Epitheliotropic cutaneous lymphoma (mycosis fungoides) in a dog

A seven-year-old castrated male Yorkshire terrier dog was presented for a recurrent skin disease. Erythematous skin during the first visit progressed from multiple plaques to patch lesions and exudative erosion in the oral mucosa membrane. Biopsy samples were taken from erythematous skin and were diagnosed with epitheliotropic T cell cutaneous lymphoma by histopathology and immunochemical stain. In serum chemistry, the dog had a hypercalcemia (15.7 mg/dl) and mild increased alkaline phosphatase (417 U/l). Immunohistochemistry was performed to detect parathyroid hormone-related peptide (PTH-rP) in epitheliotropic cutaneous lymphoma tissues but the neoplastic cells were not labeled with anti-PTH-rP antibodies. The patient was treated with prednisolone and isotretinoin. However, the dog died unexpectedly

The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents

Background: Potential concerns are increasing that smartphone and Internet addictions may have deleterious effects on the mental health. Despite the recognition of the important role that implicit associations may have over explicit processes in addiction, such implicit associations have not been comprehensively investigated with respect to Internet addiction. Therefore, we modified the Implicit Association Test (IAT) for smartphone and Internet addictions and investigated its validity in children and adolescents. Methods: In this experimental study, 78 at-risk children and adolescents ranging in age from 7 to 17 years completed an IAT modified with pictures captured from the most popular Internet games among youth. Furthermore, measures of Internet and smartphone addictions, mental health and problem behaviors, impulsive tendencies, self-esteem, daily stress, and quality of life were assessed simultaneously. Results: Significant correlations were found between IAT D2SD scores and standardized scales for Internet (r = .28, p < .05) and smartphone (r = .33, p < .01) addictions. There were no significant correlations between IAT parameters and other scales measuring the constructs that are less relevant to the features of addiction, such as daily stress levels, impulsivity, and quality of life. Multiple regression analysis revealed that the IAT D2SD was independently and positively associated with smartphone addiction (p = .03) after controlling for other clinical correlates. Conclusions: This study demonstrated good convergent and discriminant validity of this IAT as a novel measurement relating to Internet and smartphone addictions. Further longitudinal and prospective studies are needed to evaluate its potential utility in clinical and community settings

Relationship between Environmental Phthalate Exposure and the Intelligence of School-Age Children

