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Libri sul tema "Sociodemographics factors"

Autore: Grafiati
Pubblicato: 2 novembre 2024

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1

Surles, Kathryn. Infant death: Sociodemographic and medical risk factor analyses for North Carolina. State Center for Health and Environmental Statistics, 1994.

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2

Surles, Kathryn. Infant death: Sociodemographic and medical risk factor analyses for North Carolina. State Center for Health and Environmental Statistics, 1994.

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3

Ries, Peter W. Health care coverage by sociodemographic and health characteristics, United States, 1984. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1987.

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4

Kravdal, Øystein. Sociodemographic studies of fertility and divorce in Norway with emphasis on the importance of economic factors. Statistisk sentralbyrå, 1994.

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5

Sheinfeld, Shoshana Alexa. Urban Planning Solutions for a Public Health Crisis: COVID-19 Related Sociodemographic Factors and Stressors Impacting Pediatric Oncology Patients and Their Families. [publisher not identified], 2020.

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6

Spirito, Anthony, Kimberly O'Brien, Megan Ranney, and Judelysse Gomez. The Evaluation and Management of Suicide Risk in Adolescents in the Context of Interpersonal Violence. Edited by Phillip M. Kleespies. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199352722.013.4.

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In this chapter, risk factors for suicidal ideation and behavior are reviewed, including sociodemographics, prior suicidal behavior, nonsuicidal self-injury, depression, anxiety, substance use, family factors, physical and sexual abuse, sexual orientation, and access to firearms. Special emphasis is placed on the intersection of suicidality and interpersonal violence in terms of reciprocal risk. A review of the core areas to address in the acutely suicidal adolescent or the adolescent who has recently attempted suicide is also provided. Clinical questions regarding the adolescent’s current emotional state, suicidal ideation/intent, reasons for suicidality, access to means, and capability of the environment to keep the adolescent safe are suggested. The chapter concludes with a discussion of safety planning.
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7

Bankole, Taofik Olatunji. Sociodemographic Factors, Breastfeeding Practices and Infant Mortality in Northern Nigeria. GRIN Verlag GmbH, 2017.

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8

Reiss, Monica G. Sociodemographic, organizational, and behavioral factors influencing amniocentesis utilization: An exploratory study. 1990.

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9

Sociodemographic factors in the epidemiology of multiple sclerosis: An annotated bibliography. Greenwood Press, 1990.

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10

Skeen, Michael Paul. The effects of maternal sociodemographic and socioeconomic factors, state healthcare expenditures, and state unemployment percentages in association to the infant mortality rate of Virginia and West Virginia. 2003.

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11

Lally, John, and James H. MacCabe. Epidemiology, impact, and predictors of treatment-resistant schizophrenia. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198828761.003.0004.

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Treatment-resistant schizophrenia (TRS) is a disabling psychotic disorder that affects approximately 30% of those diagnosed with schizophrenia. In a significant proportion (about 70%) of patients with TRS, their illness is treatment-resistant from onset (early or primary treatment resistance), whilst, in the remainder, treatment resistance develops during the course of illness (late or secondary treatment resistance). TRS is associated with reduced quality of life and increased social and economic burden. Multiple sociodemographic, clinical, and biological risk factors have been assessed in relation to TRS, but their interpretation remains limited owing to methodological variation, lack of replicability, and a paucity of longitudinal studies. This chapter will review the epidemiology, societal and economic burden, and risk factors associated with TRS.
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12

Torrent, Carla, Caterina del Mar Bonnin, and Anabel Martinez-Arán. Functional remediation therapy for bipolar disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0014.

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Impairment in functional outcome is commonly observed even when patients are euthymic and includes multiple areas of functioning. Many factors such as sociodemographic, clinical, pharmacological, and neurocognitive variables have been associated with functional impairment. The term ‘functional remediation’ has been coined to define an innovative strategy aimed at targeting the critical factors for full psychosocial adjustment and functional recovery in the context of psychoses and more specifically bipolar disorders. Functional remediation involves not only neurocognitive techniques and training but also psychoeducation on cognition-related issues and problem-solving within an ecological framework. The inclusion of context processing, performance monitoring, encoding, and manipulation of the information as well as fostering compensatory strategies must be included in the functional remediation intervention. In this regard, real-world problems affecting daily functioning are used for bipolar disorder to be transferred to daily practice.
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13

Keysar, Ariela. Religious/Nonreligious Demography and Religion versus Science. Edited by Phil Zuckerman and John R. Shook. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199988457.013.3.

