Relevant bibliographies by topics / Demographic Outcomes

Academic literature on the topic 'Demographic Outcomes'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Demographic Outcomes"

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Wicaksono, Baghas Budi. "Optimizing Economy Outcomes with Demography Bonuses." Jurnal Riset Ilmu Ekonomi 2, no. 2 (August 25, 2022): 56–68. http://dx.doi.org/10.23969/jrie.v2i2.29.

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Bali has economic potential and experiences a demographic bonus earlier with a duration longer than the national one. However, the requirements for utilizing the demographic’s bonuses as an engine of economic growth do not carry out optimally. This condition is due to the unpreparedness of the community to provide skilled, educated, and technologically skilled workers. Though Human investment is long-term, the bonus demographics are not yet ready to be optimized. This research model uses multiple linear regression analysis with four independent variables, population growth rate, number of unemployed, dependency ratio, and Gini Ratio. The regression results show that all independent variables are related to the hypothesis. The relationship and level of significance concluded that the demographic transition in Bali provided a bonus for economic growth in the region.
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Jobe, Alan H. "Socio-demographic factors and pregnancy outcomes." Journal of Pediatrics 148, no. 3 (March 2006): A3. http://dx.doi.org/10.1016/j.jpeds.2006.02.018.

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Muchiri, Michael K., and Oluremi B. Ayoko. "Linking demographic diversity to organisational outcomes." Leadership & Organization Development Journal 34, no. 5 (July 12, 2013): 384–406. http://dx.doi.org/10.1108/lodj-11-0086.

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Leslie, Paul, and Bruce Winterhalder. "Demographic consequences of unpredictability in fertility outcomes." American Journal of Human Biology 14, no. 2 (February 25, 2002): 168–83. http://dx.doi.org/10.1002/ajhb.10044.

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Nguyen, Tuan Minh. "Learning approaches, demographic factors to predict academic outcomes." International Journal of Educational Management 30, no. 5 (June 13, 2016): 653–67. http://dx.doi.org/10.1108/ijem-06-2014-0085.

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Purpose – The purpose of this paper is to predict academic outcome in math and math-related subjects using learning approaches and demographic factors. Design/methodology/approach – ASSIST was used as the instrumentation to measure learning approaches. The study was conducted in the International University of Vietnam with 616 participants. An exploratory factor analysis, reliability, and correlation tests were performed before multiple regression analyses were carried out using SPSS 20.0. t-Tests to further discover relationships between learning approaches and demographic factors were also conducted. Findings – Females are more inclined to strategic approach, but not deep or surface by comparison with males. There is no relationship between parental education and learning approaches. Students with math preference in high school have tendency to use deep and strategic approach, but stay away from surface in higher education. Surface approach and admission mark have relationships with academic outcome; but gender, parental education, and math preference in high school do not have. Research limitations/implications – This model can explain only 15.5 percent of the variation of academic outcome. In addition, it may not be applicable to predict academic outcomes of subjects which are not math related. Originality/value – Surface approach has negative impact on academic outcome in math or math-related subjects, but the opposite is true for admission mark. Additionally, deep and strategic approach have no relationship with academic outcome.
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Yang, Yang, and Guo-Liang Jiang. "Work-Life Programs, Demographic Composition, and Organizational Outcomes." Academy of Management Proceedings 2017, no. 1 (August 2017): 11068. http://dx.doi.org/10.5465/ambpp.2017.11068abstract.

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Chan, Kenny H., Dexiang Gao, Michael Bronsert, Keely M. Chevallier, and Jonathan N. Perkins. "Pediatric facial fractures: Demographic determinants influencing clinical outcomes." Laryngoscope 126, no. 2 (July 21, 2015): 485–90. http://dx.doi.org/10.1002/lary.25457.

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MUSA, Y. A., A. R. BURBA, and D. CHIA. "MATERNAL SOCIO-DEMOGRAPHIC CHARACTERISTICS AND BIRTH OUTCOMES IN ABUTH SHIKA, ZARIA." FUDMA Journal of Agriculture and Agricultural Technology 7, no. 2 (June 3, 2022): 11–19. http://dx.doi.org/10.33003/jaat.2021.0702.042.

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Low birth weight and other birth outcomes are indicators of both present and future morbidity and mortality of every child. The relationship between socio-demographic characteristics of pregnant women and the birth outcomes in ABUTH Shika, Zaria was evaluated in this study. A cross-sectional comparative study involving 103 subjects that had live, singleton births within a 28- 42 weeks’ gestation period was carried out. The incidence of babies born with Low birth weight was 21.4%. Their Maternal socio-demographic characteristics were assessed. The socio-demographic characteristics of the pregnant women in ABUTH Shika, Zaria revealed that 90.29% of the pregnant women were between the age range of 15-34 years, 25.24% had no formal education, 43.68% were full time house wives and 21.36% of them earned less than the minimum wage monthly income. Their nutritional status distribution using MUAC revealed that 0% were severely malnourished 14.6% were moderately malnourished while 85.4% were normal. Correlating socio-demographic characteristics with birth outcome; the household income had a significant association with birth outcome (χ2=37.694, p=0.000) those with lower income were more prone to low birth outcome compared to those with higher income. Strong significant correlation was found between maternal height, weight measurements and MUAC with the birth weight of neonates (r=0.690 p=0.000, r=0.593 p=0.003, and r=0.489, p=0.000) respectively. This study has established that socio-demographic characteristics of pregnant women are major contributors to their birth outcome. Therefore, this study recommends urgent public health interventions that will reduce the incidence of low birth weight through awareness and other programs that will improve both maternal and child health.
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Yüceşahin, M. Murat, and A. Yiğitalp Tulga. "Demographic and Social Change in the Middle East and North Africa: Processes, Spatial Patterns, and Outcomes." Population Horizons 14, no. 2 (December 1, 2017): 47–60. http://dx.doi.org/10.1515/pophzn-2017-0003.

