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Campbell F, McGregor S, Marryat L, Stewart R, Clarkson J, Cassie H. The influence of maternal long term health conditions including multimorbidity on child oral health: A scoping review and evidence gap map protocol. Wellcome Open Res 2024; 9:299. [PMID: 39554248 PMCID: PMC11568369 DOI: 10.12688/wellcomeopenres.21725.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2024] [Indexed: 11/19/2024] Open
Abstract
Objective This scoping review will map the extent and type of evidence in relation to the association between maternal long term health conditions (LTCs), including multimorbidity, and child oral health. Introduction Newer theories are emerging that detail the many factors that can influence child oral health at child, family and community levels. More recently, the association between maternal general health and child oral health has been explored, with preliminary evidence suggesting a link between shared environmental factors and diet/substance use during pregnancy causing childhood caries. Inclusion criteria All published studies that describe the relationship between maternal LTCs (including multimorbidity) and child oral health. There will be no limitation on the date of publication due to the limited number of studies available from the initial search of PubMed. The review will exclude case studies, abstracts, and grey literature. Literature must be in English language. Methods The following databases will be searched; CINAHL, Cochrane Library, Maternity and Infant Care, Medline via PubMed, Scopus, Web of Science. The search will include sources in English only and will be undertaken between April and July 2024. Studies to be included will be of any type of study design that describe a relationship between maternal long term health conditions, including maternal long term oral health conditions, and child oral health. Data extraction will be undertaken using tabulation of results by at least two independent reviewers. Narrative analysis of the evidence will be undertaken, and results will be presented in a narrative and tabular manner due to the heterogenous and limited evidence base found in the test search. This review has been registered prospectively on Open Science Framework, ( https://doi.org/10.17605/OSF.IO/ECSWJ). The review will also inform an Evidence Gap Map (EGM) to illustrate the current evidence base regarding maternal health factors that influence child oral health.
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Affiliation(s)
- Faith Campbell
- School of Dentistry, University of Dundee, Dundee, Scotland, UK
| | - Scott McGregor
- School of Dentistry, University of Dundee, Dundee, Scotland, UK
| | - Louise Marryat
- Mother, Infant and Child Research Group, School of Health Sciences,, University of Dundee, Dundee, Scotland, UK
| | - Ryan Stewart
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, Scotland, UK
| | - Jan Clarkson
- School of Dentistry, University of Dundee, Dundee, Scotland, UK
| | - Heather Cassie
- School of Dentistry, University of Dundee, Dundee, Scotland, UK
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Zhang Y, Ding W, Dai X, Wang H, Cheng Y, Dai J, Zhu X, Xu X. Burden of multiple high-risk factors in pregnancy before and after the universal two-child policy in Chinese women: An observational study. J Glob Health 2024; 14:04134. [PMID: 39024620 PMCID: PMC11257705 DOI: 10.7189/jogh.14.04134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Abstract
Background The prevalence of high-risk pregnancy increased after the implementation of two-child policy in China, but the impact of this policy change on the burden and profile of multiple high-risk factors in pregnancy (MHFP) has been insufficiently explored. We hypothesised that the profile of MHFP might have changed after the two-child policy was implemented and aimed to estimate the prevalence, intercorrelation, and outcomes of MHFP before and after its introduction. Methods We obtained data on the population of pregnant women before (2015) and after (2020/2021) the implementation of universal two-child policy in Huai'an. We then included 33 risk factors in our analysis based on the Five-Colour Management framework and defined MHFP as an individual having two or more of these factors. We also estimated the changes of the prevalence of each single factor and their coexistence. Lastly, we performed a network analysis to assess the intercorrelations across these factors and used logistic regression models to evaluate MHFP-related pregnancy outcomes. Results We observed an increase in the prevalence of MHFP after the implementation of the universal two-child policy (25.8% in 2015 vs 38.4% in 2020/2021, P < 0.01). Chronic conditions (e.g. gestational diabetes mellitus, abnormal body mass index) had