyagarajan B, Zeng D, Daviglus ML et al. Mendelian randomization of inorganic arsenic metabolism as a risk factor for hypertension- and diabetes-related traits among adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Int J Epidemiol. 2019. doi: 10.1093/ije/dyz046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Hu EA, Pan A, Malik V, Sun Q. White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. BMJ. 2012;344:e1454. doi: 10.1136/bmj.e1454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Aune D, Norat T, Romundstad P, Vatten LJ. Whole grain and refined grain consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Eur J Epidemiol. 2013;28(11):845–58. doi: 10.1007/s10654-013-9852-5. [DOI] [PubMed] [Google Scholar]
- 38.Nanri A, Mizoue T, Noda M, Takahashi Y, Kato M, Inoue M et al. Rice intake and type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study. Am J Clin Nutr. 2010;92(6):1468–77. doi: 10.3945/ajcn.2010.29512. [DOI] [PubMed] [Google Scholar]
- 39.Villegas R, Liu S, Gao YT, Yang G, Li H, Zheng W et al. Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women. Arch Intern Med. 2007;167(21):2310–6. doi: 10.1001/archinte.167.21.2310. [DOI] [PubMed] [Google Scholar]
- 40.Sun Q, Spiegelman D, van Dam RM, Holmes MD, Malik VS, Willett WC et al. White rice, brown rice, and risk of type 2 diabetes in US men and women. Arch Intern Med. 2010;170(11):961–9. doi: 10.1001/archinternmed.2010.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Yu R, Woo J, Chan R, Sham A, Ho S, Tso A et al. Relationship between dietary intake and the development of type 2 diabetes in a Chinese population: the Hong Kong Dietary Survey. Public Health Nutr. 2011;14(7):1133–41. doi: 10.1017/S136898001100053X. [DOI] [PubMed] [Google Scholar]
- 42.Dong F, Howard AG, Herring AH, Popkin BM, Gordon-Larsen P. White Rice Intake Varies in Its Association with Metabolic Markers of Diabetes and Dyslipidemia Across Region among Chinese Adults. Ann Nutr Metab. 2015;66(4):209–18. doi: 10.1159/000430504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Shimakawa T, Herrera-Acena MG, Colditz GA, Manson JE, Stampfer MJ, Willett WC et al. Comparison of diets of diabetic and nondiabetic women. Diabetes Care. 1993;16(10):1356–62. [DOI] [PubMed] [Google Scholar]
- 44.Khosravi-Boroujeni H, Sarrafzadegan N, Mohammadifard N, Sajjadi F, Maghroun M, Asgari S et al. White rice consumption and CVD risk factors among Iranian population. J Health Popul Nutr. 2013;31(2):252–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hodge AM, English DR, O’Dea K, Giles GG. Glycemic index and dietary fiber and the risk of type 2 diabetes. Diabetes Care. 2004;27(11):2701–6. [DOI] [PubMed] [Google Scholar]
- 46.Soriguer F, Colomo N, Olveira G, Garcia-Fuentes E, Esteva I, Ruiz de Adana MS et al. White rice consumption and risk of type 2 diabetes. Clin Nutr. 2013;32(3):481–4. doi: 10.1016/j.clnu.2012.11.008. [DOI] [PubMed] [Google Scholar]
- 47.Zuniga YL, Rebello SA, Oi PL, Zheng H, Lee J, Tai ES et al. Rice and noodle consumption is associated with insulin resistance and hyperglycaemia in an Asian population. Br J Nutr. 2014;111(6):1118–28. doi: 10.1017/S0007114513003486. [DOI] [PubMed] [Google Scholar]
- 48.Liu S, Manson JE, Stampfer MJ, Hu FB, Giovannucci E, Colditz GA et al. A prospective study of whole-grain intake and risk of type 2 diabetes mellitus in US women. Am J Public Health. 2000;90(9):1409–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Garcia-Marcos L, Canflanca IM, Garrido JB, Varela AL, Garcia-Hernandez G, Guillen Grima F et al. Relationship of asthma and rhinoconjunctivitis with obesity, exercise and Mediterranean diet in Spanish schoolchildren. Thorax. 2007;62(6):503–8. doi: 10.1136/thx.2006.060020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Woods RK, Walters EH, Raven JM, Wolfe R, Ireland PD, Thien FC et al. Food and nutrient intakes and asthma risk in young adults. Am J Clin Nutr. 2003;78(3):414–21. [DOI] [PubMed] [Google Scholar]
- 51.Sanchez TR, Oelsner EC, Lederer DJ, Lo Cascio CM, Jones MR, Grau-Perez M et al. Rice Consumption and Subclinical Lung Disease in US Adults: Observational Evidence from the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol. 2019. doi: 10.1093/aje/kwz137.**Large study of well-documented lung disease endpoints in a population on whom urinary arsenic concentrations were measured.
