Systemic Arterial Hypertension in Patients Exposed to Cesium-137 in Goiânia-GO:
            Prevalence Study

Rodrigues, José Victor Rabelo; Pinto, Murillo Macêdo; Figueredo, Roberto Miller Pires; Lima, Helen de; Souto, Rafael; Sacchetim, Sylvana de Castro

doi:10.5935/abc.20170062

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Conversely, this study observed that across all obesity categories, cesium was associated with lower risk of prevalent hypertension. This is in contrast to Shiue [ 51 ] who reported a positive association between cesium and prevalent hypertension risk when using a substantively smaller data set of only the NHANES data from 2011 to 2012, while a small study from Brazil concluded those who were exposed to cesium had a prevalence of hypertension that was similar to that of the general population [ 52 ]. Lead exposure has long been known associated with weight loss and hypertension [ 16 , 53 ].…”

Section: Discussionmentioning

confidence: 68%

The Associations between Blood and Urinary Concentrations of Metal Metabolites, Obesity, Hypertension, Type 2 Diabetes, and Dyslipidemia among US Adults: NHANES 1999–2016

Swayze

Rotondi

Kuk

2021

Journal of Environmental and Public Health

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Background. Heavy metals are well known to be associated with cancer outcomes, but its association with obesity and cardiometabolic risk outcomes requires further study. Methods. Adult data from the National Health and Examination Survey (NHANES Continuous 1999–2016, n = 12,636 to 32,012) with data for blood or urinary metals concentrations and body mass index were used. The study aim was twofold: (1) to determine the association between heavy metals and obesity and (2) to examine the influence of heavy metals on the relationship between obesity and hypertension, type 2 diabetes, and dyslipidemia. Logistic regression was used to examine the main effects and interaction effects of metals and obesity for the odds of prevalent hypertension, type 2 diabetes, and dyslipidemia. Models were adjusted for age, gender, ethnicity, smoking status, physical active status, and poverty-income ratio, with additional adjustment for creatinine in models with the urinary measures of heavy metals. High-low concentration categories were defined by grouping metal quintiles with the most similar associations with obesity. Results. Blood lead had a negative linear association with obesity (odds ratio (OR) = 0.42, 95% confidence interval (CI) = 0.37–0.47). In those with obesity, high blood lead was associated with lower risk of prevalent dyslipidemia, while no association was found in those without obesity. The study observed a curvilinear relationship between urinary antimony and obesity with the moderate group having the highest odds of obesity (OR = 1.36, 1.16–1.59). However, the relationship between urinary antimony and prevalent hypertension and dyslipidemia risk was linear, positive, and independent of obesity. While not associated with prevalent obesity risk, high urinary uranium was associated with 30% ( P = 0.01 ) higher odds for prevalent type 2 diabetes. Conclusions. The impact of environmental factors on obesity and health may be complex, and this study reinforces the heterogeneous relationship between various metals, obesity, and obesity-related metabolic diseases even at levels observed in the general population.

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