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1

Glorioso, Valeria, and Maurizio Pisati. "Socioeconomic inequality in health-related behaviors: a lifestyle approach." Quality & Quantity 48, no. 5 (2013): 2859–79. http://dx.doi.org/10.1007/s11135-013-9929-y.

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Baigi, Vali, Saharnaz Nedjat, Ahmad Reza Hosseinpoor, Majid Sartipi, Yahya Salimi, and Akbar Fotouhi. "Socioeconomic inequality in health domains in Tehran: a population-based cross-sectional study." BMJ Open 8, no. 2 (2018): e018298. http://dx.doi.org/10.1136/bmjopen-2017-018298.

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ObjectiveReduction of socioeconomic inequality in health requires appropriate evidence on health and its distribution based on socioeconomic indicators. The objective of this study was to assess socioeconomic inequality in various health domains and self-rated health (SRH).MethodsThis study was conducted using data collected in a survey in 2014 on a random sample of individuals aged 18 and above in the city of Tehran. The standardised World Health Survey Individual Questionnaire was used to assess different health domains. The age-adjusted prevalence of poor health was calculated for each heal
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Wang, Yixiao. "Income-related inequality in health outcomes among older individuals in China: A measurement and decomposition analysis." Global Health Economics and Sustainability 2, no. 1 (2024): 2243. http://dx.doi.org/10.36922/ghes.2243.

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Population aging in China presents a significant challenge, with projections indicating that individuals aged 65 and above will exceed 30% of the total population by 2050, thereby increasing health-care and long-term care (LTC) demands. Therefore, this study aimed to examine income-related inequality in self-rated health (SRH) and functional ability among older individuals in China while also examining the contribution of socioeconomic factors to health inequality. Data were drawn from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey. Well-established tools, such as concentra
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Panigrahi, Priyanca, Dharmashree Satyarup, and Jagruti Nanda. "A Review on Socioeconomic Divide: Implications for Health Outcomes and Oral Health." International Journal of Medical Sciences and Pharma Research 10, no. 4 (2024): 9–15. https://doi.org/10.22270/ijmspr.v10i4.118.

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Social inequality has a substantial influence on oral health and health outcomes in general. It takes many different forms, including differences in wealth and educational attainment. Prominent health inequalities are caused by the unequal distribution of opportunities and resources, which is influenced by socioeconomic, racial, and geographic variables. Unfair health disparities are caused by a variety of factors, including as living circumstances, health-related behaviours, and biological variance. These differences, which mostly impact lower socioeconomic groups, threaten social cohesivenes
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Andrade, Fabíola Bof de, José Leopoldo Ferreira Antunes, Paulo Roberto Borges de Souza Junior, Maria Fernanda Lima-Costa, and Cesar De Oliveira. "Life course socioeconomic inequalities and oral health status in later life." Revista de Saúde Pública 52, Suppl 2 (2019): 7s. http://dx.doi.org/10.11606/s1518-8787.2018052000628.

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OBJECTIVE: To investigate the association between life course socioeconomic conditions and two oral health outcomes (edentulism and use of dental prostheses among individuals with severe tooth loss) among older Brazilian adults. METHODS: This was a cross-sectional study with data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) which includes information on persons aged 50 years or older residing in 70 municipalities across the five great Brazilian regions. Regression models using life history information were used to investigate the relation between childhood (parental education)
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Safaei, Jalil. "Global income related health inequalities." Social Medicine 2, no. 1 (2007): 19–33. https://doi.org/10.71164/socialmedicine.v2i1.2007.31.

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Income related health inequalities have been estimated for various groups of individuals at local, state, or national levels. Almost all of theses estimates are based on individual data from sample surveys. Lack of consistent individual data worldwide has prevented estimates of international income related health inequalities. This paper uses the (population weighted) aggregate data available from many countries around the world to estimate worldwide income related health inequalities. Since the intra-country inequalities are subdued by the aggregate nature of the data, the estimates would be
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Lumme, Sonja, Kristiina Manderbacka, Sakari Karvonen, and Ilmo Keskimäki. "Trends of socioeconomic equality in mortality amenable to healthcare and health policy in 1992–2013 in Finland: a population-based register study." BMJ Open 8, no. 12 (2018): e023680. http://dx.doi.org/10.1136/bmjopen-2018-023680.

