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Martínez-Hortelano JA, González PB, Rodríguez-Rojo IC, Garrido-Miguel M, Arenas-Arroyo SND, Sequí-Domínguez I, Martínez-Vizcaíno V, Berlanga-Macías C. Interpregnancy weight change and neonatal and infant outcomes: A systematic review and meta-analysis. Ann Epidemiol 2024; 97:1-10. [PMID: 39002666 DOI: 10.1016/j.annepidem.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 07/04/2024] [Accepted: 07/07/2024] [Indexed: 07/15/2024]
Abstract
PURPOSE To synthesize evidence regarding the association between interpregnancy weight change (IPWC) in consecutive pregnancies and neonatal or infant outcomes in the subsequent pregnancy. METHODS Search strategy was implemented in MEDLINE, EMBASE, Web of Science, Scopus and Cochrane Library from their inception to 13 November 2023. The most adjusted odds ratio (OR) or risk ratio estimates provided by original studies were used to calculate pooled risk ratios and their corresponding 95 % confidence intervals (CI) with the DerSimonian and Laird random effects method. Publication bias was assessed by funnel plots and Egger's method, and risk of bias was assessed with The NewcastleOttawa Quality Assessment Scale. RESULTS Thirty-seven observational studies were included. Interpregnancy weight loss or gain were associated with large for gestational age (OR: 0.89; 95 % CI: 0.84-0.94; I2 = 83.6 % and OR: 1.33; 95 % CI:1.26-1.40; I2 = 98.9 %), and stillbirth risk (OR: 1.10; 95 % CI: 1.01-1.18; I2 = 0.0 % and OR: 1.21; 95 % CI: 1.09-1.33; I2 = 60.2 %,). CONCLUSIONS Findings highlight the importance of managing weight between interpregnancy periods, although these findings should be interpreted cautiously because of the possible influence of social determinants of health and other factors.
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Affiliation(s)
- José Alberto Martínez-Hortelano
- Universidad de Alcalá, Facultad de Enfermería y Fisioterapia, Departamento de Enfermería y Fisioterapia, Enfermería, Cuidado comunitario y Determinantes Sociales de la Salud, Madrid, Spain; University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain
| | - Patricia Blázquez González
- Universidad de Alcalá, Facultad de Enfermería y Fisioterapia, Departamento de Enfermería y Fisioterapia, Enfermería, Cuidado comunitario y Determinantes Sociales de la Salud, Madrid, Spain; Department of Nursing, Red Cross University, Madrid, Spain
| | - Inmaculada Concepción Rodríguez-Rojo
- Universidad de Alcalá, Facultad de Enfermería y Fisioterapia, Departamento de Enfermería y Fisioterapia, Enfermería, Cuidado comunitario y Determinantes Sociales de la Salud, Madrid, Spain; Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
| | - Miriam Garrido-Miguel
- University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain; Universidad de Castilla-La Mancha, Facultad de Enfermería de Albacete, Albacete, Spain
| | - Sergio Núñez de Arenas-Arroyo
- University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Cuenca, Spain
| | - Irene Sequí-Domínguez
- University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain; Universidad de Castilla-La Mancha, Facultad de Enfermería de Albacete, Albacete, Spain
| | - Vicente Martínez-Vizcaíno
- University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain; Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
| | - Carlos Berlanga-Macías
- University of Castilla-La Mancha, Health Care and Social Research Center, Cuenca, Spain; Universidad de Castilla-La Mancha, Facultad de Enfermería de Albacete, Albacete, Spain
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2
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Song Z, Cheng Y, Li T, Fan Y, Zhang Q, Cheng H. Prediction of gestational diabetes mellitus by different obesity indices. BMC Pregnancy Childbirth 2022; 22:288. [PMID: 35387610 PMCID: PMC8988347 DOI: 10.1186/s12884-022-04615-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/21/2022] [Indexed: 11/18/2022] Open
Abstract
Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed. Methods A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM. Results A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM. Conclusions An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM.
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Affiliation(s)
- Zhimin Song
- Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China
| | - Yan Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Tingting Li
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Yongfang Fan
- Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China
| | - Qingying Zhang
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Haidong Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China.
