Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy

Purpose:Exploring a dimensionality reduction model that can adeptly eliminate outliers and select the appropriate number of clusters is of profound theoretical and practical importance.Additionally,the interpretability of these models presents a persistent challenge.Design/methodology/approach:This paper proposes two innovative dimensionality reduction models based on integer programming(DRMBIP).These models assess compactness through the correlation of each indicator with its class center,while separation is evaluated by the correlation between different class centers.In contrast to DRMBIP-p,the DRMBIP-v considers the threshold parameter as a variable aiming to optimally balances both compactness and separation.Findings:This study,getting data from the Global Health Observatory(GHO),investigates 141 indicators that influence life expectancy.The findings reveal that DRMBIP-p effectively reduces the dimensionality of data,ensuring compactness.It also maintains compatibility with other models.Additionally,DRMBIP-v finds the optimal result,showing exceptional separation.Visualization of the results reveals that all classes have a high compactness.Research limitations:The DRMBIP-p requires the input of the correlation threshold parameter,which plays a pivotal role in the effectiveness of the final dimensionality reduction results.In the DRMBIP-v,modifying the threshold parameter to variable potentially emphasizes either separation or compactness.This necessitates an artificial adjustment to the overflow component within the objective function.Practical implications:The DRMBIP presented in this paper is adept at uncovering the primary geometric structures within high-dimensional indicators.Validated by life expectancy data,this paper demonstrates potential to assist data miners with the reduction of data dimensions.Originality/value:To our knowledge,this is the first time that integer programming has been used to build a dimensionality reduction model with indicator filtering.It not only has applications in life expectancy,but also has obvious advantages in data mining work that requires precise class centers.

New Characteristics of Active Life Expectancy of the Elderly in China

Life expectancy of the elderly is a significant problem in China, and it changes not only the health care, but also the pension. This study used tracking data from the Chinese Urban and Rural Elderly Population Survey to calculate the age-specific Active Life Expectancy (ALE) of the Chinese elderly population aged 60 years and over. For analysis, this population was divided into different sub-populations according to gender, census register and region. The main conclusions of our study are as follows: 1) The quality of life for elderly males may be greater than that for elderly females;2) There were significant differences in Active Life Expectancy (ALE) and Inactive Life Expectancy (ILE) between urban and rural elderly;3) The differences in ALE between the eastern, central and western regions of China were not significant;and 4) The increased remaining life expectancy of the elderly was mainly attributed to the extended ALE in the lower age group and the expanded ILE in the higher age group. This study expands the knowledge of Chinese elderly’s life expectancy in different health status.

Impact of Cardiovascular Disease Deaths on Life Expectancy in Chinese Population

Objective We aimed to analyze the impact of cardiovascular disease （CVD） deaths on life expectancy （LE） in Chinese population and estimate the percentage reduction in CVD mortality needed to increase LE by 1 year from the current level, a national target of health improvement. Methods We used life tables, cause-elimination life tables, and age decomposition of LE with corrected mortality data from the National Disease Surveillance System in 2010. Results LE at birth of Chinese people was 73.24 years in 2010. Women had a longer LE than men, and urban population had a longer LE than rural population. CVD deaths resulted in a 4.79-year LE loss and premature deaths in people aged 25 to 64 years were responsible for a substantial part of LE loss from CVD. Death from ischemic heart disease and cerebrovascular diseases accounted for 69.2% of LE loss from CVD deaths and death from cerebrovascular diseases was the largest contributor. In rural men, 51.1% LE loss from CVD deaths was caused by cerebrovascular diseases. If there were no changes in mortality rates for all other diseases, a 27.4% reduction in CVD mortality would increase LE by i year in Chinese population. Conclusion There is a considerable impact of CVD deaths on LE. A 1-year LE increase in the future requires at least a 27.4% reduction in CVD mortality from the current level. Targeting the rural population and tackling cerebrovascular diseases are important for reaching the national goal of health improvement.

