#Regional Groundwater Hardness and Silicon, #Cropland Fertility and CHD in Finland by Timo Töysä in BJSTR
Abstract
Abstract: The status of silicon (Si) in agriculture, veterinary and
human medicine is not clear. This survey is based on old data, but
groundwater(from springs and dugwells) data have been newly classified
by 21 Rural Centers (RC). RC CHD has been estimated by provincial
data. The aim of this paper is to clarify associations between CHD
mortality, groundwater (GW) hardness (Ca+Mg), Si.gw, cropland (soil)
(Ca+Mg) - a measure of soil fertility - and, pH and temperature (Temp)
with regional parameters [latitude (Lat), longitude (Long)]. Regressions
are given separately for the whole Finland (“21.RC”) and continental
Finland (“20.RC”), i.e. without Åland - the only RC with pH.soil >
6.2.
Directions of trend lines of variables have been approximated.
Results: CHD regressions by Si.gw, by (Ca+Mg).gw and by
(combined) [Lat; Long], (Ca+Mg).gw regressions by (Ca+Mg).soil and by
[Lat;
Long] and, Si.gw regressions by (Ca+Mg).gw, by [Lat; Long], by
[Temp;(Ca+Mg).soil] and by [Temp;pH.soil] have been computed. In RC.20
all
associations were significant (p < 0.018). In RC.21 all regressions
without Si.gw were stronger than in RC.20, but by including Si.gw
associations
were weaker with one exception: [Temp; pH.soil] explained Si.gw stronger
than in RC.20 (by 68 %). The approximated CHD trend line angle was
smaller than the respective angles of Si.gw and (Ca+Mg).
Conclusion: In RC.20, where soil pH was below 6.2, Si.gw and
(Ca+Mg).gw were highly positively inter-correlated and soil fertility
could
be predicted by regional Si.gw. In RC.20 regression by Si.gw explained
better CHD than by (Ca+Mg).gw. Supposedly the health effects of Si could
be mediated directly through (soluble) Si in soil and via factors
associated with (Ca+Mg). In regional gw analyses the effect of (mother
earth)
pH needs attention.
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