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Artykuły w czasopismach na temat „Behavioral Risk Factors Surveys”

Autor: Grafiati

Data publikacji: 26 lipca 2024

Data aktualizacji: 31 lipca 2025

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1

Marks, James S., Gary C. Hogelin, Eileen M. Gentry, et al. "The Behavioral Risk Factor Surveys: I. State-Specific Prevalence Estimates of Behavioral Risk Factors." American Journal of Preventive Medicine 1, no. 6 (1985): 1–8. http://dx.doi.org/10.1016/s0749-3797(18)31371-0.

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Schmid, Thomas L. "Monitoring Behavioral Risk Factors for Cardiovascular Disease in Russia." Circulation 103, suppl_1 (2001): 1345. http://dx.doi.org/10.1161/circ.103.suppl_1.9999-8.

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0008 The purpose of the project was to provide assistance to Russia in establishing a national surveillance system for monitoring CVD risk factors. The Behavioral Risk Factor Surveillance System, which was developed in the US and is used by all State Health Departments, served as a template for the Russian system. Personal interviews, mail-based and telephone-based surveys were reviewed and considered. Questions were taken from previous Russian, European, and US surveys to collect information on smoking, alcohol use, fruit and vegetable consumption, physical activity, blood pressure, self-repo

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Marks, James S., Gary C. Hogelin, Eileen M. Gentry, et al. "REPRINT OF: The Behavioral Risk Factor Surveys: I. State-Specific Prevalence Estimates of Behavioral Risk Factors." American Journal of Preventive Medicine 59, no. 6 (2020): 779–86. http://dx.doi.org/10.1016/j.amepre.2020.10.007.

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Ssemugabo, Charles, Elizeus Rutebemberwa, Dan Kajungu, George W. Pariyo, Adnan A. Hyder, and Dustin G. Gibson. "Acceptability and Use of Interactive Voice Response Mobile Phone Surveys for Noncommunicable Disease Behavioral Risk Factor Surveillance in Rural Uganda: Qualitative Study." JMIR Formative Research 3, no. 4 (2019): e15000. http://dx.doi.org/10.2196/15000.

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Background There is need for more timely data to inform interventions that address the growing noncommunicable disease (NCD) epidemic. With a global increase in mobile phone ownership, mobile phone surveys can bridge this gap. Objective This study aimed to explore the acceptability and use of interactive voice response (IVR) surveys for surveillance of NCD behavioral risk factors in rural Uganda. Methods This qualitative study employed user group testing (UGT) with community members. The study was conducted at the Iganga-Mayuge Health and Demographic Surveillance Site (IM-HDSS) in Eastern Ugan

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Zubkova, T. S., E. S. Zamiatnina, and D. A. Khalturina. "The system of indicators of behavioral risk factors in Russia at the national and regional levels." Public Health 1, no. 4 (2022): 56–67. http://dx.doi.org/10.21045/2782-1676-2021-1-4-56-67.

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Introduction. Behavioral risk factors are associated with 47% of all-cause mortality in Russia.The goal of this study was to assess and to select the available data sources on the burden of behavioral risk factors in Russia and its regions.Methods included collection and systematization of medical, demographic and survey which reflected the burden of behavioral risk factors in Russia.Results. The spectrum of sources of the data on behavioral risk factors among adults in Russia has significantly expanded in recent years. Rosstat agency provided regional survey data on prevalence of consumption

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Родіка, Ігнат. "CARDIOVASCULAR RISK FACTORS IN GROUP AGED 18-29 YEARS." Молодий вчений, no. 4 (92) (April 30, 2021): 133–38. http://dx.doi.org/10.32839/2304-5809/2021-4-92-29.

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Cardiovascular risk factors are the triggers of cardiovascular diseases. Early identification of cardiovascular risk factors in young people is of major importance, as most of these factors are reversible and therefore, their effects can be reduced by preventive interventions. The study includes the analysis of WHO official documents on chronic non-communicable diseases, behavioral and metabolic risk factors of these pathologies, as well as WHO STEPS reports on the results of cross-sectional studies for behavioral risk factors of non-communicable diseases. Prevalence of cardiovascular risk fac

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Bradstock, M. K., J. S. Marks, M. R. Forman, et al. "Drinking-driving and health lifestyle in the United States: Behavioral Risk Factors Surveys." Journal of Studies on Alcohol 48, no. 2 (1987): 147–52. http://dx.doi.org/10.15288/jsa.1987.48.147.