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ObjectiveTo study trends in socioeconomic equality in mortality amenable to healthcare and health policy interventions.DesignA population-based register study.SettingNationwide data on mortality from the Causes of Death statistics for the years 1992–2013.ParticipantsAll deaths of Finnish inhabitants aged 25–74.Outcome measuresYearly age-standardised rates of mortality amenable to healthcare interventions, alcohol-related mortality, ischaemic heart disease mortality and mortality due to all the other causes by income. Concentration index (C) was used to evaluate the magnitude and changes in inc
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Ataguba, John E., James Akazili, and Di McIntyre. "Socioeconomic-related health inequality in South Africa: evidence from General Household Surveys." International Journal for Equity in Health 10, no. 1 (2011): 48. http://dx.doi.org/10.1186/1475-9276-10-48.

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Bof de Andrade, Fabíola, and Flavia Drumond Andrade. "Socioeconomic Inequalities in Oral Health-Related Quality of Life among Brazilians: A Cross-Sectional Study." Dentistry Journal 7, no. 2 (2019): 39. http://dx.doi.org/10.3390/dj7020039.

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Objective: Assess the magnitude of the socioeconomic inequalities related to the impact of oral health on quality of life among adults and elderly individuals. Methods: This was a cross-sectional study with data from the most recent oral health survey from the state of Minas Gerais, Brazil. The sample included data on 2288 individuals—1159 adults in the 35–44 age group and 1129 adults in the 65–74 age group. Socioeconomic inequalities in Oral Impacts on Daily Performance ratings were measured using two inequality measures: the slope index of inequality (SII) and the relative index of inequalit
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Wondimu, Abrham, Jurjen van der Schans, Marinus van Hulst, and Maarten J. Postma. "Inequalities in Rotavirus Vaccine Uptake in Ethiopia: A Decomposition Analysis." International Journal of Environmental Research and Public Health 17, no. 8 (2020): 2696. http://dx.doi.org/10.3390/ijerph17082696.

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A previous study in Ethiopia reported significant variation in rotavirus vaccine uptake across socioeconomic strata. This study aims to quantify socioeconomic inequality of rotavirus vaccine uptake in Ethiopia and to identify the contributing factors for the inequality. The concentration curve (CC) and the Erreygers Normalized Concentration Index (ECI) were used to assess the socioeconomic related inequality in rotavirus vaccine uptake using data from the 2016 Ethiopian Demographic and Health Survey. Decomposition analysis was conducted to identify the drivers of inequalities. The CC for rotav
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Andrade, Fabíola Bof de, and Flávia Cristina Drumond Andrade. "Socioeconomic inequalities related to dental care needs among adolescents and adults living in the state of Minas Gerais, Brazil." Cadernos Saúde Coletiva 29, no. 3 (2021): 322–29. http://dx.doi.org/10.1590/1414-462x202129030186.

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Abstract Background There is significant evidence of inequalities in the need for dental treatment, and their monitoring is essential for public health planning. Objective To measure the extent of the association between socioeconomic inequality and need for dental care. Method This study used data from the 2011 Survey of Oral Health Conditions, including a representative sample of adolescents (n=2,310) and adults (n=1,188) from the state of Minas Gerais, Brazil. Need for dental treatment was evaluated according to criteria of the World Health Organization (WHO). Family income was used as a me
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Shibalkov, Ivan P., Irina A. Pavlova, Olga P. Nedospasova, and Ekaterina K. Tagina. "Systematization of Socioeconomic Factors that Determine Health Inequality: A Literature Review." Vestnik Tomskogo gosudarstvennogo universiteta, no. 468 (2021): 101–14. http://dx.doi.org/10.17223/15617793/468/12.

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Academic and expert community is continuously researching all aspects of inequality. However, problems of inequality in healthcare (due to objective circumstances (ethnicity, gender, etc.) and settings in which people are born, grow up, work, and age) have been studied to a lesser extent. The study aims to summarize and analyze literature on the identification and systematization of socioeconomic factors affecting inequality in health on individual and population levels. Health factors are primarily determined by a person's socioeconomic position (SEP), including education, income, and occupat
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Kovács, Nóra, and Orsolya Varga. "Socioeconomic and Healthcare Indicators and Colorectal Cancer Burden: Analysis of Eurostat and Global Burden of Disease Study 2021 Data." Cancers 17, no. 13 (2025): 2075. https://doi.org/10.3390/cancers17132075.

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Background/Objectives: Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, posing a substantial health and economic burden. Despite advances in screening and treatment, significant socioeconomic and healthcare-related disparities persist across European Union (EU) member states. This study aims to identify trends and inequality in CRC burden over time and to explore the relationship between country-level socioeconomic and healthcare indicators and CRC burden across EU member states. Methods: Age-standardized mortality, years lived with disability (YL
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Dorjravdan, Munkhjargal, Javkhlanbayar Dorjdagva, Katsuyasu Kouda, et al. "Education-related inequality in overweight and obesity among Mongolian adults." PLOS Global Public Health 5, no. 6 (2025): e0004723. https://doi.org/10.1371/journal.pgph.0004723.

