Individual and Area-Based Indicators of Socioeconomic Status and Childhood Asthma
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Trends and Inequalities in Young Child Nutrition in Rwanda [FA109]
Trends and Inequalities in Young Child Nutrition in Rwanda Further Analysis of the 2014-15 Demographic and Health Survey DHS Further Analysis Reports No. 109 Republic of Rwanda Trends and Inequalities in Young Child Nutrition in Rwanda: Further Analysis of the 2014-15 Demographic and Health Survey DHS Further Analysis Reports No. 109 Jennifer Yourkavitch ICF Rockville, Maryland, USA January 2018 Corresponding author: Jennifer Yourkavitch, International Health and Development, ICF International, 530 Gaither Road, Suite 500, Rockville, MD 20850, USA; phone: +1 301-407-6500; fax: +1 301-407-6501; email: [email protected] Acknowledgment: The author would like to thank Shireen Assaf and Tom Pullum for advice and feedback on data analysis, Rukundo Benedict and Sorrel Namaste for technical input, and Chris Gramer for assistance with the dashboards. Editor: Bryant Robey Document Production: Joan Wardell This report presents findings from a further analysis undertaken as part of the follow-up to the 2014-15 Rwanda Demographic and Health Survey (RDHS). ICF provided technical assistance for the project. This report is a publication of The DHS Program, which is designed to collect, analyze, and disseminate data on fertility, family planning, maternal and child health, nutrition, and HIV/AIDS. Funding was provided by the U.S. Agency for International Development (USAID) through the DHS Program (#AID-OAA-C-13-00095). The opinions expressed here are those of the authors and do not necessarily reflect the views of USAID and other cooperating agencies. The Rwanda Demographic and Health Survey 2014-15 (2014-15 RDHS) was implemented by the National Institute of Statistics of Rwanda (NISR) from November 9, 2014, to April 8, 2015. -
Introducing Risk Inequality Metrics in Tuberculosis Policy Development M.Gabriela M.Gomes, Juliane F
Introducing risk inequality metrics in tuberculosis policy development M.Gabriela M.Gomes, Juliane F. Oliveira, Adelmo Bertolde, Diepreye Ayabina, Tuan Anh Nguyen, Ethel Leonor Noia Maciel, Raquel Duarte, Binh Hoa Nguyen, Priya B Shete, Christian Lienhardt To cite this version: M.Gabriela M.Gomes, Juliane F. Oliveira, Adelmo Bertolde, Diepreye Ayabina, Tuan Anh Nguyen, et al.. Introducing risk inequality metrics in tuberculosis policy development. Nature Communications, Nature Publishing Group, 2019, 10, pp.2480. 10.1038/s41467-019-10447-y. hal-02474655 HAL Id: hal-02474655 https://hal.archives-ouvertes.fr/hal-02474655 Submitted on 11 Feb 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ARTICLE https://doi.org/10.1038/s41467-019-10447-y OPEN Introducing risk inequality metrics in tuberculosis policy development M. Gabriela M. Gomes 1,2, Juliane F. Oliveira 2, Adelmo Bertolde3, Diepreye Ayabina1, Tuan Anh Nguyen4, Ethel L. Maciel5, Raquel Duarte6, Binh Hoa Nguyen4, Priya B. Shete7 & Christian Lienhardt8,9 Global stakeholders including the World Health Organization rely on predictive models for developing strategies and setting targets for tuberculosis care and control programs. Failure 1234567890():,; to account for variation in individual risk leads to substantial biases that impair data inter- pretation and policy decisions. -
Socioeconomic Status and Increasing Mid-Life Mortality Planning Meeting
Socioeconomic Status and Increasing Mid-life Mortality Planning Meeting June 16, 2017 Keck Center of the National Academies Washington, DC 20001 Meeting Summary Revised October 14, 2017 This meeting summary was prepared by Rose Li and Associates, Inc., under contract to the National Institute on Aging HHSN271201400038C/0025. The views expressed in this document reflect both individual and collective opinions of the meeting participants and not necessarily those of the National Institutes of Health, the National Academies of Sciences, Engineering, and Medicine, or any organization represented at the meeting. Writing and editing contributions to earlier versions of this meeting summary by the following individuals is gratefully acknowledged: Jere Behrman, Jason Boardman, Laura Dwyer-Lindgren, Dana Glei, John Haaga, Robert Hummer, Amelia Karraker, Rose Li, Ryan Masters, David Miller, Shannon Monnat, Jennifer Karas Montez, Samuel Thomas, Nancy Tuvesson, Maxine Weinstein, and John Wilmoth. SES and Increasing Mid-Life Mortality Planning Meeting June 16, 2017 Table of Contents Executive Summary ......................................................................................................................... iii Meeting Summary........................................................................................................................... 1 Introduction .............................................................................................................................................. 1 Overview of Trends and Differentials -
Socioeconomic Status (SES) and Psychiatric Disorders*
