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. Author manuscript; available in PMC: 2021 Aug 31.
Published in final edited form as: Cancer Epidemiol. 2021 Aug 19;74:102010. doi: 10.1016/j.canep.2021.102010

Cancer Mortality 1981-2016 and Contribution of Specific Cancers to Current Socioeconomic Inequalities in All Cancer Mortality: a Population-based Study

Denise Brown a,✉, David I Conway b, Alex D McMahon b, Ruth Dundas a, Alastair H Leyland a
PMCID: PMC7611600  EMSID: EMS133138  PMID: 34418667

Abstract

Background

In many high-income countries cancer mortality rates have declined, however, socioeconomic inequalities in cancer mortality have widened over time with those in the most deprived areas bearing the greatest burden. Less is known about the contribution of specific cancers to inequalities in total cancer mortality.

Methods

Using high-quality routinely collected population and mortality records we examine long-term trends in cancer mortality rates in Scotland by age group, sex, and area deprivation. We use the decomposed slope and relative indices of inequality to identify the specific cancers that contribute most to absolute and relative inequalities, respectively, in total cancer mortality.

Results

Cancer mortality rates fell by 24% for males and 10% for females over the last 35 years; declining across all age groups except females aged 75+ where rates rose by 14%. Lung cancer remains the most common cause of cancer death. Mortality rates of lung cancer have more than halved for males since 1981, while rates among females have almost doubled over the same period.

Conclusion

Current relative inequalities in total cancer mortality are dominated by inequalities in lung cancer mortality, but with contributions from other cancer sites including liver, and head and neck (males); and breast (females), stomach and cervical (younger females). An understanding of which cancer sites contribute most to inequalities in total cancer mortality is crucial for improving cancer health and care, and for reducing preventable cancer deaths.

Keywords: Neoplasms, Mortality, Socioeconomic Factors, Scotland

1. Introduction

Cancer is the second leading cause of death worldwide with approximately one in six deaths globally,1 and one in four deaths in Europe and in the UK, due to cancer. It is the leading cause of death in Scotland (population of approximately 5.4 million) with 16,250 cancer deaths recorded in 2018 (27% of total deaths). Cancer mortality rates have fallen by 24% for males and by 10% for females since 1981; small declines compared to those observed for other major causes of death, such as ischaemic heart disease and stroke.2

Cancer mortality rates in Scotland are higher than the UK as a whole for all cancers3 and for several specific cancers.4 Lung cancer mortality rates, in particular, are around a third higher than the UK average.5 While current male lung cancer mortality rates in Scotland are comparable to European rates, rates for females in Scotland are more than twice the rates for females in Europe.6,7

Describing the magnitude of social inequalities in cancer and monitoring progress in reducing social inequalities in cancer has been recommended as a priority for research.8 A recent publication from the International Agency for Research on Cancer (IARC) highlights the large differences in cancer incidence, survival and mortality that exists between and within countries across social groups9. In Scotland, overall cancer mortality rates are currently around 74% higher in the most deprived areas compared to the least deprived,7 reflecting persistent inequalities in cancer incidence10 and cancer survival.11

Reducing social inequalities in total cancer mortality requires an understanding of the contribution of site-specific cancers to absolute and relative inequalities in cancer mortality. Our work examines the extent to which specific cancers contribute to current inequalities in cancer mortality in Scotland. We also look at long-term trends in cancer mortality in Scotland by age group, sex, and area deprivation using high-quality routinely collected Scottish mortality and population records.

2. Methods

2.1. Cancer mortality

We examine cancer deaths in the four-year period around each census 1981 (1980-83), 1991 (1991-93), 2001 (2000-03) and 2011 (2010-13), and in the four-year period around 2016 (2015-18). We used four years of death data around each period to improve robustness of the mortality rates; however note that deaths in 1990 were excluded from the analysis due to an issue with assigning some deaths to postcodes at that time.12 Individual level death data were obtained from vital events records held by National Records of Scotland. These data included information on age, sex, underlying cause of death and area of residence (used to assign deaths to an area deprivation measure). A small percentage of cancer deaths (around 0.6%) were excluded from the analysis due to insufficient information on age, sex or area of residence. The underlying cause of death was coded in accordance with the International Classification of Diseases (ICD) using ICD-9 codes 140-208 for cancer deaths in 1981 and 1991 and ICD-10 codes C00-C97 for cancer deaths in 2001, 2011 and 2016.

2.2. Specific cancers mortality

We examined deaths for all cancers and for the most common cancer sites in males and females in Scotland in 2018 as detailed in the Scottish Cancer Registry, Public Health Scotland (PHS)13 or, for comparison, in Europe based on the European Cancer Information System (ECIS)6 (Supplementary Appendix Table A.1).

2.3. Population size

We use census population estimates of the usually resident population on census day in Scotland in 1981 (n = 5,178,248), 1991 (n = 5,106,135), 2001 (n = 5,062,011), 2011 (n = 5,295,403), and mid-year small area population estimates14 for 2016 (n=5,404,700).

