Changing mortality patterns in East and West Germany and Poland. II: Short-term trends during transition and in the 1990s

Nolte, Ellen

doi:10.1136/jech.54.12.899

Cited by 81 publications

(63 citation statements)

References 27 publications

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“…Only from 1990 onwards -the cohorts in our analysis were already at least 53 years old -did institutional arrangements start to converge, although large differences remain, for example in the labour markets. In the light of the observed convergence in total mortality (Nolte, Shkolnikov, and McKee, 2000), we note that this convergence appears to be nearly perfect conditional on our measure of socio-economic status. A natural interpretation of this would be an income effect: Reunification brought about much higher real incomes for pensioners and 12 years were enough to wipe out any lagged effects.…”

Section: Life Expectancy At Age 65 By Epmentioning

confidence: 99%

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Differential mortality by lifetime earnings in Germany

Gaudecker¹,

Scholz²

2007

DemRes

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Section: Life Expectancy At Age 65 By Epmentioning

confidence: 99%

“…Our findings are consistent with the converging mortality experiences in both regions that have been documented by several authors (cf. for example Nolte et al (2000)). …”

Section: Life Expectancy At Age 65 By Epmentioning

confidence: 99%

Differential mortality by lifetime earnings in Germany

Gaudecker¹,

Scholz²

2007

DemRes

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“…53,54 Studies from Eastern Europe also suggested a rapid response to changes in lifestyle and diet. 55 Induction periods may be shorter when other causal factors are common. 56 In Beijing, blood pressure and male smoking levels Figure 2.…”

Section: Cholesterol Diabetes Obesity and Dietmentioning

confidence: 99%

Explaining the Increase in Coronary Heart Disease Mortality in Beijing Between 1984 and 1999

et al. 2004

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Background-Coronary heart disease (CHD) mortality is rising in many developing countries. We examined how much of the increase in CHD mortality in Beijing, China, between 1984 and 1999 could be attributed to changes in major cardiovascular risk factors and assessed the impact of medical and surgical treatments. Methods and Results-A validated, cell-based mortality model synthesized data on (1) patient numbers, (2) uptake of specific medical and surgical treatments, (3) treatment effectiveness, and (4) population trends in major cardiovascular risk factors (smoking, total cholesterol, blood pressure, obesity, and diabetes). Main data sources were the WHO MONICA and Sino-MONICA studies, the Chinese Multi-provincial Cohort Study, routine hospital statistics, and published meta-analyses. Age-adjusted CHD mortality rates increased by Ϸ50% in men and 27% in women (1608 more deaths in 1999 than expected by application of 1984 rates). Most of this increase (Ϸ77%, or 1397 additional deaths) was attributable to substantial rises in total cholesterol levels (more than 1 mmol/L), plus increases in diabetes and obesity. Blood pressure decreased slightly, whereas smoking prevalence increased in men but decreased substantially in women.In 1999, medical and surgical treatments in patients together prevented or postponed Ϸ642 deaths, mainly from initial treatments for acute myocardial infarction (Ϸ41%), hypertension (24%), angina (15%), secondary prevention (11%), and heart failure (10%). Multiway sensitivity analyses did not greatly influence the results. Conclusions-Much of the dramatic CHD mortality increases in Beijing can be explained by rises in total cholesterol, reflecting an increasingly "Western" diet. Without cardiological treatments, increases would have been even greater.

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“…Health differences exist between sexes, between social groups within countries, and between countries. The patterns of these health differences change as living conditions evolve (Hertzman and Siddiqi 2000;Marmot and Bobak 2000;Marmot and Feeney 1997;Tomatis 2001), as demonstrated by the sharp decline in life expectancy-as well as the widening gap of life expectancy between sexes-in Eastern Europe during the recent political transition (Marmot and Bobak 2000;Nolte et al 2000aNolte et al , 2000b. Thus, observing inequalities in health allows us to better understand how changes in society translate into changes in health.…”

mentioning

confidence: 99%

Inequalities in health: the value of sex-related indicators.

Benigni

2003

Environ Health Perspect

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My laboratory has previously shown that the sex differences in tumor incidence in Europe can be related to the female social condition and that the pattern of this relationship varies according to the different historical contexts. In this article, I have extended the study worldwide to all cancer registries, and I present the sex differences in life expectancy at birth. A close link between the health of the populations and socioeconomic and cultural factors was confirmed. The sex-related indicators had a distribution independent from the parent variables cancer incidence and life expectancy; thus, they carry complementary information and provide an additional, sensitive probe for monitoring the health of the populations.

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Changing mortality patterns in East and West Germany and Poland. II: Short-term trends during transition and in the 1990s

Abstract: Objectives-To examine trends in life expectancy at birth and age and cause specific patterns of mortality in the former German Democratic Republic (GDR) and Poland during political transition and throughout the 1990s in both parts of Germany and in Poland. Methods-Decomposition

Cited by 81 publications

References 27 publications

Differential mortality by lifetime earnings in Germany

Differential mortality by lifetime earnings in Germany

Explaining the Increase in Coronary Heart Disease Mortality in Beijing Between 1984 and 1999

Inequalities in health: the value of sex-related indicators.

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