Social gradient in life expectancy and health expectancy in Denmark

Summary Objectives: Health status of a population can be evaluated by health expectancy expressed as average lifetime in various states of health. The purpose of the study was to compare health expectancy in population groups at high, medium and low educational levels.Methods: Health interview data were combined with life table figures using Sullivans method.Results: Life expectancy was 4.3 years longer for 30-year-old men with a high educational level than for those with a low level. At age 30, the proportion of expected lifetime in self-rated good health was 67.7%, 76.1% and 82.3% for men with a low, medium and high educational level, respectively. Among women, life expectancy differed by 2.7 years between low and high educational level, and the proportion of expected lifetime in self-rated good health was 62.5% at the low and 80.5% at the high educational level.Conclusions: Educational level and life expectancy are clearly related. The social gradient in terms of health expectancy is even greater than that in terms of life expectancy.     

Impact of smoking on the social gradient in health expectancy in Denmark

STUDY OBJECTIVE: Health expectancy is arrived at by dividing life expectancy into average lifetime in different states of health. The purpose of the study was to estimate health expectancy among never smokers and smokers in groups at high, medium, and low educational levels in Denmark. DESIGN: Life tables for never smokers and smokers with a high, medium, and low educational level were constructed on the basis of Statistics Denmark registers and combined with data from the Danish Health Interview Survey 2000. Health expectancy was calculated by Sullivan's method. MAIN RESULTS: Life expectancy at age 30 differs on average by 8.5 years between never smokers and heavy smokers. Expected lifetime in self rated good health was 39.4 years for a never smoking man corresponding to 82.0% of the rest of his life. For male lifelong heavy smokers these figures were reduced to 27.3 years and 69.2%. The proportion of expected lifetime in self rated good health was 89.5% and 71.3% among male never smokers and lifelong heavy smokers with a high educational level, respectively; and the proportion among male never smokers and heavy smokers with a low educational level was 73.4% and 63.6%, respectively. Similar results were seen as regards expected lifetime without longstanding illness. For women the social gradient in health expectancy was intensified among smokers. CONCLUSIONS: Within each educational group smoking reduces expected lifetime in a healthy state. The social gradient in health expectancy cannot be explained by a reverse social gradient in smoking prevalence.     

Increasing social inequality in life expectancy in Denmark

Background: The purpose of the study was to determine trendsin social inequality in mortality and life expectancy in Denmark.Methods: The study was based on register data on educationallevel and mortality during the period 1981–2005 and comprisedall deaths among Danes aged 30–60. Sex- and age-specificdeath rates for each of three levels of education were calculatedand age-standardized to allow comparisons over time and betweengroups. As data obtained since 1996 included ages up to 74,partial life expectancy (i.e. expected lifetime of 30-year-oldsbefore the age of 75) was calculated for the period 1996–2005.Results: Between 1981 and 2005, the difference in death ratesbetween people aged 30–60 with low and high educationallevel increased by two-thirds for men and was doubled for women.During the period 1996–2005, the gap in partial life expectancyfrom age 30 to 75 between people with low and high educationallevel increased by 0.3 years. Conclusion: During the past 25years, the social gap in mortality has widened in Denmark. Inparticular, women with a low educational level have been leftbehind.     

Health expectancy in Denmark, 1987-2000

BACKGROUND: While life expectancy quantifies average length of life, health expectancy represents the average lifetime in different health states and offers the possibility to evaluate quality of life with respect to health. The purpose of the study was to estimate changes in health expectancy in Denmark from 1987 to 2000 and to assess theories about the relation between increased total lifetime and lifetime in various health states. METHODS: Data on health status derived from the Danish Health Interview Surveys carried out in 1987, 1991, 1994 and 2000 were combined with life-table data. Expected lifetime in selfrated good health, life expectancy without longstanding illness and disabilityfree life expectancy were estimated by Sullivan's method. RESULTS: In 1987, the life expectancy of a 65-year-old man was 14.1 years, 8.9 years of which were expected to be disabilityfree. In 2000, life expectancy had increased to 15.0 years, 11.3 years of which were disabilityfree. Thus, life expectancy had increased by 0.9 years, whereas disabilityfree life expectancy had increased by 2.4 years. Among 65-year-old women, life expectancy had increased by 0.2 years and disabilityfree life expectancy by 1.1 years. Expected lifetime in selfrated good health had also improved, but the trend in life expectancy without longstanding illness went in the opposite direction, and expected lifetime with longstanding illness had increased. CONCLUSION: The recent rise in life expectancy in Denmark after many years of stagnation appears to be accompanied by generally improved health status among the elderly, but health expectancy trends depend on the health indicator chosen. KEY POINTS: Health expectancy expresses average lifetime in various states of health. The study examines changes in expected lifetime in selfrated good health, lifetime without longstanding illness and lifetime without longterm disability. Among 65-year-olds the percentage of disabilityfree life expectancy increased from 63.4% to 74.9% for men and from 55.6% to 61.0% for women between 1987 and 2000. Health status among elderly Danes has apparently improved, but secular trends in health expectancy depend on the choice of health indicator.     

