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Journal articles on the topic 'Demographic characteristics'

To see the other types of publications on this topic, follow the link: Demographic characteristics.

Author: Grafiati

Published: 4 June 2021

Last updated: 25 January 2023

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1

YUSIFOV, F. F., and N. E. AKHUNDOVA. "Analysis of Demographic Characteristics Based on E-Demography Data." Demography and social economy 1 (April 22, 2022): 38–54. http://dx.doi.org/10.15407/dse2022.01.038.

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The introduction of digital technologies, the Internet and social media into human life provides new information and data sources for the study of demographic behavior. The article studies the analysis of demographic characteristics based on e-demographic data. The creation of an e-demographic system is one of the urgent issues for demographic research, the management of demographic processes and for the study of demographic behavior. The article is devoted to the analysis of demographic indicators. The article examines the existing international experience in the field of e-demography, analyzes the current state of research in the field of creating a single population register. In order to build an e-demographic system, it is proposed to integrate public registers in various fields into a single platform through a personal identification number. Demographic analyzes can be conducted information on social networks, mobile phones, banking systems, insurance companies, via traces in various search browsers. The article analyzes demographic characteristics based on e-demographic data. The experiment examined the analysis of demographic characteristics of graduates who studied abroad. Demographic analysis was conducted according to the age, sex, marital status, education level, specialty, country of study and other indicators of the graduates. K-Means model was used to divide the graduates into different clusters. According to the experience, it is possible to divide graduates who studied abroad into clusters according to their age. Thus, graduates of each cluster can be surveyed according to other demographic indicators. E-demography creates new opportunities for social research and population data monitoring. The establishment of an e-demographic system will allow for population statistics, online census monitoring, in-depth analysis of demographic processes and the study of demographic behavior. Citizens of each cluster will be able to conduct different analyzes according to income, field of work, education and other indicators. The research proposes to build an e-demographic system on the basis of a single state register. In future research, the data in the various registers will be analyzed in depth.

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Ahuja, M., A. Singh, and N. Kumar. "Influence of Faculty’s Demographic Characteristics on Motivation." International Journal of Advances in Management and Economics 01, no. 04 (July 2, 2012): 95–101. http://dx.doi.org/10.31270/ijame/01/04/2012/12.

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3

Akıl, Eşref. "Clinical and demographic characteristics of Guillain-Barre syndrome." Dicle Medical Journal 41, no. 4 (December 1, 2014): 707–11. http://dx.doi.org/10.5798/diclemedj.0921.2014.04.0504.

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4

Dr. P. P. S. Paul Kumar, Dr P. P. S. Paul Kumar. "Demographic and Socio-Economic Characteristics Affecting Sports in Andhrapradesh." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 499–501. http://dx.doi.org/10.15373/22778179/dec2013/158.

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5

Antuleska-Belčeska, Gordana, Sladjana Petrović, Lidija Ristić, Dragan Stojanov, and Maja Jocić. "DEMOGRAPHIC CHARACTERISTICS OF LUNG CANCER." Acta Medica Medianae 53, no. 2 (June 15, 2014): 40–48. http://dx.doi.org/10.5633/amm.2014.0207.

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6

Henderson, Kenneth V., Ronald E. Goldsmith, and Leisa R. Flynnm. "Demographic Characteristics of Subjective Age." Journal of Social Psychology 135, no. 4 (August 1995): 447–57. http://dx.doi.org/10.1080/00224545.1995.9712214.

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7

Di Stefano, Giovanna, and Antonella Pinnelli. "Demographic Characteristics and Family Life." Current Sociology 52, no. 3 (May 2004): 339–69. http://dx.doi.org/10.1177/0011392104043083.

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8

Bunch, Jackson, Jody Clay-Warner, and Man-Kit Lei. "Demographic Characteristics and Victimization Risk." Crime & Delinquency 61, no. 9 (December 6, 2012): 1181–205. http://dx.doi.org/10.1177/0011128712466932.

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9

Posner, Barry Z., and Warren H. Schmidt. "Demographic characteristics and shared values." International Journal of Value-Based Management 5, no. 1 (December 1992): 77–87. http://dx.doi.org/10.1007/bf02919232.

