Research
The project compares 8 former Soviet countries with considerable
variations in life-expectancy, culture, religion and lifestyle.
It includes some more European, some more Asiatic countries and
Christian as well as Muslim populations. While the evidence of
poor and deteriorating health in the population of the Russian
Federation with 250 million people is incontrovertible, aggregate
evidence cannot answer the question: Why are some former Soviet
citizens healthier than others?
Table 1 indicates that on average middle-aged Russian and Ukrainian
males are almost twice as likely to die than in Armenia or Georgia.
Furthermore, whatever the national mean, there are wide variations
in longevity in every country.
The project would enable us to address the issue: why are there
variations of this kind between countries and within countries
between regions? What factors have lead health in some countries
to improve since independence, whilst it has declined dramatically
in others?
TABLE 1: CHANGES IN MALE MORTALITY, AGE 40-59 IN POST-COMMUNIST
COUNTRIES (countries in project proposal) deaths per 1000 relevant
population
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1990
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1996
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Change
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Georgia
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9.86
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7.47
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-2.39*
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|
Armenia
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9.38
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8.48
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-0.90
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Moldova
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12.76
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14.72
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+1.96
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|
Belarus
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13.02
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16.49
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+3.47
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|
Kyrgystan
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12.32
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16.12
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+3.80
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Russia
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14.35
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19.69
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+5.34
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|
Ukraine
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13.10
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19.11
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+6.01
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Kazakhstan
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13.02
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19.05
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+6.03
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*not fully comparable
Source: UNICEF, Regional Monitoring Report No. 5 (Florence: International
Children Development Centre, 1998) Table 4.6. Data for Kazakhstan
and Kyrgyzstan for 1995.
The project combines a number of different data sources for each
country. In the first stage of the project, aggregate statistics
will be collected at a national and regional level in order to
calculate standardised mortality, infant mortality and other trends
over time. In the first stage of the project, surveys will be
conducted using standardised formats of 2000 individuals in each
country, but 4000 in Russia and 2500 in Ukraine to reflect the
size and diversity of those countries. The survey will enable
the collection of information about living conditions (housing,
health, education, income), about alcohol and tobacco use, about
psycho-social attitudes including locus of control and optimism/
pessimism, use of health services both formally and informally,
social capital and religion along with a range of lifestyle variables
which would enable the identification and differentiation of lifestyle
groups.
These surveys would be produced in the first instance as national
level reports which can be disseminated in the relevant countries
in the relevant languages.These surveys would later be combined
in Stage 3 in to a multi-national data file from which it would
be possible to look at differences between countries in a comparative
way and from which it would be possible to build a multi-level
causal model to establish which factors are most important for
health outcomes.
In Stage 2 of the project, a series of intensive regional studies
would be carried out. These studies would take place in only three
of the selected countries - the largest three exhibiting some
of the worst health problems: Russia, Ukraine and Kazakhstan.
Three regions would be chosen in each country based upon the analysis
of the aggregate health statistics carried out in Stage 1: a region
with good health, one with poor health and one with average health.
In each of these sub-regions there would be in-depth interviews
with 50 respondents about their health and lifestyle behaviour.
Medical history and health checks would be provided for these
respondents. There would also be 3 focus groups carried out in
each region with targeted population groups such as men aged 40-59,
women responsible for family health care and so on. The focus
group profiles would be identified in the course of the project.
In these regions there would also be expert interviews with health
professionals at different levels of the health system including
practitioners at the interface with the public. The results of
the surveys and the statistical data would be discussed with these
local level experts in order to take into account their responses.
These regional studies would incorporate local information about
the nature of the labour market, pollution levels and other environmental
factor that could contribute to health outcomes. In addition,
during Stage 2, there would be a special study of the Chernobyl
region, replicating a study undertaken there in 1990 by the Belarusian
partner. The Chernobyl study spans three of the countries under
investigation: Ukraine, Belarus and Russia.
The data collection during Stages 1 and 2 of the project would
be mainly the responsibility of the NIS partners but under the
leadership and with central co-ordination from Partner 1 in order
to ensure quality, comparability and consistency.
In Stage 3 of the project the data from the regional studies
as well as the statistical data would be brought together in multi-national
data sets enabling comparisons between countries as well as within
countries. At this stage, a series of reports would be produced
with the help of the three Western European partners which would
address in a comparative and comprehensive way the main objectives
of the study: Hence, there would be one report on tobacco and
alcohol consumption, one about the consequences of socio-economic
changes (employment, unemployment, income differences), one report
concentrating upon social capital and use of the health services,
one report about psycho-social factors affecting health and one
report about the consequences of culture and lifestyle for health
in different settings. There would be a report by the co-ordinator
using multi-level causal modelling in order to indicate which
of the factors identified might be the most important in which
context. The final outcome of the research programme will be eight
national reports and a final comparative report. The results of
the project would be presented at both national and international.
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