Key Social Determinants to Narrow the Gap between Health-adjusted Life Expectancy and Life Expectancy in Megacities

Objective Improvement in the quality of life is reflected in the narrowing of the gap between healthadjusted life expectancy(HALE)and life expectancy(LE).The effect of megacity expansion on narrowing the gap is rarely reported.This study aimed to disclose this potential relationship.Methods Annual life tables were constructed from identified death records and population counts from multiple administrative sources in Guangzhou,China,from 2010 to 2020.Joinpoint regression was used to evaluate the temporal trend.Generalized principal component analysis and multilevel models were applied to examine the county-level association between the gap and social determinants.Results Although LE and HALE in megacities are increasing steadily,their gap is widening.Socioeconomic and health services are guaranteed to narrow this gap.Increasing personal wealth,a growing number of newborns and healthy immigrants,high urbanization,and healthy aging have helped in narrowing this gap.Conclusion In megacities,parallel LE and HALE growth should be highly considered to narrow their gap.Multiple social determinants need to be integrated as a whole to formulate public health plans.

Evaluation of Impact of Major Causes of Death on Life Expectancy Changes in China,1990-2005

Objective To evaluate the impact of major causes of death on changes of life expectancy in China. Methods Life expectancy was calculated by standard life table techniques using mortality data from the national censuses in 1990 and 2000 and the 1% National Population Sampling Surveys in 1995 and 2005, Mortality data about the major causes of death from VR-MOH were used as reference values to estimate their death proportions of the specific age groups by sex and regions, as well as all-cause mortality and age-specific mortality rates of major causes of death. Decomposition method was used to quantitatively evaluate the impact. Results Three key findings were identified in our study. First, China's health challenge was shifted from diseases related to living conditions to those related to behavior and lifestyle, with rural areas relatively lagged behind urban areas, Second, the impacts of cardiovascular diseases and neoplasm on the middle aged and elderly population were stressed. Third, compared to the urban population, the rural population tended to have increasing mortality of neoplasm and cardiovascular diseases, especially in adults at the age of 15-39 years. Conclusion Further efforts should be made to reduce the incidence of neoplasm and cardiovascular diseases, especially in rural areas, by promoting healthy behavior and lifestyle and providing appropriate therapies for all patients in need.

Impact of Cerebrovascular Disease Mortality on Life Expectancy in China

Objective To evaluate the impact of cerebrovascular disease mortality on life expectancy （LE） in China in 2010 compared with 2005, and to identify the high-risk population （age, sex, and region） where cerebrovascular disease mortality has had a major impact on LE. Methods LE and cause-eliminated LE were calculated by using standard life tables which used adjusted mortality data from the Death Surveillance Data Sets in 2005 and 2010 from the National Disease Surveillance System. Decomposition was used to quantitate the impact of cerebrovascular disease in different age groups. Results LE in China was 73.24 years in 2010, which was higher in women and urban residents compared with men and rural residents. The loss of LE caused by cerebrovascular disease mortality was 2.26 years, which was higher in men and rural residents compared with women and urban residents. More than 30% of the loss of LE were attributed to premature death from cerebrovascular disease in people aged 〈65 years. Compared with 2005, LE in 2010 increased by 0.92 years. The reduction of cerebrovascular disease mortality in urban residents contributed 0.45 years to the increase of LE, but the increase of cerebrovascular disease mortality caused a 0.12-year loss of LE in rural residents. Conclusion Cerebrovascular disease mortality had a major impact on LE in China, with a significant difference between urban and rural residents. LE is likely to be further increased by reducing cerebrovascular disease mortality, and special attention should be paid to reducing premature deaths in people aged 〈65 years.

Nurse staffing and life expectancy at birth and at 65 years old:Evidence from 35 OECD countries

Objective: To measure the possible magnitude of the role nurse staffing has on increasing life expectancy at birth and at 65 years old.Methods: The statistical technique of panel data analysis was applied to investigate the relationship from the number of practicing nurses' density per 1000 population to life expectancy at birth and at 65 years old.Five control variables were used as the proxies for the levels of medical staffing,health care financial and physical resources,and medical technology.The observations of 35 member countries of Organization for Economic Co-operation and Development (OECD) were collected from OECD Health Statistics over 2000-2016 period.Results: There were meaningful relationships from nurse staffing to life expectancy at birth and at 65 years with the long-run elasticities of 0.02 and 0.08,respectively.Overall,the role of nursing characteristics in increasing life expectancy indicators varied among different health care systems of OECD countries and in average were determined at the highest level in Japan (0.25),followed by Iceland (0.24),Belgium (0.21),Czech Republic (0.21),Slovenia (0.20) and Sweden (0.18).Conclusion: A higher proportion of nursing staff is associated with higher life expectancy in OECD countries and the dependency of life expectancy to nursing staff would increase by aging.Hence,the findings of this study warn health policy makers about ignoring the effects nursing shortages create e.g.increasing the risk of actual age-specific mortality,especially in care of elderly people.

