scholarly journals Prediction of neonatal and maternal index based on development and population indicators: a global ecological study

2021 ◽  
Vol 4 (4) ◽  
pp. 101-105
Author(s):  
Abdollahpour Sedigheh ◽  
Miri Hamid Heidarian ◽  
Khadivzadeh Talat
Keyword(s):  
Human Capital ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Educational Attainment ◽  
Total Fertility Rate ◽  
Fertility Rate ◽  
Neonatal Mortality Rate ◽  
Negatively Associated ◽  
Economic Participation ◽  
Human Capital Index

Introduction: Although worldwide maternal and neonatal mortalities have decreased, but Achieving sustainable development goals remains an unfinished agenda and global challenge. This study aimed to predict neonatal and maternal index based on development and demographic indicators. Methods: In this ecologic study, the dependent variables were Maternal mortality ratio (MMR), Neonatal mortality rate (NMR), and Under 5 Mortality Rate (U5MR) and the independent variables were Gender gap index (GGI) and its four components, human development, life expectancy, total fertility rate, and population growth. Data conducted using international secondary data published data bases of health metrics from 2016 to 2018 in 149 countries from WHO (World Health Organization), World Economic Forum, UNICEF (United Nations Children's Fund), and UNDP (United Nations Development Programme). Data analysis was performed using correlation model in Stata version 14.1 software. Results: In this study, economic participation and total fertility rate are positively and educational attainment, Human Capital Index and life expectancy are negatively associated with MMR. Human Capital Index, Educational attainment, and Life expectancy are negatively associated with NMR. Economic participation and total fertility rate are positively and educational attainment, Human Capital Index and life expectancy are negatively associated with U5MR. Discussion: To reduce the maternal and neonatal mortality rate, it is important to pay attention to indirect causes such as equal conditions for men and women to demographic and population indices such as economic participation, educational attainment, Human Capital Index and life expectancy.

Analysis of selected perinatological indicators in the Slovak Republic in the years 2007–2018

2021 ◽  
Vol 86 (2) ◽  
pp. 102-109
Author(s):  
Miroslav Korbeľ ◽  
◽  
Pavel Kaščák ◽  
zuzana Nižňanská
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Perinatal Mortality ◽  
Total Fertility Rate ◽  
Very Low Birth Weight ◽  
Slovak Republic ◽  
In Utero ◽  
Fertility Rate ◽  
Live Births

Overview Objective: Analysis of perinatal mortality in the Slovak Republic during the years 2007–2018. Methods: Analysis of prospectively collected selected perinatal data in the years 2007–2018. Results: In the year 2007, there were 63 obstetrics units, 51,146 deliveries and that of live births 51,650 in the Slovak Republic. The number of obstetrics units decreased to 51 in the years 2018, the total number of deliveries increased to 57,085 and that of live births increased to 57,773. The total fertility rate in the years 2007–2018 increased from 1.27 to 1.54. The preterm deliveries rate increased from 7.3% in the year 2007 to 8.5% in the year 2010 and decreased to 7% in the year 2018. The perinatal mortality rate decreased from 6.2 in the year 2007 to 4.4 in the year 2017, increased again in the years 2018 to 5.0 and according to the criteria of WHO (World Health Organization) to 6.6 per 1,000 still- and live-births. During the years 2007–2018 at perinatal mortality stillbirth participate with 65%, low birth weight with 63% and severe congenital anomalies with 19%. Transport in utero to perinatological centers in the years 2007–2018 has decreased from 57 to 56% for infants 1,000–1,499 g and from 75 to 73% for infants below 1,000 g. Conclusion: In the year 2017, perinatology in the Slovak Republic reached the best result in the perinatal mortality rate – 4.4‰ (0.44%), but has increased to over 5‰ next year. To further reduce perinatal mortality in the Slovak Republic, it is necessary to improve the prenatal dia­gnosis of severe congenital abnormalities, transport in utero of very low birth weight fetuses, centralization of high-risk pregnancies, obstetric personnel and material-technical equipment of obstetricians and neonatal intensive care units. Keywords: perinatal mortality – preterm delivery – multiple pregnancy – low birth weight – very low birth weight – total fertility rate

scholarly journals Demographic forecasting of population projection in Greece: A Bayesian probabilistic study

