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Journal articles on the topic 'Demographic risk'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Swako Shirahase. "Demography as Social Risk: Demographic Change and Accumulated Inequality." Development and Society 42, no. 2 (2013): 213–35. http://dx.doi.org/10.21588/dns.2013.42.2.004.

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2

Savage, Ian. "Demographic Influences on Risk Perceptions." Risk Analysis 13, no. 4 (1993): 413–20. http://dx.doi.org/10.1111/j.1539-6924.1993.tb00741.x.

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3

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

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4

Savage, I. "Demographic influences on risk perceptions." Insurance: Mathematics and Economics 17, no. 3 (1996): 252–53. http://dx.doi.org/10.1016/0167-6687(96)82440-1.

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5

Wilson, Margo, Martin Daly, and Christine Wright. "Uxoricide in Canada: Demographic risk patterns." Canadian Journal of Criminology 35, no. 3 (1993): 263–91. http://dx.doi.org/10.3138/cjcrim.35.3.263.

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6

Coppola, Mariarosaria, Emilia Di Lorenzo, Albina Orlando, and Marilena Sibillo. "Solvency analysis and demographic risk measures." Journal of Risk Finance 12, no. 4 (2011): 252–69. http://dx.doi.org/10.1108/15265941111158451.

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7

Ahmadi, A., R. Mohammadi, D. C. Schwebel, et al. "Demographic risk factors of self-immolation." Injury Prevention 16, Supplement 1 (2010): A1. http://dx.doi.org/10.1136/ip.2010.029215.1.

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8

Wang, Guiming, W. Daniel Edge, and Jerry O. Wolff. "Demographic uncertainty in ecological risk assessments." Ecological Modelling 136, no. 1 (2001): 95–102. http://dx.doi.org/10.1016/s0304-3800(00)00378-1.

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9

Stallard, Eric. "Demographic Issues in Longevity Risk Analysis." Journal of Risk & Insurance 73, no. 4 (2006): 575–609. http://dx.doi.org/10.1111/j.1539-6975.2006.00190.x.

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10

Phelps, Alexandra J. D., Dorothy Hakimian, Rachel Harrison, and Calla Holmgren. "Demographic risk factors for vaccine hesitancy." American Journal of Obstetrics and Gynecology 228, no. 1 (2023): S256—S257. http://dx.doi.org/10.1016/j.ajog.2022.11.464.

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11

Fellman, Johan. "Demographic Seasonality." Twin Research and Human Genetics 22, no. 03 (2019): 187–94. http://dx.doi.org/10.1017/thg.2019.18.

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AbstractThe seasonality of demographic data has been of great interest. It depends mainly on the climatic conditions, and the findings may vary from study to study. Commonly, the studies are based on monthly data. The population at risk plays a central role. For births or deaths over short periods, the population at risk is proportional to the lengths of the months. Hence, one must analyze the number of births (and deaths) per day. If one studies the seasonality of multiple maternities, the population at risk is the total monthly number of confinements and the number of multiple maternities in

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12

Ting, Qiao, Chrismis Novalinda, and Johannes Bastira Ginting. "Effect of UV Exposure and Demographic Factors on Skin Cancer Risk." International Journal of Research Publication and Reviews 5, no. 11 (2024): 1123–28. http://dx.doi.org/10.55248/gengpi.5.1124.3202.

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13

Hall, David R. "Risk society and the second demographic transition." Canadian Studies in Population 29, no. 2 (2002): 173. http://dx.doi.org/10.25336/p6sc7k.

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Prominent “risk society” theorists such as Giddens and Beck have identified risk as a fundamental organizing principle of contemporary society. Importantly, a major cause of risk awareness and anxiety in modern society is individualism . . a concept Lesthaeghe linked to changes in family formation. In this regard, of the types of risk discussed in the sociological literature, “interpersonal risks” associated with cohabitation, marriage, and parenting are of obvious salience. This paper explores how the modern “risk society” thesis, and the concept of interpersonal risk could materially contrib

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14

Knorr, W., A. Arneth, and L. Jiang. "Demographic controls of future global fire risk." Nature Climate Change 6, no. 8 (2016): 781–85. http://dx.doi.org/10.1038/nclimate2999.

