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Varying evolution of the New Zealand lung cancer epidemic by
ethnicity and socioeconomic position (1981–1999)
Caroline Shaw, Tony Blakely, Diana Sarfati, Jackie Fawcett,
Sarah Hill
BackgroundNew Zealand has relatively high lung
cancer incidence and mortality, particularly among
Maori.1,2 Lung cancer incidence and mortality
trends largely reflect historical cigarette use and tobacco control
efforts—although the role of occupational exposures is probably
underestimated.3
In 1994, Lopez, using historical data from a number of
developed countries, proposed a model describing trends in tobacco-use and the
resultant health effects. He showed that tobacco-use tends to progress through
the population in a predictable way, like an ‘epidemic’, which
differs by sex and, possibly, socioeconomic group. He noted that males tend to
take up smoking initially and suffer the health consequences first, while
females take up smoking later, and at a lower rate than males, resulting in
fewer health consequences.4
The Lopez model also describes the transition in population
distribution of tobacco use from initially being equally distributed among
socioeconomic groups (or possibly concentrated in the higher socioeconomic
groups), to being concentrated among the lower socioeconomic groups as the
higher socioeconomic groups abandon smoking.4
Temporal trends in lung cancer incidence and mortality in
New Zealand demonstrate this epidemic pattern by sex (see Figure 1). These patterns by sex are similar to
trends seen in seen in Australia, the UK, Ireland, and the
USA.5–7
Source: New Zealand Health Information
Service
According to the Lopez model, one would anticipate that lung
cancer mortality would evolve from being an ‘egalitarian’ cause of
death to one that is progressively confined to the lower socioeconomic groups
over time (i.e. an increase in both relative and absolute
inequalities).8
Data on lung cancer mortality by socioeconomic position
(SEP) is not available in New Zealand prior to the 1970s. Data available for
males show higher rates of lung cancer mortality in lower socioeconomic groups
in 1974–78, 1984–87, and 1996–97; and for females in
1996–97.9–11 Unfortunately, these
studies do not allow us to evaluate whether inequalities are increasing or
decreasing over time, as different measures of socioeconomic position were used
in each study.
Ethnic disparities in lung cancer are not described in the
Lopez model. Given the importance of ethnicity on health, and the diverse ethnic
makeup of New Zealand’s population, it is important to explore the effects
of the lung cancer epidemic on the different ethnic groups in New Zealand. Lung
cancer incidence was higher for Maori compared with non-Maori in
1996–97,11 and incidence was higher in
Pacific people compared to non-Maori/non-Pacific in the
1980s.12
Systematic undercounting of Maori and Pacific people in
routine cancer incidence and mortality statistics means that these data are
likely to have underestimated the excess burden of lung cancer among Maori and
Pacific people.13,14
The New Zealand Census Mortality Study, through the
anonymous record linkage of census and mortality records, allows an accurate
description of ethnic and socioeconomic trends in lung cancer mortality in New
Zealand. To inform tobacco policy in New Zealand, these trends (particularly the
resultant future projections) need to be described. We hypothesise that, given
the current epidemic staging; socioeconomic inequalities in lung cancer will
have increased for females between 1981 and 1999. The tobacco epidemic peaked
earlier in men than in women, hence trends for males are less easy to predict.
We also hypothesise that there are likely to be divergent trends in lung cancer
mortality between ethnic groups.
MethodsBackground—The
methodology of the NZCMS is discussed in detail in other
publications.15–17 A brief summary of
methods relevant to this paper is included. We used direct analyses on NZCMS
data to determine socioeconomic trends. For ethnic trends, we applied adjustment
ratios (derived from the NZCMS) to routine mortality and census data in order to
compensate for undercounting of deaths in some ethnic groups in historical
mortality data.
Data—Four
population cohorts were constructed, by anonymously and probabilistically
linking individual census and mortality records over four time periods from
1981–1996. New Zealand Health Information Service (NZHIS) provided
mortality data for 0–74 year olds for the periods
1981–84,1986–89, 1991–94, and 1996–99.
The percentage of records linked ranged from
71–78%, with positive predictive value of the linkage in excess of
96%.15,16 Linkage varied by age, rurality,
ethnicity, and small-area deprivation so linkage weights were applied to
overcome any potential misclassification bias of the mortality outcome caused by
differential success of linkage.18 Deaths from
lung cancer (ICD 162) were identified from the ICD code for underlying cause of
death from the mortality data.
Socioeconomic
trends—All individuals aged 25–77 at follow-up (either 3
years after census or at death within those 3 years) with valid income or
education information were included in analyses. Information regarding education
was obtained from individual census forms, however this data was missing for
between 2–11% of census respondents.
