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PubMed1997

Study of a calculation method for healthy life expectancy.

"To develop a calculation method for healthy life expectancy which would be suitable for China we analyzed the healthy life expectancy of urban residents in China, employing data on residents' deaths and data available from the 1993 national survey for health services and family health conditions.... Results of the study show that the ratio of healthy life expectancy to life expectancy decreases with the increase of the residents' age; healthy life expectancy for females is higher than that for males; [and] healthy life expectancy for residents of large cities is lower than that for residents of medium and small cities."

Age Factors↗
PubMed2001

[Increasing life expectancy: adding quality of life to those years].

Demographic changes are a challenge for the health care system. Based on three case reports, the potential for improving preventive, rehabilitative, and palliative care in older persons is presented. The article discusses the method of multidimensional geriatric assessment.

Aged↗
PubMed2003

[Disability-free life expectancy among 60-year-olds in Denmark].

INTRODUCTION: Life expectancy can be expressed as average expected lifetime in different health states. The purpose of the study was to estimate disability-free life expectancy, i.e. average lifetime without disabilities, in Denmark and in the counties of Denmark and evaluate the relation between life expectancy and the proportion of disability-free life expectancy. MATERIAL AND METHODS: Prevalence rates of disability (in terms of walking, walking on stairs, carrying 5 kg, reading, hearing and speaking) derived from the Danish Health Interview Survey 2000 were combined with life-table data and disability-free life expectancy was calculated by Sullivan's method. RESULTS: In 2000 expected lifetime of 60-year-old men and women was 18.8 years and 22.0 years respectively and disability-free life expectancy was 14.7 years for both sexes corresponding to 78.4% and 66.6% of the remaining lifetime for men and women respectively. Differences in disability-free life expectancy between counties ranged from zero to three years. In counties with the highest life expectancy among women they tended to have a higher proportion of life years with disabilities, but there was no correlation between life expectancy and the proportion of disability-free life expectancy for men. DISCUSSION: The results may illustrate theories about the relation between increased lifetime and quality of life in terms of health. Increased total lifetime for women prolongs the proportion of expected lifetime with disability ("expansion of morbidity"), whereas for men no correlation was found ("dynamic equilibrium").

Activities of Daily Living↗
PubMed1993

Educational status and active life expectancy among older blacks and whites.

BACKGROUND AND METHODS: Persons of low socioeconomic status are known to have reduced life expectancy. In a study of the relation of socioeconomic status to disability-free or active life expectancy among older persons, we analyzed prospectively gathered data on 2219 blacks and 1838 whites who were 65 years of age or older in the Piedmont region of North Carolina. We defined disability as the inability to perform independently one or more basic functional activities such as walking, bathing, dressing, eating, and using the toilet. For subgroups defined by sex, race, and education, statistical models were used to estimate, for persons at each year of age, the probability of transition from not being disabled or being disabled at base line to not being disabled, being disabled, or having died one year later. These transition probabilities were then entered into increment-decrement life tables to generate estimates of total, active, and disabled life expectancy (with total life expectancy equal to active life expectancy plus disabled life expectancy). RESULTS: Sixty-five-year-old black men had a lower total life expectancy (11.4 years) and active life expectancy (10 years) than white men (total life expectancy, 12.6 years; active life expectancy, 11.2 years), although the differences were reduced after we controlled for education. The estimates for 65-year-old black women (total life expectancy, 18.7 years; active life expectancy, 15.9 years) were similar to those for white women. Black men and women 75 years old and older had higher values for total life expectancy and active life expectancy than whites, and the differences were larger after stratification for education. Education had a substantially stronger relation to total life expectancy and active life expectancy than did race. At the age of 65, those with 12 or more years of education had an active life expectancy that was 2.4 to 3.9 years longer than the values for those with less education in all the four subgroups defined by sex and race. Overall, the subgroups with longer total life expectancy and active life expectancy also lived more years with a disability. CONCLUSIONS: Among older blacks and whites, the level of education, a measure of socioeconomic status, has a greater effect than race on total life expectancy and active life expectancy.