- 52.Melkonian S, Argos M, Hall MN, Chen Y, Parvez F, Pierce B et al. Urinary and dietary analysis of 18,470 bangladeshis reveal a correlation of rice consumption with arsenic exposure and toxicity. PLoS One. 2013;8(11):e80691. doi: 10.1371/journal.pone.0080691.**Reports association between rice intake and arsenic-associated skin lesions with stratification by drinking water arsenic concentrations.
- 53.Gossai A, Zens MS, Punshon T, Jackson BP, Perry AE, Karagas MR. Rice Consumption and Squamous Cell Carcinoma of the Skin in a United States Population. Environ Health Perspect. 2017;125(9):097005. doi: 10.1289/EHP1065.**Examines rice consumption in a US population stratified by individual household drinking water arsenic concentrations.
- 54.Iso H, Kubota Y, Japan Collaborative Cohort Study for Evaluation of C. Nutrition and disease in the Japan Collaborative Cohort Study for Evaluation of Cancer (JACC). Asian Pac J Cancer Prev. 2007;8 Suppl:35–80. [PubMed] [Google Scholar]
- 55.Zhang R, Zhang X, Wu K, Wu H, Sun Q, Hu FB et al. Rice consumption and cancer incidence in US men and women. Int J Cancer. 2016;138(3):555–64. doi: 10.1002/ijc.29704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Signes-Pastor AJ, Scot Zens M, Seigne J, Schned A, Karagas MR. Rice Consumption and Incidence of Bladder Cancer in the United States Population. Epidemiology. 2019;30(2):e4–e5. doi: 10.1097/EDE.0000000000000955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Norton GJ, Pinson SR, Alexander J, McKay S, Hansen H, Duan GL et al. Variation in grain arsenic assessed in a diverse panel of rice (Oryza sativa) grown in multiple sites. New Phytol. 2012;193(3):650–64. doi: 10.1111/j.1469-8137.2011.03983.x. [DOI] [PubMed] [Google Scholar]
- 58.Bastias JM, Bermudez M, Carrasco J, Espinoza O, Munoz M, Galotto MJ et al. Determination of dietary intake of total arsenic, inorganic arsenic and total mercury in the Chilean school meal program. Food Sci Technol Int. 2010;16(5):443–50. doi: 10.1177/1082013210367956. [DOI] [PubMed] [Google Scholar]
- 59.Williams PN, Price AH, Raab A, Hossain SA, Feldmann J, Meharg AA. Variation in arsenic speciation and concentration in paddy rice related to dietary exposure. Environ Sci Technol. 2005;39(15):5531–40. [DOI] [PubMed] [Google Scholar]
- 60.Williams PN, Raab A, Feldmann J, Meharg AA. Market basket survey shows elevated levels of As in South Central U.S. processed rice compared to California: consequences for human dietary exposure. Environ Sci Technol. 2007;41(7):2178–83. [DOI] [PubMed] [Google Scholar]
- 61.Zavala YJ, Duxbury JM. Arsenic in rice: I. Estimating normal levels of total arsenic in rice grain. Environmental Science & Technology. 2008;42(10):3856–60. [DOI] [PubMed] [Google Scholar]
- 62.Williams PN, Price A, Raab A, Hossain S, Feldmann J, Meharg A. Variation in arsenic speciation and concentration in paddy rice related to dietary exposure. Environmental Science & Technology. 2005;39(15):5531–40. [DOI] [PubMed] [Google Scholar]
- 63.Gundert-Remy U, Damm G, Foth H, Freyberger A, Gebel T, Golka K et al. High exposure to inorganic arsenic by food: the need for risk reduction. Arch Toxicol. 2015;89(12):2219–27. doi: 10.1007/s00204-015-1627-1. [DOI] [PubMed] [Google Scholar]
