Clinical Nursing Research最新文献

Purpose: To determine if there were differences between the subjective and objective assessments of physical activity while controlling for sociodemographic, anthropometric, and clinical characteristics.

Setting/sample: A total of 810 participants across eight sites located in three countries.

Measures: Subjective instruments were the two subscales of Self-efficacy for Exercise Behaviors Scale: Making Time for Exercise and Resisting Relapse and Patient-Reported Outcomes Measurement Information System, which measured physical function. The objective measure of functional exercise capacity was the 6-minute Walk Test.

Analysis: Both univariate and multivariant analyses were used.

Results: Physical function was significantly associated with Making Time for Exercise (β = 1.76, p = .039) but not with Resisting Relapse (β = 1.16, p = .168). Age (β = -1.88, p = .001), being employed (β = 16.19, p < .001) and race (βs = 13.84-31.98, p < .001), hip-waist ratio (β = -2.18, p < .001), and comorbidities (β = 7.31, p < .001) were significant predictors of physical functioning. The model predicting physical function accounted for a large amount of variance (adjusted R² = .938). The patterns of results predicting functional exercise capacity were similar. Making Time for Exercise self-efficacy scores significantly predicted functional exercise capacity (β = 0.14, p = .029), and Resisting Relapse scores again did not (β = -0.10, p = .120). Among the covariates, age (β = -0.16, p < .001), gender (β = -0.43, p < .001), education (β = 0.08, p = .026), and hip-waist ratio (β = 0.09, p = .034) were significant. This model did not account for much of the overall variance in the data (adjusted R² = .081). We found a modest significant relationship between physical function and functional exercise capacity (r = 0.27).

Conclusions: Making Time for Exercise Self-efficacy was more significant than Resisting Relapse for both physical function and functional exercise capacity. Interventions to promote achievement of physical activity need to use multiple measurement strategies.

Despite the growing number of Korean American (KA) family caregivers for persons with dementia, little is known about how acculturation might affect caregiving stress in this population. Acculturation is a variable of considerable interest in caregiving research due to its significance in understanding the impact of cultural perceptions and expectations on the caregiving role and its relation to mental health outcomes. A cross-sectional descriptive study using baseline data from an ongoing randomized controlled trial of dementia caregiver intervention was performed to examine the association between acculturation and mental health outcomes among KA caregivers (n = 32) for persons with dementia. Self-report survey questionnaires including a bidirectional acculturation scale, Center for Epidemiologic Studies Depression Scale, the Perceived Stress Scale, and the Zarit Burden Interview were administered in person in English or Korean by trained bilingual community health workers. The primary independent variable, acculturation, was assessed using a 24-item inventory. It measured two sets of cultural orientation: Korean orientation and American orientation. The mean age was 67 years (SD = 11.8) and 87% were women. Half of the caregivers were spouses of persons with dementia, while the other half were offspring caregivers. In the multiple linear regression model, caregiver acculturation toward Korean cultural orientation had a significant and positive association with depressive symptoms (β = .62; SE = 0.25; p-value = .02) and perceived stress (β = .29; SE = 0.13; p-value = .03) after adjusting for age and self-efficacy. No significant effect of American cultural orientation was found for caregiver burden, perceived stress, or depressive symptoms. Our findings suggest that exploring the role of acculturation in caregiving and its relation to outcomes, particularly caregiver distress, may be valuable for future studies aiming to understand specific elements of cultural values and practices in the acculturation process related to mental health outcomes among immigrant Korean American caregivers.

Stroke is a disease with a heavy social and familial care burden that can cause permanent brain damage, long-term disability, and/or death. This study aimed to determine the effect of technology-based health promotion training on the daily life activities, quality of life, and self-care of stroke patients. The study design was a Randomized Controlled Trial. The study sample included persons diagnosed with stroke diagnosed with stroke and were receiving inpatient treatment in the neurology clinic of a university hospital. The sample size was calculated as a total of 70 patients, 35 interventions and 35 controls. The intervention group patients received telephone-based education and follow-up grounded in Orem's Self-Care Theory over a 12-week period subsequent to their discharge. The educational content was divided into three distinct categories: self-care needs with regard to health deviations, developmental self-care needs, and universal self-care practices. Data were collected using the Montreal Cognitive Assessment Scale, the Katz Index of Independence in Activities of Daily Living, Stroke-Specific Quality of Life Scale, and the Exercise of Self-Care Agency Scale. The Independent Sample T-Test was used for intergroup comparisons, and the Dependent Sample T-Test was used for intragroup pre-test and post-test comparisons. Independent variables affecting the post-test scores, such as age and gender, were analyzed using the multiple linear regression model. The scale sub-dimension variables were compared using the multivariate analysis of variance test according to the groups. When compared with the control group patients after the training, it was determined that there was a statistically significant difference in the intervention group patients' mean scores for the Stroke-Specific Quality of Life Scale (t = 11.136, p = .001) and the Exercise of Self-Care Agency Scale (t = 14.358, p = .000). Training interventions led to enhanced awareness and knowledge about stroke among the intervention group patients. They also fostered the development of healthier lifestyle behaviors and bolstered both self-care abilities and quality of life.

Estimates of 10-49% of patients may experience ongoing symptoms after COVID-19, including dyspnea. Respiratory muscle strength training has been used to reduce dyspnea in other respiratory diseases, thus, it may be a viable option for individuals with post-COVID-19 symptoms. The objective of this review was to evaluate the evidence for the effectiveness of respiratory muscle strength training for individuals with post-COVID-19 dyspnea. A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. CINAHL, Web of Science, PubMed, EMBASE, Google Scholar, and Scopus databases were searched from 2020-2023. Eleven articles met the inclusion criteria. Pulmonary measures were improved in all but one study, and dyspnea, physical capacity and quality of life measures achieved statistical significance. Outcomes improved following respiratory muscle strength training as a standalone intervention, or with aerobic and peripheral muscle strength training.

