The relationship between anxiety disorders and income inequality in santiago, chile. a secondary analysis of household survey data.
Páginas: 89 (22095 palabras)
Publicado: 3 de octubre de 2010
Charité Universitätsmedizin Berlin, Freie Universität and Humboldt-Universität zu Berlin
The relationship between anxiety disorders and income inequality in Santiago, Chile. A secondary analysis of household survey data.
Master’s thesis submitted to the Charité Universitätsmedizin Berlin, Freie Universität and Humboldt Universität Berlin In partial fulfillment of the requirements for theaward of a Master of Science degree in International Health.
By Pablo Pérez Díaz
December, 2009
1
Table of contents
Page 1) List of abbreviations 2) Executive Summary 3) Background and objectives. 3.1- Introduction 3.2- Anxiety disorders and unspecific anxiety symptoms linked to sociodemographic variables 3.3- Income inequality 3.4- Gini coefficient 3.5- Local findings and relevanceof studying the relationship between income inequality and mental health status. 3.5.1- Findings of the original study “Common mental disorders in Santiago”. 3.6- State investment on Public Health 3.7- Aim of the study 3.8- Objectives and research hypotheses 3.8.1- Overall objective 3.8.2- Research hypotheses 3.8.3- Specific objectives 4) Research Methods 4.1- Study design 4.2- Methodology Plan4.3- Data collection 4.4- Data analysis 22 22 24 24 24 24 25 25 25 26 27 27 2 19 14 16 18 5 6 8 8
Page 5) Results 5.1- Prevalence of anxiety mental disorders and symptoms associated according to socioeconomic factors and income inequality index (Gini coefficient). 5.2- Likelihood of prevalence for anxiety disorders and symptoms associated in relation to the sociodemographic variables and incomeinequality index. 6) Discussion 7) Conclusions 8) References 9) Annexes 9.1- Annex n°1. Declaration of originality of work 9.2- Annex n°2 Table n° 9: Description of the Dependent Variables. 9.3- Annex n°3 Table n° 10: Description of the Independent Variables. 10) Acknowledgements. 11) Curriculum Vitae. 68 69 70 67 41 45 55 58 66 66 30 29
3
Thesis supervisor: Phd Stefan Weinmann Secondmarker:
4
1) List of abbreviations CI: Confidence interval. CIS-R: Clinical Interview Schedule Revised. CMD: Common mental disorder. DALYS: Disability adjusted life years. GAD: Generalized anxiety disorder ICD 10: International Classification of Diseases 10th revision. INEQDEC0: Stata module to calculate inequality indexes with decomposition by subgroup when 0 values or negative values arepresent. ME : Maximum likelihood estimation. MIDEPLAN: Ministerio de planificación (Ministry of planning). OR: Odds ratio. POR: Prevalence odds ratio. SPSS: Statistical package for social sciences. STATA: Data analysis and statistical software. SDV: Sociodemographic variables. WHO: World Health Organization.
5
2)Executive summary Background: Several studies have been conducted to assess therelation between the prevalence of common mental disorders and sociodemographic variables, focusing on income or income inequality on an individual or neighborhood level as possible explanatory variables. However there is not a complete agreement between researchers. In addition, just a few studies have been conducted on symptoms for CMDs and sociodemographic variables in Santiago de Chile. In thepresent study, the relationship between the most prevalent anxiety disorders (generalized anxiety disorder and phobias) and symptoms associated (worries, anxiety, phobias, economic worry as main symptom) with sociodemographic variables (Income and income inequality as well as age, employment status, length of unemployment, health insurance, type of housing, housing ownership and education) wasexplored. Methods: This study was based on a cross-sectional household survey performed by Araya et al (2001) in Santiago de Chile. The data was obtained by the authors and corresponds to a probabilistic sampling design, where the 35 boroughs of Santiago were taken in consideration. 252 sectors and 4693 households were randomly selected with a proportional probability to the size of the sample units....
The relationship between anxiety disorders and income inequality in Santiago, Chile. A secondary analysis of household survey data.
Master’s thesis submitted to the Charité Universitätsmedizin Berlin, Freie Universität and Humboldt Universität Berlin In partial fulfillment of the requirements for theaward of a Master of Science degree in International Health.
By Pablo Pérez Díaz
December, 2009
1
Table of contents
Page 1) List of abbreviations 2) Executive Summary 3) Background and objectives. 3.1- Introduction 3.2- Anxiety disorders and unspecific anxiety symptoms linked to sociodemographic variables 3.3- Income inequality 3.4- Gini coefficient 3.5- Local findings and relevanceof studying the relationship between income inequality and mental health status. 3.5.1- Findings of the original study “Common mental disorders in Santiago”. 3.6- State investment on Public Health 3.7- Aim of the study 3.8- Objectives and research hypotheses 3.8.1- Overall objective 3.8.2- Research hypotheses 3.8.3- Specific objectives 4) Research Methods 4.1- Study design 4.2- Methodology Plan4.3- Data collection 4.4- Data analysis 22 22 24 24 24 24 25 25 25 26 27 27 2 19 14 16 18 5 6 8 8
Page 5) Results 5.1- Prevalence of anxiety mental disorders and symptoms associated according to socioeconomic factors and income inequality index (Gini coefficient). 5.2- Likelihood of prevalence for anxiety disorders and symptoms associated in relation to the sociodemographic variables and incomeinequality index. 6) Discussion 7) Conclusions 8) References 9) Annexes 9.1- Annex n°1. Declaration of originality of work 9.2- Annex n°2 Table n° 9: Description of the Dependent Variables. 9.3- Annex n°3 Table n° 10: Description of the Independent Variables. 10) Acknowledgements. 11) Curriculum Vitae. 68 69 70 67 41 45 55 58 66 66 30 29
3
Thesis supervisor: Phd Stefan Weinmann Secondmarker:
4
1) List of abbreviations CI: Confidence interval. CIS-R: Clinical Interview Schedule Revised. CMD: Common mental disorder. DALYS: Disability adjusted life years. GAD: Generalized anxiety disorder ICD 10: International Classification of Diseases 10th revision. INEQDEC0: Stata module to calculate inequality indexes with decomposition by subgroup when 0 values or negative values arepresent. ME : Maximum likelihood estimation. MIDEPLAN: Ministerio de planificación (Ministry of planning). OR: Odds ratio. POR: Prevalence odds ratio. SPSS: Statistical package for social sciences. STATA: Data analysis and statistical software. SDV: Sociodemographic variables. WHO: World Health Organization.
5
2)Executive summary Background: Several studies have been conducted to assess therelation between the prevalence of common mental disorders and sociodemographic variables, focusing on income or income inequality on an individual or neighborhood level as possible explanatory variables. However there is not a complete agreement between researchers. In addition, just a few studies have been conducted on symptoms for CMDs and sociodemographic variables in Santiago de Chile. In thepresent study, the relationship between the most prevalent anxiety disorders (generalized anxiety disorder and phobias) and symptoms associated (worries, anxiety, phobias, economic worry as main symptom) with sociodemographic variables (Income and income inequality as well as age, employment status, length of unemployment, health insurance, type of housing, housing ownership and education) wasexplored. Methods: This study was based on a cross-sectional household survey performed by Araya et al (2001) in Santiago de Chile. The data was obtained by the authors and corresponds to a probabilistic sampling design, where the 35 boroughs of Santiago were taken in consideration. 252 sectors and 4693 households were randomly selected with a proportional probability to the size of the sample units....
Leer documento completo
Regístrate para leer el documento completo.