scholarly journals The Relationship and Trends of Socio-Demographic Index, Healthy Life Expectancy and Life Expectancy in China

2019 ◽  
Author(s):  
Xin-lei Miao ◽  
Xiu-hua Guo ◽  
Yue Cai ◽  
Xiang Zhang ◽  
Qun Meng
Keyword(s):  
Life Expectancy ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
The Relationship

scholarly journals 213Traditional Japanese Diet Score and healthy life expectancy - a longitudinal global study

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Tomoko Imai ◽  
Ayako Sezaki ◽  
Keiko Miyamoto ◽  
Chisato Abe ◽  
Fumiya Kawase ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Rate Of Change ◽  
Healthy Life Expectancy ◽  
Mixed Effect ◽  
Healthy Life ◽  
Global Database ◽  
Food Components ◽  
The Relationship ◽  
Diet Score ◽  
Japanese Diet

Abstract Background Traditional Japanese diets are considered to be health and longevity. We created a Traditional Japanese Diet Score (TJDS) and investigated the relationship between the TJDS and healthy life expectancy (HALE) longitudinally using global database. Methods Average food (g/day/capita) and energy supply (kcal/day/capita) by countries were identified by the Food and Agriculture Organization of the United Nations Statistics Division database. The sum of characterizing traditional Japanese foods supply (beneficial food components in Japanese diet; rice, fish, soybeans, vegetables, eggs, seaweeds, food components not use so much in Japanese diet; wheat, milk, and red meat) were divided as tertile (beneficial food components;-1, 0, 1, not use so much food components; 1, 0, -1). HALE values by country were derived from the Global Burden of Disease 2017 database. The longitudinal effects of TJDS on the rate of change in HALE from 1990 to 2013 were evaluated using a generalized mixed-effect model (GLMM), which takes into account the dependence of repeated observations within countries. The interaction between TJDS and survey year was applied to access the effects on HALE. This study covered 137 countries with populations of 1 million or greater. Results Longitudinal analysis controlled for covariates showed that smooth term of the interaction between TJDS and survey year was significant (p < 0.001). The TJDS was negative associated with HALE in 1990, and in 1991, but positive associated after 2002. Conclusions The relationship between the TJDS as a healthy eating style and HALE is getting stronger since the 21st century. Key messages Well-balanced eating habits of traditional Japanese diets is supports healthy life expectancy.

Address by the President of the Faculty of Actuaries. Respecting the Past, Creating the Future

2007 ◽  
Vol 13 (1) ◽  
pp. 23-40
Author(s):  
John Stewart Russell Ritchie
Keyword(s):  
Life Expectancy ◽  
Presidential Address ◽  
Faculty Members ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
150Th Anniversary ◽  
The Past ◽  
The Future ◽  
The Media ◽  
The Relationship

ABSTRACTThis Presidential Address is delivered towards the end of the 150th anniversary year of the Faculty of Actuaries, and is timed to coincide with the International Actuarial Association and Groupe Consultatif holding meetings in Edinburgh. It deals with the growing globalisation of the Profession, reviews the key developments arising out of the Morris Review and the implications of current changes. It then moves on to examine communication and the role the Profession can play with the media. A comparison between actuarial practice in life and pensions follows, with suggestions for a closer alignment between pension expectation and pension reality. Comment is made about the prospects for healthy life expectancy. Finally, the relationship between the Faculty and the Institute of Actuaries is debated, and a consultation with Faculty members is launched.

scholarly journals The Relationship and Trends of Socio-Demographic Index, Healthy Life Expectancy and Life Expectancy in China

2020 ◽  
Author(s):  
Xinlei Miao ◽  
Xiuhua Guo ◽  
Yue Cai ◽  
Xiang Zhang ◽  
Qun Meng
Keyword(s):  
Life Expectancy ◽  
Population Health ◽  
Matrix Analysis ◽  
Healthy Life Expectancy ◽  
Strong Positive Correlation ◽  
Adult Health ◽  
Fertility Rates ◽  
Healthy Life ◽  
The Government ◽  
The Relationship

