Human Development Index Research Articles

Indicators of social inequalities associated with cancer mortality in Brazilian adults: scoping review.

The objective of this study was to identify indicators of social inequalities associated with mortality from neoplasms in the Brazilian adult population. A scoping review method was used, establishing the guiding question: What is the effect of social inequalities on mortality from neoplasms in the Brazilian adult population? A total of 567 papers were identified, 22 of which were considered eligible. A variety of indicators were identified, such as the Human Development Index and the Gini Index, which primarily assessed differences in income, schooling, human development and vulnerability. A single pattern of association between the indicators and the different neoplasms was not established, nor was a single indicator capable of explaining the effect of social inequality at all levels of territorial area and by deaths from all types of neoplasms identified. It is known that mortality is influenced by social inequalities and that the study of indicators provides an opportunity to define which best explains deaths. This review highlights important gaps regarding the use of non-modifiable social indicators, analysis of small geographical areas, and limited use of multidimensional indicators.

Spatial clusters and social inequities in COVID-19 vaccine coverage among children in Brazil.

This study examined the spatial distribution and social inequalities in COVID-19 vaccine coverage among children aged 5-11 in Brazil. First and second dose vaccine coverage was calculated for all Brazilian municipalities and analyzed by geographic region and deciles based on human development index (HDI-M) and expected years of schooling at 18 years of age. Multilevel models were used to determine the variance partition coefficient, and bivariate local Moran's I statistic was used to assess spatial association. Results showed significant differences in vaccine coverage rates among Brazilian municipalities, with lower coverage in the North and Midwest regions. Municipalities with lower HDI and expected years of schooling had consistently lower vaccine coverage rates. Bivariate clustering analysis identified extensive concentrations of municipalities in the Northern and Northeastern regions with low vaccine coverage and low human development, while some clusters of municipalities in the Southeast and South regions with low coverage were located in areas with high HDI-M. These findings highlight the persistent municipal-level inequalities in vaccine coverage among children in Brazil and the need for targeted interventions to improve vaccine access and coverage in underserved areas.

Econometrics case study: Analysis of factors influencing the poverty rate in the Special Region of Yogyakarta Province

Background: This research is an econometrics case study aimed at addressing two research questions. Firstly, to provide an overview of the Special Region of Yogyakarta Province. Secondly, to identify the factors influencing the poverty rate in the province. The study utilizes the concepts of poverty, provincial minimum wage, Human Development Index (HDI), economic growth, and unemployment rate. Method: Methodologically, the province is chosen as the research location due to its poverty rate that requires attention and its distinctive social, economic, and geographical characteristics. The data used are secondary data, analyzed using multiple linear regression and normality tests. Findings: The findings of this study are as follows. Firstly, the Special Region of Yogyakarta Province is situated between 7°33' LS - 8°12' LS and 110°00' BT - 110°50' BT, with a land area of 3,185.8 km2. The province comprises 4 regencies and 1 municipality. Secondly, the factors influencing the poverty rate in the Special Region of Yogyakarta Province are the Human Development Index (HDI) and the unemployment rate. Conclusion: The conclusion is that the poverty rate in the Special Region of Yogyakarta Province is influenced by the Human Development Index (HDI) and the unemployment rate. The recommendations that can be given are to increase the HDI and reduce the unemployment rate through various government initiatives such as improving education, creating jobs, and encouraging economic activities. Novelty/Originality of this article: This study identifies factors that influence poverty levels using multiple linear regression. The results show that the Human Development Index (HDI) and poverty rates significantly influence poverty rates in this province.

MODELING CRIME IN EAST JAVA USING SPATIAL DURBIN MODEL REGRESSION

The high crime rate will create unrest and losses for the community. One of the provinces with high crime rates is East Java. This study aims to analyze the factors that influence criminality in East Java to ensure appropriate crime prevention and control measures can be taken. The factors that potentially influence crime in East Java studied include population density, the number of poor people, unemployment, Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and per Capita Expenditure, which are associated with geographical conditions in each region (regency/city) collected from BPS East Java in 2022. Meanwhile, the number of crimes is collected from the East Java Regional Police. This research uses a statistical method, namely the Spatial Durbin Model (SDM), which is a particular form of the Spatial Autoregressive Model (SAR) method with Queen Contiguity weighting by analyzing geographically (spatial processes). Based on the results of the analysis, it was found that the influential factors were unemployment, HDI, GRDP, and per Capita Expenditure, and the R-square result was obtained at 85.18%. This shows a relationship between spatial accessibility and crime, where unemployment, HDI, GRDP, and per Capita Expenditure in an area can affect regional vulnerability to crime

