Personal exposure monitoring of fine and coarse particulate matter using exposure assessment models for elderly residents in Hong Kong.

This study investigated the determinants of personal exposures (PE) to coarse (PM2.5-10) and fine particulate matter (PM2.5) for elderly communities in Hong Kong. The mean PE PM2.5 and PM2.5-10 were 23.6 ± 10.8 and 13.5 ± 22.1 µg/m3, respectively during the sampling period. Approximately 76% of study subjects presented statistically significant differences between PE and ambient origin for PM2.5 compared to approximately 56% for PM2.5-10, possibly due to the coarse-size particles being more influenced by similar sources (road dust and construction dust emissions) compared to the PM2.5 particles. Individual PE to ambient (P/A) ratios for PM2.5 all exceeded unity (≥1), suggesting the dominant influences of non-ambient particles contributed towards total PE values. There were about 80% individual P/A ratios (≤1) for PM2.5-10, implying possible effective infiltration prevention of larger size particulate matter particles leading to dominant influences from the outdoor sources. The higher concentration of NO3- and SO42- in PM2.5-10 compared to PM2.5 suggests possible heterogeneous reactions of alkaline minerals leading to the formation of NO3- and SO42- in PM2.5-10 particles. The PE and ambient OC/EC ratios in PM2.5 (8.8 ± 3.3 and 10.4 ± 22.4, respectively) and in PM2.5-10 (6.0 ± 1.9 and 3.0 ± 1.1, respectively) suggest possible secondary formed OC from surrounding rural areas. Heterogeneous distributions (COD >0.2) between the PE and ambient concentrations were found for both the PM2.5 and PM2.5-10 samples. The calibration coefficient as the association between personal and surrogate exposure measure of PE to PM2.5 (0.84) was higher than PM2.5-10 (0.52). The findings further confirm that local sources were the dominant contributor to the coarse particles and these coefficients can potentially be used to estimate different PE to PM2.5 and PM2.5-10 conditions. A comprehensive understanding of the PE to determinants in coarse particles is essential to further reduce potential exposure misclassification.

Reliability, Validity, and Identification Ability of a Commercialized Waist-Attached Inertial Measurement Unit (IMU) Sensor-Based System in Fall Risk Assessment of Older People.

Falls are a prevalent cause of injury among older people. While some wearable inertial measurement unit (IMU) sensor-based systems have been widely investigated for fall risk assessment, their reliability, validity, and identification ability in community-dwelling older people remain unclear. Therefore, this study evaluated the performance of a commercially available IMU sensor-based fall risk assessment system among 20 community-dwelling older recurrent fallers (with a history of ≥2 falls in the past 12 months) and 20 community-dwelling older non-fallers (no history of falls in the past 12 months), together with applying the clinical scale of the Mini-Balance Evaluation Systems Test (Mini-BESTest). The results show that the IMU sensor-based system exhibited a significant moderate to excellent test-retest reliability (ICC = 0.838, p < 0.001), an acceptable level of internal consistency reliability (Spearman's rho = 0.471, p = 0.002), an acceptable convergent validity (Cronbach's α = 0.712), and an area under the curve (AUC) value of 0.590 for the IMU sensor-based receiver-operating characteristic (ROC) curve. The findings suggest that while the evaluated IMU sensor-based system exhibited good reliability and acceptable validity, it might not be able to fully identify the recurrent fallers and non-fallers in a community-dwelling older population. Further system optimization is still needed.

Practicing Tai Chi had lower energy metabolism than walking but similar health benefits in terms of aerobic fitness, resting energy expenditure, body composition and self-perceived physical health.

OBJECTIVE: To examine the effects of Tai Chi and walking training on aerobic fitness, resting energy expenditure (REE), body composition, and quality of life; as well as analyzing the energy metabolism during exercises, to determine which one had better advantage in improving health status. METHODS: Three hundred seventy-four middle-aged Chinese subjects who were recruited from nine geographic areas in Sha Tin were randomized into Tai Chi, walking, or control groups at area level. The 12-week (45min per day, 5days per week) Tai Chi or brisk walking training were conducted in respective intervention groups. Measures were performed at baseline and end of trial. Another 30 subjects were recruited to compare the energy metabolism between practicing Tai Chi and walking. RESULTS: The between-group difference of VO2max was 3.3ml/min/kg for Tai Chi vs. control and 3.7ml/min/kg for walking vs. control (both P<0.001). BMI, skinfold thicknesses, and SF-12 physical component scores all improved significantly compared with the control group (all P<0.01). Tai Chi had higher effect on improving REE-VO2 and REE-kilocalorie expenditure than walking. Regarding to energy metabolism test, the self-paced walking produced approximately 46% higher metabolic costs than Tai Chi. CONCLUSION: Practicing Tai Chi consumes a smaller amount of energy metabolism but similar health benefits as self-paced brisk walking.

Physical and psychosocial factors associated with health-promoting behaviors among elderly Chinese with type-2 diabetes.

This study explored how physical and psychosocial factors influenced the practice of health-promoting behaviors among elderly Chinese patients with type-2 diabetes. Individual structured interviews were conducted with 191 elderly Chinese attending an outpatient clinic in Hong Kong. Results showed that demographic and illness characteristics were unrelated to health practices. Participants were more likely to engage in health-promoting behaviors when they were physically well, valued their health, were confident of practicing the behaviors and viewed their illness as controllable by both doctors and themselves. The above factors exerted their respective main effects, instead of interaction effects, in predicting health practices.