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Academic literature on the topic 'Behavioral Risk Factors Surveys'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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Journal articles on the topic "Behavioral Risk Factors Surveys"

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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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Dissertations / Theses on the topic "Behavioral Risk Factors Surveys"

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Mao, Limin. "Gay Asian and Caucasian men in Sydney : cultural, social and cognitive factors associated with sex practices /." Connect to this title online, 2002. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20030303.112942/index.html.

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Azeredo, Catarina Machado. "Características individuais e contextuais associadas ao bullying entre escolares no Brasil." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/5/5137/tde-23092015-142247/.

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O bullying escolar é um importante problema de saúde pública que vem sendo extensivamente estudado em países de alta renda. Nos países de baixa e média renda, características individuais e contextuais associadas ao bullying são pouco conhecidas. A presente tese é composta por três estudos. O estudo 1 objetivou realizar revisão sistemática sobre fatores contextuais associados ao bullying escolar. A busca utilizou as bases de dados MEDLINE, PsychInfo, Web of Knowledge e SciELO. Trinta e um estudos foram incluídos. Resultados sugerem associação entre maior desigualdade de renda em classes, escola

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Serrano, Triana Christian Felipe <1990&gt. "Behavioral factors that trigger Systemic Risk." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6938.

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Since the last financial crisis many new approaches have emerged in an attempt to explain it. Nevertheless, little has been said about the co-evolution of systemic risk and market behavior. A brief introduction to both theories will conduct through a better understanding of the patterns behind the crisis. A comparison between some systemic risk measures and the sentiment experienced by the market give raise to a statistical relationship.

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Finley, Patrick L. "The impact of social marketing on a web-based behavioral risk factor surveillance survey." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1553.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Public and Community Health. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Costello, Sadie Cash. "Environmental, behavioral and familial risk factors for Parkinson's disease." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1679291501&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Holt, Nicole, Shimin Zheng, Jodi L. Southerland, Yan Cao, Deborah L. Slawson, and Lori Paisley. "Prevalence of and Risk Factors for Childhood Obesity in Tennessee Using the 2010 Youth Risk Behavior Survey (YRBS) Data: a Multilevel Analysis." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/100.

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Introduction: Childhood obesity has more than quadrupled in the last 30 years, with the prevalence in adolescents aged 12-17 years increasing from 5% in 1980 to 21% in 2012. The purpose of this study was to estimate the extent to which childhood obesity in Tennessee is associated with between-context differences (districts, schools and classes) and to identify factors at the district, school, class, and individual level that influence the individual weight status among 64,790 Tennessee children and adolescents. Methods: Crosssectional data from the Youth Risk Behavior Survey (YRBS) conducted i

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Pérez-Bonaventura, Iris. "Overweight in preschool children: behavioral problems and early risk factors." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/385210.

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El sobrepès en la infància s’ha convertit en un problema de salut pública ja que està relacionat amb importants comorbiditats mèdiques i cada cop nens més petits tenen sobrepès. Objectius: Examinar de manera transversal i longitudinal les associacions entre problemes de conducta i el sobrepès, i identificar els factors de risc pel sobrepès. Mètode: Una mostra comunitària de n=622 nens de 3 anys va ser seguida fins als 5 anys, registrant anualment l’altura, el pes i la psicopatologia. Els següents instruments van ser administrats als pares: el Qüestionari de Fortaleses i Dificultats, l’Entrevis

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O'Leary, Suzanne R. "Are behavioral factors associated with a woman's risk of endometriosis? /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9834971.

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Nicholas, Rena A. "Workstyle intervention for the prevention of work-related upper extremity problems : a randomized controlled trial /." Download the dissertation in PDF, 2005. http://www.lrc.usuhs.mil/dissertations/pdf/Nicholas2005.pdf.

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Ogbu, Chukweumeka, Sheryl Strasser, Casey Morrell, Nicole Holt, and Shimin Zheng. "Association Between Physical Fighting and Risk Factors in Middle School Students in Tennessee: Data from the 2013 Tennessee Youth Risk Behavior Survey." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/116.