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15

Ji, Min, and Rui Zhou. "Demographic risk in deep-deferred annuity valuation." Annals of Actuarial Science 11, no. 2 (2017): 286–314. http://dx.doi.org/10.1017/s174849951700001x.

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AbstractA deep-deferred annuity is a deferred annuity where payments start very late in life, i.e. well after the normal retirement age. This annuity has received much attention lately as it was made accessible to 401(k) plans in the United States in 2014. By transferring the risk of outliving retirement savings at high ages to annuity providers, deep-deferred annuities provide annuitants with enhanced later-life financial security. However, the valuation of this annuity suffers from high uncertainty because the mortality data at high ages are sparse and possibly unreliable. In this paper, we

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16

Adams, Ben. "Household demographic determinants of Ebola epidemic risk." Journal of Theoretical Biology 392 (March 2016): 99–106. http://dx.doi.org/10.1016/j.jtbi.2015.11.025.

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17

Buys, David R., Richard E. Kennedy, Courtney Phillips Williams, Cynthia J. Brown, and Julie L. Locher. "Social and Demographic Predictors of Nutritional Risk." Family & Community Health 41 (2018): S33—S45. http://dx.doi.org/10.1097/fch.0000000000000180.

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18

C, Margret. "Determination of Demographic and Maternal Risk Factors of Preterm Deliveries among Mothers." International Journal of Science and Research (IJSR) 11, no. 6 (2022): 394–400. http://dx.doi.org/10.21275/sr22520121008.

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19

Shekhar, Suraj Kushe, Rehin K. R. Rehin K.R, and Dr P. T. Raveendran Dr. P.T Raveendran. "Demographic Variables & Nutritional Risk: The Predictive Power Using Binary Logit Model." Indian Journal of Applied Research 3, no. 11 (2011): 278–80. http://dx.doi.org/10.15373/2249555x/nov2013/91.

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20

Dayour, Frederick. "Do Demographic Traits Matter? Backpackers’ Information Technology and Destination-Related Risk Concerns Towards Smartphone Usage." African Journal of Hospitality and Tourism Management 1, no. 1 (2019): 1–17. http://dx.doi.org/10.47963/ajthm.v1i1.134.

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   A number of risks are associated with the use of mobile phones. However, there is still a paucity of evidence on the extent to which demographics influence risk perceptions of smartphone usage. This paper examines backpackers’ perceived risk of smartphone usage and the extent to which demographic attributes influence risk perceptions. A survey involving 567 backpackers was conducted in Ghana. The CFA, ANOVA and independent samples t-test were used to analyse the data. The study showed the relevance of coalescing information technology and destination risks factors in measu

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Dayour, Frederick. "Do demographic traits matter? Backpackers' information technology and destination-related risk concerns towards smartphone usage." African Journal of Hospitality and Tourism Management 1, no. 1 (2019): 1–17. https://doi.org/10.5281/zenodo.3842846.

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   A number of risks are associated with the use of mobile phones. However, there is still a paucity of evidence on the extent to which demographics influence risk perceptions of smartphone usage. This paper examines backpackers’ perceived risk of smartphone usage and the extent to which demographic attributes influence risk perceptions. A survey involving 567 backpackers was conducted in Ghana. The CFA, ANOVA and independent samples t-test were used to analyse the data. The study showed the relevance of coalescing information technology and destination risks factors in measuri

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22

Fiala, Jacob A. "24 Demographic Adjustment Is Not Demographic Correction: A Simulation Study." Journal of the International Neuropsychological Society 29, s1 (2023): 706–7. http://dx.doi.org/10.1017/s1355617723008822.

