ABSTRACT
INTRODUCTION: To utilize machine learning techniques to develop an association model linking lung cancer and environmental hormones to enhance the understanding of potential lung cancer risk factors and refine current nursing assessments for lung cancer. DESIGN: This study is exploratory in nature. In Stage 1, data were sourced from a biological database, and machine learning methods, including logistic regression and neural-like networks, were employed to construct an association model. Results indicate significant associations between lung cancer and blood cadmium, urine cadmium, urine cadmium/creatinine, and di(2-ethylhexyl) phthalate. In Stage 2, 128 lung adenocarcinoma patients were recruited through convenience sampling, and the model was validated using a questionnaire assessing daily living habits and exposure to environmental hormones. RESULTS: Analysis reveals correlations between the living habits of patients with lung adenocarcinoma and exposure to blood cadmium, urine cadmium, urine cadmium/creatinine, polyaromatic hydrocarbons, diethyl phthalate, and di(2-ethylhexyl) phthalate. CONCLUSIONS: According to the World Health Organization's global statistics, lung cancer claims approximately 1.8 million lives annually, with more than 50% of patients having no history of smoking or non-traditional risk factors. Environmental hormones have garnered significant attention in recent years in pathogen exploration. However, current nursing assessments for lung cancer risk have not incorporated environmental hormone-related factors. This study proposes reconstructing existing lung cancer nursing assessments with a comprehensive evaluation of lung cancer risks. CLINICAL RELEVANCE: The findings underscore the importance of future studies advocating for public screening of environmental hormone toxins to increase the sample size and validate the model externally. The developed association model lays the groundwork for advancing cancer risk nursing assessments.
ABSTRACT
A nursing experience applying Swanson`s caring theory in the care of a teenage patient who received Nuss procedure for his pectus excavatum is described in this article. After the operation, the patient suffered from postoperative pain, lack of knowledge, and body-image disturbance. These symptoms influenced the patient`s physical and mental health, and prompted the author to do an in-depth investigation and discussion of this case. The nursing period lasted from July 3rd to 10th, 2019. The author conducted a comprehensive nursing assessment using observation, interviews, listening, and telephone interviews. The major problems identified were acute pain, lack of knowledge, and body-image disturbance. During the nursing period, the author established a good therapeutic relationship with the patient. The author applied Swanson`s caring theory to understand the patient`s healthcare needs and provide appropriate care. The author discussed the treatment direction with the patient, applied cognitive-behavioral strategies to relieve pain, educated the patient on developing and implementing individualized rehabilitation plans to establish correct posture in daily activities, and helped the patient adapt to post-operative changes in appearance and maintain a positive attitude toward the future. The age gap between the author and the patient required that the author spend additional time communicating with the patient to encourage him to open up his mind. It is recommended that hospitals offer youth communication skills lessons for nurses to enhance their communication and care skills with people of different age groups. In sharing this nursing experience, we hope to provide medical staff with a reference for caring for adolescent patients with disease-related body-image disturbance.
