scholarly journals Distinct Patterns of Problematic Smartphone Use: A Latent Profile Analysis Among Chinese College Students

2022 ◽  
Author(s):  
Lan Hong ◽  
Xinyi Lai ◽  
Dongwu Xu ◽  
Wei Zhang ◽  
Bichang Wu ◽  
...  
Keyword(s):  
College Students ◽  
Latent Profile Analysis ◽  
Risk Group ◽  
Profile Analysis ◽  
Low Risk ◽  
Moderate Risk ◽  
Problematic Smartphone Use ◽  
Chinese College Students ◽  
Group A ◽  
Smartphone Use

Abstract Background: This study aimed to categorize different subgroups of problematic smartphone use among Chinese college students. Differences in gender and psychosocial characteristics of the categorized groups were also examined.Methods: A total of 1,123 participants completed the Mobile Phone Addiction Index Scale (MPAI), the Center for Epidemiologic Studies Depression Scale (CES-D), the Perceived Social Support Scale, and the Perceived Stress Scale. Using latent profile analysis (LPA), we identified different subgroups of problematic smartphone use among college students. Multivariate logistic regression analysis was implemented to examine the relationship between latent classes and demographic, psychosocial covariates.Results: Four latent classes were identified: a low-risk group, a moderate-risk with no evasiveness group, a moderate-risk with evasiveness group, and high-risk group that accounted for 11.0%, 24.1%, 35.5%, and 29.4% of the total sample, respectively. Further analysis revealed that compared with the “low-risk” class, the other three classes differed significantly with respect to gender and prevalence of depression.Conclusions: Classifying college students based on features of problematic smartphone use is potentially useful for understanding risk factors and developing targeted prevention and intervention programs.

Profile Analysis and Risk Assessment: Identifying Distinct Patterns of Risks and Needs

2021 ◽  
pp. 154120402110124
Author(s):  
Christopher D’Amato ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
William Miller
Keyword(s):  
Mental Health ◽  
Juvenile Justice ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Assessment System ◽  
Low Risk ◽  
Specific Intervention ◽  
Moderate Risk ◽  
Prosocial Skills ◽  
Adjudicated Youth

The goal of this study was to identify distinct and meaningful profiles of the seven criminogenic risk and need domains included on the Ohio Youth Assessment System—Disposition Tool (OYAS-DIS). This goal was accomplished by conducting a latent profile analysis (LPA) on a sample of 4,383 formally processed justice-involved youth assessed by the OYAS-DIS. The LPA determined there were six distinct profiles: (1) Low risk and need, (2) Low/moderate risk and need, (3) Low risk/need with high juvenile justice history, (4) Academic, mental health, and substance use needs, (5) Prosocial skills and decision making, and (6) High risk and need. Results may help juvenile justice practitioners to identify and address specific intervention needs of adjudicated youth.

scholarly journals Differential Risk Profiles for Reactive and Proactive Aggression

2017 ◽  
Vol 48 (2) ◽  
pp. 71-84 ◽  
Author(s):  
Janis Jung ◽  
Barbara Krahé ◽  
Robert Busching
Keyword(s):  
Risk Factors ◽  
Longitudinal Study ◽  
Latent Profile Analysis ◽  
Risk Group ◽  
Profile Analysis ◽  
Academic Failure ◽  
Social Rejection ◽  
Proactive Aggression ◽  
Group A ◽  
Reactive And Proactive Aggression

Abstract. This two-wave longitudinal study identified configurations of social rejection, affiliation with aggressive peers, and academic failure and examined their predictivity for reactive and proactive aggression in a sample of 1,479 children and adolescents aged between 9 and 19 years. Latent profile analysis yielded three configurations of risk factors, made up of a non-risk group, a risk group scoring high on measures of social rejection (SR), and a risk group scoring high on measures of affiliation with aggressive peers and academic failure (APAF). Latent path analysis revealed that, as predicted, only membership in the SR group at T1 predicted reactive aggression at T2 17 months later. By contrast, only membership in the APAF group at T1 predicted proactive aggression at T2.

scholarly journals 424: Uterocervical angle does not predict spontaneous preterm birth in either a low-risk or high-risk group: A prospective study

2018 ◽  
Vol 218 (1) ◽  
pp. S258
Author(s):  
Courtney Olson-Chen ◽  
Kam Szlachetka ◽  
Dzhamala Gilmandyar ◽  
Erica Faske ◽  
Elizabeth Fountaine ◽  
...  
Keyword(s):  
Preterm Birth ◽  
High Risk ◽  
Prospective Study ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Spontaneous Preterm Birth ◽  
Group A ◽  
A Prospective Study