Social differences in the burden of long-standing illness in Denmark

Summary. Objectives To estimate the impact of diseases on social differences in life expectancy and expected lifetime with illness among Danes in 1995–99. Methods Expected lifetime with and without long-standing illness were calculated for groups with low, medium and high educational levels. Estimates based on observed rates of mortality and prevalence of illness were compared with those based on rates from which a specific disease had been eliminated. Results Partial life expectancy (age 30–75) would increase by almost 1.5 years if cancer were eliminated. Expected lifetime without long-standing illness would increase by approximately 1 year. Elimination of cardiovascular diseases would increase partial life expectancy, mainly among men with a low educational level. If diseases of the musculoskeletal system were eliminated the benefit would be greatest for persons with a low educational level. Conclusions The gain in life expectancy to be expected by eliminating certain diseases decreased with educational level. Elimination of cancer would extend lifetime both with and without illness for all educational levels. Submitted: 27 June 2005; Accepted: 7 March 2006     

Social variation in self-rated health in Estonia: a cross-sectional study

Over the past 40 years Estonia has experienced similar developments in mortality to other former Soviet countries. The stagnation in overall mortality has been caused mainly by increasing adult mortality. However, less is known about the social variation in health. This study examines differences in self-rated health by eight main dimensions of the social structure on the basis of the Estonian Health Interview Survey, carried out in 1996/1997. A multistage random sample (n = 4711) of the Estonian population aged 15-79 was interviewed; the response rate was 78.3%. This study includes those respondents aged 25-79 (n = 4011) with analyses being performed separately for men and women. The study revealed that a low educational level, Russian nationality, low personal income and for men only, rural residence were the most influential factors underlying poor health. Education had the biggest independent effect on health ratings: for women with less than an upper secondary education the odds of having poor health were almost fourfold (OR = 3.88) when compared to those with a university education, and for men these odds were almost two and a half times (OR = 2.32). Material resources, in this study measured by personal income, were important factors in explaining some of the educational and ethnic differences (especially for Russian women) in poor self-rated health. Overall, we found no differences between men and women in their health ratings. On the contrary, when we controlled for physical health status, emotional distress and locus of control women reported better health than men. Health selection contributed to, but did not explain the differences by structural dimension. This study also showed a strong association of poor self-rated health with three correlates-physical health status, emotional distress and locus of control, although the influence of these correlates on poor health ratings was not seen equally in the different structural dimensions.     

Area deprivation and trends in inequalities in self-rated health in Spain, 1987--2001

