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This study investigated the frailty change patterns among Korean older adults during 2006-2020 and the effect of activity limitations induced by the fear of falling (FOF) on these patterns. We employed a descriptive longitudinal design utilizing data from Waves 1 to 8 of the Korean Longitudinal Study of Aging. The exclusion criteria were a baseline age < 65 years, frailty index (FI) captured only at baseline, and death or unknown survival status. Multilevel modeling, combining regression equations at two levels, was used to examine the effect of activity limitations due to FOF on frailty, adjusting for other confounding factors. An increase in FI (1.97; p < .001) was demonstrated in participants who had experienced falls versus those who had not in the past 2 years. Notably, those facing activity limitations due to FOF exhibited a more significant increase in FI (4.62; p < .001) compared with those without; frailty progression intensified over time in the former (0.54, p < .001). Activity limitations due to FOF had a more pronounced impact on frailty than falls; moreover, these activity limitations accelerated the progression of frailty. Healthcare providers must prioritize addressing FOF by employing both physical and psychological interventions to mitigate activity limitations and ultimately decelerate frailty.
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Acidentes por Quedas , Medo , Idoso Fragilizado , Fragilidade , Humanos , Idoso , Acidentes por Quedas/prevenção & controle , Feminino , Medo/psicologia , Masculino , Estudos Longitudinais , Fragilidade/psicologia , República da Coreia/epidemiologia , Idoso de 80 Anos ou mais , Idoso Fragilizado/psicologia , Atividades Cotidianas , Avaliação GeriátricaRESUMO
BACKGROUND: Patient-centered care aims to prevent disease and promote well-being by actively involving patients in treatment and decision-making that is based on respecting the patients and their families. However, no scales have been developed to assess patient-centered care from the nurse's perspective. This study aimed to develop a scale to measure nurses' level of patient-centered communication and confirm its validity and reliability. METHODS: A methodological cross-sectional study was adopted to develop and validate the Patient-Centered Communication Scale (PCCS). The items were developed through a literature review and online interviews with nurses. Content validity was assessed by experts and the content validity index was calculated. A pretest of the questionnaire was conducted with 10 clinical nurses. To evaluate the factor structure and internal consistency reliability, the PCCS was administered online to 325 nurses in South Korea. Data were analyzed using descriptive statistics, explanatory factor analysis (EFA), and confirmatory factor analysis (CFA). RESULTS: The final instrument consisted of 12 items and three factors: (1) information sharing, (2) patient-as-person, and (3) therapeutic alliance. EFA revealed a distinct three-factor structure, explaining 59.0% of the total variance. CFA confirmed the adequacy of the model fit and validated the inclusion of the final items. The Cronbach's alpha values ranged from 0.60 to 0.77, indicating acceptable internal consistency. Convergent validity was evidenced by the correlation between the PCCS and a measure of interpersonal communication competence. CONCLUSIONS: The 12-item PCCS showed good reliability, construct validity, and convergent validity. The scale has utility for measuring the level of patient-centered communication skills in nurses.
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Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to explore the relationship between shift work, sleep duration, social jetlag, and the risk of metabolic syndrome among U.S. workers and the moderating effect of sleep duration and social jetlag on this relationship. Data from the National Health and Nutrition Examination Survey (NHANES) in 2017-2020 March were analyzed. Poisson regression models were employed to examine associations. Among 4136 U.S. workers, 53.3% had metabolic syndrome, with a higher proportion of shift workers (63.8% vs. 56.7%, p = 0.001) and those sleeping less than 6 h or more than 9 h per week (22.3% vs. 19.1%, p = 0.044) in the affected group. Shift workers were initially found to have an increased risk of metabolic syndrome (Coef. = 0.03, 95% CI: 0.02, 0.16); however, this association was mitigated when accounting for the interaction with social jetlag. Specifically, 1 to <2 h of social jetlag interacted significantly, increasing metabolic risk (Coef. = 0.15, 95% CI: 0.09, 0.22), whereas 1 to <2 h alone showed a protective effect (Coef. = -0.11, 95% CI: -0.17, -0.06). These findings suggest that optimizing sleep schedules and addressing social jetlag may be crucial in mitigating metabolic syndrome risks among shift workers.
