• Title/Summary/Keyword: Behavior model

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Structural Equation Model for Health Promotion Behavior and Health Status on Child Care Teachers (보육교사의 건강증진행위와 건강상태간의 구조모형)

  • Lee, Young-Ran;Park, Sun-Nam;Lee, Mi-Ran
    • Journal of Korean Public Health Nursing
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    • v.34 no.1
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    • pp.99-111
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    • 2020
  • Purpose: This study was conducted to verify model for predicting health promotion behavior and the health status of child care teachers based on Pender's health promotion model and Dahlgren and Whitehead's health determinants model. Methods: The data was collected from January to February 2018 from 205 child care teachers in day care centers in Seoul. Results: This model was suitable to explain the health status and health promotion behavior of child care teachers. In this study, health promotion behavior had the most direct affect on the health status of child care teachers. Health promotion behavior was directly affected by social support, self-efficacy, and depression. Job stress had an indirect affect on health promotion behavior. Conclusion: Considering the factors identified in this study that influence the health promotion behavior of child care teachers, we propose the development of interventions to improve the health status of child care teachers.

Health Blief Model-based intervention to improve nutritional behavior among elderly women

  • Iranagh, Jamileh Amirzadeh;Rahman, Hejar Abdul;Motalebi, Seyedeh Ameneh
    • Nutrition Research and Practice
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    • v.10 no.3
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    • pp.352-358
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    • 2016
  • BACKGROUND/OBJECTIVES: Nutrition is a determinant factor of health in elderly people. Independent living in elderly people can be maintained or enhanced by improvement of nutritional behavior. Hence, the present study was conducted to determine the impact of Health Belief Model (HBM)-based intervention on the nutritional behavior of elderly women. SUBJECTS/METHODS: Cluster-random sampling was used to assess the sample of this clinical trial study. The participants of this study attended a 12-week nutrition education program consisting of two (2) sessions per week. There was also a follow-up for another three (3) months. Smart PLS 3.5 and SPSS 19 were used for structural equation modeling, determination of model fitness, and hypotheses testing. RESULTS: The findings indicate that intervention had a significant effect on knowledge improvement as well as the behavior of elderly women. The model explained 5 to 70% of the variance in nutritional behavior. In addition, nutritional behavior was positively affected by the HBM constructs comprised of perceived susceptibility, self-efficacy, perceived benefits, and barriers after the intervention program. CONCLUSION: The results of this study show that HBM-based educational intervention has a significant effect in improving nutritional knowledge and behavior among elderly women.

Structural Analysis of Variables related to Fall Prevention Behavior of Registered Nurses in Small-to-Medium Sized Hospitals (중소병원 간호사의 낙상예방행위와 관련 변인 간의 구조 분석)

  • Park, Ji Hyun;Son, Jung Tae
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.25 no.4
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    • pp.269-281
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    • 2018
  • Purpose: The purpose of this study was to build a model to predict the fall prevention behavior of nurses in small and medium sized hospitals. Methods: Participants were 382 nurses from 13 hospitals who responded to the structured self-reported questionnaire. The research model was based on previous study of fall prevention, theory of planned behavior, and the health belief model. Results: The modified model generally showed higher levels than recommended level of model fit indices and acceptable explanation. Of 17 hypothetical paths, 14 were supported. Predicting variables explained 51.6% of fall prevention behavior. The fall prevention behavior of nurses showed a direct influence of fall prevention expectations, fall prevent threats, perceived behavioral control for fall prevention, and intention to prevent falls and an indirect of influence of patient safety culture, attitude toward fall prevention, and the subjective norm. Conclusion: Findings show a need to identify a range of barrier factors to increase the benefits of fall prevention behavior and enhance the perceived control of fall prevention so that nurses will be able to promote fall prevention behavior in hospitals. Also, it is critical to increase awareness of patient safety culture among nurses.

Macro-Model of Magnetic Tunnel Junction for STT-MRAM including Dynamic Behavior

  • Kim, Kyungmin;Yoo, Changsik
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.6
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    • pp.728-732
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    • 2014
  • Macro-model of magnetic tunnel junction (MTJ) for spin transfer torque magnetic random access memory (STT-MRAM) has been developed. The macro-model can describe the dynamic behavior such as the state change of MTJ as a function of the pulse width of driving current and voltage. The statistical behavior has been included in the model to represent the variation of the MTJ characteristic due to process variation. The macro-model has been developed in Verilog-A.