AIMS: This study examined the impact that individual social position and municipal area deprivation levels had on trends in inequalities in self-rated health in Spain, between 1987 and 2001. METHODS: The study was based on cross-sectional data of the National Health Surveys of Spain for the years 1987, 1993, 1995, 1997, and 2001 (n=84,567). The indicators used were educational level and occupational class, and deprivation level as the indicator of municipal areas. Multilevel logistic regression models were made, with individuals nested into municipal areas. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated. To evaluate trends, the relative index of inequality was calculated. RESULTS: At the individual level, the likelihood of less-than-good health between those with no formal education as compared to those with graduate-level education increased from OR=2.66 (95% CI: 2.06-3.38) in 1987 to OR=3.62 (95% CI: 2.95-4.63) in 2001 among women. The values for men were OR=2.27 (95% CI: 1.89-2.72) and OR=2.94 (95% CI: 2.36-3.68) respectively. Living in areas with the highest deprivation levels as compared to the lowest systematically increased the likelihood of less-than-good health. The likelihood of reporting less-than-good health among women with no formal education as compared to women with graduate-level education in municipal areas with the highest deprivation levels increased from OR=3.61 (95% CI: 2.39-5.45) in 1987 to 4.85 (95% CI: 3.06-7.69) in 2001. Among men, the corresponding magnitudes were OR=2.07 (95% CI: 1.39-3.08) and OR=4.16 (95% CI: 2.52-6.89). CONCLUSIONS: Inequalities in self-rated health increased in Spain in this period. These inequalities may be explained by the social conditions existing throughout the period of reference, and the pattern varies according to gender, municipal area deprivation levels, and the individual indicator of social position used.     

Socio-economic influences on self-rated health in Russian men and women--a life course approach

Socio-economic differentials in health in Russia are not well understood and the life course approach has been relatively neglected. This paper examines the influence of socio-economic risk factors over the life course on the self-rated health of older Russian men and women. A random sample (response rate 61%) of the general population of the Russian Federation in 2002 included 1004 men and 1930 women aged 50 years and over in a cross-sectional study. They provided information concerning their childhood circumstances, including going to bed hungry; education; current social conditions, including per capita household income; health behaviours and self-rated health. There was considerable tracking of adverse social conditions across the life course with men and women who reported hunger in childhood having lower educational achievements, and current household income was strongly influenced by educational attainment. The effect of these socio-economic risk factors on health accumulated with an odds ratio of poor health of 1.87 [1.07-3.28] for men with one risk factor, 3.64 [2.13-6.22] for two risk factors and 4.51 [2.57-7.91] for all three compared to men with no risk factors. For women, the odds ratios were 1.44 [1.05-2.01], 2.88 [2.10-3.93] and 4.27 [3.03-6.00] for one, two and three risk factors, respectively. Current income was the strongest individual predictor for men, and education for women. Adjustment for health behaviours reduced the odds ratios only marginally. The results suggest that self-rated health in older Russians reflects social exposures accumulated over the life course, with the differentials observed only partially explained by current social conditions. Health behaviours were not involved in mediating social differences in self-rated health. Our results indicate that a life course approach may contribute to the understanding of health in Russia.     

Gender differences in risk factors for attempted suicide among young adults: findings from the Third National Health and Nutrition Examination Survey

PURPOSE: To identify the significant factors associated with attempted suicide among men and women, and determine whether socioeconomic status (SES) and social support indictors, health risk factors, and lifetime history of medical and psychiatric illnesses can explain gender differences in attempted suicide. METHODS: We used data from 3357 men and 4004 women aged 17 to 39 years, who completed a mental disorder diagnostic interview as a part of the Third National Health and Nutrition Examination Survey, 1988-1994. Adjusted odds ratios (ORs) were calculated for the association between risk factors and attempted suicide. RESULTS: The prevalence of lifetime attempted suicides was 7.58% (SE, 0.66) in women and 3.69% (SE, 0.49) in men. In men, low income and smoking were associated with attempted suicide, while attempted suicide in women was associated with poor self-evaluated health, low educational attainment, and drug use. A history of medical and psychiatric illnesses was associated with attempted suicide in both genders, for cancer/pulmonary disease, OR=2.89 (95% CI, 1.25-6.67) in men and 1.94 (1.09-3.45) in women; for major depressive disorder, OR=9.86 (5.08-19.14) in men and 5.00 (3.19-7.83) in women. The significant gender difference of attempted suicide prevalence remained after being adjusted for risk factors selected. CONCLUSION: There were significant gender differences in the risk factors for attempted suicide among young adults, and the gender difference in the prevalence of lifetime attempted suicides could not be explained by differential exposure to risk factors selected.     

