The effect of proprioceptive neuromuscular facilitation on functional skills, muscle strength, and trunk control in children with cerebral palsy: A randomized controlled trial.

BACKGROUND: Proprioceptive neuromuscular facilitation (PNF) is generally used for the lower limbs in children with Cerebral Palsy (CP). This study aimed to determine the effect of PNF and Neurodevelopmental Therapy (NDT) on functional abilities, muscle strength, and trunk control in children with CP. METHODS: Thirty spastic CP children classified as either level I-II in the Gross Motor Function Classification System (GMFCS) or level I-II in the Manual Ability Classification System (MACS) were included. The PNF (n = 15) and the NDT group (n = 15) had physiotherapy for six weeks. The ABILHAND-Kids scale, the Purdue Pegboard Test (PBPT), the Nine-Hole Peg Test (9-HPT), and the Jebson-Taylor Hand Function Test (JTHFT) were employed. Pinch meters, Jamar handheld dynamometers, and digital muscular strength assessments were used. RESULTS: The PNF group increased shoulder flexion (p < 0.05), adduction (p < 0.05), elevation (p < 0.05), scapular abduction (p < 0.05), elbow extension (right) (p < 0.05), grip (p < 0.05), and pinch strengths (left p < 0.05, right p < 0.05). The PNF group had significantly lower 9-HPT (p < 0.05), JTHFT (card turning), JTHFT (simulated feeding), JTHFT (lifting light cans), and JTHFT (lifting weight cans) durations (p < 0.05), and significantly higher PBPT (right-left) PBPT (bimanual), PBPT (assembly). (p < 0.05), ABILHAND (p < 0.05), and TCMS total scores (p < 0.001). While JTHFT (simulated feeding-left), JTHFT (stacking checkers-left), JTHFT (lifting light cans-left), and JTHFT (lifting weight cans-right/left) (p < 0.05) durations decreased in the NDT group, PBPT (right) (p < 0.05) had an increase in duration. CONCLUSION: PNF improves trunk control, upper extremity functional skills, selective proximal muscle strength, and distal upper extremity muscle and grip strength.

The impact of COVID-19 pandemic on sleep quality in healthcare workers in Turkey.

Background: The COVID-19 pandemic has caused serious concerns and psychological distress globally. Healthcare workers remain one of the most affected groups due to life threatening risks in addition to increased working hours and labor intensity. All these factors may affect sleep quality of this population. The aim of this study is to evaluate the sleep behaviors of healthcare professionals working in secondary and tertiary hospitals in a large population in Turkey and to show how sleep quality is affected during the pandemic process using the easily applicable Jenkins Sleep Scale (JSS). The population of this cross-sectional descriptive study consists of two pandemic hospitals determined in Kahramanmaras province. In our questionnaire, we asked subjective sleep quality, sleep time, time to fall asleep, total sleep time, and medication use. We also used JSS Turkish version (JSS-TR) to assess sleep quality and the Epworth Sleepiness Scale (ESS) for increased daytime sleepiness. Results: Healthcare workers who participated in our survey reported that they started to go to bed later, fell asleep later (mean: 41.75 ± 35.35 min), their total sleep time (mean: 6.67 ± 1.88 h) was shortened, and they needed medication to sleep more (5.7%) after the COVID-19 pandemic. During the COVID-19 pandemic, bedtime behavior after 24:00 decreased from 80.1 to 43.9% of those who previously went to bed before 24:00. For those who went to bed after 24:00 before, it increased from 19.9 to 56.1%. In addition, sleep quality as assessed by subjective and JSS significantly deteriorated after the COVID-19 pandemic. Excessive daytime sleepiness increased. Those with ESS > 10 before and after COVID-19 were 3.9% and 14.1%, respectively (p < 0.001). Conclusions: The COVID-19 pandemic has significantly adversely affected the sleep behavior and sleep quality of healthcare professionals. The JSS is an easily applicable scale for assessing sleep quality in large population studies.

The REM-sleep-related characteristics of narcolepsy: a nation-wide multicenter study in Turkey, the REMCON study.

INTRODUCTION: Narcolepsy type 1 (NT1) is caused by hypocretin deficiency, the pathophysiology of narcolepsy type 2 (NT2) has not been delineated. Except for the hypocretin deficiency and cataplexy, all clinical and laboratory features used in the diagnosis of NT2 are identical to those used for NT1. The aim of this study was to assess the rapid eye movement (REM) sleep-related characteristics in the patients with narcolepsy; the characteristics of REM sleep in polysomnography (PSG) and multiple sleep latency test (MSLT) recordings, the quantification of REM sleep without atonia (RSWA) and atonia index, and the analysis of rapid eye movements (REMs) during REM sleep. MATERIALS AND METHODS: This study was planned by the Sleep Medicine Study Group of the Turkish Neurology Society, and conducted in 11 centers in eight cities in Turkey. The analysis of RSWA was analyzed by reviewing all REM sleep periods on nocturnal PSG and MSLT recordings per standard criteria. The total duration of the increased muscle tone during REM sleep in the chin and bilateral leg electromyography (EMG) recordings was calculated as RSWA index. The REMs index was also investigated the relation to the RSWA. RESULTS: A total of 274 patients were involved; 147 patients (53.6%) were males and 127 patients (46.4%) were females; the mean age was 29.1 ± 12.0 years. The diagnosis of NT1 was made in 166 patients (60.6%), and 108 patients (39.4%) were diagnosed as having NT2. The mean Epworth sleepiness scale score was significantly higher in patients with NT1 than the patients with NT2 (P = 0.001). The diagnosis of REM sleep behavior disorder (RBD) was made in 19.3% of the patients with NT1 versus in 2.8% of the patients with NT2 (P < 0.001). The percentage of SOREMP in PSG recordings was significantly higher in patients with NT1 (37.1%) than those with NT2 (18.9%, P = 0.001). MSLT showed that the mean sleep latency was shorter in patients with NT1 compared to those with NT2 (P < 0.001). The total duration of REMs on electrooculography recordings was also significantly higher in patients with RSWA in comparison with the patients without RSWA (P = 0.002). Total duration of REMs was significantly and positively correlated with the duration of RSWA on chin-EMG and leg-EMG recordings (P = 0.001). ROC analyses showed an RSWA index of ≥2% for the RSWA on chin-EMG with a sensitivity of 86.7% and a specificity of 71.3% (P < 0.001). The REMs index ≥20% was associated with the presence of RSWA with a sensitivity of 70.0% and a specificity of 57.1% (P = 0.008). CONCLUSIONS: In this nation-wide study, we identified for the first time that the increase in REMs density during REM sleep may be a major correlate of the RSWA. Significant positive correlations were demonstrated between the total duration of REMs on electrooculography recordings and the mean durations of RSWA in both chin and leg EMG recordings. A REMs index of >20% was demonstrated to have a moderate sensitivity and specificity in the diagnosis of RSWA. As observed in chin RSWA index, REMs index also showed a significantly high association with RBD, in comparison to RSWA per standard criteria.