2.4. Area deprivation

Carstairs deprivation scores were used to assess area-level deprivation. Scores were created, following the 1981, 1991, 2001 and 2011 censuses,15 by combining four variables taken from census data; male unemployment (proportion of economically active males seeking or waiting to start work), low social class (proportion of people living in households with the household reference person in semi-skilled or unskilled manual occupations), overcrowding (proportion of people living in households at a density of more than one person per room) and no car ownership (proportion of people living in households with no car). Carstairs scores, historically, were created at the postcode sector level of geography (average population size 5,233, min: 52, max: 21,159 in 2011) but were created for additional census geography in 2011, including 2011 data zones (average population size 759, min: 147, max: 2,901).12 Postcode sectors, available from death certificates, were linked to the appropriate version of Carstairs (i.e. 1981 Carstairs scores assigned to deaths in 1981). For deaths in 2016, mid-year estimates of the population (for calculation of directly age-standardised mortality rates) were not available at postcode sector level. Deaths in 2016 (and 2011 for comparison) were assigned to 2011 Carstairs scores based on 2011 data zones, for which mid-year estimates of the population are available. Information on area of residence from death certificates in 2011 and 2016 was first linked to 2011 census output areas, from which 2011 data zones are built, and then to 2011 data zones.

2.5. Analyses

Cancer mortality rates were age-standardised using the 2013 European standard population. We present rates by 15-year age groups for all cancers and for age groups 30-44, 45-59, 60-74 and 75+ for specific cancers, due to small numbers of deaths at younger ages. Cancer mortality rates shown by Carstairs scores divided into population-weighted deprivation fifths are for all ages.

The slope index of inequality (SII) and relative index of inequality (RII) are used to examine current absolute and relative inequalities.16 Different methods have been proposed for the calculation of SII and RII.17 We calculate SII here by fitting a linear regression18 of the age-standardised rates, weighted by the size of the deprivation groups. The larger the slope coefficient the higher the impact of deprivation on absolute differences in rates. The SII can be calculated for all cancers or for specific cancers, with the sum of the SII for specific cancers equal to the SII for all cancers. This allows us to decompose the SII and examine the contribution of specific cancers to inequalities in all cancer mortality. The RII is obtained by dividing the SII by the population mean rate and can be decomposed in the same way. An RII value of zero indicates that there is no inequality while a value of one suggests that cancer mortality rates in the most deprived areas are about 50% above the average cancer mortality rate (and about 50% lower than average in the least deprived areas).

3. Results

3.1. Cancer mortality

There were 13,923, 15,054, 14,968, 15,575 and 15,945 cancer deaths, respectively, on average per year over each period (Supplementary Appendix Table A.2), accounting for 22.0%, 24.6%, 26.1%, 28.8% and 28.2%, respectively, of the average number of all deaths per year in each period. Male age-standardised cancer mortality rates fell from 497 to 379 per 100,000 population between 1981 and 2016, a reduction of 24% (Table 1). Over the same period, female rates decreased by 10%, from 297 to 267 per 100,000 population. Most age groups saw a reduction in rates over the last 35 years. The exception is for females, aged 75+, where rates increased by 14%. Corresponding mortality rates for all cancers, excluding non-melanoma skin cancer (NMSC), are shown in Supplementary Appendix Table A.3.

Table 1.

Age-standardised all cancers and specific cancers mortality rates (per 100,000 population) for males and females, 1981 (1980-83), 1991 (1991-93), 2001 (2000-03), 2011 (2010-13) and 2016 (2015-18). Rates are shown for all ages and for 15-year age groups (for cancer sites, rates are shown for 15-year age groups from 30+).

