Small area synthetic estimates of smoking prevalence during pregnancy in England
Background: Complete and accurate data on maternal smoking prevalence during pregnancy are not available at a local geographical scale in England. We employ a synthetic estimation approach to predict the expected prevalence of smoking during pregnancy and smoking at delivery by Primary Care Trust (P...
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BioMed Central
2015
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| Online Access: | https://eprints.nottingham.ac.uk/30938/ |
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| author | Szatkowski, Lisa Fahy, Samantha Coleman, Tim Taylor, Joanna Twigg, Liz Moon, Graham Leonardi-Bee, Jo |
| author_facet | Szatkowski, Lisa Fahy, Samantha Coleman, Tim Taylor, Joanna Twigg, Liz Moon, Graham Leonardi-Bee, Jo |
| author_sort | Szatkowski, Lisa |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Background: Complete and accurate data on maternal smoking prevalence during pregnancy are not available at a local geographical scale in England. We employ a synthetic estimation approach to predict the expected prevalence of smoking during pregnancy and smoking at delivery by Primary Care Trust (PCT).
Methods: Multilevel logistic regression models were used with data from the 2010 Infant Feeding Survey and 2011 Census to predict the probability of mothers (a) smoking at any point during pregnancy and (b) smoking at delivery according to age, deprivation and the ethnic profile of the home area. These probabilities were applied to demographic information on mothers giving birth from 2010/11 Hospital Episode Statistics data to produce expected counts, and prevalence figures, of smokers by PCT, with Bayesian 95% credible intervals. The expected prevalence of smoking at delivery by PCT was compared with midwife-collected Smoking at the Time of Delivery (SATOD) data using a Bland-Altman plot.
Results: The expected prevalence of smoking during pregnancy by PCT ranged from 8.1% (95% CI 5.6-1.0) to 31.6% (27.5-34.8). The expected prevalence of smoking at delivery ranged from 2.5% (1.4-4.0) to 17.1% (13.7-20.4). Figures for expected smoking prevalence at delivery showed some agreement with SATOD, though SATOD data were general higher than the synthetic estimates (mean difference 2.99%).
Conclusions: It is possible to derive good estimates of expected smoking prevalence during pregnancy for small areas, potentially at much lower cost than conducting large surveys. Such data may be useful to help plan and commission smoking cessation services and monitor their effectiveness. |
| first_indexed | 2025-11-14T19:10:44Z |
| format | Article |
| id | nottingham-30938 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:10:44Z |
| publishDate | 2015 |
| publisher | BioMed Central |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-309382020-05-04T17:27:26Z https://eprints.nottingham.ac.uk/30938/ Small area synthetic estimates of smoking prevalence during pregnancy in England Szatkowski, Lisa Fahy, Samantha Coleman, Tim Taylor, Joanna Twigg, Liz Moon, Graham Leonardi-Bee, Jo Background: Complete and accurate data on maternal smoking prevalence during pregnancy are not available at a local geographical scale in England. We employ a synthetic estimation approach to predict the expected prevalence of smoking during pregnancy and smoking at delivery by Primary Care Trust (PCT). Methods: Multilevel logistic regression models were used with data from the 2010 Infant Feeding Survey and 2011 Census to predict the probability of mothers (a) smoking at any point during pregnancy and (b) smoking at delivery according to age, deprivation and the ethnic profile of the home area. These probabilities were applied to demographic information on mothers giving birth from 2010/11 Hospital Episode Statistics data to produce expected counts, and prevalence figures, of smokers by PCT, with Bayesian 95% credible intervals. The expected prevalence of smoking at delivery by PCT was compared with midwife-collected Smoking at the Time of Delivery (SATOD) data using a Bland-Altman plot. Results: The expected prevalence of smoking during pregnancy by PCT ranged from 8.1% (95% CI 5.6-1.0) to 31.6% (27.5-34.8). The expected prevalence of smoking at delivery ranged from 2.5% (1.4-4.0) to 17.1% (13.7-20.4). Figures for expected smoking prevalence at delivery showed some agreement with SATOD, though SATOD data were general higher than the synthetic estimates (mean difference 2.99%). Conclusions: It is possible to derive good estimates of expected smoking prevalence during pregnancy for small areas, potentially at much lower cost than conducting large surveys. Such data may be useful to help plan and commission smoking cessation services and monitor their effectiveness. BioMed Central 2015-12-09 Article PeerReviewed Szatkowski, Lisa, Fahy, Samantha, Coleman, Tim, Taylor, Joanna, Twigg, Liz, Moon, Graham and Leonardi-Bee, Jo (2015) Small area synthetic estimates of smoking prevalence during pregnancy in England. Population Health Metrics, 13 (34). ISSN 1478-7954 Smoking Pregnancy Synthetic Estimation http://www.pophealthmetrics.com/content/13/1/34 doi:10.1186/s12963-015-0067-8 doi:10.1186/s12963-015-0067-8 |
| spellingShingle | Smoking Pregnancy Synthetic Estimation Szatkowski, Lisa Fahy, Samantha Coleman, Tim Taylor, Joanna Twigg, Liz Moon, Graham Leonardi-Bee, Jo Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title | Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title_full | Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title_fullStr | Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title_full_unstemmed | Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title_short | Small area synthetic estimates of smoking prevalence during pregnancy in England |
| title_sort | small area synthetic estimates of smoking prevalence during pregnancy in england |
| topic | Smoking Pregnancy Synthetic Estimation |
| url | https://eprints.nottingham.ac.uk/30938/ https://eprints.nottingham.ac.uk/30938/ https://eprints.nottingham.ac.uk/30938/ |