Abstract Background Socio-Demographic Index (SDI) is an index to evaluate social development. Healthy life expectancy (HLE/HALE) can comprehensively measure the population health. This paper analyzes the relationship and trend of Socio-Demographic Index, life expectancy (LE) and healthy life expectancy, which provides a reference for improving population health. Methods We used R Studio (version 1.2.5033) for correlation matrix analysis of SDI, HALE and LE. Meanwhile, we divided provinces into 3 regions according to the 2019 Chinese Health Statistics Yearbook and analyzed the distribution by ArcGIS 10.5 of healthy life expectancy and SDI of 31 provinces and cities in China.Results From 1990 to 2016, socio-demographic, life expectancy and healthy life expectancy showed a gradual increasing trend, and the level in eastern provinces were higher than western provinces in China. There is a correlation between socio-demographic (included its composition that education for aged 15 and older, Gross Domestic Product and total fertility rates under the age of 25), healthy life expectancy and life expectancy. Total fertility rates under the age of 25 has a negative correlation with other variables.Conclusions There is a strong positive correlation between healthy life expectancy, life expectancy and socio-demographic index. The government should consider take the implementation of personalized policies to steadily improve the development of SDI, at the same time to improve healthy life expectancy from improving maternal health and reducing infant mortality, paying attention to adult health, reducing the early death rate of chronic diseases.

scholarly journals Exercise or sports in midlife and healthy life expectancy: an ecological study in all prefectures in Japan

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Takafumi Monma ◽  
Fumi Takeda ◽  
Haruko Noguchi ◽  
Hideto Takahashi ◽  
Taeko Watanabe ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Positive Impact ◽  
Healthy Life Expectancy ◽  
Elderly Persons ◽  
Middle Aged ◽  
Healthy Life ◽  
Explanatory Variables ◽  
Using Data ◽  
The Relationship

Abstract Background With the increase of overall life expectancy in Japan, effective and beneficial lifestyle approaches and practices are crucial for individuals to have a long, productive and healthy life. Although previous studies suggest that exercise or sports, especially when performed with others, from midlife level have a positive impact on enhancing healthy life expectancy, there is paucity of information regarding these contexts and possible associations. The present study intends to clarify the relationship between engagement in exercise or sports among middle-aged persons and healthy life expectancy through an ecological study in all prefectures in Japan. Methods We tabulated (1) the ratios of middle-aged individuals engaged in exercise or sports and (2) the different methods by which they are engaged in exercise or sports for each prefecture by using data from the 2005–2010 Longitudinal Survey of Middle-aged and Elderly Persons by the Ministry of Health, Labour and Welfare of Japan. Weighted multiple linear regression analyses were performed by sex, using healthy life expectancy in 2010 of each prefecture calculated by Hashimoto (2013) as a criterion variable; indices of (1) and (2) of each year as explanatory variables; and age, living conditions, employment, and chronic diseases as adjusted variables. Results For middle-aged males, the ratio of those engaged in exercise or sports in each year from 2005 to 2010 was positively correlated with healthy life expectancy; this relationship was found in the ratio of middle-aged engaging in exercise or sports “with families or friends”. For females, such a relationship could only be found in the ratio of middle-aged females engaged in exercise or sports in 2008, and those engaging in exercise or sports “with families or friends” in 2006, 2008 and 2010. Conclusion Prefectures with a higher ratio of middle-aged individuals engaging in exercise or sports, especially when done with families or friends, have longer healthy life expectancies. This was particularly evident for males. Thus, exercise or sports with families or friends in midlife seems to be more effective in promoting healthy life expectancy for males than females in Japan.

scholarly journals The Relationship and Trends of Socio-Demographic Index, Healthy Life Expectancy and Life Expectancy in China

2020 ◽  
Author(s):  
Xinlei Miao ◽  
Xiuhua Guo ◽  
Yue Cai ◽  
Xiang Zhang ◽  
Qun Meng
Keyword(s):  
Life Expectancy ◽  
Population Health ◽  
Elderly Women ◽  
The Elderly ◽  
Development Trend ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Positive Correlation ◽  
The Relationship ◽  
D Value