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Jeong, Nam Jeong, Eunil Park, and Angel P. del Pobil. "Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach." International Journal of Environmental Research and Public Health 18, no. 2 (2021): 612. http://dx.doi.org/10.3390/ijerph18020612.

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Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination Survey. After filtering incomplete responses, 5462 valid responses remained. Items including one’s social-environmental fa

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Mukora-Mutseyekwa, Fadzai, Hajo Zeeb, Lydia Nengomasha, and Nicholas Kofi Adjei. "Trends in Prevalence and Related Risk Factors of Overweight and Obesity among Women of Reproductive Age in Zimbabwe, 2005–2015." International Journal of Environmental Research and Public Health 16, no. 15 (2019): 2758. http://dx.doi.org/10.3390/ijerph16152758.

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Background: The prevalence of non-communicable diseases is rising in low and middle-income countries (LMICs) such as Zimbabwe, yet, the risk factors associated with overweight and obesity among women in the country have not been explored. This study investigated the trends in prevalence and demographic, socioeconomic and behavioral risk factors of overweight and obesity among Zimbabwean women of reproductive age (15–49 years) from 2005–2015. Methods: Data from the 2005/2006, 2010/2011 and 2015 Zimbabwe Demographic and Health Survey (ZDHS) were analyzed. Multiple logistic regression models were

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Low, Man, Chan, and Alabdulkarim. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors." International Journal of Environmental Research and Public Health 16, no. 8 (2019): 1335. http://dx.doi.org/10.3390/ijerph16081335.

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Behavioral-based safety is an important application of behavioral science that can be used to address safety problems in the construction sector. An understanding of construction worker risk-taking behavior is deemed to be a crucial basis on which concerned authorities and construction companies can develop effective safety interventions to reduce construction accidents. However, no studies have been conducted to examine the effects of safety climate, work condition, attitude toward risk, cognitive bias, and risk perception on construction worker risk-taking behavior through a quantitative app

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Rodgers, Gregory B. "Factors Contributing to Child Drownings and Near-Drownings in Residential Swimming Pools." Human Factors: The Journal of the Human Factors and Ergonomics Society 31, no. 2 (1989): 123–32. http://dx.doi.org/10.1177/001872088903100201.

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This article examines and quantifies factors affecting the risk of child drowning and near-drowning accidents in residential swimming pools. Two surveys were conducted. One survey provided information on children and pools involved in accidents; the other provided information on children exposed to the risk of drowning and their swimming environment. A logit regression model was used to analyze the survey results. The accident determinants were estimated, and risk factors calculated. The results are analyzed within the context of the child drowning and child development literature. Possible in

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Korotkova, Ekaterina O., and Natalia N. Kamynina. "Monitoring non-communicable diseases risk factors in national adult health surveys – a review of international experience." City Healthcare 3, no. 1 (2022): 94–105. http://dx.doi.org/10.47619/2713-2617.zm.2022.v3i1;94-105.

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Introduction. Monitoring is an important tool for managing the epidemic of noncommunicable diseases. The insufficiency of the measures taken to create and strengthen national systems of epidemiological surveillance for noncommunicable diseases is recognized. In this regard, the search and development of rapid and cost-effective approaches to monitoring risk factors for noncommunicable diseases continues. Objective. To explore an approach to developing a national monitoring system for risk factors for noncommunicable diseases based on population health surveys in some countries of the world. Ma

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Lowenstein, Steven R., Jane Koziol-McLain, Michael Thompson, et al. "Behavioral Risk Factors in Emergency Department Patients: A Multisite Survey." Academic Emergency Medicine 5, no. 8 (1998): 781–87. http://dx.doi.org/10.1111/j.1553-2712.1998.tb02504.x.

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MILLER–JOHNSON, SHARI, DONNA–MARIE WINN, JOHN COIE, et al. "Motherhood during the teen years: A developmental perspective on risk factors for childbearing." Development and Psychopathology 11, no. 1 (1999): 85–100. http://dx.doi.org/10.1017/s0954579499001960.

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The role of peer relations in childhood and behavioral and family characteristics in early adolescence as risk factors for adolescent childbearing was investigated. Sociometric surveys across third, fourth, and fifth grade and parent and child measures of behavioral and family functioning at sixth and eighth grade were collected in a lower income, urban sample of 308 African American females. Results replicated earlier findings on the role of childhood aggression as a predictor of teen motherhood. In addition, girls who displayed stable patterns of childhood aggression were at significantly hi

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Oakley-Girvan, Ingrid, Juan M. Lavista, Yasamin Miller, et al. "Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study." JMIR Formative Research 3, no. 1 (2019): e10246. http://dx.doi.org/10.2196/10246.