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The increasing prevalence of overweight and obesity is a serious public health problem in low- and middle-income countries, closely linked to socioeconomic status, with significant disparities observed across different socioeconomic groups. However, the association between socioeconomic status and overweight or obesity has been less studied in Mongolia. The aim of this study was to examine socioeconomic inequality in overweight and obesity among adults in Mongolia. The data for this study was derived from the Mongolian National Tuberculosis Prevalence Survey, which included 41,777 participants
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Muhammad, T., Anjali Elsa Skariah, Manish Kumar, and Shobhit Srivastava. "Socioeconomic and health-related inequalities in major depressive symptoms among older adults: a Wagstaff’s decomposition analysis of data from the LASI baseline survey, 2017–2018." BMJ Open 12, no. 6 (2022): e054730. http://dx.doi.org/10.1136/bmjopen-2021-054730.

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ObjectivesTo find out the association between socioeconomic and health status and depression among older adults and explore the contributing factors in the socioeconomic and health-related inequalities in late-life depression.DesignA cross-sectional study was conducted using large representative survey data.Setting and participantsData for this study were derived from the baseline wave of the Longitudinal Ageing Study in India conducted during 2017–2018. The effective sample size was 30 888 older adults aged 60 years and above.Primary and secondary outcome measuresThe outcome variable in this
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Endalamaw, Aklilu, Charles F. Gilks, Fentie Ambaw, Resham B. Khatri, and Yibeltal Assefa. "Socioeconomic inequality in knowledge about HIV/AIDS over time in Ethiopia: A population-based study." PLOS Global Public Health 3, no. 10 (2023): e0002484. http://dx.doi.org/10.1371/journal.pgph.0002484.

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Socioeconomic inequality in comprehensive knowledge about HIV/AIDS can hinder progress towards ending the epidemic threat of this disease. To address the knowledge gap, it is essential to investigate inequality in HIV/AIDS services. This study aimed to investigate socioeconomic inequality, identify contributors, and analyze the trends in inequality in comprehensive knowledge about HIV/AIDS among adults in Ethiopia. A cross-sectional study was conducted using 2005, 2011, and 2016 population-based health survey data. The sample size was 18,818 in 2005, 29,264 in 2011, and 27,261 in 2016. Socioec
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Annapurna, Afifa Aftab, Sangeeta Kansal, and Alok Kumar. "Socioeconomic Disparity and Risk Factors of Non-communicable Diseases: Analysis of Longitudinal Ageing Study in India using a Decomposition Approach." Indian Journal of Public Health 67, Suppl 1 (2023): S18—S26. http://dx.doi.org/10.4103/ijph.ijph_691_23.

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Abstract Introduction: Many countries prioritize health-related research and policy around socioeconomic inequality. In India, data on socioeconomic disparity and risk factors for noncommunicable diseases (NCDs) are limited. The study provides empirical information on socioeconomic disparities in NCD risk factors in India as part of a preventative and policy initiative. Methods: The study used nationally representative data from wave 1 of the Longitudinal Ageing Study in India which adopted a multistage random sampling design. To achieve the objectives of the study, binary logistic regression
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Gagné, Thierry, and Adrian E. Ghenadenik. "Rethinking the relationship between socioeconomic status and health: Challenging how socioeconomic status is currently used in health inequality research." Scandinavian Journal of Public Health 46, no. 1 (2017): 53–56. http://dx.doi.org/10.1177/1403494817744987.

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Aims: The Scandinavian Journal of Public Health recently reiterated the importance of addressing social justice and health inequalities in its new editorial policy announcement. One of the related challenges highlighted in that issue was the limited use of sociological theories able to inform the complexity linking the resources and mechanisms captured by the concept of socioeconomic status. This debate article argues that part of the problem lies in the often unchallenged reliance on a generic conceptualization and operationalization of socioeconomic status. These practices hinder researchers
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CRAIG, PETER, and JOHN FORBES. "SOCIAL POSITION AND HEALTH: ARE OLD AND NEW OCCUPATIONAL CLASSIFICATIONS INTERCHANGEABLE?" Journal of Biosocial Science 37, no. 1 (2004): 89–106. http://dx.doi.org/10.1017/s0021932003006424.

