Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses
Bibliographic Data
| ID | 15522355 |
|---|---|
| Authors | Qingqing Sheng (0000-0002-5418-4111, Guangzhou Medical University, corresponding author), Chunfeng Cai (0000-0001-6144-5159, Wuhan University), Pingdong Li (0000-0002-3685-5268, Guangzhou Medical University), Lihua Chen (0000-0003-4712-2569), Li-Hua Chen (0000-0002-0839-3254, Guangzhou Medical University), Xi Zhang (0009-0004-8281-1030, Anhui Medical University), Xinyu Wang (0009-0005-8004-6336, Wuhan University), Yucui Gong (0000-0003-2448-6503, Guangzhou Medical University, corresponding author) |
| Year | 2022 |
| Volume | 13 |
| Pages | 796384-796384 |
| Publication date | 2022-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.796384 |
| PMID | 35432017 |
| OpenAlex | W4220703027 |
| Language | EN |
| References cited | 43 |
Evaluating the resolution of parents of ill children can help in taking measures to alleviate their distress in a timely manner and promote children's rehabilitation. This study aims to develop and validate a nomogram for predicting the unresolved risk of parents of adolescents with psychiatric diagnoses. The data for 130 parents (modeling dataset = 90; validation dataset = 40) were collected. A nomogram was first developed to predict the unresolved risk for parents based on the logistic regression analysis in the modeling dataset. The internal and external validation then were conducted through quantifying the performance of the nomogram with respect to discrimination and calibration, respectively, in the modeling and validation datasets. Finally, the clinical use was evaluated through decision curve analyses (DCA) in the overall dataset. In the results, the nomogram consisted of six risk factors and provided a good discrimination with areas under the curve of 0.920 (95% CI , 0.862-0.978) in internal validation and 0.886 (95% CI , 0.786-0.986) in external validation. The calibration with good consistency between the observed probability and predicted probability was also found in both internal and external validation. DCA showed that the nomogram had a good clinical utility. In conclusion, the proposed nomogram exhibited a favorable performance with regard to its predictive accuracy, discrimination capability, and clinical utility, and, thus, can be used as a convenient and reliable tool for predicting the unresolved risk of parents of children with psychiatric diagnoses
Distress · Logistic regression · Medical diagnosis · Nomogram · Risk assessment · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Computer Science · Family and Disability Support Research · Family Caregiving in Mental Illness · Medicine · Internal Medicine
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Social support and Quality of Life
Parental Reaction to Early Diagnosis of Their Children’s Autism Spectrum Disorder
Mothers’ Resolution of Their Young Children’s Psychiatric Diagnoses
The relationship between parenting stress and social support in mothers of children with learning disabilities
| Citation velocity | historical |
|---|---|
| Highly cited | No |