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PubMed2005

Why is mortality higher in Scotland than in England and Wales? Decreasing influence of socioeconomic deprivation between 1981 and 2001 supports the existence of a 'Scottish Effect'.

OBJECTIVES: To determine the degree to which changing patterns of deprivation in Scotland and the rest of Great Britain between 1981 and 2001 explain Scotland's higher mortality rates over that period. DESIGN: Cross-sectional analyses using population and mortality data from around the 1981, 1991 and 2001 censuses. SETTING: Great Britain (GB). PARTICIPANTS: Populations of Great Britain enumerated in the 1981, 1991 and 2001 censuses. MAIN OUTCOME MEASURES: Carstairs deprivation scores derived for wards (England and Wales) and postcode sectors (Scotland). Mortality rates adjusted for age, sex and deprivation decile. RESULTS: Between 1981 and 2001 Scotland became less deprived relative to the rest of Great Britain. Age and sex standardized all-cause mortality rates decreased by approximately 25% across Great Britain, including Scotland but mortality rates were on average 12% higher in Scotland in 1981 rising to 15% higher in 2001. While over 60% of the excess mortality in 1981 could be explained by differences in deprivation profile, less than half the excess could be explained in 1991 and 2001. After adjusting for age, sex and deprivation, excess mortality in Scotland rose from 4.7% (95% CI: 3.9% to 5.4%) in 1981 to 7.9% (95% CI: 7.2% to 8.7%) in 1991 and 8.2% (95% CI: 7.4% to 9.0%) in 2001. All deprivation deciles showed excess indicating that populations in Scotland living in areas of comparable deprivation to populations in the rest of Great Britain always had higher mortality rates. By 2001 the largest excesses were found in the most deprived areas in Scotland with a 17% higher mortality rate in the most deprived decile compared to similarly deprived areas in England and Wales. Excess mortality in Scotland has increased most among males aged <65 years. CONCLUSIONS: Scotland's relative mortality disadvantage compared to the rest of Great Britain, after allowing for deprivation, is worsening. By 1991 measures of deprivation no longer explained most of the excess mortality in Scotland and the unexplained excess has persisted during the 1990s. More research is required to understand what is causing this 'Scottish effect'.

Adolescent↗
PubMed1995

Mortality from cardiovascular diseases among potash miners exposed to heat.

We assessed mortality rates in a cohort of French potash miners between 1977 and 1987. The cohort comprised all workers of a potash mine active on January 1, 1977, or subsequently hired, with at least 3 years of employment. We compared the mortality of the subcohort exposed to heat from underground work (U) with the mortality of those who had never worked underground (D). The overall mortality was low [standardized mortality ratio (SMR) = 0.89, based on 570 deaths] and was lower among underground workers (age-standardized mortality rate = 660 per 100,000 person-years, 266 deaths) than among daylight workers (age-standardized mortality rate = 710 per 100,000 person-years, 304 deaths). Mortality from ischemic heart diseases (IHD) was higher for underground workers than for daylight workers (relative risk = 1.6). As exposure to heat decreased over time, we analyzed the mortality according to period of hire: within underground workers, we observed a downward trend for mortality from IHD which contrasted with a stable mortality from IHD among daylight workers. Among subjects who left for medical reasons, IHD mortality was five times greater in the heat-exposed group compared with daylight workers. The data are consistent with an increased risk of ischemic heart diseases from a hot environment that is offset by a strong healthy worker effect.

Cardiovascular Diseases↗
PubMed1994

The relationship of hospital ownership and teaching status to 30- and 180-day adjusted mortality rates.