Males Females
Years % Change Years % Change
Age 1981 1991 2001 2011 2016 1981 – 2016 1981 1991 2001 2011 2016 1981 – 2016
All cancers (ICD-9140-208; ICD-10 C00-C97)
0-14 5 3 4 2 2 -57 4 4 2 2 2 -
15-29 9 6 6 5 4 -51 7 6 5 5 4 -45
30-44 37 31 24 21 22 -42 53 43 33 30 29 -46
45-59 280 256 206 160 148 -47 252 236 194 163 148 -41
60-74 1181 1199 1029 838 766 -35 679 746 675 620 563 -17
75+ 2603 2795 2689 2563 2406 -8 1339 1442 1543 1553 1522 14
All ages 497 497 461 461 379 -24 297 297 298 298 267 -10
Lung (ICD-9 162; ICD-10 C33-34)
30-44 8 5 3 3 3 -66 4 4 3 2 2 -
45-59 120 85 58 41 35 -70 51 45 40 38 30 -41
60-74 529 481 343 257 217 -59 146 205 196 201 177 21
75+ 855 822 683 605 520 -39 137 229 311 372 371 170
All ages 191 191 131 131 90 -53 48 48 69 69 69 45
Colorectal (IC-9153,1540-154.1; ICD10 C18-20)
30-44 3 3 2 2 3 - 3 2 2 2 3 -
45-59 27 31 21 15 16 -41 21 21 14 13 14 -35
60-74 115 122 111 83 76 -34 85 80 57 49 45 -47
75+ 349 354 311 285 266 -24 265 220 191 171 170 -36
All ages 57 57 51 51 40 -29 43 43 30 30 26 -39
Prostate (ICD-9 185; ICD-10 C61)
30-44 0 0 0 0 0 -
45-59 5 5 6 4 4 -2
60-74 66 83 79 63 63 -5
75+ 332 449 458 441 398 20
All ages 42 42 55 55 47 13
Breast (femde) (ICD-9174;ICD10 C50)
30-44 19 15 11 9 9 -53
45-59 74 68 51 38 32 -57
60-74 111 114 91 74 64 -42
75+ 186 209 193 177 166 -11
All ages 54 55 45 38 34 -37
Oesophagus (ICD·9150; ICD-10 C15)
30-44 2 2 1 1 1 - 1 0 0 0 0 -
45-59 14 19 19 16 14 4 5 7 5 4 4 -23
60-74 45 62 63 64 61 34 25 29 23 21 19 -23
75+ 99 110 132 132 126 27 62 77 73 67 61 -3
All ages 20 24 27 26 24 25 11 13 11 10 9 -13
Pancreas (ICD-9157; ICD10 C25)
30-44 2 1 1 1 1 - 1 1 1 1 0 -
45-59 12 10 11 9 8 -28 8 6 6 6 5 -36
60-74 48 44 40 42 42 -12 32 32 30 30 31 -4
75+ 106 101 81 94 90 -16 83 72 72 75 76 -8
All ages 20 19 16 17 17 -16 15 13 13 13 13 -11
Liver (ICD9155; ICD-10 C22)
30-44 1 1 1 1 1 - 0 1 0 0 0 -
45-59 4 5 5 7 8 135 2 2 3 3 4 -
60-74 14 17 23 32 36 152 6 7 11 14 17 194
75+ 25 37 39 70 94 269 11 18 24 35 45 317
All ages 5 7 8 13 16 196 2 3 5 6 8 225
Bladder (ICD-9188; ICD-10 C67)
30-44 0 0 0 0 1 - 0 0 0 0 0 -
45-59 8 7 4 3 2 -71 3 2 2 2 2 -
60-74 46 41 33 24 24 -49 18 16 12 11 9 -49
75+ 144 156 130 133 123 -15 44 48 47 49 46 5
All ages 22 22 18 17 16 -30 8 7 7 7 6 -19
Head and neck (ICD-9140-149,160-161; ICD10 C11-14, C30-32)
30-44 1 2 1 1 1 - 1 1 0 0 1 -
45-59 9 14 14 12 9 9 4 4 4 4 4 -
60-74 28 41 37 37 40 44 10 11 11 12 13 28
75+ 66 52 54 54 63 -6 22 20 17 21 22 0
All ages 13 15 14 13 14 13 5 5 4 5 5 0
Stomach (KD9151; ICD-10 C16)
30-44 3 2 1 1 1 - 2 1 1 1 1 -
45-59 25 14 9 6 5 -78 9 6 4 3 3 -66
60-74 98 75 50 29 22 -77 43 31 20 12 9 -80
75+ 196 168 133 102 80 -59 137 88 68 47 38 -72
All ages 39 31 22 15 12 -69 22 14 10 7 6 -74
Non-Hodgkin lymphoma (ICD9 200,202;I(CM0 C82-86)
30-44 2 2 1 1 1 - 1 1 1 1 0 -
45-59 5 8 6 4 4 -18 4 6 5 3 2 -48
60-74 20 22 27 20 18 -9 16 21 19 14 14 -15
75+ 35 57 60 60 67 93 27 40 48 46 45 69
All ages 8 11 11 10 10 27 6 9 9 7 7 10
Kidney (ICD-9189.0; ICD-10 C64)
30-44 1 1 1 1 1 - 0 1 0 0 0 -
45-59 7 8 7 6 6 -14 3 4 3 2 3 -
60-74 20 23 24 20 20 -3 11 12 12 11 10 -12
75+ 36 41 50 55 62 71 19 21 25 29 32 70
All ages 8 9 10 9 10 23 4 5 5 5 5 19
Leukaemia (ICD-9 204-208; Iœ·V0 C91-95)
30-44 2 2 2 1 1 - 2 2 1 1 1 -
45-59 6 4 4 3 3 -52 3 3 3 2 2 -
60-74 19 20 22 22 20 4 11 11 12 10 9 -14
75+ 61 49 67 77 69 12 33 28 35 39 37 11
All ages 11 9 11 12 10 -4 6 6 6 6 6 -11
Ovary (1CD9183.0; ICD10 C56)
30-44 4 2 1 2 1 -
45-59 19 20 14 10 9 -52
60-74 40 42 43 37 31 -23
75+ 43 55 67 65 65 51
All ages 15 16 16 14 13 -14
Corpus uteri (ICD-9182; ICD-10 C54)
30-44 0 0 0 0 0 -
45-59 3 2 3 2 3 -
60-74 11 12 11 14 16 42
75+ 20 18 24 28 34 69
All ages 4 4 5 5 6 44
Cervix uteri (ICD-9180;ICD10 C53)
30-44 6 5 3 3 3 -38
45-59 11 9 6 5 5 -57
60-74 20 16 8 6 5 -73
75+ 22 17 13 10 10 -54
All ages 9 7 4 4 4 -59
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Cancer mortality rates are rounded to the nearest whole number while % change shows the percentage change in actual (unrounded) rates. Note that % change is not calculated, for a particular age group, when rates are consistently <5 per 100,000 population over time.