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Abstract The Middle East and North Africa region has been an important player in the swift demographic transition process that happened in many parts of the developing world starting in the mid-twentieth century. This demographic change was not independent from the developmental efforts and political transformations that the region was experiencing. Social and demographic change in the Middle East and North Africa brought with them power struggles, changes in social and political structures, and confusion in all areas of social life, all of which could be seen in the region. This paper focuses on the more general aspects of the demographic and social characteristics in the countries of the Middle East and North Africa in 1950, 1980, and 2015, bearing in mind the relationship between mentalities and events, and dealing with the issue through the lens of social change, demographic change, resistance, and the struggle for political change in an international context. This study has two main approaches. First, it investigates demographic changes and spatial clustering with a qualitative (cluster analysis) approach in Middle Eastern and North Africa countries based on selected demographic indicators for the years 1950, 1980, and 2015. Then it discusses the relationship between the outcomes of these demographic changes and recent socio-political developments in the region. One of the main findings of this study is MENA countries present three different structures in different time-periods in terms of demographics and these structures are responsible for the regional social, economic, and political transformations.
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Mansoor, Sadia, Erica French, and Muhammad Ali. "Demographic diversity, processes and outcomes: an integrated multilevel framework." Management Research Review 43, no. 5 (October 5, 2019): 521–43. http://dx.doi.org/10.1108/mrr-10-2018-0410.

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Purpose A narrow focus of past diversity research and inconsistent findings have contributed to a lack of understanding of how to manage diversity for positive outcomes. Focusing on age, gender and ethnic diversity, this paper aims to review literature on group objective demographic diversity and individual perceived demographic diversity to present an integrated multilevel framework for our improved understanding and to present testable propositions. Design/methodology/approach The authors conducted a thorough review of 51 empirical studies of demographic diversity at individual and group levels to propose a multilevel framework. Findings Drawing on information elaboration theory, social categorization theory and social identity theory, an integrated multilevel framework is proposed at individual and group levels. The framework suggests that demographic diversity (age, gender and ethnicity) aids positive information elaboration processes, while also causing negative social categorization processes. These processes impact individual and group outcomes. The framework also identifies moderating factors not sufficiently addressed in the demographic diversity literature. Propositions and implications for future research in the field of demographic diversity are presented. Originality/value This review provides an integrated multilevel framework of objective and perceived demographic diversity and its positive and negative processes and effects at both individual and group levels, drawn from information elaboration, social categorization and social identity theories.
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Dissertations / Theses on the topic "Demographic Outcomes"

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Mansoor, Sadia. "Demographic diversity and outcomes: A multilevel study." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/209949/1/Sadia_Mansoor_Thesis.pdf.

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This thesis is a step forward in understanding the effects of demographic diversity (age, gender and ethnicity) through proposing an integrated multilevel framework at individual and group levels of analysis. The framework was tested using a time-lagged research design in the banking sector of Pakistan. The findings suggest managers to understand the nesting phenomenon within work groups, demonstrate efforts to establish positive communication, and enhance social integration among workgroup members. Moreover, diversity training efforts need to focus on perceptions of gender diversity and age diversity to capitalise on their benefits.
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Oosse, Monique Marie. "Demographic, socioeconomic, and biomedical effects on birth outcomes /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Guruge, Sepali. "The effects of demographic characteristics on preoperative teaching outcomes, a meta-analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0002/MQ46122.pdf.

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Grjibovski, Andrej. "Socio-demographic determinants of pregnancy outcomes and infant growth in transitional Russia /." Stockholm, 2005. http://diss.kib.ki.se/2005/91-7140-226-8/.

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Rhouma, Ousama. "Epidemiology, socio-demographic determinants and outcomes of paediatric facial and dental injuries in Scotland." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3415/.

