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Applying the information-motivation-behavioral model to explore the influencing factors of self-management behavior among osteoporosis patients.

ABSTRACT: BACKGROUND:The prevalence of osteoporosis (OP) is rapidly increasing. Healthy behaviors are crucial for the management of OP. Application of the information-motivation-behavioral skills (IMB) model has been verified in various chronic diseases, but this model has not been investigated for behavioral interventions among people with OP. This study aimed to examine factors influencing OP self-management behavior and their interaction paths based on the IMB model. METHODS:We conducted a cross-sectional study using a convenience sampling method in 20 community health service centers in Shanghai, China. Predictive relationships between IMB model variables and self-management behaviors were evaluated using an anonymous questionnaire. Structural equation modeling was used to test the IMB model. RESULTS:In total, 571 participants completed the questionnaire, of which 461 (80.7%) were female. Participants' mean age was 68.8?±?10.1?years. Only 101 (17.7%) participants were classified as having better OP self-management behaviors. The model demonstrated the data had an acceptable fit. Paths from information to self-efficacy (??=?0.156, P?

SUBMITTER: Tsamlag L

PROVIDER: S-EPMC7006415 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Applying the information-motivation-behavioral model to explore the influencing factors of self-management behavior among osteoporosis patients.

Tsamlag Lhakpa L Wang Huwen H Shen Qiuming Q Shi Yue Y Zhang Shuxian S Chang Ruijie R Liu Xiyu X Shen Tian T Cai Yong Y

BMC public health 20200206 1

<h4>Background</h4>The prevalence of osteoporosis (OP) is rapidly increasing. Healthy behaviors are crucial for the management of OP. Application of the information-motivation-behavioral skills (IMB) model has been verified in various chronic diseases, but this model has not been investigated for behavioral interventions among people with OP. This study aimed to examine factors influencing OP self-management behavior and their interaction paths based on the IMB model.<h4>Methods</h4>We conducted ...[more]

PMID: 32028930

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Project description:IntroductionExcessive gestational weight gain poses a significant threat to maternal and child health. The healthy behaviour theory has been increasingly applied to weight management during pregnancy, but research is still insufficient. The successful application of the protection motivation theory (PMT) and the information-motivation-behavioural skills (IMB) model in the field of healthy behaviour laid the foundation for this intervention study. The overall aim of this study is to test the effectiveness of interventions based on the behaviour model integrated with the PMT and IMB model (PMT-IMB model) on weight management and provide feasible methods for weight management during pregnancy.Methods and analysisThis prospective, single-centre, randomised controlled trial involves two steps. First, based on the PMT-IMB model, evaluation tools and intervention materials will be developed. Second, more than 800 women in the first trimester of pregnancy will be randomly assigned to two groups and will be followed until 1 week after delivery. The control group will receive standardised antenatal care (ANC), whereas the experimental group will receive both standardised ANC and interventions based on the PMT-IMB model. After three surveys (at enrolment, at 28 weeks of gestation, and on the day of hospitalisation for delivery), primary outcomes (scores of the subscales of the PMT-IMB model, scores of the pregnancy weight management strategy scale, and gestational weight gain) and secondary outcomes (pregnancy outcomes and pregnancy complications) will be obtained. Differences in outcomes between the two groups will be analysed to evaluate the effectiveness of the intervention.Ethics and disseminationThe study protocol has been approved by the ethics committee of Nanjing Medical University. All participants will sign an informed consent form prior to enrolment. The findings of the study will be published in peer-reviewed journals and presented at conferences.Trial registration numberChiCTR2100043231.

Project description:BackgroundMen who have sex with men (MSM) are at high risk for human immunodeficiency virus (HIV) infection in China. Correct and consistent condom use is one of the most effective strategies for preventing the spread of HIV. This study developed a modified Information-Motivation-Behavioral Skills (IMB) model to predict condom use behavior among Chinese MSM.MethodsA cross-sectional study was conducted to collect data using self-administered electronic questionnaire. Participants were recruited from HIV Voluntary Counseling and Testing clinics in six district Centers for Disease Control and Prevention in Guangzhou and two community-based HIV service centers (Lingnan Partners and Zhitong Charity) from May to September 2017. Structural equation modeling was performed to develop the modified IMB model with extended multilevel factors.ResultsAmong the 976 MSM included, 52.05% had engaged in anal intercourse with a condom every time. The final modified IMB model fitted the data more ideally than the conventional model. The final modified IMB model revealed that behavioral skills positively contributed directly to condom use (β = 0.385, p < 0.001) and partially mediated the associations between information (β = 0.106, p = 0.005) and motivation (β = 0.390, p < 0.001) and condom use. Regarding the extended multilevel factors, education, income, receiving HIV prevention services, sexual partner seeking behavior, depression, intimate partner violence, and child sexual abuse had indirect impacts on condom use that were mediated by information, motivation, and/or behavioral skills (p < 0.05). All paths from the latent variable to the corresponding observed variables were statistically significant (p < 0.001).ConclusionThe modified IMB model with extended multilevel factors could serve as a theoretical framework for behavioral interventions for condom use among Chinese MSM. Further prospective studies are needed to examine the predictive power of the modified IMB model.