Pengaruh Inflasi Dan Tingkat Pendidikan Terhadap Indeks Pembangunan Manusia Dengan Pertumbuhan Ekonomi Sebagai Variabel Intervening (Di Kabupaten Mandailing Natal Tahun 2018-2023)

This study aims to analyze the influence and relationship between 4 (four) variables, namely Inflation, education level, human development index and economic growth and test intervening variables as mediating variables between independent variables and dependent variables. This type of research is quantitative research. The data processed was obtained from the Mandailing Natal Regency Statistics Agency. The data obtained was then analyzed using multiple linear regression tests and hypothesis testing using SPSS IBM version 22. The results of this study indicate that the accepted hypothesis is a positive and significant relationship between the three independent variables on the dependent variable. It is obtained that the significance value of X1 is 0.000 <0.05, so it can be concluded directly that there is a significant effect of X1 on Y, the significance value of X2 is 0.008 <0.05, so it can be concluded directly that there is a significant effect of X2 on Y, the significance value of X1 is 0.1>0.05, so it can be concluded directly that there is no significant effect of X1 on Z, the significance value of X2 is 0.5>0.05, so it can be concluded directly that there is no significant effect of X2 on Z, the significance value of Y on Z is 0.8>0.05, so it can be concluded directly that there is no significant effect of variable Y on Z.

Provincial emission inventory of atmospheric polycyclic aromatic hydrocarbons (PAHs) in China

China, as the largest global emitter of atmospheric polycyclic aromatic hydrocarbons (PAHs), exhibits significant variation in energy structure and technological capabilities among provinces. It is vital to construct a provincial-level emission inventory of PAHs, fully considering these provincial disparities, for assessing the environmental budgets and instituting effective mitigation measures. This study constructed a dataset of provincial PAHs emission factors based on downscaling estimates by incorporating the Human Development Index (HDI). These emission factors were combined with the latest activity rate data to estimate PAHs emissions from individual provinces in China from 2007 to 2017. The national total PAHs emissions in our study were 11.8–12.3% higher than the previous emission inventory results. The validation results indicated that the inventory-based PAHs emissions were significantly correlated with the simulated emissions by an atmospheric box model and watershed model. From 2007 to 2017, nearly three-quarters of provinces declined in PAHs emissions resulting from technological advancements and environmental standard improvements, leading to a 34.4% reduction (from 118.5 to 77.8 Gg) of the national total. The industrial sector was consistently the dominant contributor (51.9–66.4%) with a growing trend in its share. This growth was dominantly contributed by less developed provinces, such as Heilongjiang, Ningxia, and Qinghai, indicating that there was a shift of industrial sectors and associated PAHs emissions from highly concentrated industrial regions to nascent industrial regions. This study provides essential data support for a comprehensive understanding of each province's emission responsibilities regarding PAHs and for assessing the potential risks that PAHs pose to human health and ecosystems in these provinces.

İnsani Gelişme Endeksinin Bir Bileşeni Olan Yaşam Beklentisinin Farklı Gelir Grupları Açısından Yakınsaması

The argument that health indicators, which are one of the three equally weighted elements of the Human Development Index, have ceased to be an indicator of development was examined for the period between 1972 and 2020. In the first stage of the study, the evolution of life expectancy was examined descriptively in the context of the classification of the world's countries as high-income, middle-income (upper and lower middle) and low-income. If the average life expectancy in each group is taken as 100 in 1972, it can be seen that life expectancy has increased most in low-income countries (140.9), followed by middle-income (128.6) and high-income countries (112.8). In addition, this situation was analyzed using unit root tests. The series obtained by relating the average life value of the high-, middle-, and low-income groups to Japan, which represents the highest life value, are stationary at the level. Therefore, it is noteworthy that the development gap between countries in the world in terms of income is gradually deepening, giving rise to a divergence mechanism, while the development gap in terms of average life is gradually narrowing, that is, the existence of convergence in terms of average life. In the convergence of health, both humanistic motives and individual motives (the realization that if all humanity is not saved, as in the last pandemic, no one's salvation will be possible) have been effective.

