Nursing Research最新文献

Background: Emerging adults are a hard-to-recruit population for health researchers, as many do not routinely access health care services and are best recruited outside clinical settings. Social media and research volunteer registries (e.g., ResearchMatch) offer great potential among this population, yet a comparison of these two recruitment methods has not been done.

Objectives: To compare participant enrollment and completion rates, participant demographics, and recruitment costs between recruitment methods (social media advertisements compared to ResearchMatch) deployed with a sample of female-bodied emerging adults.

Methods: Female-bodied emerging adults were recruited from October to November 2022 via ResearchMatch and social media (Instagram and Snapchat) advertisements. This analysis involves a subset of recruitment data from a larger institutional review board-approved study. Enrollment and survey completion rates were calculated using the number of individuals contacted and survey completion data from Qualtrics. Chi-square and independent t-test analyses were used to compare demographic data. Advertisement data collected included total cost, cost per click, link clicks, and paid impressions.

Results: Two hundred and forty-five emerging adults completed the survey, and 24 completed follow-up interviews. ResearchMatch and social media enrollment rates differed (58% and 39%, respectively). Survey completion rates for both methods were the same (~93%). Participants' ages and levels of education were significantly different. Social media resulted in recruitment of younger participants (18-21 years), and ResearchMatch garnered participants with a higher level of education. Differences in race were also significant, as social media recruited higher numbers of White participants. Lastly, the researcher-incurred cost per survey was $0 for ResearchMatch versus $13 for social media.

Discussion: While social media and ResearchMatch are both successful tools for research recruitment, each provides distinct benefits for recruiting specific populations. ResearchMatch offers a lower-cost option and access to an older emerging adult population with higher education, while social media provides access to a younger emerging adult population. This knowledge can be imperative for deciding which recruitment methods best fit research study needs. Future research should explore differences in race by recruitment method to highlight potential sampling biases or recruitment opportunities.

Background: Infants with developmental risk factors are more likely to have feeding problems and develop chronic feeding disorders. Early detection and understanding of the progression of problematic feeding and its relationship with a child's biological functioning and the family feeding environment will enhance effective symptom management and development of interventions to prevent pediatric feeding disorders.

Objectives: The New Through Two (NewThru2) feeding study protocol is described. Study aims are to (a) characterize symptoms of problematic feeding and trajectories of symptoms from pre-discharge from neonatal intensive care through age 24 months; (b) determine the relationship of child biological function at discharge with symptom characteristics and trajectories; (c) describe the child's feeding environment and its relationship to symptoms from discharge through 24 months; and (d) determine the relationship between problematic feeding symptoms and growth and developmental outcomes.

Methods: NewThru2 is a prospective, longitudinal, mixed method study following over 200 infants who received care in a neonatal intensive care unit and were identified as at risk for compromised development. The study follows enrolled infants through 24 months of age. Symptoms of problematic feeding are measured pre-discharge by clinical observation and medical record review and post-discharge by parent report. Biological function is measured by medical history and cardiorespiratory and autonomic nervous system function during feeding prior to discharge. Child feeding environment is measured by strategies parents use to manage feeding, the effect of feeding on the parent and family, and the use of feeding services. A subset of parents is interviewed to achieve a contextual understanding of the family feeding environment. Child outcome measures include parent-reported feeding skills and clinician-reported growth and neurodevelopment.

Discussion: The results of this study will improve understanding of pediatric feeding disorders during a time of development sensitive to adequate nutrition and with infants at risk for developmental delays or impairments.

Background: Excessive daytime sleepiness is a prevalent and sustained symptom that contributes to untoward physiologic and psychologic outcomes among stroke survivors. Mechanisms of excessive daytime sleepiness post-stroke are not fully understood. Chronic systemic inflammation may contribute to impaired mitochondrial functioning and thereby reduce cellular energy metabolism which may contribute to symptoms of excessive daytime sleepiness in stroke survivors.

Objectives: This pilot study aimed to assess the relationship between systemic inflammation and cellular energy metabolism to post-stroke excessive daytime sleepiness.

Methods: This descriptive pilot study explored the relationship between excessive daytime sleepiness, systemic inflammation, and aerobic energy metabolism of platelets in 22 chronic stroke survivors. The Epworth Sleepiness Scale was used to measure excessive daytime sleepiness. Systemic inflammation was measured by assessing pro-inflammatory cytokines IL-6, IL-1β and TNF-α and the inflammatory marker C-reactive protein. Aerobic energy metabolism was measured by assessing oxygen consumption rates of platelets. Simple linear regression was used to test the influence of oxygen consumption rates and inflammation on excessive daytime sleepiness. Correlations were analyzed using Spearman rho correlation coefficients.

