tetano
Editor, Senior Moderator
J Affect Disord
. 2021 Jul 6;294:128-136.
doi: 10.1016/j.jad.2021.06.077. Online ahead of print.
Risk factors and prediction nomogram model for psychosocial and behavioural problems among children and adolescents during the COVID-19 pandemic: A national multicentre study: Risk Factors of Childhood Psychosocial Problems
Lin Wang[SUP] 1 [/SUP], Li Chen[SUP] 2 [/SUP], Feiyong Jia[SUP] 3 [/SUP], Xinmiao Shi[SUP] 1 [/SUP], Yiwen Zhang[SUP] 4 [/SUP], Fei Li[SUP] 5 [/SUP], Yan Hao[SUP] 6 [/SUP], Yan Hou[SUP] 7 [/SUP], Hongzhu Deng[SUP] 8 [/SUP], Jie Zhang[SUP] 9 [/SUP], Linjuan Huang[SUP] 10 [/SUP], Xianghui Xie[SUP] 11 [/SUP], Shuanfeng Fang[SUP] 12 [/SUP], Qi Xu[SUP] 1 [/SUP], Liang Xu[SUP] 13 [/SUP], Hongyan Guan[SUP] 14 [/SUP], Weijie Wang[SUP] 15 [/SUP], Jianna Shen[SUP] 16 [/SUP], Feng Li[SUP] 17 [/SUP], Ying Qian[SUP] 18 [/SUP], Xi Wang[SUP] 1 [/SUP], Ling Shan[SUP] 4 [/SUP], Chuanxue Tan[SUP] 9 [/SUP], Jianhong Wang[SUP] 1 [/SUP], Yabin Yu[SUP] 1 [/SUP], Xiaoyan Wang[SUP] 1 [/SUP], Lili Zhang[SUP] 1 [/SUP], Xiaomeng Li[SUP] 1 [/SUP], Xiaoyan Ke[SUP] 19 [/SUP], Tingyu Li[SUP] 20 [/SUP]
Affiliations
Abstract
Background: We aimed to explore the risk profiles attributable to psychosocial and behavioural problems during the coronavirus disease 2019 pandemic. To this end, we created a risk-prediction nomogram model.
Methods: A national multicentre study was conducted through an online questionnaire involving 12,186 children (6-11 years old) and adolescents (12-16 years old). Respondents' psychosocial and behavioural functioning were assessed using the Achenbach Child Behaviour Checklist (CBCL). Data were analysed using STATA software and R-language.
Results: The positive detection rate of psychological problems within Wuhan was greater than that outside Wuhan for schizoid (P = 0.005), and depression (P = 0.030) in children, and for somatic complaints (P = 0.048), immaturity (P = 0.023), and delinquent behaviour (P = 0.046) in adolescents. After graded multivariable adjustment, seven factors associated with psychological problems in children and adolescents outside Wuhan were parent-child conflict (odds ratio (OR): 4.94, 95% confidence interval (95% CI): 4.27-5.72), sleep problems (OR: 4.05, 95% CI: 3.77-4.36), online study time (OR: 0.41, 95% CI: 0.37-0.47), physical activity time (OR: 0.510, 95% CI: 0.44-0.59), number of close friends (OR: 0.51, 95% CI: 0.44-0.6), time spent playing videogames (OR: 2.26, 95% CI: 1.90-2.69) and eating disorders (OR: 2.71, 95% CI: 2.35-3.11) (all P < 0.001). Contrastingly, within Wuhan, only the first four factors, namely, parent-child conflict (5.95, 2.82-12.57), sleep problems (4.47, 3.06-6.54), online study time (0.37, 0.22-0.64), and physical activity time (0.42, 0.22-0.80) were identified (all P < 0.01). Accordingly, nomogram models were created with significant attributes and had decent prediction performance with C-indexes over 80%.
Limitation: A cross-sectional study and self-reported measures.
Conclusions: Besides the four significant risk factors within and outside Wuhan, the three additional factors outside Wuhan deserve special attention. The prediction nomogram models constructed in this study have important clinical and public health implications for psychosocial and behavioural assessment.
Keywords: Children and adolescents; Coronavirus disease 2019; Psychosocial and behavioural problems; Risk factors.
