Gender differences in health: Evidence from the Czech Republic

Hraba, Joseph; Lorenz, Frederick O.; Lee, Gang; Pechačová, Zdeňka

doi:10.1016/0277-9536(96)00037-8

Cited by 24 publications

(20 citation statements)

References 20 publications

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“…In addition, self-assessed financial situation was used as a proxy for monetary income due to widespread informal transfers, barter and underreporting of income. Such subjective measures of financial wellbeing have been used in similar research elsewhere in central and eastern Europe (Hraba et al, 1996;Bobak et al, 1998). It can be expected that utilization will be affected by age so the multivariate model was adjusted for age.…”

Section: Objectives and Methodsmentioning

confidence: 99%

Access to health care in a system transition: the case of Bulgaria

Balabanova,

McKee

2002

Health Planning & Management

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Section: Objectives and Methodsmentioning

confidence: 99%

Access to health care in a system transition: the case of Bulgaria

Balabanova,

McKee

2002

Health Planning & Management

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“…The evidence, however, is mixed for Central/Eastern Europe. Two studies report associations between employment (Cockerham, 1999) or psychosocial work characteristics (Pikhart et al, 2001) and self-reported health, while no effects of unemployment, 'overemployment' and good work environment (Hraba et al, 1996) or of job satisfaction (Hraba et al, 1998) were found in two other studies. Also, protective effects of marriage reported in the West (Ross et al, 1990) have not been confirmed for 'postcommunist' societies.…”

Section: Social Determinants Of Health In the West And The Eastmentioning

confidence: 95%

Self-Reported Health in Poland and the United States: A Comparative Analysis of Demographic, Family and Socioeconomic Influences

Szaflarski

Cubbins

2004

Health (London)

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This study compares the social determinants of individual health between the United States, a capitalist society, and Poland, a 'post-communist' society. The effects of demographic factors, family characteristics and socioeconomic status on self-reported health are estimated with OLS regression using data from the 1994 American and Polish General Social Surveys. The results show lower self-reported health and more rapid declines in health for people over 60 in Poland than in the United States. Also, in Poland, women report worse health than do men while the opposite is found for the United States. The relationships between education, income and health were stronger in the United States than in Poland. Age, gender and SES may operate differently in the two countries because of a gap in social development (e.g. varying living standards and styles, health care systems and cultural attitudes) between the West and the former Eastern Europe.

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“…The inter-relationship between selfrated health and indicators of deprivation may differ according to gender and socio-economic status, both within and between countries (Bartley, Sacker, Firth, & Fitzpatrick, 1999;Matthews, Manor, & Power, 1999;Hraba, Lorenz, Lee, & Pechacova, 1996). Carlson (1998) utilized data from the world values survey in 1990 to examine patterns of self-rated health among respondents aged 35-64 across 25 European countries.…”

Section: Introductionmentioning

confidence: 99%

Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN

Kelleher

Friel

Gabhainn

et al. 2003

Social Science & Medicine

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Though Ireland continues to have a poor health profile compared with other European Union countries, previous research on social variations has been limited. For the first time in the Republic of Ireland, the influence on self-rated health of various socio-demographic indicators was assessed in a multi-variate logistic regression model, separately for men and women. Data were from the first National Survey of Lifestyles, Attitudes and Nutrition, SLAN, conducted by post in a multi-stage, cluster random sample across 26 counties. There were 6539 respondents (45.4% males). Mean selfrated health differed significantly according to age, marital status, tenure, educational status, social class, household size and eligibility for general medical services (GMS), but not according to gender or rurality. There were also differences if residing in a district with low level of affluence, or according to social cluster groupings. There were numerous significant correlations between the nine socio-demographic measures, but the most consistent pattern was between GMS eligibility and the various indicators, for both men and women. In the case of men, whether social class was included in the multi-variate model or not, education status remained predictive in the final model, (OR 2.36 CI 1.35-4.12) as did smoking status (OR 2.11 CI 1.47-3.02). Odds ratio for GMS eligibility was 3.33 (CI 2.61-4.26) attenuated to 1.70 (CI 1.12-2.56) in the final model. For women the pattern was somewhat different. Only GMS status (OR 2.64 CI 1.74-3.99) and level of education (2.25 CI 1.19-4.24) were predictive in the final model. A multi-level analysis showed that area level of affluence was not significantly predictive of self-rated health when individual level factors were taken into account. r

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Gender differences in health: Evidence from the Czech Republic

Cited by 24 publications

References 20 publications

Access to health care in a system transition: the case of Bulgaria

Access to health care in a system transition: the case of Bulgaria

Self-Reported Health in Poland and the United States: A Comparative Analysis of Demographic, Family and Socioeconomic Influences

Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN

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