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This chapter provides sociodemographic profiles (by gender, age, and education) of a full spectrum of people around the world. People who call themselves “not religious” are compared with those who define themselves as “atheist” and also with those who say that they are “religious.” The beliefs of these distinct three groups are explored, particularly regarding their worldviews and the battle between religion and science, an issue that is at the heart of critical and enduring debates and has public policy implications. Finally, a multivariate analysis on the global conflict between science and religion is presented, examining the effects of various factors, such as demographics, religiosity, and culture.
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14

Seedat, Soraya, and Sharain Suliman. PTSD in Low- and Middle-Income Countries. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0009.

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The burden of post-traumatic stress disorder (PTSD) in low- and middle-income countries (LMIC) is high. In addition to trauma type and sociodemographic correlates, cultural and social drivers of the disorder are critical to consider in diagnosis and treatment provision. Sociocultural factors may underpin the cognitive and affective neural mechanisms of PTSD and its phenotypic presentation. Although steps have been taken to evaluate and disseminate empirically supported interventions for PTSD in LMIC that are feasible, affordable, and potentially sustainable despite the limited resources that exist in these countries, well-designed quantitative and qualitative randomized controlled trials are needed in order to gain a more nuanced understanding of the cultural expressions of PTSD.
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15

Agarwal, Rajiv, and Andrew S. Epstein. Expectations about Effects of Chemotherapy in Patients with Advanced Cancer (DRAFT). Edited by Nathan A. Gray and Thomas W. LeBlanc. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190658618.003.0033.

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This chapter reviews the Weeks et al. secondary analysis of data from the Cancer Care Outcomes Research and Surveillance (CanCORS) prospective cohort, evaluating the expectations of patients who receive chemotherapy for incurable metastatic lung or colorectal cancer. Patients’ understanding of the effectiveness of chemotherapy for providing cure, life extension, and symptom relief were measured. The researchers also investigated the clinical, sociodemographic, and health system factors that were associated with inaccurate expectations on the curative potential of chemotherapy. The study demonstrated that most patients with metastatic lung or colorectal cancer believed that chemotherapy was likely to cure their disease. Colorectal cancer, non-white race, nonintegrated health care networks, and high physician communication scores were independently associated with inaccurate expectations. These findings highlight that understanding the goals of chemotherapy is both important and necessary for patients with incurable cancers to make informed treatment decisions.
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16

Pfau, Michael, and Patricia Moy. With Malice Toward All? Praeger, 2000. http://dx.doi.org/10.5040/9798216036456.

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Public opinion polls point to a continuing decline in confidence in the Presidency, court system, Congress, the news media, state government, public education, and other key institutions. Moy and Pfau analyze the reasons for this crisis of confidence, with particular attention to the role of the media. Moy and Pfau examine the impact of sociodemographic factors, political expertise, and use of communication media on people's perceptions of confidence in democratic institutions. Their conclusions are based on two years of data collection. In three waves between 1995 and 1997, they conducted a series of content analyses of media depictions of democratic institutions in conjunction with general survey data. The result is one of the most comprehensive examinations ever conducted on the influence of the media on public confidence. It will be of great value to scholars, researchers, students, and professionals in government and the media.
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17

Ryff, Carol D., and Robert F. Krueger, eds. The Oxford Handbook of Integrative Health Science. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190676384.001.0001.

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Abstract (sommario):
This handbook signals a paradigm shift in health research. Population-based disciplines have employed large national samples to examine how sociodemographic factors contour rates of morbidity and mortality. Behavioral and psychosocial disciplines have studied the factors that influence these domains using small, nonrepresentative samples in experimental or longitudinal contexts. Biomedical disciplines, drawing on diverse fields, have examined mechanistic processes implicated in disease outcomes. The collection of chapters in this handbook embraces all such prior approaches and, via targeted questions, illustrates how they can be woven together. Diverse contributions showcase how social structural influences work together with psychosocial influences or experiential factors to impact differing health outcomes, including profiles of biological risk across distinct physiological systems. These varied biopsychosocial advances have grown up around the Midlife in the United States (MIDUS) national study of health, begun over 20 years ago and now encompassing over 12,000 Americans followed through time. The overarching principle behind the MIDUS enterprise is that deeper understanding of why some individuals remain healthy and well as they move across the decades of adult life, while others succumb to differing varieties of disease, dysfunction, or disability, requires a commitment to comprehensiveness that attends to the interplay of multiple interacting influences. Put another way, all of the disciplines mentioned have reliably documented influences on health, but in and of themselves, each is inherently limited because it neglects factors known to matter for health outside the discipline’s purview. Integrative health science is the alternative seeking to overcome these limitations.
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18

Kroenke, Candyce, and Ichiro Kawachi. Socioeconomic Disparities in Cancer Incidence and Mortality. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0009.