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Objective:Prior studies have presented demographic adjustment as beneficial because it helps equalize, across demographic groups, the percentage of participants (recruited from the general population without prior diagnosis) who fell beneath the test impairment cutoff (e.g., Smith, et al., 2008). This methodology ignores the possibility that group differences in those falling beneath an impairment cutoff could reflect cognitive impairment prevalence differences between demographic groups in the undiagnosed general population. Demographic group differences in cognitive test scores reflect a mix

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23

Dr., Rachna Jain, and Shikha Sharma Ms. "Role of Demographic Variables in Investment Decisions." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 07 (2018): 489–98. https://doi.org/10.5281/zenodo.1326645.

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Investment behaviour of an investor is strongly influenced by his/her risk tolerance level. However demographic characteristics of the investors drive their risk aptitude. Present study aims at investigating the critical role of demographic variables of age, gender, income, marital status, educational qualifications and occupation on risk tolerance level of investors. An instrument developed by Gomez-Mejia and Balkin (1989) is used to measure the risk aversion level. To interpret the results, the scores were evaluated by the theory developed by Barsky et al. (1997) is used. Regression analysis

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24

Manske, Mary Claire, Machelle D. Wilson, Barton L. Wise, et al. "95 Maternal Epidemiology of Brachial Plexus Birth Injuries in California: 1996-2012." Journal of Clinical and Translational Science 8, s1 (2024): 26. http://dx.doi.org/10.1017/cts.2024.93.

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OBJECTIVES/GOALS: To evaluate the incidence of brachial plexus birth injury (BPBI) and its associations with maternal demographic factors. Additionally, we sought to determine whether longitudinal changes in BPBI incidence differed by maternal demographics. METHODS/STUDY POPULATION: We conducted a retrospective cohort study of over 8 million maternal-infant pairs using California’s Office of Statewide Health Planning and Development Linked Birth Files from 1991-2012. Descriptive statistics were used to determine BPBI incidence and the prevalence of maternal demographic factors (race, ethnicity

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25

Basnet, Pragya, Anjila Basnet, and Poojyashree Karki. "Demographic Profile and Risk Factors for Dry Eye." Nepalese Medical Journal 1, no. 1 (2018): 9–11. http://dx.doi.org/10.3126/nmj.v1i1.20391.

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Introduction: Dry eye is a disorder of the tear film which occurs due to tear deficiency or excessive tear evaporation. It causes damage to the interpalpebral ocular surface and is associated with a variety of symptoms reflecting ocular discomfort.Materials and Methods: This was a hospital-based retrospective descriptive study conducted to study the demography of dry eye patients and associated attributable risk factors for the disease. Every patient presenting with symptoms suggestive of dry eye was given a questionnaire, as per Salisbury Eye Evaluation Study and thorough ocular examination w

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26

Dilsiz, Ahmet, Ferhan Dilsiz, and Nurdan Ökten. "Suicidal Behavior I: Demographic Features And Risk Factors." Journal of Tepecik Education and Research Hospital 2, no. 3 (1992): 297–302. http://dx.doi.org/10.5222/terh.1992.56751.

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27

Dawar, Sher Ayub, Hina Niaz, Asaf Alam Khan, and Zahida Ayub. "Postnatal Depression: Frequency, Demographic Characteristics and Risk Factors." Journal of Gandhara Medical and Dental Science 8, no. 1 (2021): 7–13. http://dx.doi.org/10.37762/jgmds.8-1.120.

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    OBJECTIVES:  The iobjective iof ithe istudy iwas ito iestimate ithe iprevalence iof postpartum idepression iand iits iassociated irisk ifactors iamong imothers.  METHODOLOGY:  This icross-sectional istudy iwas icarried iout iin ithe iDepartment of iObstetrics i& iGynecology,iand iDepartment iof iPsychiatry, iKhyber Teaching Hospital iPeshawar 1st April 2018 till 31st March 2019. iA itotal i750 ipost-natal imothers iwere iscreened irandomly ifor ipostnatal idepression ifor ifirst i1-2 weeks ifollowing idelivery iby iusing iEdinburgh iPostn

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28

Kawka, Edyta, Maria Kozioł-Montewka, and Aneta Filipek-Czerska. "DEMOGRAPHIC DATA AS RISK FACTORS FOR ACTIVE TUBERCULOSIS." Health Problems of Civilization 11, no. 4 (2017): 226–32. http://dx.doi.org/10.5114/hpc.2017.71887.