Soc PsychiatryPsychiatr Epidemiol (1990)25:4147 Social Psychiatryand Spfinger-Verlag1990 Psychiatric Epidemiology Socioeconomic status (SES) and psychiatric disorders* Are the issues still compelling? B. R Dohrenwend New York State PsychiatricInstitute and Social PsychiatryResearch Unit, ColumbiaUniversity, New York, USA Summary. One of the most consistent findings in psychia- Despite these changes in concepts and methods, there tric epidemiology prior to 1980 has been that socioeco- was remarkable consistency in the findings of the first and nomic status (SES) was inversely related to the recent pre- second generation studies with regard to relations be- valence of a variety of important types of disorder. The tween the psychiatric disorders and various demographic findings raised and re-raised major issues about the role of factors, most notably gender and socioeconomic status adversity in these disorders. In recent years, however, re- (SES). For SES, inverse relations were found with total search interest in these issues has been declining. At the rates aggregated across subtypes, for schizophrenia, for same time, marked changes have been taking place in the the personality disorders consisting largely of antisocial case identification and diagnostic procedures available for behaviors and substance abuse, and for symptom scales of epidemiological research. In this paper, I inquire into nonspecific distress (Dohrenwend et al. 1980 a; Dohren- whether these changes in diagnostic concepts and meth- wend 1983). ods have led to a change in the "facts" that gave rise to the These findings have raised and re-raised over the years issues about the role of SES. I rely particularly on results the classic social stress-social selection issue. -
Parental Socioeconomic Status Or IQ? an Exploration of Major Determinants of U.S
Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Smith, Dillon M. 2018. Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty. Student paper, EC970, Department of Economics, Harvard University. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:36853954 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty Dillon M. Smith 4/30/2018 Abstract The Bell Curve by Charles Murray and Richard Herrnstein is one of the most controversial academic works of the last few decades. Using data from the National Longitudinal Survey of Youths (1979), we performed a number of regressions of poverty status in 1989 on parental socioeconomic status, IQ, race, sex, and age. We replicate their results which show that IQ is a more important predictor of poverty status than parental socioeconomic status (SES). We extend their analysis to other groupings and find that, while similar, the underlying relationship between the variables and poverty status varies across groups. We then compared ratios of the percentage of the top 25% to bottom 25% of either IQ or parental SES in poverty. We found that parental SES had three times the predictive power as SES for black respondents and twice the predictive power for Hispanic respondents over whites, also finding a greater proportion of respondents in poverty at all levels for minority groups than for white respondents with a similar relationship for females compared to males. -
Food and Health in Europe: Europe: in Health and Food WHO Regional Publications
Food and health in Europe: Food and health WHO Regional Publications European Series, No. 96 a new basis for action Food and health in Europe: a new basis for action 96 The World Health Organization was established in 1948 as a specialized agency of the United Nations serving as the directing and coordinating authority for international health matters and public health. One of WHO’s constitutional functions is to provide objective and reliable information and advice in the field of human health, a responsibility that it fulfils in part through its publications programmes. Through its publications, the Organization seeks to support national health strategies and address the most pressing public health concerns. The WHO Regional Office for Europe is one of six regional offices throughout the world, each with its own programme geared to the particular health problems of the countries it serves. The European Region embraces some 870 million people living in an area stretching from Greenland in the north and the Mediterranean in the south to the Pacific shores of the Russian Federation. The European programme of WHO therefore concentrates both on the problems associated with industrial and post-industrial society and on those faced by the emerging democracies of central and eastern Europe and the former USSR. To ensure the widest possible availability of authoritative information and guidance on health matters, WHO secures broad international distribution of its publications and encourages their translation and adaptation. By helping to promote and protect health and prevent and control disease, WHO’s books contribute to achieving the Organization’s principal objective – the attainment by all people of the highest possible level of health. -
Download Abstract Book