Simple and Accurate Analytical Model for Predicting Cyclic Behavior of Rectangular Steel HSS Braces (간략하고 정확한 장방형 각형강관 가새부재 이력거동 예측 위한 해석모델)

  • Han, Sang Whan;Sung, Min Soo;Mah, Dongjun
    • Journal of the Earthquake Engineering Society of Korea
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    • v.21 no.3
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    • pp.145-152
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    • 2017
  • The objective of this study is to propose a simple and accurate analytical model for HSS braces. For this purpose, a physical theory model is adopted. Rectangular hollow section steel (HSS) braces are considered in this study. To accurately simulate the cyclic behavior of braces using the physical theory model, empirical equations calculating constituent parameters are implemented on the analytical model, which were proposed in the companion paper. The constituent parameters are cyclic brace growth, cyclic buckling load, and the incidence of local buckling and fracture. The analytical model proposed in this study was verified by comparing actual and simulated cyclic curves of brace specimens. It is observed that the proposed model accurately simulates the cyclic behavior of the braces throughout whole response range.

Motivation Dynamics : System Dynamics Approach for Analyzing Dynamic Motivation Model Using VENSIM (모티베이션 다이내믹스 : VENSIM을 이용한 성취동기모형의 시스템 다이내믹스 분석)

  • 손태원;정한규
    • Korean System Dynamics Review
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    • v.1 no.1
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    • pp.57-79
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    • 2000
  • Most model constructs in organization studies are descriptive in nature, and the conclusions relating to the model behavior over time are speculative. The usefulness of System Dynamics as a methodology for modeling and testing dynamic behavioral hypotheses in organizational behavioral studies is presented, and how to construct a System Dynamics model using simulation software(VENSIM) is shown, The well-know March and Simon motivation model is used to demonstrate the step by step application of System Dynamics to model of this type. The dynamic behavior of the model, both transient and steady state, is obtained, Even though the paper has focused on one model in the area of individual behavior, the approach is general and can be applied to other areas of organizational behavior as will. The usefulness of System Dynamics as a methodology for theory building is identified as well.

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A Prediction Model on Korean Medicine Health Promotion Behavior in Late Adulthood-Elderly (국내 수도권 중·노년층의 한방건강증진행위 예측모형)

  • Kim, Soo-Kyung;Choi, Hyung-Wook;Woo, Won-Hong
    • Journal of Society of Preventive Korean Medicine
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    • v.19 no.2
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    • pp.1-12
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    • 2015
  • Objective : This study was a covariance structural analysis to identify korean medicine health promotion behavior by the general characteristics of the subjects and build a predictive model and theoretical framework based on Pender's health promotion model(1996) and related literature reviews. Method : A hypothetical model was consisted of 8 theoretical variables and 27 measured variables. Related variables included Individual Characteristics and Experience, Behavior-specific cognitions and affect and Behavioral outcome. The data was collected from 802 middle and old-aged people living in Seoul and Gyeong gi province through structured questionnaires by face to face interviews between February and March, 2014. SAS ver. 9.1 and AMOS 18.0 programs were used for the data analysis. Results : Difference in the verification of Korean medicine health promotion behavior by the general characteristics, Older people who are male, with higher economic status, no chronic disease or with diabetes, no smoking, no drinking, with more exercise showed significantly higher scores, but education level has no difference. 15 paths were statistically significant among 16 paths on the direct effect, 6 paths were statistically significant among 9 paths on the indirect effect in the hypothetical model. The greatest impact variable on Korean medicine health promotion behavior was perceived self-esteem. Also, the findings showed that the higher perceived social support, perceived health status, previous Korean medicine health promotion behavior, community environment, perceived benefit and the lower perceived barrier had a significant effect on Korean medicine health promotion behavior. Conclusion : This research model has an empirical validity as the variables of this study verified their effects and significances. Therefore, the understanding of Korean medicine health promotion behavior can be increased and the utilization will be higher when seeking a comprehensive health promotion plan. Also, a strategy can be utilized the strategy for Korean medicine health promotion behavior.

