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Academic literature on the topic '200201 Determinants of health'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "200201 Determinants of health"

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Bartke, Andrzej, Erin Hascup, Kevin Hascup, and Michal M. Masternak. "Growth Hormone and Aging: New Findings." World Journal of Men's Health 39, no. 3 (2021): 454. http://dx.doi.org/10.5534/wjmh.200201.

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Jorgenson, Derek. "Determinants of Health." Canadian Pharmacists Journal / Revue des Pharmaciens du Canada 142, no. 3 (May 2009): 113. http://dx.doi.org/10.3821/1913-701x-142.3.113.b.

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Sungbun, Songwut, Thitiarpha Tangkawanich, Orruethai Thanakumma, Nadanong Pitchayakoon, and Wimonporn Srichote. "A community-based participatory approach to increase public knowledge of stroke among ethnic minorities in the northern mountains of Thailand." Journal of Public Health and Development 20, no. 2 (May 1, 2022): 1–11. http://dx.doi.org/10.55131/jphd/2022/200201.

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This study examines a stroke education program about knowledge of stroke among community partners that aims to increase the public knowledge of stroke in ethnic minorities. A one-group pre-test/post-test experimental design based on a community-based participatory approach was used in four steps following established community collaboration, planned intervention, community partner recruitment and training, implementation, and evaluation. The study was conducted between September 1, 2019 and February 28, 2020 in Chiang Rai province of Thailand. Purposive sampling was used to select 50 community partners, and cluster random sampling was used to select 419 participants from ethnic minorities. The 50 community partners already trained by researchers in the stroke education program proffered their knowledge of stroke to the ethnic minorities over a period of 1 month. A stroke knowledge questionnaire was used to test stroke knowledge among ethnic minorities before intervention (baseline) and 1 month later (post-intervention). At post-intervention, 60.6% of ethnic minorities could correctly recall more than 3 warning signs of stroke, while 51.3% correctly identified more than 3 risk factors for stroke. The score differed among 159 participants who could not speak Thai pre-intervention (mean=0.03, SD=0.39) and post-intervention (mean=7.52, SD=1.33). There were significant differences in pre-intervention and post-intervention overall stroke knowledge scores of 4 major ethnic groups (mean 0.57, SD=1.63 versus mean 7.62, SD=1.39; t=−67.38, p<.001). The stroke educational program based on community-based participatory research can increase public stroke knowledge and help to overcome cultural and language barriers in ethnic minorities.
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Sungbun, Songwut, Thitiarpha Tangkawanich, Orruethai Thanakumma, Nadanong Pitchayakoon, and Wimonporn Srichote. "A community-based participatory approach to increase public knowledge of stroke among ethnic minorities in the northern mountains of Thailand." Journal of Public Health and Development 20, no. 2 (May 1, 2022): 1–11. http://dx.doi.org/10.55131/jphd/2022/200201.

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This study examines a stroke education program about knowledge of stroke among community partners that aims to increase the public knowledge of stroke in ethnic minorities. A one-group pre-test/post-test experimental design based on a community-based participatory approach was used in four steps following established community collaboration, planned intervention, community partner recruitment and training, implementation, and evaluation. The study was conducted between September 1, 2019 and February 28, 2020 in Chiang Rai province of Thailand. Purposive sampling was used to select 50 community partners, and cluster random sampling was used to select 419 participants from ethnic minorities. The 50 community partners already trained by researchers in the stroke education program proffered their knowledge of stroke to the ethnic minorities over a period of 1 month. A stroke knowledge questionnaire was used to test stroke knowledge among ethnic minorities before intervention (baseline) and 1 month later (post-intervention). At post-intervention, 60.6% of ethnic minorities could correctly recall more than 3 warning signs of stroke, while 51.3% correctly identified more than 3 risk factors for stroke. The score differed among 159 participants who could not speak Thai pre-intervention (mean=0.03, SD=0.39) and post-intervention (mean=7.52, SD=1.33). There were significant differences in pre-intervention and post-intervention overall stroke knowledge scores of 4 major ethnic groups (mean 0.57, SD=1.63 versus mean 7.62, SD=1.39; t=−67.38, p<.001). The stroke educational program based on community-based participatory research can increase public stroke knowledge and help to overcome cultural and language barriers in ethnic minorities.
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Winkelstein, W. "Determinants of worldwide health." American Journal of Public Health 82, no. 7 (July 1992): 931–32. http://dx.doi.org/10.2105/ajph.82.7.931.

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O'Campo, Patricia, Michael Marmot, and Richard Wilkinson. "Social Determinants of Health." Journal of Public Health Policy 21, no. 4 (2000): 486. http://dx.doi.org/10.2307/3343290.

