Wang-Youn Won

Development and Validation of a Smartphone Addiction Scale (SAS)

Objective The aim of this study was to develop a self-diagnostic scale that could distinguish smartphone addicts based on the Korean self-diagnostic program for Internet addiction (K-scale) and the smartphones own features. In addition, the reliability and validity of the smartphone addiction scale (SAS) was demonstrated. Methods A total of 197 participants were selected from Nov. 2011 to Jan. 2012 to accomplish a set of questionnaires, including SAS, K-scale, modified Kimberly Young Internet addiction test (Y-scale), visual analogue scale (VAS), and substance dependence and abuse diagnosis of DSM-IV. There were 64 males and 133 females, with ages ranging from 18 to 53 years (M = 26.06; SD = 5.96). Factor analysis, internal-consistency test, t-test, ANOVA, and correlation analysis were conducted to verify the reliability and validity of SAS. Results Based on the factor analysis results, the subscale “disturbance of reality testing” was removed, and six factors were left. The internal consistency and concurrent validity of SAS were verified (Cronbachs alpha = 0.967). SAS and its subscales were significantly correlated with K-scale and Y-scale. The VAS of each factor also showed a significant correlation with each subscale. In addition, differences were found in the job (p<0.05), education (p<0.05), and self-reported smartphone addiction scores (p<0.001) in SAS. Conclusions This study developed the first scale of the smartphone addiction aspect of the diagnostic manual. This scale was proven to be relatively reliable and valid.

Chronic ethanol ingestion, type 2 diabetes mellitus, and brain-derived neurotrophic factor (BDNF) in rats.

Chronic alcohol consumption contributes to the development of type 2 diabetes mellitus (T2DM) while decreasing the level of brain-derived neurotrophic factor (BDNF). BDNF may be an important regulator of glucose metabolism, so it may be associated with an increased risk for T2DM in alcoholism. We evaluated the association of chronic heavy alcohol exposure, T2DM and BDNF level. Ten week-old type 2 diabetic OLETF rats and non-diabetic LETO rats of similar weight were used. The rats were randomized by weight into four treatment groups: (1) OLETF-Ethanol (O-E, n=13), (2) OLETF-Control (O-C, n=15), (3) LETO-Ethanol (L-E, n=11), and (4) LETO-Control (L-C, n=14). The ethanol groups were fed an isocaloric liquid diet containing ethanol while the control groups were fed with the same diet containing maltose-dextran over a 6-week period using a pair-feeding control model in order to regulate different caloric ingestion. After 6 weeks of feeding, an Intraperitoneal Glucose Tolerance Test (IP-GTT) was performed and BDNF levels were analyzed. Prior to IP-GTT, the mean glucose levels in the O-E, O-C, L-E, and L-C groups were 90.38±12.84, 102.13±5.04, 95.18±6.43, and 102.36±4.43mg/dL, respectively. Thirty minutes after intraperitoneal injection, the mean glucose levels were 262.62±63.77, 229.07±51.30, 163.45±26.63, and 156.64±34.42mg/dL, respectively; the increased amount of the mean glucose level in the O-E group was significantly higher than that in the O-C group (p<0.05). One hundred twenty minutes after intraperitoneal injection, the mean glucose levels were 167.38±45.37, 121.20±18.54, 106.73±6.94, and 104.57±9.49mg/dL, respectively; the increased amount of the mean glucose level in the O-E group was significantly higher than that in the O-C group (p<0.01). The difference in mean glucose levels between the O-E group and O-C group was still significant even after adjusting for time (p<0.05). Mean BDNF levels were 405.95±326.16, 618.23±462.15, 749.18±599.93, and 1172.00±839.17pg/mL, respectively; mean BDNF level in the O-E group was significantly lower than the L-C group (p<0.05). In conclusion, the results of the present study suggest that chronic heavy alcohol ingestion may aggravate T2DM and may possibly lower BDNF level.