Socioeconomic conditions, lifestyle factors, and self-rated health among men and women in Sweden

BACKGROUND: Socioeconomic conditions and lifestyle factors have been found to be related to self-rated health, which is an established predictor of morbidity and mortality. Few studies, however, have investigated the independent effect of material and psychosocial conditions as well as lifestyle factors on self-rated health. METHODS: The association between socioeconomic conditions, lifestyle factors, and self-rated health was investigated using a postal survey questionnaire sent to a random population sample of men and women aged 18-79 years during March-May 2000. The overall response rate was 65%. The area investigated covers 58 municipalities in the central part of Sweden. Multivariate odds ratios for poor self-rated health were calculated for a range of variables. A total of 36 048 subjects with full data were included in the analysis. Similar analyses of the influence of working conditions were conducted among those employed aged 18-64 years (17 820 subjects). RESULTS: The overall prevalence of poor self-rated health was 7% among men and 9% among women. Poor self-rated health was most common among persons who had been belittled, who had experienced economic hardship, who lacked social support, or who had retired early. A low educational level was independently associated with poor self-rated health among men, but not among women. Physically inactive as well as underweight and obese subjects were more likely to have poor self-rated health than other subjects. Working conditions associated with poor self-rated health were dissatisfaction with work, low job control and worry about losing one's job. CONCLUSION: While a cross-sectional study does not allow definite conclusions as to which factors are determinants and which are consequences of poor self-rated, the present findings support the notion that both psychosocial and material conditions as well as lifestyle factors are independently related with poor self-rated health.     

Socioeconomic inequalities in preventive services among the elderly: results from medical checkup, cancer check, and BP check]

OBJECTIVES: Due to the assumptions of homogeneity as well as challenges in the socioeconomic position of the elderly, they have been relatively neglected in studies of health inequalities. Therefore, this study was conducted to investigate the social inequalities in preventive services among elderly men and women. METHODS: Data were obtained from a nationally representative sample of 342 men and 525 women aged 65 and over collected during the 2001 National Health and Nutrition Examination Survey. Age adjusted proportions and logistic regression were used to identify the social patterning of preventive services among elderly Koreans using various social position indicators. RESULTS: The findings of this study generally supported the presence of social gradients in preventive services among the Korean elderly. The likelihood of using the service becomes progressively higher with social position. Educational level, income, and self-rated living status were significantly associated with increased medical checkups and cancer checks. In addition, logistic regression detected educational inequalities only among older women receiving BP checks. After being stratified based on health status and chronic disease status, social disparities still existed when educational level and self-rated living status were considered. Among unhealthy individuals, place of residence was observed as a barrier to medical checkups. CONCLUSIONS: This study demonstrated strong and consistent associations between socioeconomic position and preventive services among the elderly in Korea. The results indicate that public health strategies should be developed to reduce the barriers to preventive services encountered by the elderly.     

Self-rated life expectancy and lifetime socio-economic position: cross-sectional analysis of the British household panel survey

BACKGROUND: The association between mortality risk and socio-economic position (SEP) across the lifecourse is established. This study investigates whether people's own ratings of their life expectancy are also associated with lifetime SEP. Health behaviour messages, which often emphasize the long-term benefits of behavioural change, may be received differently depending on people's perceptions of their life chances. METHODS: Cross-sectional analysis of 4780 adults aged 25-64 interviewed in the British Household Panel Survey in 2001. RESULTS: Just under a quarter of respondents did not think it likely they would live to 75 or older. People in lower SEPs were more likely to be pessimistic about their life expectancy. This applied across a number of socio-economic measures (father's social class, educational achievement, own social class, and household income). Eight socio-economic lifecourse pathways were compared. In comparison to those following the most advantaged pathway, those experiencing sustained socio-economic disadvantage were most likely to be pessimistic about their longevity, but those experiencing sustained upward mobility did not differ. Comparisons with measures of self-rated general health and limiting illness suggest that self-rated life expectancy is at least partially independent of current health status. CONCLUSIONS: This study shows that people's own perceptions of their life expectancy are associated with lifetime SEP. Self-rated life expectancy, in part, appears to reflect something over and above current health status and smoking behaviour. Given its ease of collection, it would be informative to include self-rated life expectancy in future studies.     