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Moore, Kevin. "Social Determinants of Health." North Carolina Medical Journal 80, no. 5 (August 30, 2019): 306–11. http://dx.doi.org/10.18043/ncm.80.5.306.

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Gerald, Laura. "Social Determinants of Health." North Carolina Medical Journal 73, no. 5 (September 2012): 353–57. http://dx.doi.org/10.18043/ncm.73.5.353.

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Muirhead, Lisa, Katharina V. Echt, Andrea M. Alexis, and Anna Mirk. "Social Determinants of Health." Nursing Clinics of North America 57, no. 3 (September 2022): 329–45. http://dx.doi.org/10.1016/j.cnur.2022.04.002.

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Johnson, Charla B., Brenda Luther, Andrea S. Wallace, and Marjorie Gibson Kulesa. "Social Determinants of Health." Orthopaedic Nursing 41, no. 2 (March 2022): 88–100. http://dx.doi.org/10.1097/nor.0000000000000829.

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Dissertations / Theses on the topic "200201 Determinants of health"

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Young, Jeff C. "Determinants of 2000 meter rowing ergometer performance." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4122.

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Lean body weight and aerobic and anaerobic factors have long been recognized as important determinants of performance in the 2000 met:E!r (M) 1 ace distance for rowing. Current research with noninvasive techniques has important implications for training and performance but is inconclusive. The purpose of this study was to investigate the relationship between a 2000 M rowing ergometer performance test (PT) and lean body weight (LBW), velocity at heart rate deflection (Vd), and anaerobic capacity (AC) in experienced rowers. Vd was used as an estimate of aerobic function. Thirteen trained male rowers (mean age 38.5 ± 8 years) were studied. Hydrostatic weighing at residual lung volume was used to estimate LBW. Each subject performed five exercise tests on a Concept II rowing ergometer: one 2000 M PT, two sub maximal step wise progressive tests to determine Vd (s/500 M), and two maximal 40-s anaerobic tests to determine AC. Intraclass correlation coefficients for the test/retest trials of Vd and AC were R = 0.740 and R = 0.863, respectively. Stepwise multiple linear regression analysis was used to explain variance in PT. The order of entry of each independent variable (and associated multiple R2 at each step) in the analysis was (1) Vd, 0.589; (2) LBW, 0.709; (3) AC, 0.720. The regression equation was PT (s) = 375.66 + 1.093 (Vd) - 0.820 (LBW) - 0.0007 (AC); S.E.E. = 10.01. It was concluded that performance in a 2000 M rowing ergometer PT is primarily dependent on aerobic metabolism and available lean body weight with anaerobic factors contributing to a lesser degree. These results have implications for specific training and team selection.
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Borges, Ana Rita Galrinho. "Catastrophic health care expenditures in Portugal between 2000-2010: Assessing impoverishment, determinants and policy implications." Master's thesis, NSBE - UNL, 2013. http://hdl.handle.net/10362/11592.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
Objectives: This work assesses the extent and evolution of catastrophic health care expenditures (CHE) in Portugal in the years of 2000, 2005 and 2010, to reveal household factors predicting this outcome, and simulates changes in 2010 CHE levels’ following recent reforms in user charges and prices of pharmaceutical products. Methods: The main contribution of this paper is the calculus and analysis of statistical measures to capture CHE incidence, intensity, income distribution and impoverishment effects on households using INE Household Budget Surveys. A logistic model to determine statistical significance and economic effects of 38 variables on the incidence of CHE is also estimated. Finally, a scenario analysis is presented to analyse reforms concerning user charges and prices of pharmaceuticals. Results: Incidence and intensity of CHE decreased between 2000 and 2010, from 5,005% to 2,439% and 4,693% to 0,334%, respectively. During the period, CHE were concentrated amongst the poorer income quintiles. Statistical significance in CHE prediction for all analysed years was observed for households’ income, smoking and drinking habits, area of the house and secondary education of the household head. Scenario analysis shows that the new levels of user charges in 2012, even if mitigated by the new and enlarged economic exemptions, would increase CHE incidence of 2010 to 3,529%. On the other hand, the reduction in the price of ambulatory pharmaceuticals in 2011 and 2012 is effective in reducing CHE incidence, for price demand elasticities equal or smaller (in absolute value) than 0,4. When the two effects are combined, CHE incidence increases, meaning that reductions in the price of pharmaceuticals are not sufficient to countervail the changes in user charges, even with enlarged economic exemptions.
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Cao, Yan, Katie L. Callahan, Sreenivas P. Veeranki, Yang Chen, Ying Liu, and Shimin Zheng. "Vitamin D Status and Demographic and Lifestyle Determinants Among Adults in the United States (NHANES 2001-2006)." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etsu-works/130.