the largest increase among the included factors, while cardiovascular disease and hypertensive disorders were central factors of the network structures. The correlations of advanced maternal age with abnormal pregnancy histories and scarred uteri increased significantly from 2015 to 2020/2021. MHFP was associated with multiple pregnancy outcomes, including preterm birth (adjusted odds ratio (aOR) = 2.57; 95% confidence interval (CI) = 2.39-2.75), low birthweight (aOR = 2.77; 95% CI = 2.54-3.02), low Apgar score (aOR = 1.41; 95% CI = 1.19-1.67), perinatal death (aOR = 1.75; 95% CI = 1.44-2.12), and neonatal death (aOR = 1.76; 95% CI = 1.42-2.18). Moreover, an increasing number and certain combinations of MHFP were associated with higher odds of pregnancy outcomes. For example, the aOR of preterm birth increased from 1.67 (95% CI = 1.52-1.87) for one risk factor to 8.03 (95% CI = 6.99-9.22) for ≥4 risk factors. Conclusions Chinese women experienced a higher burden of multiple high-risk factors after the introduction of the two-child policy, particularly those with advanced maternal age, obesity, and chronic conditions. Strategies targeting chronic conditions for women with MHFP should be prioritised and a shift to a multiple-factor-oriented framework is needed in the expanding Chinese maternal health care system.
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Affiliation(s)
- Yue Zhang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Weijie Ding
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaochen Dai
- Department of Health Metrics Science, School of Medicine, University of Washington, Seattle, Washington, USA
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
| | - Hui Wang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Yangyang Cheng
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Jiyue Dai
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaoqin Zhu
- Health Care Department, Huai’an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai’an City, Jiangsu Province, China
| | - Xiaolin Xu
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Bestman PL, Kolleh EM, Moeng E, Brhane T, Nget M, Luo J. Association between multimorbidity of pregnancy and adverse birth outcomes: A systemic review and meta-analysis. Prev Med 2024; 180:107872. [PMID: 38272269 DOI: 10.1016/j.ypmed.2024.107872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/18/2023] [Accepted: 01/18/2024] [Indexed: 01/27/2024]
Abstract
Multimorbidity (≥2 co-existing conditions) in pregnancy is a significant public health issue with a rising prevalence worldwide. However, the association between pregnancy multimorbidity and adverse birth outcomes is unclear. So, this review assessed the association between pregnancy-multimorbidity and adverse birth outcomes (preterm birth, abnormal birth weight, neonatal mortality, and stillbirth). Relevant peer-reviewed papers in PubMed, Web of Science, Elsevier/ScienceDirect, and Google Scholar were systematically search from January 1990 to March 2023. We used the random-effects model to calculate the multimorbidity pooled odds ratio, quantified heterogeneity using I2 statistics, and performed subgroup and sensitivity analyses in Stata version 17. The review protocol is registered with PROSPERO (CRD42023421336). The meta-analysis included 21 observational studies involving 6,523,741 pregnant women. The overall pooled odds of pregnancy multimorbidity associated with adverse birth outcomes were 3.11(2.14-4.09), 3.76(2.56-4.96) in Europe, 3.38(1.18-5.58) in North America, and 2.94(0.78-5.09) in Asia. Pregnant women with psychological and physical multimorbidity had increased odds of 5.65(1.71-9.59) and 2.75(1.71-9.58), respectively, for adverse birth outcomes. Pregnancy multimorbidity was associated with preterm birth 4.28(2.23-6.34), large gestational age (>90 percentile) 3.33(1.50-5.17), macrosomia (≥4000 g) 2.16(0.34-3.98), and small gestational age (<10th percentile) 3.52(1.54-5.51). There is substantial variance in the odds of pregnancy multimorbidity by type of comorbidity and type of adverse birth outcome, attributed to differences in the healthcare system by geographical location. Therefore, prioritizing pregnant women with multimorbidity is crucial for effective and integrative interventions.
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Affiliation(s)
- Prince L Bestman
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Edwina M Kolleh
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Eva Moeng
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Tesfit Brhane
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Musa Nget
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China
| | - Jiayou Luo
- Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China.
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