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Facial injury is less common in childhood than adulthood. However, it is still a significant cause of morbidity and presentation in hospital emergency departments. The pattern, time trends, and key socio-demographic determinants of facial injuries in Scottish adults admitted to hospital have previously been reported but this is not the case in the paediatric population and the question of whether such injuries are equally distributed across all socio-economic groups has not been answered. In contrast to the epidemiology of facial injuries in the paediatric population, traumatic dental injuries in children and adolescents have become one of the most frequent forms of treatment in dental practice. This suggests that traumatic dental injuries are common in childhood and are a significant cause of morbidity and presentation in hospital emergency departments. The relationship between socio-economic circumstances and the commonest dental disease (dental caries) in Scotland is well established and children resident in the most deprived areas experience more dental disease. However, this relationship with regard to dental injuries in Scotland has not yet been established. In the same way, many answers to questions regarding the sequelae and prognosis of pulpal and endodontic treatment among traumatised teeth remain unclear. Furthermore, numerous studies have been published examining the long term variables that might have an effect on treatment outcomes of avulsed teeth, but none have yet been able to estimate the long term prognosis of avulsed and replanted teeth. Two studies presented in this thesis are largely the result of population based studies investigating the epidemiology of facial and dental injuries in relation to individual demographics. An additional two studies explore the occurrence of paediatric dental trauma and its general treatment outcomes with a specific focus on estimation of the long term prognosis of avulsed and replanted teeth. To establish the epidemiology of paediatric facial injuries in children and adolescents requiring in-patient hospital admission in Scotland and to report the pattern, time trends, and key socio-demographic determinants of paediatric facial injury in Scotland, a descriptive epidemiological population-based study of the incidence of facial injuries in Scotland (2001-2009) was undertaken. Poisson regression models were employed to assess trends. There were 45,388 (4.7 per 1000 population) facial injury cases registered (2001-2009). 60% of injuries were due to non-intentional causes, 15% to motor vehicle incidents, and 9% to assault. 4.5% were alcohol related. The incidence decreased over time from 5.5/1000 in 2001 to 4.0/1000 in 2009. The risk ratio (RR) for males was 1.98 times greater than females (p < 0.001). RR varied significantly between Health Board areas from 0.68 (Dumfries and Galloway) to 1.76 (Grampian) (p < 0.001). There was a significant association between facial injury and deprivation (p<0.001); SIMD 1 (most deprived) had the highest incidence (6.3 per 1000 population; RR =1.89). The findings of this study provide evidence of a continuing increase in the burden of facial injuries in males especially for those who are living in areas of social deprivation, and in certain geographical areas of Scotland. A population-based investigation was undertaken to investigate the pattern and time trends of dental injuries and their socio-demographic determinants among primary one (P1) children in Scotland. Records of Scottish Health Boards' Dental Epidemiological Programme (SHBDEP) and National Dental Inspection Programme (NDIP) for the period 1993 to 2007 were retrieved from the Dental Health Services Research unit - Dundee. Annual incidences of dental injuries were calculated by age, gender, Health Board and DEPCAT (Carstairs deprivation categories). 68,354 P1 children were examined and only 405 (0.6%) had suffered dental injuries (5.9 per 1000 population). There was a significant decrease in incidence over time (1993 figures were three times greater than 2007). Virtually the same incidence rates were recorded for the two genders. However incidence varied significantly between Health Boards (p<0.001); the highest rate being reported in Dumfries (14.2 per 1000 population), which was 11 times greater than Ayrshire (1.3 per 1000 population). There was no significant association between risk of dental injuries and deprivation; in DEPCAT 1 (most affluent) the incidence rate was 6.4 per 1000 population, while in DEPCAT 7 (most deprived) the incidence rate was 5.7 per 1000 population. The findings of this study provide evidence that the incidence of dental injuries had significantly decreased between 1993 and 2007; gender and deprivation level had no effect on the incidence and risk of dental injuries. A retrospective investigation was undertaken to study the sequelae of non-surgical root canal treatment in traumatised anterior permanent teeth of patients referred to a secondary referral centre. The department dental trauma database was used to randomly identify patients who had sustained dental trauma to their permanent anterior teeth between 1994 and 2008 which required pulpal intervention. A data extraction form was designed and completed for each tooth, and then the data was transcribed and processed. The association between treatment outcomes and clinical variables was studied. 100 permanent anterior teeth (72 patients) were studied. Dental trauma was frequent in the age group 9-11yrs (53.9%). Upper central incisors were the most common teeth involved (43.8%). The male: female ratio was 2:1 with an average age at the time of trauma of 10.31 yrs (SD 2.16 yrs). Home and immediate home environs were the commonest location (18%) while falls (34.8%) and injuries during sport/play (34.8%) were the commonest causes. The commonest injuries in this randomly selected group were enamel-dentine fracture with pulp exposure (34.8%) and avulsion (28%). 66.3% received a first treatment intervention less than 24 hours following the injury. Root canal treatment was the most frequent treatment provided, especially for dental avulsion cases (100%). Treatment outcomes were split into three categories: Success (53.4%); Short-term success but long-term failure (35.6%); and Failure (11%). Significantly fewer failures occurred with: developing roots compared to completed roots (P=0.05); a good quality temporary filling (P<0.003); no mobility (P<0.001); and less than one hour extra alveolar dry time (P =0.02). No significance was reached with regard to: condition of root canal (P=0.095); extra alveolar time (EAT) (P=0.191); and type of storage medium (P=0.43). To assess and identify early clinical variables that are most predictive of treatment outcomes for avulsed and replanted permanent anterior teeth and to develop a model that will allow estimation of treatment outcome based on these variables, a retrospective study was designed and undertaken, where the dental trauma database was used to randomly identify patients who had sustained dental trauma on their permanent teeth leading to avulsion between 1998 and 2007. A data extraction form was designed and completed for each tooth. Demographic, diagnostic and treatment information recorded in the patient’s records, in addition to radiographs, were viewed and then transcribed and processed. The significance for each early clinical variable was assessed using a univariate logistic regression model. Only significant variables (P ≤ 0.05) were considered eligible for the prediction model and a c-index was then constructed for their respective predictive power. 213 patients who had received treatment for avulsed and replanted teeth between 1998 and 2007 were studied and only 105 fulfilled the criteria for evaluation.
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Bromet, Elizabeth S. "The relationship between vocational rehabilitation services, demographic variables and outcomes among individuals with psychiatric disabilities." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116127984.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xv, 171 p.; also includes graphics Includes bibliographical references (p. 155-171). Available online via OhioLINK's ETD Center
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Chang, Chia-yu Stephanie Celeste. "Does social-demographic information predict residential outcomes in elderly stroke rehabilitation patients in Hong Kong?" Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31971520.

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Chang, Chia-yu Stephanie Celeste, and 張嘉瑜. "Does social-demographic information predict residential outcomes in elderly stroke rehabilitation patients in Hong Kong?" Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31971520.