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Síndrome Metabólica , Inquéritos Nutricionais , Sono , Humanos , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/etiologia , Masculino , Adulto , Feminino , Pessoa de Meia-Idade , Jornada de Trabalho em Turnos , Estados Unidos/epidemiologia , Síndrome do Jet Lag , Fatores de Risco , Adulto Jovem , Tolerância ao Trabalho Programado/fisiologia , Duração do SonoRESUMO
PURPOSE: The impact of sarcopenia in oncology is increasingly recognized, yet little is known about its clinical implications in breast cancer. This systematic review and meta-analysis estimates the overall prevalence of sarcopenia in breast cancer, quantifies skeletal muscle index (SMI), and comprehensively evaluates sarcopenia's impact on clinical outcomes. METHODS: We systematically searched primary original research published before June 2023 in four databases: the Cochrane Library via Wiley, CINAHL Plus with Full Text, Embase via Elsevier Excerpta Medica, and Medline via Ovid. Standardized mean SMI and 95% confidence interval (CI) were calculated by applying the random-effects model. The methodological quality of the included studies was assessed using the National Institutes of Health quality assessment checklist. RESULTS: The systematic review included 17 studies with a total of 9863 patients; the meta-analysis included 12 of these studies. The mean prevalence of sarcopenia in breast cancer (stages I-III) was 32.5%. The mean SMI assessed by CT was 43.94 cm2/m2 (95% CI 42.87, 45.01; p < .01). Overall, low muscle mass was associated with chemotherapy toxicities, dose reductions, dose delays, or treatment discontinuation. Low muscle mass was generally associated with poor survival, but in some studies, this association was not significant or reversed direction. CONCLUSION: Sarcopenia is not just a state of muscle mass loss, but an influencing factor on therapeutic effects and survival rates in oncology. It is thus necessary to recognize the risk of sarcopenia throughout the trajectory of cancer treatment, identify low muscle mass early, and manage it from a prehabilitation perspective.
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Neoplasias da Mama , Sarcopenia , Humanos , Sarcopenia/epidemiologia , Sarcopenia/etiologia , Neoplasias da Mama/complicações , Prevalência , FemininoRESUMO
AIM: To employ network analysis to identify the central healthcare service needs of people living with HIV (PLWH) for integrated care. DESIGN: Cross-sectional survey. METHODS: A list of healthcare services was identified through literature reviews, expert workshops and validity evaluations by PLWH. A total of 243 PLWH participated at five hospitals and self-reported their need for healthcare services on a four-point Likert scale. Centrality of healthcare service needs was analysed using network analysis. RESULTS: The mean score for 20 healthcare service needs was 3.53 out of 4. The highest scoring need, "Precaution for interaction between antiretroviral therapy and other drugs," received a rating of 3.73 but had a centrality of only 0.31. The most central node in the network of healthcare service needs, "Information and coping with opportunistic infections," had a strength centrality of 1.63 and showed significant relationships with "non-HIV-related medical services (e.g., health check-ups)" and "Regular dental services." The correlation stability coefficient, which quantifies the stability of centrality, was 0.44 with an acceptable value. CONCLUSIONS: The most central need was information on opportunistic infections that had connections with many nodes in network analysis. By interpreting the relationships between needs, healthcare providers can design interventions with an integrative perspective. IMPLICATIONS FOR PATIENT CARE: Network visualization provides dynamic relationships between needs that are unknown from the score scale by presenting them graphically and qualitatively. IMPACT: Using network analysis to interpret need assessment offers an integrated nursing perspective. Coping with opportunistic infection is central to connecting the chain of healthcare. This study highlights the multifaceted understanding of patients' needs that nurses gain when they conduct network analysis. REPORTING METHOD: We adhered to the STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
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PURPOSE: The study investigated the relationship of gut microbiome features and sickness symptoms in kidney transplant recipients. METHODS: Employing a prospective, longitudinal design, we collected data from 19 participants who had undergone living-donor kidney transplant at three timepoints (pre-transplant and 1 week and 3 months post-transplant). Sickness symptom data and fecal specimens were collected at each timepoint. Participants were grouped either as high or low sickness symptom severity at baseline. Shotgun metagenomics sequencing characterized gut microbial structure and functional gene content. Fecal microbial features, including alpha (evenness and richness within samples) and beta (dissimilarities between samples) diversity and relative abundances, were analyzed using R statistical packages. Cross-sectional and longitudinal analyses examined relationships between gut microbial features and sickness symptoms. RESULTS: Although our exploratory findings revealed no significant differences in alpha and beta diversity between groups, the high-severity group showed lower microbial richness and evenness than the low-severity group. The high-severity group had enriched relative abundance of bacteria from the genera Citrobacter and Enterobacter and reduced relative abundance of bacteria from the genus Akkermansia across timepoints. No functional genes differed significantly between groups or timepoints. CONCLUSIONS: Kidney transplant recipients with high symptom burden displayed increased putative proinflammatory bacteria and decreased beneficial bacteria. This study provides an effect size that future large cohort studies can employ to confirm associations between gut microbial features and sickness symptom experiences in the kidney transplant population. The study findings also have implications for future interventional studies aiming to alleviate the sickness symptom burden in this population.