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29

Thygesen, Lars. "Prospects for socio-demographic risk research in Denmark." Statistical Journal of the United Nations Economic Commission for Europe 6, no. 1 (1989): 1–15. http://dx.doi.org/10.3233/sju-1989-6101.

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30

Holirca, B. "Shape of demographic risk factors in Ciuc Depression." Risks and Catastrophes Journal 23, no. 2 (2018): 167–76. http://dx.doi.org/10.24193/rcj2018_23.

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31

Werbeloff, Nomi, Bruce P. Dohrenwend, Itzhak Levav, et al. "Demographic, Behavioral, and Psychiatric Risk Factors for Suicide." Crisis 37, no. 2 (2016): 104–11. http://dx.doi.org/10.1027/0227-5910/a000359.

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Abstract. Background: There have been very few prospective studies of death by suicide in the general population. Rather, studies of suicide have generally used psychological autopsies, a method that has the potential weakness of recall bias. Aims: To examine correlates of death by suicide among a community-based nonclinical sample prospectively assessed years before death by suicide. Method: We analyzed data from an epidemiological study of a 10-year birth cohort (n = 4,914) conducted in Israel in the 1980s, with follow-up mortality data over 25 years. Results: Eight participants died by suic

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32

Norberg, Ragnar. "Optimal hedging of demographic risk in life insurance." Finance and Stochastics 17, no. 1 (2012): 197–222. http://dx.doi.org/10.1007/s00780-012-0182-3.

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33

Nickols-Richardson, Sharon M., Mary Ann Johnson, Leonard W. Poon, and Peter Martin. "Demographic Predictors of Nutritional Risk in Elderly Persons." Journal of Applied Gerontology 15, no. 3 (1996): 361–75. http://dx.doi.org/10.1177/073346489601500306.

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34

Muscettola, G., S. Pampallona, G. Barbato, M. Casiello, P. Bollini, and Giovanni Muscettola. "Persistent tardive dyskinesia: demographic and pharmacological risk factors." Acta Psychiatrica Scandinavica 87, no. 1 (1993): 29–36. http://dx.doi.org/10.1111/j.1600-0447.1993.tb03326.x.

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35

Akther, Naznin, Md Tarek Azad, Tahmina Jahan Chowdhury, Md Muazzem Hussain, Forida Akter, and Aloka Nanda Talukder. "Socio-Demographic Risk Factors for Severe Acute Malnutrition." Jalalabad Medical Journal 19, no. 2 (2025): 47–53. https://doi.org/10.3329/jmj.v19i2.79389.

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Malnutrition is one of the leading causes of morbidity and mortality in under-five children in developing countries. Bangladesh being one of the developing countries, malnutrition is an important public health problem. This was a hospital-based case-control study conducted in the department of Paediatrics, Jalalabad Ragib-Rabeya Medical College Hospital, Sylhet during the period from July 2013 to June 2014 to see the socio-demographic risk factors for severe acute malnutrition among children under five. Forty-five severe acute malnourished children, aged 6 months to 5 years, with a weight-for-

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36

Filippchenkova, S. I., E. A. Evstifeeva, and I. I. Stolnikova. "Constellation of risk factors of the reproductive potential of youth." SHS Web of Conferences 69 (2019): 00040. http://dx.doi.org/10.1051/shsconf/20196900040.

