Evidence map›Paper›PMID 41794747›Full record

ArticleItalian journal of pediatrics2026

Past diseases history: an important predictor of persistent learning disability in US children.

Song Mao, Liangxia Wu

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Article in Italian journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Song MaoDepartment of Pediatrics, Shanghai Sixth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. edjh123456@sina.com.ORCID http://orcid.org/0000-0002-0240-2228
Liangxia WuDepartment of Pediatrics, Shanghai Sixth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to analyse the role of past diseases history (PDH), including developmental delay (DD), autism, intellectual disability (ID), attention deficit disorder (ADD) / attention-deficit/hyperactivity disorder (ADHD) and asthma in persistent learning disability (PLD) risk in children.

methods1952 children were recruited from the US National Health Interview Survey (NHIS) from 2019 to 2023 according to a predefined criteria. Logistic regression analysis was performed to detect the association between PDH and PLD risk. Threshold effect analysis was used to detect the threshold age point. Interaction and Joint effects analyses between age/sex and PDH with PLD risk was conducted. Receiver operating curve (ROC) analysis was used to investigate the single and incremental predictive value of PDH on PLD risk. Population attributable fraction (PAF) of PDH in PLD risk was computed. Sensitivity analyses were performed by sub-age/sex group analyses, repeated analyses after propensity score matching (PSM), and E-values to assess the potential impact of unmeasured confounders.

resultsHistory of DD, autism, ID, ADD/ADHD, and asthma were all significantly associated with increased PLD risk. ID history resulted in 13.25 more times of PLD risk. Increase of PDH numbers led to an elevating trend of PLD risk. Age over 8 years showed 6% decreasing trend of PLD risk (odds ratio (OR):0.94, 95% confidence interval (CI): 0.89–0.99), while age over 12 years showed a lower PLD risk (OR < 1). 3 past diseases and 2–11 years old group had 10.78 more times PLD risk (OR: 11.78, 95% CI: 3.50, 39.68) compared with that in 2–11 years old children without PDH. 2 past diseases and female group had 2.24 more times PLD risk (OR: 3.24, 95% CI: 1.61, 6.50) compared with that in female without PDH. 2–11 years old and female showed a stronger joint effect with past diseases numbers for predicting PLD. PDH numbers had a good discriminatory power for predicting PLD risk. Combined five past diseases history accounted for over 10% of PAF for PLD risk. ID and ADD/ADHD, and autism and asthma history were the top contributors to PLD risk in female and male, respectively. Sensitivity analyses yielded similar results.

conclusionsPDH showed good prediction, discriminatory power and certain contribution to PLD risk, while lower than 12 years old, female, and increased PDH numbers may be indicators of PLD susceptibility. Early warning of PDH may be needed in specific populations with learning disability (LD).

Indexed as

Learning DisabilitiesAdolescentAsthmaAttention Deficit Disorder with HyperactivityAutistic DisorderChildChild, PreschoolDevelopmental DisabilitiesFemaleHealth SurveysHumansIntellectual DisabilityMaleRisk FactorsUnited StatesADHDAsthmaAutismChildrenDevelopmental delayIntellectual disabilityLearning disability

Identifiers

PMID41794747
PMCPMC13081647

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LicenceCC BY-NC-ND
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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.