Results: Excessive daytime sleepiness was recognized in 27.3% of the sample. Systemic inflammation was associated with excessive daytime sleepiness in women but not men. We found no significant relationship between excessive daytime sleepiness and energy metabolism of platelets. However, all oxygen consumption rates were numerically higher in persons with excessive daytime sleepiness.

Discussion: Systemic inflammation may be related to excessive daytime sleepiness symptoms with a notable effect among women. Future larger studies are needed to further explore the sexually dimorphic relationship of post-stroke excessive daytime sleepiness to systemic inflammation. Numerically higher platelet oxygen consumption rates may indicate higher energy demands for stroke survivors with excessive daytime sleepiness.

Background: Older adults with heart failure experience clustered symptoms. However, little is known about how symptom clusters transition over time.

Objectives: This study aimed to (1) identify the longitudinal transition of symptom cluster profiles over 8 years and (2) examine the associations between demographic and clinical factors and the transition between symptom cluster profiles over time.

Methods: We conducted a longitudinal secondary analysis of data from the Health and Retirement Study's 2008, 2012, and 2016 surveys. We included participants with heart failure in the core data sets and their proxy respondents in the exit data sets. We included demographic and clinical variables as well as six symptoms (fatigue, shortness of breath, pain, swelling, depressive symptoms, dizziness) through physical health interviews. We used latent transition analysis and multinominal regressions to determine longitudinal profiles and explored the association between demographic and clinical factors and membership in symptom cluster profiles.

Results: Among 690 participants, we found four symptom cluster profiles (high burden, low burden, distressing, and respiratory-depressive distress). Participants in the low burden at baseline had the highest probability of transitioning to the respiratory-depressive distress profile. Participants in the respiratory-depressive distress at 4 years had the highest probability of transitioning to the high burden profile. Male sex, Black/African American race, smoking, and comorbidities were associated with the increased odds of transiting from the low symptom burden to the high symptom burden profile.

Discussion: Symptom cluster profile memberships were stable over an 8-year period. However, symptom cluster profiles are changeable and deteriorate over time. Identifying predictive factors enables targeted interventions for those at highest risk.

Background: The incidence of type 2 diabetes (T2DM) among U.S. adults has been rising annually, with a higher incidence rate in Black and Hispanic adults than in Whites. The American Heart Association (AHA) has defined cardiovascular health according to the achievement of seven health behaviors (smoking, body mass index [BMI], physical activity, diet) and health factors (total cholesterol, blood pressure, fasting glucose). Optimal cardiovascular health has been associated with a lower risk of cardiovascular disease, and awareness of this risk may influence healthy behaviors.

Objectives: This study aimed to assess cardiovascular health in a sample of Black and Hispanic adults (age: 18-40 years) with T2DM and explore the barriers and facilitators to diabetes self-management and cardiovascular health.

Methods: This was an explanatory sequential mixed-method design. The study staff recruited adults with T2DM for the quantitative data followed by qualitative interviews with a subsample of participants using maximum variation sampling. The seven indices of cardiovascular health as defined by the AHA's "Life's Simple 7" were assessed: health behaviors (smoking, BMI, physical activity, diet) and health factors (total cholesterol, blood pressure, A1C). Qualitative interviews were conducted to explore their results as well as the effects of the pandemic on diabetes self-management. Qualitative and quantitative data were integrated into the final analysis phase.

Results: The majority of the sample was female, with 63% identifying as Black and 47% as Hispanic. The factor with the lowest achievement of ideal levels was BMI, followed by a healthy diet. Less than half achieved ideal levels of blood pressure or physical activity. Themes that emerged from the qualitative data included the impact of social support, the effects of the pandemic on their lives, and educating themselves about T2DM.

Discussion: Achievement of ideal cardiovascular health factors varied, but the achievement of several health factors may be interrelated. Intervening on even one factor while providing social support may improve other areas of cardiovascular health in this population.

Background: Chronic liver disease is a significant global neglected public health problem. End-stage liver disease is associated with substantial symptom complexity, disability, and care needs that require assistance from informal family care partners. Research on these care partners' caregiver burden or strain, symptoms, and quality of life is sparse and has not focused on these variables as co-occurring or in the context of the quality of the relationship care partners have with the patients.

Objectives: The purpose of this study was to provide a collective presentation of patterns and determinants of well-being as measured by caregiver strain, depression, sleep, and quality of life in a cohort of informal family care partners for adult outpatients with end-stage liver disease.

