Trends in mean age at death by major causes in Japan standardized in terms of age structure of population.

The most important age structure represents an age structure of population. The results of census which was held on territory of the Republic of Serbia show that the Republic of Serbia is considered to be among the countries with the oldest population. In the last fifty year's time there was registered a constant decrease in number of young people, and constant increase in number of old people. During the period of the 80s, a number of young people from 0-14 years old was twice larger than the number of people older than 65, on the republic and the city of Belgrade's level, in the last census held in 2002 for the first time there was noticed a higher amount of people older than 65 related to population in an age from 0-14. An average old age of people in the Republic has grown from 35.8 to 40.3, and in Belgrade, which was always considered as a city of youth, it is noticed an increase in average old age from 34.9 to 40.4 years of age. Index of aging increased from 0.51 in the Republic of Serbia, 0.41 in Belgrade, to 1.01 or 1.07. In the Republic of Serbia and the city of Belgrade, for more than 50 years, the average size of household became smaller for more than one member, a number of single man households has increased for 5.5%, and participation of some old age groups in a structure of household members in a specific way shows a difficult demographic situation in Serbia and the city of Belgrade. Almost 83% of households in Central Serbia don't have even one pre-school child, and among households which have children at the age of 7, one child households form the majority. In the same period the number of households with members older than 65 has increased, so households like this in 2002 formed about 39%. Out of 435491 households in Serbia, every fifth household is named as OLD AGE HOUSEHOLD and SINGLE MAN HOUSEHOLD. .

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Dmitriy Mendeleev’s Forecasts of the Population of Russia. and the Realities of its Present Development

Population and Economics ◽

10.3897/popecon.2.e36054 ◽

2018 ◽

Vol 2 (3) ◽

pp. 1-41 ◽

Cited By ~ 1

Author(s):

T. Belova

Keyword(s):

Age Structure ◽

Information Technologies ◽

Statistical Data ◽

Russian Scientist ◽

Size And Age Structure ◽

Structure Of Population ◽

Demographic Processes ◽

Age Structure Of Population

In his last work “The Sacred Thoughts” an outstanding Russian scientist and encyclopedist Dmitri Ivanovich Mendeleev has explored demographic processes, acting as an economist and sociologist. The author of this article examines methodical approaches and tools, repeats and continues calculations of Mendeleev using modern data and information technologies. Comparing Mendeleev’s forecasts of the size and age structure of population of Russia with the modern statistical data, the author discusses the reasons for the “failure” of forecasts. The arsenal of modern demographic tools can be supplemented with Mendeleev’s idea on using the formula (law) of the vertical parabola in studying the age structure (the dependence between the size of the group and age).

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The requirements in medical rehabilitation of adult population of different age groups in hospital conditions

Health Care of the Russian Federation ◽

10.18821/0044-197x-2016-60-1-23-27 ◽

2019 ◽

Vol 60 (1) ◽

pp. 23-27

Author(s):

Nina S. Prilipko

Keyword(s):

Health Care ◽

Age Structure ◽

Adult Population ◽

Age Groups ◽

Medical Rehabilitation ◽

Age Group ◽

Structure Of Population ◽

Age Structure Of Population ◽

The Russian Federation ◽

Calculated Number

The study was carried out to determine requirements of adult population of Russia in medical rehabilitation in hospital conditions depending on age groups. To determine requirements of country population in medical rehabilitation in hospital conditions the age-specific indicators derived from data massive from three territories were standardized on population and morbidity in Russia in 2010. The number of hospitalized patients being in need of medical rehabilitation in hospital conditions was determined as indicator characterizing requirements of population in medical rehabilitation in hospital conditions. The age-specific requirements of adult population in medical rehabilitation in hospital conditions was determined and analyzed on the basis of number of cases of annual hospitalization for medical rehabilitation in hospital conditions according main classes and particular diseases. The largest number ofpatients being in need of medical rehabilitation in hospital conditions goes to elder age groups 60-69 years (874.7 cases per 10 000 of population) and 70 years and older (1346.3 cases per 10 000 of population). The least number of this kind of patients goes to age group of 18-29 years (106.2 cases per 10 000 of population). The proposed calculated number of cases of hospitalization of adult population for medical rehabilitation in hospital conditions can be implemented by executive authorities of subjects of the Russian Federation in health care sector of any territory for determining requirements ofparticular region in medical rehabilitation with consideration for age structure of population.

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The age gender structure of population of Goc and its foothill at the end of the 20th and the beginning of the 21st century

Glasnik srpskog geografskog drustva ◽

10.2298/gsgd1001237k ◽

2010 ◽

Vol 90 (1) ◽

pp. 237-256

Author(s):

Tamara Kovacevic ◽

Branislav Djurdjev ◽

Aleksandra Dragin

Keyword(s):

Spatial Distribution ◽

20Th Century ◽

21St Century ◽

Age Structure ◽

The West ◽

Structure Of Population ◽

Age Structure Of Population

The analysis of the age structure of population of Goc Mountain and its foothill is elaborated in the paper. Data in the paper refer to the second half of 20th century and to the beginning of the 21st century. There are many tasks of the paper. The first task is to represent and to compare the parameters of age structure of Goc and his foothill. The task of this paper is to present the parameters of the age structure of Goc Mountain and its foothill. Then, comparing them to identify and interpret trends in their movements. The paper shows the spatial distribution of the index of aging by cadastral municipalities. Factors that have influenced it are highlighted. Special attention is given to problems, which appear as a consequence of aging of population. Paper will contribute to enriching the knowledge about population and settlements of the Goc Mountain and the West Morava valley. .