External Financial Flows, Fiscal Policy and Human Development Index in Nigeria

The sustainable development goals that were rolled out and adjusted from the un-attainment of Millennium development goals of 2015, lacks a notable financial option and channel that would help developing countries like Nigeria to achieve goal 3, goal 4 and goal 8, which this study captured with the human development index. This study examines the effect of external financial flows, fiscal policy and human development index in Nigeria. The used the secondary data that was collected from World development indicators and Central bank of Statistical Bulletin. The period was between 1991 to 2022 bot year inclusive. The external financial flows was captured with foreign direct investment, foreign aid, remittances, net exports, external debt while fiscal policy was captured with government expenditure for education and government expenditure for health. The findings from the external financial flows revealed that foreign direct investment and remittances have a negative significant effect on human development index while net export have a positive significant human development index. The fiscal policy measures revealed that government expenditure on education have a positive significant effect on human development index while government expenditure on health have a negative significant effect on health. The Nigerian government should focus on policies that boost export sectors, especially those that add significant value to raw materials. This can be achieved through subsidies, tax incentives, and investment in infrastructure. The Nigerian government should allocate a larger portion of the national budget to education. This increase in funding should aim to address infrastructural deficits, enhance teacher training, and provide adequate learning materials. Implement robust mechanisms to ensure that health funds are used efficiently and transparently.

КАЙРА ИШТЕТҮҮ ИШКАНАЛАРЫНЫН КАРЖЫЛЫК-ЭКОНОМИКАЛЫК ЖАНА МАТЕРИАЛДЫК-ТЕХНИКАЛЫК РЕСУРСТАРЫНЫН КОЛДОНУЛУУСУ

This article provides an overview analysis of the main resources used in increasing the efficiency of processing enterprises, including the effective use of financial, economic and material and technical resources. Advantages of using financial, economic, material and technical resources in increasing the productivity of processing enterprises have been proven on a scientific and theoretical basis. And, in the article, it is aimed to reveal the place of use of financial, economic and material and technical resources in achieving high profitability and best efficiency for various processing enterprises. Comparison, analysis and hypothesis methods are used in the research, scientific and theoretical aspects are presented. As a result, we have shown that in the process of managing financial resources in enterprises, issues about sources of formation and directions of their use are solved. Economic indicators of developed countries include gross domestic product per capita, unemployment rate, human development index, inflation rate and other key aspects of the economy and society.

ICT and Agricultural Development in South Africa: An Auto-Regressive Distributed Lag Approach

The use of Information Communication Technology (ICT) forms a significant component of the Fourth Industrial Revolution (4IR). This study examined the impact of ICT on agricultural development in South Africa utilizing time series data from 1995 to 2022. Agricultural development was measured through agricultural output and agriculture total factor productivity as dependent variables. Traditional factors of production (land, labor, and capital) together with ICT variables (mobile cellphone subscriptions, Internet usage, and fixed telephone subscriptions) were used. Additional variables such as inflation, human development, access to energy and climate change were used. Data analysis was performed using the ARDL approach. The findings revealed that mobile phone subscriptions and Internet usage positively affect agricultural output and ATFP in the short and long run despite having a negative effect through the second lag in the short run. Fixed telephone subscriptions negatively affect ATFP in the long run while affecting output negatively in the short run through the first lag. Land, human development index, access to energy, and capital generally exhibited an increasing effect on both agricultural output and ATFP both in the short and long run through the various models estimated. Climate change and inflation were generally found to affect both agricultural output and ATFP negatively in the short and long run. The study concluded that ICT plays a significant role in promoting agricultural output and total factor productivity growth. Recommendations included that the South African government should promote the digitalization of the agriculture sector through the provision of ICT infrastructure that can be utilized by both smallholder farmers and large-scale agricultural producers.

Navigating Nepal’s development trajectory: The road to graduation from the LDC status and beyond

Nepal’s imminent graduation from the Least Developed Country (LDC) status marks a significant milestone in its development trajectory, highlighting substantial progress in economic, social, and human development indicators. This transition necessitates a strategic approach to capitalize on newfound opportunities while mitigating associated challenges. Drawing on insights from socio-economic indicators and economic evolution data, this paper assesses Nepal’s readiness for graduation and outlines key priorities for its post-LDC journey. Emphasizing sustainable development aligned with the Sustainable Development Goals (SDGs), the paper advocates for in-country resource mobilization, system strengthening with a localization focus, human capital development, market access facilitation, resilience building, and promotion of foreign direct investment. By leveraging international support, prioritizing strategic initiatives, and fostering conducive environments for growth and investment, Nepal can navigate the transition effectively and pave the way for inclusive, resilient, and sustainable development.

