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1

Stephan, Kühntopf, Korb Claudia, and Böhm Kathrin, eds. Demographic risk atlas: Facts behind the maps. Klartext Verlag, 2009.

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2

Ang, Andrew. Do demographic changes affect risk premiums?: Evidence from international data. National Bureau of Economic Research, 2003.

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3

Smith, Michael D. Woman abuse in Toronto: Incidence, prevalence, and demographic risk markers. LaMarsh Research Programme, York University, 1988.

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4

Pierre, Ngom, and African Population and Health Research Center., eds. Demographic surveillance and health equity in sub-Saharan Africa: Past and present efforts. African Population & Health Research Center, 2001.

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5

Bohn, Henning. Social security and demographic uncertainty: The risk sharing properties of alternative policies. National Bureau of Economic Research, 1999.

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6

National Center for Environmental Assessment (Washington, D.C.), ed. Sociodemographic data used for identifying potentially highly exposed populations. National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 1999.

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7

M, Flack Susan, ChemRisk, and Colorado. Dept. of Public Health and Environment., eds. Demographic & land use reconstruction of the area surrounding the Rocky Flats Plant. ChemRisk, 1994.

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8

Office, General Accounting. Teen mothers: Selected socio-demographic characteristics and risk factors : report to the Honorable Charles B. Rangel. The Office, 1998.

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9

Horn, Laura. Profile of undergraduates in U.S. postsecondary education institutions: 1992-93 : with an essay on undergraduates at risk. U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics : For sale by the U.S. G.P.O., Supt. of Docs., 1995.

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10

Badiani, Rita. DST/AIDS e a pesquisa nacional sobre demografia e saúde: Uma análise do nível de conhecimento e comportamentos de vulnerabilização. Sociedade Civil Bem-Estar Familiar no Brasil, 1997.

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11

Corporation, TriData, National Fire Data Center (U.S.), and United States. Federal Emergency Management Agency., eds. Socioeconomic factors and the incidence of fire. United States Fire Administration, 1997.

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12

Martini, Santi. Stroke profile in Surabaya, demographic characteristics, arrival time at hospital, warning sign, and risk factors: Laporan hibah kompetitif penelitian untuk publikasi internasional batch I, tahun anggaran 2009. Universitas Airlangga, 2009.

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13

Stone, Leroy O., ed. Key Demographics in Retirement Risk Management. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4044-0.

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14

National Center for Health Statistics (U.S.), ed. Maternal weight gain and the outcome of pregnancy, United States, 1980: An analysis of maternal weight gain during pregnancy by demographic characteristics of mothers and its association with birth weight and the risk of fetal death. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1986.

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15

Cunningham, James K. Homeless persons in Orange County: Demographics, needs, and health-risk behaviors : data report. County of Orange Health Care Agency, Office of Policy Research and Planning, 1993.

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16

Volkov, Sergey. Healthy man and his environment. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1069041.

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The textbook covers modern concepts of health, factors influencing health, health risk factors, human needs and ways to meet them, and the role of nursing staff in the maintenance and promotion of health. Presents the main indicators describing the demographic situation in Russia and the world, anatomical and physiological and psychological characteristics of healthy people of different age, possible problems that could have an impact on health in different age periods.
 The material presented in the textbook contribute to the development of the competencies required of nursing personnel
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17

De Gobbi, Maria Sabrina, Stefan Kühn, Guido Heins, and Ziyodakhon Malikova. Demographic change in Europe and Central Asia. ILO, 2025. https://doi.org/10.54394/utfg0314.

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This paper identifies existing labour market challenges associated with ageing in Europe and Central Asia. It presents a general overview and provides ideas to stimulate social dialogue. In 2024, there were 28 persons aged 65 years and above per 100 persons aged 15 to 64 years and this ratio is projected to rise to 43 by 2050. The proportion of older workers (55 years and above) will increase, while the prime-age workforce (25 to 54 years) will decline. This demographic transition is expected to result in a net loss of 10 million workers in the region by 2050. As pension systems increasingly h
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18

Wilma, Caldwell, and Kimball Chad T, eds. Obesity sourcebook: Basic consumer health information about diseases and other problems associated with obesity, and including facts about risk factors, prevention issues, and management approaches, along with statistical and demographic data, information about special populations, research updates, a glossary, and source listings for further help and information. Omnigraphics, 2001.

