3-Self behavior modification programs base on the PROMISE Model for clients at metabolic risk

Area of Science:

• Health Behavior Modification
• Metabolic Syndrome Research
• Program Evaluation Models

Background:

• Metabolic syndrome poses a significant public health challenge.
• Effective health behavior modification programs are crucial for managing metabolic syndrome.
• The PROMISE and CIPP Models offer frameworks for program design and evaluation.

Purpose of the Study:

• To evaluate the effectiveness of a health behavior modification program (HBMP) based on the PROMISE and CIPP Models.
• To assess changes in 3-self health behaviors (self-efficacy, self-regulation, self-care) post-program.
• To analyze the impact of the HBMP on biomedical indicators associated with metabolic syndrome.

Main Methods:

• Mixed methods research design involving program leaders, commanders, and clients.
• Quantitative data collection through questionnaires and biomedical measurements from 4,649 volunteers.
• Statistical analysis using t-tests and path analysis to evaluate program impact.

Main Results:

• Program management factors within the PROMISE Model significantly influenced HBMP success, predicting 69% of the product.
• Participants demonstrated significant improvements in 3-self health behaviors after the program.
• Biomedical indicators, including BMI, blood pressure, and HbA1c, showed significant reductions post-program.

Conclusions:

• The HBMP, guided by the PROMISE Model, effectively enhanced self-care behaviors and improved metabolic health indicators.
• The PROMISE Model's components are key predictors of success in health behavior modification programs.
• This research provides evidence for the efficacy of structured programs in managing metabolic syndrome risk factors.