An intercensal classification of educational
qualifications was used to harmonise educational categories across
censuses.16 Individuals were then divided into
three groups: those with no qualifications, school qualifications, and
post-school qualifications. Income was collated at a household level for
individuals aged 25–77 and equivalised for household size using the Jensen
equivalisation index.19
Incomes were consumer price index adjusted for
inflation to 1996 dollars, then divided into three income groups with cut points
of low (<$26 010), medium (>$26 010 to <$43 020), and high (>$43
020). The household income variable was unable to be calculated for between
15–21% of individuals due to one or more adults in the household being
absent on census night or declining to report an income.
Mortality rates (and 95% confidence intervals [CI])
were calculated with direct standardisation to the age and ethnic structure of
the 1991 cohort.20 To overcome the problem of
changing group size over time, the relative and slope index of inequality (RII
and SII, respectively) were used to calculate population inequality in relative
and absolute terms, respectively, in each
cohort.21
The RII is a regression based equivalent to a relative
risk measure for the poorest compared to the richest (or people with lowest
compared to highest educational qualification), but utilises mortality rates
across all levels of income (and education). The SII is the absolute difference
in mortality rates between the two extreme ends of the socioeconomic continuum.
Ethnic
trends—Mortality data was provided by the New Zealand Health
Information Services (NZHIS) for the years 1980–1999 by year of
registration of death. Years were grouped into four periods: 1980–84,
1985–89, 1990–1995, and 1996–99. For each of the four periods,
1981, 1986, 1991, and 1996 census data by strata of sex, age, and ethnicity were
used as denominator data in the calculation of mortality rates.
To adjust for the undercounting of Maori and Pacific
deaths on mortality records, adjustment factors were used to estimate correct
mortality counts. The method used to estimate the adjustment factors is
described elsewhere.14 These corrected
mortality counts and the census population counts were then used to calculate
direct age-standardised mortality rates (and 95% confidence
intervals),20 using the WHO standard population
as the standard population.22
This paper uses the prioritised concept of ethnicity.
In the ‘prioritised’ concept, ethnicity was assigned as Maori if one
of the up to three possible self-identified ethnicity responses on the 1986,
1991, or 1996 censuses was Maori or, in 1981, those who recorded any degree of
Maori ethnic origin.
For those not allocated as Maori, the prioritised
ethnic group was assigned as Pacific if one of the self-identified ethnic groups
was Pacific or, in 1981,any degree of Pacific ethnic origin was noted. The
remaining records were assigned as non-Maori non-Pacific, of whom the majority
were of NZ European ethnicity.
ResultsSocioeconomic trendsMales—Between
1981 and 1999, a decline in lung cancer mortality in all education and income
groups was observed among males. The rate of decline differed by socioeconomic
group, with the greatest decline being seen in the high-income group (52%, p for
trend 0.04) and the least in the post-school education group (12%, p for trend
0.23) (See Table 1 and Figure 2). Male mortality remained higher than female
mortality despite these substantial declines.
At all points in time there was a socioeconomic gradient in
male lung cancer mortality. That is, males in lower education and income groups
had higher mortality than those in higher income and education groups. For
example, the RII relative risk-type measure for education in 1981–84 was
2.30 (95% CI: 1.50–3.53), and the absolute difference counterpart (the
SII) was 66 per 100 000 (95% CI: 38–94). There was some evidence of
increasing relative inequality by income (i.e. RII increased from 1.80 in
1981–84 to 4.54 in 1996–99; p for trend 0.15), but little evidence
of changing relative inequality by education. There was no consistent trend
towards increasing or decreasing absolute inequalities by either income or
education (see Table 2).
Females—Lung
cancer mortality trends diverged between the different socioeconomic groups from
1981 to 1999. The low-income group had a 70% increase in mortality from 27/100
000 to 46/100 000 (p for trend 0.01); and similarly, mortality in the no
qualifications group increased from 29/100 000 in 1981 to 48/100 000 in 1999, a
66% increase (p for trend 0.02). The medium and high SEP groups showed no
significant change in mortality rates, although there was some indication that
mortality in high income groups may be falling over time (see Table 1 and Figure
2).
The divergent trends in mortality rates in the socioeconomic
groups in females are reflected in the population measures of inequality (see
Table 2). By income, there was little relative inequality in the 1981 cohort,
RII 1.14 (95% CI: 0.74–1.76); but by 1999, the RII had increased to 4.09
(95% CI: 2.51–6.67) (p for trend=0.03). Absolute inequality increased by
income from 4 per 100,000 (95% CI: -9–16) to 40 per 100 000 (95% CI:
20–60) (p for trend=0.06). Relative and absolute inequality also increased
by education.
