The New Zealand Census Mortality Study (NZCMS) is a record linkage study of
census and mortality records. The study was initially funded by the Health Research
Council of New Zealand, and is now funded by the Ministry of Health as a joint
project between the University of Otago and the Ministry of Health. The NZCMS is conducted
in collaboration with Statistics New Zealand.
The most recent NZCMS is made up of five cohorts. The NZCMS has linked
mortality records for the three years following each census back to 1981. A follow up
period of three-years was selected, as the linkage of census data with mortality data is
dependent on residential stability. Limiting the follow up period also allows for
timely reporting on mortality inequalities.
The information in this WebTable allows policy and research communities to analyse
inequalities in standardised mortality rates and relative rates (rate ratios and rate
differences). Standardised mortality rates are calculated for males and females in the
1-74 year age group as well as age groups within this range. Rates be
analysed for all ethnic groups as well as specific ethnic groups (including Maori,
Pacific, Asian and Non-Maori/Non-Pacific/Non-Asian) and across a number of
exposure variables including various indicators of socio-economic position.
The NZCMS WebTable also permits analysis of specific causes of death.
The information is freely available and all tables and figures are downloadable.
NZCMS WebTable should be acknowledged as the source when WebTable
information is being quoted (refer to citation format below). Please contact the
School of Medicine and Health Sciences if information from this WebTable makes up
more than 10% of your publication.
We have attempted to report as many results as possible. Please note that a number of
results have wide confidence intervals, caution should be applied when using these.
Results have not been made available where there is insufficient data (i.e. too few
deaths).
The WebTable is also available on CD-ROM. Please contact the School of Medicine
if you prefer this method of access.
The following background information is provided to assist you in using the NZCMS
Web Table. It is advised you read this before accessing results.
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The New Zealand Census – Mortality Study is a study of the relationship between
social 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 data sets 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. For further information about confidentiality matters in regard
to this study, please contact Statistics New Zealand.
(The full security statement is available at
http://www.wnmeds.ac.nz/academic/dph/research/HIRP/nzcms/nzcmssnz.html).
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- Cause of Death
|
Cause of Death
|
ICD-9
|
ICD-10
|
|
All-Cause
|
All Codes
|
All Codes
|
|
Cardiovascular disease
|
410-414, 393-409, 415-459
|
I20-I25, I05-I15, I26-I99
|
|
IHD
|
410-414
|
I20-I25
|
|
Stroke
|
430-438
|
I60-I69
|
|
Cancer
|
140-209
|
C00-C97
|
|
Lung
|
162
|
C33-C34
|
|
Colorectal
|
153-154
|
C18-C21
|
|
Breast
|
174
|
C50
|
|
Prostate
|
185
|
C61
|
|
Non-Lung
|
140-161, 163-209
|
|
|
Stomach
|
151
|
|
|
Pancreas
|
157
|
|
|
Melanoma
|
172
|
|
|
Brain/Nervous System
|
191
|
|
|
Respiratory
|
470-478,
490-519
|
|
|
Chronic
Lung Disease
|
490-493,
495-496
|
|
|
COPD
|
490-492,
495-496
|
|
|
Asthma
|
493
|
|
|
Diabetes
|
250
|
E10-E14
|
|
Infectious Diseases
|
001-139, 320-323, 390-392, 460-466, 480-487, 590, 595, 614-616, 680-686, 711, 771
|
|
|
Unintentional injury
|
800-949
|
V01-X59
|
|
Road traffic crash
|
810-825
|
V01-V99
|
|
Other
|
800-809, 826-949
|
|
|
Suicide
|
950-959, 980-989
|
X60-X84
|
|
External Injuries
|
800-999
|
|
- Exposure Variables
- All Exposures
- All Exposures
The user may chose to examine overall mortality rates opposed to mortality across
a socio-economic or ethnicity variable.
- Measures of socio-economic position
- Household equivalent income
The revised Jensen index (Blakely 2002; Jensen 1988) has been used to equivalise
household incomes in this study. Incomes have also been adjusted for inflation
using the Consumer Price Index (base year 1996). Please refer to the
Decades of Disparity II publication
for details.
Three levels:
- Low Income (less than $26,109)
- Medium Income (between $26,109 and $43,016)
- High Income (over $43,106). (Reference group)
- Education
Highest personal education qualification obtained at time of Census.