3.2. Specific cancers mortality

Mortality rates for specific cancers are presented by age group in Table 1. Lung cancer remains the most common cause of cancer death for males, despite rates having more than halved since 1981. It is also the most common cause of cancer death in females with rates almost doubling over the last 35 years. Increases in female lung cancer mortality were mainly driven by increases in mortality among those aged 75 and older; however there was also an increase in 60-74 year olds.

Over the last 35 years female breast cancer mortality rates have declined by around a third, with reductions in mortality observed across all age groups. There have also been large reductions for females, across all age groups, in deaths from colorectal cancer (39%), stomach cancer (74%) and cervical cancer (59%). Liver cancer deaths have increased four-fold. Males also saw large reductions in mortality rates from colorectal cancer (29%) and stomach cancer (69%) as well as bladder cancer (30%). Deaths from cancer of the oesophagus have risen by a quarter over the period, with liver cancer deaths now three times as high as in 1981.

3.3. Cancer mortality by area deprivation

Cancer mortality rates are shown by deprivation fifths for males (Table 2a) and females (Table 2b) separately. Socioeconomic inequalities in cancer mortality assessed at 2011 data zone level are wider than when assessed at postcode sector level (Supplementary Appendix Figure A.1). This is likely due to areas being more homogenous in 2011 data zones, which have smaller population sizes on average. As a result we have examined change over time between 1981 and 2011 (postcode sectors), 2011 and 2016 (2011 data zones) and have approximated the overall change between 1981 and 2016.

Table 2a.

Age-standardised all cancer and specific cancers mortality rates (per 100,000 population) for males, all ages, in 1981 (1980-83), 1991 (1991-93), 2001 (2000-03), 2011 (2010-13) and 2016 (2015-18) by most to least deprived fifth, and for all Scotland.

Years % Change
1981 a 1991 a 2001 a 2011 a 2011 b 2016 b 1981 – 2011a 2011 – 2016b 1981 – 2016c
All cancers (ICD-9140-208;ICD10 C00-C97)
Most deprived 611 622 555 516 537 504 -15 -6 -21
2 534 544 490 441 452 431 -17 -5 -21
3 492 503 461 397 400 377 -19 -6 -24
4 438 470 427 368 352 334 -16 -5 -20
Least deprived 430 417 381 344 318 296 -20 -7 -26
All Scotland 497 510 461 407 407 379 -18 -7 -23
Lung (ICD-9162; ICD10 C33-34)
Most deprived 263 250 190 168 178 150 -36 -16 -46
2 215 196 149 126 135 120 -41 -11 -48
3 185 163 130 100 100 90 -46 -10 -52
4 150 141 107 85 76 66 -44 -13 -51
Least deprived 151 114 83 68 57 51 -55 -11 -60
All Scotland 191 172 131 106 106 90 -44 -14 -53
Prostate (ICD-9185; ICD10 C61)0
Most deprived 36 53 48 50 50 45 40 -8 28
2 45 53 52 49 47 48 8 2 10
3 43 53 56 48 50 50 12 -1 11
4 41 62 61 52 54 46 27 -14 9
Least deprived 43 54 58 55 52 46 28 -11 15
All Scotland 42 55 55 51 51 47 22 -8 13
Colorectal (ICD-9 153, 154.0-154.1; ICD-10 C18-20)
Most deprived 64 60 54 50 54 49 -21 -9 -29
2 57 60 53 46 45 43 -19 -4 -22
3 57 56 51 42 42 40 -26 -6 -31
4 55 64 50 38 37 38 -30 0 -30
Least deprived 53 55 48 40 38 35 -25 -8 -31
All Scotland 57 59 51 43 43 40 -24 -6 -29
Oesophagus (CD-9 150; ICD10 C15)
Most deprived 26 28 32 31 31 30 19 -6 12
2 18 24 27 26 29 28 49 -6 41
3 17 26 27 25 26 25 46 -2 43
4 20 24 25 25 24 22 29 -6 21
Least deprived 18 20 23 23 20 20 28 -4 23
All Scotland 20 24 27 26 26 24 33 -6 25
Pancreas (ICD-9157; ICD-10 C25)
Most deprived 21 20 18 18 18 19 -15 6 -10
2 19 20 18 20 20 19 1 -9 -8
3 22 20 15 16 17 15 -24 -10 -31
4 19 19 15 17 17 17 -14 -1 -14
Least deprived 19 15 16 16 15 16 -16 2 -14
All Scotland 20 19 16 17 17 17 -14 -3 -16
Liver (ICD-9155;ICD-10 C22)
Most deprived 7 11 11 19 19 26 188 40 304
2 5 6 10 13 14 18 161 35 253
3 7 7 9 13 14 16 82 12 104
4 4 5 7 12 11 13 183 16 229
Least deprived 5 7 6 10 9 11 114 17 150
All Scotland 5 7 8 13 13 16 140 23 196
Bladder (ICD9188;ICD10 C67)
Most deprived 29 23 20 20 22 17 -33 -22 -48
2 22 25 19 19 19 17 -14 -10 -23
3 22 21 19 17 16 17 -24 9 -18
4 21 21 15 15 14 14 -28 -1 -28
Least deprived 19 21 16 15 14 13 -24 -5 -28
All Scotland 22 22 18 17 17 16 -25 -7 -30
Head and neck (ICD9140-149,160-161; ICD-10 C11-14, C30-32)
Most deprived 18 21 23 23 24 28 30 19 55
2 15 17 17 16 17 19 9 7 17
3 13 14 13 13 13 13 5 0 5
4 10 12 10 10 9 9 -6 1 -5
Least deprived 9 9 8 8 7 8 -18 16 -5
All Scotland 13 15 14 13 13 14 6 6 13
Stomach (ICD9151; ICD10 C16)
Most deprived 48 42 31 18 20 19 -63 -5 -65
2 45 33 25 18 18 15 -61 -16 -67
3 40 32 22 16 15 12 -61 -22 -69
4 34 24 20 14 13 10 -59 -18 -66
Least deprived 31 22 16 12 12 8 -62 -36 -76
All Scotland 39 31 22 15 15 12 -61 -20 -69
Kidney (ICD9189.0;ICCD10 C64)
Most deprived 10 10 11 10 11 12 -2 13 11
2 9 9 10 11 10 11 25 8 35
3 9 9 11 10 11 11 6 4 10
4 7 8 10 9 8 10 16 18 37
Least deprived 7 11 9 9 8 9 22 8 31
All Scotland 8 9 10 9 9 10 13 9 23
Leukaemia (ICD-9 204-208;ICD-10 C91-95)
Most deprived 11 9 11 11 13 12 1 -1 0
2 11 8 11 12 11 11 6 -2 4
3 11 11 10 12 11 10 4 -6 -3
4 10 9 12 11 12 10 13 -21 -11
Least deprived 11 9 12 12 11 10 7 -12 -6
All Scotland 11 9 11 12 12 10 7 -1 -4
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a