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Nagpal TS, Souza SCS, Moffat M, Hayes L, Nuyts T, Liu RH, Bogaerts A, Dervis S, Piccinini-Vallis H, Adamo KB, Heslehurst N. Does prepregnancy weight change have an effect on subsequent pregnancy health outcomes? A systematic review and meta-analysis. Obes Rev 2022; 23:e13324. [PMID: 34694053 DOI: 10.1111/obr.13324] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/25/2021] [Accepted: 07/05/2021] [Indexed: 11/26/2022]
Abstract
International guidelines recommend women with an overweight or obese body mass index (BMI) aim to reduce their body weight prior to conception to minimize the risk of adverse perinatal outcomes. Recent systematic reviews have demonstrated that interpregnancy weight gain increases women's risk of developing adverse pregnancy outcomes in their subsequent pregnancy. Interpregnancy weight change studies exclude nulliparous women. This systematic review and meta-analysis was conducted following MOOSE guidelines and summarizes the evidence of the impact of preconception and interpregnancy weight change on perinatal outcomes for women regardless of parity. Sixty one studies met the inclusion criteria for this review and reported 34 different outcomes. We identified a significantly increased risk of gestational diabetes (OR 1.88, 95% CI 1.66, 2.14, I2 = 87.8%), hypertensive disorders (OR 1.46 95% CI 1.12, 1.91, I2 = 94.9%), preeclampsia (OR 1.92 95% CI 1.55, 2.37, I2 = 93.6%), and large-for-gestational-age (OR 1.36, 95% CI 1.25, 1.49, I2 = 92.2%) with preconception and interpregnancy weight gain. Interpregnancy weight loss only was significantly associated with increased risk for small-for-gestational-age (OR 1.29 95% CI 1.11, 1.50, I2 = 89.9%) and preterm birth (OR 1.06 95% CI 1.00, 1.13, I2 = 22.4%). Our findings illustrate the need for effective preconception and interpregnancy weight management support to improve pregnancy outcomes in subsequent pregnancies.
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Affiliation(s)
- Taniya S Nagpal
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Sara C S Souza
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Malcolm Moffat
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Louise Hayes
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Tinne Nuyts
- Department of Development and Regeneration, Research Unit Woman and Child, KU Leuven, Leuven, Belgium
| | - Rebecca H Liu
- Institute for Health System Solutions & Virtual Care, Women's College Hospital, Toronto, Canada
| | - Annick Bogaerts
- Department of Development and Regeneration, Research Unit Woman and Child, KU Leuven, Leuven, Belgium.,Faculty of Medicine and Health Sciences, Centre for Research and Innovation in Care (CRIC), University of Antwerp, Antwerp, Belgium.,Faculty of Health, University of Plymouth, Plymouth, UK
| | - Sheila Dervis
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Helena Piccinini-Vallis
- Faculty of Medicine, Departments of Family Medicine and Obstetrics and Gynecology, Dalhousie University, Halifax, Canada
| | - Kristi B Adamo
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Nicola Heslehurst
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
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Li W, Zuo L, Ni Y, Xiao D, Mo W, Wen Z, Zhao J, Zhang J, Yang L. Interpregnancy interval and subsequent perinatal risk of congenital heart disease in Guangzhou, Southern China: a retrospective cohort study, 2014-2019. J Matern Fetal Neonatal Med 2021; 35:8989-8997. [PMID: 34847800 DOI: 10.1080/14767058.2021.2008898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The association between maternal interpregnancy interval (IPI) and congenital heart disease (CHD) in neonates remains inconclusive. This study aimed to examine the effect of maternal IPI on birth risk of CHD. METHODS Chinese women with two consecutive singleton deliveries in Guangzhou between January 2014 and December 2019 were selected as participants. Information on IPI and CHD was extracted from the Guangzhou Perinatal Health Care and Delivery Registry and the Guangzhou Birth Defects Surveillance Program. We stratified IPI into four categories: <24 months, 24-35 months, 36-59 months, and ≥60 months. A multivariate logistic regression model was used to examine the association between IPI and CHD. Subgroup analysis was also performed to assess whether the associations differed across top three CHD subtypes. RESULTS For 119,510 women enrolled in this study, the mean ages at two consecutive deliveries were 26.2 ± 3.8 and 28.8 ± 4.0 years, which yielded a median IPI of 51.2 (interquartile range, 32.1-77.2) months. Among them, 828 delivered infants with CHD during their second pregnancy. There was a J-shaped curve relationship between IPI and CHD with the lowest birth prevalence (5.33‰) at 24-35-month interval. Compared to women with an IPI of 24-35 months, those with an IPI ≥60 had an increased risk of delivering infants with CHD (adjusted odds ratio (OR), 1.41; 95% confidence interval (CI), 1.19-1.64). However, for those with an IPI <24 months (adjusted OR, 1.24; 95% CI, 0.97-1.51), IPI was statistically insignificant associated with the risk of delivering infants with CHD (p = .12). There were different patterns of associations for different CHD subtypes. CONCLUSIONS Longer maternal IPI (≥60 months) was associated with an increased risk of delivering infants with CHD in the Chinese population.
