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. 2014 Apr 10;14:250. doi: 10.1186/1471-2407-14-250

Table 2.

Changes in period and cohort effects on haematological cancer mortality rates by sex, Spain 1952-2006

 
Net drift 1
Change in period effect 2
Change in cohort effect 3
Haematological cancer Year of death
Difference in
Birth year
Difference in
Birth year
Difference in
(95% CI) (95% CI) APC (95% CI) (95% CI) APC (95% CI) (95% CI) APC (95% CI)
Hodgkin’s disease
 
 
 
 
 
 
 
Men
-2.3 (-2.6 to -2.1)
1967.7 (1965.5–1972.5)
-6.3 (-7.5 to -5.0)
1914.1 (1904.0–1919.0)
-2.3 (-2.9 to -1.7)


Women
-1.8 (-2.0 to -1.5)
1965.9 (1965.0–1968.0)
-5.2 (-6.0 to -4.4)
1915.1 (1909.5–1919.0)
-3.5 (-4.8 to -2.2)
1932.0 (1927.0–1976.5)
1.5 (0.2 to 2.9)
Non-Hodgkin’s lymphoma
 
 
 
 
 
 
Men
2.3 (2.0 to 2.5)
1994.5 (1990.0–NA)
-3.3 (-5.1 to -1.5)
1919.9 (1915.0–1924.5)
-3.6 (-4.1 to -3.1)
1968.7 (1962.0–1975.0)
-4.9 (-6.2 to -3.6)
Women
3.0 (2.7 to 3.3)
1994.5 (1989.0–NA)
-3.5 (-6.0 to -1.0)
1918.7 (1917.0–1920.5)
-4.3 (-4.6 to -3.9)
1954.1 (1945.5–1962.0)
-2.3 (-2.9 to -1.6)
Multiple myeloma
 
 
 
 
 
 
 
Men
3.6 (3.4 to 3.9)
1986.1 (1975.5–1994.0)
-4.3 (-6.0 to -2.6)
1909.1 (1905.0–1911.5)
-6.1 (-6.9 to -5.2)
1928.9 (1923.5–1936.5)
-1.8 (-2.3 to -1.3)
Women
3.6 (3.2 to 3.9)
1987.0 (1975.0–1994.0)
-3.9 (-5.7 to -2.0)
1905.4 (1902.5–1910.0)
-6.1 (-7.8 to -4.5)
1924.7 (1922.0–1930.0)
-2.9 (-3.5 to -2.3)
Leukaemia
 
 
 
 
 
 
 
Men
-0.1 (-0.2 to 0.1)
1964.5 (NA–1969.5)
-3.6 (-5.8 to -1.3)
1913.4 (1907.5–1916.5)
-4.3 (-4.9 to -3.7)
1964.6 (1939.5–1973.0)
-2.5 (-3.3 to -1.7)
Women -0.3 (-0.5 to -0.2) 1964.5 (NA–1967.0) -4.4 (-5.7 to -3.0) 1910.1 (1907.5–1915.5) -5.1 (-5.8 to -4.4) 1966.2 (1953.5–1972.5) -2.8 (-3.6 to -2.0)

1Overall annual percent change in age-adjusted mortality rates and 95% confidence interval (CI) obtained from the sum of period and cohort linear slopes from the three-factor model. 2Difference in annual percent changes (APCs) before and after the estimated year of death with significant trend change as obtained from the weighted joinpoint regression analysis of period curvatures from the three-factor model. 3Differences in annual percent changes (APCs) before and after the estimated birth years with significant trend changes as obtained from the weighted joinpoint regression analysis of cohort curvatures from the three-factor model.