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10

Kokotovic-Kanazir, Vlasta, Marko Filipovic, and Milena Panic. "Demographic characteristics of Lika region." Journal of the Geographical Institute Jovan Cvijic, SASA 66, no. 1 (2016): 45–59. http://dx.doi.org/10.2298/ijgi1601045k.

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11

Maserejian, Nancy N. "Demographic Characteristics and Opioid Prescribing." JAMA 299, no. 15 (April 16, 2008): 1773. http://dx.doi.org/10.1001/jama.299.15.1773-a.

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12

Berger, Jeffrey T. "Demographic Characteristics and Opioid Prescribing." JAMA 299, no. 15 (April 16, 2008): 1773. http://dx.doi.org/10.1001/jama.299.15.1773-b.

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13

Ikhsan, Syarbini, Restiatun -, and Eddy Suratman. "Demographic Characteristics and Tax Compliance." Asian Journal of Social Science Studies 8, no. 1 (January 11, 2023): 1. http://dx.doi.org/10.20849/ajsss.v8i1.1322.

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This study aims to further explore whether demographic variables such as Gender, Age, Happiness, and Altruism partially or simultaneously affect Tax Compliance. The research experimented with 20 peoples from various backgrounds participating. The method of analysis utilizes multiple linear regression analysis methods. The results show that (1) the Gender variable does not affect Tax Compliance, (2) the Age variable has an effect on Tax Compliance, (3) the Happiness variable has an effect on Tax Compliance, and (4) the Altruism variable has an effect on Tax Compliance.

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14

Gasimova, Rana, and Rahim Abbasli. "Analysis of demographic characteristics based on data of social network users." Problems of Information Society 13, no. 2 (July 5, 2022): 73–83. http://dx.doi.org/10.25045/jpis.v13.i2.09.

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The main goal of the state policy in the field of demography is to ensure the growth of population reproduction in accordance with the country’s development strategy by eliminating negative trends in demographic processes. Demographic processes can be assessed by country, region and district. In this regard, demographic surveys can be conducted at the state, regional and individual levels. The implementation of an effective demographic policy in the country is an integral part of the e-government system. The article is devoted to the analysis of demographic characteristics based on the data of social network users. The spread of the Internet and digital technologies has created new opportunities for demographic research. To this end, the article analyzes demography as a field of multidisciplinary research and shows the importance of data collected in social networks for demographic research. This includes the use of data collected in the analytical systems of social networking services as a new source of information for demographic research. The article discusses foreign experience and current scientific and practical studies in the field of electronic demography, identifies current areas of research and analyzes their state-of-the-art. The paper explores the social network analysis systems and their classification by characteristics.

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15

Jampani, Siva Krishna Goud. "Effect of Consumers’ Demographic Characteristics on Infomercial Characteristics and Purchase Intention towards Infomercial Advertised Products." Revista Gestão Inovação e Tecnologias 11, no. 4 (July 10, 2021): 276–88. http://dx.doi.org/10.47059/revistageintec.v11i4.2106.

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16

Coyne, A. C., H. M. Meade, M. E. Petrone, L. A. Meinert, and B. L. Joslin. "The Diagnosis of Dementia: Demographic Characteristics." Gerontologist 30, no. 3 (June 1, 1990): 339–44. http://dx.doi.org/10.1093/geront/30.3.339.

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17

Peño, I. Casanova, V. De las Heras Revilla, B. Parejo Carbonell, D. Di Capua Sacoto, M. E. Fuentes Ferrer, R. García-Cobos, and R. Arroyo González. "Neurobehçet disease: clinical and demographic characteristics." European Journal of Neurology 19, no. 9 (April 2, 2012): 1224–27. http://dx.doi.org/10.1111/j.1468-1331.2012.03706.x.

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18

Sonnenberg, Amnon. "Demographic Characteristics of Hospitalized IBD Patients." Digestive Diseases and Sciences 54, no. 11 (September 16, 2009): 2449–55. http://dx.doi.org/10.1007/s10620-009-0973-3.

