Cause-specific inequalities in mortality in Scotland: two decades of change. A population-based study

<p><b>Background:</b> Socioeconomic inequalities in mortality have increased in recent years in many countries. We examined age-, sex-, and cause-specific mortality rates for social groups in and regions of Scotland to understand the patterning of inequalities and the causes contributing to these inequalities.</p> <p><b>Methods:</b> We used death records for 1980–82, 1991–92 and 2000–02 together with mid-year population estimates for 1981, 1991 and 2001 covering the whole of Scotland to calculate directly standardised mortality rates. Deaths and populations were coded to small areas (postcode sectors and data zones), and deprivation was assessed using area based measures (Carstairs scores and the Scottish Index of Multiple Deprivation). We measured inequalities using rate ratios and the Slope Index of Inequality (SII).</p> <p><b>Results:</b> Substantial overall decreases in mortality rates disguised increases for men aged 15–44 and little change for women at the same ages. The pattern at these ages was mostly attributable to increases in suicides and deaths related to the use of alcohol and drugs. Under 65 a 49% fall in the mortality of men in the least deprived areas contrasted with a fall of just 2% in the most deprived. There were substantial increases in the social gradients for most causes of death. Excess male mortality in the Clydeside region was largely confined to more deprived areas, whilst for women in the region mortality was in line with the Scottish experience. Relative inequalities for men and women were greatest between the ages of 30 and 49.</p> <p><b>Conclusion:</b> General reductions in mortality in the major causes of death (ischaemic heart disease, malignant neoplasms) are encouraging; however, such reductions were socially patterned. Relative inequalities in mortality have increased and are greatest among younger adults where deaths related to unfavourable lifestyles call for direct social policies to address poverty.</p&gt

The Rotterdam Study: 2012 objectives and design update

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods

Does socioeconomic inequality in health persist among older people living in resource-poor urban slums?

Using self-reported health that assesses functionality or disability status, this paper investigates whether there are any differences in health status among older people living in a deprived area of Nairobi, Kenya. Data from a cross-sectional survey of 2,037 men and women aged 50 years and older are used to examine the association between socioeconomic position and self-reported health status across 6 health domains. Education, occupation, a wealth index, and main source of livelihood are used to assess the presence of a socioeconomic gradient in health. All the indicators showed the expected negative association with health across some, but not all, of the disability domains. Nonetheless, differences based on occupation, the most commonly used indicators to examine health inequalities, were not statistically significant. Primary level of education was a significant factor for women but not for men; conversely, wealth status was associated with lower disability for both men and women. Older people dependent on their own sources of livelihood were also less likely to report a disability. The results suggest the need for further research to identify an appropriate socioeconomic classification that is sensitive in identifying poverty and deprivation among older people living in slums