Investigating socio-economic explanations for gender and ethnic inequalities in health

This paper examines inequalities in the self-reported health of men and women from white and minority ethnic groups in the UK using representative data from the Health Survey for England, 1993-1996. The results show substantially poorer health among all minority ethnic groups compared to whites of working-age. The absence of gender inequality in health among white adults contrasts with higher morbidity for many minority ethnic women compared to men in the same ethnic group. The analysis addresses whether socio-economic inequality is a potential explanation for this pattern of health inequality using measures of educational level, employment status, occupational social class and material deprivation. There are marked socio-economic differences according to gender and ethnic group: high morbidity is concentrated among adults who are most socio-economically disadvantaged, notably Pakistanis and Bangladeshis. Logistic regression analyses show that socio-economic inequality can account for a sizeable proportion of the health disadvantage experienced by minority ethnic men and women, but gender inequality in minority ethnic health remains after adjusting for socio-economic characteristics.     

Trends in social class inequalities in health status, health-related behaviors, and health services utilization in a Southern European urban area (1983-1994)

BACKGROUND: The objective of this study was to describe the evolution of social class inequalities in Barcelona (Spain) residents in perceived health status, health-related behaviors, and utilization of health services between 1983 and 1994. METHODS: The information was obtained from the Health Interview Surveys conducted in 1983, 1986, 1992, and 1994 in Barcelona. In this study we included noninstitutionalized people ages >14 years. Social class was obtained from the Spanish adaptation of the British Registrar General classification. We studied health status, health-related behaviors, and health services utilization variables. Age-adjusted percentages and the relative index of inequality were obtained. RESULTS: Of the health status variables, having been confined to bed and acute restriction of activity in the 2 weeks prior to the interview showed an increase in inequalities by social class in 1994. The pattern of chronic conditions by social class in men did not change between 1983 and 1994. Women had a higher prevalence of chronic conditions and the inequalities among social classes had increased. In men there were no social class inequalities in smoking in 1983. In 1992 and 1994 smoking was more prevalent in men of social classes IV and V. In women, smoking was more prevalent in social classes I and II in 1983 than in social classes IV and V, something that had changed by 1994. Lack of usual physical activity in men was always more prevalent in social classes I and II, and this difference increased since more people of advantaged classes moved into inactivity. Health services utilization showed no inequalities in the years studied. CONCLUSION: The changing pattern according to social class of smoking and physical activity practice needs to be taken into account by policy-makers and public health workers.     

Social differences in health: life-cycle effects between ages 23 and 33 in the 1958 British birth cohort.

OBJECTIVES: The purpose of this study was to determine whether social differences in health persist or widen during early adulthood. METHODS: A longitudinal follow-up of the 1958 British birth cohort was investigated, using social class at birth and six health measures at ages 23 and 33. A slope of inequality was estimated to represent social differences in health. RESULTS: Social gradients in health were evident by age 23: the prevalence of poor health increased with decreasing social position. This was observed for several but not all health indicators. Social gradients persisted to age 33. The slope of inequality was greatest for malaise (odds ratio [OR] = 3.37 for men, 3.21 for women) and obesity (OR = 4.80 for men and 2.84 for women), both at age 23, and for self-rated health in women at age 23 (OR = 2.94) and age 33 (OR = 3.22). Inequality increased significantly between ages 23 and 33 for limiting illness in men, and lessened, although not significantly, for malaise, overweight, and obesity; social gradients remained constant for self-rated health, respiratory symptoms, and asthma or wheezing. CONCLUSIONS: Social gradients in health evident in this sample by age 23 persisted to age 33. Inequalities did not appear to widen consistently, but variable findings for several health measures suggest that inequalities reproduce through different pathways.     

Educational inequalities in health in European welfare states: A social expenditure approach

A puzzle in comparative health inequality research is the finding that egalitarian welfare states do not necessarily demonstrate narrow health inequalities. This paper interrogates into this puzzle by moving beyond welfare regimes to examine how welfare spending affect inequalities in self-rated across Europe. We operationalise welfare spending in four different ways and compare both absolute and relative health inequalities, as well as the level of poor self-rated health in the low education group across varying levels of social spending.The paper employs data from the EU Statistics of Income and Living Conditions (EU-SILC) and includes a sample of approximately 245,000 individuals aged 25–80+ years from 18 European countries. The data were examined by means of gender stratified multilevel logistic regression analyses. The results show that social expenditures are associated with lower health inequalities among women and, to a lesser degree, among men. Especially those with primary education benefit from high social transfers as compared with those who have tertiary education. This means that lower educational inequalities in health – in absolute and relative terms- are linked to higher social spending. The four different operationalisations of social spending produce similar patterns.     

