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ABSTRACT: The primary aim of this study was to investigate the acute impact of methylphenidate (MPH) on sleep parameters in attention-deficit/hyperactivity disorder (ADHD) children. The second aim was to investigate the different effects of intermediate- and longacting MPH on sleep parameters. The third aim was to test the different effects of dose and age on sleep parameters.
Ninety-three ADHD children were enrolled and randomized to two different MPH preparations. Baseline and daily sleep diaries were evaluated for four weeks after taking medication. Weekday and weekend bedtimes, wake-up times, sleep latencies and total sleep times were compared by weeks.
After taking MPH, there was a significant delay in bedtimes and a significant reduction of total sleep time (TST) both on weekdays and at weekends. There was also a significant delay in wake-up time on weekdays. However, the difference was applied to younger age group children only. There was no difference in changes of TST between metadate-CD and OROS-MPH. There also was no difference in changes of TST with different doses of MPH.
MPH had negative impacts on sleep among young ADHD children, but different preparations and doses did not affect the result.
Psychiatry investigation 12/2012; 9(4):384-90. · 0.99 Impact Factor
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ABSTRACT: Several studies have reported on catatonia caused by the use of antipsychotic drugs and on the association between catatonia and neuroleptic malignant syndrome (NMS), but none has reported such a case in Korea. Here, we report the case of a 20-year-old woman whose catatonia and NMS appeared associated with the administration of an atypical antipsychotic drug. We discuss the association between NMS and catatonia due to neuroleptic use.
Psychiatry investigation 06/2011; 8(2):174-7. · 0.99 Impact Factor
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ABSTRACT: We investigated executive functions (EFs), as evaluated by the Wisconsin Card Sorting Test (WCST), and other EF between lower grades (LG) and higher grades (HG) in elementary-school-age attention deficit hyperactivity disorder (ADHD) children.
We classified a sample of 112 ADHD children into 4 groups (composed of 28 each) based on age (LG vs. HG) and WCST performance [lower vs. higher performance on WCST, defined by the number of completed categories (CC)] Participants in each group were matched according to age, gender, ADHD subtype, and intelligence. We used the Wechsler intelligence Scale for Children 3rd edition to test intelligence and the Computerized Neurocognitive Function Test-IV, which included the WCST, to test EF.
Comparisons of EFs scores in LG ADHD children showed statistically significant differences in performing digit spans backward, some verbal learning scores, including all memory scores, and Stroop test scores. However, comparisons of EF scores in HG ADHD children did not show any statistically significant differences. Correlation analyses of the CC and EF variables and stepwise multiple regression analysis in LG ADHD children showed a combination of the backward form of the Digit span test and Visual span test in lower-performance ADHD participants significantly predicted the number of CC (R(2)=0.273, p<0.001).
This study suggests that the design of any battery of neuropsychological tests for measuring EF in ADHD children should first consider age before interpreting developmental variations and neuropsychological test results. Researchers should consider the dynamics of relationships within EF, as measured by neuropsychological tests.
Psychiatry investigation 09/2010; 7(3):177-88. · 0.99 Impact Factor
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ABSTRACT: This study aimed to evaluate children's bedtime, wake-up time, total sleep duration (TSD), sleep latency, and daytime napping by age and gender. Its secondary aim was to compare sleep duration among demographic and lifestyle factors.
We performed a cross-sectional study of 3639 children in Daegu, Korea, comparing bedtimes, wake-up times, TSDs, daytime naps, and sleep latency according to age and gender, as well as comparing sleep duration according to the children's demographic and lifestyle factors.
Bedtime and TSD varied significantly by age. But wake-up time differences were not as large, as the differences in bedtimes and TSDs. There were no gender differences in any sleep parameters. The percentage of the children who took naps decreased until age 9 and began increasing again at age 10. Children who lived in apartments got less sleep than did those living in other types of housing. Extracurricular academic activities, duration and timing of television-watching, and computer playing were also related to the children's sleep duration.
Older children sleep less than younger children; the main reason is late bedtimes. Late bedtimes may be due to socio-cultural factors, high levels of nighttime and recreational activities, and/or excessive academic activities.
Sleep Medicine 06/2010; 11(6):569-75. · 3.40 Impact Factor
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ABSTRACT: The purpose of this study was to assess memory dysfunction in patients with mild and moderate traumatic brain injury (TBI) with and without frontal lobe injury (FLI).
The subjects were 110 TBI patients, who had recovered from the acute clinical phase, and comprised 20 (18.2%) mild TBI (MTBI) patients with FLI, 16 (14.5%) MTBI patients without FLI, 51 (46.4%) moderate TBI (MOTBI) patients with FLI and 23 (20.9%) MTBI patients without FLI. All patients were administrated the Korean version of the Memory Assessment Scale (K-MAS).
Almost all the Summary Scale scores on the K-MAS failed to show any differences between TBI patients with and without FLI, but differences did emerge by types at severities. TBI patients with FLI showed higher Global Memory ability than TBI patients without FLI if their TBI was only mild, but when their TBI was more severe, this finding was reversed, and TBI patients with FLI showed lower Verbal and Global Memory abilities than TBI patients without FLI.
Different kinds of assessment tools are needed for the measurement of memory abilities in TBI patients with FLI, and that the selection of the appropriate tool depends on the severity of the TBI.
Journal of Korean Neurosurgical Society 11/2009; 46(5):459-67. · 0.60 Impact Factor