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There is growing international interest in the choice of socioeconomic indicators for health research. This study used a combination of standard and novel methods to compare three occupation-based measures of social position in terms of their ability to explain variation and measure inequality in self-assessed health. The recently developed National Statistics Socioeconomic Classification (NS-SEC) is compared with its predecessor, the Registrar General’s Social Class schema (RGSC), and with another occupation-based measure, the Cambridge Social Interaction and Stratification Scale (CAMSIS). Wi
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Amare, Tsegaw, Endalkachew Dellie, and Getasew Amare. "Trends of Inequalities in Early Initiation of Breastfeeding in Ethiopia: Evidence from Ethiopian Demographic and Health Surveys, 2000-2016." BioMed Research International 2022 (February 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/5533668.

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Background. Early initiation of breastfeeding (EIBF) is a costless practice with numerous neonates’ survival benefits. Thus, any disparity results in an unacceptably high neonatal death rate but socioeconomic disparities on EIBF have not been well explored in Ethiopia. Therefore, this study is aimed at assessing the socioeconomic inequalities of EIBF in Ethiopia from 2000 to 2016. Methods. The Ethiopian demographic and health survey data and the World Health Organization’s Health Equity Assessment Toolkit were used to investigate the inequalities in EIBF across the wealth quintile, education,
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Ankara, Hasan Giray. "SOCIOECONOMIC VARIATIONS IN INDUCED ABORTION IN TURKEY." Journal of Biosocial Science 49, no. 1 (2016): 99–122. http://dx.doi.org/10.1017/s0021932016000158.

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SummaryThis study aimed to identify the levels of, and socioeconomic variations in, income-related inequality in induced abortion among Turkish women. The study included 15,480 ever-married women of reproductive age (15–49) from the 2003 and 2008 waves of the Turkish Demographic and Health Survey. The measured inequalities in abortion levels and their changes over time were decomposed into the percentage contributions of selected socioeconomic factors using ordinary least square analysis and concentration indices were calculated. The inequalities and their first difference (difference in inequ
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Amornsuradech, Sirinthip, and Warangkana Vejvithee. "Socioeconomic inequality and dental caries among Thai working age population." Journal of Health Research 33, no. 6 (2019): 517–28. http://dx.doi.org/10.1108/jhr-03-2019-0060.

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Purpose The purpose of this paper is to determine the relationship between socioeconomic status (SES) and oral health among Thai adults. Design/methodology/approach This study is a cross-sectional analytical study using secondary data from the 7th Thailand National Oral Health Survey (2012). Age group 35–44 years old samples were used to represent the working age population. Oral health outcome was determined by untreated dental caries. SES was indicated by income, education and occupational groups. Demographic background, oral health-related behavior and access to dental service were adjusted
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Somkotra, T. "P1-523 Socioeconomic-related inequality in oral health risk behaviours among adolescents in Thailand." Journal of Epidemiology & Community Health 65, Suppl 1 (2011): A211. http://dx.doi.org/10.1136/jech.2011.142976h.11.

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Teni, Fitsum Sebsibe, Ulf-G. Gerdtham, Reiner Leidl, et al. "Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population." Quality of Life Research 31, no. 3 (2021): 697–712. http://dx.doi.org/10.1007/s11136-021-02982-3.

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Abstract Purpose This study aimed to investigate inequality and heterogeneity in health-related quality of life (HRQoL) and to provide EQ-5D-5L population reference data for Sweden. Methods Based on a large Swedish population-based survey, 25,867 respondents aged 30‒104 years, HRQoL is described by sex, age, education, income, economic activity, health-related behaviours, self-reported diseases and conditions. Results are presented by EQ-5D-5L dimensions, respondents rating of their overall health on the EQ visual analogue scale (EQ VAS), VAS index value and TTO (time trade-off) index value al
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Devkota, Satis C., and Mukti P. Upadhyay. "How does education inequality respond to policy? A method and application to survey data from Albania and Nepal." Journal of Economic Studies 43, no. 2 (2016): 166–77. http://dx.doi.org/10.1108/jes-09-2014-0156.

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Purpose – The purpose of this paper is to measure inequality in education and examine how socioeconomic factors affect education inequality in Albania and Nepal. Design/methodology/approach – Using large household survey data sets the authors calculate income-related inequality in education and decompose the inequality into factors that determine educational attainment. The decomposition procedure establishes the role played by two sets of factors: elasticities of education demand with respect to its determinants; and inequalities in those determinants. The paper then proposes a new mechanism
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Khoramrooz, Maryam, Fariba Zare, Farideh Sadeghian, Ali Dadgari, Reza Chaman, and Seyed Mohammad Mirrezaie. "Socioeconomic inequalities in employees’ health-enhancing physical activity: Evidence from the SHAHWAR cohort study in Iran." PLOS ONE 18, no. 5 (2023): e0285620. http://dx.doi.org/10.1371/journal.pone.0285620.