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Richards, Suzanne. "Assessing the Impact of Demographic Faultlines on Workgroup Performance| A Study of Conflict and Outcomes." Thesis, The George Washington University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3615532.

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This study addressed the frequently discussed issue of a relationship between the demographic diversity of a workgroup and its performance, by empirically testing for a relationship between a complex conceptualization of diversity (demographic faultlines) and workgroup performance bifurcated into processes, specifically relationship and task conflict, and outcomes, in terms of groups member's individual satisfaction with the group, commitment to the group, liking of other group members, and intent to stay. In addition, it hypothesized processes (relationship and task conflict) as mediators of outcomes. An online survey was administered at a single firm, ultimately gathering data from a sample population of 95 workgroups, representing 389 individual members. Using hierarchical regression analysis, the strength of the demographic faultline (Fau) of each group was tested for a relationship with relationship and task conflict and workgroup outcomes. Controlling for group size, the study found Fau positively predictive of relationship and task conflict, and not predictive of workgroup performance outcomes (given the finding of no relationship between Fau and outcomes, relationship and task conflict as mediators of outcomes was not tested), confirming only one of five hypotheses. The possible impact of the sample characteristics on this field study was discussed in conjunction with the theoretical, research, and practical implications of the findings.

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Bromet, Elizabeth. "The relationship between vocational rehabilitation services, demographic variables and outcomes among individuals with psychiatric disabilities." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1116127984.

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Books on the topic "Demographic Outcomes"

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Jones, Roger G. Education participation and outcomes by geographic location. Camberwell, Vic: ACER, 2002.

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Schrager, Laura. Substance abuse treatment for female DASA clients: Treatments, birth outcomes, and demographic profiles. Olympia, Wash: First Steps Database, Office of Research and Data Analysis, Planning, Research and Development, Dept. of Social and Health Services, 1993.

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Biddle, Nicholas. Demographic and Socioeconomic Outcomes Across the Indigenous Australian Lifecourse: Evidence from the 2006 Census. Canberra: ANU Press, 2010.

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Curtis, Craig, Megan Remmel, Nicholas Lovrich, John Stillman, John Pierce, and Leah Adams-Curtis. The Impact of Social, Demographic, and Political Factors on Public Health: Exploring COVID-19 Outcomes Using Publicly Available Data. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529602913.

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Nepal. Svāsthya tathā Janasaṅkhyā Mantrālaya, ed. Women's empowerment and spousal violence in relation to health outcomes in Nepal: Further analysis of the 2011 Nepal demographic and health surveys. Kathmandu: Ministry of Health and Population, 2013.

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Jasilionis, Domantas. Lietuvos gyventojų mirtingumo sociodemografiniai skirtumai 2001-2004: Gyventojų surašymo ir mirtingumo statistinės informacijos sujungimo tyrimo rezultatai = Socio-demographic mortality differentials in Lithuania, 2001-2004 : outcomes from the first census-linked study. Vilnius: Statistikos departamentas prie Lietuvos Respublikos vyriausybės, Socialinių tyrimų institutas, 2006.

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Dagar, Rainuka. Life enhancing mechanisms-life depriving outcomes: A case of female foeticide. Chandigarh: Institute for Development and Communication, 2001.

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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. Hyattsville, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1986.

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Scott, David L. Outcomes. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0029.

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Outcomes evaluate the impact of disease. In rheumatology they span measures of disease activity, end-organ damage, and quality of life. Some outcomes are categorical, such as the presence or absence of remission. Other outcomes involve extended numeric scales such as joint counts, radiographic scores, and quality of life measures. Outcomes can be measured in the short term—weeks and months—or over years and decades. Short-term outcomes, though readily related to treatment, may have less relevance for patients. Clinical trials focus on short-term outcomes whereas observational studies explore longer-term outcomes. The matrix of rheumatic disease outcomes is exemplified by rheumatoid arthritis. Its outcomes span disease activity assessments like joint counts, damage assessed by erosive scores, quality of life evaluated by disease-specific measures like the Health Assessment Questionnaire (HAQ) or generic measures like the Short Form 36 (SF-36), overall assessments like remission, and end result such as joint replacement or death. Outcome measures are used to capture the impact of treating rheumatic diseases, and are influenced by both disease severity and the effectiveness of treatment. However, they are also influenced by a range of confounding factors. Demographic factors like age, gender, and ethnicity can all have crucial impacts. Deprivation is important, as poverty invariably worsens outcomes. Finally, comorbidities affect outcomes and patients with multiple comorbid conditions usually have worse quality of life with poorer outcomes for all diseases. These multiple confounding factors mean comparing outcomes across units without adjustment will invariably show major differences.
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Scott, David L. Outcomes. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0029_update_001.