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Prognosis of age structure and process of population ageing in Czech regions

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis ◽

10.11118/actaun200957060077 ◽

2009 ◽

Vol 57 (6) ◽

pp. 77-88

Author(s):

Jaroslav Dufek

Keyword(s):

Cluster Analysis ◽

Factor Analysis ◽

Age Structure ◽

Population Ageing ◽

Population Migration ◽

Growth Coefficient ◽

Structure Of Population ◽

Age Structure Of Population ◽

Standard Values ◽

Points Of View

We analyzed the age structure of population in Czech regions, assessed the differences in the levels of the regions’ population age, and based upon the quantification of assumed changes we assessed the pace of ageing up to 2050. The analysis does not include the population migration, and is based on the indicators “ratio of productive population” and “ageing index” based on the factor analysis of the indicators closely related to the age of population. By means of cluster analysis we arranged the regions according to both mentioned indicators into groups where we, to be able to compare the groups, used their standard values and mean growth coefficient. The pivotal result is the order of regions from the points of view of the level of population age in 2005 – 2050 and the pace of population ageing in the predicted period of time 2005 – 2050. For better illustration we made out graphs where the structure of regions according to the age of population and the process of ageing can be deduced.

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THE AGE GENDER AND CLINICAL ANAMNESTIC CHARACTERISTICS OF ATYPICAL CLINICAL FORMS OF ACUTE MYOCARDIUM INFARCTION

Medical Journal of the Russian Federation ◽

10.18821/0869-2106-2017-23-2-79-83 ◽

2017 ◽

Vol 23 (2) ◽

pp. 79-83

Author(s):

Sergey A. Okrugin ◽

A. A Garganeeva ◽

E. A Kuzheleva ◽

K. N Borel

Keyword(s):

Diabetes Mellitus ◽

Age Structure ◽

Age Groups ◽

Older Age ◽

General Tendency ◽

Clinical Forms ◽

Myocardium Infarction ◽

Structure Of Population ◽

Age Structure Of Population ◽

The Given

Purpose of study. To investigate age gender and clinical anamnestic characteristics of patients with atypical clinical forms of acute myocardium infarction.Materials and methods. The study was based on data of the WHO programs “The register of acute myocardium infarction”. The analysis comprised 836 cases of acute myocardium infarction. The atypical clinical forms of acute myocardium infarction were detected in 184 patients (18.7%). In the structure of atypical clinical forms of acute myocardium infarction the following alternatives were appropriated: asthmatic (32,6%), collaptoid (31,5%), abdominal (13.6%), arrhythmic (7.6%), peripheral (5.4%)б painless (4.9%) and cerebral (4.3%).Results of study. The most of the males (62.5%) found themselves in the group of patients with abdominal form of acute myocardium infarction and most of the females in the group with cerebral form of acute myocardium infarction. In all analyzed groups the individuals older than 60 years prevailed. In the group of patients with cerebral form were most of the individuals underwent earlier acute myocardium infarction (50.0%). The diabetes mellitus most frequently was registered in individuals with painless acute myocardium infarction (55.5%). In all cases, course of acute myocardium infarction was complicated. Under atypical clinical forms of acute myocardium infarction higher lethality was registered and in groups with arrhythmic and cerebral forms it reached 100%.The conclusion. The whole group of patients with atypical clinical forms of acute myocardium infarction was presented by over-age contingent, severe in clinical, anamnestic and prognostic layouts. The unsatisfactory diagnostic of atypical clinical forms of acute myocardium infarction resulted in higher lethality of the given group of patients. With regard to that a general tendency of alteration of age structure of population of Russia is a steady increasing of percentage of individuals of older age groups t5he rate of occurrence of atypical clinical forms of acute myocardium infarction will regularly increase.

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Primates (Symphalangus syndactylus syndactylus, Macaca nemestrina, Macaca fascicularis) Population in the Ape Park Tourist Area Forest for Special Purpose of Aek Nauli

E3S Web of Conferences ◽

10.1051/e3sconf/20187304018 ◽

2018 ◽

Vol 73 ◽

pp. 04018

Author(s):

Johni Arisantana Barus ◽

Jafron Wasiq Hidayat ◽

Maryono Maryono

Keyword(s):

Population Size ◽

Age Structure ◽

Macaca Fascicularis ◽

Population Data ◽

Macaca Nemestrina ◽

Agricultural Pests ◽

Symphalangus Syndactylus ◽

Structure Of Population ◽

Age Structure Of Population ◽

North Sumatra

Forest for special purpose of Aek Nauli is an highland rainforest as habitat for primates and tourism area in Marsose, Sibaganding Village, Simalungun, Lake Toba Geopark in North Sumatra. As an endangered and protected species, siamang (Sympalangus syndactylus syndactylus) in the same habitat as pig-tailed macaque (Macaca nemestrina) and long-tailed macaque (Macaca fascicularis). Nowadays, the siamang population is declining due to the conversion of forest to non-forests, forest fragmentation and illegal trade. Long-tailed macaque and pig-tailed macaque are agricultural pests that are economically harmful to communities around the forest. The primate population data is needed as input for the sustainable management strategy by stakeholders to further preserve forest areas and primate populations. This study was carried out for 3 months from May to July 2018. To determine the number of primate populations performed by the concentrated area method. Estimates of primate populations are: A. Siamangs; 1 group with 3 individuals, population size 0.06. Age structure of population 1 juvenile 1, 2 adults. B. Pig-tailed macaque; 3 groups with 65 individuals, population size 1.1. The age structure is 17 tillers, 17 adolescents and 31 adults. C. Long-tailed macaque; 3 groups with 23 individuals, population size 0.5. Age structure of 5 tillers, 7 adolescents and 11 adults.

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