Can daily internet use time screen for problematic internet use among college students? A receiver operator characteristic curve-based multi-country study

2020 ◽  
Vol 38 ◽  
pp. 43-48
Author(s):  
Balhara Yatan Pal Singh ◽  
Swarndeep Singh ◽  
Ana Doric ◽  
Dejan Stevanovic ◽  
Rajna Knez ◽  
...  
Keyword(s):  
College Students ◽  
Internet Use ◽  
Characteristic Curve ◽  
Receiver Operator Characteristic Curve ◽  
Problematic Internet Use ◽  
Receiver Operator Characteristic ◽  
Country Study

AVALIAÇÃO DE UM INSTRUMENTO DE MENSURAÇÃO DE MORBIDADE PSÍQUICA: ESTUDO DE VALIDAÇÃO DO SELF-REPORTING QUESTIONNAIRE (SRQ-20)

1970 ◽  
Vol 34 (3) ◽  
pp. 544 ◽  
Author(s):  
Kionna Oliveira Bernardes Santos ◽  
Tânia Maria de Araújo ◽  
Paloma de Sousa Pinho ◽  
Ana Cláudia Conceição Silva
Keyword(s):  
Characteristic Curve ◽  
Receiver Operator Characteristic Curve ◽  
Clinical Interview ◽  
Receiver Operator Characteristic ◽  
Interview Schedule ◽  
Para Determinar ◽  
Self Reporting Questionnaire

O Self-Reporting Questionnaire (SRQ-20), desenvolvido pela Organização Mundial de Saúde, tem sido utilizado para mensuração de nível de suspeição de transtornos mentais em estudos brasileiros, especialmente em grupos de trabalhadores. O objetivo deste estudo foi avaliar o desempenho do SRQ-20, com base em indicadores de validade (sensibilidade, especificidade, taxa de classificação incorreta e valores preditivos), e determinar o melhor ponto de corte para classificação dos transtornos mentais comuns na população estudada. O estudo incluiu 91 indivíduos selecionados aleatoriamente de um estudo de corte transversal realizado com população residente em áreas urbanas de Feira de Santana (BA). Entrevistas clínicas, realizadas por psicólogas, utilizando o Revised Clinical Interview Schedule (CIS-R), foi adotada como padrão-ouro. Na avaliação do desempenho do SRQ-20 foram estimados indicadores de validade (sensibilidade e especificidade). A curva Receiver Operator Characteristic Curve (ROC) foi utilizada para determinar o melhor ponto de corte para classificação de suspeitos/não suspeitos. O ponto de corte de melhor desempenho foi de 6/7 para a população investigada, revelando desempenho razoável com área sob a curva de 0,789. Os resultados indicam que o SRQ-20 possui característica discriminante regular.

scholarly journals Haemoconcentration as a predictor of severity in acute pancreatitis

2016 ◽  
Vol 4 (1) ◽  
pp. 3-7
Author(s):  
Tanka Prasad Bohara ◽  
Dimindra Karki ◽  
Anuj Parajuli ◽  
Shail Rupakheti ◽  
Mukund Raj Joshi
Keyword(s):  
Acute Pancreatitis ◽  
Pearson Correlation ◽  
Characteristic Curve ◽  
Scoring Systems ◽  
Cost Effective ◽  
Receiver Operator Characteristic Curve ◽  
First Episode ◽  
P Value ◽  
Receiver Operator Characteristic ◽  
Chi Square

Background: Acute pancreatitis is usually a mild and self-limiting disease. About 25 % of patients have severe episode with mortality up to 30%. Early identification of these patients has potential advantages of aggressive treatment at intensive care unit or transfer to higher centre. Several scoring systems are available to predict severity of acute pancreatitis but are cumbersome, take 24 to 48 hours and are dependent on tests that are not universally available. Haematocrit has been used as a predictor of severity of acute pancreatitis but some have doubted its role.Objectives: To study the significance of haematocrit in prediction of severity of acute pancreatitis.Methods: Patients admitted with first episode of acute pancreatitis from February 2014 to July 2014 were included. Haematocrit at admission and 24 hours of admission were compared with severity of acute pancreatitis. Mean, analysis of variance, chi square, pearson correlation and receiver operator characteristic curve were used for statistical analysis.Results: Thirty one patients were included in the study with 16 (51.61%) male and 15 (48.4%) female. Haematocrit at 24 hours of admission was higher in severe acute pancreatitis (P value 0.003). Both haematocrit at admission and at 24 hours had positive correlation with severity of acute pancreatitis (r: 0.387; P value 0.031 and r: 0.584; P value 0.001) respectively.Area under receiver operator characteristic curve for haematocrit at admission and 24 hours were 0.713 (P value 0.175, 95% CI 0.536 - 0.889) and 0.917 (P value 0.008, 95% CI 0.813 – 1.00) respectively.Conclusion: Haematocrit is a simple, cost effective and widely available test and can predict severity of acute pancreatitis.Journal of Kathmandu Medical College, Vol. 4(1) 2015, 3-7

scholarly journals Nephelometric determination of carbohydrate deficient transferrin