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The relationship between socioeconomic status (SES) and cancer is complex, dynamic, and evolving. Associations depend on SES measures, cancer type, sociodemographic factors including race/ethnicity, and historical trends. However, socioeconomic disadvantage is often associated with a higher risk of cancer, particularly cancers diagnosed at a late stage, as well as worse prognosis once diagnosed. Research on secular trends over the past 70 years has shown reversals of the socioeconomic gradient for lung and colorectal cancer consistent with differential trends by SES in patterns of smoking, diet, and obesity. Rates of these cancers are now currently higher in socioeconomically disadvantaged groups. SES is considered to be a “fundamental” determinant of health outcomes, and this appears true throughout the cancer spectrum—from cancer incidence to detection, treatment, and survival. Investigations over the past decade have increasingly considered the simultaneous impact of individual SES and area-level SES (as a contextual influence) on health outcomes.
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19

Middleton, Nicos, Panayiota Ellina, George Zannoupas, Demetris Lamnisos, and Christiana Kouta. Socio-Economic Inequality in Health. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492908.003.0006.

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Socioeconomic position (SEP) refers to the relative place an individual or a social group holds within the structure of society. SEP is determined by a multitude of factors, from individual and household circumstances across the life course to social processes operating at higher levels. Even though a complex construct, it is often operationalized using single person-based indicators and/or subjective measures of an individual’s own perceived position in the social ladder. Furthermore, recognizing that social stratification is geographically defined, area-based measures place a community in the socioeconomic disadvantage continuum and are used to quantify the magnitude of geographically defined social inequalities Data driven approaches have been mostly used to construct socioeconomic deprivation indices, commonly using census-based indicators which reflect the sociodemographical compositions of areas. Increasingly, a wider set of methods are been used to capture features of a community’s environment pertaining to the physical, built and social environment.
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20

Cardona-Arias, Jaiberth Antonio, Luis Felipe Higuita Gutiérrez, and Juan Carlos Cataño Correa. Vínculos entre minería aurífera y salud: un estudio en Buriticá, Antioquia. Ediciones Universidad Cooperativa de Colombia, 2021. http://dx.doi.org/10.16925/9789587602876.

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The research about the relation of mining and health has traditionally been carried out ex post, that is, with evaluation of the effects of mining on the health profiles of miners or exposed people, time after to the start of this economic activity. This limits the evaluation of the impact of mining on health, given the lack of knowledge about health indicators prior to the start of mining, or due to the absence of a baseline to analyze series of time. In addition, specific indicators such as vector-borne diseases (for example, malaria morbidity or mortality in endemic areas with mining activity), respiratory problems, effects of contamination with materials used in mining, among other topics, are generally investigated in illegal mining contexts. In Colombia there are few publications about the health profiles in legal mining areas, prior to the mining phase, as a determining aspect to establish a baseline that allows quantitative evaluation of the impacts of this economic activity on the health of the exposed people. This research analyzes the health profile of the residents of a geographic area with the presence of underground gold mining in Buriticá-Antioquia, according to sociodemographic conditions during 2019. The central outcomes of this profile were risk factors related to health services and lifestyle, felt morbidity, overweight and obesity, high blood pressure, STIs, breast disorders, lung conditions, all with their potential socio-economic risks.
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21

Furlong, Jamie, and Will Jennings. The Changing Electoral Map of England and Wales. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780191943331.001.0001.

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Abstract This book offers a definitive account of the changing electoral geography of England and Wales over the past half century. Changes in social and economic structure have altered the spatial distribution of voters and combined with changes in the parties’ appeal to those voters (and the behaviour of voters) has led to a gradual, though recently accelerating, realignment in the geographical basis of electoral competition. Constituency-level analysis of voting at general elections between 1979 and 2019 shows a swing from Labour to the Conservatives in demographically left behind areas with largely white, working-class populations and lower levels of educational attainment, while Labour's support has remained stable in places characterized by economic deprivation (economically left behind areas) and insecure employment (precariously left behind areas). Areas with improving socio-economic characteristics—typically cities where Labour have inefficiently stacked up votes—have swung towards Labour, whereas those that have experienced population and economic decline have swung towards the Conservatives. Yet not all areas follow these trends. Spatial analysis reveals clusters of seats where each party has more support than expected based on sociodemographic composition—places where, in short, place matters. In Merseyside, Labour’s vote is much higher than predicted by demographics, while this is likewise the case for the Conservatives in Lincolnshire. Qualitative case studies identify the place-based, contextual factors that help explain the unusual political characteristics in these places. The book argues for the need to recognize the importance of people, places, and parties in shaping the geography of electoral outcomes.
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