BACKGROUND: Concern over phthalates has emerged because of their potential toxicity to humans. OBJECTIVE: We investigated the relationship between the urinary concentrations of phthalate metabolites and children`s intellectual functioning. METHODS: This study enrolled 667 children at nine elementary schools in five South Korean cities. A cross-sectional examination of urine phthalate concentrations was performed, and scores on neuro-psychological tests were obtained from both the children and their mothers. RESULTS: We measured mono-2-ethylhexyl phthalate (MEHP) and mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), both metabolites of di(2-ethylhexyl)phthalate (DEHP), and mono-n-butyl phthalate (MBP), a metabolite of dibutyl phthalate (DBP), in urine samples. The geometric mean (ln) concentrations of MEHP, MEOHP, and MBP were 21.3 mu g/L [geometric SD (GSD) = 2.2 mu g/L; range, 0.5-445.4], 18.0 mu g/L (GSD = 2.4; range, 0.07-291.1), and 48.9 mu g/L (GSD = 2.2; range, 2.1-1645.5), respectively. After adjusting for demographic and developmental covariates, the Full Scale IQ and Verbal IQ scores were negatively associated with DEHP metabolites but not with DBP metabolites. We also found a significant negative relationship between the urine concentrations of the metabolites of DEHP and DBP and children`s vocabulary subscores. After controlling for maternal IQ, a significant inverse relationship between DEHP metabolites and vocabulary subscale score remained. Among boys, we found a negative association between increasing MEHP phthalate concentrations and the sum of DEHP metabolite concentrations and Wechsler Intelligence Scale for Children vocabulary score; however, among girls, we found no significant association between these variables. CONCLUSION: Controlling for maternal IQ and other covariates, the results show an inverse relationship between phthalate metabolites and IQ scores; however, given the limitations in cross-sectional epidemiology, prospective studies are needed to fully explore these associations.This work was funded by the Eco-Technopia 21 project of Korea Institute of Environmental Science and Technology (091-081-059).Cho SC, 2010, J CHILD PSYCHOL PSYC, V51, P1050, DOI 10.1111/j.1469-7610.2010.02250.xKim BN, 2009, BIOL PSYCHIAT, V66, P958, DOI 10.1016/j.biopsych.2009.07.034Tanida T, 2009, TOXICOL LETT, V189, P40, DOI 10.1016/j.toxlet.2009.04.005Ghisari M, 2009, TOXICOL LETT, V189, P67, DOI 10.1016/j.toxlet.2009.05.004Barnett JH, 2009, AM J PSYCHIAT, V166, P909, DOI 10.1176/appi.ajp.2009.08081251Kim Y, 2009, NEUROTOXICOLOGY, V30, P564, DOI 10.1016/j.neuro.2009.03.012Engel SM, 2009, NEUROTOXICOLOGY, V30, P522, DOI 10.1016/j.neuro.2009.04.001Kamrin MA, 2009, J TOXICOL ENV HEAL B, V12, P157, DOI 10.1080/10937400902729226Brown JS, 2009, SCHIZOPHRENIA BULL, V35, P256, DOI 10.1093/schbul/sbm147Bellinger DC, 2008, NEUROTOXICOLOGY, V29, P828, DOI 10.1016/j.neuro.2008.04.005Wolff MS, 2008, ENVIRON HEALTH PERSP, V116, P1092, DOI 10.1289/ehp.11007van Neerven S, 2008, PROG NEUROBIOL, V85, P433, DOI 10.1016/j.pneurobio.2008.04.006Hatch EE, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-27Zevalkink J, 2008, J GENET PSYCHOL, V169, P72Kolarik B, 2008, ENVIRON HEALTH PERSP, V116, P98, DOI 10.1289/ehp.10498SATHYANARAYANA S, 2008, CURR PROBL PEDIAT AD, V38, P34KHO YL, 2008, J ENV HLTH SCI, V34, P271Huang PC, 2007, HUM REPROD, V22, P2715, DOI 10.1093/humrep/dem205Janjua NR, 2007, ENVIRON SCI TECHNOL, V41, P5564, DOI 10.1021/es0628755Meeker JD, 2007, ENVIRON HEALTH PERSP, V115, P1029, DOI 10.1289/ehp.9852Fromme H, 2007, INT J HYG ENVIR HEAL, V210, P21, DOI 10.1016/j.ijheh.2006.09.005Xu Y, 2007, ARCH TOXICOL, V81, P57, DOI 10.1007/s00204-006-0143-8Pereira C, 2007, ACTA HISTOCHEM, V109, P29, DOI 10.1016/j.acthis.2006.09.008Hauser R, 2006, EPIDEMIOLOGY, V17, P682, DOI 10.1097/01.ede.0000235996.89953.d7Zhu DF, 2006, BRAIN, V129, P2923, DOI 10.1093/brain/awl215Andrade AJM, 2006, TOXICOLOGY, V227, P185, DOI 10.1016/j.tox.2006.07.022Lottrup G, 2006, INT J ANDROL, V29, P172, DOI 10.1111/j.1365-2605.2005.00642.xBreous E, 2005, MOL CELL ENDOCRINOL, V244, P75, DOI 10.1016/j.mce.2005.06.009Wenzel A, 2005, MOL CELL ENDOCRINOL, V244, P63, DOI 10.1016/j.mce.2005.02.008Kato K, 2005, ANAL CHEM, V77, P2985, DOI 10.1021/ac0481248Tanaka T, 2005, FOOD CHEM TOXICOL, V43, P581, DOI 10.1016/j.fct.2005.01.001Duty SM, 2005, HUM REPROD, V20, P604, DOI 10.1093/humrep/deh656Kota BP, 2005, PHARMACOL RES, V51, P85, DOI 10.1016/j.phrs.2004.07.012Hays T, 2005, CARCINOGENESIS, V26, P219, DOI 10.1093/carcin/bgh285Hauser R, 2004, ENVIRON HEALTH PERSP, V112, P1734, DOI 10.1289/ehp.7212Bornehag CG, 2004, ENVIRON HEALTH PERSP, V112, P1393, DOI 10.1289/ehp.7187Ishido M, 2004, J NEUROCHEM, V91, P69, DOI 10.1111/j.1471-4159.2004.02696.xMink PJ, 2004, EPIDEMIOLOGY, V15, P385, DOI 10.1097/01.ede.0000128402.86336.7eBellinger DC, 2004, EPIDEMIOLOGY, V15, P383, DOI 10.1097/01.ede.0000129525.15064.a4Shea KM, 2003, PEDIATRICS, V111, P1467Tanaka T, 2002, FOOD CHEM TOXICOL, V40, P1499, DOI 10.1016/S0278-6915(02)00073-XHoppin JA, 2002, ENVIRON HEALTH PERSP, V110, P515SATTLER JM, 2001, ASSESSMENT CHILDRENRice D, 2000, ENVIRON HEALTH PERSP, V108, P511Bellinger DC, 2000, NEUROTOXICOL TERATOL, V22, P133LIM YR, 2000, KOR J CLIN PSYCHOL, V19, P563Braissant O, 1998, ENDOCRINOLOGY, V139, P2748Peters JM, 1997, CARCINOGENESIS, V18, P2029Baldini IM, 1997, PROG NEURO-PSYCHOPH, V21, P925Roberts RA, 1997, FUND APPL TOXICOL, V38, P107PARK KS, 1996, DEV KEDI WISC INDIVIMONZANI F, 1993, CLIN INVESTIGATOR, V71, P367SILVERSTEIN AB, 1990, J CLIN PSYCHOL, V46, P333HINTON RH, 1986, ENVIRON HEALTH PERSP, V70, P195KIM MK, 1986, SEOUL J PSYCHIAT, V11, P194KAUFMAN AS, 1976, CONTEMP EDUC PSYCHOL, V1, P1801