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Background Risk factors, including limited exercise, poor sleep, smoking, and alcohol and drug use, if mitigated early, can improve long-term health. Risk prevalence has traditionally been measured using methods that now have diminished participation rates. With >75% of American citizens owning smartphones, new data collection methods using mobile apps can be evaluated. Objective The objective of our study was to describe the development, implementation, and evaluation of a mobile device–based survey system for behavioral risk assessment. Specifically, we evaluated its feasibility, usabilit

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Raghunath, K. Madhu Kishore, S. Lakshmi Tulasi Devi, and Chandra Sekhar Patro. "An Empirical Take on Qualitative and Quantitative Risk Factors." International Journal of Risk and Contingency Management 6, no. 4 (2017): 1–15. http://dx.doi.org/10.4018/ijrcm.2017100101.

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Companies face a great challenge of balancing both risk and return on par. In today's volatile economic environment, success depends on strategically managing risks. All organisations accept risk in every decision that they take and risk management is therefore it is strategic when done proactively. Some risks are financial or quantitative and others are associated with behavioral factors or qualitative. Effective strategic risk management must address both quantitative and qualitative factors. Some factors are difficult to quantify or even identify. This study develops a framework from a lite

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Bowlin, Steven J., Barbara D. Morrill, Anne N. Nafziger, Paul L. Jenkins, Carol Lewis, and Thomas A. Pearson. "Validity of cardiovascular disease risk factors assessed by telephone survey: The behavioral risk factor survey." Journal of Clinical Epidemiology 46, no. 6 (1993): 561–71. http://dx.doi.org/10.1016/0895-4356(93)90129-o.

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Pengpid, Supa, and Karl Peltzer. "Prevalence and Correlates of Behavioral Non-Communicable Diseases Risk Factors among Adolescents in the Seychelles: Results of a National School Survey in 2015." International Journal of Environmental Research and Public Health 16, no. 15 (2019): 2651. http://dx.doi.org/10.3390/ijerph16152651.

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The aim of this study was to investigate the prevalence and correlates of behavioral non-communicable disease (NCD) risk factors among a national sample of school-going adolescents in the Seychelles. Cross-sectional data were analyzed from 2540 school adolescents (median age 14 years, interquartile range = 2), in the Seychelles “Global School-Based Student Health Survey (GSHS)” in 2015. Behavioral NCD risk factors (current tobacco use, current alcohol use, inadequate fruit and vegetable consumption, soft drink consumption, overweight or obesity, physical inactivity, and leisure-time sedentary

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Singh, Ram B., Aminat Magomedova, Agnieszka Wilkzynska, Jan Fedacko, M. Arif Niaz, and Ghizal Fatima. "Development and validation of a questionnaire for assessment of happiness with reference to behavioral determinants of health. The Indian happiness rating scale III." MOJ Public Health 12, no. 3 (2023): 137–43. http://dx.doi.org/10.15406/mojph.2023.12.00423.

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Background: Recent surveys indicate that the prevalence of happiness is more common in developed countries compared to developing countries, which is considered due to better availability of affordable medical care, more satisfaction in life and economic development. It is possible that chronic anxiety, aggression and depression may be associated with lack of happiness which may predispose poor social, and physical health, leading to unhappiness. This study aims to develop and validate questionnaire for assessment of happiness with greater accuracy, in the behavioral risk factors, so that the

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Oladeji, Olubusola, Chi Zhang, Tiam Moradi, et al. "Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study." JMIR Public Health and Surveillance 7, no. 4 (2021): e24348. http://dx.doi.org/10.2196/24348.

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Background The prevalence of chronic conditions such as obesity, hypertension, and diabetes is increasing in African countries. Many chronic diseases have been linked to risk factors such as poor diet and physical inactivity. Data for these behavioral risk factors are usually obtained from surveys, which can be delayed by years. Behavioral data from digital sources, including social media and search engines, could be used for timely monitoring of behavioral risk factors. Objective The objective of our study was to propose the use of digital data from internet sources for monitoring changes in

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Barg, Anastasiya O. "Peculiarities of behavioral risk factors for health in workers of industrial enterprises." Hygiene and sanitation 95, no. 1 (2019): 48–53. http://dx.doi.org/10.18821/0016-9900-2016-95-1-48-53.