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Background Increasing level of physical activity (PA) among working population is of particular importance, because of the high return of investment on employees’ PA. This study was aimed to investigate socioeconomic inequalities in Health-Enhancing Physical Activity (HEPA) among employees of a Medical Sciences University in Iran. Methods Data were extracted from the SHAHWAR Cohort study in Iran. Concentration index (C) and Wagstaff decomposition techniques were applied to determine socioeconomic inequality in the study outcomes and its contributors, respectively. Results Nearly half of the un
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Nglazi, Mweete D., and John E. Ataguba. "Did socioeconomic inequalities in overweight and obesity in South African women of childbearing age improve between 1998 and 2016? A decomposition analysis." PLOS Global Public Health 4, no. 11 (2024): e0003719. http://dx.doi.org/10.1371/journal.pgph.0003719.

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Overweight and obesity in adult women contribute to deaths and disability from non-communicable diseases (NCDs) and obesity-related health problems in their offspring. Globally, overweight and obesity prevalence among women of childbearing age (WCBA) has increased, but associated socioeconomic inequality remains unclear. This study, therefore, assesses the changing patterns in the socioeconomic inequality in overweight and obesity among South African non-pregnant WCBA between 1998 and 2016. It uses data from the 1998 and 2016 Demographic and Health Surveys. Socioeconomic inequality in overweig
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Houghton, Natalia, Ernesto Bascolo, and Amalia del Riego. "Socioeconomic inequalities in access barriers to seeking health services in four Latin American countries." Revista Panamericana de Salud Pública 44 (March 4, 2020): 1. http://dx.doi.org/10.26633/rpsp.2020.11.

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Objective. To present summary measures of socioeconomic inequalities in access barriers to health services in Colombia, El Salvador, Paraguay, and Peru. Methods. This cross-sectional study used data from nationally - representative household surveys in Colombia, El Salvador, Peru, and Paraguay to analyze income-related inequalities in barriers to seeking health services. Households that reported having a health problem (disease/accident) and not seeking professional health care were considered to be facing access barriers. The measures of inequality were the slope index of inequality and relat
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Cuadrado, Cristóbal, Pedro Zitko, Trinidad Covarrubias, et al. "Association Between Adolescent Suicide and Sociodemographic Factors in Chile." Crisis 36, no. 4 (2015): 281–90. http://dx.doi.org/10.1027/0227-5910/a000324.

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Abstract. Background: Adolescent suicide rates (ASR) are a matter of concern worldwide. Causes of this trend are not understood and could correspond to socioeconomic factors such as inequality. Aim: To investigate sociodemographic variables related to ASR, particularly the potential association with indicators of socioeconomic inequality. Method: Cross-sectional ecological study analyzing data from 29 health districts with univariate and multivariable multilevel Poisson models. Results: ASR were higher in male adolescents and at increasing age. No association was found between ASR and inequali
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Armanmehr, Vajihe, Zohreh Shahghasemi, Ali Alami, Sahar Babasafari, and Shahab Rezaeian. "Regional Mental Health Inequality in a Limited Data Region in the Northeast of Iran: A Decomposition Analysis." Journal of Research & Health 13, no. 1 (2023): 11–18. http://dx.doi.org/10.32598/jrh.13.1.100.7.

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Background: Limited information still exists about the distribution of mental health (MH) in small districts. Considering the diversity in cultural specifications of entities in different societies, the current study aimed-assess the inequality of poor MH and corresponding socio-demographic components in a general population. Methods: This population-based cross-sectional study was conducted in Gonabad City, North Eastern Iran. Data were collected by a general health questionnaire-28 (GHQ-28) assess MH status, considering a cut-off point of 23. The concentration index defines the inequality in
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Ravaghi, V., D. S. Hargreaves, and A. J. Morris. "Persistent Socioeconomic Inequality in Child Dental Caries in England despite Equal Attendance." JDR Clinical & Translational Research 5, no. 2 (2019): 185–94. http://dx.doi.org/10.1177/2380084419872136.

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Introduction: Despite a decline in the prevalence of dental caries among children in England and ongoing arrangements for the provision of free dental care up to the age of 18 y, there is limited information on the pattern and trend of socioeconomic inequalities in dental caries and dental attendance. Methods: We estimated the magnitude of deprivation-related inequalities for dental caries and dental attendance in young children, using publicly available data and 2 regression-based summary measures of inequalities: slope index of inequality and relative index of inequality. Results: We found n
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Bintabara, Deogratius, and Namanya Basinda. "Twelve-year persistence of inequalities in antenatal care utilisation among women in Tanzania: a decomposition analysis of population-based cross-sectional surveys." BMJ Open 11, no. 4 (2021): e040450. http://dx.doi.org/10.1136/bmjopen-2020-040450.