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Books on the topic "Behavioral Risk Factors Surveys"

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Stein, Aryeh D. Behavioral risk factors and preventive health measures: The Massachusetts behavioral risk factor surveys, 1986-1990. Massachusetts Dept. of Public Health, 1992.

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Adams, Mary L. Cancer risk factors in Wyoming: Results from the 2003 Wyoming behavioral risk factor surveillance system. Published by the Preventive Health and Safety Division, 2004.

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Adams, Mary L. Cardiovascular disease risk factors in Wyoming: Results from the 2003 Wyoming behavioral risk factor surveillance system. Published by the Preventive Health and Safety Division, 2004.

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Service, Oklahoma Chronic Disease, ed. Behavioral risk factors among American Indians in Oklahoma. Oklahoma State Dept. of Health, Chronic Disease Service, 2004.

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Maine. Bureau of Health. Division of Health Promotion & Education., ed. Maine behavioral risk factor survey, 1989. Maine Dept. of Human Services, Bureau of Health, Division of Health Promotion & Education, 1991.

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New York (State). Dept. of Health, ed. New York State behavioral risk factor surveillance system, 1983 and 1985. New York State Dept. of Health, 1987.

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Dodge, Richard. Montana behavioral health risk survey: Statewide analysis of selected health risk factors, 1990 annual report. Montana Dept. of Health and Environmental Sciences, Behavorial Risk Factor Surveillance System, Chronic Disease Prevention and Health Promotion Program, 1991.

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Montana. Department of Health and Environmental Sciences. Montana behavioral health risk survey: Statewide analysis of selected health risk factors, 1991 annual report. Dept. of Health and Environmental Sciences, 1992.

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Massachusetts. Chronic Disease Surveillance Program. Health risks & preventive behavior among Massachusetts adults, 1996: Results from the behavioral risk factor surveillance system. Chronic Disease Surveillance Program, Massachusetts Department of Public Health, 1999.

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Section, Colorado Health Statistics, ed. Colorado behavioral risk factor: Surveillance system, 1990. Colorado Dept. of Health, Health Statistics Section, 1993.

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Book chapters on the topic "Behavioral Risk Factors Surveys"

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Morabia, Alfredo, Mary E. Northridge, Sigrid Beer-Borst, and Serge Hercberg. "Harmonising Local Health Survey Data." In Global Behavioral Risk Factor Surveillance. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0071-1_11.

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Molina, Kristine M., Kristine M. Molina, Heather Honoré Goltz, et al. "Risk Factors." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101495.

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Thiriet, Marc. "Behavioral Risk Factors." In Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89315-0_6.

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Gidron, Yori. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1441.

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Bronson, Caitlin A., Rachel S. Rubinstein, and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1612.

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Khanfer, Riyad, John Ryan, Howard Aizenstein, et al. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1441.

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Rubinstein, Rachel S., and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1612.

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Gidron, Yori. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_1441-2.

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Bronson, Caitlin A., Rachel S. Rubinstein, and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_1612-2.

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Gidron, Yori. "Suicide Risk, Suicide Risk Factors." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1517.

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Conference papers on the topic "Behavioral Risk Factors Surveys"

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Win, Alexander, Dylan Richards, Matthew Pearson, and Protective Strategies Study Team. "Cannabis Protective Behavioral Strategies: Moderating the Effects of Antecedents on Consequences?" In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.15.

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The purpose of the present study was to replicate and extend tests of interaction effects between cannabis protective behavioral strategies use and a wide range of risk/protective factors for cannabis-related consequences. We recruited 2,226 college students (Mage = 20.28, SD = 3.37; 68.8% female; 75.4% white) from 10 universities throughout the U.S. who reported using cannabis in the past month to complete an online survey. Measures included in the survey assessed cannabis use, cannabis-related consequences, cannabis protective behavioral strategies use, and 35 risk/protective factors (includ

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Maksimov, S. A., Mikhail Kurakin, Natalya Kostina, and M. B. Kotova. "ASSESSMENT OF BEHAVIORAL RISK FACTORS AS A WAY OF DESIGNING NEW PRODUCTS OF SPECIALIZED NUTRITION." In I International Congress “The Latest Achievements of Medicine, Healthcare, and Health-Saving Technologies”. Kemerovo State University, 2023. http://dx.doi.org/10.21603/-i-ic-79.

