Predicting dietary management intention of patients with chronic kidney disease using protection motivation theory

This dataset originates from the study titled “Predicting dietary management intention of patients with chronic kidney disease using protection motivation theory”, which aims to explore the application of Protection Motivation Theory (PMT) in predicting the dietary management intentions of patients with Chronic Kidney Disease (CKD).

1. Research Background and Objective

Chronic Kidney Disease is a global health issue where effective dietary management plays a crucial role in delaying disease progression and enhancing patients' quality of life. This study leverages Protection Motivation Theory to analyze and predict the dietary management intentions of CKD patients, thereby providing theoretical support for developing effective health intervention strategies.

2. Dataset Details

Data Source: The data was collected through questionnaire surveys administered to CKD patients undergoing treatment at various hospitals and clinics.

Data Collection Method: Structured questionnaires were distributed and collected using both paper-based and online methods to ensure broad and representative data.

Data Type: The dataset is provided in Excel format and includes both quantitative and qualitative variables.

Variables Description:

Demographic Variables:

Age: Age of the participants.

Gender: Gender of the participants.

Education Level: Highest educational attainment of the participants.

Occupation: Occupational category of the participants.

Duration of CKD: Length of time since CKD diagnosis.

Protection Motivation Theory Constructs:

Perceived Severity: Participants' perception of the severity of CKD.

Perceived Vulnerability: Participants' perception of their personal risk of worsening CKD.

Response Efficacy: Belief in the effectiveness of dietary management in controlling CKD.

Self-Efficacy: Confidence in their ability to implement dietary management.

Response Cost: Perceived costs or barriers to implementing dietary management.

Dietary Management Intention: Level of intention to engage in dietary management in the future.

3. Dataset Usage and Applications

This dataset is suitable for the following research and applications:

Theoretical Research: Further validation and extension of Protection Motivation Theory in predicting health behaviors.

Health Interventions: Designing targeted dietary management interventions for CKD patients to enhance their implementation intentions and actual behaviors.

Machine Learning and Predictive Modeling: Developing predictive models to identify key factors influencing dietary management intentions.

Public Health Policy: Informing the creation of health policies aimed at supporting dietary management among CKD patients.

4. Data Quality and Limitations

Data Quality:

Data was collected through multiple channels to ensure diversity and representativeness of the sample.

Standardized questionnaires were used to minimize measurement errors and biases.

Limitations:

The sample primarily consists of patients from specific regions and medical institutions, which may introduce geographical bias and limit the generalizability of the findings.

Some variables contain missing values, which need to be addressed during analysis through methods such as data imputation or exclusion of incomplete records.

Self-reported questionnaire data may be subject to social desirability bias, potentially affecting the authenticity of the responses.

5. Related Resources and Links

Research Paper: For detailed research findings and analysis methods, please refer to our published paper: Predicting dietary management intention of patients with chronic kidney disease using protection motivation theory

Project Homepage: For more information and related resources, visit our project homepage: Project Link

6. Dataset Structure

File Format: Excel (.xlsx)

File Name: CKD_Dietary_Management_Intention_Dataset.xlsx

Worksheet Description:

Sheet1: Raw questionnaire response data

Sheet2: Variable descriptions and coding information

7. Data Access and Usage License

License: This dataset is licensed under CC BY 4.0, allowing for sharing and adaptation with appropriate attribution to the original authors.

Access Permissions: Public access, available for anyone to download and use for academic research and non-commercial purposes.