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There is actualized the problem of the needfor the awareness of the peculiarities of the subjective perception of health risks in the particular social group as the first step towards the construction of an effective system for the provision of information about risks. There was noted the presence of the gap between expert and everyday knowledge about risk. On the base of materials of two representative sociological surveys of working population of the Perm region with the use of the author tools of the research, there was performed in-depth analysis of the perception of risks and were shown t

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Han, Claire J., Fode Tounkara, Matthew Kalady, et al. "Risk Factors of Health-Related Quality of Life among Gastrointestinal Cancer Survivors in the U.S.: With a Focus on Social and Behavioral Determinants of Health (SBDH)." International Journal of Environmental Research and Public Health 20, no. 17 (2023): 6676. http://dx.doi.org/10.3390/ijerph20176676.

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Background: Increasing numbers of long-term gastrointestinal (GI) cancer survivors highlight the importance of understanding the factors contributing to their health-related quality of life (HRQoL). We investigated the risk factors of HRQoL, including demographics, clinical characteristics, and social and behavioral determinants of health (SBDH). Methods: Data on adult GI cancer survivors (n = 3201) from the Behavioral Risk Factors Surveillance System (BRFSS) surveys from 2014–2021 (except for 2015) were analyzed. Unadjusted/adjusted logistic regression was used. Results: The majority were wom

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Charmaraman, Linda, Amanda M. Richer, and Megan A. Moreno. "Social and Behavioral Health Factors Associated with Violent and Mature Gaming in Early Adolescence." International Journal of Environmental Research and Public Health 17, no. 14 (2020): 4996. http://dx.doi.org/10.3390/ijerph17144996.

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We examined how risk level of video games, measured by maturity and violence level, was associated with behavioral health, social impacts, and online social interactions. School-based surveys in two different cohorts assessed self-reported gaming behaviors, health, and social media use. For Study 1, our 700 participants were 52% female and 48% White (mean age 12.7). Middle school students who played the high-risk games reported higher depressive symptoms and problematic internet behaviors, less sleep, more time spent playing games, and higher frequency of checking social media than non-gaming

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Andersson, Claes, and Anders Håkansson. "Associations between Risk Factors in Late Adolescence and Problem Behaviors in Young Adulthood: A Six-Year Follow-Up of Substance Related and Behavioral Addictions in Swedish High School Seniors." International Journal of Environmental Research and Public Health 18, no. 23 (2021): 12766. http://dx.doi.org/10.3390/ijerph182312766.

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Introduction: Risk factors of traditional substance use related problems in young adults are more well-known than for behavioral addictions such as gambling and gaming problems. The present study aims to provide knowledge about the longitudinal patters of substance use related and behavioral addictions in early adulthood. Methods: Using self-report surveys, substance-related, psychiatric, and demographic predictors were assessed in Swedish high school seniors and re-assessed six years later along with gambling and gaming problems, n = 800. Associations (Risk Ratios) between risk factors in lat

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Dixita, Lonim, Hyder M. Khurshid, and Ehsanullah Tarin. "Risk Factors Associated with Non-Communicable Diseases: Trends and Policy Implications in Nepal." Annals of King Edward Medical University 28, no. 4 (2023): 449–56. http://dx.doi.org/10.21649/akemu.v28i4.5312.

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Objective: To determine the trends in the prevalence of non-communicable diseases associated risk factors and implications for policies and strategies. Background: Non-Communicable Diseases (NCDs) contribute increasingly to disease burden in Nepal. The main drivers to this situation are the NCD related risk factors; and to determine their prevalence the Nepal Ministry of Health and Population conducted WHO Stepwise Approach to NCD Risk Factor Surveillance (STEPS) surveys in 2007, 2012 and 2019. This paper, by using results of STEPS surveys, explores the trends of NCD related risk factors and t

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Panjaitan, Felisia, Servatia Mayang Setowati, and Yoshia Christian Mahulete. "PEER TO PEER LENDING : GENERATION Z ATTRACTION FACTORS AND FUTURE IMPLICATIONS." TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN 4, no. 4 (2024): 422–37. http://dx.doi.org/10.55047/transekonomika.v4i4.678.