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19

Al-Worikat, Abdel Fattah, and Walid Dameh. "Children with limb deficiencies: Demographic characteristics." Prosthetics and Orthotics International 32, no. 1 (January 1, 2008): 23–28. http://dx.doi.org/10.1080/03093640701517083.

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The aim of this study is to determine the demographic data for amputations in children in relation of age, sex, level and cause of amputation. Data were collected from the records of amputees who attended the prosthetic clinic at the Royal Rehabilitation Center, King Hussein Medical Centre, Jordan, between 1 January 1995 and 31 December 2005. Demographic data (age, sex, level and cause of amputation) were analyzed. Some120 children with different levels of amputation were included with mean age of 6.2 years. There were 64 (53.3%) males and 56 (46.7%) females. Male to female ratio was 1.15:1. The dominant level of amputation was trans-radial in 10 patients (15.62%) in the upper limb and trans-tibial in 18 patients (28.12%) in the lower limb. The dominant cause of amputation was congenital deficiency in 56 patients (46.67%) followed by trauma in 48 (40%). The results of this study presented greater similarities to others in the literature, congenital limb deficiency being the dominant cause of amputation in children. This study helps in planning the needs for materials and budgets for the treatment of amputee children in Jordan.

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20

BLOCK, GLADYS, CHRIS COX, JENNIFER MADANS, GEORGE B. SCHREIBER, LISA LICITRA, and NAN MELIA. "VITAMIN SUPPLEMENT USE, BY DEMOGRAPHIC CHARACTERISTICS." American Journal of Epidemiology 127, no. 2 (February 1988): 297–309. http://dx.doi.org/10.1093/oxfordjournals.aje.a114805.

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21

Pratt, Charles B., Stephen L. George, Alexander A. Green, Lisa A. Fields, and Richard K. Dodge. "Carcinomas in children.Clinical and demographic characteristics." Cancer 61, no. 5 (March 1, 1988): 1046–50. http://dx.doi.org/10.1002/1097-0142(19880301)61:5<1046::aid-cncr2820610532>3.0.co;2-y.

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22

Pletcher, Mark J. "Demographic Characteristics and Opioid Prescribing—Reply." JAMA 299, no. 15 (April 16, 2008): 1773. http://dx.doi.org/10.1001/jama.299.15.1774-a.

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23

Dr Borse .R.T, Dr Borse R. T., D. B. Kadam D B Kadam, Dr Gautam Vaggar, and P. S. Borle P S Borle. "Correlation of Demographic & Clinical Characteristics in Patients with Generalized Seizures." Indian Journal of Applied Research 3, no. 8 (October 1, 2011): 552–55. http://dx.doi.org/10.15373/2249555x/aug2013/175.

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24

Ojekalu, Samson Oluseun, Olatoye Ojo, Timothy Tunde Oladokun, and Sumoila Aremu Olabisi. "Effect of demographic characteristics on service quality perception." Property Management 37, no. 3 (June 17, 2019): 418–31. http://dx.doi.org/10.1108/pm-07-2018-0040.

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Purpose Although a substantial amount of research on the effect of demographics on service quality perception can be found in the extant literature, practitioners and researchers in the built environment, especially property managers, know little or nothing about the influence of demographic characteristics on service quality in Nigeria. Hence, the purpose of this paper is to examine the effect of demographic variables of the occupiers of shopping complexes on the perception of service quality of property managers. Design/methodology/approach Primary data were used for the study through questionnaire administration. Ibadan was stratified into five axes using existing major roads where shopping complexes were highly concentrated. Based on the Oyo State Ministry of Land, Housing and Survey (2017) database, there were 33, 65, 48, 64 and 66 shopping complexes on each identified major road. A systematic sampling technique was adopted to select 57 (20 per cent) out of 276 shopping complexes and 192 (10 per cent) out of 1,919 occupiers of the shopping complexes in the study area. In total, 157 occupiers responded to the questionnaire, and data were analysed using mean, independent t-test, and one-way ANOVA. Findings The study found that the gender and education of the occupiers significantly influenced service quality perception, whereas the age of the respondents was insignificant. Specifically, female occupiers rated the service quality of property managers better than their male counterparts. Through η2, the effect size of gender on service quality perception was small (17 per cent) and effect size on the level education of the occupiers was also small (13 per cent). The age of occupiers did not significantly influence service quality perception. It is expected that the findings of this study will help property managers to understand the effect of various demographic variables on service quality perception for enhanced property management practice. Practical implications The findings suggested that the property managers of shopping complex should structure their services to best accommodate occupiers’ demographics. Moreover, property managers can use the findings to guide demographic-driven marketing strategy to target and attract more tenants efficiently. Originality/value The study is one of the few studies that examined the effect of the demographic characteristics of occupiers on service quality perception that could enhance given individualised attention to occupiers.