Hospital characteristics have been shown previously to be associated with variations in the probability of death within 30 days of admission. In the current study, the authors extend the examination of the relationship between hospital type to both short-term and long-term adjusted mortality. Observed and predicted 1988 hospital mortality rates were obtained from the Health Care Financing Administration (HCFA). A total of 3,782 acute care hospitals were divided into six mutually exclusive groups on the basis of their status as osteopathic, private for-profit, public teaching, public nonteaching, private teaching, and private nonteaching hospitals. After adjusting for the HCFA predicted mortality, Medicaid admissions, and emergency visits, 30-day and 30-to-180-day patient mortality rates were compared for these hospital types. Separate comparisons also were performed after stratifying hospitals into three groups defined by community size. The risk-adjusted 30-day mortality per 1,000 patients was 91.5, ranging from 85.4 for private teaching hospitals to 95.3 for nonteaching public hospitals, and 97.4 for osteopathic hospitals. The adjusted 30-to-180-day mortality was 84.7, ranging from 82.6 for nonteaching public hospitals to 87.4 and 88.2, respectively for public teaching and osteopathic hospitals. Differences among hospital types were minimal for small communities and increased with community size. In the large communities, the types of hospitals with high 30-day mortality also had higher mortality after 30 days. There was a strong association of hospital type with adjusted 30-day mortality, which should depend on the quality of hospital care, and a much weaker association with post-30-day mortality, which may be more dependent on patient risk. There was no evidence that types of hospitals with low 30-day mortality were postponing rather than preventing mortality.

Acute Disease↗
PubMed2005

Charlson Comorbidity Index can add prognostic information to Rapid Emergency Medicine Score as a predictor of long-term mortality.

OBJECTIVES: To investigate whether co-existing medical disorders, summed up in a comorbidity index, in nonsurgical patients attending the emergency department could predict short-term and long-term mortality, and whether the index could add prognostic information to the Rapid Emergency Medicine Score. METHODS: This was a prospective cohort study. In all, 885 nonsurgical patients, presenting to an adult emergency department and admitted to a medical department of a 1200-bed university hospital during 2 months, were enrolled consecutively. The Rapid Emergency Medicine Score (including blood pressure, oxygen saturation, respiratory rate, pulse rate, age and Glasgow coma scale) was calculated within 20 min in all those admitted to the emergency department. The history of coexisting disorders (Charlson Comorbidity Index) was collected from the medical records. RESULTS: In a univariate analysis, the Charlson Comorbidity Index could predict both short-term and long-term mortality in nonsurgical emergency department patients. An increase of one point in the 16-point Charlson Comorbidity Index scale was associated with a hazard ratio of 1.15 (95% CI 1.04-1.28, P<0.0001) for 7-day mortality and 1.28 (95% CI 1.23-1.33, P<0.0001) for 5-year mortality. The Rapid Emergency Medicine Score could also predict both short-term and long-term mortality (hazard ratio for an increase of one point in the 26-point Rapid Emergency Medicine Score scale was 1.33 (95% CI 1.28-1.39, P<0.0001) for 7-day mortality and 1.25 (95% CI 1.22-1.28, P<0.0001) for 5-year mortality. The Charlson Comorbidity Index could also add prognostic information to the Rapid Emergency Medicine Score as a predictor of long-term mortality, but it could not independently predict short-term (3-day, 7-day) mortality when forced into the same multivariate logistic model as the Rapid Emergency Medicine Score (hazard ratio for one point increase in the Charlson Comorbidity Index was 1.20 for 5-year mortality (95% CI 1.15-1.25, P<0.0001). CONCLUSION: Information on coexisting disorders (Charlson Comorbidity Index) can prognosticate both short-term and long-term mortality in the nonsurgical emergency department. It can also add prognostic information to the Rapid Emergency Medicine Score as a predictor of long-term mortality.

Aged↗
PubMed2005

Weight change and mortality: the Nord-Trøndelag Health Study.

OBJECTIVES: The prevalence of obesity is increasing. Overweight and obese people have increased mortality compared with normal weight people. We investigated the effect of weight change on mortality. DESIGN: Prospective population study. SETTING: We utilized data from two large population-based health studies conducted in 1984-86 and 1995-97 respectively. Cox proportional hazards models were used to calculate mortality rate ratios (RRs) with 95% confidence intervals (CIs) between people with a stable weight and people who lost or gained weight. Subjects. Totally 20,542 men and 23,712 women aged 20 years or more, without cardiovascular disease or diabetes at the first survey and without a history of cancer at the second survey were followed up on all-cause mortality for 5 years after the second survey. RESULTS: We found no association between weight gain and mortality. People who lost weight had a higher total mortality rate compared with those who were weight stable [RR was 1.6 (95% CI: 1.4-1.8) in men and 1.7 (95% CI: 1.5-2.0) in women]. Similar associations were found for cardiovascular and noncardiovascular mortality. Additional analysis showed a linear increase in mortality rates across categories of weight loss for both men and women (P < 0.001). There was a statistically significant interaction between weight change and initial BMI, but only amongst men (P = 0.001). CONCLUSIONS: Weight loss, but not weight gain, was associated with increased mortality amongst men and women. Although underlying undiagnosed disease is the most plausible explanation for this finding, the similar associations found for total mortality, cardiovascular mortality, and noncardiovascular mortality makes the causal pathway somewhat enigmatic.