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This study is about the factors of behavioral intention to borrow from the perspective of Generation Z toward peer-to-peer lending. This study applied primary data by collecting surveys distributed to Gen Z on Java Island. The sample used was 44 male respondents and 110 female respondents. Factors that influence borrowing intention were tested with SEM PLS 4.0. The research shows that the variables of utilitarian value, risk perception, and financial literacy are significant to the behavioral intention of Peer To Peer Lending. In addition, the findings show that the variables of convenience an

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Bell, Teresa M., Christopher A. Harle, Dennis P. Watson, and Aaron E. Carroll. "2170 Risk factors for prescription opioid misuse after traumatic injury in adolescents." Journal of Clinical and Translational Science 2, S1 (2018): 87. http://dx.doi.org/10.1017/cts.2018.302.

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OBJECTIVES/SPECIFIC AIMS: The objective of this study is to determine predictors and motives for sustained opioid use, prescription misuse, and nonmedical opioid use in the adolescent trauma population. METHODS/STUDY POPULATION: This is a prospective cohort study that will follow patients for 1 year and administer surveys to patients on prescription opioid usage; substance use; utilization of pain management and mental health services; mental and physical health conditions; and behavioral and social risk factors. Patient eligibility criteria include: (1) patient is 12–18 years of age; (2) admi

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K M, Keerthana. "AI-Driven Understanding and Predicting Gadget Addiction Among Students." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04496.

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ABSTRACT: In recent years, the overuse of electronic gadgets among students has emerged as a significant concern, affecting their academic performance, mental health, and social interactions. This study aims to understand and predict gadget addiction among students using Artificial Intelligence (AI) techniques, particularly machine learning models. By collecting behavioral, academic, and psychological data through structured surveys and usage logs, the study applies supervised learning algorithms such as Decision Trees, Random Forest, and Support Vector Machines to identify patterns and risk f

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Sabogal, Fabio, and Joseph A. Catania. "HIV Risk Factors, Condom Use, and HIV Antibody Testing among Heterosexual Hispanics: The National AIDS Behavioral Surveys (NABS)." Hispanic Journal of Behavioral Sciences 18, no. 3 (1996): 367–91. http://dx.doi.org/10.1177/07399863960183007.

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Hind, Bourezk, Acha Nawfal, and Barka Hafid. "Factors Influencing Moroccan Individual Investor Behavior: Survey Evidence." International Journal of Business and Technology Studies And Research 2, no. 1 (2020): 13 pages. https://doi.org/10.5281/zenodo.3697708.

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<em>Investor’s behavior is affected by a variety of psychological heuristics and biases while making investment decisions. Efficient market hypothesis (EMH) accuracy to provide explanations for certain phenomena that occur in the financial markets seems limited. Behavioral finance has challenged this notion by highlighting the important role of behavioral and emotional factors in investor decision-making. In this paper, we investigate the cognitive biases to which Moroccan individual investors are subject mainly the overconfidence bias, herding behavior, loss and risk aversion. We conduc

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Dieci, Maria, Juan J. Llibre-Rodriguez, Daisy Acosta, and William H. Dow. "Cuba’s cardiovascular risk factors: International comparison of levels and education gradients." PLOS ONE 16, no. 3 (2021): e0247831. http://dx.doi.org/10.1371/journal.pone.0247831.

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Background Cuba’s life expectancy at 79 is third highest in Latin America. Many attribute this to social investments in health and education, but comparative research is sparse, thus we compare Cuba with neighboring Dominican Republic, Costa Rica due to its strong social protections, and the U.S. Given high cardiovascular mortality, we focus on cardiovascular risk factor levels. To assess the role of health care, we distinguish medically amenable biomarkers from behavioral risk factors. To assess the role of Cuba’s focus on equity, we compare education gradients in risk factors. Methods We ana

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Nordstrom, D. L. "Rural population survey of behavioral and demographic risk factors for loaded firearms." Injury Prevention 7, no. 2 (2001): 112–16. http://dx.doi.org/10.1136/ip.7.2.112.

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Galikeeva, Anuza, Tatiana Larionova, Tatyana Vasilyeva, et al. "BEHAVIORAL HEALTH RISK FACTORS AMONG MEDICAL STUDENTS BASED ON THE SURVEY RESULTS." Social Aspects of Population Health 71, no. 1 (2025): 13. https://doi.org/10.21045/2071-5021-2025-71-1-13.