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ObjectiveThis study was undertaken to assess the trend and contributors of socioeconomic inequalities in antenatal care (ANC) utilisation among women of reproductive age in Tanzania from 2004 to 2016.DesignPopulation-based cross-sectional surveys.SettingThis study analysed nationally representative data for women of reproductive age obtained from the 2004–2016 Tanzania Demographic Health Surveys.Primary outcome measureThe outcome variables analysed in this study are: (1) attendance of ANC and (2) accessing adequate antenatal care.Analytical methodsThe concentration curve and the concentration
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Hasan, Mohammad Monirul, Jalal Uddin, Mohammad Habibullah Pulok, Nabila Zaman, and Mohammad Hajizadeh. "Socioeconomic Inequalities in Child Malnutrition in Bangladesh: Do They Differ by Region?" International Journal of Environmental Research and Public Health 17, no. 3 (2020): 1079. http://dx.doi.org/10.3390/ijerph17031079.

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Socioeconomic inequality in child malnutrition is well-evident in Bangladesh. However, little is known about whether this inequality differs by regional contexts. We used pooled data from the 2011 and 2014 Bangladesh Demographic and Health Survey to examine regional differences in socioeconomic inequalities in stunting and underweight among children under five. The analysis included 14,602 children aged 0–59 months. We used logistic regression models and the Concentration index to assess and quantify wealth- and education-related inequalities in child malnutrition. We found stunting and underw
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Shibre, Gebretsadik, Betregiorgis Zegeye, Gorems Lemma, Birhan Abebe, and Gashaw Garedew Woldeamanuel. "Socioeconomic, sex and area related inequalities in childhood stunting in Mauritania: Evidence from the Mauritania Multiple Indicator Cluster Surveys (2007–2015)." PLOS ONE 16, no. 10 (2021): e0258461. http://dx.doi.org/10.1371/journal.pone.0258461.

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Introduction The prevalence of stunting in under five children is high in Mauritania. However, there is a paucity of evidence on the extent and the overtime alteration of inequality in stunting. To this end, we did this study to investigate stunting inequality and the change with time using three rounds of Mauritania Multiple Indicator Cluster Surveys. The evidence is important to inform implementation of equitable nutrition interventions to help narrow inequality in stunting between population groups. Methods World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) was used i
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Endalamaw, Aklilu, Charles F. Gilks, and Yibeltal Assefa. "Socioeconomic inequality in adults undertaking HIV testing over time in Ethiopia based on data from demographic and health surveys." PLOS ONE 19, no. 2 (2024): e0296869. http://dx.doi.org/10.1371/journal.pone.0296869.

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Introduction HIV testing is the entry point to HIV prevention, care and treatment and needs continuous evaluation to understand whether all social groups have accessed services equally. Addressing disparities in HIV testing between social groups results in effective and efficient response against HIV prevention. Despite these benefits, there was no previous study on inequality and determinants over time in Ethiopia. Thus, the objective of this research was to examine socioeconomic inequality in individuals undertaking HIV testing over time, allowing for the identification of persistent and eme
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Choi, Eunji, Ha Na Cho, Da Hea Seo, et al. "Socioeconomic inequalities in obesity among Korean women aged 19-79 years: the 2016 Korean Study of Women’s Health-Related Issues." Epidemiology and Health 41 (February 13, 2019): e2019005. http://dx.doi.org/10.4178/epih.e2019005.

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OBJECTIVES: While the prevalence of obesity in Asian women has remained stagnant, studies of socioeconomic inequalities in obesity among Asian women are scarce. This study aimed to examine the recent prevalence of obesity in Korean women aged between 19 years and 79 years and to analyze socioeconomic inequalities in obesity.METHODS: Data were derived from the 2016 Korean Study of Women’s Health-Related Issues. The chi-square test and logistic regression analysis were used to analyze the associations between socioeconomic factors and obesity using Asian standard body mass index (BMI) categories
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Asaria, Miqdad, Sumit Mazumdar, Samik Chowdhury, Papiya Mazumdar, Abhiroop Mukhopadhyay, and Indrani Gupta. "Socioeconomic inequality in life expectancy in India." BMJ Global Health 4, no. 3 (2019): e001445. http://dx.doi.org/10.1136/bmjgh-2019-001445.

