ArticleEnvironmental health : a global access science source2013
Body composition and arsenic metabolism: a cross-sectional analysis in the Strong Heart Study.
Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Provision of folic acid for reducing arsenic toxicity in arsenic-exposed children and adults.The Cochrane database of systematic reviews · 2021Pooled it
- The Association of Arsenic Metabolism with Cancer, Cardiovascular Disease, and Diabetes: A Systematic Review of the Epidemiological Evidence.Environmental health perspectives · 2017Pooled it
- The Association of Arsenic Metabolism and Blood Pressure: A Cross-Sectional Analysis in the MesoAmerican Nephropathy Occupational Study (MANOS).Research square · 2026Article
- Heavy metals: toxicity and human health effects.Archives of toxicology · 2025Review
- Anthropometric measures and arsenic methylation among pregnant women in rural northern Bangladesh.Environmental research · 2023Article
- Arsenic metabolism, diabetes prevalence, and insulin resistance among Mexican Americans: A mendelian randomization approach.Environmental advances · 2023Article
- Association of obesity, diabetes, and hypertension with arsenic in drinking water in the Comarca Lagunera province (north-central Mexico).Scientific reports · 2023Article
- Association of multi-metals with the risk of hypertension and the interaction with obesity: A cross-sectional study in China.Frontiers in public health · 2023Article
- The association of arsenic exposure and arsenic metabolism with all-cause, cardiovascular and cancer mortality in the Strong Heart Study.Environment international · 2022Article
- Arsenic Secondary Methylation Capacity Is Inversely Associated with Arsenic Exposure-Related Muscle Mass Reduction.International journal of environmental research and public health · 2021Article
- Associations between rice consumption, arsenic metabolism, and insulin resistance in adults without diabetes.International journal of hygiene and environmental health · 2021Article
- Association between body mass index and arsenic methylation in three studies of Bangladeshi adults and adolescents.Environment international · 2021Article
- Factors Affecting Arsenic Methylation in Contaminated Italian Areas.International journal of environmental research and public health · 2020Article
- Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh.Environmental research · 2019Article
- Ethnic, geographic and dietary differences in arsenic exposure in the multi-ethnic study of atherosclerosis (MESA).Journal of exposure science & environmental epidemiology · 2019Article
- A Review of Metal Exposure Studies Conducted in the Rural Southwestern and Mountain West Region of the United States.Current epidemiology reports · 2019Article
- One-carbon metabolism nutrient intake and the association between body mass index and urinary arsenic metabolites in adults in the Chihuahua cohort.Environment international · 2019Article
- Arsenic, one carbon metabolism and diabetes-related outcomes in the Strong Heart Family Study.Environment international · 2018Article
- Potential effect modifiers of the arsenic-bladder cancer risk relationship.International journal of cancer · 2018Article
- The Association of Arsenic Exposure and Arsenic Metabolism With the Metabolic Syndrome and Its Individual Components: Prospective Evidence From the Strong Heart Family Study.American journal of epidemiology · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
objectiveThe objective of this study was to evaluate the association between measures of body composition and patterns of urine arsenic metabolites in the 1989-1991 baseline visit of the Strong Heart Study, a cardiovascular disease cohort of adults recruited from rural communities in Arizona, Oklahoma, North Dakota and South Dakota.
methodsWe evaluated 3,663 Strong Heart Study participants with urine arsenic species above the limit of detection and no missing data on body mass index, % body fat and fat free mass measured by bioelectrical impedance, waist circumference and other variables. We summarized urine arsenic species patterns as the relative contribution of inorganic (iAs), methylarsonate (MMA) and dimethylarsinate (DMA) species to their sum. We modeled the associations of % arsenic species biomarkers with body mass index, % body fat, fat free mass, and waist circumference categories in unadjusted regression models and in models including all measures of body composition. We also considered adjustment for arsenic exposure and demographics.
resultsIncreasing body mass index was associated with higher mean % DMA and lower mean % MMA before and after adjustment for sociodemographic variables, arsenic exposure, and for other measures of body composition. In unadjusted linear regression models, % DMA was 2.4 (2.1, 2.6) % higher per increase in body mass index category (< 25, ≥25 & <30, ≥30 & <35, ≥35 kg/m2), and % MMA was 1.6 (1.4, 1.7) % lower. Similar patterns were observed for % body fat, fat free mass, and waist circumference measures in unadjusted models and in models adjusted for potential confounders, but the associations were largely attenuated or disappeared when adjusted for body mass index.
conclusionMeasures of body size, especially body mass index, are associated with arsenic metabolism biomarkers. The association may be related to adiposity, fat free mass or body size. Future epidemiologic studies of arsenic should consider body mass index as a potential modifier for arsenic-related health effects.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.