Dysfunctional Self-Focus and Fear of Progression in Cancer Patients Mediated by Depression, Anxiety, and Dysfunctional Sleep Beliefs.

OBJECTIVE: This study explores whether cancer patients' dysfunctional self-focus is a significant contributor to their fear of progression. In addition, we investigated whether their psychiatric symptoms such as depression, anxiety, and dysfunctional beliefs about sleep may mediate the relationship between these factors. METHODS: We conducted a retrospective medical records review of 196 cancer patients who visited the Stress Management Clinic for the first time from March to September 2022. Their demographic information and responses to rating scales such as the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Dysfunctional Self-focus Attribution Scale (DSAS), Patient Health Questionnaire-9 Items (PHQ-9), State subcategory of the State and Trait of Anxiety Inventory (STAI-S), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep scale (C-DBS), and numeric rating scales of pain and fatigue were collected. RESULTS: A high FoP-Q-SF score was significantly correlated with high PHQ-9 (r=0.60), STAI-S (r=0.38), ISI (r=0.34), C-DBS (r=0.47), pain (r=0.24), fatigue (r=0.37), and DSAS (r=0.58, all p<0.001). A linear regression analysis showed that the FoP-Q-SF score was significantly predicted by younger age (ß=-0.13, p=0.011), PHQ-9 (ß=0.36, p<0.001), STAI-S (ß=0.18, p=0.001), C-DBS (ß=0.22, p<0.001), and DSAS (ß=0.25, p<0.001). A mediation analysis showed that dysfunctional self-focus directly influenced patients' fear of progression. In addition, cancer patients' depression, anxiety, and cancer-related dysfunctional beliefs about sleep mediated this relationship. CONCLUSION: We observed that dysfunctional self-focus may influence cancer patients' fear of progression, mediated by depression, anxiety, and cancer-related dysfunctional beliefs about sleep.

Unmet Needs and Barriers in Providing Hospital Care for Older Adults: A Qualitative Study Using the Age-Friendly Health System Framework.

Purpose: This study aims to identify unmet needs and barriers for improving inpatient care for older adults at an academic hospital in Korea by using a qualitative focus group design and the Age-Friendly Health Systems (AFHS) framework. Patients and Methods: A total of 14 healthcare providers and employees participated in focus group interviews. Participants included medical doctors, registered nurses, a receptionist, a patient transporter, a pharmacist, a physical therapist, and a social worker. The data were analyzed qualitatively, as per the Consolidated Criteria for Reporting Qualitative Research guidelines. The analysis method encompassed a thematic framework analysis via the AFHS 4Ms framework, consisting of the four domains "What Matters", "Medication", "Mentation", and "Mobility". Results: Multiple barriers and unmet needs were identified using the AFHS 4Ms framework in the provision of inpatient care for older adults at the hospital. The main barriers identified in the "What matters" domain are a lack of shared decision-making and individualized care plans, as well as economic and safety-conscious preferences among some older patients. In the "Medications" domain, the main barriers to providing adequate and safe pharmacotherapy include patient and caregiver-related factors, increased complexity of medication use, and lack of institutional support systems. In the "Mentation" domain, the main issues identified are communication barriers related to patients, caregiver factors, and insufficient delirium management due to a lack of adequate processes/environments such as delirium identification. In the "Mobility" domain, the main challenges include reduced mobility and geriatric complications, unnecessary mobility restrictions, and the increased risk of falls due to lack of resources and environmental factors. Conclusion: The study highlighted the need for improvements in inpatient care for older adults at an academic hospital in Korea. Identified unmet needs and barriers can be used to guide a more patient-centered approaches for an age-friendly inpatient environment.

Height loss as an indicator of ageing through its association with frailty and sarcopenia: An observational cohort study.

BACKGROUND: Height loss is associated with various health-related variables such as cardiovascular disease, osteoporosis, cognitive function, and mortality. We hypothesized that height loss can be used as an indicator of aging, and we assessed whether the degree of height loss for 2 years was associated with frailty and sarcopenia. METHODS: This study was based on a longitudinal cohort, the Pyeongchang Rural Area cohort. The cohort included people aged 65 years or older, ambulatory, and living at home. We divided individuals according to the ratio of height change (height change for 2 years divided by height at 2 years from baseline): HL2 (<-2%), HL1 (-2%--1%), and REF (-1%≤). We compared the frailty index, diagnosis of sarcopenia after 2 years from baseline, and the incidence of a composite outcome (mortality and institutionalization). RESULTS: In total, 59 (6.9%), 116 (13.5%), and 686 (79.7%) were included in the HL2, HL1, and REF groups, respectively. Compared with the REF group, groups HL2 and HL1 had a higher frailty index, and higher risks of sarcopenia and composite outcome. When groups HL2 and HL1 were merged, the merged group had higher frailty index (standardized B, 0.06; p = 0.049), a higher risk of sarcopenia (OR, 2.30; p = 0.006), and a higher risk of composite outcome (HR, 1.78; p = 0.017) after adjusting for age and sex. CONCLUSIONS: Individuals with greater height loss were frailer, more likely to be diagnosed with sarcopenia and had worse outcomes regardless of age and sex.

A Comparative Study of High-Frequency Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry for Estimating Body Composition.

Though bioelectrical impedance analysis (BIA) is a favorable tool for assessing body composition to estimate nutritional status and physical fitness, such as sarcopenia, there are accuracy issues. Hence, high-frequency (HF) BIA equipment uses an additional frequency of 2 and 3 MHz and has been developed as a commercial model. However, there are no studies validating the accuracy and safety of HF-BIA. Therefore, this study aims to assess the validity of HF-BIA in analyzing body composition relative to dual-energy X-ray absorptiometry (DEXA). Appendicular lean mass (ALM), fat-free mass (FFM), and percentage of body fat (PBF) were assessed by HF-BIA and DEXA in 109 individuals; 50.5% (n = 55) were males. The average age and body mass index (BMI) were 43.4 ± 14.7 years and 25.5 ± 6.7 in males and 44.9 ± 14.1 years and 24.0 ± 6.4 in females, respectively. The HF-BIA results showed a high correlation with the DEXA results for assessing ALM (standard coefficient beta (ß) ≥ 0.95), FFM (ß ≥ 0.98, coefficient of determinations (R2) ≥ 0.95), and PBF (ß ≥ 0.94, R2 ≥ 0.89). Body composition measured by HF-BIA demonstrated good agreement with DEXA in Korean adults.