Based on Carstairs deprivation fifths at the postcode sector level of geography

b

Based on Carstairs deprivation fifths at the data zone level of geography

c

Change between 1981 and 2016 calculated using ((1 + proportion change 1981-2011) * (1 + proportion change 2011-2016)) – 1

Table 2b.

Age-standardised all cancer and specific cancers mortality rates (per 100,000 population) for females, all ages, in 1981 (1980-83), 1991 (1991-93), 2001 (2000-03), 2011 (2010-13) and 2016 (2015-18) by most to least deprived fifth, and for all Scotland.

Year % Change
1981 a 1991 a 2001 a 2011a 2011b 2016b 1981 – 2011a 2011 – 2016b 1981 – 2016c
All cancers (ICD-9140-208;ICD-10 C00-C97)
Most deprived 343 361 350 352 366 353 3 -3 -1
2 306 321 311 302 313 303 -1 -3 -5
3 293 302 299 282 275 264 -4 -4 -7
4 285 300 275 256 241 230 -10 -4 -14
Least deprived 265 275 257 236 224 210 -11 -6 -17
All Scotland 297 312 298 283 283 267 -5 -6 -10
Lung (ICD-9162; ICD-10 C33-34)
Most deprived 72 94 99 117 127 121 63 -5 56
2 49 72 78 90 93 90 81 -3 76
3 43 58 65 72 71 69 67 -3 62
4 40 49 57 59 50 46 45 -8 33
Least deprived 37 48 46 46 39 36 24 -8 14
All Scotland 48 64 69 75 75 69 56 -7 45
Breast (female) (ICD-9174; ICD-10 C50)
Most deprived 55 55 44 39 36 36 -30 0 -30
2 53 53 45 37 39 35 -30 -11 -38
3 57 54 46 39 38 33 -31 -11 -39
4 55 57 45 37 38 33 -32 -14 -41
Least deprived 52 54 47 37 37 34 -28 -10 -35
All Scotland 54 55 45 38 38 34 -30 -11 -37
Colorectal (ICD-9 153, 154.0-154.1; ICD-10 C18-20)
Most deprived 42 36 31 30 30 30 -28 -1 -28
2 44 37 29 27 27 26 -40 -2 -41
3 43 37 30 26 26 27 -40 5 -37
4 44 41 30 25 25 24 -43 -6 -46
Least deprived 42 38 30 26 24 25 -39 2 -37
All Scotland 43 38 30 27 27 26 -38 -1 -39
Ovary (ICD9183.0; ICD10 C56)
Most deprived 14 17 14 14 15 13 -4 -10 -13
2 14 16 18 14 14 14 -4 -4 -8
3 16 17 16 15 14 12 -4 -18 -21
4 17 16 17 15 14 14 -12 3 -9
Least deprived 15 17 17 14 14 13 -8 -8 -16
All Scotland 15 16 16 14 14 13 -6 -8 -14
Pancreas (ICD9157; ICD10 C25)
Most deprived 17 14 14 16 15 15 -6 1 -4
2 15 14 14 14 16 14 -8 -10 -17
3 14 13 14 13 13 13 -2 1 -1
4 14 14 10 12 12 13 -12 3 -9
Least deprived 14 11 12 11 11 11 -22 3 -19
All Scotland 15 13 13 13 13 13 -10 -1 -11
Oesophagus (ICD9150; ICD-İ0 C15)
Most deprived 12 14 13 12 14 12 -2 -13 -15
2 11 14 12 11 12 11 -3 -9 -12
3 10 14 12 12 11 9 12 -17 -6
4 12 12 11 10 8 9 -14 4 -11
Least deprived 9 11 9 8 8 7 -8 -5 -12
All Scotland 11 13 11 10 10 9 -4 -9 -13
Liver (ICD-9155;ICD-10 C22)
Most deprived 3 4 6 9 9 11 178 20 234
2 3 4 4 7 6 8 137 20 185
3 2 3 4 6 6 7 203 20 264
4 2 3 4 5 5 7 147 36 235
Least deprived 2 3 4 5 4 6 158 45 274
All Scotland 2 3 5 6 6 8 162 25 225
