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1

Office, Philippines National Statistics, ed. Romblon in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Aurora in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Benguet in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Antique in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Apayao in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Basilan in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Masbate in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Mt. Province in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Office, Philippines National Statistics, ed. Surigao del Sur in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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10

Zmud, Johanna P., Vincent P. Barabba, Mark Bradley, J. Richard Kuzmyak, Mia Zmud, and David Orrell. Strategic Issues Facing Transportation, Volume 6: The Effects of Socio-Demographics on Future Travel Demand. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22321.

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11

The demographics of immigration: A socio-demographic profile of the foreign-born population in New York State. New York: Center for Migration Studies, 1992.

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12

Batanes in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Abra in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Kalinga in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Eastern Samar in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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Tawi-Tawi in focus: Its demographics and socio-economic profile. Manila: Republic of the Philippines, National Statistics Office, 1999.

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17

Mancilla-Martinez, Jeannette. Laying out the landscape: Spanish-speaking language minority learners' socio-demographics, language, and reading development. 2009.

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18

Youssef, Nadia H. The Demographics of Immigration: A Socio-Demographic Profile of the Foreign-Born Population in New York State. Center Migration Studies, 1991.

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19

Youssef, Nadia H. The Demographics of Immigration: A Socio-Demographic Profile of the Foreign-Born Population in New York State. Center for Migration Studies of New York, 1991.

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20

Levashov, Victor K., G. V. Osipov, T. K. Rostovskaya, S. V. Ryazantsev, and N. M. Velikaya. Pandemic challenges and the strategic agenda for society and the state: the socio-political situation and demographics in 2021. Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Moscow, Russian Federation, 2021. http://dx.doi.org/10.19181/monogr.978-5-89697-384-3.2021.

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В монографии изложены результаты научных исследований, выполненных сотрудниками ИСПИ ФНИСЦ РАН и ИДИ ФНИСЦ РАН в рамках тематики государственных заданий Министерства науки и высшего образования Российской Федерации. Главным событием 2021 года, определившим социально-политическую ситуацию в стране, стала пандемия COVID-19. Важнейшим для страны политическим событием стало проведение выборов в Государственную Думу Федерального Собрания Российской Федерации восьмого созыва. COVID-кризис приходится преодолевать в условиях резко ухудшившихся отношений между нашей страной и странами Запада и их сателлитами. В монографии отражены результаты исследований социально-политической и социально-демографической ситуации в стране, проведенных сотрудниками института и касающихся актуальных проблем жизнедеятельности российского гражданского общества и социального государства. Монография адресована исследователям, аналитикам, преподавателям, аспирантам, студентам, специализирующимся на изучении социально-политических процессов, и социально-демографических процессов, политикам, организаторам и активистам избирательных кампаний, управленческому персоналу.
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21

Women, Work and Welfare in the Middle East and North Africa: The Role of Socio-Demographics, Entrepreneurship and Public Policies. World Scientific Publishing Co Pte Ltd, 2016.

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22

Brar, Jaspreet S. Epidemiology of Schizophrenia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199331505.003.0003.

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Epidemiology can help us understand who is at risk for developing a disorder, what may happen to them, and perhaps even why people get the disorder to begin with. In this chapter, we will review the incidence and prevalence of schizophrenia and related psychotic disorders, as well as factors affecting such rates. Risk factors for psychosis include socio-demographics (e.g., gender, age, migrant status, class), predisposing factors (e.g., season of birth, perinatal trauma), and precipitating factors (e.g., substance use, psychosocial stress). We will highlight controversial issues such as traumatic life events, prenatal infection, and cannabis use, considering how epidemiological factors can shed light on the pathogenesis of schizophrenia and related illnesses.
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23

Winkley, Kirsty, Ebaa Al-Ozairi, and Boon-How Chew. Cultural and global perspectives. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198789284.003.0017.

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Depression and disease-related psychological problems in type 2 diabetes (T2DM), termed diabetes distress (DD), is a global problem and negatively impacts quality of life, self-management, and cardiovascular mortality. However, risk factors for and consequences of emotional distress vary and have different cultural meaning. In the East and low- to middle-income countries (LMIC), contextual factors, socio-demographics, low socio-economic status, and sub-optimal health/medical services predispose DD more than in the West and high-income countries (HIC). People from non-Western and LMIC may hold a more stigmatizing view of depression leading to mislabelling depression due to somatization, underdiagnosis, and a lack of clinical care. The prevalence of depression and DD is generally double in LMIC compared with HIC. There is a lack of direct and good-quality evidence of depression and DD’s effects on clinical outcomes, therefore improving access to effective treatment for depression and DD remains a global challenge.
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24

Lehmann, Karsten, and Wolfram Reiss, eds. Religiöse Vielfalt in Österreich. Nomos Verlagsgesellschaft mbH & Co. KG, 2022. http://dx.doi.org/10.5771/9783748910886.

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The publication provides a compact, up-to-date and easily understandable insight into Austria's religious diversity. In the introduction, the concept of religion is described, an outline of developments in the history of religions and legal history in dealing with religions is given, and developments in the demographics of religion in Austria are outlined. Then, the entire religious landscape of Austria is examined from the perspective of socio-cultural studies of religions. This includes small groups, agnostic and atheistic traditions. The focus is on internal diversity and the present. Finally, the relation of Austria's religions with different areas of society (education, art, media, politics, economy, law) is portrayed by scholars of the respective disciplines. With contributions by Moritz Bauer, Monica Ender, Johann Figl, Anne Goujon, Frank Hinkelmann, Franz Höllinger, Horst Junginger, Yuval Katz-Wilfing, Gerhard Langer, Carsten Lehmann, Rüdiger Lohlker, Wolfgang Mayrhofer, Michael Meyer, Günther Oberhollenzer, Lukas Pokorny, Regina Polak, Michaela Potancoková, Wolfram Reiss, Claudia Reiter, Sieglinde Rosenberger, Martin Rothgangel, Stefan Schima, Kristina Stoeckl, Kerstin Tretina, Franz Winter, Robert Wurzrainer and Paul Wuthe.
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Lewis, Catherine F. Gender-specific treatment. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199360574.003.0051.

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Despite a roughly equal number of men and women in the general population, women consistently have lower rates of incarceration than their male peers. The difference is not trivial; there are 10 men incarcerated for each woman in the United States. The correctional system was confronted with issues specific to female inmates in part as a product of the War on Drugs from the mid-1980s to the mid-1990s. During this period, the number of women incarcerated rose 888%. The bulk of this rise was attributable to arrests for non-violent drug related charges. As the correctional system began to experience an influx of women, it became clear that they were different from their male peers. The differences included epidemiology of psychiatric disorders, intensity of health service utilization, social stressors, and patterns of offending. The logical question arose as to whether women needed a different treatment approach in the correctional system than men. The term ‘gender responsive programming’ emerged and represented the idea that women have specific needs distinct from male peers that could best be met with treatment designed for women. The purpose of this chapter is to describe, given the current knowledge base: the patterns of offending and arrests for women versus men; the socio-demographics of incarcerated women; the psychopathology exhibited by incarcerated women; and finally, how best to treat incarcerated women and implement this treatment within jails and prisons.
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