Three levels:
- No Qualifications
- School Qualifications
- Post-School Qualifications. (Reference group)
Analyses restricted to those 25 years old and over.
- New Zealand Index of Deprivation
The New Zealand Index of Deprivation (a measure of neighbourhood deprivation)
has been assigned using the place of usual residence. The deprivation index
is provided for the most recent three cohorts only.
Five levels:
- Deprivation levels 1 and 2 (Reference group)
- Deprivation levels 3 and 4
- Deprivation levels 5 and 6
- Deprivation levels 7 and 8
- Deprivation levels 9 and 10.
- Labour Force Status
Labour force status at time of Census.
Three levels:
- Employed (Reference group)
- Unemployed (but seeking work)
- Non Labour Force (not employed and not seeking work).
Analyses restricted to those 25 years old and over.
- Occupational Class
Occupational class has been assigned to people employed at the time of the Census
using the New Zealand Standard Classifications of Occupation 1968 (NZSCO68) Elley-Irving.
Four levels:
- Occupational Classes 1 and 2 (Reference group)
- Occupational Class 3
- Occupational Class 4
- Occupational Classes 5 and 6.
Analyses restricted to those 25 years old and over.
- Car Access
Access to a car in the household.
Three levels:
- 0 cars available
- 1 car available
- 2 or more cars available. (Reference group)
- Marital Status
Marital Status at time of Census.
Three levels:
- Never Married
- Currently Married
(Reference group)
- Separated, Divorced, or Widowed.
- Measures of Ethnicity
The WebTable supports five alternative classifications of ethnicity but the preferred measure is Total Ethnicity.
The treatment of non-response to the Census ethnicity question differs from previous NZCMS analyses.
Where individuals have not specified their ethnic affiliation they have been excluded from the NZCMS ethnicity analyses.
Previously non-respondents were included in the European/Other group.
- Total Ethnicity
Total ethnicity is the new statistical standard for reporting ethnicity
(Statistics New Zealand 2005). The new standard rejects the notion of
prioritising one ethnicity over others for people with multiple identities
in favour of a ‘total response’ concept.
Four levels:
- Maori
- Pacific
- Asian
- Non-Maori non-Pacific non-Asian (also known as European/Other). (Reference group)
- Maori/Non-Maori
This classification uses the Total ethnicity standard (i.e. anyone who chose Maori as one
of their ethnic affiliations is classified as Maori, the remainder are Non-Maori).
Two levels:
- Maori
- Non-Maori. (Reference group)
- Pacific/Non-Pacific
This classification uses the Total ethnicity standard (i.e. anyone who chose Pacific as one
of their ethnic affiliations is classified as Pacific, the remainder are Non-Pacific).
Two levels:
- Pacific
- Non-Pacific. (Reference group)
- Asian/Non-Asian
This classification uses the Total ethnicity standard (i.e. anyone who chose Asian as one
of their ethnic affiliations is classified as Asian, the remainder are Non-Asian).
Two levels:
- Asian
- Non-Asian. (Reference group)
- Prioritised Ethnicity
For historical reasons, prioritised ethnicity is also available on the WebTable.
Using this method Maori has priority coding (i.e. anyone who chose Maori as one of
the ethnic groups to which they belong is classified as Maori), of the remainder,
anyone who chose any Pacific group is classified as Pacific, of the remainder anyone
who chose any Asian group is classified as Asian. The remainder are classified
as non-Maori non-Pacific non-Asian.
Four levels:
- Maori
- Pacific
- Asian
- Non-Maori non-Pacific non-Asian (also known as European/Other). (Reference group)
- Ethnic Groups
A single ethnic group can be examined (opposed to selecting ethnicity as an exposure
variable thus performing analysis across ethnic groups). Single ethnic groups are
defined using the new statistical standard of Total Ethnicity (Statistics New Zealand 2005).
The new standard rejects the notion of prioritising one ethnicity over others for people
with multiple identities in favour of a ‘total response’ concept.
The treatment of non-response to the Census ethnicity question differs from previous NZCMS analyses.
Where individuals have not specified their ethnic affiliation they have been excluded from the NZCMS ethnicity analyses.
Previously non-respondents were included in the European/Other group.
Five Groupings:
- All Ethnicities
- Total Maori
- Total Pacific
- Total Asian
- Non-Maori non-Pacific non-Asian (also known as European/Other).