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19

Federighi, Paolo, and Francesca Torlone, eds. SMOC-Soft Open Method of Coordination from Prevalet. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-246-2.

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Seven European Regional Governments, together with Earlall and universities and research centres, have undertaken to refine a first draft of a Joint Progress Report of Regions on Implementation of European Lifelong Learning Strategies in the perspective of the Europe 2020 Strategy. The purpose of this exercise is to demonstrate the usefulness and need to make an instrument available to European Regional Governments that helps to understand and evaluate the educational conditions of the regional population when compared with other regions. The Report shows how, over the decade, all the Regional
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20

Federighi, Paolo, and Francesca Torlone, eds. SMOC-Metodo Aperto e Semplificato di Coordinamento da Prevalet. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-254-7.

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Seven European Regional Governments, together with Earlall and universities and research centres, have undertaken to refine a first draft of a Joint Progress Report of Regions on Implementation of European Lifelong Learning Strategies in the perspective of the Europe 2020 Strategy. The purpose of this exercise is to demonstrate the usefulness and need to make an instrument available to European Regional Governments that helps to understand and evaluate the educational conditions of the regional population when compared with other regions. The Report shows how, over the decade, all the Regional
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21

Federighi, Paolo, and Francesca Torlone, eds. SMOC – Sanfte offene Koordinierungsmethode – Soft Open Method of Coordination von Prevalet. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-263-9.

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Seven European Regional Governments, together with Earlall and universities and research centres, have undertaken to refine a first draft of a Joint Progress Report of Regions on Implementation of European Lifelong Learning Strategies in the perspective of the Europe 2020 Strategy. The purpose of this exercise is to demonstrate the usefulness and need to make an instrument available to European Regional Governments that helps to understand and evaluate the educational conditions of the regional population when compared with other regions. The Report shows how, over the decade, all the Regional
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22

Federighi, Paolo, and Francesca Torlone, eds. SMOC – Método Abierto de Coordinación de Prevalet. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-267-7.

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Seven European Regional Governments, together with Earlall and universities and research centres, have undertaken to refine a first draft of a Joint Progress Report of Regions on Implementation of European Lifelong Learning Strategies in the perspective of the Europe 2020 Strategy. The purpose of this exercise is to demonstrate the usefulness and need to make an instrument available to European Regional Governments that helps to understand and evaluate the educational conditions of the regional population when compared with other regions. The Report shows how, over the decade, all the Regional
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23

1944-, Thomas Richard K., ed. The demography of health and health care. Plenum Press, 1992.

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24

Demographic toxicity: Methods in ecological risk assessment. Oxford University Press, 2008.

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25

Stark, John D., H. Resit Akcakaya, and Todd S. Bridges. Demographic Toxicity: Methods in Ecological Risk Assessment. Oxford University Press, 2008.

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26

Demographic Toxicity: Methods in Ecological Risk Assessment(with CD-ROM). Oxford University Press, USA, 2008.

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27

Teenage fertility and its socio-demographic characteristics and risk factors: Further analysis of the Cambodia Demographic and Health Survey. National Institute of Statistics, Ministry of Planning, 2013.

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28

A national socio-demographic 'at risk' index for health and health services research. SAHRU, 1998.

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29

Thomas, Richard K., and Louis G. Pol. The Demography of Health and Health Care Second Edition (The Plenum Series On Demographic Methods And Population Analysis) (The Plenum Series on Demographic Methods and Population Analysis). 2nd ed. Springer, 2000.

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30

Fischer, Anne-Kathrin. Dynamics of Public Risk Perception and Media Coverage: The Cases of Climate Change, Terrorism and Demographic Change. Nomos Verlagsgesellschaft, 2021.

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31

The relationship of Health Belief Model and demographic variables to risk factor behaviors associated with heart disease. 1989.

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32

The relationship of Health Belief Model and demographic variables to risk factor behaviors associated with heart disease. 1991.

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33

Chong, Ji Y., and Michael P. Lerario. Detected Bruit. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190495541.003.0009.

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Carotid stenosis is a risk factor for stroke. Revascularization of high-grade asymptomatic carotid stenosis in select patients can lower the risk of incident stroke. Endarterectomy and stenting are both associated with periprocedural risk. Risks and benefits need to be evaluated carefully before proceeding with any intervention. Certain patient demographic and clinical characteristics, such as female gender, may reduce the benefits of surgery and influence treatment decisions.
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34

International Monetary Fund. Monetary and Capital Markets Department. Republic of Korea: Financial Sector Assessment Program-Technical Note-Systemic Risk Analysis, Financial Sector Stress Testing, and an Assessment of Demographic Shift in Korea. International Monetary Fund, 2020.