Adult↗
PubMed2006

Prospective comparison of POSSUM and P-POSSUM with clinical assessment of mortality following emergency surgery.

BACKGROUND: Tools to accurately estimate the risk of death following emergency surgery are useful adjuncts to informed consent and clinical decisions. This prospective study compared the Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM) and Portsmouth POSSUM (P-POSSUM) scoring systems with clinical judgement in predicting mortality from emergency surgery. METHODS: Data were collected prospectively from 163 patients. Details of the physiological and operative severity scores were recorded for POSSUM and P-POSSUM. The estimates of both the surgeon and anaesthetist for 30-day and in-hospital mortality were also recorded pre-operatively. The accuracies of the four predictions were then compared with actual mortalities using linear and exponential analysis and receiver operator characteristics (ROC). RESULTS: P-POSSUM gave the most accurate prediction of 30-day mortality using linear analysis [observed to expected ratio (O : E) = 1.0]. POSSUM gave the most accurate prediction using exponential analysis (O : E = 1.15). Clinical judgement of mortality from both operating surgeons and anaesthetists compared favourably with the scoring systems for 30-day mortality (O : E = 0.83 and O : E = 0.93, respectively). ROC analyses showed both clinical judgement and the POSSUM scores to be good predictors of 30-day mortality with area under the curve values (AUC) of 0.903, 0.907, 0.946 and 0.940 for surgeons, anaesthetists, POSSUM and P-POSSUM respectively. CONCLUSIONS: POSSUM and P-POSSUM appear to be useful indicators for the prediction of mortality. Clinical judgement compares strongly with scoring systems in predicting post-operative mortality, but may underestimate mortality in very high-risk patients with more than 90% mortality.

Emergencies↗
PubMed1990

Mortality in a cohort of long-term users of hormone replacement therapy: an updated analysis.

OBJECTIVE: To reexamine the mortality experience of a cohort of long-term users of hormone replacement therapy (HRT) in comparison with that reported previously for the same cohort of women, paying particular attention to cardiovascular mortality, deaths from breast and endometrial cancer, and deaths attributed to suicide or suspected suicide. DESIGN: Longitudinal cohort of 4544 long-term users of HRT amongst whom mortality is being monitored prospectively in comparison with expected rates in the female population of England and Wales (taking account of age and calendar period). SUBJECTS: 4544 women, all of whom were recruited from specialist menopause clinics around Britain and had taken at least one year's continuous HRT at the time of recruitment to the study. MAIN OUTCOME MEASURES: All cause mortality, cardiovascular mortality, deaths from female cancers, deaths attributed to suicide or suspected suicide. RESULTS: Overall mortality (based on 236 deaths over the entire study period from recruitment to December 1988) remained significantly lower than expected on the basis of national rates (relative risk (RR) 0.56, 95% confidence limits (CL) 0.47-0.66). When specific causes were considered, the only mortality ratios greater than unity were for injury, poisoning and violence (1.54, 95% CL 1.02-2.06), and for suicide and suspected suicide ('suicide') (2.40, 95% CL 1.68-3.11). Comparison of the ratios for the 112 additional deaths with those obtained in our previous analysis revealed that one of the few ratios to show any increase was that for breast cancer mortality. This rose from a significant deficit of 0.55 (95% CL 0.28-0.96) in the earlier period to 1.00 (95% CL 0.55-1.45) in the later period. There was also a suggestion of an increase in breast cancer risk with increasing duration since first use of HRT. Most of the other cause-specific ratios were very similar over the two periods. The ratio of death from all circulatory diseases was notably lower in the later analysis (RR 0.37, 95% CL 0.15-0.58) than in the earlier analysis (0.51, 95% CL 0.36-0.69), as were all of the subcategories of cardiovascular death. The mortality ratio for cancer of the ovary and uterine adnexa fell from 1.12 in the previous analysis to 0.63 (95% CL 0-1.41). The mortality ratio for 'suicide' also decreased, but was only slightly lower in the later period. As before, however, there was evidence of a relatively high prevalence of prior psychiatric problems amongst the recent 'suicide' deaths, suggesting that the excess of deaths from 'suicide' may be a manifestation of selection. CONCLUSION: These data are consistent with a beneficial effect of HRT on cardiovascular diseases, although updated information comparing progestogen-opposed and -unopposed treatment is not available. The increase in breast cancer mortality contrasts with the pattern for all other specific causes examined; taken together with the suggestion of an increase in breast cancer mortality with increasing interval since first exposure to HRT, this finding is somewhat worrying.

