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To compare sit-to-stand (STS) kinetics in young (YM) and older (OM) males and determine correlates of STS performance.

YM (n = 15, age = 20.7 ± 2.2 yrs) and OM (n = 15, age = 71.6 ± 3.9 yrs) performed a single STS task as quickly as possible on a force plate and the vertical ground reaction force (VGRF) signal was analyzed. Peak VGRF, as well as peak (100 ms rolling average), early (minimum VGRF to 50% peak VGRF), late (50% peak VGRF to peak VGRF), and overall (minimum VGRF to peak VGRF) rate of force development (RFD) were calculated. Power (absolute and relative) and velocity parameters as well as rate of electromyography rise (RER) were also obtained.

STS time, average power, early RFD, and lower limb lean mass were similar between groups (p > 0.05). All other power, velocity, RFD, and RER measures were lower in OM (p < 0.05; d = 0.41-2.19). Peak VGRF and all RFD measures, except late RFD, were strongly correlated with STS performance in OM, while peak VGRF and peak RFD were only moderately correlated with performance in YM.

Most kinetic variables, except absolute average power, were diminished in OM, and there was a preferential decrease in late RFD compared to early RFD. Peak VGRF and RFD exhibited stronger correlations with STS time and power in OM compared to YM, and early RFD appears to be more influential for STS performance than late RFD. These findings may be useful for practitioners/clinicians involved in designing interventions aimed at optimizing STS performance in older adults.

Most kinetic variables, except absolute average power, were diminished in OM, and there was a preferential decrease in late RFD compared to early RFD. Peak VGRF and RFD exhibited stronger correlations with STS time and power in OM compared to YM, and early RFD appears to be more influential for STS performance than late RFD. These findings may be useful for practitioners/clinicians involved in designing interventions aimed at optimizing STS performance in older adults.

Illicit drug markets and associated supply changes (including changes in availability and purity) have been studied for many years but with limited attention to how drug trafficking networks adapt to such changes and the consequences thereof the aim of this study.

A longitudinal social network analysis was applied to a high-level drug trafficking network which supplied methamphetamine and other drugs over 15 years in Melbourne, Australia (1993-2007). Data were extracted from judges' sentencing comments, a biography, and mainstream media. Five time periods were devised, and supply changes (distinguishing between law-enforcement-caused and non-law-enforcement-caused) were coded in each period. Then, the associated structural and functional changes in the network were analysed within and between periods.

Thirty-two supply changes were identified, of which 59% were law-enforcement-caused and 41% not. Temporally associated structural and functional changes included a shift from mostly international trafficking to mostly domestic manufacture (and vice versa), recruiting corrupted public officials, decentralisation, as well as changes in network density, roles, and size. Despite 32 supply changes, the network continued to sell large quantities of drugs for at least 15 years.

This research highlighted the complex adaptive nature of the illicit drug trade and its resilience to market change. Supply changes were associated with a variety of structural and functional changes in the network, some of which resulted in negative consequences such as corruption or the increased domestic manufacture of methamphetamine.

This research highlighted the complex adaptive nature of the illicit drug trade and its resilience to market change. Supply changes were associated with a variety of structural and functional changes in the network, some of which resulted in negative consequences such as corruption or the increased domestic manufacture of methamphetamine.

An outbreak of Corona Virus Disease 2019 (COVID-19) has spread rapidly reaching over 3 million of confirmed cases worldwide. The association of respiratory diseases and smoking, both highly prevalent globally, with COVID-19 severity has not been elucidated. Given the gap in the evidence and the growing prevalence of COVID-19, the objective of this study was to explore the association of underlying respiratory diseases and smoking with severe outcomes in patients with COVID-19 infection.

A systematic search was performed to identify studies reporting prevalence of respiratory diseases and/or smoking in relation with disease severity in patients with confirm COVID-19, published between January 1 to April 15, 2020 in English language. Pooled odds-ratio (OR) and 95% confidence intervals (95% CI) were calculated.

Twenty two studies met the inclusion criteria. All the studies presented data of 13,184 COVID-19 patients (55% males). Patients with severe outcomes were older and a larger percentage were males comon of severe outcomes in patients with COVID-19 infection.We examined the role of billing processes in health care utilization by exploiting a shift in provider payment from fee-for-service reimbursement towards fee-for-service direct disbursement for outpatient services in Thailand. Specifically, prior to October 2006, affected patients had to pay the full cost of outpatient treatment and subsequently received reimbursement; thereafter, these payments can be sent directly to the providers, without patients having to pay anything upfront. Gefitinib datasheet By using nationally representative micro-data and a difference-in-difference methodology, we show that the direct disbursement policy leads to an increase in outpatient utilization among the sick. This non-price change has long-lasting impacts and particularly increases the health care utilization of sick individuals who are living in rural areas, are less educated and earn low incomes. These findings suggest that direct disbursement helps to increase liquidity constraint individuals' health care utilization. The results emphasize the effectiveness of behavioural interventions in health policy making.

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