Ethnic trendsMales—Maori
males had no decline in lung cancer mortality between 1980 and 1999, but there
was a 16% increase in Pacific male mortality and, by contrast, a 24% decline in
mortality for non-Maori/non-Pacific males (see Figure 3 and Table 3).
As a result of these different trends, ethnic inequalities
in lung cancer increased over the time period studied with Maori men being 3.50
times (95% CI: 3.19–3.84) more likely to die of lung cancer in 1999
compared to 2.07 times (95% CI: 1.87–2.29) in 1981. Pacific men were 1.35
times (95% CI: 0.99–1.83) more likely to die in 1981; but by 1999, this
had increased to 2.61 times (95% CI: 2.19–3.10).
Females—Non-Maori/non-Pacific
females had no change in mortality between 1980–1999 from 12/100,000 to
14/100,000. Pacific female lung cancer mortality was initially the lowest of all
ethnic groups at 5/100 000 in 1981, but increased to 20/100 000 by 1999. Lung
cancer mortality in Maori females was already about four times higher than
non-Maori/non-Pacific females in 1981, and subsequently increased 41% over the
time period, from 49/100 000 to 69/100 000 (p trend=0.01). By 1996, Maori
females were 4.92 (95% CI: 4.45–5.45) times more likely to die of lung
cancer than non-Maori/non-Pacific females (see Table 3).
DiscussionThis study shows that socioeconomic
and ethnic inequalities in lung cancer
mortality remained static or increased in New Zealand from 1981 to 1999. While
lung cancer mortality declined in males, there was no decrease in socioeconomic
inequalities, and there was a substantial increase in ethnic inequalities. For
females, there was not only an increase in overall mortality, but also an
increase in both ethnic and socioeconomic inequalities.
Overall trends in lung cancer incidence and mortality
suggest that New Zealand is in Stage 4 of the tobacco
epidemic,4 which along with Ireland and UK is
among the most advanced in the world.6 During
Stage 4, smoking prevalence in both sexes declines, as does male lung cancer
mortality, while female lung cancer rapidly rises to a peak and then starts to
wane. Findings around inequalities are of interest both domestically (in order
to plan local services) and internationally as a guide to what may be
anticipated if action to avoid inequalities is not taken.
Socioeconomic TrendsThis study shows that, despite the
peak in the male lung cancer epidemic 20 years ago and decreases in mortality
rates in all socioeconomic groups, inequality has not reduced. Similar findings
have been noted in the USA, UK, and Australia where relative and absolute
inequality do not appear to have
decreased.23–25 In contrast, findings in
Canada show that relative and absolute inequality have decreased among males
since the epidemic peaked.26
Interestingly, there was no evidence of the epidemic in
Canada being staged by socioeconomic position as lung cancer mortality in all
SEP groups (measured by area average income) peaked at the same time. This is in
contrast to findings in the UK and
US.23,24
In females, relative and absolute inequality has increased
despite a slowing of the rate of increase in the lung cancer mortality since the
1990s (rates are forecast to increase slightly during the next
decade).11 The increase in inequality is due to
the disproportionate increase in mortality among lower SEP groups. Comparable
patterns have been seen in the US, UK, and Australia, but not Canada where only
absolute inequality between the SEP groups increased as the epidemic increased
to a peak.23–26
Changes in lung cancer mortality reflect the historical
patterns in cigarette use by socioeconomic position and the staged nature of
smoking through the population (although other causes of lung cancer, such as
life course deprivation and occupational exposures, are important among lower
SEP groups).27,28
In New Zealand, population tobacco use has been monitored
only since 1976, when socioeconomic patterning of tobacco use was already
present in males and females.29 Subsequent
monitoring of these differences shows that, despite an overall decline in
smoking prevalence, socioeconomic inequalities in tobacco use have increased in
relative terms.30
Ethnic trendsThe ethnic trends in mortality in
New Zealand are extremely concerning. These findings suggest that lung cancer is
an increasing source of health inequality between ethnic groups in New Zealand.
There is evidence of differential survival from lung cancer by ethnic group,
related to stage and, possibly, healthcare
differences.11,31 Nevertheless, because of the
high fatality of lung cancer, changes in ethnic inequalities are largely due to
changes in underlying incidence.
The increase in Pacific lung cancer mortality is probably
due in part to the increasing prevalence of tobacco use in this group following
migration to New Zealand in the 1970s32
(although the lag period suggests that tobacco use may have increased prior to
migration). The mortality pattern in Pacific males is particularly interesting
given that it is in the opposite direction to other ethnic groups. It suggests
that migrant groups may not have the same overall trends in lung cancer as other
ethnic groups in the population.
The different lung cancer mortality trends among Maori
compared to non-Maori/non-Pacific may reflect Maori being in an earlier stage of
the tobacco epidemic. Alternatively, the influence of other factors may make the
Lopez model inadequate to describe the effects of tobacco use in Maori.
