Risk Perception & Risk-Reduction Behavior Model for Blue-Collar Workers: Adapted From the Health Promotion Model

Exploring the determinants of health-promoting behaviors among miners: A text mining and meta-analysis

The health-promoting behaviors of miners are of great significance to their physical and mental well-being. With a focus on enhancing their overall health, this study aimed to explore the determinants and influencing mechanisms of health-promoting behaviors in miners. Initially, the latent Dirichlet allocation (LDA) model was utilized to extract topical keywords from literature over the last 23 years and to categorize the determinants based on integrating the health promotion model and the health belief model. Subsequently, a meta-analysis was performed based on 51 related empirical research to explore the mechanisms between determinants and health-promoting behaviors. The results indicated that (1) the factors influencing miners' health-promoting behaviors can be divided into four dimensions: physical environment, psychosocial environment, individual characteristics, and health beliefs. (2) Noise was negatively related to health-promoting behaviors, while protective equipment, health culture, interpersonal relationships, health literacy, health attitudes, and income were positively related to health-promoting behaviors. (3) Protective equipment and health literacy were positively related to perceived threat, whereas interpersonal relationships were positively related to perceived benefits. This study sheds light on the mechanisms influencing miners' health-promoting behaviors and could inform behavioral interventions in occupational health.

Clinical Significance of Protective Motivation Intervention Nursing on Functional Recovery of Patients after Hip Arthroplasty

Objective

To explore the clinical significance of protective motivation intervention nursing on functional recovery of patients after hip arthroplasty.

Methods

Sixty patients after hip arthroplasty treated in our hospital from February 2019 to April 2021 were selected. The patients were randomly divided into the control group and the research group. The routine nursing mode was adopted in the control group, and the protective motivation intervention nursing mode was adopted in the research group. Nursing satisfaction, FIM score, Harris hip function score, WOMAC score, Barthel index score, and quality of life score were compared between the two groups.

Results

The nursing satisfaction of the research group was higher than that of the control group, and there are statistically significant differences between the groups (P < 0.05). The FIM scores of the research group at discharge and 1 month, 3 months, and 6 months after discharge were significantly higher than those in the control group. The Harris hip function score of the research group was significantly higher than that of the control group at discharge and 1 month, 3 months, and 6 months after discharge. The WOMAC scores of the research group at discharge and 1 month, 3 months, and 6 months after discharge were significantly lower than those in the control group, and the difference was statistically significant (P < 0.05). The scores of the Barthel index at discharge and 1 month, 3 months, and 6 months after discharge in the research group were significantly higher than those in the control group. The scores of physiological function, psychological function, social function, and health self-cognition in the research group were significantly lower than those in the control group, and the difference was statistically significant (P < 0.05).

Conclusion

The nursing model of protective motivation intervention for patients after hip arthroplasty can effectively improve the function of hip joint, improve the quality of life, promote the establishment of harmonious nurse-patient relationship, and play a positive role in improving the prognosis of patients.

A Comparison Between Self-Reported and Investigator-Measured Cardiovascular Risk-Related Biometric Numbers

The purpose of this study was to examine individuals' knowledge of cardiovascular risk-related biometric numbers and to compare self-reported and investigator-measured numbers in a convenience sample of adults in the Midwest region. Sociodemographic data and personal knowledge of cardiovascular risk-related biometric numbers were assessed using self-reported questionnaires. Investigators conducted health assessments to obtain biometric numbers. Among the 224 participants, participants' reported knowledge about their cardiovascular risk-related biometric numbers was low, especially for high-density lipoprotein and fasting blood glucose levels. Participants' knowledge was associated with education level and the recency of their last healthcare visit for health assessment. We found statistically significant mean differences between self-reported and investigator-measured blood pressure, and weight. This study found that there were discrepancies between self-reported and investigator-measured cardiovascular risk-related numbers. Future research is needed to develop educational interventions to improve personal knowledge of cardiovascular risks.