Assessment of knowledge and utilization of antenatal care services among tribal women of Palakkad district, Kerala: a cross-sectional study

Background: Nearly 800 women die out of preventable causes associated with pregnancy and childbirth worldwide every day, with low and middle-income countries contributing approximately 90% of the mortality. The majority of pregnancy-related deaths are preventable with the provisioning of cost-effective services like antenatal care (ANC). Despite Kerala having a good human development index compared to other states in India, marginalized groups like Dalit, Adivasi, and fisher folks are still behind the development process, including the utilization of ANC services. This study assessed the knowledge and utilization of ANC services among tribals in Kerala, India. Methods: A cross-sectional study was conducted among 45 tribal women of Palakkad district, Kerala, who registered for ANC and delivered child. Convenient sampling was used to select study participants. Descriptive statistics were used to obtain frequency and percentage. The chi-square test was carried out to see the association between identified variables. Results: Among 45 participants, 28.89% fell under the adequate ANC utilization. 64.46% did early ANC registration, 73.3% visited ANC more than four times, 75.56% completed the 2 tetanus toxoid (TT) injections, and 66.67% consumed more than 100 iron-folic acid tablets. About 73.3% of participants knew the importance of immunizing children against vaccine-preventable diseases. Conclusions: Even in an egalitarian state like Kerala with high literacy, ANC service utilization among tribal communities is still below 70%. The issue is multifaceted and requires a more nuanced approach. The health system must adopt comprehensive, context-specific, and community-based approaches.

Birth Intention Status and Infant Mortality: Fixed‐Effects Analysis of 60 Countries

AbstractMost studies on the impact of birth intentions on children's well‐being do not separate risks of infant mortality associated with pregnancy intention status from the risks that are associated with sociodemographic characteristics. There is a lack of studies taking a multicountry comparative perspective. We analyzed 60 Demographic and Health Surveys in Asia, the Americas, and Africa to examine the association between birth intentions and infant mortality using sibling fixed‐effects linear probability models accounting for confounding due to time‐invariant maternal characteristics. Compared to wanted births, the probability of infant mortality was higher after an unwanted or mistimed birth, or both, in 41 countries. Particularly in West Africa, mostly mistimed pregnancies were associated with infant mortality, whereas in the Americas unwanted pregnancies mattered more. These differences could be partly due to contextual variation in the concept of birth intentions and in the importance of birth spacing and limiting. We show that the risk of infant mortality after an unwanted/mistimed pregnancy was higher in countries with low human development index and high overall infant mortality rate, highlighting the importance of taking context into account rather than pooling data. To the best of our knowledge, this is the first large‐scale, cross‐regional, and cross‐country comparative study to analyze the association between birth intentions and infant mortality using a fixed‐effects approach.

Lung Cancer Screening-Trends and Current Studies.

Lung cancer is the leading cause of death among all the oncological diseases worldwide. This applies to both women and men; however, the incidence and mortality among women is on the rise. In 2020, lung cancer was responsible for 1.8 million deaths (18%). More than 90% of lung cancer cases and 77.1% of lung cancer deaths occur in countries with high and very high HDI (human development index) values. The aim of our study is to the present trends and most recent studies aimed at lung cancer screening. In the face of the persistently high mortality rate, conducting research aimed at extending already-implemented diagnostic algorithms and behavioural interventions focused on smoking cessation is recommended.

A comprehensive health index for India: development, validation, and spatial variation

This paper presents the development, testing, and spatial variation of an innovative India Health Index. Unlike previous approaches that focused on specific health aspects (e.g., health resources, child health, or health coverage), our index takes a comprehensive and multi-dimensional approach. It covers indicators across various life stages: child, adolescent, and adult. It encompasses six domains influencing health: socio-cultural factors, health status, health determinants (both risk and protective factors), household environment, and health system and policy. We used data from the latest round of the National Family Health Survey and employed Principal Component Analysis for constructing the India Health Index. Subsequent statistical tests confirmed its internal reliability and construct validity. External validity was indicated by its association with under-five mortality rates, and the sub-national human development index for India. Spatial analyses revealed significant inter-district and inter-state variation in India Health Index scores. The findings underscore the utility of the India Health Index as a measurement tool and its potential for tracking progress and policy intervention for improving health equity in India.

Mortality Attributable to Clostridioides difficile Infection: The Rising Burden of Disease in European Countries.