Exposure to tobacco commenced by the late
19th century among
Maori,33 although we have no data on how it
dispersed through the population. However there is some evidence to suggest that
smoking prevalence in Maori women has historically been more akin to Maori male
smoking prevalence, rather than non-Maori/non-Pacific female tobacco
use.33
Contemporary data showing the extremely high rates of
tobacco use and lung cancer among Maori females, and the persistence of these
patterns over time provide further evidence that the Lopez model is insufficient
to describe the tobacco epidemic in this
group.1,34–36
The legacy of colonisation on indigenous people (which has
included social marginalisation, cultural alienation, and the disproportionate
representation of the colonised population in lower socioeconomic groups) needs
to be considered as an explanation for the differing tobacco epidemic in Maori.
Current inequities of tobacco impact on Maori are likely to
be exacerbated in the future since ethnic inequalities in tobacco use widened
between 1981 and 1999, reflecting the failure of tobacco control efforts at that
time to engage sufficiently with Maori.30
Postulated reasons for this failure include the monocultural nature of
anti-smoking messages, financial barriers to smoking cessation, and the uneven
impact of tobacco control legislation during this period (for example, the 1990
smokefree environments legislation resulted in differential exposure to second
hand smoke in workplaces by ethnicity).30,37
On the other hand, recent tobacco-control initiatives (such
as the Quit Programme) have been increasingly designed for Maori and low
socioeconomic groups, and the recent Smokefree Environment amendments
prohibiting smoking in all workplaces and bars and cafes may help to reduce
smoking inequalities in the near future.
Where to from here? What can we expect in lung cancer
mortality inequalities in the future? Expected patterns of lung cancer mortality
and inequalities in the next 20–30 years are described in Table 4. These
are based on the epidemic patterns, the known time lag between population
tobacco use and changes in lung cancer mortality (20–30 years between
population changes in tobacco prevalence and lung cancer mortality changes, and
a 30–40 year lag between maximal tobacco prevalence and the peak of the
lung cancer epidemic) and available time trend data on tobacco prevalence by
ethnicity and SEP in New Zealand.4,30
This study suggests that lung cancer inequalities seen in
New Zealand by ethnic group and SEP are likely to persist, or increase over
time. However these are not inevitable, as mortality risk both at an individual
and a population level can be averted or diminished by tobacco cessation, even
at a late age.38 While New Zealand has
historically had a relatively comprehensive tobacco control programme (compared
to other countries),39 innovative interventions
(such as the Aukati Kai Paipa programme) that are focused on groups with the
highest need are now required to reduce inequalities in lung cancer mortality.
Summary Statistics New
Zealand Security Statement—The New Zealand Census Mortality Study
(NZCMS) is a study of the relationship between socioeconomic factors and
mortality in New Zealand, based on the integration of anonymised population
census data from Statistics New Zealand and mortality data from the New Zealand
Health Information Service. The project was approved by Statistics New Zealand
as a Data Laboratory project under the Microdata Access Protocols in 1997. The
datasets created by the integration process are covered by the Statistics Act
and can be used for statistical purposes only. Only approved researchers who
have signed Statistics New Zealand’s declaration of secrecy can access the
integrated data in the Data Laboratory. (A full security statement is in a
technical report at http://www.wnmeds.ac.nz/nzcms-info.htm)
For further information about confidentiality matters in regard to this study
please contact Statistics New Zealand.
Ethical
Statement: The programme of work of the New Zealand Census Mortality
Study has approval from the Wellington Ethics Committee (Reference number
98/7).
Author information:
Caroline Shaw, Research Fellow, Tony Blakely,
Associate Professor; Diana Sarfati, Senior Research Fellow; Jackie
Fawcett, Research Fellow, Department of Public Health, Wellington School of
Medicine and Health Sciences, University of Otago, Wellington South; Sarah
Hill,
Public Health Medicine Registrar, Wellington
Acknowledgements:
The NZCMS is conducted in collaboration with Statistics New Zealand and
within the confines of the Statistics Act
1975. The NZCMS was funded by the Health Research Council of New Zealand,
and is now funded by the Ministry of Health. Dr Shaw acknowledges salary support
from the Australasian Faculty of Public Health Medicine and the University of
Otago. In addition, we gratefully acknowledge comments on earlier drafts by
Darren Hunt, Ricci Harris, Martin Tobias, George Thomson, and Nick
Wilson.
Correspondence:
Associate Professor Tony Blakely, Department of
Public Health, Wellington School of Medicine and Health Sciences, University of
Otago, PO Box 7343, Wellington South. Fax: (04) 389 5319; email: tblakely@wnmeds.ac.nz
References:
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