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25

Nigem, Elias T. "Arab Americans: Migration, Socioeconomic and Demographic Characteristics." International Migration Review 20, no. 3 (1986): 629. http://dx.doi.org/10.2307/2545708.

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26

Burke, Ronald J., and Elizabeth Kurucz. "Demographic Characteristics of Canadian Women Corporate Directors." Psychological Reports 83, no. 2 (October 1998): 461–62. http://dx.doi.org/10.2466/pr0.1998.83.2.461.

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This study of demographic characteristics of 220 women currently serving as corporate directors of Canada's largest corporations indicates this group was highly educated, had varied business experience, and had achieved high occupational and professional success.

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27

Khan, Nashi. "Dhat syndrome in relation to demographic characteristics." Indian Journal of Psychiatry 47, no. 1 (2005): 54. http://dx.doi.org/10.4103/0019-5545.46077.

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28

Josipovič, Damir, and Peter Repolusk. "Demographic Characteristics of the Romany in Prekmurje." Acta geographica Slovenica 43, no. 1 (December 15, 2003): 127–49. http://dx.doi.org/10.3986/ags43105.

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29

Popova, L., and E. Zorina. "Regional Characteristics of Demographic Aging in Russia." Problems of Economic Transition 62, no. 11-12 (December 1, 2020): 840–54. http://dx.doi.org/10.1080/10611991.2020.2082189.

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30

Jovicic-Vukovic, Ana, Ivana Josanov-Vrgovic, Slobodanka Jovin, and Natasa Papic-Blagojevic. "Socio-demographic characteristics and students’ entrepreneurial intentions." Stanovnistvo 58, no. 2 (2020): 57–75. http://dx.doi.org/10.2298/stnv200423007j.

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This paper aims to analyse the entrepreneurial intentions of tourism students, who represent a significant base of future entrepreneurs and are the drivers of innovations and competitiveness in the travel and tourism industry, which is an important part of the economy of the Republic of Serbia. The study examined whether there are differences in students? entrepreneurial intentions depending on socio-demographic characteristics: gender, place of residence, years of study, and previous work experience, as well as their parents? education and type of employment. The survey was conducted in four higher vocational schools in Serbia on a sample of 330 students of tourism and hospitality management using the Entrepreneurial Intention Scale. The results showed that students had medium intention to start and run their own business and indicate that - among the selected socio-demographic factors - gender, years of study, and prior work experience play an important role in fostering entrepreneurial intentions. Understanding the factors that impact entrepreneurship may contribute to the development of theory in this field, as well as helping paint a clearer picture of how entrepreneurial intentions are formed as a starting point in business.

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31

Hyungsook You, 윤태환, and 박봉규. "Relationship betweenJapanese Visitors’ Propensity and Demographic Characteristics." Japanese Modern Association of Korea ll, no. 16 (June 2007): 173–88. http://dx.doi.org/10.16979/jmak..16.200706.173.

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32

Pisareva, L. F., N. P. Lyakhova, I. N. Odintsova, D. A. Perinov, Т. N. Chemitdorzhieva, and Ye A. Shukhoeva. "DEMOGRAPHIC CHARACTERISTICS OF THE REPUBLIC OF BURYATIA." Bulletin of Siberian Medicine 14, no. 3 (June 28, 2015): 23–29. http://dx.doi.org/10.20538/1682-0363-2015-3-23-29.

