Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity.

The limited availability of calorimetry systems for estimating human energy expenditure (EE) while conducting exercise has prompted the development of wearable sensors utilizing readily accessible methods. We designed an energy expenditure estimation method which considers the energy consumed during the exercise, as well as the excess post-exercise oxygen consumption (EPOC) using machine learning algorithms. Thirty-two healthy adults (mean age = 28.2 years; 11 females) participated in 20 min of aerobic exercise sessions (low intensity = 40% of maximal oxygen uptake [VO2 max], high intensity = 70% of VO2 max). The physical characteristics, exercise intensity, and the heart rate data monitored from the beginning of the exercise sessions to where the participants' metabolic rate returned to an idle state were used in the EE estimation models. Our proposed estimation shows up to 0.976 correlation between estimated energy expenditure and ground truth (root mean square error: 0.624 kcal/min). In conclusion, our study introduces a highly accurate method for estimating human energy expenditure during exercise using wearable sensors and machine learning. The achieved correlation up to 0.976 with ground truth values underscores its potential for widespread use in fitness, healthcare, and sports performance monitoring.

Stress and Depression in Family Members of Patients with Dementia in Urban and Rural Communities: Cross-Sectional Surveys in Korea.

Background: We compared the associations of socioeconomic factors with stress and depression among family members living with a dementia patient in urban and rural areas of South Korea. Methods: Data were collected from 9,730 (4,560 urban and 5,170 rural) participants in the Korean Community Health Survey from 2014-17. The variable of interest was the presence of a cohabitating dementia patient, and the dependent variables were stress and depression. Results: Family members living with a dementia patient in rural areas had a significantly lower socioeconomic status (education, household income, marital status, and employment) than those living in urban areas (p<0.001). In addition, family members living with a dementia patient in rural areas reported statistically significantly less stress and depression than did those in urban areas after adjusting for related factors(rural stress OR=0.87, 95% CI=0.80-0.95; rural depression OR=0.75, 95% CI=0.66-0.85). Female gender and a low family income were associated with stress and depression in both rural and urban areas. Age, educational attainment, number of family members, marital status, and employment status differed slightly between urban and rural areas. Conclusion: The socioeconomic factors associated with stress and depression differ slightly in the rural and urban areas of South Korea.

Development of the Korean Global Physical Activity Questionnaire: reliability and validity study.

The goal of this study was to develop a Korean version of the Global Physical Activity Questionnaire (K-GPAQ) and to examine its reliability and validity. The English version of the GPAQ was translated to the Korean language (K-GPAQ) via forward-backward translation. Reliability of the K-GPAQ was evaluated using a one-week interval test-retest method with 115 individuals. Criterion-related validity of the K-GPAQ was examined with 199 participants using accelerometers. Cohen's kappa and Spearman's correlation coefficients were used to measure test-retest reliability and validity, respectively. A Bland-Altman analysis was used to assess agreement between physical activity (PA) levels measured via K-GPAQ and the accelerometer. Coefficients for the reliability of the K-GPAQ showed moderate agreement for recreational PA and slight agreement for work-related PA (Cohen's kappa: 0.60-0.67 for recreational PA and 0.30-0.38 for work-related PA and Spearman's rho: 0.27-0.47 for work-related PA and 0.53-0.70 for recreational PA). Criterion validity of the total amount of PA, as measured by the K-GPAQ and the accelerometer, showed a weak but significant correlation (r = 0.34, p < 0.01). The K-GPAQ is a reliable and valid questionnaire to measure PA although K-GPAQ overestimated PA levels.

Analysis of Hospital Volume and Factors Influencing Economic Outcomes in Cancer Surgery: Results from a Population-based Study in Korea.

OBJECTIVES: To evaluate associations between hospital volume, costs, and length of stay (LOS), and clinical and demographic outcome factors for five types of cancer resection. The main dependent variables were cost and LOS; the primary independent variable was volume. METHODS: Data were obtained from claims submitted to the Korean National Health Insurance scheme. We identified patients who underwent the following surgical procedures: pneumonectomy, colectomy, mastectomy, cystectomy, and esophagectomy. Hospital volumes were divided into quartiles. RESULTS: Independent predictors of high costs and long LOS included old age, low health insurance contribution, non-metropolitan residents, emergency admission, Charlson score > 2, public hospital ownership, and teaching hospitals. After adjusting for relevant factors, there was an inverse relationship between volume and costs/LOS. The highest volume hospitals had the lowest procedure costs and LOS. However, this was not observed for cystectomy. CONCLUSION: Our findings suggest an association between patient and clinical factors and greater costs and LOS per surgical oncologic procedure, with the exception of cystectomy. Yet, there were no clear associations between hospitals' cost of care and risk-adjusted mortality.

Comparison of health-related quality of life between cancer survivors treated in designated cancer centers and the general public in Korea.

OBJECTIVE: We assessed health-related quality of life in cancer survivors treated in designated cancer centers when compared with the general population in Korea. METHODS: A multicenter survey was conducted from July through August 2008 using the quota-sampling approach. A general population sample was drawn from the Fourth Korean National Health and Nutrition Examination Survey, second year. We compared the multivariate-adjusted least square means of cancer patients with those of the general population to examine relationships between EuroQol five-dimensional questionnaire components and cancer sites, cancer stage and time since diagnosis. The independent variables of responses to the EuroQol five-dimensional questionnaire were evaluated using logistic regression analysis. RESULTS: Cancer patients scored significantly poorer on measures of self-care (means: stomach 1.25; lung 1.40; liver 1.27; colon 1.26; breast 1.27; cervical 1.29 vs. general 1.18), engagement in usual activities (means: stomach 1.47; lung 1.63; liver 1.45; colon 1.44; breast 1.46; cervical 1.47 vs. general 1.33) and anxiety/depression (means: stomach 1.41; lung 1.50; liver 1.41; colon 1.42; breast 1.50; cervical 1.47 vs. general 1.28). Those in the local stage scored significantly better on mobility (mean = 1.35) than the general population (mean = 1.40). Cancer patients, especially those with lung cancer, in the advanced stage and more than 5 years since diagnosis had poorer health-related quality of life than the general population. Some factors such as medical insurance and healthcare services were related to health-related quality of life among cancer patients. CONCLUSIONS: Health-related quality of life of cancer survivors with lung cancer at advanced stages, <1 year earlier and more than 5 years since diagnosis was poorer than that for the non-cancer control group, and these differences were statistically significant. Cancer survivors should be continuously observed and offered support.