scholarly journals School Refusal Behaviour Profiles and Academic Self-Attributions in Language and Literature

2021 ◽  
Vol 13 (13) ◽  
pp. 7512
Author(s):  
Carolina Gonzálvez ◽  
Mariola Giménez-Miralles ◽  
María Vicent ◽  
Ricardo Sanmartín ◽  
María José Quiles ◽  
...  
Keyword(s):  
Attributional Style ◽  
Social Adjustment ◽  
Positive Reinforcement ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Functional Model ◽  
School Refusal ◽  
Attributional Styles ◽  
Language And Literature ◽  
The Relationship

School refusal behaviour has a major impact on the lives of children and adolescents, seriously affecting their personal, academic and social adjustment. The objectives of this research were: (1) to identify, using latent profile analysis, school refusal behaviour profiles based on the functional model and (2) to analyse the relationship between the identified school refusal behaviour profiles and academic self-attributions in language and literature. The School Refusal Assessment Scale-Revised (SRAS-R) and the Sydney Attribution Scale (SAS) were administered to 926 Spanish students (51% boys) aged 8 to 11 (M = 9.57; SD = 1.07). Four school refusal behaviour profiles were obtained: low school refusal behaviour, school refusal behaviour by positive reinforcement, mixed school refusal behaviour and high mixed school refusal behaviour. School refuser profiles, characterised by high scores on the first three factors of the SRAS-R (high mixed and mixed school refusal behaviour profiles), reported higher scores on an academic self-attributional style, in which they associate their failures with a lack of ability and effort. Results are discussed, considering the relationship between school refusal behaviour and unsuitable attributional styles in language and literature. Promoting effective coping skills to deal with school failure situations will seek to improve, as far as possible, the needs of all students contributing to a healthy learning environment.

Mindfulness, self-reported health, and cortisol: A latent profile analysis

2020 ◽  
pp. 135910532093118
Author(s):  
Stephen M Leach ◽  
Amanda M Mitchell ◽  
Paul Salmon ◽  
Sandra E Sephton
Keyword(s):  
Physical Health ◽  
Undergraduate Students ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Cortisol Response ◽  
Future Directions ◽  
Reported Health ◽  
The Relationship ◽  
Mental And Physical Health ◽  
Latent Profile

This study utilized a latent profile analysis approach to examine the relationship between mindfulness profiles and self-reported mental and physical health, as well as salivary cortisol levels in a sample of 85 undergraduate students. Consistent with theory, the Judgmentally Observing (high monitoring, low acceptance) reported poorer mental health and exhibited flatter diurnal cortisol slopes than the Unobservant Accepting (low monitoring, high acceptance) and Average Mindfulness profiles. No differences in self-reported physical health, cortisol response to awakening, or diurnal mean cortisol were observed among the profiles. Future directions are discussed.

scholarly journals Affective Profiles and Anxiety or Non-Anxiety-Related Reasons for School Refusal Behavior: Latent Profile Analysis in Spanish Adolescents

2021 ◽  
Vol 12 ◽  
Author(s):  
Carolina Gonzálvez ◽  
Ángela Díaz-Herrero ◽  
María Vicent ◽  
Ricardo Sanmartín ◽  
Aitana Fernández-Sogorb ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
School Attendance ◽  
Profile Analysis ◽  
Short Form ◽  
School Refusal ◽  
The Self ◽  
Average Score ◽  
School Refusal Behavior ◽  
Two Factors ◽  
Latent Profile

Little has been studied on the relationship between affect and school problems related with attendance. This study aims to identify different affective profiles and to determine whether these profiles differ from each other based on the four functional conditions of school refusal behavior. Participants comprised 1,816 Spanish adolescents aged 15–18 years (M = 16.39; SD = 1.05). The Positive and Negative Affect Schedule for Children-Short Form and the School Refusal Assessment Scale-Revised for Children (SRAS-R-C) were administered. Latent profile analysis revealed five affective profiles: low affective profile, self-fulfilling profile, low positive affect profile, self-destructive profile, and high affective profile. The self-destructive profile revealed the highest average scores in the first three factors of the SRAS-R-C, whereas the high affective profile reached the highest average score in the fourth factor. On the contrary, the self-fulfilling profile obtained the lowest average scores in the first two factors of the SRAS-R-C, whereas the low affective profile revealed the lowest average scores in the last two factors. Findings suggest the relevance of developing more adaptative affective profiles, such as the self-fulfilling profile, which would contribute to diminishing school attendance problems.

scholarly journals Smoking and Physical Activity Trajectories from Childhood to Midlife

2019 ◽  
Vol 16 (6) ◽  
pp. 974 ◽  
Author(s):  
Kasper Salin ◽  
Anna Kankaanpää ◽  
Mirja Hirvensalo ◽  
Irinja Lounassalo ◽  
Xiaolin Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Finnish Population ◽  
Multinomial Logistic Regression Analysis ◽  
Males And Females ◽  
The Relationship ◽  
Substantial Interest

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

scholarly journals Testing the Functional Profiles of School Refusal Behavior and Clarifying Their Relationship With School Anxiety

2020 ◽  
Vol 8 ◽  
Author(s):  
Carolina Gonzálvez ◽  
Ángela Díaz-Herrero ◽  
Ricardo Sanmartín ◽  
María Vicent ◽  
Aitana Fernández-Sogorb ◽  
...  
Keyword(s):  
High School ◽  
Positive Reinforcement ◽  
Latent Profile Analysis ◽  
School Attendance ◽  
School Refusal ◽  
Situational Factors ◽  
School Refusal Behavior ◽  
School Anxiety ◽  
Small Effect Size ◽  
Behavior Profiles

Students with school attendance problems are a diverse and heterogeneous group whose patterns of symptomatology can change over time. This study aims to identify different school refusal behavior profiles and to determine whether these profiles differ from each other based on four situational factors and three response systems of school anxiety across gender. The participants were 1,685 Spanish students (49% female) aged 15–18 years (M = 16.28; SD =0.97). The School Refusal Assessment Scale-Revised (SRAS-R) and the School Anxiety Inventory (SAI) were administered. Latent profile analysis revealed five school refusal behavior profiles: Non-School Refusal Behavior, Mixed School Refusal Behavior, School Refusal Behavior by Positive Reinforcement, Low School Refusal Behavior, and High School Refusal Behavior. The results indicated that High School Refusal Behavior and Mixed School Refusal Behavior groups were the most maladaptive profiles since it obtained the highest mean scores on school anxiety. In contrast, Non-School Refusal and School Refusal Behavior by Positive Reinforcement groups revealed the lowest scores in school anxiety. Non-significant gender-based differences were found, only girls were more represented in the mixed school refusal behavior profile in comparison with boys but with a small effect size. Findings are discussed in relation to the importance of promoting good mental health to prevent school attendance problems in adolescents and younger ages.

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