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
D Lamnisos ◽  
K Giannakou ◽  
T Siligari
Keyword(s):  
Public Health ◽  
Life Expectancy ◽  
Total Fertility Rate ◽  
Total Population ◽  
Fertility Rate ◽  
Replacement Level ◽  
Demographic Aging ◽  
The Social ◽  
Support Ratio

Abstract Background Demographic aging is an emerging issue in Greece, characterized by low fertility and increased life expectancy. Undoubtedly, demographic aging is a challenge for public health not only due to the financing of public pensions, but also for the increasing utilization of health care. Methods The total fertility rate and life expectancy at birth are projected probabilistically using Bayesian hierarchical models and United Nations population data for Greece from the period of 1950 to 2015. These are then converted to age-specific mortality rates and combined with a cohort component projection model. This yields probabilistic projections of total population by sex and age groups, total fertility rate (TFR), female and male life expectancies at birth and potential support ratio PSR (persons aged 20-64 per person 65+) by the year 2100. Results The total population in Greece in 1950 was around 7.5 million, increasing to 11 million based on the 2011 population census but is projected to decline to 7.5 million at 2100. TFR has followed a strong downward trend with 1.4 children per woman in 2005-2010 and is projected to have a slight increase to 1.6 and 1.8 children per woman for 2050 and 2100 with all values being below the replacement-level fertility. Life expectancy is expected to increase to 84 years for men and 88 years for women in 2050, and 90 years for men and 94 years for women in 2100. PSR is expected to decline dramatically from 3 in 2011 to approximately 1.5 in 2050 and 2100. Conclusions Over the years, Greece has lost its youthful structure and has acquired the characteristics of an aging population, reflecting the population distribution of Western countries. Demographic aging is harmful for the economic growth, the social security system, the social assistance, and it is closely linked to national defense and public health. A long-term multidimensional program is recommended to confront the demographic issue based on the previous international experience. Key messages Total fertility rate will be below replacement level and potential support ratio will decline dramatically. A long-term multidimensional program needs to be developed to address the demographic aging.

Exploring the Relationship between ICTs and Public Health at Country Level

2013 ◽  
Vol 8 (3) ◽  
pp. 1-22 ◽  
Author(s):  
Viju Raghupathi ◽  
Wullianallur Raghupathi
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Health Indicators ◽  
Fertility Rate ◽  
Child Immunization ◽  
The Public ◽  
Country Level ◽  
Public Health Indicators ◽  
The Relationship

The authors use a health analytics approach to investigate the relationship between information and communication technology (ICT) and public health at a country level. The research uses the ICT factors of accessibility, usage, quality, affordability, trade, and applications, as well as the public delivery indicators of adolescent fertility rate, child immunization for DPT, child immunization for measles, tuberculosis detection rate, life expectancy, adult female mortality rate, and adult male mortality rate. ICT data was collected from the International Telecommunication Union ICT Indicator database. The public health data was collected from the World Bank website. Results of the analytics indicate that ICT factors are positively associated with some public health indicators. Nearly all of the ICT factors are positively associated with the public health indicators of immunization rates, TB detection rates, and life expectancy. The association with adult mortality is negative, which is also favorable. However, the association of ICT with fertility rate is negative, which is an unfavorable effect. These results offer insight into the importance of understanding the positive and adverse impacts of ICT on public health so as to guide national policy decisions in the future.

scholarly journals Tempo Effects and their Relevance in Demographic Analysis

2011 ◽  
Vol 35 (3) ◽  
Author(s):  
Marc Luy
Keyword(s):  
Life Expectancy ◽  
Total Fertility Rate ◽  
Empirical Data ◽  
Fertility Rate ◽  
West Germany ◽  
Demographic Analysis ◽  
Demographic Indicators ◽  
Adjusted Indicators ◽  
The Right