Activities of Daily Living↗
PubMed1988

Hypertension, quality of life and functional status: the concept of active life expectancy.

Mortality rates and measures of life expectancy are widely used to compare and monitor health within populations. However, there is a need to add dimensions of population health other than survival. An alternative measure, 'active life expectancy', is a way of quantifying the functional health of older adult populations and, in part, measuring quality of life. Life-table techniques are used to define the expected duration of well-being. Instead of death, the end-point of active life expectancy is loss of independence in activities of daily living. Initial studies showed that active life expectancy decreased with age, from 10 years to 4.7 years and 2.9 years, respectively, for people entering the age intervals 65-69, 80-84 and 85 years and over. Since cardiovascular disease is the major cause of disability in the older adult population, measures of active life expectancy can provide improved information about functional independence and dependence. Life tables with estimates of active life expectancy can be used as a basis for determining the needs of age cohorts of people with hypertension and other conditions.

Activities of Daily Living↗
PubMed2002

[Study on the life expectancy of residents in Xinjiang Production and Construction Group, from 1997 to 1999].

OBJECTIVE: To understand the life expectancy of residents in Xinjiang production and Construction Group, from 1997 to 1999. METHODS: Stratified cluster sampling method was used to obtain mortality rate, sequence of death causes, life expectancy, life eliminated major cause of deaths, years of potential life lost (YPLL) and level of long life. These indeices were used to compare and analyze health status on residents in the area. RESULTS: The life expectancy on residents in the area was 75.61 years old for all residents, 72.73 years old for males, 80.02 years old for females from 1997 to 1999. The life expectancy for people living in agricultural and livestock farms was lower (73.97 years old). It was found that life expectancy was parallel to the level of economy. Life expectancy of northern residents was higher than those living in the southern and eastern parts of the area. The annual average mortality rate of the residents was 5.17 per thousand (standard mortality rate 4.02 per thousand ). The sequence of major causes of death was shown as below: malignant tumors, cerebrovascular diseases, respiratory system diseases, cardiac diseases, accidental deaths, infectious diseases, certain conditions originated in the perinatal period. In the life eliminated major cause of deaths, respiratory system diseases and certain conditions originated in the perinatal period were higher than others. In both sequences of YPLL and SYPLL for major causes of death, accidental death was always in the leading place. There was a higher longevity on residents from the better economic area. CONCLUSIONS: Higher life expectancy in the area was noticed, but the differences among the different area were bigger. In order to improve the level of health on all residents in the area, it is necessary to strengthen the administration on social and natural environment of the area. Furthermore, decreasing accidental deaths, controlling respiratory system diseases (especially for infant) and improving health care of infants in perinatal period are very important tasks in the area.

Adolescent↗
PubMed1994

Estimating increment-decrement life tables with multiple covariates from panel data: the case of active life expectancy.

A fundamental limitation of current multistate life table methodology-evident in recent estimates of active life expectancy for the elderly-is the inability to estimate tables from data on small longitudinal panels in the presence of multiple covariates (such as sex, race, and socioeconomic status). This paper presents an approach to such an estimation based on an isomorphism between the structure of the stochastic model underlying a conventional specification of the increment-decrement life table and that of Markov panel regression models for simple state spaces. We argue that Markov panel regression procedures can be used to provide smoothed or graduated group-specific estimates of transition probabilities that are more stable across short age intervals than those computed directly from sample data. We then join these estimates with increment-decrement life table methods to compute group-specific total, active, and dependent life expectancy estimates. To illustrate the methods, we describe an empirical application to the estimation of such life expectancies specific to sex, race, and education (years of school completed) for a longitudinal panel of elderly persons. We find that education extends both total life expectancy and active life expectancy. Education thus may serve as a powerful social protective mechanism delaying the onset of health problems at older ages.

