Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana by Wenjun Li, Meng Zhang, Jie Cheng, Sandra L. Jackson, Adam S. Vaughan, Michael Klompas, Thomas W. Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari, Jeanie Donovan, Katherine H. Hohman

“…Results Weighted MENDS hypertension prevalence estimates were approximately 10% lower than crude MENDS estimates, and approximately 13% higher than hypertension awareness estimates from the 2021 Behavioral Risk Factor Surveillance System, with similar geographic and demographic patterns. …”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

“…Methods Utilizing cross-sectional survey data from the 2021 Behavioral Risk Factor Surveillance System (BRFSS) in the United States, a cohort of 112 606 participants was identified, featuring 24 variables related to risk behaviors and health status, with self-reported coronary heart disease (CHD) as the outcome measure. …”
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THE EFFECTS OF PERCEIVED RISK ON CONSUMER ATTITUDES, INTENTIONS AND BEHAVIOR REGARDING PORK PURCHASES IN HOCHIMINH CITY by Nguyễn Kim Nam, Ngô Quang Huân

“…Results indicate that attitudes have a positive effect on intentions, and intentions have a positive effect on behavior. Risk perception has a negative effect on intention and behavior. …”
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The Effect of Group Cognitive Behavior Therapy on Behavior Changes on Adolescents Risked at Drug Abuse based on Age Characteristics in Kabupaten Dharmasraya by Wisdia Lola Erwinda, Susmiati Susmiati, Heppi Sasmita

“…Keywords: Age Characteristics,  Adolescent Behavior Risked at Drug Abuse, Group Cognitive Behavior Therapy…”
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Maritime Pilots’ Risky Operational Behavior Analysis Based on Structural Equation Model by Tingliu Xu, Yingjie Xiao, Zhuohong Jiang

“…And a questionnaire survey was conducted, which included four scales: risk-taking behavior, risk attitude, operational reliability, and risk perception. …”
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Burden of psychiatric and somatic comorbidities in individuals with suicidal behavior: a nationwide Danish registry-based, observational study by Mette Reilev, Jens-Jakob Kjer Møller, Elsebeth Stenager, Erik Christiansen

“…This warrants collaboration and enhanced awareness of suicidal behavior risks across somatic and psychiatric departments. …”
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks by Maryam M. Kheirollahpour, Mahmoud M. Danaee, Amir Faisal A. F. Merican, Asma Ahmad A. A. Shariff

“…The importance of eating behavior risk factors in the primary prevention of obesity has been established. …”
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Creating a family health history interview protocol for use with undergraduate health professional students: A scoping review by Ronica N. Rooks, Cassandra D. Ford, Jenna Bennett, Tyrone Braxton

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Providing an Anti-Marketing Model to Prevent Criminal Behaviors in Online and Digital Businesses by Ghasem Zarei, Younes Nikkhah

“…With the advancement of the digital environment, unconventional channels have emerged, leading to various risks such as life, financial, and behavioral risks affecting individuals and businesses. …”
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The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES by Xinghong Guo, Mingze Ma, Lipei Zhao, Jian Wu, Yan Lin, Fengyi Fei, Clifford Silver Tarimo, Saiyi Wang, Jingyi Zhang, Xinya Cheng, Beizhu Ye

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Presenting a model to explain unfavorable risk and favorable risk according to psychological variables in predicting market fluctuations in the Iranian capital market. by Hasan Rezaeikangi, Mahdi Mohammad Bagheri, Hojat Babaei, Ali Raeispour Rajabali

“…The research components include: financing, marketing communications, information accuracy, bankruptcy financial indicators, bankruptcy non-financial indicators, political factors, interpretation of fluctuations, economic factors, factors related to the stock market, factors related to the company, brokerages, personality, optimistic behavior, over-trusting behavior, risk-averse behavior, emotional behavior, financial education, monitoring and evaluation, rules and regulations, economic added value, company value, individual satisfaction, and economic growth. …”
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