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Background
In the United States, Black adults have the highest prevalence of obesity and hypertension, increasing their risk of morbidity and mortality. Caregivers of persons with dementia are also at increased risk of morbidity and mortality due to the demands of providing care. Thus, Black caregivers—who are the second largest group of caregivers of persons with dementia in the United States—have the highest risks for poor health outcomes among all caregivers. However, the physiological changes associated with multiple chronic conditions in Black caregivers are poorly understood.
Objectives
In this study, metabolomics were compared to the metabolic profiles of Black caregivers with obesity, with or without hypertension. Our goal was to identify metabolites and metabolic pathways that could be targeted to reduce obesity and hypertension rates in this group.
Methods
High-resolution, untargeted metabolomic assays were performed on plasma samples from 26 self-identified Black caregivers with obesity, 18 of whom had hypertension. Logistic regression and pathway analyses were employed to identify metabolites and metabolic pathways differentiating caregivers with obesity only and caregivers with both obesity and hypertension.
Results
Key metabolic pathways discriminating caregivers with obesity only and caregivers with obesity and hypertension were butanoate and glutamate metabolism, fatty acid activation/biosynthesis, and the carnitine shuttle pathway. Metabolites related to glutamate metabolism in the butanoate metabolism pathway were more abundant in caregivers with hypertension, while metabolites identified as butyric acid/butanoate and R-(3)-hydroxybutanoate were less abundant. Caregivers with hypertension also had lower levels of several unsaturated fatty acids.
Discussion
In Black caregivers with obesity, multiple metabolic features and pathways differentiated among caregivers with and without hypertension. If confirmed in future studies, these findings would support ongoing clinical monitoring and culturally tailored interventions focused on nutrition (particularly polyunsaturated fats and animal protein), exercise, and stress management to reduce the risk of hypertension in Black caregivers with obesity.
Background
Fatigue is a highly prevalent symptom for individuals with polycystic ovary syndrome (PCOS); however, characterization of fatigue and investigation into the gut microbiome—a pathway that may contribute to fatigue—remains inadequately explored in Black women with PCOS.
Objectives
The purpose of this cross-sectional study was to examine fatigue and its relationship to the gut microbiome in adult Black women with PCOS.
Methods
Adult Black women with a diagnosis of PCOS were recruited for this cross-sectional study. The Multidimensional Fatigue Inventory-20 (MFI-20) and the PROMIS Fatigue Short Form were used to measure fatigue. The V3/V4 region of the bacterial 16S rRNA gene was sequenced to investigate gut microbial composition. Relative abundance and diversity values were calculated.
Results
We found that Black women with PCOS experience mild to moderate levels of fatigue. An inverse relationship between fatigue scores and alpha diversity values was found for the gut microbiome. We also found distinct beta diversity profiles based on fatigue. Lastly, when controlling for hypertension and body mass index, Ruminococcus bromii, Blautia obeum, Roseburia, and HT002 were associated with three subscales of the MFI-20.
Discussion
Black women with PCOS experience mild to moderate fatigue. Clinicians should be cognizant of this population’s increased risk for fatigue to adequately address their healthcare needs. We also found that gut microbial composition was associated with fatigue in Black women with PCOS. Specifically, a higher relative abundance of certain gut bacteria involved in short-chain fatty acid production and anti-inflammatory pathways was correlated with lower fatigue levels. Future studies should further investigate the link between the gut microbiome and fatigue to determine whether this relationship is causal as better insight could inform tailored diet and exercise interventions to alter the gut microbiome and reduce fatigue.
Background
A healthy nursing workforce is vital to ensuring that patients are provided quality care. Assessing nurses' well-being and related factors requires routine evaluations from health system leaders that leverage brief psychometrically sound measures. To date, measures used to assess nurses' well-being have primarily been psychometrically tested among other clinicians or nurses working in specific clinical practice settings rather than in large, representative, heterogeneous samples of nurses.
Objectives
This study aimed to psychometrically test measures frequently used to evaluate factors linked to nurse well-being in a heterogeneous sample of nurses within a large academic health system.
Methods
This cross-sectional, survey-based study used a convenience sample of nurses working across acute care practice settings. A total of 177 nurses completed measures, which included the Professional Quality of Life, the short form of the Professional Quality of Life measure, the two-item Connor–Davidson Resilience Scale, the five-item World Health Organization Well-Being Index, the Secondary Traumatic Stress Scale, and the single-item Mini-Z. Internal reliability and convergent validity were assessed for each measure.
Results
All the measures were found to be reliable. Brief measures used to assess domains of well-being demonstrated validity with longer measures, as evident by significant correlation coefficients.
Discussion
This study provides support for the reliability and validity of measures commonly used to assess well-being in a diverse sample of nurses working across acute care settings. Data from routine assessments of the nursing workforce hold the potential to guide the implementation and evaluation of interventions capable of promoting workplace well-being. Assessments should include psychometrically sound, low-burden measures, such as those evaluated in this study.
Background
Fatigue, a prevalent complex symptom among patients with chronic obstructive pulmonary disease (COPD), is considered an important clinical indicator of disease severity. However, the underlying mechanisms of COPD-related fatigue are not fully understood.
Objectives
This analysis explored the relationships between peripheral inflammatory markers and COPD-related fatigue in people with moderate to severe COPD.
Methods
This is a secondary analysis of a longitudinal observational study of individuals with COPD examining the biological causes and functional consequences of depression. The data used in this study were collected at baseline. Systemic inflammation markers included C-reactive protein (CRP) and three pro-inflammatory cytokines consisting of interleukin-6 (IL-6), IL-8, and tumor necrosis factor-α. COPD-related fatigue was self-reported using the Chronic Respiratory Questionnaire. Covariates included age; gender; smoking status; disease severity; symptoms of depression, anxiety, and pain; and social support. Multivariable linear regression analyses were conducted.
