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  • 1
    ISBN: 9781461474647
    Language: English
    Pages: 1 Online-Ressource (x, 349 Seiten) , Illustrationen
    Parallel Title: Erscheint auch als Global perspectives on social capital and health
    DDC: 302.1
    Keywords: Social capital (Sociology) ; Public health.. ; Infrastructure (Economics) ; Electronic books ; Electronic books ; Aufsatzsammlung
    Abstract: This book is a follow up to Social Capital and Health (2008), edited by Kawachi, Subramanian & Kim. Global Perspectives on Social Capital and Health provides a timely update on emerging topics in a fast-growing field, and features contributions from an outstanding international team of scholars, selected from a diverse range of disciplinary backgrounds including: social epidemiology, medical geography, social psychology, social welfare and gerontology, pediatrics, political science, economics, and medical sociology. The book is organized in three parts: Part 1. Emerging directions in social ca
    Description / Table of Contents: Acknowledgments; Contents; Contributors; Chapter 1: Introduction; 1.1 A Definition of Social Capital; 1.2 Emerging Directions; 1.2.1 Application to Diverse Social Contexts; 1.2.2 Antecedents of Social Capital; 1.2.3 Causal Inference; 1.2.4 Social Capital Interventions; 1.2.5 Fresh Problems and Population Subgroups; 1.3 Social Capital and Social Theory; References; Chapter 2: Workplace Social Capital and Health; 2.1 Social Capital and Other Psychosocial Factors Related to Employee Health; 2.2 Why Is the Workplace an Important Context for Social Capital and Health Research?
    Description / Table of Contents: 2.3 How to Measure Social Capital at Work2.3.1 Measuring Trust; 2.3.2 Multicomponent Measures of Social Capital; Box 2.1. A Short Measure of Social Capital at Workplace; 2.4 Workplace Social Capital and Health; 2.4.1 Findings Regarding Workplace Social Capital and Health in Nonmedical Settings; 2.4.2 Findings Regarding Workplace Social Capital and Health in Medical Settings; 2.5 Cross-National Comparison of Workplace Social Capital: Japan and Finland; 2.5.1 Results from Cross-National Comparisons; 2.5.2 Individual-Level Correlates of Workplace Social Capital by Country
    Description / Table of Contents: 2.5.3 What Do These Comparisons Indicate?2.5.4 What Can We Learn from These Findings?; 2.6 Conclusions; References; Chapter 3: Social Capital in Schools; 3.1 Introduction; 3.2 Social Capital in the Family and Neighborhood Contexts and Well-Being Among Children and Adolescents; 3.3 Why Are Schools an Important Context for Understanding Social Capital?; 3.3.1 Financial Capital and Human Capital in School; 3.3.2 What Is Social Capital in School?; 3.4 School Social Capital and Student Outcomes: The Evidence; 3.4.1 Academic Achievement and Social Adjustment; 3.4.2 Health and Health Risk Behaviors
    Description / Table of Contents: 3.4.3 Effects of School Social Capital on Teachers3.5 How Can Social Capital Among Young People Be Generated and Maintained?; 3.6 Concluding Remarks; References; Chapter 4: Causal Inference in Social Capital Research; 4.1 Threats to Causal Inference; 4.2 Analytical Approaches to Address the Endogeneity of Social Capital; 4.2.1 Instrumental Variable Estimation; 4.2.2 Case Example of IV Estimation: The Taketoyo Intervention Study; 4.2.3 Summary of Social Capital Research Utilizing the IV Estimation Approach; 4.2.4 Tests of Validity of IV Estimates
    Description / Table of Contents: 4.2.5 Experimental Manipulation of Social Capital4.3 Fixed-Effects Models; 4.4 Concluding Remarks; References; Chapter 5: Contextual Determinants of Community Social Capital; 5.1 Analytical Framework of Social Capital and Its Determinants; 5.2 Previous Studies on the Contextual Determinants; 5.2.1 Urbanization and Suburbanization; 5.2.2 Walkability; 5.2.3 Historical Development; 5.3 Some Challenges for Further Study; 5.3.1 Geographical Contexts; 5.3.2 Geographic Scales; 5.4 Policy Implications; 5.5 Conclusion; References; Chapter 6: Neighborhood Social Capital and Crime; 6.1 Introduction
    Description / Table of Contents: 6.2 The Relationship Between Social Capital and Crime
    Note: Literaturangaben
    URL: Volltext  (lizenzpflichtig)
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  • 2
    Language: English
    Pages: 1 Online-Ressource (47 p.)
    Series Statement: OECD Education Working Papers no.165
    Keywords: Education
    Abstract: We assess the relationship between general literacy skills and health status by analysing data from the Programme for the International Assessment of Adult Competencies (PIAAC), an international survey of about 250 000 adults aged 16-65 years conducted by the Organisation for Economic Co-operation and Development (OECD) from 2011-15 in 33 countries/national sub-regions. Across countries, there seems to be a strong and consistent association between general literacy proficiency and self-rated poor health, independent of prior socio-economic status and income. General literacy proficiency also appears to be a mediator of the association between self-education and self-rated poor health. While the literacy-health association is robust over time, it varies in magnitude across countries. It is strongest for those with a tertiary or higher degree and does not appear to exist among young adults (ages 25 to 34 years). Future studies are required to understand the contextual factors that modify the general literacy proficiency-health association.
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  • 3
    ISBN: 3-937333-15-0
    Language: German
    Pages: 160 S. : , Ill., graph. Darst.
    Series Statement: Forschung, Statistik & Methoden 9
    Series Statement: Forschung, Statistik & Methoden
    RVK:
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  • 4
    ISSN: 1660-4601 , 1660-4601
    Language: English
    Pages: 1 Online-Ressource (12 Seiten)
    Publ. der Quelle: Basel : MDPI AG
    Angaben zur Quelle: 15,10
    DDC: 301
    Keywords: advanced sentiment analysis ; digital epidemiology ; geographic information system ; geo-social media ; hotspots ; post-disaster mental health ; psychogeography ; spatial epidemiology ; spatial regimes regression ; Twitter data ; Soziologie und Anthropologie
    Abstract: Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census tracts, applied spatial regimes regression to find associations of discomfort, and used Moran’s I for spatial cluster detection across NYC boroughs over time. We found increased discomfort, that is, bundled negative emotions after the storm as compared to during the storm. Furthermore, pre- and peri-disaster discomfort was positively associated with post-disaster discomfort; however, this association was different across boroughs, with significant associations only in Manhattan, the Bronx, and Queens. In addition, rates were most prominently spatially clustered in Staten Island lasting pre- to post-disaster. This is the first study that determined significant associations of negative emotional responses found in social media posts over space and time in the context of a natural disaster, which may guide us in identifying those areas and populations mostly in need for care.
    Abstract: Peer Reviewed
    Note: This article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 5
    Book
    Book
    Madras : Internat. Inst. of Tamil Studies
    Language: English
    Pages: XXIII, 425 S.
    Edition: 1. ed.
    Series Statement: Publication / International Institute of Tamil Studies [42]
    DDC: 306/.089948
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