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Outcomes evaluate the impact of disease. In rheumatology they span measures of disease activity, end-organ damage, and quality of life. Some outcomes are categorical, such as the presence or absence of remission. Other outcomes involve extended numeric scales such as joint counts, radiographic scores, and quality of life measures. Outcomes can be measured in the short term—weeks and months—or over years and decades. Short-term outcomes, though readily related to treatment, may have less relevance for patients. Clinical trials focus on short-term outcomes whereas observational studies explore longer-term outcomes. The matrix of rheumatic disease outcomes is exemplified by rheumatoid arthritis. Its outcomes span disease activity assessments like joint counts, damage assessed by erosive scores, quality of life evaluated by disease-specific measures like the Health Assessment Questionnaire (HAQ) or generic measures like the Short Form 36 (SF-36), overall assessments like remission, and end result such as joint replacement or death. Outcome measures are used to capture the impact of treating rheumatic diseases, and are influenced by both disease severity and the effectiveness of treatment. However, they are also influenced by a range of confounding factors. Demographic factors like age, gender, and ethnicity can all have crucial impacts. Deprivation is important, as poverty invariably worsens outcomes. Finally, comorbidities affect outcomes and patients with multiple comorbid conditions usually have worse quality of life with poorer outcomes for all diseases. These multiple confounding factors mean comparing outcomes across units without adjustment will invariably show major differences.
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Book chapters on the topic "Demographic Outcomes"

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Liefbroer, Aart C., and Mioara Zoutewelle-Terovan. "Social Background and Adult Socio-Demographic Outcomes in a Cross-National Comparative Perspective: An Introduction." In Social Background and the Demographic Life Course: Cross-National Comparisons, 1–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67345-1_1.

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AbstractAn individual choice paradigm, focusing on individual preferences and values, has long dominated our understanding of socio-demographic outcomes. Recently, a trend towards an unequal choice paradigm, stressing how inequality in opportunities structures socio-demographic outcomes, is observed. This chapter outlines these changes and argues for a comparative perspective to examine how childhood disadvantage impacts these socio-demographic outcomes. The expectation is that the consequences of childhood disadvantage for demographic outcomes in young adulthood and for socio-economic and well-being outcomes in middle and late adulthood depend on the opportunities that national contexts offer to abate the adverse impact of economic and social deprivation. Subsequently, all chapters of the book are briefly introduced and their contribution to understanding this key issue is discussed.
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Hwang, Yeo-Jung. "Effects of Ability Grouping on Middle School Students’ Affective Outcomes." In Korean Education in Changing Economic and Demographic Contexts, 127–49. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-27-7_8.

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Campbell, Cameron, and James Lee. "Villages, Descent Groups, Households, and Individual Outcomes in Rural Liaoning, 1789–1909." In Kinship and Demographic Behavior in the Past, 73–101. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6733-4_4.

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Kashyap, Ridhi, and Emilio Zagheni. "Leveraging Digital and Computational Demography for Policy Insights." In Handbook of Computational Social Science for Policy, 327–44. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16624-2_17.

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AbstractSituated at the intersection of the computational and demographic sciences, digital and computational demography explores how new digital data streams and computational methods advance the understanding of population dynamics, along with the impacts of digital technologies on population outcomes, e.g. linked to health, fertility and migration. Encompassing the data, methodological and social impacts of digital technologies, we outline key opportunities provided by digital and computational demography for generating policy insights. Within methodological opportunities, individual-level simulation approaches, such as microsimulation and agent-based modelling, infused with different data, provide tools to create empirically informed synthetic populations that can serve as virtual laboratories to test the impact of different social policies (e.g. fertility policies, support for the elderly or bereaved people). Individual-level simulation approaches allow also to assess policy-relevant questions about the impacts of demographic changes linked to ageing, climate change and migration. Within data opportunities, digital trace data provide a system for early warning with detailed spatial and temporal granularity, which are useful to monitor demographic quantities in real time or for understanding societal responses to demographic change. The demographic perspective highlights the importance of understanding population heterogeneity in the use and impacts of different types of digital technologies, which is crucial towards building more inclusive digital spaces.
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Liefbroer, Aart C. "Explaining Cross-National Differences in Social Background Effects: What Have We Learned?" In Social Background and the Demographic Life Course: Cross-National Comparisons, 155–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67345-1_9.

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AbstractThis chapter provides an overview of economic, cultural and institutional narratives capable of explaining cross-national variation in the consequences of childhood disadvantage for socio-demographic outcomes in adulthood. However, testing these explanations is often hard, given a series of methodological challenges. Next, the ways in which the Contexts of Opportunity Project has tackled these challenges and its key results are presented. Childhood disadvantage has pervasive consequences for demographic outcomes in young adulthood and socio-economic and well-being outcomes in later adulthood. Strong cross-national variation in the strength of these relationships is observed, though. Childhood disadvantage often seems to have weaker consequences in more individualized societies. The chapter concludes with a discussion of future challenges for demographic research on cross-national differences.
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Symeonaki, Maria. "A Relative Entropy Measure of Divergences in Labour Market Outcomes by Educational Attainment." In The Springer Series on Demographic Methods and Population Analysis, 351–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93005-9_22.

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Karácsonyi, Dávid, Kazumasa Hanaoka, and Yelizaveta Skryzhevska. "Long-Term Mass Displacements—The Main Demographic Consequence of Nuclear Disasters?" In The Demography of Disasters, 15–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49920-4_2.

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Abstract Human history has witnessed several major disasters that have affected the economic, social and environmental conditions of their respective regions. The nuclear disaster of Chernobyl (1986, Ukraine, that time the Soviet Union) and Fukushima (2011, Japan) appears to be the most significant disasters in terms of negative outcomes produced for their population over a long time. Despite this, the analysis of the socio-economic outcomes of these disasters has attracted much less scientific attention than health or radiation-related issues (UNDP 2002a; Lehman and Wadsworth 2009, 2011). Although nuclear accidents are deemed to be rare events, the Fukushima disaster occurred only 25 years after Chernobyl. These disasters highlighted the need for a detailed long-term socio-economic analysis of these accidents to acquire sufficient knowledge to be applied when considering new construction sites for nuclear power facilities (Lehman and Wadsworth 2011). This chapter focuses on the problem of permanent resettlement resulting from nuclear disasters and its effects on regional demographic trajectories and spatial shifts. Based on the results of this study we argue that mass displacement after a nuclear disaster rather than the radiation itself has a much more significant impact on deteriorating health, natural reproduction and economic performance of the affected population. Furthermore, given the differences in radio-ecological conditions, reconstruction policy and the time framework, Fukushima may demonstrate demographic consequences that are different from the Chernobyl case.
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Zoutewelle-Terovan, Mioara, and Joanne S. Muller. "Adding Well-Being to Ageing: Family Transitions as Determinants of Later-Life Socio-Emotional and Economic Well-Being." In Social Background and the Demographic Life Course: Cross-National Comparisons, 79–100. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67345-1_5.

