Comparison of the insertion patterns of the extensor hallucis longus muscle in Korean focusing on the regional difference.

PURPOSE: From the evolutionary myology, the additional tendon of the extensor hallucis longus (EHL) muscle represents the sample of a new acquisition. We aimed to determine whether the insertion pattern of the EHL muscle differs in Koreans according to demographic populations, especially between Jeju islanders and the Korean Peninsula inhabitants. METHODS: We used 69 Korean cadavers and classified the tendinous insertion of the EHL muscle as Pattern I, Pattern II, and Pattern III. The ratio of each Pattern in adult cadaveric samples was compared between demographic populations. RESULTS: The proportion of Pattern I, Pattern II, and Pattern III of the EHL muscle was 30.43, 63.77, and 5.80%, respectively, further divided into 18.00 vs. 36.04%, 72.00 vs. 60.47%, 10.00 vs. 3.49% in Jeju islanders vs. peninsular Koreans. There was a considerable difference in the insertion patterns of the EHL muscle in each regional group (p = 0.032), but not in each gender, age, and body sides of lower limbs. CONCLUSION: The findings of this study indicate that there was a higher incidence of the accessory tendon(s) of the EHL muscle in Koreans and the distributed insertion patterns of the EHL muscle was significantly different between Jeju islanders and peninsular Koreans.

Comorbidity of Internet gaming disorder and alcohol use disorder: A focus on clinical characteristics and gaming patterns.

BACKGROUND AND OBJECTIVES: Although Internet gaming disorder (IGD), which has been considered as a behavioral addiction in DSM-5, shares core features with alcohol use disorder (AUD), there has been minimal research on the clinical implications of the comorbidity between IGD and AUD. The purpose of this study is to investigate clinical psychopathologies and Internet game usage patterns of IGD, AUD, and their comorbid status. METHODS: Participants (n = 1819) completed a cross-sectional web-based survey. The survey questionnaire included socio-demographic data, the IGD scale according to DSM-5 criteria, the Korean version of Alcohol Use Disorders Identification Test for AUD, the Dickman Impulsivity Inventory (DII)-short version for impulsivity, the Brief Self-Control Scale (BSCS) for self-control, the subscales of the Symptom Check-List 90 Items-Revised (SCL-90-R) for depression and anxiety, and the Behavioral Inhibition System/Behavioral Approach System Scale, and the Internet game usage patterns. RESULTS: The comorbidity group had substantially more severe clinical features such as impulsivity, impaired self-control, and mood symptoms than either IGD or AUD only. Especially the depression scale for the comorbidity group (26.0) is considerably higher than 13.0 for IGD and 16.0 for AUD alone. Furthermore, the comorbidity group spent twice as much money on Internet gaming as IGD alone (all p < .05). CONCLUSIONS AND SIGNIFICANCE: The findings of this study indicate that the comorbidity between IGD with AUD showed more severe psychopathological impairments, and the respective persons spent more money on gaming than either IGD or AUD alone. These particular characteristics may serve as feasible therapeutic targets in clinical settings. (Am J Addict 2017;26:326-334).

Relationships among medication adherence, insight, and neurocognition in chronic schizophrenia.

AIMS: In order to improve long-term prognosis in schizophrenia, enhancing medication adherence is essential. The aim of this study was thus to identify the association between medication non-adherence and possible risk factors in a large sample of patients with chronic schizophrenia. METHODS: One hundred and four patients with schizophrenia with a disease duration of over 10 years were enrolled in this cross-sectional study. The subjects were assessed with the Scale to Assess Unawareness of Mental Disease-Korean version, the Korean version of the Medication Adherence Rating Scale, a neurocognition battery designed for this study, and the Positive and Negative Symptoms Scale. An anova and multiple regression models were conducted to identify the correlations among variables and the factors that contribute to medication adherence. RESULTS: The adherence score measured on the Korean version of the Medication Adherence Rating Scale was 7.60 ± 2.12; 88 (84.62%) patients were categorized as well-adherent and 16 (15.38%) as poorly adherent to their medication. Patients with good insight were more likely to maintain their medication (P = 0.0005), and better executive function was associated with increased medication adherence (P = 0.0008). Furthermore, fewer depressive symptoms were associated with good medication adherence (P = 0.0304). CONCLUSIONS: This study is the first in the Republic of Korea to identify the relationship between medication adherence, insight, and neurocognition in a large sample of patients with chronic schizophrenia. These results could be used to establish a strategy for improving the prognosis of chronic schizophrenia.