Activities of Daily Living↗
PubMed1999

What has contributed to the change in life expectancy in Italy between 1980 and 1992?

Life expectancy at birth in southern Europe is known to be greater than expected in comparison with levels of economic development. This has been attributed to the 'Mediterranean diet'. There are, however, concerns that this comparative advantage is being lost. This paper examines the factors underlying changing life expectancy in Italy since 1980. The subjects of this analysis are obtained from data on all deaths in Italy between 1980 and 1992. Change in age specific death rates is calculated from selected causes and, using the method developed by Pollard, the contribution of deaths from different causes and at different ages to changing life expectancy at birth is estimated. Between 1980 and 1992, life expectancy at birth increased by 2.70 years for men and 2.75 years for women. Death rates have fallen among children and those over 40. In contrast, death rates have increased among men aged between 20 and 39 and have increased very slightly among women aged 25-29. Falling death rates from ischaemic heart disease are continuing to contribute to increasing life expectancy. Death rates from lung and breast cancer are rising among women but are compensated for by falling death rates from other cancers. Among men, falling death rates from cancer at younger ages are being offset by increases at older ages. The rising death rate among younger men is almost entirely due to AIDS, with accidents also making a small contribution. Life expectancy in Italy has improved throughout the 1980s, largely driven by falling death rates from cardiovascular diseases. Here are, however, some worrying trends, most notably the rising death rate among young men, due almost entirely to AIDS. The changing pattern of mortality has some similarities with Spain, another Mediterranean country, but there are also important differences.

Acquired Immunodeficiency Syndrome↗
PubMed1997

The influence of some factors on the non-homogeneity in adult male life expectancy in the Slovak Republic.

Life expectancy of males in the Slovak Republic, a small postcommunist country in Central Europe, is among the lowest in Europe due to the extremely high mortality rate in middle-aged men. The relation between male life expectancy at age 20 and several variables (i.e. ethnic structure, educational status, religious belief and economic activity) was analysed by simple regressions and by multifactorial methods in all 38 districts of Slovakia. Significant negative associations were found between male life expectancy at age 20 and ethnic structure (i.e. percent of Hungarian population), economic activity (percent of men employed in agriculture) and educational status (percent of men having only a basic education). In multifactorial analysis educational status and ethnic structure entered the model. The most dramatic health decline occurred in agricultural southern districts with high percentage of Hungarian minority and with high percentage of men with the lowest educational status. Lifestyle probably presents the background of these relations, but there is a lack of reliable data from the individual districts for a more profound analysis. More sophisticated epidemiological research projects are important for the formulation of a public health strategy in Slovakia.

Adult↗
PubMedDate not supplied

Changes in U.S. life expectancy.

In 1993 the expectation of life in the United States apparently declined slightly. Newborns could expect, on average, to live 75.4 years; for baby boys the figure was 72.0 years and for girls 78.7 years. Each of these values represents a decline of 0.3 years from the 1992 provisional expectancies prepared by the National Center for Health Statistics, and results in average future lifetime returning to the 1990-91 level. Last year's decrease in life expectation was primarily brought about by the considerable rise in the absolute number of deaths and the corresponding increase in mortality rates. Indications are that mortality increased from all major forms of death as well as from AIDS. It is estimated that there were 2,260,000 deaths in 1993 compared with the provisional count of 2,177,000 in 1992 and the final figure of 2,169,518 in 1991. Notwithstanding, projections indicate that expectation of life will continue to rise into the foreseeable future although occasional small declines are likely such as that reported for 1993.

Adolescent↗
PubMed2002

[Disorders requiring nursing care and the period before recognized as needing nursing care (active life expectancy) in relation to nursing care insurance].

