Biological research for nursing最新文献

Background: Obese patients are increasingly recognized as being at higher risk for skin diseases, particularly chronic wounds. While the exact mechanisms remain unclear, obesity is suspected to influence the development of chronic injuries via inflammatory biomarkers. Single nucleotide polymorphisms (SNPs) may further influence gene expression, protein function, and levels of inflammatory biomarkers through various mechanisms, thereby modulating inflammatory responses that contribute to wound pathogenesis. Methods: A two-sample two-step Mendelian Randomization (MR) was employed to explore the causal relationship between obesity and chronic wounds, focusing on the mediating role of inflammatory biomarkers. SNPs were used as instrumental variables (IVs) to infer causality. Obesity-related genetic data were sourced from the UK Biobank and GIANT consortium. Genome-wide association studies provided data on 92 inflammatory biomarkers, involving 14,824 and 575,531 individuals. Pressure injuries, lower limb venous ulcers, and diabetic foot ulcer data were obtained from FinnGen R10 and the Pan-UK Biobank. Results: Obesity significantly increased the risk of pressure injuries, lower limb venous ulcers, and diabetic foot ulcers. CCL19, hGDNF, IL-12B, and TNFRSF9 were identified as mediators in obesity-induced lower limb venous ulcers. Conclusion: This study provides genetic evidence that obesity leads to lower limb venous ulcers via inflammatory biomarkers, suggesting potential therapeutic targets for intervention.

Patients with schizophrenia often lack physical activity, which, together with physical complications, can lower their expected lifespan. Exercise strengthens their physical and mental health. The primary aim of this study was to examine the effectiveness of a walking exercise intervention in improving physical fitness, body mass index, waist-to-hip ratio, and depressive symptoms in patients with schizophrenia. A quasi-experimental study design was used. Seventy-six participants were recruited from the psychiatric daycare center at a hospital in Northern Taiwan. They were divided into two groups. The intervention group received a walking exercise intervention, while the control completed their daily courses at the psychiatric daycare center. The changes in both groups' physical fitness, BMI, waist-to-hip ratio, and depressive symptoms were monitored. Cardiorespiratory endurance significantly improved in the intervention group, attesting to the effectiveness of the walking exercise intervention. Their depression level significantly decreased across all measurement stages. The group walking exercise reduced sedentary behaviors and increased the participants' autonomous motivation, hip circumference, and cardiorespiratory fitness. Structured exercise programs may increase the patients' hippocampal neuroplasticity and reduce their depressive symptoms. The walking exercise intervention positively affected physiological traits, physical fitness, and mental health of the participants.

Objectives. Dysphagia is a geriatric syndrome, which may lead to complications such as dehydration, malnutrition, aspiration, pneumonia, and a significant reduction in quality of life. The purpose of this study was to construct and validate a prediction model for dysphagia in community-dwelling older adults and provide an assessment tool for the prevention and control of dysphagia. Design. Cross-sectional study. Setting. The community-dwelling Chinese older adults. Participants. 3655 participants aged 65 years and older were involved, who were randomly divided into the training set and the validation set. Methods. Data were collected and analyzed from June 2022 to September 2022. Univariate and multivariate logistic regression analysis were used to identify independent risk factors for dysphagia. We applied R software to develop a nomogram model to predict dysphagia in community-dwelling older adults. The predictive value of the model was assessed by the area under the ROC curve (AUC), the calibration curve was used to evaluate the reliability of the nomogram model for predicting dysphagia in community-dwelling older adults. The model's clinical utility was further evaluated using a Decision Curve Analysis (DCA). Results. The incidence of dysphagia was 11.8% (320/3655). Maximum tongue pressure, number of molars, pneumonia, ADL, sarcopenia, age, neurological diseases, and rheumatic immune diseases were selected as risk predictors for dysphagia. The prediction model demonstrated fair discriminative ability with the AUC was 0.709 (95%CI: 0.679-0.739) in the training set and 0.693 (95%Cl: 0.640-0.747) in the validation set, the calibration is adequate, and the Hosmer and Lemeshow test showed p values of 0.163 and 0.415, respectively. The DCA curve of our model shows a positive clinical net benefit. Conclusions. The prediction model established in this study was of a certain predictive value for the risk of dysphagia in community-dwelling older adults. By estimating the likelihood of future outcomes or the onset of certain diseases, it can assist medical personnel in formulating preventive strategies, lessening the workload of nurses, and also diminishing the financial burden on patients, thereby enhancing their overall quality of life.

Background: Genetics may influence symptoms experienced by breast cancer survivors (BCS) by moderating the effects of stress-reducing interventions, including the Mindfulness-Based Stress Reduction (MBSR(BC)) program, to reduce symptom severity. As part of a larger clinical trial, the aim of this study was to evaluate genetic variants as moderators of MBSR(BC) on improvements among BCS in cognitive functioning and symptoms.