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The aspects of designing new products are considered. The relevance of socio-demographic data of the consumer is noted. A developed questionnaire consisting of 10 modules is proposed to obtain data on behavioral risk factors of students of a higher educational institution. The survey will allow a comprehensive assessment of the contextual impact on students of environmental conditions and their individual eating patterns and habits.

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Kong, Ivan, and Masooda Bashir. "A Closer Look at Insider Threat Research." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002198.

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Insider threats are a danger to organizations everywhere and no organization is immune to the effects of an insider incident. Organizations suffer from individuals whose actions expose the organization to risk or harm in some ways. This situation includes insiders who intentionally or unintentionally cause actions that bring harm or significantly increases risk to the organization. Insider security breaches have been identified by organizations as a pressing problem with no simple solution. This paper presents a systematic literature review of published, scholarly articles on insider threat re

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Bialorudzki, Maciej, Arkadiusz Nowak, Joanna Mazur, Alicja Kozakiewicz, and Zbigniew Izdebski. "Willingness to Test for HIV among the Population of Adults in Relation to their Sexual Activity and Opinions." In XIV Congresso da Sociedade Brasileira de DST - X Congresso Brasileiro de AIDS - V Congresso Latino Americano IST/HIV/AIDS. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/dst-2177-8264-202335s1019.

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Introduction: Surveys concerning sexual life were conducted in Poland five times between 1997–2017. Within that period, the proportion of respondents who declared oral and anal contacts grew significantly. The decreasing proportion of people who consider having an HIV blood test (dropped by 6% from 2011 to 2017) was alarming. Objective: To identify the main factors related to willingness to test for HIV. Methods: The data pertain to 1,746 persons aged 18–49 years, surveyed in 2017 (49.1% males, average age 31.8±9.7). Twenty socio-demographic and behavioral independent variables were considered

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Lambrecht, Franz, and Carsten Sommer. "SafeBike - a road safety programme for young adolescent cyclists." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002428.

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In 2019, approximately 29,000 children (up to 15 years of age) were involved in road traffic accidents in Germany. The cohorts with the most accident victims are the 11- to 14-year-olds, about half of whom (approx. 6,000 children) were involved in accidents by bicycle. The number of cyclists involved in accidents rises sharply after the transition from primary to secondary school. This is due to a change in driving behavior after the change of school compared to the primary school period. Many pupils start cycling to school after changing to secondary school. Furthermore, extensive behavioral

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Dias, Lucas Pfeiffer Salomão, and Jorge Luis Victória Barbosa. "Cuidado Ubíquo de Pacientes com Doenças Crônicas Através de um Modelo de Análise do Comportamento Humano." In Proceedings of the Brazilian Symposium on Multimedia and the Web. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/webmedia.2024.243010.

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Chronic diseases are among 7 out of the 10 leading causes of death worldwide. The main chronic diseases are heart disease, cancer, chronic respiratory diseases, and diabetes. Heart disease alone causes 9 million deaths a year. Lifestyle changes can prevent many chronic diseases’ deaths and their risk factors. In addition, machine learning and wearable devices have been used for behavior analysis. Therefore, this research proposes B-Track, a computational model for assistance in chronic diseases care through the analysis of behaviors that attenuate or worsen the risk factors associated with chr

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El-Shamouty, Basma, Samuel Osisanya, Md Motiur Rahman, Bisweswar Ghosh, Mark De Athe, and Bekheet Al Jasmi. "An Engineer's Systematic Approach to Achieving Superior Safety Performances on Drilling Rigs." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213263-ms.

