Health-promoting behaviors among American and Lebanese nursing students

Health-Promoting Lifestyle and Its Predictors in Renal Transplant Recipients in Hunan, China: A Cross-Sectional Study

Background

Kidney transplantation is a critical treatment for end-stage renal disease (ESRD), with health-promoting lifestyle (HPL) significantly impacting patient outcomes. HPL involves behaviors like regular exercise, balanced nutrition, stress management, and habit modification. However, few studies have analyzed the HPL of renal transplant recipients, addressing a significant gap in current research.

Objective

This study aimed to determine the predictors of HPL in renal transplant recipients using the Chinese Health Promoting Lifestyle Profile (HPLP).

Methods

This cross-sectional study enrolled renal transplant recipients completing the revised Chinese HPLP at organ transplant center in a tertiary hospital in Hunan Province of China between May 2022 and July 2022.

Results

A total of 450 patients were included, comprising 256 males (56.9%), with a mean age of 44.85 ± 10.57 years. The mean score of self-actualization, health responsibility, interpersonal support, physical activity, stress management, nutrition, and overall HPLP were 15.27 ± 5.03 (possible range: 0-24), 11.41 ± 4.18 (possible range: 0-24), 11.61 ± 3.13 (possible range: 0-18), 7.53 ± 3.79 (possible range: 0-18), 12.68 ± 3.61 (possible range: 0-21), 11.17 ± 2.41 (possible range: 0-15), and 69.66 ± 16.98 (possible range: 0-120), respectively. Multivariate logistic regression analysis showed that urban residence (OR = 2.061, 95% CI: 1.350-3.148, P = 0.001), non-smoking after transplantation (OR = 2.010, 95% CI: 1.123-3.600, P = 0.019) and two post-transplant complications (OR=0.387, 95% CI: 0.218-0.689, P = 0.001).

Conclusion

Although renal transplant recipients exhibit a moderate level of HPL, targeted interventions are essential to improve these behaviors. These interventions should focus especially on individuals from rural households, post-transplant smokers, and those experiencing post-transplant complications, to enhance their quality of life and clinical outcomes.

Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images

Cerebral microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts, which is an exhaustive task with limited productivity. Since CMBs have complex morphological nature, manual detection is prone to errors. This paper presents a machine learning-based automated CMB detection technique in the brain susceptibility-weighted imaging (SWI) scans based on statistical feature extraction and classification. The proposed method consists of three steps: (1) removal of the skull and extraction of the brain; (2) thresholding for the extraction of initial candidates; and (3) extracting features and applying classification models such as random forest and naïve Bayes classifiers for the detection of true positive CMBs. The proposed technique is validated on a dataset consisting of 20 subjects. The dataset is divided into training data that consist of 14 subjects with 104 microbleeds and testing data that consist of 6 subjects with 63 microbleeds. We were able to achieve 85.7% sensitivity using the random forest classifier with 4.2 false positives per CMB, and the naïve Bayes classifier achieved 90.5% sensitivity with 5.5 false positives per CMB. The proposed technique outperformed many state-of-the-art methods proposed in previous studies.

Identifying health research in the era of COVID-19: A scoping review

Background

Health improvements are considered one of the most important fields of research. Since the coronavirus disease 2019 was declared a pandemic, it might have impacted clinical and public health research in various forms.

Objectives

The goal of this study is to explore health research approaches in the era of coronavirus disease 2019.

Methods

In this scoping review, we reviewed published medical full-text studies and identified potential areas of interest of health research in the era the coronavirus disease 2019 pandemic during the last 3 years within a higher educational setting. A bibliometric analysis was used to compare among published works.

Results

Among the 93 studies that met the inclusion criteria, most focused on mental health (n = 23; 24.7%). Twenty-one publications targeted coronavirus disease 2019 and its consequences on general health. Other studies have described hemato-oncological, cardiovascular, respiratory, and endocrinological diseases. 42 studies were cross-sectional or cohort studies and most of them published in Q1 journals. Almost half of them belonged to the Faculty of Medicine (49.5%) followed by the School of Arts, Sciences, and Psychology (26.9%).

Conclusions

Health research has been demonstrated to be important, at all times, especially during crises. Therefore, researchers need to invest more efforts into seeking new medical updates in various health-related fields, regardless of their correlation with coronavirus disease 2019.