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Microbioma Gastrointestinal , Transplante de Rim , Humanos , Transplante de Rim/efeitos adversos , Masculino , Feminino , Estudos Prospectivos , Pessoa de Meia-Idade , Estudos Longitudinais , Adulto , Estudos Transversais , Transplantados/estatística & dados numéricos , Fezes/microbiologiaRESUMO
Background: The COVID-19 pandemic increased the worldwide prevalence of metabolic syndrome. The purpose of this study was to assess health behavior adherence during the pandemic in adults who had engaged in a metabolic syndrome management program for at least 6 months. This assessment included an evaluation of health behavior changes, factors influencing adherence, and clinical parameters. The city-wide program was operated by the Seoul Metropolitan Government. Methods: Baseline and follow-up data were compared in 116 participants who engaged in the program for at least 6 months prior to the pandemic. Health behaviors and clinical parameters were examined. Generalized estimating equation analysis was used to identify sociodemographic variables influencing health behavior adherence over time. Results: Systolic blood pressure, waist circumference, and blood glucose improved (all P<0.05), and risk factors decreased (P<0.001) from baseline to follow-up (mean±standard deviation, 1.13±0.91 years). All six health behaviors, physical activity and weight control, eating habits, alcohol consumption and smoking, stress management, sleep and rest, and medication compliance and medical examination improved (all P<0.001) from baseline to follow-up (2.37±1.05 years). Smoking and employment negatively influenced adherence to health behaviors (P<0.05). Participants felt the most beneficial part of the program was receiving sequential medical examination results with follow-up consultations by public health professionals without charge. Conclusion: Our study demonstrated the durability of the impact of the Seoul Program on all six targeted health behaviors as well as clinical parameters. Findings encourage participation in such broad-based programs and development of novel approaches to facilitate success for smokers and employed participants.
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PURPOSE: Because the population of older gastric cancer survivors (GCSs) is growing, understanding the long-term late effects experienced by these GCSs and their impact on survival outcomes is crucial for optimizing survivorship care. This study aims to identify and characterize these effects and investigate their association with survival outcomes. METHODS: A retrospective analysis of electronic health records was conducted on 9,539 GCSs diagnosed between 2011 and 2017. The GCSs were divided into two age groups (< 65 and ≥ 65 years) and the long-term late effects were categorized by age using Cox proportional hazard models. The impact of clinical factors and age-specific late effects on survival was evaluated in the older GCSs. RESULTS: Among the total GCSs, 37.6% were over and 62.4% were under 65 years of age. Significant differences between the age groups were observed in the cumulative hazard ratios (HRs) for iron and vitamin B12 levels and prognostic nutritional index (PNI) scores. In older GCSs, abnormal iron levels (HR 1.98, 95% CI 1.16-3.41, p = .013) and poor PNI scores (HR 1.59, 95% CI 1.03-2.47, p = .038) were associated with poorer survival outcomes. Additionally, being female was identified as a risk factor for lower survival rates (if male, HR 0.42, 95% CI 0.18-0.98, p = .045). CONCLUSION: This study highlights the typical long-term late effects experienced by older GCSs. By tailoring survivorship care to address nutritional-, age-, and gender-related factors, the overall survival and quality of life of older GCSs can be improved.