Methods: BCS (n = 128) were randomized to MBSR(BC) or the Breast Cancer Education Support Program. Objective neuropsychological and subjective measures of cognitive performance, and psychological and physical symptoms were collected at baseline, 6, 12, and 26 weeks. Linear mixed models were implemented to identify MBSR(BC)'s effects over time. A total of 22 single nucleotide polymorphisms (SNPs) from 20 genes known to be related to these symptoms were investigated using genomic DNA. These SNPs were tested as moderators of MBSR(BC) program effects.

Results: Results showed MBSR(BC) participants experienced significantly greater benefits in cognitive functioning, however, the level of benefit varied based on one's genetic profile. Effects sizes, consistency across similar measures were investigated. Among 22 candidate SNPs, rs4680 in COMT, rs1800497 in ANKK1, and rs6277 in DRD2 demonstrated the strongest, most consistent positive effects in moderating MBSR(BC)'s impact on cognitive outcomes.

Conclusions: Although the effects were small, this translational research may potentially identify BCS with genotypes that would be most influenced by the MBSR(BC) program. These results may be used to develop personalized intervention programs tailored to the genetic profile of each breast cancer survivor who received chemotherapy or chemotherapy and radiation.

Trial registration: ClinicalTrials.gov, https://www.ClinicalTrials.gov Registration Number: NCT02786797.

Background: Little is known about how changes in physical activity (PA) over time may influence symptoms in people with heart failure (HF).

Methods: A secondary analysis was conducted with data from an RCT of an exercise intervention in patients with ICDs (implantable cardioverter defibrillator) and a HF diagnosis (n = 96). Data were collected at baseline and 2 months of PA intervention. Physical activity (PA Steps = mean steps/day; PA Intensity = mean steps/min for most intense 30 minutes/day) were measured over 5 days at each timepoint. Physical symptoms were measured using the Patient Concerns Assessment, the SF-36 Vitality, and Bodily Pain subscales for fatigue and pain. Psychological symptoms were assessed using the Patient Health Questionnaire-9, and the State-Trait Anxiety Index. Associations between PA and physical and psychological symptoms were analyzed with multivariate regression.

Results: Patients (n = 96) were predominately male (83%) and Caucasian (79%), aged 55.8 ± 12.3 years, BMI of 29.7 ± 5.1, with heart failure with reduced ejection fraction (HFrEF; 30.9 ± 9.9%). An increase in PA Steps was associated with improvement in anxiety (β = -1.178, p = .048). An increase in PA Intensity was associated with significant reductions in depression (β = -0.127, p = .021), anxiety (β = -0.234, p = .037), and fatigue (β = 0.528, p = .022). Decreases in PA Steps and PA Intensity were not associated with changes in any symptoms.

Conclusion: For HF patients with an ICD, more intense PA over 2 months was associated with improved psychological symptoms and reduced fatigue. Decreases in PA (total and intensity) were not associated with changes in symptoms. Interventions promoting increasing the intensity of PA over time may be an effective approach to reduce some HF symptoms.

Objective: The aim of this study was to explore the causal relationships between chronic pains (back pain, facial pain, general pain, headaches, knee pain, hip pain, neck/shoulder pain, stomach/abdominal pain) and analgesics (codeine, diclofenac, ibuprofen, morphine, paracetamol, tramadol) with telomere length using Mendelian randomization methods. Methods: In the study, various statistical methods including inverse variance weighted (IVW), Mendelian Randomization-Egger, weighted median, simple mode, and weighted mode were used to investigate the relationships between chronic pains, analgesics, and telomere length. Heterogeneity and pleiotropy tests were conducted to ensure the accuracy of the results. Results: The results of the IVW analysis revealed positive causal relationships between hip pain (odds ratio (OR): 1.145; 95% confidence interval (CI): 1.021-1.285; p = .020), and stomach/abdominal pain (OR: 1.100; 95% CI: 1.008-1.200; p = 0.033) with telomere length. Use of tramadol (OR: 0.074; 95% CI: 0.009-0.605; p = 0.015) had a negative causal relationships with telomere length. Conclusion: This study found positive associations between hip pain and stomach/abdominal pain with telomere length, and a negative association between tramadol and telomere length. However, no significant causal relationships were found with other types of chronic pains and analgesics. This could help develop healthier chronic pain treatments, avoiding the abuse of analgesics.

