ABSTRACT
Background: Sedentary behaviour increases the risks of non-communicable diseases. The objective of this trial was to evaluate the effect of the Physical Activity at Work multicomponent intervention to reduce sedentary behaviour in Thai office workers. Methods: Offices under the Ministry of Public Health Thailand, were randomly allocated to the intervention and control group in a 1:1 ratio, stratified by office size. The intervention included individual (pedometer and lottery-based financial incentives), social (group movement breaks), environmental (posters), and organisational (leader encouragement) components. At baseline and 6-month follow-up, participants wore ActiGraphTM on the waist for ten days. The primary outcome was the between-group difference in sedentary time at 6-month, analysed using a linear mixed-effects model. Other outcomes were physical activity, biomarkers, productivity, and musculoskeletal health. Trial registration: The PAW study was registered at the Thai Clinical Trials Registry (ID TCTR20200604007) on 02 June 2020. Findings: 282 office workers were recruited and randomly allocated to the control group (142 participants, nine offices) and the intervention group (140 participants, nine offices). The mean age was 38.6 years (SD = 10.4), and 81% were women. There was no evidence of intervention effects on sedentary time during waking hours (-26.8; 95% CI = -69.2 to 15.7 min), physical activity levels, or biomarkers between groups at 6-month. In the adjusted analysis, increases in time spent in moderate-to-vigorous physical activity (5.45; 95% CI = -0.15 to 11.1 min) and step count (718; 95% CI = -45 to 1481 steps) during waking hours were observed, although there was no evidence of a difference between groups. Interpretation: The intervention did not significantly reduce sedentary time in Thai office workers. Suboptimal intervention uptake due to Covid-19 pandemic restrictions and loss of statistical power associated with recruitment constraints may explain this result. Further investigations are needed to evaluate the processes of the trial. Funding: The Thai Health Promotion Foundation and the International Decision Support Initiative (iDSI).
ABSTRACT
ObjectiveTo investigate the intervention effects of fluoxetine on hypothalamic-pituitary-thyroid (HPT) axis function changes in post-stroke depression (PSD) patients.MethodsMild to moderate stroke patients were enrolled and blood T3,T4,FT3,FT4 and TSH were measured at day 0,1,7,14,21 and 3 months.At day 7,thyroid hormone releasing hormone (TRH) stimulation test were performed.After evaluated with the anxiety scale screening using the HAMD scale assessment at day 21,the subjects were divided into simple stroke subgroup ( ＜8 points,25 cases) and PSD sub-group ( ≥ 8 points,18 cases),with 16 healthy age and sex matched individuals as control group.In the 2nd stage,TRH stimulation test were performed in PSD patients before and after 7 days of fluoxetine administration.ResultsCompared with control group,stroke patients presented lower FT3 (P ＜0.05 ) and higher serum TSH (P ＜ 0.05) at day 0,1,7,14.Furthermore,PSD patients presented lower FT3,TSH levels and higher FT4 levels than simple stroke patients did(P＜0.05).At day 21 and month 3,T3,T4,FT3,FT4 and TSH levels in stroke patients were not different from those in control group(P ＞ 0.05).TRH test showed that the responses in PSD patients were lower than those in simple stroke patients( (2.65 ±0.42)μIU/ml vs (5.31 ±0.68 ) μIU/ml,P ＜ 0.05 ).Correlation analysis showed HAMD scores correlated with TSH level changes and TSH0 ～30 in PSD subgroup closely( r=0.35,0.25,P＜0.01 ).In the 2nd stage,TRH test showed that PSD patients who took fluoxetine presented a lower TSH level change than PSD patients who did not( (4.61 ± 2.02) μIU/ml vs (7.05 ± 2.12) μIU/ml,P ＜ 0.05 ).ConclusionPSD patients present a long and severe HPT axis function inhibition,which may due to TRH deficiency,and fluoxetine may improve this abnormality.
ABSTRACT
In order to further research into the EEG information of rats epileptic model, we applied different nonlinear dynamic methods. After having analyzed the EEG signal of rat falling sickness by means of approximate entropy and correlation dimension, we adopted a the new method, unstable periodic orbits, which was used to analyze complex activity of neurons system to look for the change regularity of change in the EEG signal in the whole course of rat's falling sickness. We found period 1 orbits and period 2 orbits to be statistically significant in the data of ictal time of epilepsy. At the same time, we found period 1 orbits to be statistically significant in the data of preictal time of epilepsy.