Estimating the Behavior Path of Seafarer Involved in Marine Accidents by Hidden Markov Model (은닉 마르코프 모델을 이용한 해양사고에 개입된 선원의 행동경로 추정)

  • Yim, Jeong-Bin
    • Journal of Navigation and Port Research
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    • v.43 no.3
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    • pp.160-165
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    • 2019
  • The conduct of seafarer is major cause of marine accidents. This study models the behavior of the seafarer based on the Hidden Markov Model (HMM). Additionally, through the path analysis of the behavior estimated by the model, the kind of situations, procedures and errors that may have caused the marine accidents were interpreted. To successfully implement the model, the seafarer behaviors were observed by means of the summarized verdict reports issued by the Korean Maritime Safety Tribunal, and the observed results converted into behavior data suitable for HMM learning through the behavior classification framework based on the SRKBB (Skill-, Rule-, and Knowledge-Based Behavior). As a result of modeling the seafarer behaviors by the type of vessels, it was established that there was a difference between the models, and the possibility of identifying the preferred path of the seafarer behaviors. Through these results, it is expected that the model implementation technique proposed in this study can be applied to the prediction of the behavior of the seafarer as well as contribute to the prioritization of the behavior correction among seafarers, which is necessary for the prevention of marine accidents.

FE analysis of RC structures using DSC model with yield surfaces for tension and compression

  • Akhaveissy, A.H.;Desai, C.S.;Mostofinejad, D.;Vafai, A.
    • Computers and Concrete
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    • v.11 no.2
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    • pp.123-148
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    • 2013
  • The nonlinear finite element method with eight noded isoparametric quadrilateral element for concrete and two noded element for reinforcement is used for the prediction of the behavior of reinforcement concrete structures. The disturbed state concept (DSC) including the hierarchical single surface (HISS) plasticity model with associated flow rule with modifications is used to characterize the constitutive behavior of concrete both in compression and in tension which is named DSC/HISS-CT. The HISS model is applied to shows the plastic behavior of concrete, and DSC for microcracking, fracture and softening simulations of concrete. It should be noted that the DSC expresses the behavior of a material element as a mixture of two interacting components and can include both softening and stiffening, while the classical damage approach assumes that cracks (damage) induced in a material treated acts as a void, with no strength. The DSC/HISS-CT is a unified model with different mechanism, which expresses the observed behavior in terms of interacting behavior of components; thus the mechanism in the DSC is much different than that of the damage model, which is based on physical cracks which has no strength and interaction with the undamaged part. This is the first time the DSC/HISS-CT model, with the capacity to account for both compression and tension yields, is applied for concrete materials. The DSC model allows also for the characterization of non-associative behavior through the use of disturbance. Elastic perfectly plastic behavior is assumed for modeling of steel reinforcement. The DSC model is validated at two levels: (1) specimen and (2) practical boundary value problem. For the specimen level, the predictions are obtained by the integration of the incremental constitutive relations. The FE procedure with DSC/HISS-CT model is used to obtain predictions for practical boundary value problems. Based on the comparisons between DSC/HISS-CT predictions, test data and ANSYS software predictions, it is found that the model provides highly satisfactory predictions. The model allows computation of microcracking during deformation leading to the fracture and failure; in the model, the critical disturbance, Dc, identifies fracture and failure.

The Structural Relationships among Information Security Threat Factors and Information Protection Behavior of the FinTech Services: Focus on Theoretical Perspectives of Technology Threat Avoidance and Health Protective Behaviors (핀테크(FinTech) 서비스의 정보보안 위협요인과 개인정보보호행위와의 구조적 관계에 관한 연구: 기술위협회피와 건강행동이론 관점에서)

  • Bae, Jae Kwon
    • The Journal of Information Systems
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    • v.26 no.3
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    • pp.313-337
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    • 2017
  • Purpose Financial technology, also known as FinTech, is conceptually defined as a new type of financial service which is combined with information technology and other traditional financial services like payments, investments, financing, insurance, asset management and so on. Most of the studies on FinTech services have been conducted from the viewpoint of technical issues or legal and institutional studies, and few studies are conducted from the health belief perspectives and security behavior approaches. In this regard, this study suggest an extended information protection behavior model. Design/Methodology/Approach The Health Belief Model (HBM), the Protection Motivation Theory (PMT), and the Technology Threat Avoidance Theory (TTAT) were employed to identify constructs relevant to information protection behavior of FinTech services. A new extended information protection behavior model in which the influence factors of information protection behavior (i.e., perceived susceptibility, perceived severity, perceived benefits, perceived barriers, perceived self-efficacy, subjective norms) affect perceived threats and perceived responsiveness positively, leading to information protection behavior of FinTech users eventually. This study developed an extended information protection behavior model to explain the protection behavior intention in FinTech users and collected 272 survey responses from the mobile users who had experiences with such mobile payments and FinTech services. Findings The finding of this study suggests that the influence factors of information protection behavior affect perceived threats and perceived responsiveness positively, and information protection behavior of FinTech users as well.