Using Latent Profile Analysis to Identify Noncognitive Skill Profiles Among College Students

2016 ◽  
Vol 88 (2) ◽  
pp. 234-257 ◽  
Author(s):  
Margarita Olivera-Aguilar ◽  
Samuel H. Rikoon ◽  
Steven B. Robbins
Keyword(s):  
College Students ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Latent Profile

Abstract TP387: Abcd 2 Score Predicts The Long-term Risk Of Stroke After Transient Ischemic Attack: Fukuoka Stroke Registry

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Yasuhiro Kumai ◽  
Takuya Kiyohara ◽  
Masahiro Kamouchi ◽  
Sohei Yoshimura ◽  
Hiroshi Sugimori ◽  
...  
Keyword(s):  
High Risk ◽  
Transient Ischemic Attack ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Rank Test ◽  
Moderate Risk ◽  
Stroke Registry ◽  
Ischemic Attack

Background and Purpose— ABCD 2 score has been developed to predict the early risk of stroke after transient ischemic attack (TIA). The aim of this study was to clarify whether ABCD 2 score predicts the occurrence of stroke in the long term after TIA. Methods— Fukuoka Stroke Registry (FSR) is a multicenter epidemiological study database on acute stoke. From June 2007 to June 2011, 496 (305 males, 70 ± 13 years of age) patients who had suffered from TIA and were hospitalized in the 7 stroke centers within 7 days after the onset of TIA were enrolled in this study. The patients were divided into three groups according to the risk: low-risk (ABCD 2 score 0-3; n=72), moderate-risk (4-5; n=229) and high-risk group (6-7; n=195). They were followed up prospectively for up to 3 years. Cox proportional hazard regression model was used to elucidate whether ABCD 2 score was a predictor for stroke after TIA after adjusting for confounding factors. Results— Among three groups, there were significant differences in age, hypertension, diabetes mellitus and the decrease in estimated glomerular filtration rate (P<0.01, significantly). During a mean follow-up of 1.3 years, Kaplan-Meier analysis demonstrated that the stroke rate in TIA patients was significantly lower in low-risk group than in moderate-risk or high-risk group (log rank test, p<0.001). The adjusted hazard ratios for stroke in patients with TIA increased with moderate-risk group (Hazard ratio [HR]: 3.47, 95% CI: 1.03-21.66, P<0.05) and high-risk group (HR: 4.46, 95% CI: 1.31-27.85, P<0.05), compared to low-risk group. Conclusions— The ABCD 2 score is able to predict the long-term risk of stroke after TIA.

scholarly journals Smartphone Use and Sleep Quality in Chinese College Students: A Preliminary Study

2020 ◽  
Vol 11 ◽  
Author(s):  
Qiuping Huang ◽  
Ying Li ◽  
Shucai Huang ◽  
Jing Qi ◽  
Tianli Shao ◽  
...  
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Chinese College Students ◽  
Smartphone Use ◽  
Preliminary Study

scholarly journals Psychological Heterogeneity Among Honors College Students

2018 ◽  
Vol 41 (3) ◽  
pp. 242-272 ◽  
Author(s):  
Tracy L. Cross ◽  
Jennifer Riedl Cross ◽  
Sakhavat Mammadov ◽  
Thomas J. Ward ◽  
Kristie Speirs Neumeister ◽  
...  
Keyword(s):  
College Students ◽  
Suicidal Ideation ◽  
Big Five ◽  
Online Survey ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Residence Life ◽  
Honors College ◽  
Program Administrators ◽  
Honors College Students

Greater knowledge of the psychology of honors college students will help to inform program administrators, counselors, residence life assistants, and faculty about how they may provide support to those with the greatest need. Via an online survey, personality, perfectionism, and suicidal ideation data were collected from honors college students ( N = 410, 73% female). Using latent profile analysis, students were classified by their responses to the Big Five Inventory personality measure into five profiles. Risk factors of high perfectionism and suicidal ideation scores were found in two of the profiles, suggesting students with these personality characteristics may need enhanced psychological support. The largest profile (35% of students) had extraversion scores above the norm, but all other profiles had introverted scores below the norm. Neuroticism scores were also higher than the norm in the introverted profiles, which represented a majority of the honors college students.

Sign in / Sign up

Export Citation Format

Share Document