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This study looked at risk factors associated with vitamin D levels in the body among a representative sample of adults in the U.S., NHANES III (2001-2006) data were used to assess the relationship between several demographic and health risk factors and vitamin D levels in the body. The Baseline-Category Logit Model was used to test the association between vitamin D level and the potential risk factors age, education, ethnicity, poverty status, physical activity, smoking, alcohol, obesity, diabetes and total cholesterol with both genders. Vitamin D insufficiency and deficiency were significantly associated with age, race, education, physical activity, obesity, diabetes and total cholesterol level for both genders. Almost half of the adults sampled in these data had vitamin D levels lower than the recommended limits, with the highest frequency among the younger groups. Determining an individual’s vitamin D level is very difficult without proper clinical testing. Many of those who have low vitamin D levels are unaware. With such a high prevalence of individuals with low vitamin D levels in the U.S. and a better understanding of characteristics associated with these lower levels, increased education and prevention efforts should be focused toward those with higher risk characteristics.
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Melo, Francisco RogerlÃndio Martins de. "Mortalidade relacionada Ãs doenÃas tropicais negligenciadas no Brasil, 2000-2011: magnitude, padrÃes espaÃo-temporais e fatores associados." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16018.

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nÃo hÃ
O Brasil à responsÃvel pela maior parte da carga de doenÃa relacionada Ãs DoenÃas Tropicais Negligenciadas (DTNs) na AmÃrica Latina. Foram analisadas as tendÃncias temporais, padrÃes espaÃo-temporais e fatores associados à mortalidade relacionada Ãs DTNs no Brasil. Foi realizada uma sÃrie de estudos ecolÃgicos baseados em dados secundÃrios de mortalidade provenientes do Sistema de InformaÃÃes sobre Mortalidade. Foram incluÃdos todos os Ãbitos relacionados Ãs DTNs registrados no Brasil no perÃodo de 2000 a 2011. A tese foi organizada em sete eixos temÃticos de acordo com suas especificidades metodolÃgicas e doenÃas analisadas: tendÃncias temporais e padrÃes espaÃo-temporais da mortalidade relacionada ao grupo de DTNs (Eixo 1) e DTNs especÃficas com elevado impacto de mortalidade no Brasil (esquistossomose, hansenÃase, neurocisticercose, leishmaniose visceral e coinfecÃÃo leishmaniose visceral e HIV/aids) (Eixos 2 a 6); anÃlise dos fatores socioeconÃmicos, demogrÃficos, ambientais/climÃticos e de assistÃncia à saÃde associados à mortalidade relacionada Ãs DTNs em nÃvel municipal no Brasil, utilizando modelos de regressÃo linear multivariada e regressÃo espacial local (Eixo 7). No perÃodo de estudo, 12.491.280 Ãbitos foram registrados no Brasil. Foram identificadas 100.814 (0,81%) declaraÃÃes de Ãbitos em que pelo menos uma causa de morte relacionada Ãs DTNs foi mencionada. A doenÃa de Chagas foi a DTN mais mencionada (72.827; 72,0%), seguido pela esquistossomose (8.756; 8,7%) e hansenÃase (7.732; 7,6%). O coeficiente mÃdio padronizado de mortalidade foi de 5,67 Ãbitos/100.000 habitantes (intervalo de confianÃa de 95% [IC 95%]: 5,56-5,77). Os maiores coeficientes de mortalidade foram observados em pessoas do sexo masculino, com ≥70 anos de idade, raÃa/cor preta e residente na regiÃo Centro-Oeste. Os coeficientes de mortalidade apresentaram tendÃncia de declÃnio significativo em nÃvel nacional no perÃodo (variaÃÃo percentual anual [APC]: -2,1%; IC 95%: -2,8; -1,3), com diminuiÃÃo da mortalidade nas regiÃes Sudeste, Sul e Centro-Oeste, aumento na regiÃo Norte e estabilidade na regiÃo Nordeste. Foram identificados clusters de alto risco em todas as regiÃes brasileiras, destacando-se um cluster que abrange uma ampla Ãrea geogrÃfica na regiÃo central do Brasil. A anÃlise de regressÃo linear multivariada mostrou uma associaÃÃo global positiva entre a mortalidade relacionada Ãs DTNs e a taxa de urbanizaÃÃo, migraÃÃo, Ãndice de Gini, taxa de desemprego, saneamento inadequado, populaÃÃo de raÃa/cor preta, cobertura do Programa Bolsa FamÃlia e temperatura, enquanto houve uma relaÃÃo negativa com a renda domiciliar, densidade de mÃdicos, extrema pobreza, densidade domiciliar, umidade e precipitaÃÃo. Os resultados da RegressÃo Geograficamente Ponderada (GWR) indicaram variaÃÃes espaciais significativas em todas as associaÃÃes entre as variÃveis explicativas e a mortalidade