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Significance. Analyzing and eliminating factors that negatively affect the health of the younger generation are necessary to reduce disease incidence and increase healthy life expectancy among the citizens in the long term. Increasing students' interest in healthy lifestyle and health maintenance is one of the urgent tasks of modern society. Purpose: to analyze a self-rated relationship between health status and lifestyle among medical students. Material and methods. The study involved 195 students of medical institutions of higher education, including 162 (83%) females and 33 (17%) males. The

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Jang, Cho, Jang, et al. "Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea." International Journal of Environmental Research and Public Health 16, no. 12 (2019): 2161. http://dx.doi.org/10.3390/ijerph16122161.

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This study examined the public’s preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (n = 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behav

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Awais, Muhammad, Ribbat Khan, and Arslan Muhammad. "The Media's Role in Fostering Knowledge of Financial Management: A Case of Pakistan." Journal of Workplace Behavior 4, no. 1 (2023): 51–67. http://dx.doi.org/10.70580/jwb.04.01.0172.

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This study investigates how behavioural biases affect how individual investors make investing decisions. Drawing upon the discipline of behavioral finance, which integrates psychological insights into financial decision-making, we investigate the presence and effects of various biases on investment behavior. The study aims to contribute to understand the factors thoroughly that shape individuals' investment choices and their subsequent financial outcomes. Using a mixed-methods approach, including surveys and interviews, we explore the prevalence and magnitude of biases for instance loss aversi

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Orlov, A. V., O. P. Rotar', M. A. Boyarinova, et al. "Gender Differences of Behavioral Risk Factors in Saint-Petersburg Inhabitants." Annals of the Russian academy of medical sciences 70, no. 5 (2015): 585–91. http://dx.doi.org/10.15690/vramn.v70.i5.1446.

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Background: In developed countries there are significant gender differences in lifetime expectancy that can be explained by behavioral risk factors (RF).Objective: The aim of our study was to estimate gender features of behavioral RF in general population of Saint-Petersburg, Russia.Methods: As a part of all-Russian epidemiology survey ESSE-RF a random sampling of 1600 Saint-Petersburg inhabitants (25-64 y.o.) stratified by age and sex was performed. All participants filled in the questionnaire. Anthropometry (weight, height, body-mass index (BMI), waist circumference (WC)) and fasting blood-t

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Viguier, Jerome, François Eisinger, Sebastien Couraud, et al. "Awareness and misconceptions of colorectal cancer risk factors among laypersons and physicians." Journal of Clinical Oncology 35, no. 4_suppl (2017): 536. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.536.

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536 Background: The aim of EDIFICE surveys is to improve insight into the behavior of the French population with regard to cancer prevention and participation in screening programs. The colorectal cancer (CRC) screening program is in place and targets the 50-74-yr age group. CRC prevention also relies on increased awareness of known risk factors (behavioral [BRF] or non-behavioral [NBRF]). This analysis focuses on awareness of CRC risk factors among the lay population and physicians. Methods: The 4th nationwide observational survey was conducted by phone interviews using the quota method. A re

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Dai, Hongying, Brian R. Lee, and Jianqiang Hao. "Predicting Asthma Prevalence by Linking Social Media Data and Traditional Surveys." ANNALS of the American Academy of Political and Social Science 669, no. 1 (2016): 75–92. http://dx.doi.org/10.1177/0002716216678399.

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Asthma is one of the most common chronic diseases that has a profound impact on people’s well-being and our society. In this study, we link multiple large-scale data sources to construct an epidemiological model to predict asthma prevalence across geographic regions. We use: (1) the Social Media Monitoring (SMM) data from Twitter ( N = 500 million tweets/day), (2) the 2014 Behavioral Risk Factor Surveillance System (BRFSS) ( N = 464,664), and (3) the 2014 American Community Survey (ACS) conducted by the U.S. Census Bureau ( N = 3.5 million per year). We predict asthma prevalence in the traditi

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Akushevich, Igor, Julia Kravchenko, Lucy Akushevich, Svetlana Ukraintseva, Konstantin Arbeev, and Anatoliy Yashin. "Cancer Risk and Behavioral Factors, Comorbidities, and Functional Status in the US Elderly Population." ISRN Oncology 2011 (July 12, 2011): 1–9. http://dx.doi.org/10.5402/2011/415790.

