2004
DOI: 10.1016/j.jpeds.2003.10.058
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Cardiac autonomic activity in methylmercury neurotoxicity: 14-year follow-up of a Faroese birth cohort

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Cited by 197 publications
(142 citation statements)
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“…44 Neurobehavioral research has only recently begun to include cardiovascular parameters, and adverse cardiovascular effects in children are now known to occur as a result of exposures to neurotoxicants, such as lead 45 and methylmercury. 46,47 In the present study, the exposure-related increase in systolic blood pressure and the smaller, not statistically significant, increase in diastolic blood pressure were independent of stunting and other covariates. Parallel to this increase, a higher number of exposed children exceeded the expected normal range of systolic blood pressure.…”
Section: Discussioncontrasting
confidence: 46%
“…44 Neurobehavioral research has only recently begun to include cardiovascular parameters, and adverse cardiovascular effects in children are now known to occur as a result of exposures to neurotoxicants, such as lead 45 and methylmercury. 46,47 In the present study, the exposure-related increase in systolic blood pressure and the smaller, not statistically significant, increase in diastolic blood pressure were independent of stunting and other covariates. Parallel to this increase, a higher number of exposed children exceeded the expected normal range of systolic blood pressure.…”
Section: Discussioncontrasting
confidence: 46%
“…We measured 300 R-R intervals in the supine position (i.e., approximately for 3 min in preschool children or for 5 min in adults), and HRV parameters were calculated from consecutive R-R intervals with minimal deviation; i.e., the process of R-R interval data extraction for spectral analysis does not depend on observers (Murata et al 1992Grandjean et al 2004;Ishii et al 2005). Liao et al (1997) also computed LF-and HF-PSDs of HRV from 2-min beat-to-beat heart rate data in the Atherosclerosis Risk in Communities (ARIC) study.…”
Section: Discussionmentioning
confidence: 99%
“…In applying spectral analysis with fast Fourier transformation, the ARIC study used records of beat-to-beat data of 2.5 min to capture a few cycles of low-frequency heart rate fluctuation (Liao et al 1997). We employed a samplingtime of 1 msec and the autoregressive spectral model, and the model does not seem to have caused such problems (Murata et al 1992(Murata et al , 2006Grandjean et al 2004;Ishii et al 2005). Thus, it is suggested that our findings were not heavily influenced by such measurement errors.…”
Section: Discussionmentioning
confidence: 99%
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