Suicidality is most centrally situated within network of depression symptom criteria in unipolar depression patients with mood stabilizer in Asia.

Lithium and mood stabilizers are considered effective augmentation agents of antidepressants for treatment-resistant depression. Thus, this study aimed to estimate the network structure of depression symptom criteria among unipolar depression patients with mood stabilizers, using data from the Research on Asian Psychotropic Prescription Patterns for mood stabilizers (REAP-MS). We estimated a network of the 9 depression symptom criteria among 411 unipolar depression patients in Asia. Each of the depression symptom criteria was considered to be a dichotomous categorical variable. Suicidality (suicidal ideation or attempt) was the most centrally situated within the network of depression symptoms, followed by depressed mood, loss of energy, anhedonia and weight loss or gain. Contrastingly, concentration problem was the least interconnected. The depression symptom criteria were organized into 4 clusters by the community detection method. The findings suggest that suicidality may be one of the significant therapeutic target symptoms in unipolar depression patients with mood stabilizers.

Acceptance and Commitment Therapy for Destructive Experiential Avoidance (ACT-DEA): A Feasibility Study.

BACKGROUND: This study is a preliminary study on an acceptance and commitment therapy (ACT) program that mitigates destructive experiential avoidance (DEA) behaviors, including self-harm behavior and addiction; Methods: Twenty participants aged 15-25 years who had confirmed DEA behavior within the last month participated in a total of six sessions of ACT. Demographic characteristics, history of psychiatric illness, and TYPES and patterns of DEA behavior were confirmed in the baseline survey. The severity of clinical symptoms, frequency of DEA behavior and impulsivity, characteristics of experiential avoidance (EA) behavior, depression, and quality of life (QOL) were measured before and after the program for comparative statistical tests using the intention-to-treat method. Furthermore, the severity of clinical symptoms was evaluated after each program, along with the frequency of DEA behavior and trends in impulsivity, which were investigated based on the behavior log; Results: After the ACT program, both the frequency of DEA behavior and impulsivity and the severity of clinical symptoms, depression, and anxiety decreased significantly. Furthermore, among the EA characteristics, pain aversion, distraction and inhibition, and delayed behavior significantly improved. Moreover, the overall QOL, psychological and social relationships, and QOL regarding the environment also improved; Conclusions: The results of this feasibility study demonstrate the potential of the ACT program as an effective intervention in DEA behavior. The results of this study may be used as preliminary data for future large-scale randomized studies.

A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.

Psychotic symptoms are rarely concurrent with the clinical manifestations of depression. Additionally, whether psychotic major depression is a subtype of major depression or a clinical syndrome distinct from non-psychotic major depression remains controversial. Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, we developed a machine-learning-algorithm-based prediction model for concurrent psychotic symptoms in patients with depressive disorders. The advantages of machine learning algorithms include the easy identification of trends and patterns, handling of multi-dimensional and multi-faceted data, and wide application. Among 1171 patients with depressive disorders, those with psychotic symptoms were characterized by significantly higher rates of depressed mood, loss of interest and enjoyment, reduced energy and diminished activity, reduced self-esteem and self-confidence, ideas of guilt and unworthiness, psychomotor agitation or retardation, disturbed sleep, diminished appetite, and greater proportions of moderate and severe degrees of depression compared to patients without psychotic symptoms. The area under the curve was 0.823. The overall accuracy was 0.931 (95% confidence interval: 0.897-0.956). Severe depression (degree of depression) was the most important variable in the prediction model, followed by diminished appetite, subthreshold (degree of depression), ideas or acts of self-harm or suicide, outpatient status, age, psychomotor retardation or agitation, and others. In conclusion, the machine-learning-based model predicted concurrent psychotic symptoms in patients with major depression in connection with the "severity psychosis" hypothesis.

Effects of various antipsychotics on driving-related cognitive performance in adults with schizophrenia.