Changes of Plasma Adiponectin Levels after Smoking Cessation

Objective Cigarette smoking is associated with a variety of health problems including cardiovascular, pulmonary, neoplasms, endocrinopathies including diabetes, the metabolic syndrome, and chronic inflammation. Adiponectin is an adipocyte-derived plasma protein that is closely associated with insulin sensitivity and the metabolic syndrome. The aim of this study was to evaluate the changes of plasma adiponectin levels after smoking cessation. Methods Thirty seven smokers that wanted to stop smoking without any nicotine replacement therapy or medication were recruited for this study. Fifteen smokers succeeded in stopping smoking (validated by urine cotinine levels ≤50 ng/mL) and 22 smokers failed. Therefore, only the 15 that succeeded were included in the analysis. The plasma adiponectin levels were determined using a commercially available enzyme-linked immunosorbent assay. Results The mean age of the successful 15 was 35±9.3 years old. They were all males. The daily smoking habit was a mean of 13.5±5.4 cigarettes per day. The mean Nicotine Dependence Syndrome Scale (NDSS) and Fagerstrom Test for Nicotine Dependence (FTND) scores were 55.6±9.6 and 2.9±1.9. During the study period of three months, the mean body mass index (BMI), body fat mass (BFM), waist-hip ratio (WHR) and body weight increased by 1.1 kg/m2, 3.0%, 0.02%, and 2.9 kg, respectively. The baseline mean adiponectin level in the subjects was 11.9±5.2 mg/L. The mean adiponectin levels measured at one and three months were 16.0±5.1 mg/L and 14.7±4.5 mg/L respectively. The mean plasma adiponectin levels of the successful group was significantly increased after four weeks when compared to the baseline (z=-2.401, p=0.016). However, the decrease in plasma adiponectin levels at one and three months was not statistically significant. Conclusion Even though the decrease over the next two months was not significant, these findings, the increase of plasma level of adiponectin after smoking cessation, provide preliminary data for future research on the possible mechanisms associated with smoking cessation and changes in body metabolism.

The Changes of Blood Glucose Control and Lipid Profiles after Short-Term Smoking Cessation in Healthy Males

Objective Our aim was to evaluate the changes in blood glucose control and lipid profiles after 2-months of smoking cessation in healthy males. Methods Smoking abstinence was evaluated through self-report and urine cotinine levels. 12 individuals who succeeded in quitting smoking were analyzed. Fasting values of glucose and insulin were used to estimate the β-cell activity and insulin resistance was evaluated using the Homeostasis Model Assessment (HOMA) and Quantitative Insulin Sensitivity Check Index (QUICKI). Results The data showed that the subjects had a significant increase in weight, body mass index and fasting plasma glucose levels after smoking cessation. The HOMA-Insulin Resistance and the HOMA β-cell function increased significantly (p=0.005, p=0.047 respectively). The QUICKI showed a significant decrease (p=0.005). In addition, the low-density lipoprotein cholesterol levels decreased significantly (p=0.028); however, changes in the high-density lipoprotein cholesterol, the triglyceride and total cholesterol levels were not significant (p=0.284, p=0.445 respectively). Conclusion During the initial stage of smoking abstinence, insulin resistance increased and insulin sensitivity decreased due to elevated body weight and fat composition. Therefore, it is important to educate individuals that stop smoking about the necessity of weight control during smoking cessation programs.

The Change of Plasma Ghrelin and Leptin Levels by the Development of Type 2 Diabetes Mellitus in Patients With Alcohol Dependence

BACKGROUND There have been lots of studies about the relationship between chronic use of alcohol and the development of type 2 diabetes mellitus (T2DM). Chronic use of alcohol can be affected by the altered level of ghrelin and leptin which regulate food-seeking behavior having similar mechanism of controlling alcohol-craving behavior. Those peptides are known to be correlated with T2DM. Ghrelin and leptin also have been regarded as possible regulators of glucose metabolism and insulin function. Hence, there is the possibility that ghrelin and leptin can be related with deteriorated pathophysiology of T2DM in alcoholic patients. METHODS Patients with alcohol dependence diagnosed by Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) underwent an 75 g oral glucose-tolerance test (OGTT), to classify them to normal glucose tolerance (NGT, n = 52), pre-diabetes including impaired glucose tolerance (IGT), impaired fasting glucose level (IFG) and combination of IGT and IFG (Pre-DM, n = 26) and T2DM (n = 24) groups. Fasting plasma ghrelin and leptin levels were compared among groups. RESULTS There was no difference of ghrelin concentration among the groups but the leptin concentration was significantly different between NGT and T2DM group (p < 0.05). Increased leptin levels were significantly correlated with body mass index (BMI), insulin level, and insulin resistance. CONCLUSIONS Chronic alcohol drinking might produce leptin resistance which makes leptin significantly correlated with fasting insulin concentration and insulin resistance. Therefore, we suppose that increased level of leptin by chronic alcohol use could be one of the main mechanisms that develop insulin resistance in alcoholic patients.