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AbstractThis chapter focuses on adult family-related experiences and the manner in which they affect later-life socio-emotional and economic well-being (loneliness, employment, earnings). Particularly innovative is the investigation of these relationships in a cross-national perspective. Results from two studies conducted by the authors of this chapter within the CONOPP project show that deviations from family-related social customs differently impact socio-emotional and economic well-being outcomes as there is: (a) a non-normative family penalty for loneliness (individuals who never experience cohabitation/marriage or parenthood or postpone such events are the loneliest); and (b) a non-normative family bonus for women’s economic outcomes (single and/or childless women have the highest earnings). Moreover, analyses revealed that European countries differ considerably in the manner in which similar family-related experiences affect later-life well-being. For example, childlessness had a stronger negative impact on loneliness in Eastern Europe than in Western Europe and the observed heterogeneity could be explained by culturally-embedded family-related values and norms (childless individuals in countries placing stronger accent on ‘traditional’ family values are lonelier compared to childless individuals in less ‘traditionalistic’ nations). In terms of economic outcomes, results show that the lower the female labor force participation during child-rearing years, the more substantial the differences in later-life employment and income between women with different family life trajectories.
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Lee, Rennie, and Janeen Baxter. "Marriage Matters. Or Does It?" In Family Dynamics over the Life Course, 201–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12224-8_10.

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AbstractMarried couples generally experience higher levels of subjective wellbeing than cohabiting couples or single people, though the relationship between wellbeing and partnering is context-specific. Marriage has different benefits for different demographic and subgroups and varies by gender, nativity, birth region, and country contexts. We find that across several measures of socioeconomic wellbeing, married individuals show better outcomes than their cohabiting counterparts and single individuals. Married individuals are more likely to be employed, own a home, and have access to emergency funds, net of various socioeconomic and demographic controls. These advantages remain even when we consider their outcomes after they have transitioned to marriage controlling for unobserved and observed bias. We find no substantive differences in health and wellbeing across individuals of different marital statuses. We conclude that policies aimed at supporting individuals to achieve fulfilling lives must recognise increased diversity in partnership arrangements and provide strong supports to those who choose not to pursue traditional marital arrangements.
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Athanasiou, George, and Chris Bachtsetzis. "The Importance of Patient Reported Outcomes in Shaping a Healthcare System." In Health and Social Care Systems of the Future: Demographic Changes, Digital Age and Human Factors, 365–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24067-7_42.

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Conference papers on the topic "Demographic Outcomes"

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"Mortality in Russia in the First Year of the COVID-19 Pandemic and Potential Demographic Consequences." In XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-2-10.

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This article reviews various data to judge demographic outcomes of the first year of the COVID-19 pandemic. Official data on the number of people infected and dying from COVID-19 are compared with the Federal State Statistics Service data on additional mortality. The regions with the highest and lowest rates of additional mortality, with the highest and lowest misinformation of official data on those infected and dying from COVID-19 for the period from May 2020 to March 2021 are identified. Potential demographic consequences of the pandemic for Russia were estimated by comparing the forecasts with the 2018 and 2020 survival ratios. If mortality rates remain as they were in 2020, Russia’s total losses will exceed 4 million people by the end of 2045.
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Malcolm, Russell. "Demographic Review of Outcomes in an NHS Homeopathy Clinic." In HRI London 2019—Cutting Edge Research in Homeopathy: Presentation Abstracts. The Faculty of Homeopathy, 2020. http://dx.doi.org/10.1055/s-0040-1702072.

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Sullivan, Margaret D., Clemencia Cosentino de Cohen, Michael J. Barna, Marisa K. Orr, Russell A. Long, and Matthew W. Ohland. "Understanding engineering transfer students: Demographic characteristics and educational outcomes." In 2012 IEEE Frontiers in Education Conference (FIE). IEEE, 2012. http://dx.doi.org/10.1109/fie.2012.6462442.

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Joao, Isabel M., and Joao M. Silva. "Do demographic factors affect academic outcomes? A master engineering course analysis." In 2021 4th International Conference of the Portuguese Society for Engineering Education (CISPEE). IEEE, 2021. http://dx.doi.org/10.1109/cispee47794.2021.9507228.

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Jibril, Abdul Bashiru, Michael Adu Kwarteng, and Miloslava Chovancova. "A demographic analysis of consumers’ preference for green products." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.044.