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The concept of reproduction as a value-semantic formation, a natural biological process, a bloodrelated nature, and a psychological responsibility for preserving the genus is transforming in modern youth. Youth perceptions of life quality, demographic projections, levels of claims, degrees of satisfaction with life situations, and behavioral patterns are influenced by such psychological predictors as responsibility, reflexivity, value-semantic matrix, personal risk factors of decision making. The following issues were analyzed: sexual behavior, reproductive behavior, reproductive attitudes, re

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37

Rani, Soren, and Chaudhary Priyanka. "Clinico-Demographic Demographic and Perinatal Outcome Assessment in Women Presenting with Placenta Previa." International Journal of Pharmaceutical and Clinical Research 14, no. 11 (2022): 685–90. https://doi.org/10.5281/zenodo.13270434.

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<strong>Aim: </strong>The objective of the study was to study the demographic features, obstetric risk factors and management, and perinatal outcome in women presenting with placenta previa. <strong>Methods: </strong>The present study was conducted in the Department of obstetrics and gynaecology, Shahid Nirmal Mahato Medical College & Hospital, Dhanbad,Jharkhand and 60 cases of placenta previa were included who were admitted during the period from 01.08.2020 to 31.07.2021. <strong>Results: </strong>The maximum number of patients in the study group are seen in the a

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38

Kallan, Jeffrey E., and J. Richard Udry. "Demographic components of seasonality of pregnancy." Journal of Biosocial Science 21, no. 1 (1989): 101–8. http://dx.doi.org/10.1017/s0021932000017752.

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SummaryPrevious studies of the seasonality of pregnancy and birth have typically been based on monthly numbers or proportions of pregnancies or births (i.e. their distribution throughout the year) without any explicit accounting of the size of the population actually at risk of pregnancy by month. From data on monthly populations at risk and monthly probabilities of pregnancy this paper determines the relative contribution of each component to the monthly distribution of pregnancies. The data come from the National Survey of Family Growth, Cycle III. While there is some seasonality in the size

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39

Dumbraveanu, Ion. "The demographic crisis and medicine." Moldovan Journal of Health Sciences 29, no. 3 (2022): 5–6. http://dx.doi.org/10.52645/mjhs.2022.3.01.

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Leading research project „Male infertility - systemogenesis of risk factors, study of pathological mechanisms and optimization of prevention, monitoring and treatment strategies in the population of the Republic of Moldova”.

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40

Oreng, Mariana, Claudia Emiko Yoshinaga, and William Eid Junior. "Disposition effect, demographics and risk taking." RAUSP Management Journal 56, no. 2 (2021): 217–33. http://dx.doi.org/10.1108/rausp-08-2019-0164.

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Purpose This study aims to investigate the association of demographic characteristics, market conditions and risk taking with the disposition effect using data on Brazilian individual investors. Design/methodology/approach This study uses a unique data set with monthly data from June 2007 to February 2017 provided by one of the largest asset management firms in Brazil. This paper computes the proportion of gains realized and the proportion of losses realized to see if investors incur the disposition effect. This paper then performs logistic regressions to verify the association between investo

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41

Mantur, Shrishailesh D., Nagendra Gowda. M.R, and Kotresh M. Kotresh. M. "Demographic Profile and Risk Factors of Ocular Morbidity in School Children of South India." International Journal of Scientific Research 3, no. 3 (2012): 231–35. http://dx.doi.org/10.15373/22778179/march2014/78.

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42

Benny Akshata J, Indu. "Lung Resection Surgeries: Clinico - Demographic Profile, Ariscat Risk Score and Immediate Post Operative Complications." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 1596–98. http://dx.doi.org/10.21275/mr23419134517.

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43

Thanki, Heena, and Narayan Baser. "Interactive Impact of Demographic Variables and Personality Type on Risk Tolerance." Emerging Economy Studies 5, no. 1 (2019): 42–54. http://dx.doi.org/10.1177/2394901519825924.