- 64.Halder D, Bhowmick S, Biswas A, Mandal U, Nriagu J, Mazumdar DN et al. Consumption of brown rice: a potential pathway for arsenic exposure in rural Bengal. Environ Sci Technol. 2012;46(7):4142–8. doi: 10.1021/es204298a. [DOI] [PubMed] [Google Scholar]
- 65.Signes-Pastor AJ, Al-Rmalli SW, Jenkins RO, Carbonell-Barrachina AA, Haris PI. Arsenic bioaccessibility in cooked rice as affected by arsenic in cooking water. J Food Sci. 2012;77(11):T201–6. doi: 10.1111/j.1750-3841.2012.02948.x. [DOI] [PubMed] [Google Scholar]
- 66.Naito S, Matsumoto E, Shindoh K, Nishimura T. Effects of polishing, cooking, and storing on total arsenic and arsenic species concentrations in rice cultivated in Japan. Food Chem. 2015;168:294–301. doi: 10.1016/j.foodchem.2014.07.060. [DOI] [PubMed] [Google Scholar]
- 67.He Y, Zheng Y. Assessment of in vivo bioaccessibility of arsenic in dietary rice by a mass balance approach. Sci Total Environ. 2010;408(6):1430–6. doi: 10.1016/j.scitotenv.2009.12.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Juliano BO. Rice in human nutrition In: Nations FaAOotU, editor.: FAO and Information Network on Post-Harvest Operations; 1993. [Google Scholar]
- 69.Jackson BP, Taylor VF, Cottingham KL, Punshon T. Arsenic concentration and speciation in infant formulas and first foods. Pure and Applied Chemistry. 2011;84:215–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Signes-Pastor AJ, Carey M, Meharg AA. Inorganic arsenic in rice-based products for infants and young children. Food chemistry. 2016;191:128–34. [DOI] [PubMed] [Google Scholar]
- 71.Bae M, Watanabe C, Inaoka T, Sekiyama M, Sudo N, Bokul MH et al. Arsenic in cooked rice in Bangladesh. The Lancet. 2002;360(9348):1839–40. [DOI] [PubMed] [Google Scholar]
- 72.Halder D, Biswas A, Slejkovec Z, Chatterjee D, Nriagu J, Jacks G et al. Arsenic species in raw and cooked rice: implications for human health in rural Bengal. Sci Total Environ. 2014;497–498:200–8. doi: 10.1016/j.scitotenv.2014.07.075. [DOI] [PubMed] [Google Scholar]
- 73.Juhasz AL, Smith E, Weber J, Rees M, Rofe A, Kuchel T et al. In vivo assessment of arsenic bioavailability in rice and its significance for human health risk assessment. Environmental Health Perspectives. 2006:1826–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Raab A, Baskaran C, Feldmann J, Meharg AA. Cooking rice in a high water to rice ratio reduces inorganic arsenic content. J Environ Monit. 2008;11(1):41–4. [DOI] [PubMed] [Google Scholar]
- 75.Challenger F, Leeds E. Biological methylation. Chemical Reviews. 1945;36(315–361). [Google Scholar]
- 76.Hayakawa T, Kobayashi Y, Cui X, Hirano S. A new metabolic pathway of arsenite: Arsenic-glutathione complexes are substrates for human methyltransferase Cyt19. Archives of Toxicology. 2005;79:183–91. [DOI] [PubMed] [Google Scholar]
- 77.Zablotska LB, Chen Y, Graziano JH, Parvez F, van Geen A, Howe GR. Protective effects of B vitamins and antioxidants on the risk of arsenic related skin lesions in Bangladesh. Environmental Health Perspectives. 2008;116(8):1056–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Heck JE, Gamble MV, Chen Y, Graziano JH, Slavkovich V, Parvez F et al. Consumption of folate-related nutrients and metabolism of arsenic in Bangladesh. American Journal of Clinical Nutrition. 2007;85:1367–74. [DOI] [PubMed] [Google Scholar]
