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Research Article
Agro-Geology and CHD in Finland

Timo Toysa1*, Osmo Hanninen2 

1Vetrea Terveys Oy, Finland
2Department of Physiology, University of Eastern Finland, FI-70211 Kuopio, Finland, Email: osmo.hanninen@uef.fi

*Corresponding author:    Dr. Timo Toysa, Pohjolank 15, 74100 Iisalmi, Finland,
Email: timo.toysa@fimnet.fi

Submitted: 06-01-2015 Accepted: 08-24-2015 Published: 10 -02-2015

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Exceptional general and cardiac mortality of eastern Finland has been in focus of international interest, but not entirely explained. In environmental sciences the role of calcium (Ca), magnesium (Mg) and silicon (Si) in coronary heart disease (CHD) has been obscure. We compared CHD with groundwater (gw) Si (Si.gw), and variables associated with Si uptake: soil age, approximated by longitude (Long), temperature (Temp), soil type distribution and soil acidity (pH) in Finnish provinces (N = 11). Soil type proportions we assayed with proportions of coarse and finer mineral soils of cultivated fields (CoMS and FiMS, respectively) and effective cation exchange capacity of soil (CECe). Additionally we assayed soil and timothy (tim) Mg/Ca, gw hardness as (Ca+Mg) and latitude (Lat).


CHD and Si.gw associated oppositely with following factors (R.CHD/R.Si.gw): Long (+0.93***/-0.70*), CoMS (+0.67*/-0.58), Lat (+0.49/-0.79**), Si.gw (-0.86***/+1.00), gw (Ca+Mg) (-0.67*/+0.71*), Temp (-0.59/+0.85***), CECe (-0.51/+0.63*) and FiMS (-0.49/+0.50) and negligibly with others. Combining increased the explanative strength: e.g. [Temp, Si.gw] explained 82 % (p = 0.001), [CoMS,Temp,Si.gw,CECe] 90 % (p = 0.004**) and [Lat,Long,Temp,pH] 98 % (p = 0.000) of CHD variation. In regressions by [Temp,pH] pH coefficient got positive value for CHD and negative for Si.gw. [Long,Temp] explained 95 % of CHD and Si.gw variation (p = 0.000, for both). Timothy Mg/Ca explained 71 % of soil Mg/Ca, but nothing (< 1 %) of CHD variance. Groundwater hardness explained 70 % (p = 0.001) of CECe and 54 % (p = 0.013) Si.gw variance.


Factors associated with plant Si uptake explained remarkably more CHD variation than the earlier reported. Approximate soil age (Long) together with temperature explained very significantly variation in CHD and gw Si. Timothy Mg/Ca ratio did not explain CHD variation. Groundwater hardness predicted soil fertility, Si.gw and possibly selenium content.


Higher cardiac as also general mortality in eastern regions of Finland than in the west, documented since the 19th century [1], has been decades in the focus of international interest, but without satisfactory explanation. Only ca 40 % of the regional cardiovascular risk of the Eastern Finland was possible to explain by the conventional major and minor risk factors [2]. Carbonate associated Ca content of drinking water has been found to be highly significantly (p < 0.0001) negatively associated with cardiovascular mortality and significantly negatively with other mortality (p < 0.01) in the UK [3]. On the other hand Kousa et al. [4] have reported that Ca/Mg ratio in groundwater has been significantly positively associated with the acute myocardial infarction (AMI) in continental Finland. A dietary survey in Finland gave no east-west difference between dietary calcium and magnesium levels [5]. Loeper et al. [6] have reported that Si supplements could lessen the vascular atheroma formation in rabbits, administered intravenously or per os. Vegetable food rich in Si [7], is generally known to protect against CHD. Schwarz and colleagues [8] reported that the drinking water Si was highly significantly inversely correlated with the cardiovascular mortality in Finland. They listed seven studies, including five, where water Si was associated inversely with CHD. Ma and Takahashi wrote that Si uptake of rice was associated positively with temperature, negatively with pH, depending on Si content in soil solution [9]. This is on the other hand depending on soil type and soil age (soils derived from



Table 1. Western and Eastern Finnish provinces, their capitals, latitude, longitude, mean annual temperature and age adjusted CHD mortality of 35-64 y. old men in 1964-84 and in five periods within 1964-83 [17].

Agriculture table 6.1
volcanic ash and shale were found to be rich in soluble Si, and soils derived from aged volcanic ash, quartz porphyry and granite, and peat are poor in soluble Si) [10]. According to Soil Atlas of Europe [11] soil ageing is generally associated with the reduction of calcium carbonate and clay material from the upmost soil layers. Effective cation exchange capacity (CECe), equivalent sum of calcium, magnesium and potassium, can also be benefited for evaluation of soil type, because the lowest values refer on sand soils and these values increase towards clay soils, i.e. with decrease of particle size [12]. In Finland, grossly speaking, soil ageing is increasing from west to east, opposite to the shift of the western coast of continental Finland during the last ca 10,000 years [13]. During this time the West was less affected by weathering and erosion and got more eroded minerals. Not only soil solutions, but the organic acids excreted by plant roots and soil micro-organisms can by disintegrating solid soil minerals liberate cations and silicon available to plants [14].

