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

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.

2022 ◽  
Author(s):  
Lan Hong ◽  
Xinyi Lai ◽  
Dongwu Xu ◽  
Wei Zhang ◽  
Bichang Wu ◽  
...  

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.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 637-637
Author(s):  
Hyunyup Lee ◽  
Carolyn Aldwin ◽  
Sungrok Kang ◽  
Xyle Ku

Abstract We investigated the dimensional structure of mental health among aging Korean Veterans using latent profile analysis (LPA) on posttraumatic stress disorder symptoms (PTSD), late onset stress symptomology (LOSS), and psychosocial well-being (PWB). The Korean Vietnam War Veterans Study consists of 367 men (Mage=72, SD=2.66). LPA identified five classes of mental health as best fitting the data. Most men were in the normal (38%) and moderate distress (31%) groups, while smaller proportions were in the low affect (13%) and severe distress (7%) groups. The resilient group (12%) had low PTSD, medium LOSS, and high PWB, and were highest on optimism, positive appraisals of military service, and social support. Negative and positive aspects of mental health outcomes were on separate dimensions rather than on a single bipolar dimension. Service providers should attempt to both reduce Veterans’ negative psychological symptoms and increase psychosocial well-being. Part of a symposium sponsored by the Aging Veterans: Effects of Military Service across the Life Course Interest Group.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jasmina Mehulić ◽  
Željka Kamenov

The ongoing coronavirus disease-2019 (COVID-19) pandemic presents an acute stressor affecting mental health. In these stressful times, intimate relationships functioning could serve as a protective or a risk factor to the well-being of partners. Adult Croatian citizens engaged in intimate relationships (N = 727) reported their relationship characteristics and assessed symptoms of depression, anxiety, and stress during the state lockdown in May 2020. Three relationship profiles based on variations in key relationship characteristics were identified using latent profile analysis. Profiles represented distinct relationship types described as affectionate, ambivalent, and antagonistic relationships. These relationship types differed in their levels of love and perception of humility, responsiveness, and behavior of the partner. Relationship type was associated with mental health symptoms such as depression, anxiety, and stress during the COVID-19 pandemic and state lockdown. Being in an affectionate relationship was associated with the lowest levels of depression, anxiety, and stress, while in an antagonistic relationship these are in the highest levels. Ambivalent relationships were characterized by moderate levels on all measured mental health indicators with no difference in anxiety compared with affectionate relationships. The results emphasized the link between relationship functioning and successful coping with mental health hazards such as the fear of disease or restrictive measures put in place to contain the COVID-19 pandemic.


2021 ◽  
Vol 12 ◽  
Author(s):  
Katja Upadyaya ◽  
Katariina Salmela-Aro

The present study examined latent profiles of parental burnout dimensions (e.g., exhaustion in parental role, contrast with previous parental self, feelings of being fed up, and emotional distancing, measured with a shortened version of the parental burnout assessment scale) among Finnish parents of sixth and eighth grade children. In addition, the role of children’s strengths and difficulties (e.g., prosocial skills, hyperactivity, somatic problems, conduct problems, and peer problems) and parents’ growth mindset in predicting membership in the latent parental burnout profiles was examined. The participants were 1,314 parents (80% mothers) from the Helsinki Metropolitan area who filled in a questionnaire concerning their parenting burnout and child-related perceptions during the fall 2020. The results were analyzed using latent profile analysis (LPA) and three-step procedure. Three latent profiles of parental burnout were identified as: low parental burnout (85.7% of the parents), high parental burnout (8%), and emotionally distanced (6.3%) profiles. Parents who reported their children having some challenges (e.g., hyperactivity, somatic problems, conduct problems, and peer problems) more often belonged to the high burnout or emotionally distanced profiles rather than to the low parental burnout profile. Parents whose children had high prosocial skills and who employed growth mindset more often belonged to the low parental burnout rather than to the distanced profile.


2019 ◽  
Vol 90 (4) ◽  
pp. 363-384
Author(s):  
Bon Kim ◽  
Kyungmin Kim ◽  
Jeffrey A. Burr ◽  
Gyounghae Han

This study identified profiles of health behaviors among Korean baby boomers and examined a set of individual characteristics associated with these latent profiles. We analyzed a sample of 4,047 middle-aged adults (aged 53–61) from the Korean Baby Boomer Panel Study (2014). Latent profile analysis was used to uncover distinct health behavior profiles, and multinomial regression was performed to investigate the associations between health behavior profiles and predisposing, enabling, and need factors—following from the behavioral models of health behaviors and health services use. Five profiles of health behaviors were identified: (a) low-risk and high-preventive behaviors (50%), (b) low-risk and low-preventive behaviors (35%), (c) moderate-risk and moderate-preventive behaviors (7%), (d) moderate-risk and high-preventive behaviors (6%), and (e) high-risk and low-preventive behaviors (2%). Further, individuals with more enabling and need characteristics, indicated by higher socioeconomic status and greater health concerns, were more likely to engage in healthier profiles.


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