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IntroductionConcern for health inequalities is an important driver of health policy in India; however, much of the empirical evidence regarding health inequalities in the country is piecemeal focusing only on specific diseases or on access to particular treatments. This study estimates inequalities in health across the whole life course for the entire Indian population. These estimates are used to calculate the socioeconomic disparities in life expectancy at birth in the population.MethodsPopulation mortality data from the Indian Sample Registration System were combined with data on mortality
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Nguyen, Thi Phuoc Lai, Salvatore G. P. Virdis, and Ekbordin Winjikul. "Inequality of Low Air Quality-Related Health Impacts among Socioeconomic Groups in the World of Work." International Journal of Environmental Research and Public Health 19, no. 19 (2022): 12980. http://dx.doi.org/10.3390/ijerph191912980.

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This research aimed to assess the perceptions of air quality and health symptoms caused by low urban air quality among vulnerable socio-economic groups in the world of work in Bangkok, Thailand through a questionnaire survey of 400 workers of both formal and informal sectors in the five districts with different socio-economic characteristics and levels of air pollution. The findings showed symmetry between air quality-monitoring data and health symptoms of different socio-economic groups but asymmetry between air quality-monitoring data and people’s perceptions of air quality in their areas. I
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Santos, Joana, Irina Kislaya, Liliana Antunes, et al. "Diabetes: Socioeconomic Inequalities in the Portuguese Population in 2014." Acta Médica Portuguesa 30, no. 7-8 (2017): 561. http://dx.doi.org/10.20344/amp.8235.

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Introduction: Diabetes is a major public health problem and it is related to socioeconomic factors. The aim of this study is to describe socioeconomic inequalities in the distribution of diabetes in the population with 25 years or more, resident in Portugal in 2014.Material and Methods: Data from the Health National Survey 2014 was analysed, n = 16 786. We estimated the prevalence of diabetes in the population and stratified by socioeconomic variables namely educational level and income. The extent of socioeconomic inequalities was assessed using concentration index and the relative index of i
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Xu, Yongjian, Siyu Zhu, Tao Zhang, et al. "Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey." International Journal of Environmental Research and Public Health 17, no. 2 (2020): 532. http://dx.doi.org/10.3390/ijerph17020532.

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Lack of adequate dietary knowledge may result in poor health conditions. This study aims to measure income-related inequality in dietary knowledge, and to explain the sources of the inequality. Data were from the China Health and Nutrition Survey (CHNS) conducted in 2015. A summary of the dietary knowledge score and dietary guideline awareness was used to measure the dietary knowledge of respondents. The concentration index was employed as a measure of socioeconomic inequality and was decomposed into its determining factors. The study found that the proportion of respondents who correctly answ
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Högberg, Pi, Göran Henriksson, Carme Borrell, et al. "Monitoring Health Inequalities in 12 European Countries: Lessons Learned from the Joint Action Health Equity Europe." International Journal of Environmental Research and Public Health 19, no. 13 (2022): 7663. http://dx.doi.org/10.3390/ijerph19137663.

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To raise awareness about health inequalities, a well-functioning health inequality monitoring system (HIMS) is crucial. Drawing on work conducted under the Joint Action Health Equity Europe, the aim of this paper is to illustrate the strengths and weaknesses in current health inequality monitoring based on lessons learned from 12 European countries and to discuss what can be done to strengthen their capacities. Fifty-five statements were used to collect information about the status of the capacities at different steps of the monitoring process. The results indicate that the preconditions for m
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Chen, Yiqun, Petra Persson, and Maria Polyakova. "The Roots of Health Inequality and the Value of Intrafamily Expertise." American Economic Journal: Applied Economics 14, no. 3 (2022): 185–223. http://dx.doi.org/10.1257/app.20200405.

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In the context of Sweden, we show that having a doctor in the family raises preventive health investments throughout the life cycle, improves physical health, and prolongs life. Two quasi-experimental research designs—medical school admission lotteries and variation in the timing of medical degrees—support a causal interpretation of these effects. A hypothetical policy that would bring the same health behavior changes and benefits to all Swedes would close 18 percent of the mortality-income gradient. Our results suggest that socioeconomic differences in exposure to health-related expertise may
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Boyd, Jennifer, Clare Bambra, Robin C. Purshouse, and John Holmes. "Beyond Behaviour: How Health Inequality Theory Can Enhance Our Understanding of the ‘Alcohol-Harm Paradox’." International Journal of Environmental Research and Public Health 18, no. 11 (2021): 6025. http://dx.doi.org/10.3390/ijerph18116025.

