Does Personality Predict Depression and Use of an Internet-Based Intervention for Depression among Adolescents?

Abstract

Background. Focus upon depression and prevention of its occurrence among adolescents is increasing. Novel ways of dealing with this serious problem have become available especially by means of internet-based prevention and treatment programs of depression and anxiety. The use of Internet-based intervention programs among adolescents has revealed some difficulties in implementation that need to be further elucidated. The aim of this study is to investigate the association between personality and adolescent depression and the characteristics of users of an Internet-based intervention program. Method. The Junior Temperament and Character Inventory (JTCI), the General Self-Efficacy scale (GSE) and the Centre for Epidemiological Studies-Depression scale (CES-D) have been administered to a sample (n = 1234) of Norwegian senior high-school students. Results. Multiple regression analysis revealed associations between depression and gender, and several JTCI domains and facets. In line with previous findings in adults, high Harm Avoidance and low Self-Directedness emerged as the strongest predictors of adolescent depressive symptoms. Further, in logistic regression analysis with the covariates JTCI, GSE and CES-D, the only significant variables predicting use/non-use were the CES-D and the temperament domain Reward Dependence. Conclusion. The results in this study revealed level of depressive symptoms as the strongest predictor of the use of the Internet based intervention and that personality might provide useful information about the users.

Is computerised CBT really helpful for adult depression?-A meta-analytic re-evaluation of CCBT for adult depression in terms of clinical implementation and methodological validity

“…Firstly, we could distinguish indications for which CCBT is appropriate. In fact, it has been reported that applying CCBT to patients with a personality suitable for it [64] or to those from a technologically-literate generation [19] may contribute to better outcomes. Also, further development of CCBT in terms of sophistication and attractiveness accompanying the rapid progress of information technology [65] might enhance the effectiveness of and adherence to CCBT, such as in the format of a therapeutic computer game [66].…”

Is Digital Treatment the Holy Grail? Literature Review on Computerized and Blended Treatment for Depressive Disorders in Youth

“…Unguided cCBT allows for privacy, which participants rated as very important [31]. The strongest predictor for use and non-use appeared to be gender, as females are more likely to use unguided cCBT [37]. Guided cCBT was evaluated by participants as useful and 'worth their time' [40].…”

“…Table 1 presents details of the included studies (k = 33). Sixteen studies were aimed at computerized treatments, of which nine were unguided computerized treatments (four computer-based and five internet-based) [30][31][32][33][34][35][36][37][38] and seven studies were guided computerized treatments (one computer-based and six internet-bases) [39][40][41][42][43][44][45], two studies at blended treatment [46,47], two studies compared unguided computerized, blended-and face-to-face treatment to no treatment [48,49], and eight studies were aimed at self-help internet-based games [50][51][52][53][54][55][56][57]. Furthermore, two studies that were focused on the use of an online monitoring tool aimed at registering and monitoring treatment progression [58,59] and three studies were aimed at characteristics of online interventions or studied the preferred modes of help seeking [60][61][62].…”

“…Sixteen studies were mainly focused on the feasibility, usability, and acceptability of computerized and blended interventions. The study designs were mixed and they contained qualitative studies with focus groups of patients, healthy adolescents or mental health professionals (k = 6) [41,53,54,56,58,59], randomized controlled trials (k = 3) [43,47,48], pre-post designs without control group (k = 5) [31,46,50,51,55], and cross-sectional studies (k = 2) [32,37]. Three studies were mainly focused on the preferences of patients regarding treatment modalities [32,60,62].…”

Relación de los rasgos de personalidad y la actividad física con la depresión en adolescentes

“…Emocionalmente, conlleva una anticipación entusiasta y de ansiedad por el futuro, junto con sentimientos de nostalgia o frustración e importantes reajustes psicológicos (Sha-pero et al, 2015). Un período decisivo en el desarrollo de la madurez, donde se construyen los procesos autónomos de adquisición de hábitos que permiten el equilibrio saludable, que prevengan el desarrollo de trastornos clínicos asociados como depresión (Hankin et al, 2015;Guillén, Montaño, Fernández, Gordillo, & Solanes, 2013;Polanczyk, Salum, Sugaya, Caye, & Rohde, 2015;Suetani et al, 2017), trastornos adictivos, ansiedad y estrés o agresividad (Joshi, & Yadav, 2017;Páramo, 2011;Vangberg, 2013) tendencias autodestructivas, entre otros procesos desadaptativos (Gartstein, Slobodskaya, Zylicz, Gosztyla, & Nakagawa, 2010;Lombas, Martín-Albo, Valdivia-Salas, & Jiménez, 2014;López-Soler, Alcántara, Fernández, Castro, & López-Pina, 2010). Cloninger (2003), propone en su Modelo Psicobiológico de Personalidad la existencia de "causas internas que subyacen al comportamiento individual y a la experiencia de la persona" (Cloninger, 2003, p.3), buscando integrar el substrato biológico de la personalidad con el desarrollo producido por la experiencia y el aprendizaje socio-cultural (García, 2012).…”