Results
The sample included 300 adults living with COPD; 80% were male, and the average age was 67.6 years. Modest correlations were found between two systemic inflammatory markers (CRP and IL-8) and COPD-related fatigue. CRP was the only inflammatory marker significantly associated with fatigue symptoms after adjusting for covariates in multivariable analyses. Depression, pain, and education level were also significant predictors of COPD-related fatigue.
Discussion
The findings suggest that altered immune response based on CRP may contribute to COPD-related fatigue. Management of depression and pain may work as an effective treatment strategy for COPD-related fatigue. Further longitudinal studies with a broader range of inflammatory markers and multidimensional measures of fatigue symptoms are warranted.
Background
Chronic pain occurs in 30% of older adults. This prevalence rate is expected to increase, given the growth in the older adult population and the associated growth of chronic conditions contributing to pain. No population-based studies have provided detailed, longitudinal information on the experience of chronic pain in older adults; the pharmacological and nonpharmacological strategies that older adults use to manage their chronic pain; and the effect of chronic pain on patient-reported outcomes.
Objectives
This article aims to describe the protocol for a population-based, longitudinal study focused on understanding the experience of chronic pain in older adults. The objectives are to determine the prevalence and characteristics of chronic pain; identify the pharmacological and nonpharmacological pain treatments used; evaluate for longitudinal differences in biopsychosocial factors; and examine how pain types and pain trajectories affect important patient-reported outcomes. Also included are the results of a pilot study.
Methods
A population-based sample of approximately 1,888 older adults will be recruited from the National Opinion Research Center at the University of Chicago’s AmeriSpeak Panel to complete surveys at three waves: enrollment (Wave 1), 6 months (Wave 2), and 12 months (Wave 3). To determine the feasibility, a pilot test of the enrollment survey was conducted among 123 older adults.
Results
In the pilot study, older adults with chronic pain reported a range of pain conditions, with osteoarthritis being the most common. Participants reported an array of pharmacological and nonpharmacological pain strategies. Compared to participants without chronic pain, those with chronic pain reported lower physical and cognitive function and poorer quality of life. Data collection for the primary, longitudinal study is ongoing.
Discussion
This project will be the first longitudinal population-based study to examine the experience and overall effect of chronic pain in older adults. Pilot study results provide evidence of the feasibility of study methods. Ultimately, this work will inform the development of tailored interventions for older patients targeted to decrease pain and improve function and quality of life.
Background
Online surveys in nursing research have both advantages and disadvantages. Reaching a sample and attaining an appropriate response rate is an ongoing challenge and necessitates careful consideration when designing a nursing research study using an online survey approach.
Objective
In this study, we aimed to explore response rates and survey characteristics of studies by nurse researchers that used online methodologies to survey nurses, nursing students, and nursing faculty.
Methods
We conducted an integrative review of research studies that used online surveys for data collection published from 2011 to 2021. We examined response rates and survey characteristics such as recruitment method, use of incentives, question type, length of survey, time to complete the survey, and use of reminders.
Results
Our review included 51 studies published by nurses with target samples of nurses, nursing students, or nursing faculty. Study sample sizes ranged from 48 to 29,283, the number of respondents ranged from 29 to 3,607, and the response rates ranged from 3.4% to 98%, with an average of 42.46%. Few patterns emerged regarding recruitment or other factors to enhance response rates; only five studies used incentives.
Conclusion
Response rates to online surveys are unlikely to reach the rates seen in older mailed surveys. Researchers need to design online survey studies to be easily accessible, concise, and appealing to participants.
Background
Up to 45% of patients report cancer-related cognitive impairment (CRCI). A variety of characteristics are associated with the occurrence and/or severity of CRCI. However, an important gap in knowledge of risk factors for CRCI is the relative contribution of each factor. The multifactorial model of cancer-related cognitive impairment (MMCRCI) is a conceptual model of CRCI that can be used to evaluate the strength of relationships between various factors and CRCI.
Objectives
The purpose of this study was to use structural regression methods to evaluate the MMCRCI using data from a large sample of outpatients receiving chemotherapy (n = 1,343). Specifically, the relationships between self-reported CRCI and four MMCRCI concepts (i.e., social determinants of health, patient-specific factors, treatment factors, and co-occurring symptoms) were examined. The goals were to determine how well the four concepts predicted CRCI and determine the relative contribution of each concept to deficits in perceived cognitive function.
Methods
This study is part of a larger, longitudinal study that evaluated the symptom experience of oncology outpatients receiving chemotherapy. Adult patients were diagnosed with breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding 4 weeks; were scheduled to receive at least two additional cycles of chemotherapy; were able to read, write, and understand English; and gave written informed consent. Self-reported CRCI was assessed using the attentional function index. Available study data were used to define the latent variables.
Results
On average, patients were 57 years of age, college educated, and with a mean Karnofsky Performance Status score of 80. Of the four concepts evaluated, whereas co-occurring symptoms explained the largest amount of variance in CRCI, treatment factors explained the smallest amount of variance. A simultaneous structural regression model that estimated the joint effect of the four exogenous latent variables on the CRCI latent variable was not significant.
Discussion
These findings suggest that testing individual components of the MMCRCI may provide useful information on the relationships among various risk factors, as well as refinements of the model. In terms of risk factors for CRCI, co-occurring symptoms may be more significant than treatment factors, patient-specific factors, and/or social determinants of health in patients receiving chemotherapy. 
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