Abstract Background Socio-Demographic Index is an index to evaluate social development. Healthy life expectancy can comprehensively measure the population health. This paper indirectly infers the relationship between SDI and HALE, which provides a reference for improving population health. Methods We used SAS 9.4 to analyze the relationship between SDI and LE, and the development trend of SDI and LE in 1990-2010. Meanwhile, we divided into 3 regions according to the 2019 Chinese Health Statistics Yearbook. Results From 1990 to 2010, SDI and LE showed a trend of gradually increasing from west to East. In the regression analysis of SDI and LE,r=0.90335，P<0.0001, meaning that there was a positive correlation between SDI and LE. The D value of men was lower than that of women. Among the five SDI levels, the high SDI level usually had higher LE, so the D value was relatively high. However, in the middle SDI and low-middle SDI areas, the results showed the opposite situation. The SDI in India is lower than that in China, and the D value of female in China is higher than that in India, which indicates that Chinese elderly women have a long life with disease and disability. Conclusions Socio-Demographic Index has a positive correlation with life expectancy and healthy life expectancy. Therefore, we can consider improving healthy life expectancy from the components of SDI to improve the healthy level of the population. At the same time, we should pay more attention to the care of the elderly population.

DIAGNOSTICS OF THE CURRENT STATE OF HEALTHCARE IN RUSSIA

2020 ◽  
Vol 15 (5) ◽  
pp. 35-55
Author(s):  
N.P. STARYKH ◽  
◽  
A.V. EGOROVA ◽  
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Statistical Data ◽  
Secondary Analysis ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Federal State ◽  
Sociological Research ◽  
Healthy Life ◽  
Current State

The purpose of the article is to analyze the current state of healthcare in Russia. Scientific novelty of the study: the authors suggest that the efficiency of the health care system depends on the state of such indicators of public health as life expectancy and healthy life expectancy. Life expectancy is an integrated demographic indicator that characterizes the number of years that a person would live on average, provided that the age-specific mortality rate of a generation would be at the level for which the indicator was calculated throughout life. The indicator ‘healthy life expectancy’ is formed by subtracting the number of years of unhealthy life (due to chronic diseases, disabilities, mental and behavioral disorders, etc.) from the life expectancy indicator. Results: the article presents an analysis of the current state of Russian healthcare based on statistical data provided by the Federal State Statistics Service, the World Health Organization, and world rankings. Attention is focused on the perceptions of Russians about the quality of medical services and Russian healthcare. Conclusions about the current state of health care in Russia are formulated by the authors, based on a secondary analysis of statistical data, as well as data from sociological research presented by leading Russian sociological centers.

scholarly journals Changing Educational Gradients in Life Expectancy With and Without Disease Among U.S. Older Adults From 2000 to 2010

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 505-505
Author(s):  
Matthew Farina ◽  
Phillip Cantu ◽  
Mark Hayward
Keyword(s):  
Older Adults ◽  
Life Expectancy ◽  
Chronic Diseases ◽  
Population Aging ◽  
Good Health ◽  
Vital Statistics ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Education Group ◽  
Education Groups

Abstract Recent research has documented increasing education inequality in life expectancy among U.S. adults; however, much is unknown about other health status changes. The objective of study is to assess how healthy and unhealthy life expectancies, as classified by common chronic diseases, has changed for older adults across education groups. Data come from the Health and Retirement Study and National Vital Statistics. We created prevalence-based life tables using the Sullivan method to assess sex-specific life expectancies for stroke, heart disease, cancer, and arthritis by education group. In general, unhealthy life expectancy increased with each condition across education groups. However, the increases in unhealthy life expectancy varied greatly. While stroke increased by half a year across education groups, life expectancy with diabetes increased by 3 to 4 years. In contrast, the evidence for healthy life expectancy provides mixed results. Across chronic diseases, healthy life expectancy decreased by 1 to 3 years for respondents without a 4-year degree. Conversely, healthy life expectancy increased for the college educated by .5 to 3 years. While previous research shows increases in life expectancy for the most educated, trends in life expectancy with chronic conditions is less positive: not all additional years are in lived in good health. In addition to documenting life expectancy changes across education groups, research assessing health of older adults should consider the changing inequality across a variety of health conditions, which will have broad implications for population aging and policy intervention.

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