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There are large socioeconomic inequalities in alcohol-related harm. The alcohol harm paradox (AHP) is the consistent finding that lower socioeconomic groups consume the same or less as higher socioeconomic groups yet experience greater rates of harm. To date, alcohol researchers have predominantly taken an individualised behavioural approach to understand the AHP. This paper calls for a new approach which draws on theories of health inequality, specifically the social determinants of health, fundamental cause theory, political economy of health and eco-social models. These theories consist of
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Debesay, Jonas, Line Nortvedt, and Birgitta Langhammer. "Social Inequalities and Health among Older Immigrant Women in the Nordic Countries: An Integrative Review." SAGE Open Nursing 8 (January 2022): 237796082210849. http://dx.doi.org/10.1177/23779608221084962.

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Introduction The Nordic countries have a surprisingly strong relative socioeconomic health inequality. Immigrants seem to be disproportionately affected due to their social economic position in the host countries. Healthcare professionals, including nurses, have a professional obligation to adhere to fairness and social equity in healthcare. The aim of this review was to identify and synthesize research on health status and the impact of social inequalities in older immigrant women in the Nordic countries. Methods We conducted an integrative review guided by the Whittemore and Knafl integrativ
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Jiang, Jinqi, Wanzhen Huang, Yunru Liu, and Zhenhua Wang. "The Temporal and Spatial Changes of Health Inequality in Rural China." Frontiers in Public Health 10 (February 10, 2022). http://dx.doi.org/10.3389/fpubh.2022.821384.

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This article estimates the temporal and spatial changes of health inequality in rural China from 2010 to 2018. Based on a panel database of 29,616 rural residents, the Health Utility Index (HUI) and a spatial econometric model are used for analysis. The results show that, on the temporal dimension, the health inequality of rural China first expands and then deflates. On the spatial dimension, the health inequality gradually deflates from eastern to western China. Furthermore, from 2010 to 2018, the high and low-value areas constantly changed among different provinces. After decomposing the cau
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Dorjdagva, J., E. Batbaatar, B. Dorjsuren, and J. Kauhanen. "Socioeconomic Inequalities in Mental Health in Mongolia." European Journal of Public Health 30, Supplement_5 (2020). http://dx.doi.org/10.1093/eurpub/ckaa166.1062.

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Abstract Background Promotion of mental health and well-being is recently recognized as a health priority at the global level. In Mongolia, mental health issues have been on the rise. However, less is known on socioeconomic inequality in mental health in the country. The aim of this study is to examine socioeconomic inequality in mental health in the adult population in Mongolia. Methods This study analyzed the data of 30,567 adults from the Household Socio-Economic Survey, collected in 2012 by the National Statistical Office of Mongolia. Self-reported mental health was used as a health outcom
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Alamneh, Tesfa Sewunet, Achamyeleh Birhanu Teshale, Yigizie Yeshaw, et al. "Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis." BMC Women's Health 22, no. 1 (2022). http://dx.doi.org/10.1186/s12905-022-01716-y.

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Abstract Background Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancin
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Alamneh, Tesfa Sewunet, Achamyeleh Birhanu Teshale, Yigizie Yeshaw, et al. "Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis." BMC Women's Health 22, no. 1 (2022). http://dx.doi.org/10.1186/s12905-022-01716-y.

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Abstract Background Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancin
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Shifti, Desalegn Markos, Catherine Chojenta, Elizabeth G. Holliday, and Deborah Loxton. "Socioeconomic inequality in short birth interval in Ethiopia: a decomposition analysis." BMC Public Health 20, no. 1 (2020). http://dx.doi.org/10.1186/s12889-020-09537-0.

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Abstract Background Short birth interval, defined as a birth-to-birth interval less than 33 months, is associated with adverse maternal and child outcomes. Evidence regarding the association of maternal socioeconomic status and short birth interval is inconclusive. Factors contributing to the socioeconomic inequality of short birth interval have also not been investigated. The current study assessed socioeconomic inequality in short birth interval and its contributing factors in Ethiopia. Methods Data from 8448 women collected in the 2016 Ethiopia Demographic and Health survey were included in
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Zubair, Muhammad, Lubna Naz, and Shyamkumar Sriram. "Decomposing socioeconomic inequality in household out of pocket health expenditures in Pakistan (2010-11–2018-19)." BMC Health Services Research 24, no. 1 (2024). http://dx.doi.org/10.1186/s12913-024-11203-9.

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Abstract Background The increased socioeconomic inequality in catastrophic health expenditure (CHE) disproportionately affects disadvantaged populations, subjecting them to financial hardships, limiting their access to healthcare, and exacerbating their vulnerability to morbidity. Objectives This study examines changes in socioeconomic inequality related to CHE and analyzes the contributing factors responsible for these changes in Pakistan between 2010-11 and 2018-19. Methods This paper extracted the data on out-of-pocket health expenditures from the National Health Accounts for 2009-10 and 20
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