Genetic Association of CHRNB3 and CHRNA6 Gene Polymorphisms with Nicotine Dependence Syndrome Scale in Korean Population

Objective Cholinergic nicotinic receptor (CHRN) gene family has been known to mediate the highly additive effects of nicotine in the body, and implicated nicotine dependence (ND) and related phenotypes. Previous studies have found that CHRNA6-CHRNB3 cluster polymorphisms were significantly associated with the risk of ND and various tobacco behaviors. The aim of study was to evaluate the genetic association of CHRNB3 and CHRNA6 polymorphisms with the risk of ND based on the Fagerstrom Test for Nicotine Dependence (FTND) score and five subscales of nicotine dependence syndrome scale (NDSS) in Korean population. Methods Six SNPs in CHRNA6-CHRNB3 cluster were analyzed in 576 Korean subjects. Association analysis using logistic models and regression analysis with NDSS were performed. Results There was no association in the case-control analysis, whereas all six SNPs were significantly associated with drive factor among NDSS in subgroup based on the FTND score. CHRNB3 rs4954 and CHRNA6 rs16891604 showed significant associations with NDSSF1 (drive) in dominant models among moderate to severe ND among smokers after correction (pcorr=0.02 and 0.001, respectively), whereas other four SNPs showed significant associations among mild ND after correction (pcorr=0.03-0.02 in dominant model). Conclusion This study showed that the genetic influence of CHRNB3-CHRNA6 cluster polymorphisms are found in a ND endophenotype (drive) using NDSS subscales, rather than the risk of ND in Korean population. Our findings might be the first report for the association of CHRNB3-CHRNA6 cluster with ND-related phenotypes in Korean and might offer an approach to elucidating the molecular mechanisms of ND and ND-related phenotypes.

CHANGE AND DIFFERENCE IN DMN FUNCTIONAL CONNECTIVITY WITH APATHY IN ALZHEIMER'S DISEASE

Victor L. L. Villemagne, Dennis Velakoulis, Vincent Dore, Svetlana Bozinovski, Colin L. Masters, Christopher C. Rowe, Mark Waterfang, Austin Health, Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Royal Melbourne Hospital & Melbourne Neuropsychiatry Centre, Melbourne, Australia; CSIRO, Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, Parkville, Australia. Contact e-mail: victorlv@ unimelb.edu.au

IMPACT OF APATHY ON DMN FUNCTIONAL CONNECTIVITY ALTERATIONS IN ALZHEIMER’S DISEASE

nounced for the animals subtest (rho1⁄4-0.385, p<0.0005 uncorrected for multiple comparisons). Testing standard blood/urine laboratory values revealed a positive correlation of MTL SUVR with HB1C (rho1⁄40.285, p1⁄40.009) and a tendency for positive correlation with the HOMA-IR insulin resistance index (rho1⁄40.207, p1⁄40.074). Pons-scaled FDG uptake in an AD-signature meta-ROI (comprising posterior cingulate / precuneus and parietotemporal cortex) showed a positive correlation with the CERADplus animals z-score (rho1⁄40.329, p1⁄40.002) but was not associated with HB1C or HOMA-IR.Conclusions:These findings suggest that hypermetabolism in the mesial temporal lobe is associated with poorer performance in some cognitive domains in hospitalized geriatric patients.

Nicotine Dependence Syndrome Scale and craving: Comparing nicotine-dependent individuals with and without comorbid alcohol dependence

Although several studies have explored craving for certain drugs, there is limited data describing the relationship between alcohol and nicotine craving from a multidimensional perspective among individuals with comorbid nicotine dependence (ND) and alcohol dependence (AD).

NEGATIVE IMPACT OF DEPRESSIVE SYMPTOMS ON FUNCTIONAL STATUS IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT

Background: Depression is a common co-morbid disorder in patients with mild cognitive impairment (MCI), however, not all patients with MCI exhibit depressive symptoms. This study aimed to investigate the effect of depression on cognitive and functional decline in MCI.Methods: Two hundred and eighty one patients with MCI (MCI) defined by 0.5 score on Clinical Dementia Rating were included in the study. Patients were divided into three groups based on their Geriatric Depression Scale (GDS) scores: MCI without depression (GDS<10, n1⁄450), MCI with mild depression (GDS10w19, n1⁄4120), and MCI with severe depression (GDS>20, n1⁄4111). Cognitive function tests (cognitive domains in CERAD-K including letter fluency, trail making test-A and B, and verbal learning test) and Blessed Dementia Scale-Activities of Daily Living (BDS-ADL) were measured. Group differences were analyzed using an analysis of variance (ANOVA). Correlation between GDS scores and BDS-ADL were analyzed. Results: An ANOVA test showed that activities of daily living differed significantly across groups (F(2, 276) 1⁄4 13.53, p<0.001). Posthoc analysis showed MCI with severe depression had a significantly higher mean BDS-ADL score compared with both MCI without depression and MCI with mild depression (both, p<0.001). Correlation analysis showed significant positive correlation between GDS and BDS-ADL (r1⁄40.366, p<0.001). However, mean scores of cognitive function tests were not different among three groups. Conclusions: The present study suggests that co-morbid depressive symptoms may have negative impact on functional status in patients with MCI. This may further suggest the importance of evaluation and treatment of depressive symptoms in patients with MCI.