Breast Neoplasms↗
PubMed1989

Body weight and mortality in middle aged British men: impact of smoking.

OBJECTIVE: To assess the relation between body mass index and mortality in middle aged British men. DESIGN: Men who were recruited for the British Regional Heart Study were followed up for a mean of nine years. SETTING: General practices in 24 British towns. SUBJECTS: 7735 Men aged 40-59 years selected from the age-sex registers of one group practice in each of the 24 towns. MAIN OUTCOME MEASURE: Mortality from cardiovascular and non-cardiovascular causes. RESULTS: 660 Of the men died. There was a U-shaped relation between body mass index and total mortality. Very lean men (less than 20 kg/m2) had by far the highest mortality followed by lean men (20-22 kg/m2) and obese men (greater than or equal to 28 kg/m2). The high mortality in lean and very lean men was due largely to non-cardiovascular causes, particularly lung cancer and respiratory disease, which are associated with cigarette smoking. In obese men deaths were more likely to be due to cardiovascular causes. There was a strong inverse association between body weight and cigarette smoking. When the pattern of mortality was examined by age, smoking habits, and pre-existing smoking related disease both very lean men and obese men consistently had an increased mortality. The U-shaped relation was most prominent in men in the oldest age group (55-59). Current smokers had a higher mortality than former smokers at virtually all values of body mass index. An increased mortality in lean men was seen only in current smokers and in men with smoking related disease. Among men who had never smoked, lean men had the lowest total mortality, thereafter mortality increased with increasing body mass index (p less than 0.01). CONCLUSIONS: This study provides strong evidence of the impact of cigarette smoking on body weight and mortality and strongly suggests that the benefits of giving up smoking are far greater than the problems associated with the increase in weight that may occur.

Adult↗
PubMed2001

Timing of birth and infant and early neonatal mortality in Sweden 1973-95: longitudinal birth register study.

OBJECTIVE: To assess the impact of time of birth on infant mortality and early neonatal mortality in full term and preterm births. DESIGN: Analysis of data from the Swedish birth register, 1973-95. PARTICIPANTS: 2 102 324 spontaneous live births of infants without congenital malformation. OUTCOME MEASUREMENTS: Absolute and relative risk of infant mortality, early neonatal mortality, and early neonatal mortality related to asphyxia. RESULTS: Infant mortality, early neonatal mortality, and early neonatal mortality related to asphyxia were higher in infants who were born during the night (9 pm to 9 am) compared with those born during the day for 1973-9, 1980-9, and 1990-5. The difference was more dramatic for preterm infants. The largest difference was observed during 1990-5, when there was a 30% increase in early neonatal mortality (relative risk 1.31, 95% confidence interval 1.10 to 1.57) and a 70% increase in early neonatal mortality related to asphyxia (1.70, 1.22 to 2.38) in preterm infants born during the night compared with rates for preterm infants born during the day. A detailed analysis over 24 hours revealed two "high risk" periods: between 5 pm and 1 am and around 9 am. CONCLUSIONS: Infants born during the night have a greater risk of infant and early neonatal mortality and early neonatal mortality related to asphyxia than those born during the day. There has been no improvement over the past two decades. The problem is more serious for preterm births and was even worse in the 1990s. Shift changes and the hours immediately after such changes are high risk periods for neonatal care.

Asphyxia Neonatorum↗
PubMed2006

Mortality after acute myocardial infarction according to income and education.

OBJECTIVE: To study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND SETTING: Prospective analysis using individual level linkage of registries in Denmark. PARTICIPANTS: All patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002. MAIN OUTCOME MEASURES: Relative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity. RESULTS: The study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality. CONCLUSION: This study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.

Acute Disease↗
PubMed1995

Socioeconomic factors and mortality in urban settings: the case of Barcelona, Spain.