Comorbidity network analysis (CNA) is a technique in which mathematical graphs encode correlations (edges) among diseases (nodes) inferred from the disease co-occurrence data of a patient group. The present study applied this network-based approach to identifying comorbidity patterns in older patients undergoing hip fracture surgery. This was a retrospective observational cohort study using electronic health records (EHR). EHR data were extracted from the one University Health System in the southeast United States. The cohort included patients aged 65 and above who had a first-time low-energy traumatic hip fracture treated surgically between October 1, 2015 and December 31, 2018 (n = 1,171). Comorbidity includes 17 diagnoses classified by the Charlson Comorbidity Index. The CNA investigated the comorbid associations among 17 diagnoses. The association strength was quantified using the observed-to-expected ratio (OER). Several network centrality measures were used to examine the importance of nodes, namely degree, strength, closeness, and betweenness centrality. A cluster detection algorithm was employed to determine specific clusters of comorbidities. Twelve diseases were significantly interconnected in the network (OER > 1, p-value < .05). The most robust associations were between metastatic carcinoma and mild liver disease, myocardial infarction and congestive heart failure, and hemi/paraplegia and cerebrovascular disease (OER > 2.5). Cerebrovascular disease, congestive heart failure, and myocardial infarction were identified as the central diseases that co-occurred with numerous other diseases. Two distinct clusters were noted, and the largest cluster comprised 10 diseases, primarily encompassing cardiometabolic and cognitive disorders. The results highlight specific patient comorbidities that could be used to guide clinical assessment, management, and targeted interventions that improve hip fracture outcomes in this patient group.

In this paper, we explore the phenomenon of "self-deception" within the context of nursing, focusing on how nurses employ this coping mechanism when faced with dissonance, distress, and conflicting situations in clinical settings. Our primary objective is to examine the phenomenon of self-deception using Rodgers' evolutionary method of concept analysis. Focusing on nurses' experiences in challenging situations, our analysis highlights how self-deception is often employed as a coping strategy. According to our conceptual analysis, self-deception in nursing clinical practice highlights tensions between different paradigms and expectations in healthcare settings. These tensions stem from the power dynamics and subservience that nurses often face, which can hinder their ability to advocate for themselves, their patients, and the nursing profession.

The aim of this study was to estimate the prevalence of metabolic syndrome (MetS) in a Spanish rural population and assess differences in prevalence according to loneliness level, social isolation, and social support. This is a cross-sectional study of 310 patients. MetS was defined by National Cholesterol Education Program-Third Adult Treatment Panel. The UCLA (University of California, Los Angeles) Loneliness Scale, Multidimensional Scale of Social Support, and Lubben Social Network Scale were used to assess loneliness, perceived social support, and social isolation. Almost half of the participants fulfilled MetS diagnosis criteria. Subjects with MetS showed significantly higher levels of loneliness, less social support, and greater social isolation. Systolic blood pressure was significantly higher in socially isolated rural adults. Environmental factors may play a key role in the prevalence of MetS, so specific screening and prevention programs could help health professionals prevent the increasing rates of MetS in rural populations under these socially specific conditions of vulnerability.

Patient care needs in ambulatory care (AC) settings continue to grow and evolve in the United States, with commensurate growth of nursing responsibilities in AC. Conducting research on the nursing workforce and nursing practice is essential to understanding and meeting the needs of nurses and patients in this setting. However, the structures and characteristics of AC settings pose challenges for conducting research on AC nursing practice. This article explains unique barriers to participation in research for nurses in AC, describes recruitment challenges for nurse researchers in AC, and provides strategies to increase recruitment of nurses for AC research. Researchers in AC must find ways to recruit representative participant samples, be clear and precise in defining terms, and report robust demographic information about participants and their practice settings.

This study investigated the pattern of weight variability over 8 weeks and its associations with achieving weight gain goals and five biopsychosocial factors among pregnant women. We conducted a secondary analysis of 117 weeks of data from 16 pregnant women with a body mass index (BMI) ≥25. Weight variability was calculated from the difference of ending and beginning and maximum and minimum weights in a week and percent of each difference from baseline weight. Loess smoother, repeated measures model, and compound symmetric covariance matrix were used for analysis. The variability measure of maximum-minimum weight (overall mean: 2.1 ± 0.4 lbs.) was greater than the ending-beginning weight measure (overall mean: 0.7 ± 0.6 lbs.). Weight variability was negatively associated with achieving weight gain goals but not with biopsychosocial factors. Assessing weight variability is important during pregnancy so that preventive measures or lifestyle counseling can be instituted immediately to prevent excessive weight gain.

The aim of this study was to investigate the impact of COVID-19 infection on disease management among individuals with type 2 diabetes and to explore their perspectives on COVID-19. This descriptive qualitative study included patients with diabetes, with a sample of 15 patients meeting the study criteria. The data were analyzed using code groups, which were then further categorized into main themes and subthemes. The main themes were: initial contact with the SARS-CoV-2 that is associated with COVID-19 illness changes in diabetes self-management behaviors; attempt at maintaining diabetes selfmanagement behaviors; and problems with accessing diabetes care. The study findings revealed several significant insights. Individuals with diabetes exhibited a fear of contracting SARS-CoV-2, which led to reduced levels of exercise and difficulties in managing blood sugar levels and insulin adjustments. Moreover, due to anxiety about COVID-19 infection, they postponed health check-ups, resulting in experiencing diabetes-related complications.