. 2021 Jul 6;294:128-136.
doi: 10.1016/j.jad.2021.06.077. Online ahead of print.
Risk factors and prediction nomogram model for psychosocial and behavioural problems among children and adolescents during the COVID-19 pandemic: A national multicentre study: Risk Factors of Childhood Psychosocial Problems
Lin Wang[SUP] 1 [/SUP], Li Chen[SUP] 2 [/SUP], Feiyong Jia[SUP] 3 [/SUP], Xinmiao Shi[SUP] 1 [/SUP], Yiwen Zhang[SUP] 4 [/SUP], Fei Li[SUP] 5 [/SUP], Yan Hao[SUP] 6 [/SUP], Yan Hou[SUP] 7 [/SUP], Hongzhu Deng[SUP] 8 [/SUP], Jie Zhang[SUP] 9 [/SUP], Linjuan Huang[SUP] 10 [/SUP], Xianghui Xie[SUP] 11 [/SUP], Shuanfeng Fang[SUP] 12 [/SUP], Qi Xu[SUP] 1 [/SUP], Liang Xu[SUP] 13 [/SUP], Hongyan Guan[SUP] 14 [/SUP], Weijie Wang[SUP] 15 [/SUP], Jianna Shen[SUP] 16 [/SUP], Feng Li[SUP] 17 [/SUP], Ying Qian[SUP] 18 [/SUP], Xi Wang[SUP] 1 [/SUP], Ling Shan[SUP] 4 [/SUP], Chuanxue Tan[SUP] 9 [/SUP], Jianhong Wang[SUP] 1 [/SUP], Yabin Yu[SUP] 1 [/SUP], Xiaoyan Wang[SUP] 1 [/SUP], Lili Zhang[SUP] 1 [/SUP], Xiaomeng Li[SUP] 1 [/SUP], Xiaoyan Ke[SUP] 19 [/SUP], Tingyu Li[SUP] 20 [/SUP]
Affiliations
- PMID: 34284318
- DOI: 10.1016/j.jad.2021.06.077
Abstract
Background: We aimed to explore the risk profiles attributable to psychosocial and behavioural problems during the coronavirus disease 2019 pandemic. To this end, we created a risk-prediction nomogram model.
Methods: A national multicentre study was conducted through an online questionnaire involving 12,186 children (6-11 years old) and adolescents (12-16 years old). Respondents' psychosocial and behavioural functioning were assessed using the Achenbach Child Behaviour Checklist (CBCL). Data were analysed using STATA software and R-language.
Results: The positive detection rate of psychological problems within Wuhan was greater than that outside Wuhan for schizoid (P = 0.005), and depression (P = 0.030) in children, and for somatic complaints (P = 0.048), immaturity (P = 0.023), and delinquent behaviour (P = 0.046) in adolescents. After graded multivariable adjustment, seven factors associated with psychological problems in children and adolescents outside Wuhan were parent-child conflict (odds ratio (OR): 4.94, 95% confidence interval (95% CI): 4.27-5.72), sleep problems (OR: 4.05, 95% CI: 3.77-4.36), online study time (OR: 0.41, 95% CI: 0.37-0.47), physical activity time (OR: 0.510, 95% CI: 0.44-0.59), number of close friends (OR: 0.51, 95% CI: 0.44-0.6), time spent playing videogames (OR: 2.26, 95% CI: 1.90-2.69) and eating disorders (OR: 2.71, 95% CI: 2.35-3.11) (all P < 0.001). Contrastingly, within Wuhan, only the first four factors, namely, parent-child conflict (5.95, 2.82-12.57), sleep problems (4.47, 3.06-6.54), online study time (0.37, 0.22-0.64), and physical activity time (0.42, 0.22-0.80) were identified (all P < 0.01). Accordingly, nomogram models were created with significant attributes and had decent prediction performance with C-indexes over 80%.
Limitation: A cross-sectional study and self-reported measures.
Conclusions: Besides the four significant risk factors within and outside Wuhan, the three additional factors outside Wuhan deserve special attention. The prediction nomogram models constructed in this study have important clinical and public health implications for psychosocial and behavioural assessment.
Keywords: Children and adolescents; Coronavirus disease 2019; Psychosocial and behavioural problems; Risk factors.