Socioeconomic status and trends in risk factors for cardiovascular diseases in the Danish MONICA population, 1982-1992

STUDY OBJECTIVE: The decline in cardiovascular mortality in Denmark during the 1980s has been greatest in the highest socioeconomic groups of the population. This study examines whether the increased social inequality in cardiovascular mortality has been accompanied by a different trend in cardiovascular risk factors in different educational groups. DESIGN: Data from three cross sectional WHO MONICA surveys conducted in 1982-84, 1987, and 1991-92, were analysed to estimate trends in biological (weight, height, body mass index, blood pressure, and serum lipids) and behavioural (smoking, physical activity during leisure, and eating habits) risk factors in relation to educational status. SETTING: County of Copenhagen, Denmark. PARTICIPANTS: 6695 Danish men and women of ages 30, 40, 50, and 60 years. MAIN RESULTS: The prevalence of smoking and heavy smoking decreased during the study but only in the most educated groups. In fact, the prevalence of heavy smoking increased in the least educated women. There was no significant interaction for the remaining biological and behavioural risk factors between time of examination and educational level, indicating that the trend was the same in the different educational groups. However, a summary index based on seven cardiovascular risk factors improved, and this development was only seen in the most educated men and women. CONCLUSION: The difference between educational groups in prevalence of smoking increased during the 1980s, and this accounted for widening of an existing social difference in the total cardiovascular risk.     

Socio-economic inequalities in health expectancy in Belgium

Various international studies have demonstrated socio-economic differences in health. Linking the 1991 Census to the National Register and using the Health Interview Survey 1997 has enabled assessment of the association between the level of education and health in Belgium using the composite indicator 'health expectancy'. The Sullivan method was used to calculate health expectancy on the basis of current probability of death and prevalence of perceived health. Two measures of educational attainment were used: absolute educational attainment and the position on a relative hierarchical educational scale obtained by a regression-based method. The latter measure enables international comparisons. Differences in health expectancy by education were spread over the whole range of the educational hierarchy, and were consistently larger among females than males. At 25 years of age, the difference in health expectancy between different levels of education reached up to 17.8 and 24.7 years in males and females, respectively. Compared with people with the highest educational attainment, males and females at the lowest level of education spent more than 10 and 20 additional years in poor perceived health, respectively. Between ages 25 and 75 years, the difference in health expectancy between people with the lowest and highest levels of education was 17 years among males and 21 years among females. Compared with people at the top of the relative educational scale, males and females at the bottom of the scale had 13.6 and 19.7 additional years in poor perceived health, respectively. The conclusions of this study in Belgium are consistent with studies in other countries. People with a low level of education have shorter lives than people with a higher level of education. They also have fewer years in good perceived health, and can expect more years in poor health in their shorter lives. The inequality in health expectancy seems to be greater in females than males.     

Socioeconomic inequality in voting participation and self-rated health

OBJECTIVES: This study tested the hypothesis that disparities in political participation across socioeconomic status affect health. Specifically, the association of voting inequality at the state level with individual self-rated health was examined. METHODS: A multilevel study of 279,066 respondents to the Current Population Survey (CPS) was conducted. State-level inequality in voting turnout by socioeconomic status (family income and educational attainment) was derived from November CPS data for 1990, 1992, 1994, and 1996. RESULTS: Individuals living in the states with the highest voting inequality had an odds ratio of fair/poor self-rated health of 1.43 (95% confidence interval [CI] = 1.22, 1.68) compared with individuals living in the states with the lowest voting inequality. This odds ratio decreased to 1.34 (95% CI = 1.14, 1.56) when state income inequality was added and to 1.27 (95% CI = 1.10, 1.45) when state median income was included. The deleterious effect of low individual household income on self-rated health was most pronounced among states with the greatest voting and income inequality. CONCLUSIONS: Socioeconomic inequality in political participation (as measured by voter turnout) is associated with poor self-rated health, independently of both income inequality and state median household income.