por DTNs ao longo de todo o paÃs, em que cada fator ecolÃgico teve efeito diferente sobre a mortalidade em diferentes regiÃes brasileiras. As DTNs continuam sendo importantes causas de morte prevenÃveis e um problema de saÃde pÃblica no Brasil. A sobreposiÃÃo geogrÃfica e as Ãreas de alto risco para Ãbitos relacionados Ãs DTNs chamam atenÃÃo para implementaÃÃo de medidas integradas de controle nas Ãreas com maior morbidade e mortalidade. A distribuiÃÃo espacial da mortalidade relacionada Ãs DTNs nos municÃpios brasileiros està correlacionada com indicadores socioeconÃmicos, demogrÃficos e ambientais/climÃticos, com variaÃÃes geogrÃficas significativas. EstratÃgias locais abrangentes e medidas de prevenÃÃo e controle para DTNs devem ser formuladas de acordo com essas caracterÃsticas nas regiÃes endÃmicas brasileiras.
Brazil accounts for most of the disease burden related to Neglected Tropical Diseases (NTDs) in Latin America. We analyzed temporal trends, spatiotemporal patterns and associated factors to NTD-related mortality in Brazil. We performed a series of ecological studies based on secondary mortality data from the Mortality Information System. We included all NTD-related deaths recorded in Brazil from 2000 to 2011. The thesis is organized into seven Thematic Axes according to their methodological characteristics and diseases analyzed: Time trends and spatiotemporal patterns of mortality related to NTDsâ group (Axis 1) and specific NTDs with high mortality impact in Brazil (schistosomiasis, leprosy, neurocysticercosis, visceral leishmaniasis, and visceral leishmaniasis and HIV/AIDS co-infection) (Axes 2 to 6); analysis of socioeconomic, demographic, environmental and health care ecological factors associated with the NTD-related mortality at municipal level in Brazil, using multivariate linear regression and local spatial regression models (Axis 7). During the study period, 12,491,280 deaths were recorded in Brazil. We identified 100,814 (0.81%) death certificates in which at least one cause of death related to NTDs was mentioned. Chagas disease was the most commonly mentioned NTD (72,827; 72.0%), followed by schistosomiasis (8,756, 8.7%) and leprosy (7,732; 7.6%). The average annual age-adjusted mortality rate was 5.67 deaths/100.000 inhabitants (95% confidence interval [95% CI]: 5.56-5.77). The highest mortality rates were observed in males, age group ≥70 years, black race/color and residents in the Central-West region. The mortality rates presented a significant decreasing trend at national level during the period (annual percentage change [APC]: -2.1%; 95% CI: -2.8; -1.3), with decreasing mortality in the Southeast, South and Central-West regions, increase in the North region and stability in the Northeast region. We identified high-risk clusters in all Brazilian regions, highlighting a major cluster covering a wide geographical area in central Brazil. The multivariate linear regression analysis indicated a global positive relationship between NTD-related mortality rates and urbanization, migration, Gini index, unemployment, inadequate sanitation, black population, Bolsa FamÃlia Program coverage and temperature, while there was a negative relationship with household income, density of physicians, extreme poverty, household density, humidity and precipitation. The results of the Geographically Weighted Regression (GWR) models indicated significant spatial variations in all associations between the explanatory variables and NTD-related mortality throughout the country; each ecological factor had a different effect on mortality in the different regions. NTDs remain important causes of preventable death and a public health problem in Brazil. The geographical overlap and areas of high-risk for NTD-related deaths identified call attention to implementation of integrated measures of control in areas with higher morbidity and mortality. The spatial distribution of NTD-related mortality in Brazilian municipalities is correlated with socioeconomic, demographic and environmental/climate factors, with significant geographic variations. Comprehensive local strategies and control and prevention measures for NTDs should be planned according to these characteristics in Brazilian endemic regions.
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Alvarado, Ramírez Gaddy Guillermo, and Guerra Cynthia Paola Mendoza. "Determinantes sociales y desigualdades en la prevalencia de desnutrición crónica infantil en menores de 5 años entre el 2000 y el 2015 en América Latina y el Caribe." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/655143.