DEEPER INSIGHT FROM BIG DATA AND SMALL AREAS PORTO | PORTUGAL | 07 - 09 SEPTEMBER 2017 Table 3 Organisation of Contents 4 Venue 5 Social Programme 7 Extra Social Programme 9 Informations 11 Pre-Conference Workshops 11 Modelling spatial and spatio-temporal areal unit data in R with CARBayes 12 Health Applications of Google Earth Engine 13 Scientific Programme 25 Invited Speakers | Short Biographies 85 Plenary Sessions 85 Plenary Session I 87 Plenary Session II 89 Plenary Session III 93 Oral Communications 93 Parallel Session 1 | GIS In Public Health I 103 Parallel Session 2 | Spatial Health Surveillance I 111 Parallel Session 3 | Spatial Health Surveillance II 121 Parallel Session 4 | Spatial Survival And Registry Data Analysis I 127 Parallel Session 5 | Spatial Survival And Registry Data Analysis II 135 Parallel Session 6 | Clustering Of Temporal Trends In Space-Time Disease Mapping 143 Parallel Session 7 | Data Science Applied To Health: Strategies And Tools For Big Data, Machine Learning And Data Mining 151 Parallel Session 8 | Modifiable Areal Unit Issues And Methods 159 Parallel Session 9 | Social Networks And Spatial Epidemiology: Tools, Opportunities And Challenges 167 Parallel Session 10 | Modelling Climate-Sensitive Disease I 173 Parallel Session 11 | Modelling Climate-Sensitive Disease II 183 Parallel Session 12 | Agent-Based Modelling Table of Contents 189 Parallel Session 13 | GIS In Public Health II 203 Parallel Session 14 | Modelling And Inference In Infectious Disease Epidemiology 211 Parallel Session 15 | The Use Of Linked -
Age, Socioeconomic Status and Obesity Growth
NBER WORKING PAPER SERIES AGE, SOCIOECONOMIC STATUS AND OBESITY GROWTH Charles L. Baum II Christopher J. Ruhm Working Paper 13289 http://www.nber.org/papers/w13289 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 August 2007 We thank seminar participants at the National Bureau of Economic Research and Triangle Health Economics Workshop for useful comments, as well as Darius Lakdawalla for help obtaining measures of job-related physical demands. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. © 2007 by Charles L. Baum II and Christopher J. Ruhm. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Age, Socioeconomic Status and Obesity Growth Charles L. Baum II and Christopher J. Ruhm NBER Working Paper No. 13289 August 2007 JEL No. I12 ABSTRACT The rapid growth in obesity represents a major public concern. Although body weight tends to increase with age, the evolution of obesity over the lifecycle is not well understood. We use longitudinal data from the National Longitudinal Survey of Youth to examine how body weight changes with age for a cohort moving through early adulthood. We further investigate how the age-obesity gradient differs with socioeconomic status (SES) and begin to examine channels for these SES disparities. Our analysis uncovers three main findings. First, weight rises with age but is inversely related to SES at given ages. Second, the SES-obesity gradient widens over the lifecycle, a result consistent with research examining other health outcomes such as overall status or specific medical conditions. -
Compounding Health Risks and Increased Vulnerability to SARS-Cov-2 for Racial and Ethnic Minorities and Low Socioeconomic Status Individuals in the United States
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 15 April 2020 doi:10.20944/preprints202004.0234.v1 Compounding Health Risks and Increased Vulnerability to SARS-CoV-2 for Racial and Ethnic Minorities and Low Socioeconomic Status Individuals in the United States Elise M. Myers1 [email protected] 1Columbia University; 535 W 116th Street, New York, NY 10027 Abstract Recent clinical SARS-CoV-2 studies link diabetes, cardiovascular disease, and hypertension to increased disease severity. In the US, racial and ethnic minorities and low socioeconomic status (SES) individuals are more likely to have increased rates of these comorbidities, lower baseline health, limited access to care, increased perceived discrimination, and limited resources, all of which increase their vulnerability to severe disease and poor health outcomes from SARS-CoV- 2. Previous studies demonstrated the disproportionate impact of pandemic and seasonal influenza on these populations, due to these risk factors. This paper reviews increased health risks and documented health disparities of racial and ethnic minorities and low SES individuals in the US. Pandemic response must prioritize these marginalized communities to minimize the negative, disproportionate impacts of SARS-CoV-2 on them and manage spread throughout the entire population. This paper concludes with recommendations applicable to healthcare facilities and public officials at various government levels. Keywords: Coronavirus, COVID-19, comorbidity, race and ethnicity, health disparities Introduction The novel human coronavirus, severe acute respiratory syndrome coronavirus (SARS-CoV-2 or COVID-19), was declared a pandemic by the WHO on March 11, 20201. Since the January 15th arrival of the first documented case in the United States, the disease has been rapidly spreading through the country, reaching every state and the District of Columbia (DC) by March 17th. -
Contributing Factors in Adolescents' Mental Well-Being—The
