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Martin FZ, Madley‐Dowd P, Ahlqvist VH, Jónsson‐Bachmann E, Fraser A, Forbes H. Mode of delivery and maternal sexual wellbeing: A longitudinal study. BJOG 2022; 129:2010-2018. [PMID: 35856885 PMCID: PMC9804306 DOI: 10.1111/1471-0528.17262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/02/2022] [Accepted: 07/18/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVES To investigate the association between mode of delivery and subsequent maternal sexual wellbeing. DESIGN Prospective birth cohort study. SETTING Avon (in Bristol area), UK. POPULATION Participants in the Avon Longitudinal Study of Parents and Children (ALSPAC). METHODS Mode of delivery was abstracted from obstetric records and sexual wellbeing measures were collected via a self-report questionnaire. Missing data were imputed using multiple imputation, and ordinal logistic regression models for ordered categorical outcomes were adjusted for the covariates maternal age at delivery, pre-pregnancy body mass index, diabetes during pregnancy, socio-economic position, parity, depression and anxiety. MAIN OUTCOME MEASURES Sexual enjoyment and frequency at four time points postpartum (between 33 months and 18 years) and two types of sex-related pain (pain in the vagina during sex and elsewhere after sex) at 11 years postpartum. RESULTS We found no association between mode of delivery and sexual enjoyment (e.g. adjusted odds ratio [OR] 1.11, 95% confidence interval [95% CI] 0.97-1.27 at 33 months) or sexual frequency (OR 0.99, 95% CI 0.88-1.12 at 33 months). Caesarean section was associated with an increased odds of pain in the vagina during sex at 11 years postpartum as compared with vaginal delivery in the adjusted model (OR 1.74, 95% CI 1.46-2.08). CONCLUSIONS These findings provide no evidence supporting associations between caesarean section and sexual enjoyment or frequency. However, mode of delivery was shown to be associated with dyspareunia, which may not be limited to abdominal scarring.
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Affiliation(s)
- Florence Z. Martin
- MRC Integrative Epidemiology UnitPopulation Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
| | - Paul Madley‐Dowd
- Centre for Academic Mental HealthPopulation Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
| | | | | | - Abigail Fraser
- MRC Integrative Epidemiology UnitPopulation Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
| | - Harriet Forbes
- Centre for Academic Mental HealthPopulation Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
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Ellis G, Fraser A, Golding J, Iles-Caven Y, Northstone K. Maternal reports of morbidity during the index ALSPAC pregnancy. Wellcome Open Res 2022; 7:163. [DOI: 10.12688/wellcomeopenres.17900.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2022] [Indexed: 11/27/2022] Open
Abstract
Within the ALSPAC (Avon Longitudinal Study of Parents and Children) resource, information concerning the health of the mother during pregnancy is available from three sources: (i) computerised data collected by midwives after the birth of the baby, known as the STORK database; (ii) data abstracted by ALSPAC staff from detailed medical obstetric records, and (iii) reports by mothers during pregnancy, and shortly after the birth using structured questionnaires completed at home. In this Data Note we focus on source (iii), and detail the information obtained from these mothers concerning their health, signs and symptoms together with medications and supplements taken during pregnancy. We also describe how the data can be accessed.
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Ellis G, Fraser A, Golding J, Iles-Caven Y, Northstone K. Maternal reports of morbidity during the index ALSPAC pregnancy. Wellcome Open Res 2022; 7:163. [DOI: 10.12688/wellcomeopenres.17900.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2022] [Indexed: 11/20/2022] Open
Abstract
Within the ALSPAC (Avon Longitudinal Study of Parents and Children) resource, information concerning the health of the mother during pregnancy is available from three sources: (i) computerised data collected by midwives after the delivery of the baby, known as the STORK database; (ii) data abstracted by ALSPAC staff from detailed medical obstetric records, and (iii) reports by mothers during pregnancy, and shortly after delivery using structured questionnaires completed at home. In this Data Note we focus on source (iii), and detail the information obtained from these mothers concerning their health, signs and symptoms together with medications and supplements taken during pregnancy. We also describe how the data can be accessed.
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Birmingham K, Iles-Caven Y, Northstone K, Golding J. The ALSPAC fetal and neonatal resource: detailed data abstracted from the clinical records of the new-born. Wellcome Open Res 2021. [DOI: 10.12688/wellcomeopenres.17214.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In a previous Data Note, we outlined the data obtained from clinical obstetric records concerning many details of the pregnancies resulting in the births of the children in the Avon Longitudinal Study of Parents and Children (ALSPAC). Here we describe the data that have been abstracted from medical records concerning the fetus and neonate. Full details concerning the selection biases regarding the data abstracted are outlined in the previous Data Note. The records that have been abstracted, and described in this Data Note, concern the health of the fetus (measured in relation to the results of fetal monitoring, presentation at various stages of pregnancy, and the method of delivery) as well as the status of the newborn immediately post-delivery. Details of signs, symptoms and treatments of this population of new-born babies, as recorded in the clinical records, are described for the time during which they were in hospital or under the care of a designated midwife. These data add depth to the information collected from elsewhere concerning this period of the child’s life: from the questionnaires completed at the time by the mother; and clinical details from neonatal intensive or special care units which will be detailed in a further Data Note.
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Taylor K, Thomas R, Mumme M, Golding J, Boyd A, Northstone K, Caputo M, A Lawlor D. Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort. Wellcome Open Res 2021; 5:231. [PMID: 33628950 PMCID: PMC7871361 DOI: 10.12688/wellcomeopenres.16339.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2021] [Indexed: 02/02/2023] Open
Abstract
Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, with a specific focus on congenital heart diseases (CHDs), in the Avon Longitudinal Study of Parents and Children (ALSPAC). We demonstrate that combining multiple sources of data including data from antenatal, delivery, primary and secondary health records, and parent-reported information can improve case ascertainment. Our approach identified 590 participants with a CA according to the European Surveillance of Congenital Anomalies (EUROCAT) guidelines, 127 of whom had a CHD. We describe the methods that identified these cases and provide statistics on subtypes of anomalies. The data note contains details on the processes required for researchers to access these data.
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Affiliation(s)
- Kurt Taylor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Richard Thomas
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Mark Mumme
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Jean Golding
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Andy Boyd
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Kate Northstone
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Massimo Caputo
- Department of Translational Science, Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
| | - Deborah A Lawlor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
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