2023
DOI: 10.1186/s12888-023-04603-4
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The relationship between bullying, learning disorders and psychiatric comorbidity

Abstract: Background Both learning disorders and bullying are major sources of public concern. Children with learning disorders often suffer from social rejection, potentially rendering them more susceptible to bullying involvement. Bullying involvement leads to a higher risk towards developing various problems including self-harm and suicidality. Past research on whether learning disorders are childhood bullying risk factors yielded inconsistent results. Methods … Show more

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Cited by 3 publications
(3 citation statements)
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“…Differences in content were also observed; for example, Class 3 had high levels of physical aggression (e.g., damaging property, forcing, and stealing) and this class was comprised of mostly males (63% vs. 37). This finding agreed with past studies, pointing to the high prevalence of aggressive incidences and perpetrator behaviors by boys compared with girls [ 61 , 69 , 70 , 71 ]. Item-level gender differences pointed to significantly elevated experiences of bullying for males compared with females across the board of bullying behaviors and types.…”
Section: Discussionsupporting
confidence: 93%
“…Differences in content were also observed; for example, Class 3 had high levels of physical aggression (e.g., damaging property, forcing, and stealing) and this class was comprised of mostly males (63% vs. 37). This finding agreed with past studies, pointing to the high prevalence of aggressive incidences and perpetrator behaviors by boys compared with girls [ 61 , 69 , 70 , 71 ]. Item-level gender differences pointed to significantly elevated experiences of bullying for males compared with females across the board of bullying behaviors and types.…”
Section: Discussionsupporting
confidence: 93%
“…Goals represent the target pages or elements that developers intend for end-users to interact with, while funnels depict different paths users can take to reach these elements. Collected data then reveals the paths users take, identifying potential obstacles or drop-off points (Crutzen et al, 2012;Weinreich et al, 2023).…”
Section: Triangulationmentioning
confidence: 99%
“…For instance, a health professional might check symptoms of an STI but may be less likely to proceed to the STI test page. Pop-up questionnaires could be used to gain insight into the demographic background of end-users (Weinreich et al, 2023), and use data could then be segmented by enduser group. This not only makes the data about the target audience more meaningful but also creates a distinct dataset of other users, which, if substantial in terms of data points, could be equally valuable for analysis.…”
Section: Community Engagementmentioning
confidence: 99%