PURPOSE: To measure the state of health of the elderly population, active and dependent life expectancies were calculated based on the number of people needing nursing care. For this purpose, active life expectancy was defined as the period before nursing care was recognized by insurers as being required. Moreover, to cast light on disorders requiring nursing care, age-adjusted nursing time needed for different ailments per ten thousand elderly population was calculated. SUBJECTS AND METHODS: Subjects were those 65 years or over living in Taihaku-ku, Sendai City, recognized as needing nursing care by nursing care insurers. The period before being recognized as needing nursing care was calculated using the Sullivan method, and termed the active life expectancy. Dependent life expectancy = life expectancy - active life expectancy. The number of those needing nursing care caused by each disorder diagnosed by attending physicians, was also age-adjusted by the reference population and multiplied by the nursing time needed for each level of nursing, resulting in the age-adjusted nursing time needed per ten thousand elderly population. RESULTS: Those recognized as needing nursing care were 7.5% (7.7% after age adjustment) of the male elderly population, and 12.5% of the female population (10.7% after age adjustment). For men, the active life expectancy was 16.1 years for the age of 65, 9.2 years for 75 and 4.4 years for 85, while the dependent one was 2.0-2.1 years for all ages. For women, the active life expectancy was 19.3 years for the age of 65, 11.1 years for 75 and 4.8 years for 85, while the dependent one was 4.6-5.3 years. The age-adjusted nursing time needed per ten thousand elderly population was 874 hours for men and 1,125 hours for women: of the time 51% was for men with cerebrovascular disease (40% for cerebral infarction), 11% for men with dementia; 37% for women with cerebrovascular disease (26% for cerebral infarction), 20% for women with skeletal diseases, 18% for women with dementia. CONCLUSIONS: The active life expectancy for women is longer than for men, by 3.7 years for the age of 65, by 2.3 years for 75 and by 0.5 years for 85. The dependent life expectancy for women is also longer than for men, by 3.2 years for the ages of 65 and 75 and by 2.6 years for 85. Thus, nursing prevention is an urgent issue, especially for women. The disorders requiring particularly long age-adjusted nursing time are carebrovascular disease (particularly cerebral infarction), dementia and skeletal disorders (particularly among women).

Age Factors↗
PubMed1996

[Life expectancy in Norway--an international perspective].

Contrasts in life expectancy among countries are an important input for defining targets for the health service and for setting priorities for disease prevention and health promotion. In this article, the trend in life expectancy in Norway is compared with the trend in a selection of other OECD countries. Standardised measures of life expectancy were collected from WHO and OECD statistics. In 1960 Norwegians ranged among the top three countries as regards life expectancy for both women and men. In 1990 Norwegians ranged tenth for women and ninth for men. Life expectancy was two years shorter for Norwegian than for Japanese women in 1990, corresponding to a 20% surplus mortality throughout life. Similar differences were found for men. If Japanese age specific death rates are applied to the Norwegian population, this corresponds to a reduction of 9,600 deaths this year. The relatively unfavourable trend in life expectancy in Norway relative to other OECD countries raises concern, and should be considered when designing the future health policy.

Adult↗
PubMed1997

Impact of HIV/AIDS on life expectancy in the United States.