The First Report of Fetal Alcohol Effect in a 12 Year-Old Child in Korea

We present the first report of fetal alcohol effect in a 12 year-old child in Korea. The mother had consumed 162 g of alcohol per week continuously during pregnancy. His first febrile seizure occurred before he was 1 year old, and became more frequent 2 years later. He started showing signs of right paraplegia when he was 3.5 years old and brain MRI revealed periventricular leucomalacia near the left ventricle. He was microcephalic and his growth was retarded. He was irritable, impatient, impulsive, and inattentive, and showed disinterest in school activities and aggressive and dangerous behavior. After the diagnosis of attention deficit/hyperactivity disorder was made, psychopharmacological treatment and family support was initiated. After 10 months, he still had intermittent ideas of reference, although the aggressive behavior, inattentiveness, and impulsivity had improved. Using this case study, we stress the importance of maternal alcohol history in patients with these characteristics

Mental health literacy of Internet gaming disorder and problematic smartphone use among Korean teenagers.

The last few decades have seen an increased interest in 'Mental Health Literacy (MHL)' which addresses knowledge and beliefs relating to mental health problems and is likely to hinder treatment-seeking behaviors. Although MHL research to date has explored various mental disorders, far too little attention has been paid to Internet Gaming Disorder (IGD) and Problematic Smartphone use (PSU). The objective of this study is to develop an MHL questionnaire for IGD and PSU by adopting the MHL approach in the previous literature and examine MHL of IGD and PSU in Korean teenagers by focusing on their ability to recognize addictions, and perceptions and help-seeking attitudes towards a person with addictions. The current study also aimed to compare Korean teenagers' MHL depending on low- and high-risk of IGD and PSU. A total of 169 teenagers aged 10 and 16 years were recruited from schools and children's centers in Seoul and completed the newly developed MHL questionnaire and screening questionnaires for IGD and PSU. The MHL questionnaire for IGD and PSU was designed as a vignette-based questionnaire that depicted behavioral characteristics of a severe problem with Internet and smartphone usage. Korean teenagers had a poor ability to recognize IGD and PSU and were more prone to seek parental help than professional help. The current study also showed that teenagers had better recognition of IGD than PSU and perceived that a person with IGD has a more difficult life than a person with PSU. Furthermore, a low-risk or high-risk group of IGD or PSU showed minimal differences in MHL. The current study provided empirical evidence to support a need to develop educational programs to improve Korean teenagers' MHL for both IGD and PSU

Food Addiction and Emotional Eating Behaviors Co-Occurring with Problematic Smartphone Use in Adolescents?

Addiction in adolescence is increasing and has a significant impact on physical and mental health. Notably, addictions can be comorbid and affect each other. Despite the recent growing interest in food addiction (FA) and problematic smartphone use (PSU), few studies have investigated their association in adolescents. We investigated the relationship between FA and PSU in adolescents and the effects of eating behaviors. A total of 209 adolescents (44.5% male; mean age = 12.86 &plusmn; 0.7 years) participated in the current school-based community study. We found a positive correlation between the dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C2.0) and the Smartphone Overdependence Scale after adjusting for age, sex, body mass index, and socioeconomic status. The high-risk PSU group accounted for 17.2% of participants. Furthermore, this group showed 2.3 times higher dYFAS-C2.0 scores than the general group. Emotional overeating and satiety responsiveness were correlated with PSU. A comprehensive evaluation of addiction symptoms is needed for proper intervention, especially in adolescents with symptoms of abnormal eating behaviors