Inequalities in Healthy Life Expectancy in Eastern Europe

Minagawa, Yuka

doi:10.1111/j.1728-4457.2013.00632.x

Cited by 23 publications

(25 citation statements)

References 72 publications

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“…Differences in mortality are paralleled by differences in disability-adjusted life expectancy [DALE, indicator (7)] and the proportion of adult years spent in good health [indicator (8)]. Minagawa (2013), the source of indicator (8), points out that the residents of the countries of East Central Europe (represented here by Bulgaria and Romania) are in better health than those in the former Soviet Union (Georgia and Russia), while worser than those in the Western Europe (France, in this study).…”

Section: Contextual Factorsmentioning

confidence: 99%

Parental disability, parent care, and offspring mental health outcomes

2015

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Decades of research supports a widely held view that providing parent care is stressful, and that these stresses are associated with adverse mental health outcomes. However, some recent studies suggest an additional possibility, namely that "noncaregiver stress"-a consequence of having a parent with major care needs, but not being an active caregiver-may be a serious problem as well. This finding emerges in data which permit separate controls for parental for care and offspring of parent care. We extend these results using Generations and Gender Programme data from five countries-Bulgaria, France, Georgia, Romania, and Russia-for which the necessary variables can be comparably measured. Our outcome variable is a depression score based on a 7-item scale. In country-specific regressions, we find two instances of statistically significant associations of depression with the regular provision of personal care to a parent with care needs, i.e., the usual "caregiver stress" result. However, we also find two instances of statistically significant differences in respondents' depressive symptoms that are associated with having a parent with care needs, i.e., instances of "noncaregiver stress." We find limited evidence of gender-specific responses to both forms of stress. Our evidence supports both the typical caregiver stress response and the less-studied noncaregiver stress response, which suggests the need for additional research.

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Section: Contextual Factorsmentioning

confidence: 99%

Parental disability, parent care, and offspring mental health outcomes

2015

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“…The life tables were estimated up to age 79, the highest age in the EU-SILC data. Mäki et al (2013) applied a similar approach with EU-SILC data for the age interval 30-79; Minagawa (2013) used the interval 20-74 years of age. The restriction to the exact age of 80 is needed for two reasons.…”

Section: Methodsmentioning

confidence: 99%

“…In addition to gender differences in healthy and unhealthy length of life (Nusselder et al 2010;Van Oyen et al 2013;Crimmins, Kim, and Solé-Auró 2010;Luy and Minagawa 2014), particular attention is attributed to the 'male-female survival paradox': the observation that women live longer but their life without disabilities is shorter (Oksuzyan et al 2009). Another branch of research is directed towards country-level comparisons: Salomon et al (2012) report findings on 187 countries; Majer et al (2011), Jagger et al (2008, 2011), and Minagawa (2013 consider diverse groups of European countries. The use of micro-level survey data has yielded a significant advancement in explaining the effect of marital status on mortality including the effect of morbidity (Robards et al 2012 andLillard andPanis 1996 include a review of related research).…”

Section: Background and Objectivesmentioning

confidence: 99%

Differences by union status in health and mortality at older ages: Results for 16 European countries

Philipov¹,

Scherbov²

2016

DemRes

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BACKGROUNDMarried people live longer than the unmarried; micro-level research indicates that they enjoy better health. Macro-level research does not combine mortality, marital status, and health. OBJECTIVEWe provide international comparisons of healthy and unhealthy life years at ages 50 and higher combining mortality, marital status, and health. METHODSWe examine differences in healthy and unhealthy life years for married and cohabiting (i.e., partnered) and for single men and women and break these down into mortality and disability. EU-SILC and Eurostat data for 2011 are used for 16 European countries. RESULTS AND CONCLUSIONSOur analyses show that partnered people, both men and women, are healthier than singles. However, these differences in unhealthy life are varied. For the length of healthy life, the effect of disability dominates the effect of mortality for women strongly and for men weakly, while the effect of mortality is more important for the length of unhealthy life of women. Populations in Eastern Europe are more disadvantaged than those in Western Europe with respect to length of life and of healthy life; these differences are larger for singles and lower for the partnered. CONTRIBUTIONWe extend previous macro-level studies on healthy and unhealthy life at older ages by introducing the additional dimension of partner status. We provide rich information in

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“…Much research in the field of demography confirms that countries which used to have the communist political system, have distinct demographic characteristics (Billingsley, 2010;Mesle, Vallin, 2002;Minagawa, 2013;Sobotka, 2003). Different economic systems, different levels of personal and political freedoms, isolation and many other factors, all contributed to this distinctiveness that many demographic and socioeconomic indicators reflect.…”

Section: Introductionmentioning

confidence: 99%

East-west demographic divide in the EU: A regional overview

Galjak

2018

STANOVNISHTVO

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The goal was to examine demographic differences between former communist regions and other regions of the EU. Besides providing a regional overview of EU's demographic differences, we question whether the subnational approach offers any new insights into the East-West divide. This cross-sectional study was conducted on 1,155 EU's NUTS3 regions from 2014. These regions are grouped in two groups: regions that were part of a communist country, and other regions. Mortality, fertility and age structure indicators were tested between the two groups of regions. GDP/c was used to control for differences in economic development by segmenting the regions into tree brackets: low, medium, and high. The differences were then tested for each indicator. Regional variation within countries for each indicator was also assessed. The gaps exist at regional level and are the widest with mortality and fertility schedule, regardless of GDP/c. Former communist regions on average tend to be slightly younger. Analysis of regional variation showed that subnational approach was warranted when studying East-West demographic disparities, especially when it comes to fertility schedule.

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Inequalities in Healthy Life Expectancy in Eastern Europe

Cited by 23 publications

References 72 publications

Parental disability, parent care, and offspring mental health outcomes

Parental disability, parent care, and offspring mental health outcomes

Differences by union status in health and mortality at older ages: Results for 16 European countries

East-west demographic divide in the EU: A regional overview

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