- 79.Gamble MV, Liu X, Ahsan H, Pilsner JR, Ilievski V, Slavkovich V et al. Folate, homocysteine, and arsenic metabolism in arsenic-exposed individuals in Bangladesh. Environmental Health Perspectives. 2005;113:1683–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Gamble MV, Liu XH, Ahsan H, Pilsner JR, Ilievski V, Slavkovich V et al. Folate and arsenic metabolism: a double-blind, placebo-controlled folic acid-supplementation trial in Bangladesh. American Journal of Clinical Nutrition. 2006;84(5):1093–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Gamble MV, Liu X, Slavkovich V, Pilsner JR, Ilievski V, Factor-Litvak P et al. Folic acid supplementation lowers blood arsenic. American Journal of Clinical Nutrition. 2007;86:1202–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Kenyon EM, Hughes MF. A concise review of the toxicity and carcinogenicity of dimethylarsinic acid. Toxicology. 2001;160(1–3):227–36. doi: 10.1016/s0300-483x(00)00458-3. [DOI] [PubMed] [Google Scholar]
- 83.Hall M, Gamble MV, Slavkovich V, Liu X, Levy D, Cheng Z et al. Determinants of arsenic metabolism: blood arsenic metabolites, plasma folate, cobalamin, and homocysteine concentrations in maternal-newborn pairs. Environmental Health Perspectives. 2007;115(10):1503–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Majumdar S, Maiti A, Karmakar S, Sekhar Das A, Mukherjee S, Das D et al. Antiapoptotic efficacy of folic acid and vitamin B12 against arsenic-induced toxicity. Environmental Toxicology. 2010;26. doi: 10.1002/tox.20648. [DOI] [PubMed] [Google Scholar]
- 85.Mukherjee S, Das D, Mukherjee M, Das AS, Mitra C. Synergistic effect of folic acid and vitamin B12 in ameliorating arsenic-induced oxidative damage in pancreatic tissue of rat. Journal of Nutritional Biochemistry. 2006;17(5):319–27. [DOI] [PubMed] [Google Scholar]
- 86.Nandi D, Patra RC, Swarup D. Effect of cysteine, methionine, ascorbic acid and thiamine or arsenic-induced oxidative stress and biochemical alteration in rats. Toxicology. 2005;211(1–2):26–35. [DOI] [PubMed] [Google Scholar]
- 87.Heck JE, Andrew AS, Onega T, Rigas JR, Jackson BP, Karagas MR et al. Lung Cancer in a US Population with Low to Moderate Arsenic Exposure. Environmental Health Perspectives. 2009;117(11):1718–23. doi: 10.1289/ehp.0900566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Melkonian S, Argos M, Pierce BL, Chen Y, Islam T, Ahmed A et al. A prospective study of the synergistic effects of arsenic exposure and smoking, sun exposure, fertilizer use, and pesticide use on risk of premalignant skin lesions in Bangladeshi men. Am J Epidemiol. 2011;173(2):183–91. doi: 10.1093/aje/kwq357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Chen Y, Graziano JH, Parvez F, Hussain I, Momotaj H, van Geen A et al. Modification of risk of arsenic-induced skin lesions by sunlight exposure, smoking, and occupational exposures in Bangladesh. Epidemiology. 2006;17(4):459–67. doi: 10.1097/01.ede.0000220554.50837.7f. [DOI] [PubMed] [Google Scholar]