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From 1989 to 2013, demographic processes in the Republic of Buryatia were analyzed. Changes in the basic parameters of the population movement: births, deaths and migration were influenced by the sex and age structure of the population. The proportion of the Russians decreased from 69.9% in 1989 to 64.9% in 2010 and the number of the Buryats increased from 24.0 to 29.5%. With the increase in the proportion of residents over 60 years, a process of the aging of the population was observed. In 2000–2013, there was a positive dynamics of the natural movement of the population, the natural increase in /Т ёь9013 was 5,8 per 1000 persons. Migration population decline in the Republic of Buryatia keeps stable.

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33

De Wreede, Robert E. "Demographic characteristics of Pterygophora californica (Laminariales, Phaeophyta)." Phycologia 25, no. 1 (March 1986): 11–17. http://dx.doi.org/10.2216/i0031-8884-25-1-11.1.

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34

Bhattacharjee, Rupjyoti, Juri Baruah, and Gita Doley. "Relationship between parental resilience and demographic characteristics." Pharma Innovation 11, no. 6S (June 1, 2022): 80–88. http://dx.doi.org/10.22271/tpi.2022.v11.i6sb.12913.

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35

Atnagulov, Ravil'evic. "Demographic characteristics of the Serbs in Russia." Nasledje, Kragujevac 14, no. 37-1 (2017): 27–31. http://dx.doi.org/10.5937/naslkg1701027a.

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36

Szarka, Noée, and Filip Biljecki. "Population estimation beyond counts—Inferring demographic characteristics." PLOS ONE 17, no. 4 (April 5, 2022): e0266484. http://dx.doi.org/10.1371/journal.pone.0266484.

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Mapping population distribution at a fine spatial scale is essential for urban studies and planning. Numerous studies, mainly supported by geospatial and statistical methods, have focused primarily on predicting population counts. However, estimating their socio-economic characteristics beyond population counts, such as average age, income, and gender ratio, remains unattended. We enhance traditional population estimation by predicting not only the number of residents in an area, but also their demographic characteristics: average age and the proportion of seniors. By implementing and comparing different machine learning techniques (Random Forest, Support Vector Machines, and Linear Regression) in administrative areas in Singapore, we investigate the use of point of interest (POI) and real estate data for this purpose. The developed regression model predicts the average age of residents in a neighbourhood with a mean error of about 1.5 years (the range of average resident age across Singaporean districts spans approx. 14 years). The results reveal that age patterns of residents can be predicted using real estate information rather than with amenities, which is in contrast to estimating population counts. Another contribution of our work in population estimation is the use of previously unexploited POI and real estate datasets for it, such as property transactions, year of construction, and flat types (number of rooms). Advancing the domain of population estimation, this study reveals the prospects of a small set of detailed and strong predictors that might have the potential of estimating other demographic characteristics such as income.

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37

Tolou_Ghamari, Zahra, Hamid Mazdak, Masih Saboori, and MehrdadMohammadi Sichani. "Genitourinary tract cancers: Frequency and demographic characteristics." Clinical Cancer Investigation Journal 8, no. 6 (2019): 232. http://dx.doi.org/10.4103/ccij.ccij_81_19.

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38

Smutná, Jana, and Dana Hübelová. "Geo-demographic Characteristics of Immigration to Sweden." Geografické informácie 19, no. 2 (2015): 127–36. http://dx.doi.org/10.17846/gi.2015.19.2.127-136.

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39

Bartosovic, I., E. Zacharova, K. Zrubakova, E. Gazikova, D. J. West, and M. Costello. "Demographic Characteristics of Population Ageing in Slovakia." Clinical Social Work and Health Intervention 8, no. 3 (October 16, 2017): 7–14. http://dx.doi.org/10.22359/cswhi_8_3_01.

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40

SCOTT, ROBERT A., EVELINA GEORGIADES, RICHARD H. WILSON, WILL H. GOODWIN, BEZABHE WOLDE, and YANNIS P. PITSILADIS. "Demographic Characteristics of Elite Ethiopian Endurance Runners." Medicine & Science in Sports & Exercise 35, no. 10 (October 2003): 1727–32. http://dx.doi.org/10.1249/01.mss.0000089335.85254.89.