STUDY OBJECTIVE: This study aimed to describe the relationship between health and socioeconomic indicators in the 38 neighbourhoods of the city of Barcelona, Spain. DESIGN: Mortality data for 1983-89 and socioeconomic data for each of the 38 neighbourhoods of Barcelona were used. Mortality indicators used were the comparative mortality figure, the ratio of potential years of life lost, and life expectancy at birth. Socioeconomic indicators were the percentage of unemployed, the percentage of illiteracy, monthly telephone usage, the average power and age of cars, and the average rateable value of buildings and of land. The statistical correlation between socioeconomic indicators and mortality indicators was studied by Spearman's rank correlation coefficient. SETTING: The 38 neighbourhoods of Barcelona, Spain. MEASUREMENTS AND MAIN RESULTS: The comparative mortality figure ranged from 87.41-152.43 and the ratio of potential years of life lost from 74.94-237.31 in both sexes. Both the absolute difference and the ratio of the value for the neighbourhood with lowest mortality and that with highest mortality were larger when premature mortality was examined. Life expectancy at birth ranged from 64.77-75.32 years in men and 75.04-81.51 in women. All correlations between mortality and socioeconomic indicators were high and statistically significant: the higher the unemployment and illiteracy levels and the older the cars, the greater the comparative mortality figure and ratio of potential years of life lost, and the lower the life expectancy (negative correlations). Conversely, the higher the telephone use, the more powerful the cars, and the greater the rateable value, the lower the mortality (negative correlations) and the greater the life expectancy. These correlations were greater in males than in females. The highest correlations were with illiteracy. CONCLUSIONS: This study has detected significant differences in mortality in a large town in the Mediterranean region of Europe.

Adolescent↗
PubMedDate not supplied

[Geographical distribution and time trends in avoidable mortality in Catalonia, Spain (1986-2001)].

OBJECTIVES: To analyze time trends and geographical variation in avoidable mortality by health areas in Catalonia. MATERIAL AND METHODS: Avoidable mortality was analyzed according to the classification used by the Health Department of the Regional Government of Catalonia from 1986-2001 for health areas and causes were grouped as treatable and preventable. Standardized mortality rates were calculated by the direct and indirect method and the comparative mortality figures were calculated for the treatable and preventable groups and for the 46 health areas. The mean annual change adjusted for age was also calculated using a Poisson regression of avoidable and general mortality. RESULTS: The total number of avoidable deaths was 61,261 (7.3% of overall deaths). 10,623 cases (17.34%) were classified as treatable and 50,638 (82.65%) as preventable. The mean annual change for avoidable causes was -2.43% (95% CI, -2.60 to -2.26), higher than the -1.57% (95% CI, -1.61 to -1.52) change for general mortality. The rates were higher for preventable causes than for treatable causes, although mortality decreased in both groups. The health area of Segrià was notable for its significantly higher mortality from both treatable and preventable causes in both periods. Four health areas showed a significant increase in mortality from preventable causes but none showed an increase in mortality from treatable causes. CONCLUSIONS: In Catalonia, the decrease in avoidable mortality was greater than that in general mortality from 1986 to 2001. The geographical distribution shows wide dispersion but allows areas requiring preventive interventions to be identified.

Adolescent↗
PubMed1997

Socioeconomic level, sedentary lifestyle, and wine consumption as possible explanations for geographic distribution of cerebrovascular disease mortality in Spain.

BACKGROUND AND PURPOSE: The geographic distribution of cerebrovascular disease (CVD) mortality in Spain spans a wide range, from provinces where mortality is low (70/100,000) and close to that of the United States and other Anglo-Saxon countries, to others where mortality is high (180/100,000) and more akin to that of Portugal and the Mediterranean and central European countries. This report seeks to identify the socioeconomic and lifestyle factors that most contribute to the geographic pattern of CVD mortality in Spain. METHODS: We performed a study using data collected at a provincial level. Mortality data were taken from official vital statistics, and data on risk factors were obtained from surveys of representative large Spanish population samples. Correlation and multiple linear regression analyses were performed on standardized CVD mortality ratios and potential determinants of mortality for the period 1989 to 1993. RESULTS: CVD mortality, unemployment and illiteracy rates, blond cigarette smoking, and sedentary lifestyle proved substantially higher in the south and east (Mediterranean coast) of Spain. Saturated fatty acid intake and wine consumption were both lower in these regions, however. Illiteracy, wine consumption, sedentary lifestyle, high blood pressure, blond cigarette smoking, prevalence of diabetes, and body mass index > or = 30 explained 59% of the variation in CVD mortality. Only illiteracy, sedentary lifestyle, and wine consumption registered a statistically significant relationship (P < .05) with CVD mortality. Whereas lower consumption of wine showed a negative association with CVD mortality, higher consumption revealed a positive association. CONCLUSIONS: Socioeconomic level, as measured by illiteracy, sedentary lifestyle, and wine consumption, may partly explain the higher CVD mortality registered for regions situated in the south and east of Spain.