- 90.Lindberg AL, Sohel N, Rahman M, Persson LA, Vahter M. Impact of smoking and chewing tobacco on arsenic-induced skin lesions. Environ Health Perspect. 2010;118(4):533–8. doi: 10.1289/ehp.0900728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Chen Y, Graziano JH, Parvez F, Liu M, Slavkovich V, Kalra T et al. Arsenic exposure from drinking water and mortality from cardiovascular disease in Bangladesh: prospective cohort study. BMJ. 2011;342:d2431. doi: 10.1136/bmj.d2431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Ferreccio C, Yuan Y, Calle J, Benitez H, Parra RL, Acevedo J et al. Arsenic, tobacco smoke, and occupation: associations of multiple agents with lung and bladder cancer. Epidemiology. 2013;24(6):898–905. doi: 10.1097/EDE.0b013e31829e3e03. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Pershagen G, Wall S, Taube A, Linnman L. On the interaction between occupational arsenic exposure and smoking and its relationship to lung cancer. Scand J Work Environ Health. 1981;7(4):302–9. [DOI] [PubMed] [Google Scholar]
- 94.Chen YC, Su HJ, Guo YL, Houseman EA, Christiani DC. Interaction between environmental tobacco smoke and arsenic methylation ability on the risk of bladder cancer. Cancer Causes Control. 2005;16(2):75–81. doi: 10.1007/s10552-004-2235-1. [DOI] [PubMed] [Google Scholar]
- 95.Karagas MR, Tosteson TD, Morris JS, Demidenko E, Mott LA, Heaney J et al. Incidence of transitional cell carcinoma of the bladder and arsenic exposure in New Hampshire. Cancer Causes Control. 2004;15(5):465–72. doi: 10.1023/B:CACO.0000036452.55199.a3. [DOI] [PubMed] [Google Scholar]
- 96.Agusa T, Fujihara J, Takeshita H, Iwata H. Individual variations in inorganic arsenic metabolism associated with AS3MT genetic polymorphisms. Int J Mol Sci. 2011;12(4):2351–82. doi: 10.3390/ijms12042351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Fox JT, Stover PJ. Folate-mediated one-carbon metabolism. Vitam Horm. 2008;79:1–44. doi: 10.1016/S0083-6729(08)00401-9. [DOI] [PubMed] [Google Scholar]
- 98.Chen Y, Parvez F, Gamble M, Islam T, Ahmed A, Argos M et al. Arsenic exposure at low-to-moderate levels and skin lesions, arsenic metabolism, neurological functions, and biomarkers for respiratory and cardiovascular diseases: review of recent findings from the Health Effects of Arsenic Longitudinal Study (HEALS) in Bangladesh. Toxicol Appl Pharmacol. 2009;239(2):184–92. doi: 10.1016/j.taap.2009.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Tseng CH, Huang YK, Huang YL, Chung CJ, Yang MH, Chen CJ et al. Arsenic exposure, urinary arsenic speciation, and peripheral vascular disease in blackfoot disease-hyperendemic villages in Taiwan. Toxicol Appl Pharmacol. 2005;206(3):299–308. doi: 10.1016/j.taap.2004.11.022. [DOI] [PubMed] [Google Scholar]
- 100.Yin N, Wang P, Li Y, Du H, Chen X, Sun G et al. Arsenic in Rice Bran Products: In Vitro Oral Bioaccessibility, Arsenic Transformation by Human Gut Microbiota, and Human Health Risk Assessment. J Agric Food Chem. 2019;67(17):4987–94. doi: 10.1021/acs.jafc.9b02008. [DOI] [PubMed] [Google Scholar]
- 101.Willett WC. Nutritional Epidemiology. 2 ed New York: Oxford University Press; 1998. [Google Scholar]
- 102.Fulgoni III V, Fulgoni S, Upton J, Moon M. Diet quality and markers for human health in rice eaters versus non-rice eaters: An analysis of the US NHANES, 1999–2004. Nutritional Toda. 2010;45:262–72. [Google Scholar]
- 103.Tsukahara T, Ezaki T, Moriguchi J, Furuki K, Shimbo S, Matsuda-Inoguchi N et al. Rice as the most influential source of cadmium intake among general Japanese population. Science of the Total Environment. 2003;305(1–3):4151. doi: 10.1016/s0048-9697(02)00475-8. [DOI] [PubMed] [Google Scholar]