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41

Edwards, Valerie J., Lisa C. McGuire, Erin D. Bouldin, and Christopher A. Taylor. "DEMOGRAPHIC CHARACTERISTICS OF CAREGIVERS, BRFSS, 2015-2017." Innovation in Aging 3, Supplement_1 (November 2019): S188. http://dx.doi.org/10.1093/geroni/igz038.673.

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Abstract As caregiving is becoming a leading public health issue, we used the BRFSS to better understand who caregivers are as well as features of their caregiving experience. We combined BRFSS data from three years (2015-2017) to examine demographic characteristics including gender, race, age, education, employment, and marital status. Slightly more than one in five BRFSS respondents (20.7%) were caregivers. The majority were women, had at least some college, were employed, and married or living with a partner. Most caregivers were under 45 years old, but a substantial proportion (20.7%) were 65 years or older. There was significant state variation by every demographic characteristic. These data underscore that caregiving is a common feature of U.S. family life, and caregivers’ concerns should be considered in healthcare, employment, and service provision. Important state-level variations uncovered by use of the BRFSS Caregiving Module could lead to better targeting of caregiver support programs.

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Altun, Yaşar, İrfan Aydın, and Abdullah Algın. "Demographic Characteristics of Stroke Types in Adıyaman." Turkish Journal Of Neurology 2018, no. 1 (March 1, 2018): 26–31. http://dx.doi.org/10.4274/tnd.94103.

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43

Işık, Hakan. "Demographic characteristics of pectus deformities across Turkey." Turkish Journal of Thoracic and Cardiovascular Surgery 28, no. 2 (April 20, 2020): 322–30. http://dx.doi.org/10.5606/tgkdc.dergisi.2020.18465.

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44

Hoffman, Martin D., and Kevin Fogard. "Demographic Characteristics of 161-km Ultramarathon Runners." Research in Sports Medicine 20, no. 1 (January 2012): 59–69. http://dx.doi.org/10.1080/15438627.2012.634707.

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45

Onywera, Vincent O., Robert A. Scott, Michael K. Boit, and Yannis P. Pitsiladis. "Demographic characteristics of elite Kenyan endurance runners." Journal of Sports Sciences 24, no. 4 (April 2006): 415–22. http://dx.doi.org/10.1080/02640410500189033.

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46

Caidwell, Jackie, and Jean Pearson Scott. "Effective hospice volunteers: Demographic and personality characteristics." American Journal of Hospice and Palliative Medicine® 11, no. 2 (March 1994): 40–45. http://dx.doi.org/10.1177/104990919401100212.

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47

Onywera, Vincent O., Robert A. Scott, Michael K. Boit, and Yannis P. Pitsiladis. "Demographic Characteristics Of Elite Kenyan Endurance Runners." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S294—S295. http://dx.doi.org/10.1249/00005768-200505001-01545.

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48

Onywera, Vincent O., Robert A. Scott, Michael K. Boit, and Yannis P. Pitsiladis. "Demographic Characteristics Of Elite Kenyan Endurance Runners." Medicine & Science in Sports & Exercise 37, Supplement (May 2005): S294???S295. http://dx.doi.org/10.1097/00005768-200505001-01545.

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49

Georgiades, E., R. A. Scott, R. H. Wilson, W. Goodwin, B. Wolde, and Y. P. Pitsiladis. "DEMOGRAPHIC CHARACTERISTICS OF ELITE ETHIOPIAN ENDURANCE RUNNERS." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S90. http://dx.doi.org/10.1097/00005768-200305001-00497.

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50

Nigem, Elias T. "Arab Americans: Migration, Socioeconomic and Demographic Characteristics." International Migration Review 20, no. 3 (September 1986): 629–49. http://dx.doi.org/10.1177/019791838602000305.

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This article examines the status of Arab Americans in the United States in light of their migration history and selected demographic and socioeconomic characteristics. Using the “Ancestry question” to define this group, and data from the U.S. Bureau of the Census and other secondary sources, the findings indicate that Arab Americans, although a recent group, share similar migratory forces with other emigrant groups. However, they are above the national average in terms of socioeconomic status. Also, there appears to be a difference with respect to socioeconomic and demographic characteristics between those of single- and multiple-ancestry groups.

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