Suicidal behaviour in adolescents: A network analysis

Fonseca‐Pedrero, Eduardo; Casal, Adriana Díez Gómez del; Barrera, Usue de la; Sebastián‐Enesco, Carla; Ortuño‐Sierra, Javier; Montoya‐Castilla, Inmaculada; Lucas‐Molina, Beatriz; Inchausti, Félix; Pérez‐Albéniz, Alicia

doi:10.1016/j.rpsm.2020.04.007

Cited by 15 publications

(6 citation statements)

References 49 publications

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“…Emotions are key constructions related to psychological well-being and life-satisfaction, according to classic theoretical models such as those of Goleman [ 4 ], Mayer et al [ 5 ], and Bar On [ 6 ] and more recent ones such as Bisquerra et al [ 7 ] somehow, in these models, it is evident that emotional skills can be divided into two poles within a continuum. The positive side includes elements such as productive coping strategies, social skills, prosociality, and empathic attitudes and the negative side that may include symptoms such as anxiety, stress, and depression, which, at the same time, may be considered relevant to assess the level of risk and suicidal ideation in a manner consistent with the localized empirical literature (Lew et al [ 8 ], Zhang et al [ 9 ], and Fonseca-Pedrero et al [ 10 ]).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Anxiety, Suicidal Risk, Daily Stress, Empathy, Perceived Emotional Intelligence, and Coping Strategies in a Sample of Spanish Undergraduates

Montero

Morales-Rodríguez

2021

IJERPH

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Anxiety disorders and suicide are commonly under-recognized issues that can be a public health problem. Adolescents are among the most affected population groups and studying them can prevent serious health problems. These two elements are related, but at the same time, they can only be understood from a multifactorial point of view, so other related variables such as emotional intelligence, empathy, or coping strategies are key to understand their effect on the population. In this study, a series of methods to measure the variables of interest were applied to a specific group of adolescents to determine their mental health levels, focusing on suicide and anxiety episodes. The results reflected average levels with a tendency to be high in the case of anxiety and nonalarming levels in terms of suicide risk, both parameters presenting more worrying values in women. In turn, the correlation between suicide and anxiety was demonstrated considering the other variables (coping strategies, empathy, emotional intelligence, and prosociality). This research has relevant implications for the diagnosis, orientation, and design of psychoeducational and clinical interventions that contribute to the improvement of their well-being and quality of life.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Anxiety, Suicidal Risk, Daily Stress, Empathy, Perceived Emotional Intelligence, and Coping Strategies in a Sample of Spanish Undergraduates

Montero

Morales-Rodríguez

2021

IJERPH

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“…The ‘nodes’ of the network corresponded to the factors of the questionnaire and the ‘edges’ were the correlations between them [ 28 ]. The Fruchterman–Reingold algorithm was used for the network design, which places the most important nodes in the centre of the network and the weakest ones on the periphery [ 29 ]. In the network, the thickness of the lines indicates the strength of the associations between nodes.…”

Section: Methodsmentioning

confidence: 99%

Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test

Valdés

Guillén-Riquelme

Sierra

2022

IJERPH

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Depression is a highly prevalent disorder with a wide range of symptomatology. Existing instruments for its assessment have only a few items for each factor. The Depression Clinical Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month, year, and always) with several items for each facet. The content validity of this instrument has been judged by experts and, in this paper, we analyse its factorial structure and make a network analysis of it. The test (196 items) was administered to 602 adults without psychological disorders (Mage = 24.7, SD = 8.38, 72% women) both online and on paper. A network was estimated for each time point, using the absolute minimum selection and shrinkage operator. From the factor analysis, 12 factors were established for month, 11 for year, and 10 for always, leaving 94 items. The network analysis showed that the facets of depressive mood, anhedonia, and thoughts of Death, are central to all the estimated networks. The DCET is proposed as a valid and reliable multifactorial instrument to detect the variability of depressive symptoms in adults, guaranteeing its diagnostic usefulness.

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“…Furthermore, the association strengthens as incidences of self-harm increase (Gillies et al, 2018). Other factors commonly found to be associated with adolescent suicidality include psychological disorders and problems, such as anxiety and hopelessness (e.g., Ayub, 2009;Elledge et al, 2021;Macalli et al, 2021); low self-esteem (e.g., Fonseca-Pedrero et al, 2020), health risk behaviors (such as substance use and sexual activity) (e.g., Hallfors et al, 2004;Kuroki, 2015), behavioral issues (such as impulsivity and delinquency) (e.g., Fonseca-Pedrero et al, 2022;Hawton et al, 2012), low socio-economic status (e.g., Navarro et al, 2021), bullying (e.g., Fonseca-Pedrero et al, 2022, a lack of connectedness with family, friends, school, and peers (e.g., Consoli et al, 2013;Whitlock et al, 2014), pain (Hinze et al, 2019), and poor self-rated health (Nkansah-Amankra et al, 2010). Teevale et al (2016) found that risk factors for suicide attempts among Pacific adolescents in NZ were being female, food insecurity, poor family connections and monitoring, life dissatisfaction, having a religious affiliation, and having a family member or friend attempt or die by suicide.…”

Section: Risk Factors For Suicidalitymentioning

confidence: 99%

Understanding suicidality in Pacific adolescents in New Zealand using network analysis

Gossage¹,

Narayanan²,

Dipnall³

et al. 2023

Preprint

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Introduction: Pacific adolescents in New Zealand (NZ) are two to three times more likely than NZ Europeans to report suicide attempts and have higher rates of suicidal plans. Suicidal thoughts and behaviours, termed suicidality in this study, result from a complex dynamic interplay of factors which emerging methodologies like network analysis aim to capture. Methods: This study used network analysis to model the relationships between suicidality, self-harm, and individual depression symptoms cross-sectionally, whilst controlling for a multi-dimensional set of variables relevant to suicidality. A series of network models were fitted to data from a community sample of New Zealand-born Pacific adolescents (n=550; 51% male; Mean age (SD) = 17 (0.35)). Results: Self-harm and the symptom measuring pessimism were most strongly related to suicidality, followed by symptoms related to having a negative self-image about looks and sadness. Non-symptom risk factors for self-harm and suicidality differed markedly.Conclusions: Depression symptoms varied widely in terms of their contribution to suicidality. These results highlight the valuable information gained from analysing depression at the symptom-item level. The analysis suggests reducing the sources of pessimism and building self-esteem presented as potential targets for alleviating suicidality amongst Pacific adolescents in New Zealand.

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Suicidal behaviour in adolescents: A network analysis

Cited by 15 publications

References 49 publications

Evaluation of Anxiety, Suicidal Risk, Daily Stress, Empathy, Perceived Emotional Intelligence, and Coping Strategies in a Sample of Spanish Undergraduates

Evaluation of Anxiety, Suicidal Risk, Daily Stress, Empathy, Perceived Emotional Intelligence, and Coping Strategies in a Sample of Spanish Undergraduates

Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test

Understanding suicidality in Pacific adolescents in New Zealand using network analysis

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