- 104.Meharg AA, Norton G, Deacon C, Williams P, Adomako EE, Price A et al. Variation in rice cadmium related to human exposure. Environ Sci Technol. 2013;47(11):5613–8. doi: 10.1021/es400521h. [DOI] [PubMed] [Google Scholar]
- 105.Rothenberg SE, Windham-Myers L, Creswell JE. Rice methylmercury exposure and mitigation: A comprehensive review. Environmental Research. 2014;133:407–23. doi: 10.1016/j.envres.2014.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Rothenberg SE, Feng XB, Dong B, Shang LH, Yin RS, Yuan XB. Characterization of mercury species in brown and white rice (Oryza sativa L.) grown in water-saving paddies. Environmental Pollution. 2011;159(5):1283–9. doi: 10.1016/j.envpol.2011.01.027. [DOI] [PubMed] [Google Scholar]
- 107.Rothenberg SE, Feng XB, Zhou WJ, Tu M, Jin BW, You JM. Environment and genotype controls on mercury accumulation in rice (Oryza sativa L.) cultivated along a contamination gradient in Guizhou, China. Science of the Total Environment. 2012;426:272–80. doi: 10.1016/j.scitotenv.2012.03.024. [DOI] [PubMed] [Google Scholar]
- 108.Bulka CM, Davis MA, Karagas MR, Ahsan H, Argos M. The Unintended Consequences of a Gluten-free Diet. Epidemiology. 2017;28(3):e24–e5. doi: 10.1097/EDE.0000000000000640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Imamura F, Micha R, Wu JHY, Otto MCD, Otite FO, Abioye AI et al. Effects of Saturated Fat, Polyunsaturated Fat, Monounsaturated Fat, and Carbohydrate on Glucose-Insulin Homeostasis: A Systematic Review and Meta-analysis of Randomised Controlled Feeding Trials. Plos Medicine. 2016;13(7). doi: 10.1371/journal.pmed.1002087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Huang L, Wu H, van der Kuijp TJ. The health effects of exposure to arsenic-contaminated drinking water: a review by global geographical distribution. Int J Environ Health Res. 2015;25(4):432–52. doi: 10.1080/09603123.2014.958139. [DOI] [PubMed] [Google Scholar]
- 111.Suarez-Varela MM, Alvarez LG, Kogan MD, Ferreira JC, Martinez Gimeno A, Aguinaga Ontoso I et al. Diet and prevalence of atopic eczema in 6 to 7-year-old schoolchildren in Spain: ISAAC phase III. J Investig Allergol Clin Immunol. 2010;20(6):469–75. [PubMed] [Google Scholar]
- 112.Ozasa K, Watanabe Y, Ito Y, Suzuki K, Tamakoshi A, Seki N et al. Dietary habits and risk of lung cancer death in a large-scale cohort study (JACC Study) in Japan by sex and smoking habit. Jpn J Cancer Res. 2001;92(12):1259–69. doi: 10.1111/j.1349-7006.2001.tb02148.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Chan JM, Wang F, Holly EA. Whole grains and risk of pancreatic cancer in a large population-based case-control study in the San Francisco Bay Area, California. Am J Epidemiol. 2007;166(10):1174–85. doi: 10.1093/aje/kwm194. [DOI] [PubMed] [Google Scholar]
- 114.Falk RT, Pickle LW, Fontham ET, Correa P, Fraumeni JF, Jr. Life-style risk factors for pancreatic cancer in Louisiana: a case-control study. Am J Epidemiol. 1988;128(2):324–36. doi: 10.1093/oxfordjournals.aje.a114972. [DOI] [PubMed] [Google Scholar]
- 115.Severson RK, Nomura AM, Grove JS, Stemmermann GN. A prospective study of demographics, diet, and prostate cancer among men of Japanese ancestry in Hawaii. Cancer Res. 1989;49(7):1857–60. [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.