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Investors’ investment decision is much dependent on his/her risk-taking capability, which in turn depends on a variety of factors. Majority of the studies carried out on this topic associate the financial risk tolerance (FRT) with demographics (gender, marital status, age, education income, etc.) of the investor. A handful of the studies on this topic establish a link between FRT and personality type. FRT refers to the investors’ ability to allow the uncertainty of returns while taking their investment decision. Most of the past studies on the related topics have taken Myers-Briggs Type Indica

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44

Ali, Imran, Saleh Al-Sabaan, and Saud Mandurah. "Determinants of the Risk-Taking Attitude among Small Equity Investors." International Journal of Applied Behavioral Economics 5, no. 3 (2016): 1–13. http://dx.doi.org/10.4018/ijabe.2016070101.

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This study explores the personality traits, perceived personal control, behavioral biases, culture, and socio-demographics in determining individual equity investor's risk assumption attitude. The study uses a survey approach to collect responses from small equity investors. A conceptual model is developed and hypotheses are tested through structure equation model (SEM). The result identifies personality traits, perceived personal control, behavioral biases, cultural factor and socio-demographic variables as strong determinants of small equity investor's risk assumption attitude.

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45

Zehra, Amreen. "A Demographic Study of Chronic Bronchitis: An Observational Study." Journal of Integrated Community Health 10, no. 02 (2021): 3–7. http://dx.doi.org/10.24321/2319.9113.202105.

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Background: Chronic bronchitis is a global public health problem affecting those over the age of 40, and it will continue to be a challenge in the future. It is a leading cause of chronic morbidity and mortality around the world.Objective: The purpose of this study is to determine the demographic status of chronic bronchitis patients.Materials and Methods: It is an open-label clinical study conducted on 50 diagnosed patients who visited the Moalejat, Ajmal Khan Tibbiya College and Hospital, Aligarh Muslim University, selected for further inquiry regarding age, sex, occupation, temperament, sea

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Kumar Malviya, Dr Vikas, Dr Shivam Diwan, Dr Tarun Kumar Sainia, and Dr Ashwin Apte. "Demographic study of hemorrhoid with analysis of risk factors." Surgical Update: International Journal of Surgery and Orthopedics 5, no. 1 (2019): 7–13. http://dx.doi.org/10.17511/ijoso.2019.i01.02.

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47

J, Balachandran, and Baiju Sam Jacob. "DEMOGRAPHIC RISK FACTORS FOR SEVERE DISEASE IN PULMONARY TUBERCULOSIS." Journal of Evolution of Medical and Dental Sciences 3, no. 14 (2014): 3673–78. http://dx.doi.org/10.14260/jemds/2014/2341.

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48

Lanier, A. B., M. V. G. Barros, M. A. Collins, B. Goldfine, M. V. Nahus, and C. Ash. "DEMOGRAPHIC DETERMINANTS OF HEALTH-RISK BEHAVIORS FOR UNIVERSITY STUDENTS." Medicine & Science in Sports & Exercise 34, no. 5 (2002): S67. http://dx.doi.org/10.1097/00005768-200205001-00365.

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49

Nepp, Alexander, and James Okrah. "DEMOGRAPHIC RISK AND SOCIAL SUSTAINABILITY OF THE PENSION SYSTEM." CBU International Conference Proceedings 5 (September 23, 2017): 531–36. http://dx.doi.org/10.12955/cbup.v5.980.

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: In the framework of this study, we have obtained a mathematical model for maintaining the financial sustainability of PAYG pension systems.â€¨We introduce the term financial soundness, by which we understand the maintenance of a balance between the contributions to the pension system and the costs of pension payments. We have proved that the financial sustainability of PAYG systems depends on the growth rates of wages, the growth rate of contribution rates. And demographic factors such as the ratio of the number of pensioners and the working population. However, in the context of countries'

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50

Faff, Robert, Terrence Hallahan, and Michael McKenzie. "Nonlinear linkages between financial risk tolerance and demographic characteristics." Applied Economics Letters 16, no. 13 (2009): 1329–32. http://dx.doi.org/10.1080/13504850701381123.

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