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OBJETIVOS: Determinar la desigualdad de la prevalencia de desnutrición crónica infantil en función a algunos determinantes sociales en países de América Latina y el Caribe (ALC)  MÉTODOS: Se realizó un estudio ecológico con los indicadores de desarrollo de la base de datos del Banco Mundial. Se analizaron los indicadores de 19 países (acceso a electricidad y servicios básicos de agua en población rural, PBI per cápita, gasto en salud per cápita). La desigualdad absoluta y relativa se determinó mediante el Índice de Kuznets absoluto, y relativo, la gradiente de la desigualdad a través de índice de las gradientes de la desigualdad, y para la desigualdad proporcional se usó el (índice de concentración de salud) ICS y la curva de concentración. RESULTADOS: la brecha de las desigualdades en la prevalencia de desnutrición crónica infantil entre los países de ALC se mantuvo prácticamente sin cambios significativos a lo largo del periodo estudiado. El 20% de los países con mayor desventaja concentran el 40% de la prevalencia de desnutrición crónica mientras que el 20% de los países con mayor ventaja solo el 7-8%, medido a través del ICS. CONCLUSIONES: A pesar de que en los Objetivos de Desarrollo del Milenio se encontraban eliminar la desnutrición, ésta permanece. La brecha de desigualdad ha disminuido respecto a la gradiente de desigualdad (desigualdad absoluta), sin embargo, la desigualdad proporcional se ha mantenido igual. Para eliminar esta brecha en ALC se deben generar políticas para distribuir de forma más eficiente y equitativa los recursos destinados al gasto en salud y los sectores relacionados, para de esa forma enfocarse en los determinantes sociales debidos.
OBJECTIVES: determinate the inequality of the prevalence of chronic childhood malnutrition according to some social stratifiers in the countries of Latin America and the Caribbean (LAC) METHODS: An ecological study was carried out at the country level with the development indicators of the World Bank database. The indicators of 19 countries will be analyzed (access to electricity and basic water services in rural areas, GDP per capita, health expenditure per capita). The absolute and relative inequality was determined by the absolute and relative Kuznets index, gradient of the inequality through the graduation index of the inequality, in addition, the proportional inequality was calculated through the index of concentration in health and the curve of concentration. RESULTS: the gap of inequalities in the prevalence of chronic child malnutrition in the LAC countries, remained practically without significant changes throughout the period studied. In addition, 20% of the countries with the greatest disadvantage accounted for 40% of the prevalence of chronic malnutrition compared to 20% of the countries with the greatest advantage, which presented 7-8% of the prevalence through the index of concentration on health. CONCLUSIONS: Although the Millennium Development Goals were to eliminate malnutrition, it was not possible to do so. However, the inequality gap has partially decreased. To eliminate it In LAC, wealth should be distributed more efficiently, and equitable resources allocated to health spending and related sectors. As well as generating Policies to address inequalities in and between countries.
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Blanco-Perez, Cristina. "Socioeconomic Determinants of Health." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/113489.

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Aquesta tesi doctoral consisteix en tres articles que analitzen l’efecte de les variables socioeconòmiques en el nivell de salut dels individus. El primer article estudia per primera vegada l’efecte de la polarització de la renda en el nivell de salut dels individus. Aquest treball proposa que la polarització de la renda capta millor alguns dels mecanismes que relacionen la salut i les diferències en renda, com ara la tensió i el conflicte social. Aquests han estat tradicionalment associats a la desigualtat de la renda. Aquesta hipòtesi s’ha testat utilitzant dades de panell per a Espanya. Els principals resultats mostren que la polarització de la renda té un efecte negatiu sobre la salut dels individus. En aquest estudi s’ha considerat no només la polarització entre regions, si no també entre grups de referència, és a dir, que els individus no només es comparen amb altres individus de la mateixa regió, sino també amb individus amb característiques similars. En aquest cas la polarització de la renda només és rellevant quan es considera el grup de referència. Aquests resultats q¨uestionen el què tradicionalment s’ha assumit en la literatura prèvia, on la regió és determinant per a establir grups de referència. El segon article es centra en la relació existent entre la renda relativa i la salut. Tradicionalment les comparacions de la renda entre individus s’han considerat determinants per al nivell de salut individual. Tot i així, els estudis previs s’han basat principalment en les comparacions de la renda “cap amunt”, sense tenir en compte les comparacions amb els individus més pobres. En aquest treball s’utilitza una definició de renda relativa més àmplia per a testar simultàniament l’efecte de les comparacions de la renda “cap a munt” i “cap avall” en la salut dels individus. Aquestes comparacions s’han calculat a través d’un índex de privació i de satisfacció respectivament. L’estudi es basa en les dades del German Socio-Economic Panel data (SOEP) i s’han utilitzat models de dades de panell per a corregir la possible endogeneitat de la renda deguda a variables omeses. Els resultats mostren que la privació de la renda té un efecte positiu, mentre que l’índex de satisfacció té un efecte negatiu sobre el nivell de salut. Aquests resultats són robustos inclús corregint per l’heterogeneïtat no observada i utilitzant mesures de salut “quasi-objectives”. Finalment, el tercer article estudia el poder explicatiu de l’“state depen-dence” en el nivell de salut auto-percebuda per a Espanya durant els anys 1994-2001. Amb aquest objectiu en ment s’han estimat una sèrie de models economètrics, incloent el model de selecció de Heckman on la condició inicial s’ha estimat per primera vegada utilitzant un ordered probit. Els resultats sug-gereixen que l’“state dependence” i la heterogeneïtat no observada expliquen la major part de la probabilitat de presentar un determinat nivell de salut. Al considerar els dos factors anteriors la significativitat de l’heterogeneïtat obser¬vada mesurada a través de les variables socioeconòmiques disminueix. Tot i així, l’“state dependence” perd importància una vegada es millora l’estructura de l’error de les estimacions.
The core of this dissertation consists of three essays that contribute to the understanding of the eect of socioeconomic variables on individual’s health. The rst essay examines the eect of income polarisation on individual health. I argue that polarisation captures much better the social tension and conict that underlie some of the pathways linking income disparities and indi- vidual health, and which have been traditionally proxied by inequality. These premises are tested with panel data for Spain. The main ndings show that polarisation has a detrimental eect on health. Besides dening polarisation between regions, the paper introduces polarisation between reference groups. That is, the relevant comparison group may not be the region but individuals with similar characteristics. In this case polarisation is only relevant between reference groups and not between regions. Thus, these results challenge what has been traditionally assumed in the literature, i.e. that it is regions that matters. The second essay focus on the association between relative income and health. Income comparisons have been found to be important for individual health. However, the literature has so far looked solely at upward compari- sons, disregarding the eects of comparisons with worse-o individuals. In this paper, I use a broad denition of relative income to test simultaneously for the eect of \upward” and \downward” income comparisons on health. Relative deprivation and relative satisfaction indexes are used to summarise upward and downward comparisons. Panel data models are used to correct for income en- dogeneity bias due to omitted variables. Using German Socio-Economic Panel data (SOEP), results show that relative deprivation has a positive eect, while relative satisfaction has a deleterious impact on health. These ndings hold after correcting for unobserved heterogeneity and are robust to using quasi- objective health measures. Finally, the last essay studies the importance of the contribution of state dependence to the explanation of self-assessed health dynamics in Spain for 1994-2001. With this objective in mind, a series of econometric models are estimated including a new proposal for a Heckman selection model with an initial conditions equation run as an ordered probit. Evidence suggests that state dependence and unobserved heterogeneity account for much of the prob- ability of reporting a specic health status while the signicance of observed heterogeneity measured by socioeconomic variables vanishes when controlling for both. Only gender, education and labour status seem to be relevant in explaining health status. However, state dependence looses importance once the error structure of the estimations is improved.
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Wood, David L. "Social Determinants of Health." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/5168.