Non-Hodgkin lymphoma (ICD-9 200, 202; ICD-10 C82-86)
Most deprived 8 9 9 8 8 8 9 7 17
2 6 8 9 6 8 7 -1 -12 -13
3 5 8 9 7 7 7 56 3 60
4 6 9 7 8 7 6 32 -10 19
Least deprived 7 8 9 7 7 6 7 -19 -13
All Scotland 6 9 9 7 7 7 18 -7 10
Corpus uteri ¢CD-9 182; ICD-10 C54)
Most deprived 4 4 4 6 6 6 42 4 48
2 5 4 5 6 5 7 23 35 67
3 5 4 5 5 7 7 0 7 7
4 4 4 4 5 4 6 0 53 53
Least deprived 4 4 5 6 6 6 61 7 72
All Scotland 4 4 5 5 5 6 0 17 44
Stomach (ICD9151; ICD10 C16)
Most deprived 30 18 16 9 10 8 -70 -26 -77
2 23 17 12 9 8 6 -63 -26 -73
3 22 13 9 8 6 6 -66 -10 -69
4 18 14 9 5 5 5 -70 0 -70
Least deprived 16 10 7 5 6 4 -68 -24 -76
All Scotland 22 14 10 7 7 6 -67 -21 -74
Leukaemia (ICD-9 204-208; ICD-10 C91-95)
Most deprived 6 7 6 6 6 6 13 -5 7
2 6 4 6 6 6 6 6 -6 -1
3 6 6 7 6 6 6 -6 -3 -9
4 6 5 6 6 6 5 3 -20 -17
Least deprived 7 6 6 6 5 5 -19 0 -19
All Scotland 6 6 6 6 6 6 -3 -9 -11
Cervix uteri (ICD-9180;ICD10 C53)
Most deprived 13 10 6 6 6 6 -55 1 -55
2 10 10 5 4 5 5 -64 3 -63
3 8 7 5 4 4 4 -52 1 -52
4 7 6 3 3 3 2 -61 -32 -73
Least deprived 6 4 3 3 2 2 -53 -11 -58
All Scotland 9 7 4 4 4 4 -57 -5 -59
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a

Based on Carstairs deprivation fifths at the postcode sector level of geography

b

Based on Carstairs deprivation fifths at the data zone level of geography

c

Change between 1981 and 2016 calculated using ((1 + proportion change 1981-2011) * (1 + proportion change 2011-2016)) – 1

Table 2a shows that between 1981 and 2011 cancer mortality rates, for males of all ages, decreased from 611 to 516 per 100,000 population in the most deprived areas and from 430 to 344 per 100,000 population in the least deprived areas; larger absolute reductions, but smaller relative reductions, in the least deprived areas. Following 2011, there were further small decreases in cancer mortality rates across all deprivation fifths. In terms of specific cancer sites, relative inequalities have widened over time for lung cancer mortality. Both absolute and relative inequalities widened for liver cancer and head and neck cancer, while absolute and relative inequalities in bladder cancer mortality narrowed over time.

Female cancer mortality rates (Table 2b) increased from 343 to 352 per 100,000 in the most deprived areas between 1981 and 2011 while declining from 265 to 236 per 100,000 population in the least deprived areas. All deprivation fifths saw a small reduction in rates following 2011. Absolute and relative inequalities widened over time. Much of this widening was driven by increasing absolute and relative inequalities in lung cancer and liver cancer mortality.