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35

International Monetary Fund. Monetary and Capital Markets Department. Republic of Korea: Financial Sector Assessment Program-Technical Note-Systemic Risk Analysis, Financial Sector Stress Testing, and an Assessment of Demographic Shift in Korea. International Monetary Fund, 2020.

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36

International Monetary Fund. Monetary and Capital Markets Department. Republic of Korea: Financial Sector Assessment Program-Technical Note-Systemic Risk Analysis, Financial Sector Stress Testing, and an Assessment of Demographic Shift in Korea. International Monetary Fund, 2020.

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37

Petit, Véronique, Kaveri Qureshi, Yves Charbit, and Philip Kreager, eds. The Anthropological Demography of Health. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862437.001.0001.

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This book provides an integrative framework for the anthropological demography of health, a field of interdisciplinary population research grounded in ethnography and in critical examination of the social, political, and economic histories that have shaped relations between peoples. The field has grown from the 1990s, extending to a remarkable range of key human and policy issues, including: genetic disorders; nutrition; mental health; infant, child and maternal morbidity; malaria; HIV/AIDS; disability and chronic diseases; new reproductive technologies; and population ageing. Collaboration wi
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38

Borgmann, Christoph Hendrik. Social Security, Demographics, and Risk. Springer London, Limited, 2006.

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39

Social Security, Demographics, and Risk. Springer-Verlag, 2005. http://dx.doi.org/10.1007/b137963.

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40

Borgmann, Christoph Hendrik. Social Security, Demographics, and Risk. Springer, 2008.

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41

Borgmann, Christoph Hendrik Hendrik. Social Security, Demographics, and Risk. Springer, 2010.

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42

Survey of health and environmental conditions in Texas border counties and colonias: Technical report. Texas Dept. of Health, 2000.

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43

Gelfand, Alan, and Sujit K. Sahu. Models for demography of plant populations. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.17.

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This article discusses the use of Bayesian analysis and methods to analyse the demography of plant populations, and more specifically to estimate the demographic rates of trees and how they respond to environmental variation. It examines data from individual (tree) measurements over an eighteen-year period, including diameter, crown area, maturation status, and survival, and from seed traps, which provide indirect information on fecundity. The multiple data sets are synthesized with a process model where each individual is represented by a multivariate state-space submodel for both continuous
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44

Key Demographics In Retirement Risk Management. Springer, 2012.

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45

Stone, Leroy O. Key Demographics in Retirement Risk Management. Springer, 2014.

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46

Stone, Leroy O. Key Demographics in Retirement Risk Management. Springer London, Limited, 2012.

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47

Gerlovina, Zhanna. Trait Vulnerability Assessment. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0004.

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This chapter is devoted to the detailed assessment of the trait vulnerability component of imminent suicide risk. Demographic, clinical historic, biological, and cultural aspects of trait vulnerability are discussed in dedicated sections. The demographics section includes age, gender, ethnicity, and LGBT issues. The clinical history section addresses history of mental illness, history of suicide attempts, childhood trauma, parenting style, and attachment style. The biological traits section describes impulsivity, hopelessness and pessimism, perfectionism, fearlessness, and pain insensitivity.
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48

Social Security, Demographics, and Risk (Population Economics). Springer, 2004.

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49

Foster, Cynthia Ewell, Carlos E. Yeguez, and Cheryl A. King. Children and Adolescents With Suicidal Thoughts and Behaviors. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.35.

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Suicide is the second leading cause of death for youth ages 10–19 in the US, with rates on the rise despite a surge in prevention and advocacy initiatives over the last decade. Suicide risk factors may include demographic characteristics, as well as clinical, family, and contextual factors. Best practices in screening and risk assessment and a variety of prevention strategies are reviewed, including universal, selected, and indicated prevention approaches. The evidence for psychosocial and psychopharmacological treatments and crisis intervention strategies is reviewed. The suicide prevention f
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50

Roeder, Larry W. Issues of Gender and Sexual Orientation in Humanitarian Emergencies: Risks and Risk Reduction. Springer, 2016.

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