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Trumble-Waddell, Jan Elizabeth. "Mapping determinants of health behaviours." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0023/NQ32892.pdf.

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Jaishankar, Gayatri. "Social Determinants of Health Screening." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/8873.

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Wood, David L. "New Models of Health and Social Determinants of Health." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/5180.

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Books on the topic "200201 Determinants of health"

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Understanding health: A determinants approach. 2nd ed. Australia: Oxford University Press, 2009.

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Understanding health: A determinants approach. 3rd ed. Australia: Oxford University Press, 2011.

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Galea, Sandro. Macrosocial Determinants of Population Health. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-70812-6.

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Pacyna, Jozef M., and Elisabeth G. Pacyna, eds. Environmental Determinants of Human Health. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43142-0.

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Social determinants and mental health. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Fox, Peter D. Determinants of HMO success. [Rockville, Md.?]: Office of Health Maintenance Organizations, U.S. Public Health Service, 1986.

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Canada. National Crime Prevention Council. Prevention and Children Committee. The determinants of health and children. Ottawa: NCPC, 1996.

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Foley, Ron. Determinants of health project: Workshop guide. Toronto, Ont: Ontario Public Health Association, 1994.

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Sengupta, Keya. Determinants of Health Status in India. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2535-5.

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LuAnn, Heinen, and Steele Richard J, eds. Determinants of HMO success. Ann Arbor, Mich: Health Administration Press Perspectives, 1987.

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Book chapters on the topic "200201 Determinants of health"

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Spiegel, René, Susan Köberle, and Fritz Huber. "Determinants of Successful Aging: Findings from a Study with Ergoloid Mesylates (Hydergine)." In Aging 2000: Our Health Care Destiny, 395–403. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5058-6_32.

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Bryant, Joanne, Annette J. Browne, Sylvia Barton, and Bruno D. Zumbo. "Access to Health Care: Social Determinants of Preventive Cancer Screening Use in Northern British Columbia." In Advances in Quality of Life Research 2001, 243–62. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9970-2_12.

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Low, M. David, and Barbara J. Low. "Health Determinants." In Encyclopedia of Immigrant Health, 65–74. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_5.

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Muhajarine, Nazeem. "Health Determinants." In Encyclopedia of Quality of Life and Well-Being Research, 2717–20. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1246.