Aged↗
PubMed2004

Infant mortality trends in a region of Belarus, 1980-2000.

BACKGROUND: The Chernobyl disaster in 1986 and the breakup of the former Soviet Union (FSU) in 1991 challenged the public health infrastructure in the former Soviet republic of Belarus. Because infant mortality is regarded as a sensitive measure of the overall health of a population, patterns of neonatal and postneonatal deaths were examined within the Mogilev region of Belarus between 1980 and 2000. METHODS: Employing administrative death files, this study utilized a regional cohort design that included all infant deaths occurring among persons residing within the Mogilev oblast of Belarus between 1980 and 2000. Patterns of death and death rates were examined across 3 intervals: 1980-1985 (pre-Chernobyl), 1986-1991 (post-Chernobyl & pre-FSU breakup), and 1992-2000 (post-Chernobyl & post-FSU breakup). RESULTS: Annual infant mortality rates declined during the 1980s, increased during the early 1990s, and have remained stable thereafter. While infant mortality rates in Mogilev have decreased since the period 1980-1985 among both males and females, this decrement appears due to decreases in postneonatal mortality. Rates of postneonatal mortality in Mogilev have decreased since the period 1980-1985 among both males and females. Analyses of trends for infant mortality and neonatal mortality demonstrated continuous decreases between 1990, followed by a bell-shaped excess in the 1990's. Compared to rates of infant mortality for other countries, rates in the Mogilev region are generally higher than rates for the United States, but lower than rates in Russia. During the 1990s, rates for both neonatal and postneonatal mortality in Mogilev were two times the comparable rates for East and West Germany. CONCLUSIONS: While neonatal mortality rates in Mogilev have remained stable, rates for postneonatal mortality have decreased among both males and females during the period examined. Infant mortality rates in the Mogilev region of Belarus remain elevated compared to rates for other western countries, but lower than rates in Russia. The public health infrastructure might attempt to assure that prenatal, maternal, and postnatal care is maximized.

Cause of Death↗
PubMed2006

Contribution of main causes of death to social inequalities in mortality in the whole population of Scania, Sweden.

BACKGROUND: To more efficiently reduce social inequalities in mortality, it is important to establish which causes of death contribute the most to socioeconomic mortality differentials. Few studies have investigated which diseases contribute to existing socioeconomic mortality differences in specific age groups and none were in samples of the whole population, where selection bias is minimized. The aim of the present study was to determine which causes of death contribute the most to social inequalities in mortality in each age group in the whole population of Scania, Sweden. METHODS: Data from LOMAS (Longitudinal Multilevel Analysis in Skåne) were used to estimate 12-year follow-up mortality rates across levels of socioeconomic position (SEP) and workforce participation in 975,938 men and women aged 0 to 80 years, during 1991-2002. RESULTS: The results generally showed increasing absolute mortality differences between those holding manual and non-manual occupations with increasing age, while there were inverted u-shaped associations when using relative inequality measures. Cardiovascular diseases (CVD) contributed to 52% of the male socioeconomic difference in overall mortality, cancer to 18%, external causes to 4% and psychiatric disorders to 3%. The corresponding contributions in women were 55%, 21%, 2% and 3%. Additionally, those outside the workforce (i.e., students, housewives, disability pensioners, and the unemployed) showed a strongly increased risk of future mortality in all age groups compared to those inside the workforce. Even though coronary heart disease (CHD) played a major contributing role to the mortality differences seen, stroke and other types of cardiovascular diseases also made substantial contributions. Furthermore, while the most common types of cancers made substantial contributions to the socioeconomic mortality differences, in some age groups more than half of the differences in cancer mortality could be attributed to rarer cancers. CONCLUSION: CHD made a major contribution to the socioeconomic differences in overall mortality. However, there were also important contributions from diseases with less well understood mechanistic links with SEP such as stroke and less-common cancers. Thus, an increased understanding of the mechanisms connecting SEP with more rare causes of disease might be important to be able to more successfully intervene on socioeconomic differences in health.