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Abstract Safety on the rig floor must be addressed habitually to avoid tragic fatalities and environmental crises. The objectives of this study were: (1) creating an engineer's system approach named "" to achieve a superior drilling rig safety performance by changing the Health Safety and Environment (HSE) culture and worksite behavior, (2) ensuring proper engagement and commitment of the workforce from the top to the bottom of the hierarchy and (3) to provide a tool that can be utilized on any rig floor. This tool assists in evaluating the risk from three different perspectives: People, Equip

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Dias, Lucas Pfeiffer Salomão, and Jorge Luis Victória Barbosa. "B-Track: A model for assisting in non-communicable diseases through human behavior analysis." In Anais Estendidos do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação (SBC), 2025. https://doi.org/10.5753/sbcas_estendido.2025.6564.

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Chronic diseases are among 7 out of the 10 leading causes of death worldwide. The main chronic diseases are heart disease, cancer, chronic respiratory diseases, and diabetes. Heart disease alone causes 9 million deaths a year. Lifestyle changes can prevent many chronic diseases’ deaths and their risk factors. In addition, machine learning and wearable devices have been used for behavior analysis. Therefore, this research proposes B-Track, a computational model for assistance in chronic disease care through analyzing behaviors that attenuate or worsen the risk factors associated with chronic di

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Mugharbil, Mohammed, and Mohammed Al Khunaizi. "Significance of Smart and Integration System Solutions in Maintaining Well Integrity." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204574-ms.

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Abstract Well integrity is one of the most critical elements for extending the producible life of a well. A healthy well enables optimization of productivity, enhanced oil recovery, trial tests of new technologies, and much more. Factors such as external corrosive aquifers, internal corrosion, corrosive hydrocarbons, cement bond damage, solids and sand production, and others are considered the main integrity dangers worldwide. When well integrity is affected, not only economic risks but also risks to health, environment and safety are probable. Well integrity is an objective achieved by optimu

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Sotelo, Melissa, Dylan Richards, Matthew Pearson, and Protective Strategies Study Team. "Self-Reported Symptoms of Cannabis Use Disorder (SRSCUD): Psychometric Testing and Validation." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.16.

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Findings from national surveys demonstrate that cannabis use peaks in young adulthood and that the annual prevalence of marijuana use among young adults (34.0%) is the highest it has been in decades (Johnston et al., 2016). We developed a 13 item measure designed to characterize the 11 symptoms of CUD as described in the DSM 5 (APA, 2013). To evaluate the performance of this Self Reported Symptoms of Cannabis Use Disorder (SRSCUD) measure, we examined its associations with other measures of CUD symptoms, negative cannabis related consequences, and other known risk factors for CUD (i.e., coping

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Reports on the topic "Behavioral Risk Factors Surveys"

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Agüero, Jorge M., and Verónica Frisancho. Systematic Bias in Sensitive Health Behaviors and Its Impact on Treatment Effects: An Application to Violence against Women. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0007031.

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Violence against women takes place mainly in the private sphere and isperpetrated by people close to the victim. These features can introduce large biases into its reporting in specialized surveys as well as to the authorities. We test for the existence of measurement error in the reporting of such violence using experimental methods in Peru, a country with several specialized surveys but one lacking reliable administrative data. We ask women to report past experiences of violent acts by randomly assigning them one of two questionnaires, one that replicates current surveys and another that rel

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-. STEPS: prevalence of noncommunicable disease risk factors in Ukraine. Public Health Center of the Ministry of Health of Ukraine, 2020. https://doi.org/10.63263/ncd000001.

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In Ukraine, as in other countries, noncommunicable diseases (NCDs) remain the principal cause of morbidity, disability and premature mortality. The most effective way to reduce the NCD burden is to prevent NCD development, by addressing the behavioural risk factors underlying NCDs at the population and individual levels: smoking, alcohol use, excessive salt intake, low physical activity, overweight and obesity, and unhealthy diets. In Ukraine, a national survey of the prevalence of major NCD risk factors, aligned with the WHO-endorsed STEPwise approach to surveillance (STEPS) methodology, was

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Lichtenberg, Frank. The Quality of Medical Care, Behavioral Risk Factors, and Longevity Growth. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15068.