Background and Objectives: Clostridioides difficile infection is a major public health issue, being among the main causes of mortality due to healthcare-associated diarrhea. This study aimed to assess the trends in mortality attributable to Clostridioides difficile infections in European countries over a period of 30 years. Materials and Methods: A descriptive epidemiological study was conducted, with the application of an ecological study design, to evaluate the trends in mortality due to Clostridioides difficile infection in the Central, Eastern, and Western European sub-regions from 1990 to 2019. The Global Burden of Disease study database was used. Trends were evaluated with the joinpoint regression analysis. Results: In both sexes, about 76% of all deaths attributable to Clostridioides difficile infections were recorded in the Western European sub-region in 2019. The age-standardized rates of the burden of Clostridioides difficile infection in 2019 were the highest in the Central European sub-region, followed by the Western European sub-region, while the lowest rates were observed in the Eastern European sub-region. A significantly increasing trend in mortality attributable to Clostridioides difficile infection from 1990 to 2019 was recorded both in males (by +2.1% per year) and females (by +2.8% per year). The burden of Clostridioides difficile infection showed increasing trends in most of the European countries, significantly correlating with the country's development, according to the Human Development Index. Conclusions: The rising burden of Clostridioides difficile infection in European countries in the last few decades suggests a need for improving public health measures, with a focus both on the hospital setting and community.

Estimasi Parameter Model Regresi Logistik Biner dengan Conditional Maximum Likelihood Estimation pada Data Panel

Binary logistic regression models can be used on panel data with categorical responses that experience repeated measurements based on time. This study aims to determine the factors that influence the Human Development Index in South Sulawesi Province in 2015-2019. Data were analyzed through binary logistic regression with fixed effect model approach through Conditional Maximum Likelihood Estimation (CMLE) for panel data. The results of this study indicate that the variables that have a significant effect are life expectancy (X1), school length expectancy (X2) and the average length of schooling (X3). Obtained the probability value of districts/cities that have a medium low and medium high human development index with a classification accuracy of 56.25%.

Analisis Regresi Data Panel Dengan Model Efek Umum, Model Efek Tetap Dan Model Efek Acak (Studi Kasus: Inflasi Dan Indeks Pembangunan Manusia)

Panel data regression analysis is a method for modeling the influence of independent variables on dependent variables, on a combination of cross-section and time-series data. This research aims to estimate a panel data regression model with a generalized effects model using the least squares method, estimate a fixed effects model with the Least Square Dummy Variable and estimate a random effects model with Generalized Least Square on inflation and human development index data. The results obtained show that the factors that have a significant influence at the 5% level on the inflation rate in 2014-2019 are the dollar exchange rate with a coefficient of determination of the general effects model of 61.06%, then the HDI level in South Sulawesi in 2011-2017 is significantly influenced by factors such as average length of schooling and life expectancy with a coefficient of determination of the fixed effects model of 89.73%, and the HDI level in South Sulawesi in 2016-2019 is significantly influenced by the factors of life expectancy, per capita expenditure and poverty with a coefficient of determination of the random effects model amounting to 63.07%.

Kontribusi faktor sosioekonomi pada kemiskinan di Pulau Jawa

Poverty is a social problem hindering a country's economic progress. This problem has spread widely and is increasingly complex throughout Indonesia, especially in Java Island, which has the fastest population growth and slow socio-economic development due to ongoing poverty. This research investigates the factors that influence poverty on Java Island in 2022. Using cross-section data from 119 districts/cities in Java Island and multiple linear regression analysis, this research measures poverty through the human development index, open unemployment rate, and minimum wage. The research results show that the open unemployment rate does not significantly affect poverty. In contrast, the human development index and regency/city minimum wages significantly negatively affect poverty. These findings suggest that improving human development in education, health, and decent living conditions is essential. In addition, the government needs to increase efforts in each region to tackle poverty effectively.

Assessment of water, sanitation and hand hygiene practices in rural households of Tamil Nadu: A cross-sectional study.

Water is a basic human right essential to all for sustainable development. Sanitation is one of the determinants of quality of life and the human development index. Drinking unsafe water impairs health through illnesses such as diarrhoea, and untreated excreta contaminates ground waters and surface waters used for drinking, bathing and household purposes. To assess the existing facilities and practices related to drinking water, sanitation, and hygiene among household members in the rural population of Tamil Nadu and to assess whether accessibility and availability of safe drinking water and adequate sanitation under sustainable development goal 6 is being achieved in the rural population of Tamil Nadu. This community-based cross-sectional study was carried out among 200 households in the rural field practice area of the Medical College and Hospital, Thiruvallur district, Tamil Nadu. The participants were interviewed using a predesigned semi-structured questionnaire on their existing water, sanitation, and hand washing facilities and practices. Our study observed that 71.5% of households had piped water supply into their dwellings, 82% were using sanitary latrines and 28% had closed drainage for draining wastewater. Twenty-eight percent were using soap and water for hand-washing before food, and 82.5% were doing hand-washing with soap after using the toilet. In our study, the association between sanitary practices and education, occupation and socioeconomic status was statistically significant. Our study emphasized the need for strengthening health education and behaviour change communication regarding sanitation and hand hygiene practices.