Adolescent↗
PubMed2004

A multistage theory of age-specific acceleration in human mortality.

BACKGROUND: Humans die at an increasing rate until late in life, when mortality rates level off. The causes of the late-life mortality plateau have been debated extensively over the past few years. Here, I examine mortality patterns separately for each of the leading causes of death. The different causes of death show distinct mortality patterns, providing some clues about the varying acceleration of mortality at different ages. RESULTS: I examine mortality patterns by first plotting the data of mortality rate versus age on a log-log scale. The slope of the age-specific mortality rate at each age is the age-specific acceleration of mortality. About one-half of total deaths have causes with similar shapes for the age-specific acceleration of mortality: a steady rise in acceleration from midlife until a well-defined peak at 80 years, followed by a nearly linear decline in acceleration. This first group of causes includes heart disease, cerebrovascular disease, and accidental deaths. A second group, accounting for about one-third of all deaths, follows a different pattern of age-specific acceleration. These diseases show an approximately linear rise in acceleration to a peak at 35-45 years of age, followed by a steep and steady decline in acceleration for the remainder of life. This second group includes cancer, chronic respiratory diseases, and liver disease. I develop a multistage model of disease progression to explain the observed patterns of mortality acceleration. CONCLUSIONS: A multistage model of disease progression can explain both the early-life increase and late-life decrease in mortality acceleration. An early-life rise in acceleration may be caused by increasing rates of transition between stages as individuals grow older. The late-life decline in acceleration may be caused by progression through earlier stages, leaving only a few stages remaining for older individuals.

Adult↗
PubMed2003

Age-related trends in mortality from COPD in Lithuania, 1989 to 1998.

OBJECTIVE: To assess the age-related trends in mortality from COPD in middle-aged and elderly populations of Lithuania during a 10-year period (1989 to 1998). METHODS: Annual mortality was reported as the age-standardized mortality rates. Mortality rates were standardized to the 1989 European population. Trends in mortality were assessed by logarithmic regression coefficient beta that, expressed by percentage, estimated the average annual change in mortality. RESULTS: Analysis of mortality from COPD in the Lithuanian population during this 10 years revealed that mortality rates directly related to older age, and the indexes of men in various age groups were twofold to threefold greater than those of women. Annual change in mortality assessed by logarithmic regression coefficient in men aged 35 to 64 years was - 5.7% (p = 0.002) and in age group >or= 65 years it was - 2.9% (p = 0.001); in women, the change in mortality was - 7.2% (p = 0.006) and - 2.5% (p = 0.03), respectively. CONCLUSION: Mortality from COPD in Lithuania during the 10-year period was decreasing in middle-aged and elderly populations and in both men and women. Decrease in mortality occurred at a slower rate in the elderly population than in middle-aged population.

Adult↗
PubMed2003

Power relations and premature mortality in Spain's autonomous communities.

This trends ecological study analyzes, across 17 autonomous communities of Spain from 1989 to 1998, the relationship between mortality (total and by main causes of death) and power relations (type of government: social democratic (SDP), conservative (CDP), and others), labor market variables, welfare state variables, income inequality, absolute income, poverty, and number of civil associations. The authors conducted a descriptive analysis; a bivariate analysis (Pearson correlation coefficients) between mortality and each of the independent variables; and a multivariate analysis, adjusting multilevel linear regression models. All dimensions of the conceptual power relations model were related to premature mortality in the direction hypothesized. The cross-pooled multilevel regression models show that total premature mortality in males, male and female cerebrovascular mortality, male and female cirrhosis mortality, and male lung cancer mortality decreased somewhat more in communities where primary health care reform was implemented more quickly. Premature mortality decreased somewhat more in SDP than in CDP communities for male and female total premature mortality, cerebrovascular mortality, and cirrhosis mortality, and male lung cancer mortality. These results are in accord with earlier studies that found a relationship among health indicators and variables related to labor market, welfare state, income inequalities, civil associations, and power relations.

Adolescent↗