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Brittain, Stuart. PPR2024 - Calculation of Local Equilibrium Correction Factors for the 2022 Skid Resistance Surveys. TRL, 2024. http://dx.doi.org/10.58446/rhnm7278.

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National Highways manages skid resistance on their network by carrying out single annual skid resistance surveys. This data is used to identify sites where there is a need for an investigation to identify if a resurfacing treatment would help mitigate the risk of skidding collisions. This data also feeds into the KPI for Pavement Condition. This document discusses the calculation of the correction factors to seasonally correct the 2022 surveys.

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Kolencik, Marian. A critical evaluation of the risk indicators of criminal conduct involving CBRN and explosive materials - Behavioural and observational analysis in crime detection and investigation. ISEM Institute, n.p.o., 2023. http://dx.doi.org/10.52824/vzrb5079.

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Terrorist attacks using explosives and CBRN (Chemical, Biological, Radiological and Nuclear) materials have been present throughout history. While the frequency of CBRN terrorist attacks is relatively low compared to those with explosives and other types of weapons, it is crucial to treat the efforts of both terrorist organizations and individuals with appropriate gravity in order to avert catastrophic consequences. Identifying warning signs that indicate criminal behaviour is crucial for preventing planned crimes or terrorist attacks, and there is a need for more precise coverage of potential

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Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

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Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and s

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Olson, Hannah, Madeleine Haas, and Megan L. Kavanaugh. State-Level Contraceptive Use and Preferences: Estimates from the US 2022 Behavioral Risk Factor Surveillance System. Guttmacher Institute, 2024. http://dx.doi.org/10.1363/2024.300488.

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Contraception plays a key role in people’s realization of their sexual and reproductive health and well-being. The factors that shape contraceptive behaviors are complex and dynamic, and there is growing recognition among reproductive health service providers and advocates that contraceptive service delivery must prioritize patients’ values and preferences to help them exercise their reproductive autonomy.1 Similarly, research and public health surveillance systems that measure not only contraceptive use and method selection but also contraceptive preferences are best suited to evaluate servic

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Gao, Hui, Chen Gong, Shi-chun Shen, et al. A systematic review on the associations between prenatal phthalate exposure and childhood glycolipid metabolism and blood pressure: evidence from epidemiological studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0111.

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Review question / Objective: The present systematic review was performed to obtain a summary of epidemiological evidence on the relationships of in utero exposure to phthalates with childhood glycolipid metabolism and blood pressure. Condition being studied: Childhood cardiovascular risk factors including blood pressure, lipid profile (e.g., triglycerides, total cholesterol, HDL−C, LDL−C) and glucose metabolism (e.g., insulin, insulin resistance, insulin sensitivity, glucose) were the interested outcomes. Eligibility criteria: In brief, epidemiological studies including cohort study, case-cont

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Axenrot, Thomas, Erik Degerman, and Anders Asp. Seasonal variation in thermal habitat volume for cold-water fish populations : implications for hydroacoustic survey design and stock assessment. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.5i05rb1iu1.

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For accurate stock assessment, survey design must consider fish behavior and ecology. Yearlings and older individuals of the commercially exploited cold-water species vendace (Coregonus albula) are found below the metalimnion through periods of thermal stratification. These stratification periods generally last for 3-4 months, from the middle of summer to early autumn. In lakes with heterogeneous distribution of depths, the habitat volume for vendace vary drastically within and across years, which affects the distribution and population densities. Variable thermal habitat volumes, with food an

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Orlando, María Beatriz, and Molly Pollack. Microenterprises and Poverty: Evidence from Latin America. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0008864.

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This study assesses poverty in the microenterprise sector in Latin America, presenting stylized facts on potential poverty risk factors at the household and individual levels. The goal of the paper is to describe the main trends in the region and the scope of the paper is limited to a descriptive analysis of poverty risk factors based on the nature of the data set (household surveys). Therefore, the study does not explore the causes of poverty in the MIC sector or the factors that determine whether an individual works in a microenterprise. The end result is a comparison of poverty rates in the

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