The Nationwide Impact of Injury-related Deaths on Average Life Expectancy in China

To expand the evidence base to inform future public policy aimed at accident prevention, we investigated the impact of different categories of injury on average life expectancy in China. We used data from the National Death Cause Registration Information System and National Maternity and Children Health Surveillance databases, as well as 2010 population data from the National Bureau of Statistics. We then calculated the average life expectancy of the Chinese population, in addition to life expectancy after eliminating injury-related mortality. The average life expectancy of the Chinese population in 2010 was 74.93 years. After eliminating deaths due to injuries, the fourth leading cause of mortality in China, average life expectancy increased by 1.36 years. When this was broken down by population sub-groups, these gains were 1.76 and 0.79 years in men and women, 0.94 and 1.56 years in urban and rural residents, and 1.11, 1.30, and 1.67 years for residents in the Eastern, Central and Western regions respectively. After eliminating all categories of injury, the average life expectancy of the Chinese population was found to increase by 1.36 years. This figure was higher for males and residents of rural areas and Western China.

Average life expectancy of the Chinese population in 1949-2019: trends, contributors and prospects

This paper provided an overview of literature on life expectancy of Chinese popu-lation,elaborated the characteristics of the significant increase in the average life expectancy(ALE)of Chinese population over the past 70 years since the founding of PRC,analyzed the major factors contributing to the improvement in the ALE,and highlight the needs to put greater emphasize to increase average healthy life expectancy(AHLE),to narrow the regional differences in AHLE,to advocate and promote healthy lifestyles,and to prevent and control pollution persistently and effectively.

Impact of Long-term Exposure to Air Particulate Matter on Life Expectancy and Survival Rate of Shanghai Residents

Objective To evaluate the impact of long-term air particulate matter exposure on the life expectancy and survival rate of Shanghai residents. Methods Epidemiology - based exposure-response function was used for the calculation of attributable deaths to air particulate matter in Shanghai, and the effect of long-term exposure to particulate matter on life expectancy and survival rate was estimated using the life table of Shanghai residents in 1999. Results It was shown that in 1999, the long-term air particulate matter exposure caused 1.34-1.69 years reduction of life expectancy and a decrease of survival rate for each age group of Shanghai residents. Conclusion The effect of long-term exposure to air particulate matter on life expectancy is substantial in Shanghai.

Reduced Life Expectancy Model Analyses of Exposure Time Effects of Endocrine Disruptors to Teleost Fishes Based on Effect Concentration of Hepatic Biomarkers

In this current paper, the exposure time effects on four endocrine disruptors and teleost fishes were evaluated using the reduced life expectancy (RLE) model based on the effect concentration (EC50) of available literature published. The result on the regression analysis over different exposure times has demonstrated that the EC50 of hepatic biomarkers falls with increasing exposure times in a predictable manner. The slopes of the regression equations reflect the strength of the toxic effects on the various teleost fish. The EC50 reduction over time can be interpreted based on the bioconcentration process, which can be used to understand transfer routes of the compounds from water to fish body. RLE model also provides useful information in assessing the toxic effects on fish life expectancy as a result of the occurrence of compounds.

Progress in Research of Nutrition and Life Expectancy

Life expectancy is an important indicator to evaluate the social development of a country. Health and longevity can not only improve people＇s life quality but also ensure them to have more time to pursue their life goal. A one-year increase in life expectancy during ＇China＇s Twelfth Five-Year Economic and Social Development Plan＇ period has been used as an indicator to evaluate whether the goal of improving people＇s living standards continuously is met. Nutrition is one of the important factors affecting people＇s health. Both malnutrition and overnutrition are risk factors for disease and death. Many studies of the relationship between nutrition and life expectancy have been conducted in the world, and the results of them are quite valuable for China to improve people＇s life expectancy by targeted nutrition intervention strategy. This paper summarizes the progress in research of nutrition and life expectancy in the world.

Test of Ordered Multivariate Discrete Selection Model for Average Life Expectancy

At present, there are significant regional differences in average life expectancy among countries in the world. Not only is there a great disparity in average life expectancy, but also the gender difference is positive and negative, and is distributed in a bipolar distribution of “long life in rich countries and short life in poor countries”. This paper analyzes the factors affecting the life grade by using the ordered multivariate discrete selection model and combined with the average life expectancy data of countries all over the world in 2017. The test results show that: 1) The growth of per capita GDP, elderly dependency ratio and the proportion of people using at least basic drinking water services can effectively improve the level of life expectancy;2) The birth rate has an inhibitory effect on the average life expectancy;3) Through model comparison, probit model is more suitable for the analysis of this kind of problems than logit model, and the properties of the obtained model are better.

