Maternal smoking during pregnancy and offspring risk of intellectual disability
A UK-based cohort study
Bibliographic Data
| ID | 15519274 |
|---|---|
| Authors | Paul Madley‐Dowd (0000-0003-2932-9486, Medical Research Council, corresponding author), Paul Madley-Dowd, Richard Thomas (0000-0002-3325-1952, University of Bristol), Andy Boyd (0000-0002-8614-3728, University of Bristol), Stanley Zammit, Stan Zammit (0000-0002-2647-9211, National Health Service), Jon Heron (0000-0001-6199-5644, University of Bristol), Dheeraj Rai (0000-0002-7239-3523, NIHR Bristol Biomedical Research Centre) |
| Year | 2024 |
| Volume | 15 |
| Pages | 1352077-1352077 |
| Publication date | 2024-06-25 |
| 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.2024.1352077 |
| PMID | 38983370 |
| OpenAlex | W4400006629 |
| Language | EN |
| References cited | 34 |
The results are not consistent with a causal effect of maternal smoking during pregnancy on offspring ID
Cohort · Cohort study · Confounding · Gestation · Logistic regression · Observational study · Obstetrics · Odds · Odds ratio · Offspring · Pregnancy · Air Quality and Health Impacts · Birth, Development, and Health · Demography · Health, Environment, Cognitive Aging · Medicine · Internal Medicine
Multiple imputation of discrete and continuous data by fully conditional specification
Cohort Profile
Cohort Profile
The proportion of missing data should not be used to guide decisions on multiple imputation
Accounting for missing data in statistical analyses
Negative Controls
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Multiple imputation using chained equations
Multiple Imputation for Nonresponse in Surveys
Children Born to Diabetic Mothers May be More Likely to Have Intellectual Disability
| Citation velocity | historical |
|---|---|
| Highly cited | No |