Materials and methods

Latitude (Lat), longitude (Long) and temperature (Temp) were determined by province capitals, i.e. roughly indicating their population maxima. Names and location of the provinces and province capitals were determined benefiting maps of Finland [15] and Wikipedia [16] and internet pages of these capitals.Provincial age adjusted CHD of 35-64 y. old men (1/100,000), (three years sliding means from 1964-84) were obtained from Valkonen and Martikainen [17] (Tabl. 1).

Table 2. Agricultural and geologic variables. Soluble soil Ca, Mg and K and pH, [18], proportion of coarse mineral soils (CoMS) and finer mineral soils (FiMS), timothy Ca and Mg [19] groundwater Si, Ca and Mg [21].

 Agriculture table 6.2

Soluble mineral values of Ca, Mg and K from cultivated fields (soil), determined by using ammonium acetate acetic acid buffer, pH 4.65), are from Sippola and Tares [18]. Timothy mineral element contents (from the same fields as Sippola and Tares) and proportions of coarse and finer (clay and silt) mineral soils are from Kähäri and Nissinen [19]. Total number of samples of soil, timothy and soil-type (each) was 1993. Provincial temperature was determined with map of FMI [20] expressing mean annual temperatures combined with the map of Finland [15]. Provincial values of Si.gw, Ca.gw and Mg.gw from 11 provinces, total 729 captured springs and dug wells from 1999, was provided by Geological Survey of Finland (GSF) [21] (Tabl. 2). Åland was excluded because of small number of samples (6).


By correlations the agro-geologic and geographic factors could be divided in three groups: “cardio-toxic” (Long, Lat and CoMS), “cardio-protective” (Si.gw, gw (Ca+Mg), Temp, CECe and FiMS) and obscure (pH, Mg/Ca of timothy and soil). (Figure. 1-3). In the Figures provinces are in order of increasing CHD mortality, from the left (West) to the right (East). Variables have got only ranked values (cf. Spearman correlations). Figure. 4 shows the stability of relative provincial CHD mortality in five periods and their close associations with longitude.

Agriculture fig 6.1

  In Figure 1 we see the “cardio-toxic” variables: Lat, Long and CoMS, in Figure 2 “cardio-protective” variables: Temperature, FiMs, CECe, gw (Ca+Mg) and Si.gw. In Figure 3 are “obscure” environmental factors: pH, Mg/Ca of soil and timothy. In Figure. 4 shows relative provincial CHD mortality in five periods 1964-83 and longitude.

Agriculture fig 6.2
Agriculture fig 6.3

CHD and Si.gw associated oppositely with following factors (R.CHD/R.Si.gw): Long (+0.93***/-0.70*), CoMS (+0.67*/- 0.58), Lat (+0.49/-0.79**), Si.gw (-0.86***/+1.00), gw (Ca+Mg) (-0.67*/+0.71*), Temp (-0.59/+0.85***), CECe (-0.51/+0.63*) and FiMS (-0.49/+0.50) and negligibly with others (Table. 3)

Agriculture fig 6.4

Because the eastern provinces are to the north of the western ones, geographic associations were determined by partial, standardized, (std) correlations, too. Then values for R.CHD/ R.Si.gw of Long std were (+0.97***/-0.88***) and of Lat std (+0.82**/and -0.92***), respectively.

Other associations: Groundwater hardness associated significantly with CHD (-0.67*), Temp (+0.71*), CoMS (-0.63*), FiMS (+0.67*), Si.gw (+0.71*) and CECe (+0.83***). CECe showed negative trend with CHD (-0.51), associated significantly with Temp (+0.71*), CoMS (-0.81**), FiMS (+0.87***), Si.gw (+0.63*) and gw hardness.

Combination of agro-geological factors increased often their explanative variance. [CoMS,Temp] explained 51 % (p = 0.058), [CoMS,FiMS] 57 % (p = 0.033), [Temp,pH] 72 % (p = 0.006), [CoMS,Si.gw] 79 % (p = 0.002), [Temp, Si.gw] 82 % (p = 0.001), [CoMS,Temp,pH] 84 % (p = 0.004) and [CoMS,Temp,Si. gw,CECe] 90 % of CHD variance (p = 0.004**). Original Lat and Long fortified the “effect” of other factors: [Lat,Long,Temp,pH] explained 98 % of CHD variation (p = 0.000). In regressions by [Temp,pH] pH coefficient got positive value for CHD and negative for Si.gw. [Long,Temp] explained 95 % of CHD and Si.gw variation (p = 0.000, for both).

Timothy Mg/Ca explained 71 % (p = 0.001) of soil Mg/Ca, but nothing (less than 1 %) of CHD variance. Mg/Ca of soil showed positive trend with FiMS (+0.33) and negative with CoMS (-0.42). Timothy Mg/Ca associated negligibly with both of them.