Implementation Path and Development Trend of Green Buildings Based on Life Cycle Management

In response to the Beautiful China development strategy,in accordance with the"applicable,economical,green and beautiful"architectural policy of the new era,green buildings have been continuously optimized and popularized.Based on the life cycle theory,from the multi-dimensional perspectives of policy,building materials,construction,design,evaluation standards,operation,etc.,this paper studied the implementation path and development trend of green buildings.It discussed the main implementation paths and restrictive factors of green buildings,and provided solutions and development directions.It mainly elaborated the influencing factors and development direction of green buildings,in order to provide a documentary support for the development of green building industry,and provide a certain reference for the ecological civilization construction of beautiful China.

Temporal trend in mortality of cardiovascular diseases and its contribution to life expectancy increase in China, 2013 to 2018

Backgrounds::Cardiovascular disease(CVD)remains the leading cause of deaths nationwide.However,little is understood about its temporal trend and corresponding influence on longevity improvements.We aimed to describe the updated tendency in CVD mortality and to quantify its impact on life expectancy(LE)increase in China.Methods::All-cause mortality rates were calculated with population sizes from the National Bureau of Statistics and death counts from the National Health Commission.We estimated CVD mortality rates by allocating age-and sex-based mortality envelopes to each CVD subtype based on its proportion derived from the Disease Surveillance Points system.The probability of CVD premature deaths and LE were calculated with life tables and we adopted Arriaga’s method to quantitate age-and cause-specific contributions to LE gains.Results::During 2013 to 2018,the age-standardized mortality rate of CVD decreased from 289.69(95%confidence interval[CI]:289.03,290.35)/100,000 to 272.37(95%CI:271.81,272.94)/100,000,along with a decline in probability of CVD premature deaths from 9.05%(95%CI:9.02%,9.09%)to 8.13%(95%CI:8.10%,8.16%).The gap in CVD mortality across sexes expanded with more remarkable declines in females,especially for those aged 15 to 64 years.Among major subtypes,the probability of premature deaths from hemorrhage stroke declined fastest,while improvements of ischemic stroke and ischemic heart disease were limited,and there was an increase in stroke sequelae.LE in China reached 77.04(95%CI:76.96,77.12)years in 2018 with an increase of 1.38 years from 2013.Of the total LE gains,21.15%(0.29 years)were attributed to reductions of CVD mortality in the overall population,mostly driven by those aged>65 years.Conclusions::The general process in reducing CVD mortality has contributed to longevity improvements in China.More attention should be paid to prevention and control of atherosclerotic CVD and stroke sequelae,especially for the elderly.Working-age males also deserve additional attention due to inadequate improvements.

The changing trend of life expectancy for the Chinese elderly and its rural-urban disparity

Using data from Population Censuses,1%National Population Sample Surveys of China and the Human Mortality Database,this article adopts robust percentile-based methods to analyze the changing trend of life expectancy of the Chinese elderly especially the young-old and rural-urban disparity from 1989 to 2015,and attempt to explain the disadvantage of old-age mortality improvement in China compared to developed countries.We find that life expectancy at age 65 in China has increased continuously in recent decades,but at a lower speed than in developed countries,leading to a widening gap between China and developed countries,and the increase in e65 has not shown a clear catch-up trend that has been observed in the life expec-tancy at birth.Similar patterns are found when we explore the rural-urban disparity of China.Based on the age-at-death distribution,we find that the old-age deaths in rural areas are more concentrated at relatively younger ages compared to urban areas due to the higher death risks and slower improvement in mortality of the young-old in rural China.Our findings describe the age-patterns underlying the rural-urban disparity in life expectancy of the elderly within China,and also the main reason for the slower improvement of life expectancy among the Chinese elderly compared with those in developed countries.Survival improvement of the young-old and equalization of available health services are key to reducing the rural-urban bias and achieving accelerated increase in life expectancy among the elderly in China.