sustainability Article Contributing Factors in Adolescents’ Mental Well-Being—The Role of Socioeconomic Status, Social Support, and Health Behavior Gabriella Nagy-Pénzes 1,2 , Ferenc Vincze 2 and Éva Bíró 2,* 1 Doctoral School of Health Sciences, University of Debrecen, 26. Kassai Street, 4028 Debrecen, Hungary; [email protected] 2 Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26. Kassai Street, 4028 Debrecen, Hungary; [email protected] * Correspondence: [email protected]; Tel.: +36-52-512-765 (ext. 77405) Received: 16 September 2020; Accepted: 16 November 2020; Published: 18 November 2020 Abstract: Mental disorders are common in adolescents, and for effective interventions we should be aware of their determinants. However, there are only a small number of studies investigating the combined effect of multiple factors. Therefore, our aim is to assess the impact of socioeconomic status, social support, and health behavior on adolescents’ mental well-being. A cross-sectional health survey of 1641 children was carried out in accordance with the study protocol of the Hungarian Health Behavior in School-aged Children survey. Multivariate multiple regression was used to analyze the main determinants of mental well-being. The boys’ mental well-being was favorable compared to girls; lower subjective family wealth was associated with lower life satisfaction and depressive mood. Life satisfaction was positively related to healthy eating, social support, and physical activity. Unhealthy eating, sedentary lifestyle, and lower social support were associated with higher depression scores. Higher social support reduces psychosomatic symptoms, while unhealthy eating and spending a lot of time in front of the computer increase them. -
Health for All? in Recent Years, a Considerable Number of Countries Have Developed and Implemented Strategies Aiming at Reducing Inequalities in Health
Health for all? In recent years, a considerable number of countries have developed and implemented strategies aiming at reducing inequalities in health. However, knowledge of effective policies or strategies to reduce socioeconomic inequalities in health is still very fragmented. The aim of this book is to describe and compare different European health equity strategies and their potential successes. The main part of the material comes from a comparative study of national public health strategies for equity in health with the following participating countries: Denmark, Finland, England, Italy, Netherlands, Norway, Spain and Sweden. National experts wrote the country chapters which not only cover questions concerning whether their countries were taking measures on the individual public health problems – such as smoking, alcohol or physical activity – but also if the policies had considered the wider, social determinants of health and experiences of the potential implementation processes. This publication presents an up-to-date picture concerning equity- oriented public health policies in Europe. However, there is considerable lack of relevant data to enable comprehensive comparisons and analyses of successes and problems with the implementation and monitoring of health equity policies. We hope the book will stimulate continued efforts to harmonise relevant data collections and improve collaborative analyses aiming at shaping an evidence base for policy decisions about the most effective ways to promote equity in health. Health for all? -
The Accuracy of Self-Report Versus Objective Assessment for Estimating Socioeconomic Inequalities in Disease Prevalence in Indonesia
International Journal of Public Health (2019) 64:1233–1241 https://doi.org/10.1007/s00038-019-01301-5 (0123456789().,-volV)(0123456789().,- volV) ORIGINAL ARTICLE The accuracy of self-report versus objective assessment for estimating socioeconomic inequalities in disease prevalence in Indonesia 1,2 2 2 Joko Mulyanto • Dionne S. Kringos • Anton E. Kunst Received: 29 March 2019 / Revised: 11 September 2019 / Accepted: 11 September 2019 / Published online: 17 September 2019 Ó The Author(s) 2019 Abstract Objectives To estimate socioeconomic inequalities in hypertension and asthma prevalence in Indonesia, to compare estimates based on self-report (SR) to those based on objective assessment (OA), and to assess the role of sensitivity and specificity of SR. Methods We used data from the 2014 Indonesia Family Life Survey (n = 34,257). We measured inequalities in hyper- tension and asthma prevalence in relation to educational level and income, using standardised prevalence rate and the relative index of inequality (RII). Using OA as standard, we calculated the sensitivity and specificity of SR. Results For hypertension, reversed inequalities were found when estimated by SR instead of OA (RII for education 0.86, 95% CI 0.74–0.99 vs. RII 1.29, 95% CI 1.16–1.44). For asthma, a similar but even larger reversal of inequalities was found. The sensitivity of SR was low overall, and especially for the lowest education or income group. Conclusions Results imply that the use of SR may lead to underestimation of socioeconomic inequalities in disease prevalence in a low-income country such as Indonesia. The use of OA is recommended for monitoring inequalities in non- communicable disease prevalence.