Table 3. Agro-geologic and geographic variables and their associations – correlations (“R”), R square - and significances of associations with CHD and groundwater silicon.

Agriculture table 6.3


Possibly this is the first agro-geological analysis, or one of them, concerning associations of CHD with CECe, soiltypes,soil pH, soil and timothy Mg/Ca. CHD associations with hard water [3,4] and temperature [3] has been reported earlier.

Several factors (Lat , Long, CoMS, Si.gw, Temp and FiMS, gwhardness, CECe) were observed to associate oppositely to CHD
than to Si.gw. Three of them (Lat, Long and CoMS) can be labelled “cardio-toxic”, five (Temp, FiMS, CECe, gw (Ca+Mg) andSi.gw, “cardio-protective”. (Table. 3, Figure. 1 and Figure. 2). In the group of agro-geologic parameters Si.gw explained best of CHD variation and Temp best of Si.gw variation. Pure agro-geologicalparameters [CoMS, Temp,Si.gw,CECe] explained 90 % of CHD, which is more than in earlier studies [2]. Long std andLat std associated very strongly with CHD and Si.gw. Our measure of soil age (Long) and Temp, together, explained 95 % ofCHD and Si.gw variation. Variation of Si.gw can be understood so that Temp indicates speed of chemical and biologic processesand Long proportions of soil types and qualitative changes inside them.

Liberation of Si to soil solutions has been reported to associate negatively with pH [9]. Active carbonate buffer can reducesilicate liberation to soil solutions, when the carbonate buffer is active [22]. In this material pH showed positive trend withSi.gw (+0.34). This can be explained with strong association of pH with Temp (+0.75**) and with FiMS [9] (+0.61*). Aftercombining variable pH with Temp in CHD regression, the explanative strength of CHD variance increased from 35 to 72%. Here pH coefficient got positive value for CHD and negative for Si.gw as expected [9]. Exceptionally low CHD in Vaasa wasassociated with low soil age, low longitude, high Si.gw and moderately low pH, but low CECe and gw (Ca+Mg) supportingthe superiority of Si.gw to gw hardness as a prognosticating index (Figure. 2). Range of pH variation (5.33-5.68) was small,increasing risk of statistical error. Supposedly in less soaked (than paddy) soils pH differs in the colloidal micro-milieu ofroots from that gained in standard soil analyses. So in carbonate soils (in higher pH) Si.gw obviously could not predict Siuptake.

Ground water hardness has been reported to associate with CHD in several studies [4]. In this survey associations of CECeand gw hardness were highly similar with other factors (Temp, Si.gw, soil-types), but the association of CECe with CHD (-0.51) was weaker. CECe is known to be associated with soil fertility[12] and obviously so with well-being of plants, animals and humans.

Inter-provincial mean Si.gw content was only ca 6.4 mg/L. In Finland major intake of Si (29 mg) comes from the food [23].If we drink or take in our food 1 liter gw, our daily total intake would be ca 35 mg and proportion of Si.gw in total Si intakewere ca 18 %. So most important in Si.gw could be its role as an indicator of Si uptake in this pH range. We suggest that inhigher pH range Si.gw could decrease independently of Si uptake.

Effects of Si are suggested to be associated with its participation in collagen structures of arterial wall [24]. Thubrikar and colleagues [25] showed that artificial stabilization of arterial wall reduced atherosclerotic process, obviously by reducinglocal irritation/inflammation and possibly cholesterol synthesis in vascular walls [26]. But silicon has been shown to haveeffects on Mg uptake by cells, inflammation and blood pressure [27] and synergistic effects with copper (Cu) and antagonismwith zinc (Zn) [28], with obvious benefits and harms.

Organic soils are not included supposing that their mineral valuesvary greatly depending on subsoil and subtypes of organicsoils [10]. Proportion of CoMS varied from 13 to 74 %, FiMS from 7 to 83 %, their sum from 60 to 95 %, maximum ≤100. Sothey are not totally independent variables. Exclusion of organic soils explains why timothy Mg/Ca associated (slightly) negatively with CoMS and FiMS. Association of selenium with claysoils (FiMS) could explain some of their beneficial effects [29]. Surprising is that the increased inter-provincial and internationalfood transport did not remarkably change the CHD east/ west ratio during the 20th century. The authors have suggestedthat an additional explanation for geographic (Lat and Long) differences could be included in different vitamin D synthesisvia skin [30].


Factors associated with plant Si uptake explained remarkably more CHD variation than the earlier reported. Approximatesoil age (longitude) together with temperature explained very significantly variation in CHD and groundwater Si. TimothyMg/Ca ratio did not explain CHD variation. Groundwater hardness predicted soil fertility, Si.gw and possibly selenium content.


We appreciate professor Simo Näyhä (Oulu) for kind comments and discussions.



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Cite this article:  Toysa T. Agro-Geology and CHD in Finland. J J Agriculture. 2015, 1(1): 006.

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