Pulp Mills and Cancer Association

Experimental Determination of Excess Lung Cancers in Pulp Mill School Districts Versus Control No Mill Districts

By: Jorma Jyrkkanen. Sept 1990.

I addressed the simple null (Ho) hypothesis that living in a pulp mill town would have no impact on the incidence of lung cancer (LC) mortality. The research hypothesis (Hi) is that yes there is an effect air pollutants and that it would be elevated leading me to select a one-tailed test.

Major assumptions are that the populations being drawn upon are similar in demographics and life-styles, and that sampling is random, and that there are no other major sources of lung carcinogens. These assumptions are unexplored and should be examined in greater depth if one wishes to improve certitude.

I therefore decided to use the parametric Students t-test with alpha=.05 (the risk that chance alone could cause the observed effect in 5% of cases) and 1-tailed, unequal sample size model. Data (Tables 1, 2) were obtained from Gallagher et. al. 1986. Occupational mortality in BC.. Health and Welfare Canada. BC Research.

Table 1. LC DEATHS AMONG MALES AND FEMALES AMONG TOTAL DEATHS WHERE THERE ARE NO PULP MILLS IN THE SCHOOL DISTRICT

 No Mills in School District  Male LC deaths  Total Male deaths  Female LC deaths  Total Female deaths
         
 Nelson  112  2882  33  1938
 QCI  15  445  4  234
 Merrit  38  922 9 535
Smithers 29 797 7 448
Terrace 56 2530 8 1049
Stikine 5 246 0 122
Keremeos 21 551 2 260
Summerland 46 981 15 688
Central Okanag. 326 6702 89 4415
Vernon 168 3957 49 2693
Penticton 147 3259 40 2153
Delta 164 2871 64 2133
Mission 86 2016 25 1183
         
N=13        

Table 2. LC DEATHS AMONG MALES AND FEMALES AMONG TOTAL DEATHS WHERE THERE ARE PULP MILLS IN THE SCHOOL DISTRICT

Yes Mills in School District Male LC deaths Total Male deaths Female LC deaths Total Female deaths
         
Prince George 230 4874 63 2226
Castlegar 47 1126 9 744
Prince Rupert 74 2164 12 1091
Campbell River 98 1836 37 999
Kamloops 250 5669 68 3090
Port Alberni 119 2959 21 1718
Harmac 359 6327 105 4313
Powell River 110 1919 31 1214
Howe Sound 50 862 16 443
         
N=9        

 

 

Analysis

 

Table 3. Statistical comparisons of percentage Lung Cancer mortality between mill school districts and non-mills school districts for males.

MALE LC MORTALITY

 N  No Mills LC%  Mills LC%
   X2 X1
1 3.88619 4.781917
2 3.370787 4.174067
3 4.121475 3.419593
4 3.638645 5.337691
5 2.213439 4.409949
6 2.03252 4.021629
7 3.811252 5.674095
8 4.689093 5.732152
9 4.86422 5.800464
10 4.245641  
11 4.510586  
12 5.712295  
13 4.265873  
     
Mean 3.950924 4.80984
SE 0.27927 0.28829
Median 4.121475 4.718917
SD 1.006922 0.864871
Var 1.013891 .748
CL 0.688477 0.665
     

 

The results of the Student’s-t test appear in Table 4 below.

 

 

 

 

 

 

 

Table 4. Results of Student’s-t test

Students t-test assuming Var1=Var2 (Using Microsoft Software in Excel)  
     
Mean 3.956319 4.80984
Var 1.105651 0.85656
Pooled Variance 1.007604  
Hypothetical mean diff 0  
Calculated t-statistic 1.88771 Significant
P(T<=t), one-tailed 0.037648  
t-critical, one-tailed 1.734063  
P(T<=t), two-tailed 0.075296  
t-critical, two-tailed 2.100924  

 

 

Conclusion

Since the calculated t 1.88771 falls within the region of rejection, exceeding the critical tabular value 1.734063 (Table 4.), the null hypothesis must be rejected, that is Ho is rejected and therefore the research hypothesis (Hi) must be accepted, implying that there is an elevated lung cancer mortality amongst males in the Mill school districts (.025

<.05).

To conclude, the Mill districts exhibited statistically significantly higher lung cancers in males (4.81% Lung Cancer mortality) compared to No Mill districts (3.95%LC mort) (P(T<=t), one-tailed = 0.037648) as I had predicted. This test alone is not proof however of causality but is highly suggestive. This is especially so when considered along with the other evidence I have examined (see Fenni-excerpts in jormabio/archives).

When the analysis was conducted for females, the same pattern was found for females though the magnitude of the effect was about half.

Warning! When I did this cursory analysis for BONE CANCER, I found that it was very highly linked to pulp mill school districts and should be investigated for specific causal agent.

© 2010 Jorma Jyrkkanen. All rights reserved.

Tags: cancer, pulp mills, males, females, British Columbia 


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