Correlation between weather conditions and COVID-19 pandemic in the southeast area of Iran

Parvaz, Najmeh; Amin, Faisal Mohammad; Nadimi, Ali Esmaeili; Eslami, Hadi

doi:10.21203/rs.3.rs-949160/v1

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…In this case, an individual’s higher sensitivity to aversive stimuli may lead to the consequence of more maladaptive avoidant behaviours 20 . This perspective is supported by several studies, which found that individuals’ BIS was positively associated with their likelihood of NSSI or STBs in several cross-sectional studies 21,22 . In addition, a previous study found that individuals with a higher level of BIS reported more severe forms of suicidality 20 .…”

Section: Introductionmentioning

confidence: 60%

Multi-dimensional prediction of suicidality and non-suicidal self-injury transition in children: from general psychopathological, behavioural, and neurobiological perspectives

Yang

Wang

et al. 2022

Preprint

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IMPORTANCE Accurate prediction of suicide or non-suicidal self-injury (NSSI) among children within a uniform time frame is an essential but challenging task. Furthermore, few studies have comprehensively considered clinical, behavioural, and neurobiological factors to produce multi-dimensional prediction models. OBJECTIVE To examine predictive effects of general psychopathology, behavior inhibition system, and brain signature on children's suicidality or NSSI transition. DESIGN, SETTING, AND PARTICIPANTS We adopted a retrospective and longitudinal methodology by utilising the data from the Adolescent Brain Cognitive Development (ABCD) cohort. In total, 9332 individuals aged 9-10 years without any suicidality or non-suicidal self-injury (NSSI) history at baseline were included in our analyses. Then, four subgroups were generated based on whether they had developed suicide ideation (Healthy control [HC]-SI), NSSI (HC-NSSI) or suicide attempt (HC-SA) in a year, while the remaining group was considered a control group (HC-HC). MAIN OUTCOMES AND MEASURES Participants suicidal behaviors and non-suicidal self-injury behaviors were assessed with the Kiddle Schedule for Affective Disorders and Schizophrenia. Meanwhile, general psychopathology (i.e., p-factor) was calculated based on scores of Child Behavior Checklist, behavioral inhibition system (BIS) was assessed though BIS/BAS scale, and the brain morphometrics were also collected though sMRI. Multinomial logistic regression models were used for assessing the predictive effects of general psychopathology, behavioral inhibition system, and whole-brain cortical area on children's STB and NSSI transition. RESULTS As a result, we found higher general psychopathology in baseline predicted higher NSSI (1.52 [1.28-1.80]), SI (OR=1.34 [95%CI 1.17-1.53]) and SA (2.05 [1.34-3.14]) risk in a year. From a behavioural perspective, higher BIS sensitivity predicted higher SI (2.05 [1.61, 2.61], and NSSI (1.68 [1.24, 2.28]) in a year. From a neurobiological perspective, abnormalities in the cortical area of the superior insula, inferior frontal area, superior temporal area, and superior precentral area were all shown to be associated with children's NSSI, SI and SA in the future. CONCLUSIONS AND RELEVANCE This study is the first to look at the predictive factors for the different transitions of NSSI and suicidal behaviour from the biopsychosocial framework. Our findings offered empirical evidence on the predictive effect of baseline general psychopathology, BIS sensitivity and biological marker on children's suicidality or NSSI in a year, providing early biomarkers for all types of transition. In this case, the early identification of those factors may facilitate the development of early prevention or intervention that could potentially alleviate more relevant public health issues.

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