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Affiliation(s)
- Weidong Li
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Liandong Zuo
- Department of Science Research and Education Management, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yanyan Ni
- Institute for Women's Health, University College London, London, UK
| | - Di Xiao
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Weijian Mo
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zihao Wen
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jing Zhao
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jinxin Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Yang
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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5
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Does interpregnancy BMI change affect the risk of complications in the second pregnancy? Analysis of pooled data from Aberdeen, Finland and Malta. Int J Obes (Lond) 2021; 46:178-185. [PMID: 34608251 PMCID: PMC8748194 DOI: 10.1038/s41366-021-00971-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 09/08/2021] [Accepted: 09/15/2021] [Indexed: 12/16/2022]
Abstract
Objective Weight management interventions during pregnancy have had limited success in reducing the risk of pregnancy complications. Focus has now shifted to pre-pregnancy counselling to optimise body weight before subsequent conception. We aimed to assess the effect of interpregnancy body mass index (BMI) change on the risk of perinatal complications in the second pregnancy. Methods A cohort study was performed using pooled maternity data from Aberdeen, Finland and Malta. Women with a BMI change of ±2 kg/m2 between their first and second pregnancies were compared with those who were BMI stable (remained within ±2 kg/m2). Outcomes assessed included pre-eclampsia (PE), intrauterine growth restriction (IUGR), preterm birth, birth weight, and stillbirth in the second pregnancy. We also assessed the effect of unit change in BMI for PE and IUGR. Logistic regression was used to calculate odds ratios with 95% confidence intervals. Results An increase of ≥2 kg/m2 between the first two pregnancies increased the risk of PE (1.66 (1.49–1.86)) and high birthweight (>4000 g) (1.06 (1.03–1.10)). A reduction of ≥2 kg/m2 increased the chance of IUGR (1.15 (1.01–1.31)) and preterm birth (1.14 (1.01–1.30)), while reducing the risk of instrumental delivery (0.75 (0.68–0.85)) and high birthweight (0.93 (0.87–0.98)). Reducing BMI did not significantly decrease PE risk in women with obesity or those with previous PE. A history of PE or IUGR in the first pregnancy was the strongest predictor of recurrence independent of interpregnancy BMI change (5.75 (5.30–6.24) and (7.44 (6.71–8.25), respectively). Conclusion Changes in interpregnancy BMI have a modest impact on the risk of high birthweight, PE and IUGR in contrasting directions. However, a prior history of PE and IUGR is the dominant predictor of recurrence at second pregnancy.
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Petersen JM, Yazdy MM, Getz KD, Anderka MT, Werler MM. Short interpregnancy intervals and risks for birth defects: support for the nutritional depletion hypothesis. Am J Clin Nutr 2021; 113:1688-1699. [PMID: 33668063 PMCID: PMC8168364 DOI: 10.1093/ajcn/nqaa436] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 12/17/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Research suggests short interpregnancy intervals increase risks for adverse perinatal outcomes, including some birth defects. A hypothesized cause is nutritional depletion, including folic acid (FA). OBJECTIVES We evaluated associations between short interpregnancy intervals, alone and in combination with FA intake, and the occurrence of select malformations. METHODS Data were from the National Birth Defects Prevention Study (US case-control, 1997-2011). Participants included multiparous women whose prior pregnancy resulted in live birth. Cases included 8 noncardiac and 6 cardiac defect groups (n = 3219); controls were nonmalformed live-borns (n = 2508). We categorized interpregnancy interval (<6, 6-11, 12-17, and 18-23 mo) and periconceptional FA intake [no FA supplement use and dietary folate equivalents (DFE) <400 µg/d, no FA supplement use and DFE ≥400 µg/d, or any FA supplement use]. We controlled for age, race/ethnicity, income, pregnancy intention, and study center. ORs <0.8 or >1.2 were considered to represent potentially meaningful associations. RESULTS ORs for <6 compared with 18-23 mo were >1.2 for 4/8 noncardiac and 3/6 cardiac malformations. Among participants with any FA supplement use, ORs comparing <6 with 6-23 mo were <1.2 for most defects. Conversely, most ORs were >1.2 for <6 mo + no FA supplement use and DFE <400 µg/d compared with 6-23 mo + any FA supplement use. Magnitude and precision varied by defect. CONCLUSIONS Short interpregnancy intervals were associated with a trend of higher risks for several defects, notably in the absence of FA supplement use. To our knowledge, our study is the first to provide preliminary empirical support that these etiologies may be related to shorter interpregnancy intervals and possible nutritional deficiencies. Because FA intake is highly correlated with other nutrients, and because our estimates were generally imprecise, more research with larger sample sizes is needed to better understand the role of FA compared with other nutrients in each defect-specific etiology.