The aim of this study was to determine whether the driving-related cognitive performance differs among adults with schizophrenia taking different types of antipsychotics. Neurocognitive performance was assessed using the Cognitive Perceptual Assessment for Driving (CPAD), a computerized battery of tests of visual perception, attention, working memory, reaction time, and inhibitory control for driving ability. One hundred and two adults with schizophrenia who were on antipsychotic monotherapy participated in the study. Of these, 15 were on haloperidol, 28 on risperidone, 14 on olanzapine, 28 on aripiprazole, and 17 on paliperidone. Sixty-four (63%) of the 102 subjects were regarded as competent to drive. Of the subjects taking haloperidol, 33% passed the CPAD, while the passing rates of subjects taking risperidone, olanzapine, aripiprazole, and paliperidone were 57%, 57%, 75%, and 82%, respectively, with a significant difference between the haloperidol and aripiprazole groups (p = 0.005) and between the haloperidol and paliperidone groups (p = 0.001). Additionally, scores on CPAD depth perception (number of correct responses), divided attention, digit span test, and trail-making test B subtests were significantly better for the aripiprazole and paliperidone groups than for the haloperidol and risperidone groups. In this cross-sectional design study, adults with schizophrenia treated with aripiprazole or paliperidone antipsychotic monotherapy demonstrated superior driving-related cognitive performance than those treated with haloperidol or risperidone antipsychotic monotherapy.

Types of problematic smartphone use based on psychiatric symptoms.

To provide appropriate solutions for problematic smartphone use, we need to first understand its types. This study aimed to identify types of problematic smartphone use based on psychiatric symptoms, using the decision tree method. We recruited 5,372 smartphone users from online surveys conducted between February 3 and February 22, 2016. Based on scores on the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale), 974 smartphone users were assigned to the smartphone-dependent group and 4398 users were assigned to the normal group. The data-mining technique of C5.0 decision tree was applied. We used 15 input variables, including demographic and psychological factors. Four psychiatric variables emerged as the most important predictors: self-control (Sc; 66%), anxiety (Anx; 25%), depression (Dep; 7%), and dysfunctional impulsivities (Imp; 3%). We identified the following five types of problematic smartphone use: (1) non-comorbid, (2) self-control, (3) Sc + Anx, (4) Sc + Anx + Dep, and (5) Sc + Anx + Dep + Imp. We found that 74% of smartphone-dependent users had psychiatric symptoms. The ratio of participants belonging to the non-comorbid and self-control types was 64%. We proposed that these types of problematic smartphone use may be used for the development of an appropriate service for controlling and preventing such behaviors in adults.

Examining Patterns of Polypharmacy in Bipolar Disorder: Findings from the REAP-BD, Korea.

Based on Korean data from the Research on Asian Psychotropic Prescription Pattern for Bipolar Disorder, this study tried to present prescription patterns in biopolar disorder (BD) and its associated clinical features. Based on the information obtained from the study with structured questions, the tendency of prescription pattern was studied and analyzed. Polypharmacy was predominant, including simple polypharmacy in 51.1% and complex polypharmacy in 34.2% of patients. Subjects associated with simple or complex polypharmacy were significantly younger, had higher inpatient settings, a larger portion of onset with manic episode, a shorter duration of untreated illness, a shorter duration of current episode, were more overweight, used less antidepressants and used more anxiolytics. These findings can suggest higher polypharmacy rate in more severe BD and highlight the necessity of monitoring the weight of subjects with polypharmacy.

The influence of game genre on Internet gaming disorder.

Background and aims Although Internet gaming disorder (IGD) has been investigated in detail, minimal research has been conducted regarding the influence of different game genres on IGD. The aim of this study is to compare the characteristics of members of game genre-specific groups with IGD and to identify factors associated with IGD status in each group in a large sample of adults. Methods Internet games were categorized into four genres: real-time strategy games, massive multiplayer online role-playing games (MMORPG), sport games, and first-person shooter (FPS) games. Participants (n = 2,923) who usually played one of these games completed an anonymous online survey that collected sociodemographic, game usage pattern, and psychopathological assessment data. Results MMORPG and FPS game players more frequently met the criteria for IGD than participants in the other two groups. Differences between the IGD-suspected gamers within the genre-specific groups were observed for a few items, such as average game-playing time and the subscales of the behavioral activation system; however, the factors that contributed to the development of IGD within each game genre-specific group were found to be considerably different. Discussion and conclusions The findings of this study suggest that IGD is a stable psychiatric diagnosis encompassing users of a broad range of game genres. In addition, the development of strategies for the prevention of and early intervention on individuals at high risk for developing IGD may require consideration of the distinct characteristics identified as effective predictors of IGD in users of each game genre.