OBJECTIVES: The potential gains in life expectancy of the US population by the partial and total elimination of deaths from HIV/AIDS were compared with that of deaths from heart disease and malignant neoplasms. METHODS: The data from the 1992 advanced mortality report and detailed information provided by the National Center for Health Statistics were analysed by using the partial multiple decrement life-table technique. RESULTS: For the total population of the United States in 1992, the gains in future life expectancy through the elimination of deaths from HIV/AIDS, heart disease and malignant neoplasms were 0.34, 3.25 and 3.21 years, respectively. The gains in life expectancy in those of working age 15-64 years) through the elimination of deaths from these three causes of deaths were 0.20, 0.40 and 0.55 years, respectively. Race/sex-specific calculations indicate that the total elimination of deaths from HIV/AIDS, heart disease and malignant neoplasms in white men of working age resulted in increased life expectancy of 0.28, 0.54 and 0.53, respectively, whereas the corresponding figures for black men were 0.82, 0.90 and 0.76 years, respectively. Although the impact of the elimination of the other causes remained relatively stable from 1987 to 1992, the potential gains in life expectancy for black men of working age by eliminating HIV/AIDS rose from 0.36 years in 1987 to 0.82 years in 1992. For the total US population of working age, the elimination of HIV/AIDS deaths resulted in increased life expectancy similar to that observed for a 50% reduction of heart disease or malignant neoplasms, whereas among black men of working age, the increased years of life expectancy from the elimination of HIV/AIDS deaths were virtually the same as those observed for the elimination of heart disease or malignant neoplasms. CONCLUSIONS: The potential gains in life expectancy by reduction of deaths from heart disease and malignant neoplasms are more heavily influenced by increasing years after the working ages (15-64 years), whereas the potential gains in life expectancy by reducing deaths from HIV/AIDS make a greater contribution to those of working age. Hence, in terms of the economic costs and benefits, these results indicate that in evaluating policy issues regarding allocation of research funds, studies of life expectancy are far more important than the simple approach which allocates funds on the basis of the number of deaths due to various diseases.

Acquired Immunodeficiency Syndrome↗
PubMed1997

What happened to life expectancy in Spain in the 1980s?

BACKGROUND: Life expectancy at birth in Spain improved between 1972 and 1982, by 2.5 years for males and 3.2 years for females. This slowed considerably in the following decade, with increases of only 0.5 and 1.7 years respectively. OBJECTIVE: To determine the causes of death that have been responsible for the failure by Spain to maintain in the 1980s and 1990s the rate of improvement in life expectancy seen during the 1970s. DESIGN: Data from WHO mortality tapes grouped in a series of clinically meaningful categories were used to calculate the contribution of each category, in five year age groups, to the changing life expectancy at birth in the two periods. SETTING: Spain. RESULTS: The trend in life expectancy at birth in Spain over this 20 year period can be considered to have two components, both with important consequences for public health policy. Underlying trends include a steady negative contribution from respiratory cancer in men and a reduction in cardiovascular disease. More recent trends include a considerable deterioration in deaths among young adults, most notably from accidents and, possibly, AIDS. CONCLUSION: The failure to maintain the rate of earlier gains in life expectancy in Spain can be attributed largely to a few conditions, although these may indicate less obvious underlying problems. These findings have important consequences for prioritising public health policies.

Accidents↗
PubMed1991

Healthy life expectancy: evaluation of global indicator of change in population health.

OBJECTIVE: To review and evaluate the usefulness of healthy life expectancy as a global indicator of changes in a population's health. DESIGN: Review of all known studies to date from the United States, mainland Europe, Canada, and the United Kingdom that have used Sullivan's method of calculating disability free life expectancy. MAIN OUTCOME MEASURES: Life expectancy and disability free life expectancy. RESULTS: Over the past decade the average healthy life expectancy was 60 years for men and 64 for women, with the proportion of years of disability ranging from 11% to 21% in men and from 14% to 24% in women. At the age of 65 men could expect eight years of disability free life and women 10, with the life expectancy being respectively 14 and 19 years. The difference between the wealthiest and poorest income quintiles was 6.3 years in life expectancy and 14.3 in disability free life expectancy for men and 2.8 and 7.6 respectively for women. These results suggest that disparities in health are greater between social groups than between the sexes. Diseases affect mortality and morbidity differently. The order of importance for affecting life expectancy was circulatory disease, cancer, and accidents and for disability free life expectancy, circulatory disease, locomotor disorders, and respiratory disorders. CONCLUSIONS: Healthy life expectancy is a valuable index for the appreciation of changes in both the physical and the mental health states of the general population, for allocating resources, and for measuring the success of political programmes. Future calculations should also take into account the probability of recovery and thus extend the applicability of the indicator to populations in poor health rather than focusing on the well population.

Age Factors↗