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Purpose – the aim of this research is to understand and present the outcomes of the strength of association between consumers and the use of the green (herbal) product from a demographic viewpoint. By extension, it measures the magnitude of dependents among demographic factors influencing the use of the green product in a developing country. Research methodology – to evaluate consumer’s demographics on the use of the green (herbal) product, 207 participants took part in the survey through a structured questionnaire. Data were obtained from users of green products (specifically herbs) in Ghana. A nonparametric test precisely chi-square test (x2) and Spearman's correlation rs were employed for our empirical analysis. Findings – the paper indicated the youthful population as the highest number of users of the green product in the herbal market. Results from the nonparametric test (Spearman’s rho) revealed that demographic factors (gender, age, education, and occupation) have an inverse relationship on the use of the green product. Whiles the chi-square test also discloses insignificant relationships among the observed attributes. This suggests that there is no empirical evidence to support the claim that use of green product depends on demographic factors of consumers. Research limitations – the limitation of this study considered the research scope, taking into account a smaller sample size for the study hence, future researchers should expand the sample size as well the other demographic variables necessary for a similar study. Practical implications – the practical implication of this study gives insights to practitioners and marketers in the herbal industry on how best they can progress in their quest to sustain in the business. Originality/Value – the present study aided in widening the scope of consumer behaviour towards the green product in the marketing discipline taken into consideration the widespread competition in the business nowadays especially in the herbal (green product) market
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DeBacker, Diane, Jaclyn Dudek, Thanos Patelis, and Neal Kingston. "Evaluating Learning for the Multiple Constituencies of Higher Education: A Call for Action, A Call for Research." In Seventh International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/head21.2021.12981.

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This paper explores the rapidly changing world of higher education and the need for different ways to identify learner outcomes and evaluate student learning. In recent years, higher education has experienced significant demographic shifts in student populations. These shifts were the result of numerous variables including the increasing cost of higher education, the demand from business and industry to get people into high-demand occupations faster, and the decreasing number of individuals choosing post-secondary education immediately following high school. The year 2020 brought unprecedented challenges to the world with the pandemic caused by the coronavirus known as COVID-19. The pandemic accelerated the change that was already taking place in higher education. From how education was delivered to where it was delivered, higher education was forced to rapidly change a centuries-old model. This paper explores a tier one research university’s response to the changes in higher education by employing a proven process of mapping learning outcomes, assessing both new and prior learning using innovative technology, issuing microcredentials, and working with policymakers and employers to meet workforce demands. Keywords: Higher education1; Microcredentials2; Learning outcomes3 Mapping4; Assessment5.
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Makridis, Christos A., Anish Mudide, and Gil Alterovitz. "How Much Does the (Social) Environment Matter? Using Artificial Intelligence to Predict COVID-19 Outcomes with Socio-demographic Data." In Pacific Symposium on Biocomputing 2021. WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811232701_0031.

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Ogallo, William, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, and Komminist Weldemariam. "Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/770.

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Improving maternal, newborn, and child health (MNCH) outcomes is a critical target for global sustainable development. Our research is centered on building predictive models, evaluating their interpretability, and generating actionable insights about the markers (features) and triggers (events) associated with vulnerability in MNCH. In this work, we demonstrate how a tool for inspecting "black box" machine learning models can be used to generate actionable insights from models trained on demographic health survey data to predict neonatal mortality.
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Tabor, Evangeline, Dylan Kneale, and Praveetha Patalay. "P47 Measurement of sexual orientation and its impact on sample size and demographic and health outcomes in two UK cohort studies." In Society for Social Medicine Annual Scientific Meeting Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jech-2022-ssmabstracts.141.

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Ober, Teresa. "Attitudes Toward Online Learning, Reading Comprehension, Device Use, and Demographic: Impact on Online Learning Outcomes During the COVID-19 Pandemic (Poster 2)." In AERA 2022. USA: AERA, 2022. http://dx.doi.org/10.3102/ip.22.1883275.

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Reports on the topic "Demographic Outcomes"

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Sathar, Zeba, Gul Rashida, Sabahat Hussain, and Anushe Hassan. Evidence of son preference and resulting demographic and health outcomes in Pakistan. Population Council, 2015. http://dx.doi.org/10.31899/pgy9.1085.

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Testa, Marcia A., Maxwell Su, Alexander Turchin, and Donald C. Simonson. Benchmarking the Comparative Effectiveness of Diabetes Treatments Using Patient-Reported Outcomes and Socio-Demographic Factors. Patient-Centered Outcomes Research Institute (PCORI), March 2021. http://dx.doi.org/10.25302/03.2021.ce.13046756.

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Bartik, Timothy J. The Effects of Local Labor Demand on Individual Labor Market Outcomes for Different Demographic Groups and the Poor. W.E. Upjohn Institute, September 1993. http://dx.doi.org/10.17848/wp93-23.

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McGee, Steven, Lucia Dettori, and Andrew Rasmussen. Impact of the CPS Computer Science Graduation Policy on Student Access and Outcomes. The Learning Partnership, December 2022. http://dx.doi.org/10.51420/report.2022.4.

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The Chicago Public Schools (CPS) leads the nation in computer science education. Each year 14,000 Chicago Public Schools students graduate with at least one year of computer science. This is the result of a graduation requirement that CPS enacted in 2016. The foundational course that most students completed to fulfill the requirement is Exploring Computer Science (ECS). This evaluation of the impact of the graduation requirement was framed around the CAPE framework. To ensure that a district supports equal outcomes in computer science, they need to develop Capacity for schools to offer computer science, increase Access to computer science, ensure equal Participation, and then examine how computer science Experiences lead to equal outcomes. The analysis was conducted through a CME-funded summer fellowship program, which included advanced graduate students and early career researchers. They found the following results. The ECS professional development program supported a rapid expansion of school Capacity after the enactment of the graduation requirement. At the time the graduation requirement was enacted, roughly half of the schools did not offer any computer science and 2/3 did not have sufficient capacity to support computer science for all students. Larger schools with fewer low-income students and a strong college going climate were more likely to offer computer science just before the enactment of the graduation requirement. Access to computer science expanded significantly after the computer science graduation requirement. Participation in computer science significantly increased across all demographic groups after the graduation requirement. By the time the 2nd cohort graduated after the requirement, the demographics of students taking computer science matched the demographics of the district. Students’ Experiences with ECS led to equivalent course performance between students taking ECS before and after the enactment of the graduation requirement. The number of students pursuing computer science pathways in CPS doubled after the enactment of the graduation requirement.
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Svynarenko, Radion, Theresa L. Profant, and Lisa C. Lindley. Effectiveness of concurrent care to improve pediatric and family outcomes at the end of life: An analytic codebook. Pediatric End-of-Life (PedEOL) Care Research Group, College of Nursing, University of Tennessee, Knoxville, 2022. http://dx.doi.org/10.7290/m5fbbq.