Demographic period indicators like the total fertility rate or life expectancy are well known since more than a century and until recently there were only minor discussions about their usefulness. This changed with a series of publications by Bongaarts and Feeney (BF) in which they claimed that these indicators are inappropriate for describing current demographic conditions when the average age at childbearing respective death is changing. Therefore, BF proposed alternative tempo-adjusted indicators for such situations which can be very useful for demographic analysis. The still existing scepticism against the BF approach and the general rejection of mortality tempo adjustment in particular have their origin in a set of misunderstandings and misinterpretations of tempo-adjusted indicators. This paper systematically describes the basic idea of tempo effects, how they can distort the commonly used conventional period indicators and how the proposed methods approximate the idea of tempo adjustment, illustrated with empirical data for West Germany. We also summarize the critiques against tempo adjustment and try to put the tempo approach in the right perspective. Finally, the paper strives for providing a better understanding when tempo-adjusted measures should be used as alternative or in addition to the commonly used conventional demographic indicators.

scholarly journals Impact of Demographic Variables on Economic Growth in South Asian Countries: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 49-58
Author(s):  
Nisar Ahmad ◽  
Sara Nayyab
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Life Expectancy ◽  
South Asian ◽  
Total Fertility Rate ◽  
Ordinary Least Squares ◽  
Demographic Variables ◽  
Fertility Rate ◽  
Asian Countries ◽  
The Impact

This study find the impact of demographic variables on economic growth in selected South Asian countries; Pakistan, India, Bangladesh and Sri-Lanka using panel data from 1976 to 2017. Fertility rate and life expectancy are used as demographic variables and GDP is used to indicate the economic growth. Panel unit root tests including Levin-Lin & Chu, Im-Pesaran & Shin, ADF-Fisher χ2, PP-Fisher χ2 are applied to check the stationary of variables. Pedroni and Kao Panel Co-integration are employed to test the co-integration among variables. Fully Modified Ordinary Least Squares (FMOLS) estimators are obtained for long run relationship. Results show that total fertility rate and life expectancy have significant impact on economic growth in these four South Asian countries. For example, one unit increase in total fertility rate depresses the economic growth by 0.106 units. However, economic growth is accelerated by 0.196 units due to one year increase in life expectancy.

scholarly journals Empirical analysis of the push factors of human capital flight in Nigeria

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluwaseyi Popogbe ◽  
Oluyemi Theophilus Adeosun
Keyword(s):  
Human Capital ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Migration Rate ◽  
Infant Mortality Rate ◽  
Capital Flight ◽  
Push Factors ◽  
Content Type ◽  
Human Capital Flight

Purpose Human capital flight from Nigeria to developed countries has remained a topical issue. This paper aims to empirically analyze the push factors for the migrants who explore the various legal migrant schemes from a macro perspective. The authors examine human capital development and its role in contributing to human capital flight to more developed counties. Design/methodology/approach This paper is anchored on the push–pull model. Using secondary data from 1990 to 2019, the authors look at the relationship between human capital flight and variables such as life expectancy, infant mortality rate, population growth rate and Nigeria’s unemployment rate. The auto-regressive lag model (ARDL) was adopted to estimate the empirical relationship among these variables. Findings The results from the ARDL model suggest a positive relationship exists between population growth rate and migration rate. A negative relationship was, however, observed between life expectancy and migration rate. This study also found that an increase in the infant mortality rate negatively impacted migration significantly. Therefore, an increase in infant mortality rate lowered the migration rate. Finally, an increase in the unemployment rate increased migration; however, insignificantly. Research limitations/implications The findings from this study are limited to the push factors influencing migration out of Nigeria. These factors are also restricted to variables for which data can be derived under the study’s scope. The results of this study have far-reaching implications, especially for policymakers and citizens alike. Better human capital development through enhanced life expectancy and reduced population in Nigeria will reduce the migration rate. Therefore, this study calls for the doubling of developmental and infrastructural efforts at all levels of governance. Originality/value This paper’s importance lies in its ability to elucidate push factors that influenced migration out of Nigeria empirically. An empirical approach to the subject matter will explain these factors and the degree to which they influence migration. This will guide the policy-making process in curbing brain drain, which is a major challenge in Nigeria.