3.4. Contribution of specific cancers to current inequalities in cancer mortality

The slope index of inequality (SII) and the relative index of inequality (RII) are used to examine the contribution of specific cancers to current absolute and relative socioeconomic inequalities, respectively, in overall cancer mortality. Figure 1(a) shows the SII in 2016, for males aged 30 to 90+. Absolute inequalities in cancer mortality gradually increase as the population ages and death rates rise. Absolute inequalities peak at around age 80-84 for males (absolute rate difference of 1,461 per 100,000 between the most and least deprived populations), steadily decreasing thereafter. The width of the different bands show the extent to which absolute inequalities in cancer mortality are attributable to specific cancers. Almost half of the absolute inequalities in cancer mortality at its peak are due to inequalities in lung cancer (absolute rate difference of 702 per 100,000 population). Colorectal, liver, head and neck, and stomach cancer also contribute to absolute inequalities at the peak with smaller contributions from other cancer sites. Figure 1(b) shows the corresponding RII plot for males aged 30 to 90+. Relative inequalities peak earlier than absolute inequalities at around age 50-54 years. The RII value at the peak is 1.2. This suggests that rates in deprived areas are around 60% higher than the average rate (and 60% lower than average in the least deprived areas). Together lung, liver and head and neck cancer explain just over two thirds of relative inequalities at its peak.

Figure 1.

Figure 1

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Contribution of selected specific cancers to absolute and relative inequalities in all cancers for deaths in 2016. Plots show (a) SII for males, (b) RII for males, (c) SII for females and (d) RII for females, for five-year age groups 30 to 90+. Cancer sites are coloured consistently across males and females

Figure 1(c) shows the SII, for females aged 30 to 90+. Similarly to males, absolute inequalities in cancer mortality peak at around age 80-84 for females (absolute rate difference of 871 per 100,000 between the most and least deprived populations). Again, deaths from lung cancer contributes most to absolute inequalities in female cancer rates, although the peak in lung cancer inequalities happens a little earlier at age 75-79. Relative inequalities (Figure 1(d)) peak at around age 60-64 for females, 10 years older than for males, with a value of 1.0. This suggests that rates in deprived areas are around 50% higher than the average rate. Relative inequalities in lung cancer mortality rates explains more than half the relative inequalities in total cancer mortality at its peak, although relative inequalities in lung cancer mortality rates don’t peak until age 65-69. At younger ages (ages 30-39), relative inequalities in total cancer mortality tend to be due to breast, ovarian and stomach cancer and cancer of the cervix.

4. Discussion

4.1. Discussion

Cancer mortality rates have declined in Scotland in the last 35 years, the gap between male and female cancer mortality rates has narrowed, and rates fell in all age groups with the exception of females aged 75+. For males, rates of liver cancer and head and neck cancer increased overall, and did so at a faster pace in the most deprived areas while male lung cancer declined but at a faster pace in the least deprived areas. Increasing rates of liver cancer may reflect increasing levels of alcohol consumption; alcohol sales in Scotland have shown a steady increase in recent years.19 Inequalities in liver cancer mortality may be due in part to the alcohol harm paradox, whereby at a given level of alcohol consumption, alcohol-related harms are more pronounced in those with lower socioeconomic status.20 Alcohol is also an important risk factor for head and neck cancer. For men, a combination of alcohol and tobacco has been shown to account for a larger proportion of head and neck cancers than smoking or drinking alone.21

For females, there was an overall increase in the rate of lung and liver cancer mortality with the increase higher in more deprived areas. Although the death rate from lung cancer remains greater for men, the narrowing of the gap between males and females reflects historical smoking patterns. Females took up smoking later than males, with the number of male smokers starting to decline around the 1950s compared to the 1970s for females. In many high income countries male lung cancer deaths are currently declining while female deaths have continued to rise.22,23 Previous work has reported increasing lung cancer mortality rates, in over 30 countries, among females aged 50-74.24 We found that female lung cancer mortality rates increased between 1981 and 2011 in the over 60s. Rates then declined between 2011 and 2016 for 60-74 year olds and remained stable for those aged 75+, which may suggest that female lung cancer mortality rates in Scotland have now peaked.

Over the last 35 years, males and females have seen large declines in deaths due to colorectal, stomach and bladder cancers with smaller declines in deaths due to pancreatic cancer and leukaemia. There have been declines in the rate of mortality of female breast cancer, ovarian cancer and cervical cancer. Small increases in mortality were observed for cancer of the uterus and prostate cancer, mainly driven by increases in the oldest age group. Liver cancer mortality rates increased for males and females. Many of these general patterns in cancer mortality have been observed in other high-income countries.25–27 Despite declining overall rates, socioeconomic inequalities in cancer mortality widened over time. Males saw a slightly larger absolute reduction in cancer mortality rates in the most deprived areas compared to the least deprived, however, relative inequalities between the most and least deprived areas widened, as is often the case in the context of declining mortality rates across socioeconomic groups.28,29 For females, both absolute and relative socioeconomic inequalities in total cancer mortality widened over the last 35 years with little change in rates in the most deprived areas and improvements in the least deprived areas. Many countries have reported widening socioeconomic inequalities in cancer mortality30–32 with inequalities larger for more preventable cancer sites.33 The World Health Organization (WHO) estimates that between 30-50% of all cancer cases are preventable with tobacco the single greatest avoidable risk factor for cancer mortality.34 Smoking prevalence has declined in Scotland over the last 15 years, however, in 2018 those in the most deprived areas were more likely to smoke (32% compared to 9% in the least deprived areas) and to smoke a higher number of cigarettes (13.2 mean cigarettes in the most deprived areas compared to 9.4 in the least deprived).35