Methods: Care partners (aged >18 years) were recruited from two liver clinics within two tertiary healthcare systems and invited to complete a cross-sectional survey. They completed the Multidimensional Caregiver Strain Index, Patient Health Questionnaire, Pittsburgh Sleep Quality Index, Short Form Health Survey, and Mutuality Scale. Descriptive statistics and latent class mixture modeling were used to analyze these data.

Results: The sample was predominantly female and White. The well-being of care partners was diminished. Three distinct classes of well-being were identified: mildly diminished (53.2%), moderately diminished (39.0%), and severely diminished (7.8%). Those at a greater risk of worse well-being were younger and spouses and had poorer relationship quality with the patients.

Discussion: To improve the well-being of care partners in moderately and severely diminished classes, assessing and addressing caregiver strain and co-occurring symptoms is essential. Addressing the strain and symptoms has the potential to maintain or optimize care partners' ability to provide care to patients. Future researchers should include longitudinal and dyadic studies to examine how patients' disease progression and symptoms may affect family care partners' well-being and vice versa.

Background: Vaccination is a critical tool to combat the COVID-19 pandemic. Yet, vaccine uptake varies across communities and is often affected by sociodemographic factors and accessibility.

Objectives: This article outlines a pilot study aimed to examine factors associated with COVID-19 patients within one of the nation's largest safety net healthcare systems.

Methods: A cross-sectional survey design was conducted with adults over 18 years of age eligible to receive the COVID-19 vaccine. Descriptive analysis of survey data collected in 2021-2022 was employed. Unconditional and multivariate logistic regression analyses were conducted to examine associations between sociodemographics, social factors, and COVID-19 vaccine uptake.

Results: Study participants ( N = 280) were a diverse patient population, primarily low-income and majority Hispanic/Latinx, with low education levels, but with a high level of COVID-19 vaccine uptake and a high rate of intent to vaccinate again. Approximately 22% report having unstable housing, and 46% experiencing food insecurity. Most trusted sources for COVID-19 data included mainstream media, including TV, radio, and newspapers, and friends, family, or other informal networks. We found that respondents who were satisfied or very satisfied with COVID-19 information received from healthcare providers or the government had higher odds of vaccine uptake rates.

Discussion: These findings highlight the critical role of access to the COVID-19 vaccine and sources of information as an independent factor in COVID-19 vaccine uptake among patients within a safety net healthcare system. This study expands the literature on COVID-19 vaccine uptake, particularly in an underresourced region of the South Los Angeles community. Future research is needed to better understand the mechanisms between social determinants of health, perceived discrimination, and vaccine uptake.

Background: Mitochondrial dysfunction plays a key role in the development of heart failure (HF), including HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF). Impaired mitochondrial function negatively affects cardiac function and, subsequently, the health status of patients. However, measuring mitochondrial function in human myocytes is difficult because of the high risk associated with myocardial biopsy. Platelets and leukocytes have functional mitochondria and can potentially serve as a surrogate for myocardial mitochondria. Roles of platelet and leukocyte mitochondrial function in HF have not yet been fully explored.

Objective: We aimed to explore the relationships of platelet and leukocyte mitochondrial function with cardiac function and self-reported health status among obese patients with HF and examine if the relationships vary between HFrEF and HFpEF.

Methods: Forty-five obese patients with HF were recruited. Maximal enzymatic activities (Vmax) of platelet cytochrome c oxidase (COX) and citrate synthase (CS) were assessed. Leukocyte mitochondrial mass, membrane potential, superoxide production, and apoptosis were measured in a subset of the sample. Data on cardiac function were retrieved from electronic health records. Self-reported health status was assessed using the Kansas City Cardiomyopathy Questionnaire (KCCQ). Pearson correlations were performed.

Results: Platelet COX Vmax was negatively correlated with left ventricular end-systolic diameter. Positive correlations of leukocyte mitochondrial mass and superoxide production with left ventricular mass and mass index were observed, respectively. Leukocyte mitochondrial mass and superoxide production also negatively correlated with KCCQ summary scores. These relationships varied between HFrEF and HFpEF.

Discussion: Platelet and leukocyte mitochondrial function was found to significantly correlate with some echocardiographic parameters and KCCQ scores. These findings provided preliminary data to support future research to further explore the potential of using platelets and leukocytes as surrogate biomarkers. Identifying easy-accessible mitochondrial biomarkers will be useful for assessing mitochondrial function to assist with early diagnosis and monitoring the effectiveness of mitochondrial-targeted therapy in HF patients.