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Implementation of the section 2302 of the 2010 Patient Protection and Affordable Care Act (ACA) enabled children enrolled in Medicaid/Children's Health Insurance Program with a prognosis of 6 months to live to use hospice care while continuing treatment for their terminal illness. Although concurrent hospice care became available more than a decade ago, little is known about the socio-demographic and health characteristics of children who received concurrent care; health care services they received while enrolled in concurrent care, their continuity, management, intensity, fragmentation; and the costs of care. The purpose of this study was to answer these questions using national data from the Centers of Medicare and Medicaid Services (CMS), which covered the first three years of ACA – from January 1, 2011, to December 31, 2013.The database included records of 18,152 children younger than the age of 20, who were enrolled in Medicaid hospice care in the sampling time frame. Children in the database also had a total number of 42,764 hospice episodes. Observations were excluded if the date of birth or death was missing or participants were older than 21 years. To create this database CMS data were merged with three other complementary databases: the National Death Index (NDI) that provided information on death certificates of children; the U.S. Census Bureau American Community Survey that provided information on characteristics of communities where children resided; CMS Hospice Provider of Services files and CMS Hospice Utilization and Payment files were used for data on hospice providers, and with a database of rural areas created by the Health Resources and Services Administration (HRSA). In total, 130 variables were created, measuring demographics and health characteristics of children, characteristics of health providers, community characteristics, clinical characteristics, costs of care, and other variables.
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Khandker, Shahidur Rahman, Hussain Akhterus Samad, Nobuhiko Fuwa, and Ryotaro Hayashi. The Female Secondary Stipend and Assistance Program in Bangladesh: What Did It Accomplish? Asian Development Bank, February 2021. http://dx.doi.org/10.22617/wps210021-2.

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Are subsidies to female education worth supporting to enhance socioeconomic and demographic changes? This paper examines whether or not the Female Secondary Stipend and Assistance Program (FSSAP) in Bangladesh matters. If it does, how much and in what way—on both observed short- and long- term outcomes associated with female education? How did FSSAP impact the education of children, and boys in particular? The paper also explores the impact on female labor force participation, as well as age at marriage, fertility, and other effects on society.
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Gillison, Fiona, Gemma Lannon, Bas Verplanken, Julie Barnett, and Elisabeth Grey. A rapid review of the evidence on the factors underpinning the consumption of meat and dairy among the general public. Food Standards Agency, March 2022. http://dx.doi.org/10.46756/sci.fsa.bmk523.

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Willingness to reduce meat and dairy consumption across the population is relatively low (12.8%-25.5%), albeit increasing. While women and higher socio-economic groups tend to show greater awareness of an environmental rationale and subsequent willingness for change, this difference does not emerge strongly in studies reporting behavioural outcomes. A broad set of search terms was used to identify literature in this area, but focused on: Evidence of the potential for behaviour change in response to sustainability, environmental and climate change agendas. The reduction of meat or dairy consumption, rather than stopping altogether. Motives and barriers to reduction rather than stopping could differ considerably. Research was also specifically searched to explore the impact of socio-demographic characteristics on willingness to reduce meat and dairy consumption. This study was used to inform the primary research on Psychologies of Food Choice: Public views and experiences around meat and dairy consumption.
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Edwards, Jack E. Work Outcomes as Predicted by Attitudes and Demographics of Hispanic and NonHispanics: A Literature Review. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada191799.

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Richard, Reginald. Burn Patient Acuity Demographics, Scar Contractures and Rehabilitation Treatment Time Related to Patient Outcomes (ACT). Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada554130.

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Tavares, João, Lígia Passos, Daniela Figueiredo, Larissa Pedreira, Elaine Souza, and Lélia Oliveira. Atypical presentation of COVID-19 in older adults: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0103.

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Review question / Objective: The review questions of this scoping are: 1) What are the atypical presentations of symptoms of COVID-19 and its prevalence in older adults (60 or more years) that have been reported? 2) What are the demographic and clinical characteristics of older adults (60 or more years) with atypical presentations of symptoms of COVID-19? 3) What are the clinical outcomes for older adults with atypical presentations (60 or more years) of covid-19? The objective of this scoping review is to identify and analyse the atypical presentation of symptoms of COVID-19 in older adults. Eligibility criteria: Participants: This scoping review will consider all studies that included persons with 60 years or over. Concept: This scoping review will include studies that focus on atypical presentations of Covid-19. Atypical presentation was defined as an absence of the typical symptoms of COVID-19 and the presence of unusual symptoms such as, but not limited to, delirium, fall, functional impairment, reduce oral intake, chest pain, etc. Context: This scoping review will consider all contexts, but not limited to, of hospital, long-term care, primary care, community services and home care.
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