Current absolute socioeconomic inequalities in cancer mortality increase with age up to age 80-84 for males and females, after which they start to decrease. Relative inequalities peak earlier, at age 50-54 for males and age 60-64 for females. While absolute inequalities are often highest in age groups with most deaths, relative inequalities tend to peak earlier;36 often due to higher premature mortality rates in the most deprived areas. Populations in the most deprived areas also experience higher levels of comorbidity and multimorbidity often with poorer access, in terms of service availability and uptake, to health services.37 Given that absolute and relative socioeconomic inequalities in cancer mortality persist even in the oldest age groups, it is increasingly important that public health tackles socioeconomic inequalities in health, reducing inequalities across the life course in order to reduce inequalities in older age.

4.2. Strengths and limitations

This is a large population-wide study using high-quality population data to examine long-term trends and socioeconomic inequalities in cancer mortality rates. It is an ecological study that analyses data at an aggregate level and therefore our conclusions relate to populations and not individuals.

The choice of socioeconomic indicator is important, and findings are likely to differ across different socioeconomic measures.38 We used Carstairs deprivation scores. As scores are census-based, they most accurately capture area deprivation around census periods 1981, 1991, 2001 and 2011. Some have questioned the current validity of the variables used in the construction of Carstairs scores.39 Overcrowding now only affects a small percentage of the population (3.3%) and car ownership is seen as more of a necessity in rural areas than in urban areas. Carstairs scores also only take into account male unemployment rates. However, describing inequalities over time requires a consistent socioeconomic measure and the availability of Carstairs scores over a period of four decades allows for long-term comparisons. A new small-area measure of deprivation has recently been developed for Scotland using alternative census variables including overall unemployment (male and female) and proportion of people with no school level qualifications,40 however this is only currently available for the 2001 and 2011 censuses. An alternative, widely used, deprivation measure in Scotland is the Scottish Index of Multiple Deprivation,41 although it is not recommended for examining trends pre-1996.42

We considered only cancer deaths here, not cancer incidence or survival, and we have no information on stage at diagnosis. Cancer incidence and survival may be subject to bias but, because death registration is a legal requirement,43 mortality data provides almost complete population coverage. We mainly focus on mortality of those aged 30+ because of the smaller numbers of death at younger ages. Around 87% of all cancer deaths globally occur in those aged 50 and over with around 1% of all cancer deaths occurring in those aged under 15.44 Children in high-income countries generally have good cancer outcomes45 while young adults (aged 15-29) tend to have more favourable outcomes relative to cancer at other ages.46

4.3. Conclusions and implications

Recent public health policies in the UK have aimed to reduce socioeconomic inequalities in cancer mortality.47–51 For these strategies to be successful it is important that they focus on upstream policies that address the socioeconomic determinants of health (i.e. tobacco control or alcohol minimum unit pricing) as they consistently achieve larger population health benefits than downstream policies52, that target for example, individual behaviour change. Reducing cancer mortality inequalities will also require addressing the inverse care law where those from the poorest areas with worst outcomes need better access to quality healthcare services, pathways to care and cancer screening programmes. Progress in reducing socioeconomic inequalities in cancer outcomes should be monitored and regularly reported and preventative strategies should focus on long-term goals with the aim of diminishing cancer inequalities between social groups.

Supplementary Material

Supplementary Appendix

Acknowledgements

We are grateful to National Records of Scotland for the provision of the mortality data.

Funding information

This research was funded by the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU17).

Abbreviations

ECIS

European Cancer Information System

IARC

International Agency for Research on Cancer

ICD

International Classification of Diseases

NHS

National Health Service

NMSC

Non-melanoma skin cancer

PHS

Public Health Scotland

RII

Relative index of inequality

SII

Slope index of inequality

WHO

World Health Organization

Contributor Information

David I Conway, Email: David.Conway@glasgow.ac.uk.

Alex D McMahon, Email: Alex.McMahon@glasgow.ac.uk.

Ruth Dundas, Email: Ruth.Dundas@glasgow.ac.uk.

Alastair H Leyland, Email: Alastair.Leyland@glasgow.ac.uk.

Data availability

The data that support the findings of this study are available from National Records of Scotland (https://www.nrscotland.gov.uk/). Restrictions apply to the availability of these data, which were used under license for this study. Data are available from the authors with the permission of National Records of Scotland.

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Appendix
EMS133138-supplement-Supplementary_Appendix.pdf (95.8KB, pdf)

Data Availability Statement

The data that support the findings of this study are available from National Records of Scotland (https://www.nrscotland.gov.uk/). Restrictions apply to the availability of these data, which were used under license for this study. Data are available from the authors with the permission of National Records of Scotland.

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