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About 80% of all cancers are diagnosed in the elderly and up to 75% of cancers are associated with behavioral factors. An approach to estimate the contribution of various measurable factors, including behavior/lifestyle, to cancer risk in the US elderly population is presented. The nationally representative National Long-Term Care Survey (NLTCS) data were used for measuring functional status and behavioral factors in the US elderly population (65+), and Medicare Claims files linked to each person from the NLTCS were used for estimating cancer incidence. The associations (i.e., relative risks)

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Kumar Chaudhary, Manoj, Madhav Adhikari, Dinesh Mani Ghimire, and Dhundi Raj Bhattarai. "Heuristic bias and investment decision: Exploring the mediating role of investors’ risk perceptions." Investment Management and Financial Innovations 22, no. 1 (2025): 441–52. https://doi.org/10.21511/imfi.22(1).2025.33.

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This study examines the connections between heuristic prejudices, risk perceptions, and investment decisions among stock market investors in Nepal. The study explores how prejudices such as overconfidence, representativeness, availability, and anchoring and adjustment shape investment choices, with a specific emphasis on the mediating influence of risk perception. Through a quantitative approach, data were collected from 404 respondents via a self-administered survey, and Structural Equation Modeling (SEM) was used for analysis. The findings reveal that risk perception significantly mediates t

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Ekpo, Nkamare Stephen, Inok Edim Edim, Emefiele Charles Chike, Ebong Iniobong Ephraim, Odama Patrick Ojeka, and Ekeng Ekpenyong Nsa. "Behavioural Finance Factors and Investors Decision in Cross River State." Law and Economy 4, no. 4 (2025): 1–9. https://doi.org/10.63593/le.2788-7049.2025.05.001.

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The study empirically examined tests of behavioral finance factors and investors decision. The specific objectives were to: examine the relationship between overconfidence and investment decision, ascertain the relationship between herding and investment decision, and to investigate the relationship between Risk perception and investment decision. This study employed a survey research design in order to reproducing an extensive and exact picture of the stock market of Nigeria behavioral financing/ investment decisions. The target population of this study included all individual investors in th

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Cilović-Lagarija, Šeila, Sarah Eitze, Siniša Skočibušić, et al. "Behavioral insights during the COVID-19 pandemic in the Federation of Bosnia and Herzegovina: the role of trust, health literacy, risk and fairness perceptions in compliance with public health and social measures." PLOS ONE 20, no. 4 (2025): e0320433. https://doi.org/10.1371/journal.pone.0320433.

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Background and aim Public health and social measures (PHSM) are critical aspects of limiting the spread of infections in pandemics. Compliance with PHSM depends on a wide range of factors, including behavioral determinants such as emotional response, trust in institutions or risk perceptions. This study examines self-reported compliance with PHSM during the COVID-19 pandemic in the Federation of Bosnia and Herzegovina (FBIH). Materials and methods We analyze the association between compliance and behavioral determinants, using data from five cross-sectional surveys that were conducted between

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Gao, Shan, Weimin Li, Shuang Ling, Xin Dou, and Xiaozhou Liu. "An Empirical Study on the Influence Path of Environmental Risk Perception on Behavioral Responses In China." International Journal of Environmental Research and Public Health 16, no. 16 (2019): 2856. http://dx.doi.org/10.3390/ijerph16162856.

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In recent years, the outbreak of numerous environmental risk incidents aroused widespread public concern about the amplification mechanism of environmental risk in China. However, few studies have investigated the influence path of environmental risk perception on behavioral responses in Chinese context from a micro perspective. In this article, we develop a multidimensional path model from environmental risk perception to behavioral responses, which aims to investigate how the public’s environmental risk perception influence its different behavioral responses, including environmental radical

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KAMBERI, Artina, and Shenaj HAXHIMUSTAFA. "LOSS AVERSION: THE UNSEEN FORCE SHAPING INVESTMENT DECISIONS." International Scientific Journal in Economics, Finance, Business, Marketing, Management and Tourism - ECONOMIC VISION 11, no. 21-22 (2024): 33–43. http://dx.doi.org/10.62792/ut.evision.v11.i21-22.p2705.

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This research paper aims to investigate the profound impact of loss aversion on individual investment decision-making, with a specific focus on its influence on risk preferences. Loss aversion, a key concept in behavioral economics, posits that individuals experience a greater psychological impact from losses than equivalent gains, thereby shaping their decision-making processes. The study employs an empirical approach, utilizing a diverse sample of individual investors to analyze how loss aversion interacts with risk preferences and influences investment choices. The research methodology invo

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Veldheer, Susan, Wen-Jan Tuan, Martha Wadsworth, Lawrence Sinoway, Christopher Sciamanna, and Xiang Gao. "Gardening and Cardiovascular Disease Risk Factors in the 2019 Behavioral Risk Factor Surveillance System (BRFSS) Survey." Current Developments in Nutrition 5, Supplement_2 (2021): 1100. http://dx.doi.org/10.1093/cdn/nzab053_093.

