Objective: The majority of childhood cancer survivors develop at least one late effect subsequent to treatment (eg, cardiovascular disease and obesity). Consistent engagement in recommended health behaviors may mitigate some of these conditions. Researchers have identified early survivorship as a teachable moment, yet few studies have examined positive health behaviors during this period.
Methods: Families of children with cancer (ages 5-17) were initially recruited following a diagnosis or relapse of cancer. Three years post diagnosis, survivors (n = 82, M = 13.3, SD = 3.7) and their mothers (n = 103, M = 41.1, SD = 7.6) completed a questionnaire assessing exercise, dietary, and sleep patterns among survivors. A follow-up assessment was conducted 2 years later. Mixed models tested change in health behavior over time.
Results: At 3- and 5-year post diagnosis, mother and self-report indicated that few survivors engaged in appropriate levels of low-intensity exercise, fruit/vegetable intake, and dairy consumption. However, most survivors engaged in recommended levels of high intensity exercise, fast food restriction, and sleep. Health behaviors remained stable over time, except for mother report of sleep duration, which decreased (b = -0.6, P < 0.001). Brain tumor diagnosis predicted a larger decrease in self-report of sleep duration compared with other diagnoses (P = 0.04). Income predicted fast food intake such that higher income was associated with decreased intake over time, whereas lower income was associated with increased intake (P = 0.04).
Conclusions: During early survivorship, several health behaviors fell short of expectations for exercise and diet and did not improve upon reaching 5-year post diagnosis. Providers should evaluate survivors' health behaviors, including sleep, early and often, intervening when necessary.
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http://dx.doi.org/10.1002/pon.4911 | DOI Listing |
Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.
View Article and Find Full Text PDFSupport Care Cancer
December 2024
Division of Legal Medicine, Shiga University of Medical Science, Otsu, Japan.
Objective: This study aimed to explore the social factors of patients and caregivers, including those related to their wishes for home-based end-of-life care that influence its fulfillment.
Methods: A secondary analysis was conducted using the dataset (home-based end-of-life care N = 625, hospital end-of-life care N = 7603) Comprehensive patient-based survey conducted by The Study on Quality Evaluation of Hospice and Palliative Care by Bereaved Caregivers (J-HOPE 4) and multivariate analysis (multiple logistic regression) to explore the impact of social factors of patients and caregivers on the fulfillment of home-based end-of-life care. The explanatory variables included 11 social factors of patients, such as age and sex, and 18 social factors of primary caregivers.
J Cancer Res Clin Oncol
December 2024
Department of Respiratory Medicine, The Fuyang Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Purpose: This study aims to investigate the biological roles and molecular mechanisms of Cathepsin G (CTSG) in the progression of non-small cell lung cancer (NSCLC).
Methods: Western blotting and immunohistochemistry analyses of clinical samples were performed to determine the expression levels of CTSG in patients with NSCLC. Bioinformatic analysis of clinical datasets was conducted to evaluate the correlation between CTSG and lymph node metastasis, tumor stage, and immune cell infiltration.
J Athl Train
December 2024
Division of Athletic Training, School of Applied Health Sciences and Wellness, Ohio University, Athens.
Context: Research that has examined the association between specialization and injury in basketball has been limited to cross-sectional or retrospective studies.
Objective: To determine whether specialization is a risk factor for injury among high school basketball athletes.
Design: Prospective cohort study.
JAMA Netw Open
December 2024
Nethersole Institute of Continuing Holistic Health Education (NICHE), Alice Ho Miu Ling Nethersole Charity Foundation, Hong Kong, China.
Importance: Domiciliary noninvasive ventilation (NIV) is a standard treatment for improving health outcomes among patients with chronic hypercapnic respiratory failure (CHRF). However, poor adherence substantially limits its therapeutic effectiveness.
Objective: To determine the effect of an information-motivation-behavioral (IMB) skills-based intervention (IMB-NIV program) on NIV adherence, patient-reported health outcomes, and health service use among patients with CHRF.
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