Purpose: Exposure to adversity during childhood and adolescence is associated with numerous health conditions in adulthood; telomere shortening may be a mechanism through which adversity contributes to poor outcomes. We studied three areas of adversity (parent relational instability, child household instability, and financial instability) occurring during three epochs across childhood and adolescence and their associations with telomere length during adolescence. Methods: Data were obtained from the first wave of a longitudinal cohort study of youth aged 11-17 and their primary caregiver. Caregivers completed demographic and adversity questionnaires; youth provided a saliva sample for DNA extraction for telomere analysis. Results: Of 879 youth, over half experienced some adversity. More than one third experienced parent relational instability in each age epoch, with nearly a quarter experiencing parent relational instability in all age epochs. Youth experienced a similar pattern of financial instability but lower rates of child household instability. Youth experiencing parent relational instability at two or three epochs had shorter telomeres compared to those without any parent relational instability (p < .004). Youth who experienced child household instability in two age epochs had shorter telomeres (p = .003) and youth who experienced financial instability across all three epochs had shorter telomeres (p = .013) compared to youth without these adversities. Conclusion: Continuing exposure to adversity in early childhood may be more likely to affect telomere length. Research is needed to further determine adversities exerting the most effect and to understand if early telomere shortening has long term health effects.

In the era of precision health, nursing research has increasingly focused on the analysis of large, multidimensional data sets containing multiple correlated phenotypes (e.g., symptoms). This presents challenges for statistical analyses, especially in genetic association studies. For example, the inclusion of multiple symptoms within a single model can raise concerns about multicollinearity, while individual SNP-symptom analyses may obscure complex relationships. As such, many traditional statistical approaches often fall short in providing a comprehensive understanding of the complexity inherent in many nursing-focused research questions. Multivariate Bayesian approaches offer the unique advantage of allowing researchers to ask questions that are not feasible with traditional approaches. Specifically, these methods support the simultaneous exploration of multiple phenotypes, accounting for the underlying correlational structure between variables, and allow for formal incorporation of existing knowledge into the statistical model. By doing so, they may provide a more realistic view of statistical relationships within a biological system, potentially uncovering new insights into well-established and undiscovered connections, such as the probabilities of association and direct versus indirect effects. This valuable information can help us better understand our phenotypes of interest, leading to more effective nurse-led intervention and prevention programs. To illustrate these concepts, this paper includes an application section covering two specific multivariate Bayesian analysis software programs, bnlearn and mvBIMBAM, with an emphasis on interpretation and extension to nursing research. To complement the paper, we provide access to a detailed online tutorial, including executable R code and a synthetic data set, so the concepts can be more easily extended to other research questions.

Background: This study aims to investigate the association between serum calcium levels and acute coronary syndrome (ACS) risk, examining whether this relationship differs by sex, given the known differences in calcium metabolism and hormonal influences between males and females. Methods: Utilizing the Korean Genome Epidemiology Study (KoGES) prospective cohort data, our primary exposure variables were serum calcium level and sex. The incidence of ACS served as the main outcome of interest. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression analysis. An interaction analysis was conducted to assess the interaction effect of calcium level and sex on ACS incidence. Results: After adjusting for confounding variables, high calcium intake did not significantly increase ACS incidence, with a hazard ratio (HR) of 1.07 (95% CI: 0.90-1.26). There was also no significant difference in ACS risk between females and males (HR: 0.81, 95% CI: 0.61-1.04). However, interaction effect analysis revealed that higher calcium levels were associated with an increased risk of ACS only in females (HR: 1.24, 95% CI: 1.07-1.58), whereas the association in males was not statistically significant (HR: 0.90, 95% CI: 0.71-1.15). Conclusion: Our study results indicate that elevated serum calcium levels alone did not independently increase the risk of ACS; however, high serum calcium levels were associated with an increased risk of ACS in females but not in males, underscoring the importance of sex-specific factors in assessing and managing ACS risk and highlighting the necessity for personalized medical approaches to improve cardiovascular health outcomes for women.

Background: People with HIV (PWH) are at risk of developing HIV-associated neurocognitive disorder (HAND) despite receiving combination antiretroviral therapy. Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive function and neuroplasticity, but its role in HIV-related neuroinflammation remains understudied. Methods: This study analyzed data from the CHAMPS study, assessing BDNF serum levels and cognitive function in 140 adults with HIV at baseline. Cognitive function was evaluated using the PROMIS Applied Cognition-Abilities 8-item questionnaire. BDNF levels (pg/ml) were measured using high sensitivity Enzyme-Linked Immunoassay (ELISA) kits. Linear regression analyses were conducted to explore the associations between BDNF levels, cognitive function, and AIDS diagnosis, adjusting for demographic variables. Results: A significant positive association was found between BDNF levels and cognitive function scores in PWH (p = .03). Additionally, PWH with a history of AIDS diagnosis showed significantly lower BDNF levels (p = .02). Other demographic factors did not significantly impact cognitive function or BDNF levels in this cohort. Conclusions: Our results highlight the potential of BDNF as a biomarker for cognitive decline in PWH and suggest its relevance in understanding HAND pathophysiology. Further research is warranted to explore the multifaceted interactions influencing cognitive outcomes in this population and to develop targeted interventions for improving cognitive health in PWH.