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Abstract Objectives Gardeners may have better health outcomes, and consume more fruits and vegetables (F&V), than non-gardeners. However, this evidence is mainly based on small, non-representative samples. The purpose of this study was to understand differences in dietary and health outcomes between gardeners and non-gardeners using physical activity data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Methods Adults (age 18+) with complete self-reported physical activity (PA) data were included. Participants were grouped as those who: (1) did not engage in any PA (non-ex

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Latyshevskaya, N. I., V. V. Mirochnik, and L. A. Davydenko. "Behaver and risk factors for health of operators employed in oil production and preparation enterprises." Medical Herald of the South of Russia 11, no. 4 (2020): 107–12. http://dx.doi.org/10.21886/2219-8075-2020-11-4-107-112.

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Objective: to evaluate the behavioral risk factors of the workers of the primary oil refining workshop with the aim of using them as a tool for substantiating management decisions and forming vectors of preventive measures.Materials and methods: the method of active survey investigated the prevalence of behavioral risk factors among operators in two age groups (20 – 35 and 36 – 60 years old).Results: the main vectors of behavioral risks for operators of different age groups were established: lack of motor activity, smoking, low medical activity, low perception of behavioral risks. Violations o

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Pholpark, Aungsumalee, Aekplakorn, Wichai, and 신혜리. "Association between Behavioral Risk Factors and Self-Rated Health: Data from National Health Surveys in South Korea and Thailand." Health and Social Welfare Review 37, no. 2 (2017): 498–524. http://dx.doi.org/10.15709/hswr.2017.37.2.498.

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Sarkar, Shoman, Raju Dey, Bidhan Roy Chowdhury, Shahryar Ahmed, and Sagar Chowdhury. "Pattern of Self-Reported Behavioural Risk Factors of Non-Communicable Diseases among Doctors Working in a Tertiary Care Hospital." Chattagram Maa-O-Shishu Hospital Medical College Journal 21, no. 2 (2022): 14–17. http://dx.doi.org/10.3329/cmoshmcj.v21i2.63088.

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Background: Behavioural risk factors reduction is a key to Non-Communicable Diseases (NCDs) control. The doctors are educated and aware of society, yet their lifestyle and work habits have led them to suffer from NCDs. This study was carried out to determine the prevalence of the behavioral risk factors of major NCDs among doctors working at Chittagong Medical College Hospital (CMCH). Materials and methods: This cross-sectional study included 145 doctors working at CMCH from April 2020 to September 2020. A structured self-administered questionnaire based on the WHO STEPS instrument for N

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Kankarwal, Monika, Kamli Prakash, Sachin Kumar, Arshad Ayub, Shivam Pandey, and Sanchita Pugazhendi. "A Cross-sectional Study to Assess the Environmental and Behavioral Risk Factors Associated with Falls in Older Adults Residing in Community Settings of North-east Delhi, India." Journal of the Indian Academy of Geriatrics 21, no. 1 (2025): 57–64. https://doi.org/10.4103/jiag.jiag_2_25.

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Abstract Introduction: Environmental and behavioral risk factors play a major role in causing falls among older adults. Consequently, it is critical to comprehend how behavioral and environmental risk factors contribute to falls among older adults living in Indian communities. Aim and Objective: This study aims to explore environmental and behavioral risk factors associated with falls in older adults. To find an association between sociodemographic characteristics and environmental and behavioral risk factors associated with falls in older adults. Materials and Methods: Through a computer-gene

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Banga, Poonam, Tarundeep Singh, and Rajesh Kumar. "Rapid screening for behavioral risk factors in adolescents in North India." International Journal Of Community Medicine And Public Health 6, no. 8 (2019): 3343. http://dx.doi.org/10.18203/2394-6040.ijcmph20193452.

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Background: Habits get established during the transitional age of adolescence making it important to conduct surveillance to detect high risk behaviours at an early age. Feasibility of such a surveillance system was tested for monitoring the risk factors in schools.Methods: A cross sectional survey was conducted in randomly selected schools of Chandigarh in India, by enrolling 226 students of class V to XII. A pretested structured questionnaire on dietary pattern, physical activity, tobacco and alcohol consumption, drug abuse, mental health, sexual behaviour etc., was administered after ensuri

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