Project description:Sonification is an open-ended design task to construct sound informing a listener of data. Understanding application context is critical for shaping design requirements for data translation into sound. Sonification requires methodology to maintain reproducibility when data sources exhibit non-linear properties of self-organization and emergent behavior. This research formalizes interactive sonification in an extensible model to support reproducibility when data exhibits emergent behavior. In the absence of sonification theory, extensibility demonstrates relevant methods across case studies. The interactive sonification framework foregrounds three factors: reproducible system implementation for generating sonification; interactive mechanisms enhancing a listener's multisensory observations; and reproducible data from models that characterize emergent behavior. Supramodal attention research suggests interactive exploration with auditory feedback can generate context for recognizing irregular patterns and transient dynamics. The sonification framework provides circular causality as a signal pathway for modeling a listener interacting with emergent behavior. The extensible sonification model adopts a data acquisition pathway to formalize functional symmetry across three subsystems: Experimental Data Source, Sound Generation, and Guided Exploration. To differentiate time criticality and dimensionality of emerging dynamics, tuning functions are applied between subsystems to maintain scale and symmetry of concurrent processes and temporal dynamics. Tuning functions accommodate sonification design strategies that yield order parameter values to render emerging patterns discoverable as well as rehearsable, to reproduce desired instances for clinical listeners. Case studies are implemented with two computational models, Chua's circuit and Swarm Chemistry social agent simulation, generating data in real-time that exhibits emergent behavior. Heuristic Listening is introduced as an informal model of a listener's clinical attention to data sonification through multisensory interaction in a context of structured inquiry. Three methods are introduced to assess the proposed sonification framework: Listening Scenario classification, data flow Attunement, and Sonification Design Patterns to classify sound control. Case study implementations are assessed against these methods comparing levels of abstraction between experimental data and sound generation. Outcomes demonstrate the framework performance as a reference model for representing experimental implementations, also for identifying common sonification structures having different experimental implementations, identifying common functions implemented in different subsystems, and comparing impact of affordances across multiple implementations of listening scenarios.

Project description:Depending on the patients' genotype, the same drug may have different efficacies or side effects. With the cost of genomic analysis decreasing and reliability of analysis methods improving, vast amount of genomic information has been made available. Several studies in pharmacology have been based on genomic information to select the optimal drug, determine the dose, predict efficacy, and prevent side effects. This paper reviews the tissue specificity and genomic information of cancer. If the tissue specificity of cancer is low, cancer is induced in various organs based on a single gene mutation. Basket trials can be performed for carcinomas with low tissue specificity, confirming the efficacy of one drug for a single gene mutation in various carcinomas. Conversely, if the tissue specificity of cancer is high, cancer is induced in only one organ based on a single gene mutation. An umbrella trial can be performed for carcinomas with a high tissue specificity. Some drugs are effective for patients with a specific genotype. A companion diagnostic strategy that prescribes a specific drug for patients selected with a specific genotype is also reviewed. Genomic information is used in pharmacometrics to identify the relationship among pharmacokinetics, pharmacodynamics, and biomarkers of disease treatment effects. Utilizing genomic information, sophisticated clinical trials can be designed that will be better suited to the patients of specific genotypes. Genomic information also provides prospects for innovative drug development. Through proper genomic information management, factors relating to drug response and effects can be determined by selecting the appropriate data for analysis and by understanding the structure of the data. Selecting pre-processing and appropriate machine-learning libraries for use as machine-learning input features is also necessary. Professional curation of the output result is also required. Personalized medicine can be realized using a genome-based customized clinical trial design.

Project description:BackgroundChildren's injuries from traffic accidents have been identified as a global public health issue. Child restraint system (CRS) is a useful tool for lowering the risk of injury to children. Nevertheless, CRS usage is really low in China. The goal of the current study was to investigate the use of CRS after the legislation revised in China and to explore the influencing factors based on Information, Motivation, and Behavioral Skills model (IMB).MethodsThe study is a cross-sectional survey of parents who took their 0 to 6-year-old children for seeking primary care services at the Children Preventive Health Care Clinic of a tertiary hospital in Shandong Province, China. Parents were invited to complete the self-administered questionnaire between March and June 2022, including their knowledge, motivation, and behavioral skills, use behavior of CRS and socio-demographics. Ordinal logistic regression was used to explore the factors associated with CRS use by using SPSS software (version 26.0).ResultsIn total, 442 parents participated in the study; 56.1% (n = 201) of the parents utilized CRS for their child passengers, however only 29.0% used CRS frequently. The result of logistic regression analysis show that parents with junior college (OR = 0.398, 95%CI: 0.185 ~ 0.857), possessing a high family economic status(OR = 0.225, 95%CI: 0.088 ~ 0.578), being trained on children's unintentional injuries(OR = 0.435,95%CI: 0.272 ~ 0.695), and having high scores on CRS riding mode cognition(OR = 0.476, 95%CI: 0.368 ~ 0.616), CRS type cognition(OR = 0.519, 95%CI: 0.392 ~ 0.689), CRS use motivation(OR = 0.392, 95%CI: 0.295 ~ 0.520) and installation skills(OR = 0.559, 95%CI:0.411 ~ 0.761) were the main factors promoting the usage of CRS.ConclusionsThis study found that the use of CRS can be increased by improving parents' knowledge, motivation and behavior skills and hence related educational programs is necessary for increasing CRS use in China.

Dataset Information

Applying the information-motivation-behavioral model to explore the influencing factors of self-management behavior among osteoporosis patients.

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Applying the information-motivation-behavioral model to explore the influencing factors of self-management behavior among osteoporosis patients.

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