1996 ◽  
Vol 42 (4) ◽  
pp. 551-557 ◽  
Author(s):  
F Schellenberg ◽  
M Martin ◽  
E Cacès ◽  
J Y Bénard ◽  
J Weill
Keyword(s):  
Sialic Acid ◽  
Characteristic Curve ◽  
Anion Exchange Chromatography ◽  
Receiver Operator Characteristic Curve ◽  
Exchange Chromatography ◽  
Treatment Center ◽  
Serum Transferrin ◽  
Receiver Operator Characteristic ◽  
Carbohydrate Deficient Transferrin

Abstract We describe a technique for measuring carbohydrate-deficient transferrin (CDT) in serum. Serum transferrin fractions are separated by anion-exchange chromatography on microcolumns. Sialic acid-deficient transferrin fractions are collected in the eluate, and transferrin is then quantified by a rate-nephelometric technique. Imprecision (CV) was 4-5% within-run and 7-9% between runs (n = 15). Comparison with an isoelectric focusing-immunofixation method for transferrin index (x) yielded y = 761x + 7, Sy/x = 39 mg/L. Assay of sera from 90 abstainers or moderate consumers of alcohol showed that 81 (90%) had CDT concentrations between 30 and 70 mg/L. Among 74 alcoholics admitted to an alcohol treatment center, 54 (73%) had CDT > 70 mg/L, i.e., the diagnostic sensitivity was 73% at a specificity of 90% (area under receiver-operator characteristic curve = 0.891).

Relationship Between Facebook Use and Problematic Internet Use Among College Students

2012 ◽  
Vol 15 (6) ◽  
pp. 324-327 ◽  
Author(s):  
Robert Kittinger ◽  
Christopher J. Correia ◽  
Jessica G. Irons
Keyword(s):  
College Students ◽  
Internet Use ◽  
Problematic Internet Use ◽  
Facebook Use

scholarly journals Hubungan antara Problematic Internet Use dengan Prokrastinasi Akademik

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Annisa Risqi Anggunani ◽  
Budi Purwanto
Keyword(s):  
College Students ◽  
Internet Use ◽  
Positive Relationship ◽  
Internet Usage ◽  
Problematic Internet Use ◽  
Additional Analysis ◽  
Academic Procrastination ◽  
The Relationship

This study aims to find out the relationship between problematic internet use (PIU) and academic procrastination in college students. This study took place in the Faculty of Psychology, Universitas Gadjah Mada with 190 students as the participants. The data were collected using Academic Procrastination Scale (APS) and Generalized Problematic Internet Use-2 (GPIUS2) that has been adapted in Bahasa. Hypothesis is analyzed using Pearson's product-moment correlation which shows that there is a positive relationship between problematic internet use and academic procrastination (r = 0,478; p = 0,000 (p<0,01). Furthermore, additional analysis shows that there is no different level in problematic internet use and academic procrastination based on gender. Other than that, there is also a no different level of academic procrastination based on the duration of internet usage in one day. Conversely, there is a different level of problematic internet use based on the duration of internet usage in one day.

scholarly journals Predictors of Spontaneous Echocardiographic Contrast Within the Left Atrial Appendage in Cardiac Computed Tomography of Patients with Atrial Fibrillation

2021 ◽  
Author(s):  
Kotaro Ouchi ◽  
Toru Sakuma ◽  
Takahiro Higuchi ◽  
Jun Yoshida ◽  
Ryosuke Narui ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Atrial Fibrillation ◽  
Left Atrial ◽  
Cardiac Ct ◽  
Left Atrial Appendage ◽  
Cardiac Computed Tomography ◽  
Characteristic Curve ◽  
Receiver Operator Characteristic Curve ◽  
Atrial Appendage ◽  
Receiver Operator Characteristic

Abstract PurposeCardiac computed tomography (CT) depiction of the relationship between spontaneous echocardiographic contrast (SEC) and findings of the left atrial appendage (LAA) has not been reported. We evaluated predictors of SEC within the LAA using findings of cardiac CT in patients with atrial fibrillation (AF).MethodsWe retrospectively analyzed cardiac CT findings of the LAA, including morphology, volume, and filling defects, of 641 patients who underwent Transesophageal echocardiography (TEE) prior to pulmonary vein isolation (PVI) from January 6, 2013 through December 16, 2019 at our institution. We investigated potential associated factors that might be predictors of SEC and computed a receiver operator characteristic,choosing a threshold value at which the likelihood of SEC could be predicted based on the LAA volume indexed for body size.ResultsSEC correlated significantly with history of persistent AF (P<0.001; odds ratio [OR], 3.74; 95% confidence interval [CI], 1.91–7.29), LAA early filling defects (P =0.003; OR, 2.83; 95% CI, 1.43–5.62), LAAFV (P<0.001; OR, 0.97; 95% CI, 0.96–0.99), and indexed LAA volume (P = 0.001; OR, 1.18; 95% CI, 1.07–1.30) of 8.04 cm3/m2 or greater (sensitivity, 75.0%; specificity, 48.7%).The addition of LAAFV to indexed LAA volume increased the area under the receiver operator characteristic curve from 0.642 to 0.724 (P< 0.001).ConclusionFindings of LAA in cardiac CT might allow the noninvasive estimation of SEC and additional information for risk stratification and management of thromboembolic events in patients with AF.

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