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Laverack, Glenn. "Determinants of Health." In A–Z of Health Promotion, 47–50. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-35049-7_17.

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Thompson, Pauline B., and Kerry Taylor. "Determinants of Health." In Sustainable Development Goals Series, 137–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76849-2_7.

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Schatz, Bruce R., and Richard B. Berlin. "History of Health Determinants." In Health Informatics, 25–41. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-452-4_2.

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Kemm, John, and Ann Close. "The determinants of health." In Health promotion, 38–58. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-12971-3_3.

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Sallis, James F., and Philip R. Nader. "Family Determinants of Health Behaviors." In Health Behavior, 107–24. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_6.

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Rich, Megan. "Teaching Social Determinants of Health." In Health Disparities, 221–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12771-8_59.

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Conference papers on the topic "200201 Determinants of health"

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Madmarov, Nurbek, and Metin Bayrak. "Determinants of Maternal Mortality Rate in The Kyrgyz Republic Regions." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.02001.

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Population is an important factor in development of a country. As a constraint, not only the size of the population is important but also its quality in the development process. Women’s health is considered all over the world and the data about this aspect is published by the World Health Organization annually. Among others maternal mortality rate is one of the major problems affecting women’s health and population. Everyday 830 women die due to the problems related to pregnancy and childbirth in the world. While this number is relatively lower in the developed countries, it is higher in the underdeveloped and developing countries. In addition, the maternal mortality rate in the Caucasus and Central Asia ranks in the worst third in the world. In the Kyrgyz Republic, this rate is 82.083333 per 10000 live births which is the worst in the region. Therefore, it is among one of the countries where the maternal mortality should be reduced in the framework of the Millennium Development Goals. In this study, the determinants of maternal mortality rate are analyzed in the Kyrgyz Republic regions during 2000-2015 by using static panel data methods fixed effects and random effects. The findings show that there are significant decreasing effects of GDP, number of assistant physicians, births by skilled staff, improved sanitation facilities, and gender wage equality, there are significant increasing effects of health expenditures, medical facilities, and poverty among women on the maternal mortality.
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Russell, Helen, Bertrand Maitre, Oona Kenny, and Dorothy Watson. "485 The trends and determinants of work-related musculoskeletal disorders (msd) in ireland between 2002 and 2013." In 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.773.

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Istyanto, Febry, Ambar Mudigdo, and Setyo Sri Rahardjo. "Biopsychosocial Determinants Of Hypertension." In The 5th Intenational Conference on Public Health 2019. Masters Program in Public Health, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/theicph.2019.01.05.

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Vilela, Idalina, Dalila Brito, and Noemia Bessa Vilela. "HEALTH DETERMINANTS - THE IMPORTANCE FOR EDUCATION." In 12th International Technology, Education and Development Conference. IATED, 2018. http://dx.doi.org/10.21125/inted.2018.0643.

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Dwi Nurcahyanti, Febrina, and Astri Yunita. "Biopsychosocial Determinants ofBiopsychosocial Determinants of Preeclampsia in Kediri, East Java Preeclampsia in Kediri, East Java." In The 4th International Conference on Public Health. Masters Program in Public Health Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.01.13.

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Asiah, Nur, Yulia Setianingsih, Ahman Sya, and Izza Suraya. "Determinants of Neonatal Mortality in Indonesia." In International Conference on Social Determinants of Health. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010760200003235.

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Puspasari, Heny, and Zafriel Tafa. "Determinants of Sexual Behavior." In 1st International Conference on Science, Health, Economics, Education and Technology (ICoSHEET 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/ahsr.k.200723.094.

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Sulistyo, Siwi Anggraini, Didik Tamtomo, and Endang Sutisna Sulaeman. "Determinants of Patient Satisfaction in Hospital." In The 6th International Conference on Public Health 2019. Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/the6thicph.04.19.

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Barida, Iram, Mochamad Iqbal Nurmansyah, and Mizna Sabilla. "An Evaluation of Youth Care Health Program (PKPR) in Public Health Center in Jakarta, Indonesia." In International Conference on Social Determinants of Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008380500560060.

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Eriksson, Leif G. "Lessons Learned at the Waste Isolation Pilot Plant: Share, Listen, and Learn to Earn Stakeholder Acceptance." In ASME 2001 8th International Conference on Radioactive Waste Management and Environmental Remediation. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/icem2001-1254.

