Sara Casaña-Granell1, Laura Lacomba-Trejo1, Inmaculada Montoya-Castilla1, Marián Pérez-Marín2. 1. Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Valencia, Av. Blasco Ibánez, 21, 46010, Valencia, Spain. 2. Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Valencia, Av. Blasco Ibánez, 21, 46010, Valencia, Spain. marian.perez@uv.es.
Abstract
PURPOSE: Adolescence is a time of change when suffering from a medical condition such as short stature can impact the emotional well-being of adolescents. Our objective was to study the adjustment of adolescents with short stature (SS), analyzing the factors influencing it. METHOD: In this cross-sectional study, we evaluated 101 adolescents with SS from different hospitals in Valencia, Spain, using instruments validated for the sample: anxious and depressive symptomatology (as a diagnostic adjustment measure), psychopathology, self-esteem, physical self-concept, psychological well-being, and parenting styles. Descriptive analyses, t-tests for independent samples, Pearson correlations, hierarchical regressions, and fuzzy set qualitative comparative analysis models (fsQCA) were performed. RESULTS: Emotional (β = 0.44; p = 0.001) and hyperactive (β = 0.20; p = 0.001) symptoms predicted anxiety, emotional symptomatology (β = 0.25; p = 0.022), self-esteem (β = - 0.37; p = 0.001), and promotion of autonomy (β = 0.30; p = 0.001) predicted depression, and hyperactivity (β = 0.45; p = 0.001), self-esteem (β = - 0.43; p = .001), and humor (β = - 0.36; p = 0.001) predicted emotional distress. The fsQCA results show that none of the variables is a necessary condition for anxiety, depression, or emotional distress. However, different combinations of these variables are sufficient conditions to explain 85% of the high levels of anxiety, 81% of the low levels, 62% of the high levels of depression, 64% of the low levels of depression, and 74% of the high levels of emotional distress and 61% of the low levels. The most important variables in the fsQCA models were symptomatology, self-esteem, and parental styles. CONCLUSION: The patient's family dynamics, self-esteem, and emotional difficulties were the most relevant factors in predicting adjustment.
PURPOSE: Adolescence is a time of change when suffering from a medical condition such as short stature can impact the emotional well-being of adolescents. Our objective was to study the adjustment of adolescents with short stature (SS), analyzing the factors influencing it. METHOD: In this cross-sectional study, we evaluated 101 adolescents with SS from different hospitals in Valencia, Spain, using instruments validated for the sample: anxious and depressive symptomatology (as a diagnostic adjustment measure), psychopathology, self-esteem, physical self-concept, psychological well-being, and parenting styles. Descriptive analyses, t-tests for independent samples, Pearson correlations, hierarchical regressions, and fuzzy set qualitative comparative analysis models (fsQCA) were performed. RESULTS: Emotional (β = 0.44; p = 0.001) and hyperactive (β = 0.20; p = 0.001) symptoms predicted anxiety, emotional symptomatology (β = 0.25; p = 0.022), self-esteem (β = - 0.37; p = 0.001), and promotion of autonomy (β = 0.30; p = 0.001) predicted depression, and hyperactivity (β = 0.45; p = 0.001), self-esteem (β = - 0.43; p = .001), and humor (β = - 0.36; p = 0.001) predicted emotional distress. The fsQCA results show that none of the variables is a necessary condition for anxiety, depression, or emotional distress. However, different combinations of these variables are sufficient conditions to explain 85% of the high levels of anxiety, 81% of the low levels, 62% of the high levels of depression, 64% of the low levels of depression, and 74% of the high levels of emotional distress and 61% of the low levels. The most important variables in the fsQCA models were symptomatology, self-esteem, and parental styles. CONCLUSION: The patient's family dynamics, self-esteem, and emotional difficulties were the most relevant factors in predicting adjustment.
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Authors: Monika Bullinger; Julia Quitmann; Mick Power; Michael Herdman; Emmanuelle Mimoun; Kendra DeBusk; Eva Feigerlova; Carolina Lunde; Maria Dellenmark-Blom; Dolores Sanz; Anja Rohenkohl; Andreas Pleil; Hartmut Wollmann; John E Chaplin Journal: Health Qual Life Outcomes Date: 2013-05-07 Impact factor: 3.186