- Age Groups
Standardised mortality rates are calculated (using the WHO World Population as the reference)
for males and females in the 1-74 year age group as well as age groups within this range.
Nine Groupings:
- 1-74 year olds
- 25-74 year olds
- 1-14 year olds
- 15-24 year olds
- 25-44 year olds
- 45-64 year olds
- 65-74 year olds
- 25-59 year olds
- 60-74 year olds.
Note that not all analyses are relevant for all age groups. For example, education, labour force status,
occupational class, and marital status analyses are not relevant for 1-14 year olds or 15-24 year olds.
- Sex
All analyses are performed separately for males and females. The exceptions being causes
of death prostate cancer and breast cancer that are relevant to males only and females only respectively.
- Cohorts
Five cohorts have been analysed: 1981-84, 1986-89, 1991-94, 1996-99 and 2001-04.
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Mortality rates reported relate to deaths at ages 1-74 only. Infant mortality
rates are not reported as the NZCMS consists of closed cohorts (i.e., no newborns
enter the study after census night). At the other end of the age spectrum, the
first four NZCMS cohorts did not include people aged 75 years and older on census night.
Previously people aged 74 on census night were followed up for mortality till age 77;
however in this update we cutoff ‘cleanly’ at the 75th birthday.
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We have endeavoured to report as many valid results as possible. Criteria have
been applied as follows:
Tables and graphs have been made available where there is sufficient valid data.
‘Sufficient’ has been defined as having a low number of cells in a table where the
standardised mortality rate has been derived from less than ten deaths. The exact
number of allowable cells with less than ten deaths is dependent on the analysis
variable selected and the related number of levels. The number of allowable cells
with a low death count is never more than four when results are reported for both
males and females. The symbol ‘.’ is used to signify an invalid result in a table,
while in the graphs bars are missing.
Results have been reported for both males and females where there is sufficient valid data.
Where only male or only female results are valid one sex has been reported.
There are a few instances where mortality rates for a particular level of analysis variable
have been omitted while remaining levels have been reported. This typically occurs when
the variable being analysed is total ethnicity or prioritised ethnicity and the level omitted is Asian.
Education, labour force status, occupational class and marital status results have only
been reported for those 25 years and over.
Breast cancer has only been reported for females. (The few cases of breast cancer for males
have been omitted from these analyses.) Similarly, prostate cancer has only been reported for males.
We have attempted to report as many results as possible. Please note that a number of results have
wide confidence intervals, caution should be applied when using these.
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The analyses shown have all been adjusted for linkage bias using the age and ethnicity
weighting (see NZCMS publications for full explanation).
All the data has been age standardised using the WHO World Population as the reference.
Results for 'All Ethnicities' combined have been age and ethnicity standardised.
Results by ethnicity have been age standardised only.
Standardised Mortality Rates (SR) have been calculated for each level of analysis variable.
Standardised Rate Ratios (SRR) have been calculated against the relevant reference level.
Standardised Rate Differences (SRD) have been calculated against the relevant reference level.
For each of SR, SRR or SRD 95% confidence intervals have been calculated.
Where an analysis variable other than ‘All Exposures’ has been selected the Rich Text Format (RTF)
files consist of three pages of tables and graphs, one page each for SR, SRR and SRD results.
Where ‘All Exposures’ has been selected as the analysis variable the RTF file is one page reporting SR only.
The RTF graphs can be selected and put into a presentation package (e.g. MS PowerPoint). If it is
necessary to increase the size of the image, we recommend keeping the aspect ratio constant to avoid
distortion of the image.
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Any queries, comments or suggested enhancements to these web tables can be
emailed to June Atkinson or
Tony Blakely, School of Medicine and Health Sciences, or
Martin Tobias, Ministry of Health or written to:
June Atkinson
Department of Public Health
School of Medicine & Health Sciences
University of Otago, Wellington
PO Box 7343
Wellington South
New Zealand
Tel 64 4 385 5541 (ext 6085)
Fax 64 4 389 5319
Email June.Atkinson@otago.ac.nz
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The following is a suggested format for citing our WebTable system:
Atkinson J., Bastiampillai N. New Zealand Census-Mortality Study WebTable. Department of Public Health,
School of Medicine and Health Sciences, University of Otago, Wellington.
http://www.otago.ac.nz/NZCMSWebTable. [Date Accessed]