Demographic Transition in India: Insights Into Population Growth, Composition, and Its Major Drivers

2021 ◽  
Author(s):  
Usha Ram ◽  
Faujdar Ram
Keyword(s):  
Life Expectancy ◽  
Population Growth ◽  
Total Fertility Rate ◽  
Demographic Transition ◽  
Tamil Nadu ◽  
Uttar Pradesh ◽  
Well Being ◽  
Fertility Rate ◽  
Madhya Pradesh ◽  
Life Expectancy At Birth

Globally, countries have followed demographic transition theory and transitioned from high levels of fertility and mortality to lower levels. These changes have resulted in the improved health and well-being of people in the form of extended longevity and considerable improvements in survival at all ages, specifically among children and through lower fertility, which empowers women. India, the second most populous country after China, covers 2.4% of the global surface area and holds 18% of the world’s population. The United Nations 2019 medium variant population estimates revealed that India would surpass China in the year 2030 and would maintain the first rank after 2030. The population of India would peak at 1.65 billion in 2061 and would begin to decline thereafter and reach 1.44 billion in the year 2100. Thus, India’s experience will pose significant challenges for the global community, which has expressed its concern about India’s rising population size and persistent higher fertility and mortality levels. India is a country of wide socioeconomic and demographic diversity across its states. The four large states of Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan accounted for 37% of the country’s total population in 2011 and continue to exhibit above replacement fertility (that is, the total fertility rate, TFR, of greater than 2.1 children per woman) and higher mortality levels and thus have great potential for future population growth. For example, nationally, the life expectancy at birth in India is below 70 years (lagging by more than 3 years when compared to the world average), but the states of Uttar Pradesh and Rajasthan have an average life expectancy of around 65–66 years. The spatial distribution of India’s population would have a more significant influence on its future political and economic scenario. The population growth rate in Kerala may turn negative around 2036, in Andhra Pradesh (including the newly created state of Telangana) around 2041, and in Karnataka and Tamil Nadu around 2046. Conversely, Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan would have 764 million people in 2061 (45% of the national total) by the time India’s population reaches around 1.65 billion. Nationally, the total fertility rate declined from about 6.5 in early 1960 to 2.3 children per woman in 2016, a result of the massive efforts to improve comprehensive maternal and child health programs and nationwide implementation of the national health mission with a greater focus on social determinants of health. However, childhood mortality rates continue to be unacceptably high in Uttar Pradesh, Bihar, Rajasthan, and Madhya Pradesh (for every 1,000 live births, 43 to 55 children die in these states before celebrating their 5th birthday). Intertwined programmatic interventions that focus on female education and child survival are essential to yield desired fertility and mortality in several states that have experienced higher levels. These changes would be crucial for India to stabilize its population before reaching 1.65 billion. India’s demographic journey through the path of the classical demographic transition suggests that India is very close to achieving replacement fertility.

scholarly journals The Impact of Health Indicators on Economic Growth In Pakistan

2013 ◽  
Vol 1 (1) ◽  
pp. 11-27
Author(s):  
Kashif Raza ◽  
Salman Majeed ◽  
Salman Majeed ◽  
Maryam Islam
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Sector ◽  
Health Indicators ◽  
Health Expenditures ◽  
Fertility Rate ◽  
Infant Mortality Rate ◽  
Series Data

This study aims at investigating the issues of health sector in Pakistan and highlights the important link between health indicators and economic growth. For this purpose, Ordinary least square method and Granger Causality technique are applied on time series data of Pakistan from 1980-2012. Health expenditures, fertility rate, life expectancy, and infant mortality rate have been used as health indicators. The basic objective of study is to enhance those issues in health sectors that directly or indirectly strike on economic growth of Pakistan so that effective policies can be chalked out to cop current as well future condition regarding health and an economic growth. The results showed that life expectancy, fertility rate, investment on health sectors has significantly influenced the per capita GDP. Health expenditures have also positive but insignificant impact on economic growth. Whereas there is negative relationship of infant mortality rate, population per bed on economic growth. The major policy implication of this study is that by increasing the health facilities through increase the investment on health sector that will improve the sustainable level of economic growth.

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