Evidence map›Paper›PMID 34284318›Full record

ArticleJournal of affective disorders2021

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, Li Chen, Feiyong Jia, Xinmiao Shi, Yiwen Zhang, Fei Li, Yan Hao, Yan Hou, Hongzhu Deng, Jie Zhang and 20 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Lin WangDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Li ChenNational Clinical Research Center for Child Health and Disorder, Children's Hospital of Chongqing Medical University, Chongqing, China.
Feiyong JiaDepartment of Developmental-Behavioral Pediatrics, the First Hospital of Jilin University, Changchun, Jilin, China.
Xinmiao ShiDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Yiwen ZhangDepartment of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, China.
Fei LiDepartment of Developmental-Behavioral Pediatrics, Xinhua Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, China.
Yan HaoDepartment of Child Health Care, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yan HouDepartment of Biostatistics, Peking University, Beijing, China.
Hongzhu DengChild Developmental & Behavioral Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jie ZhangDepartment of Child Health Care, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Linjuan HuangHealth Management Center, Fuzhou Children's Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xianghui XieChildren's Hospital, Capital Institute of Pediatrics, Beijing, China.
Shuanfeng FangDepartment of Child Health Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Qi XuDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Liang XuWHO Collaborating Center for Research and Training in Child Mental health, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.
Hongyan GuanDepartment of Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Weijie WangShanghai Pudong Institute of Education Development, Shanghai, China.
Jianna ShenChongqing educational science research academy, Chongqing, China.
Feng LiJiangjin centre hospital, chongqing, China.
Ying QianPeking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health (Peking University), Beijing, China.
Xi WangDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Ling ShanDepartment of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, China.
Chuanxue TanDepartment of Child Health Care, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Jianhong WangDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Yabin YuDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Xiaoyan WangDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Lili ZhangDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Xiaomeng LiDepartment of Child Health Care, Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Xiaoyan KeWHO Collaborating Center for Research and Training in Child Mental health, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address: kexynj@hotmail.com.
Tingyu LiNational Clinical Research Center for Child Health and Disorder, Children's Hospital of Chongqing Medical University, Chongqing, China. Electronic address: tyli@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe 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.

methodsA 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.

resultsThe 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.

conclusionsBesides 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.

Indexed as

COVID-19Problem BehaviorAdolescentChildCross-Sectional StudiesHumansNomogramsPandemicsRisk FactorsSARS-CoV-2Children and adolescentsCoronavirus disease 2019Psychosocial and behavioural problemsRisk factors

Identifiers

PMID34284318
PMCPMC8433597

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.