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[Purpose] Low muscle mass and sleep disturbance are common among geriatric patients with cancer. In patients with gastrointestinal cancer, low muscle mass is considered an indicator of poor prognosis. In the recent years, sleep disturbance has attracted much attention as a factor for low muscle mass among community-dwelling elderly individuals; however, such associations are unclear in patients with cancer. The present study investigated the relationship between preoperative sleep disturbance and low muscle mass in patients with gastrointestinal cancer. [Participants and Methods] This cross-sectional survey enrolled 86 elderly patients (aged more than 60 years) with gastrointestinal cancer who were scheduled for curative surgery. Low preoperative muscle mass was defined according to Asian Working Group for Sarcopenia criteria. Sleep disturbance was assessed using the Japanese version of the Pittsburgh Sleep Quality Index, including the subscales. [Results] Twenty-seven patients (31%) were classified as having low muscle mass. After adjusting for confounding factors, bad sleep quality, determined by the subscales, was significantly associated with low muscle mass. [Conclusion] Our results suggest that the evaluation of sleep quality is imperative for addressing low preoperative muscle mass in patients with gastrointestinal cancer.

Objectives The aim of the present study was to investigate the impact of preoperative cachexia on postoperative length of stay (LOS) in elderly patients with gastrointestinal cancer. Methods This prospective cohort study enrolled 98 patients (≥60 y of age) with gastric or colorectal cancer who were scheduled to undergo curative surgery and were categorized as either having cachexia or as being in a non-cachexia group. The definition of cachexia was patients with >5% loss of stable body weight over the previous 6 mo, a body mass index (BMI) 2%, or sarcopenia and ongoing weight loss >2%. Multivariable Poisson regression analysis was performed with postoperative LOS as the dependent variable and the presence of cachexia as the independent variable, and age, sex, Eastern Cooperative Oncology Group performance status, education, cancer type, clinical stage, surgical approach, and the Charlson Comorbidity Index as confounding variables. Results Twenty-two patients (22.4%) were diagnosed with cachexia. Postoperative LOS was 17.1 ± 8.7 d in the non-cachexia group and 20.6 ± 10.8 d in the cachexia group. Multivariable Poisson analysis showed that preoperative cachexia was significantly associated with prolonged postoperative LOS after adjustment (2.41 d; 95% confidence interval, 0.28 to 4.55; P = 0.027). Conclusions Our results suggested that preoperative cachexia prolongs postoperative LOS in elderly patients with gastrointestinal cancer, implying that cachexia should be assessed and treated before surgery.

Objectives Frailty is a multidimensional syndrome. However, typical frailty scales used in oncology clinics assess physical impairment and/or malnutrition but do not consider the social domain. Our study aimed to clarify the relationship between preoperative social frailty and overall survival (OS) and cancer-specific survival (CSS) among older patients with gastrointestinal cancer. Design This was a prospective cohort study. Setting and Participants This single-center study recruited 195 patients with gastrointestinal cancer scheduled for curative surgery and aged >60 years. Methods The outcomes considered were the OS and CSS of surgery. Primary associated factors included frailty defined as a Geriatric 8 score ≤14; social frailty defined as 2 or more of the following—going out less frequently, rarely visiting friends, feeling unhelpful to friends or family, living alone, and not talking with someone daily, and combinations therein [no frailty without social frailty (−/−), frailty without social frailty (+/−), no frailty with social frailty (−/+), and frailty with social frailty (+/+)]. We used the Cox proportional hazards model and the Fine and Gray proportional subdistribution hazard model adjusting for confounding factors. Results Of the 195 patients, 181 (mean age, 72.0 years) were included for analysis. The median follow-up time was 994 days. Social frailty (hazard ratio 3.10) and their combinations [6.35; frailty with social frailty (+/+) vs no frailty without social frailty (−/−)] were significant predictors of OS. Social frailty (subdistribution hazard ratio 3.23) and their combinations (7.57) were significant predictors of CSS. Conclusions and Implications Preoperative social frailty is a predictor of OS and CSS in older patients with gastrointestinal cancer. Screening for social frailty, frailty, and their combinations in older patients with cancer is important.

To examine the association of physical activity (PA) with bone health among patients with breast cancer receiving adjuvant aromatase inhibitor (AI) treatment. In this single-center observational study, we enrolled postmenopausal women with primary hormone receptor-positive breast cancer who were receiving adjuvant AI treatment. We assessed patient bone health [bone mineral density (BMD) and biomarkers of bone turnover] as main outcomes. PA was assessed using Baecke physical activity questionnaires (BPAQ) and an accelerometer. Multiple regression analysis was performed after adjustment for age, body mass index, smoking history and duration of AI treatment. For missing data, multiple imputation analysis was adapted. The mean age of the 53 enrolled patients was 67.4 ± 8.4 years. The mean duration of AI administration was 25.7 ± 18.9 months. The most frequently administered AI was anastrozole (73.6%). Although not related to BMD, PA was related to bone turnover. Serum collagen type I amino-terminal propeptide, a bone formation marker, was associated with only light PA (t = − 2.55, p = 0.015), while tartrate-resistant acid phosphatase 5b, a bone absorption marker, was associated with work index in the BPAQ subscale and light PA (t = − 2.28, p = 0.028, t = − 2.26, p = 0.031, respectively). The results for all patients were similar to those observed in the multiple imputation analysis. PA was significantly associated with bone turnover among cancer patients receiving AI treatment. Light PA and PA in the work domain were the most important factors among various PA intensities and PA domains.

OBJECTIVE Physical inactivity is recognized as a pandemic health problem. The association of pain with physical activity, particularly when measured objectively, in older adults is unclear. This study investigates the association of number of chronic musculoskeletal pain sites and pain severity with objectively measured physical activity in community-dwelling older adults. DESIGN Observational study. SETTING Community. SUBJECTS We analyzed 267 community-dwelling older adults (mean age = 75.3 years, 67.0% women). METHODS Number of chronic musculoskeletal pain sites and pain severity were measured using a self-reported questionnaire. Mean steps per day and mean minutes of light physical activity per day and moderate to vigorous physical activity per day were measured using an accelerometer. Linear regression models were applied to analyze the association of number of chronic musculoskeletal pain sites and pain severity with physical activity. RESULTS The results suggest that a higher number of chronic musculoskeletal pain sites is associated with lower step count (beta = -333.5, 95% confidence interval = -655.9 to -11.0, P