Sustaining Increase in Life Expectancy in Africa Requires Active Preventive Measures against Non-Communicable Diseases

It is projected that aged population (≥60 years) will continue to increase globally, including in Africa. This is due to reduced population growth, decreased fecundity and improved medical interventions;factors which increase life expectancy. While this is typical for developed countries, it is not the same for Africa and similar developing regions. In these regions, a significant proportion of death is due to non-communicable diseases (NCD’s) such as hypertension, cerebrovascular accident, coronary heart disease, diabetes mellitus, chronic renal disease and cancer, among others. Rising prevalence of NCD’s due mainly to western style diets and sedentary living is made worse by inadequate nutrition education, high prevalence of low birth weight, poor health services, lack of efficient tobacco control and deficient planning of built environment. In order to halt the possible reduction in life expectancy occasioned by NCD’s, efforts by the community, health planners and governments in Africa to address relevant NCD’s, must be put in place. Suggested measures are: nutrition education, regular community directed physical exercise, improved environmental planning and development. Others are review of present health service model, early detection, prevention and treatment of NCD’s, including improved antenatal care to reduce low birth weights, and establishment of policies and measures that decreased access to tobacco especially by women of childbearing age. Africa and similar developing regions cannot fund the health bill due to NCD’s and their complications;hence it is important that this scourge is attended to with all seriousness.

The Direction of Research on Active Aging and Healthy Life Expectancy in Japan

In Japan, 18.1% of the population known as baby-boomers will become the late-stage elderly in 2025, thereby needing a foundation to support this change. The Japanese Ministry of Health, Labour and Welfare is promoting the development of a regional comprehensive system allowing the elderly to continue living in their familiar surroundings. However, a care shortage is inevitable unless elders are able to age in good health, regardless of the system’s level of enhancement. This study aims to review the literature on active aging, clarify trends in clinical operations undertakings and research in Japan, and consider relevant research issues. After combining the search results of “active aging” and “healthy life expectancy,” we used a text mining technique to analyze the abstracts of 120 original articles and 213 reviews, commentaries, and features. Eight categories were extracted from the original articles: health statistics, gender, age, etc. From the reviews, commentaries, and features, 16 categories were extracted: orientation, disease, and living, etc. Cerebrovascular disease and osteoporosis were the most common diseases covered in the original articles;there has been a substantial amount of research on “active aging” and “healthy life expectancy” because they can easily lead to being bedridden and to a decrease in QOL. In the reviews, commentaries, and features, lifestyle-related diseases and menopause rather than cerebrovascular disease and osteoporosis, were extracted. The categorical differences found in the original articles may be due to the possibility that Japanese researchers are publishing their research abroad rather than in Japan or they submit research on topics that are guaranteed to be published at home or abroad. Little research has been conducted using the terms, “active aging” and “healthy life expectancy,” evidenced by the small number of studies generated. Preparations for 2025 will require an increase in the number of studies from the perspective of “active aging” and “healthy life expectancy.”

Prognostic Nutritional Index Predicts Life Expectancy of Patients with End-Stage Oral Cancer: A Retrospective Study

Background: Generally, clinicians do not accurately estimate life expec-tancy in terminally ill patients with cancer. Aim: To evaluate the value of the Prognostic Nutritional Index (PNI) for accurately estimating the life expectancy of patients with end-stage oral cancer. Design: A longitudinal section study. Setting/participants: Fifteen patients (12 men;mean age: 71.7 years) who died of oral cancer between 2005 and 2014 (the terminal group) were included. The mean PNI values at the initial visit and at 3, 2, and 1 months before the deaths were comparatively analyzed. Results: The mean follow-up period was 133 days. At the initial examination, the PNI values were 49.1 ± 4.5 (p = 0.6723). The PNI value of the terminal group was 35.6 ± 5.1 at 2 months before death and 28.6 ± 3.0 at 1 month before death. The PNI values at 3, 2, and 1 months before death in the terminal group significantly differed from each other and from that at the initial visit and steadily decreased until death. Conclusions: Our findings suggest the utility of PNI as a prognostic index in patients with end-stage oral cancer patients. Furthermore, the PNI should be routinely considered in the nutritional management of patients with oral cancer nearing death.

Fitness in the Park Physical exercise is widely believed to raise life expectancy

The Chinese live longer on average!That’s what I’ve often read in books or heard in documentaries about China.And there is a good reason for that,as the Chinese strive to do sports regularly while having a balanced diet.This is what I saw during my stay in Beijing,capital of China,where I have lived since the end of last February.