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Abstract On March 26, 1999, the United States (U.S.) Department of Energy (DOE) opened the nation’s first deep geological disposal system (repository) for long-lived radioactive wastes/materials (LLRMs) at the Waste Isolation Pilot Plant (WIPP) site, New Mexico, United States of America (USA). The opening of WIPP embodies gradually achieved acceptance, both local and global, on scientific, institutional, regulatory, political, and public levels. In the opinion of the author, five significant determinants for the successful siting, certification, and acceptance of WIPP, were the existence of: • A willing and supportive host community; • A strong, independent regulator; • A regulatory framework widely perceived to (over)protect public health and the environment; • A structurally simple, old, stable, host-rock with excellent radionuclide containment and isolation characteristics; and • An open siting, site characterization, repository development, certification and recertification process with regularly scheduled opportunities for information exchanges with affected and interested parties, including a) prompt responses to non-DOE concerns and b) transparency/traceability of external-input into, and the logic behind, the DOE’s decision-making process. The nation’s and the world’s next deep geological repository for LLRMs is currently scheduled to open in 2010. As follows, in addition to providing a national solution to safe disposal of LLRMs, the opening and continued safe operation of WIPP provides an international role model that effectively dispels the global myth that LLRMs cannot be safely disposed in a deep geological repository.
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Reports on the topic "200201 Determinants of health"

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Friedman, Nicole Lisa. Impactful Care: Addressing Social Determinants of Health Across Health Systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6957.

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Han, Hahrie. Collective Action and the Social Determinants of Health. Milbank Memorial Fund, November 2021. http://dx.doi.org/10.1599/mqop.2021.1102.

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McNamara, Aoife, Charles Normand, and Brendan Whelan. PATTERNS AND DETERMINANTS OF HEALTH CARE UTILISATION IN IRELAND. The Irish Longitudinal Study on Ageing, February 2013. http://dx.doi.org/10.38018/tildare.2013-00.

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Adjei-Mantey, Kwame, and Charles Yuji Horioka. Determinants of Health Insurance Enrollment and Health Expenditure in Ghana: An Empirical Analysis. Cambridge, MA: National Bureau of Economic Research, June 2022. http://dx.doi.org/10.3386/w30175.

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Dupas, Pascaline, and Edward Miguel. Impacts and Determinants of Health Levels in Low-Income Countries. Cambridge, MA: National Bureau of Economic Research, May 2016. http://dx.doi.org/10.3386/w22235.

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Virgin, Vicky, and Robert Warren. Mapping Key Determinants of Immigrants’ Health in Brooklyn and Queens. Center for Migration Studies, February 2021. http://dx.doi.org/10.14240/cmsrpt0221.

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Hinnant, Laurie, Sara Hairgrove, Heather Kane, Jason Williams, and Jessica Duncan Cance. Social Determinants of Health: A Review of Publicly Available Indices. RTI Press, November 2022. http://dx.doi.org/10.3768/rtipress.2022.op.0081.2212.

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In recent years, the number of publicly available tools and indices assessing social determinants of health (SDOH) has grown exponentially. While many of these indices have been developed to assist researchers and practitioners with identifying vulnerable communities, it is difficult to determine the most appropriate measure, index, or combination of indices to use given the research question of interest. This paper presents an overview of the most commonly included indices, highlights commonalities, and identifies some differences in what they measure. We also discuss challenges with using these measures, including the use of state level data to examine local level issues and how the use of atheoretical indices challenges the application of SDOH measurement. Findings are intended to provide researchers and practitioners with information about SDOH data available through these common indices to inform how they are applied based on the needs of their work.
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Matsuo, Hideko, and Koen Matthijs. The life course and subjective well-being across generations – an analysis based on cross-national surveys (2002–2016). Verlag der Österreichischen Akademie der Wissenschaften, July 2021. http://dx.doi.org/10.1553/populationyearbook2021.res4.2.

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This paper identifies subjective well-being trajectories through happiness measures as influenced by time, socio-economic, demographic and behavioural determinants. Hierarchical age-period-cohort models are applied to European Social Survey (2002–2016) data on the population aged 30 and older in 10 countries. A U-shaped relationship between age and happiness is found for some countries, but a rather flat pattern and considerable diversity beyond age 80 are detected for other countries. Lower happiness levels are found for baby boomers (1945–1964) than for preboomers and post-boomers, and also for late boomers (1955–1964) than for early boomers (1945–1954). Women, highly educated and native people are shown to have higher happiness levels than men, less educated and non-native people, respectively. Moreover, a positive assessment of income, having a partner, and being a parent, in good health, employed and socially active are all found to have a positive impact on happiness levels. We find evidence of gaps in happiness levels due to differences in socio-economic characteristics over the life course in some, but not in all of the countries analysed.
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Dwyer, Debra Sabatini, and Olivia Mitchell. Health Problems as Determinants of Retirement: Are Self-Rated Measures Endogenous? Cambridge, MA: National Bureau of Economic Research, April 1998. http://dx.doi.org/10.3386/w6503.

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McDonough, John. Good News on Social Determinants of Health through Preventing Tenant Evictions. Milbank Memorial Fund, January 2022. http://dx.doi.org/10.1599/mqop.2022.0120.

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