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Affiliation(s)
- Julie M Petersen
- Department of Epidemiology, Boston University School of Public Health, Boston, MA USA
| | - Mahsa M Yazdy
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, MA USA
| | - Kelly D Getz
- Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA USA.,Departments of Biostatistics, Epidemiology and Informatics, and Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marlene T Anderka
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, MA USA
| | - Martha M Werler
- Department of Epidemiology, Boston University School of Public Health, Boston, MA USA
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Martínez-Hortelano JA, Cavero-Redondo I, Álvarez-Bueno C, Díez-Fernández A, Hernández-Luengo M, Martínez-Vizcaíno V. Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Obesity (Silver Spring) 2021; 29:454-464. [PMID: 33491318 DOI: 10.1002/oby.23083] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 10/29/2020] [Accepted: 11/09/2020] [Indexed: 11/10/2022]
Abstract
OBJECTIVE This study aimed to synthesize evidence regarding the association between interpregnancy weight change (IPWC) and gestational diabetes mellitus (GDM) in the subsequent pregnancy. METHODS MEDLINE, EMBASE, Cochrane Library, and Web of Science were searched from inception to May 10, 2020. This review included studies that reported the association between IPWC and GDM in the subsequent pregnancy without restriction on study design, IPWC classification, or parity. The "no weight change" interpregnancy category was defined by each study, and data were synthesized to analyze the risk of GDM according to weight change. RESULTS Thirteen observational studies were included. A higher risk of GDM in the subsequent pregnancy when there was interpregnancy weight gain (odds ratio [OR] = 1.56; 95% CI: 1.30-1.83; I2 = 82.30%) was found. However, interpregnancy weight loss was associated with lower risk of GDM in the subsequent pregnancy (OR = 0.83; 95% CI: 0.68-0.98; I2 = 58.10%), but the decrease in the risk of GDM in the subsequent pregnancy was greater among women with pregestational BMI higher than 25 kg/m2 (OR = 0.58; 95% CI: 0.39-0.77; I2 = 0.00%). CONCLUSIONS The risk of GDM in the subsequent pregnancy increases with interpregnancy weight gain, whereas it decreases with interpregnancy weight loss.
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Affiliation(s)
- Jose Alberto Martínez-Hortelano
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Department of Primary Care, Health Service of Madrid (SERMAS), Madrid, Spain
| | - Iván Cavero-Redondo
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asuncion, Paraguay
| | - Celia Álvarez-Bueno
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asuncion, Paraguay
| | - Ana Díez-Fernández
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
| | | | - Vicente Martínez-Vizcaíno
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Faculty of Health Sciences, Universidad Autónoma de Chile, Talca, Chile
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9
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Maternal weight change between successive pregnancies: an opportunity for lifecourse obesity prevention. Proc Nutr Soc 2020; 79:272-282. [PMID: 32624015 DOI: 10.1017/s0029665120007065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Maternal obesity is a major risk factor for adverse health outcomes for both the mother and the child, including the serious public health problem of childhood obesity which is globally on the rise. Given the relatively intensive contact with health/care professionals following birth, the interpregnancy period provides a golden opportunity to focus on preconception and family health, and to introduce interventions that support mothers to achieve or maintain a healthy weight in preparation for their next pregnancy. In this review, we summarise the evidence on the association between interpregnancy weight gain with birth and obesity outcomes in the offspring. Gaining weight between pregnancies is associated with an increased risk of large-for-gestational age (LGA) birth, a predictor of childhood obesity, and weight loss between pregnancies in women with overweight or obesity seems protective against recurrent LGA. Interpregnancy weight loss seems to be negatively associated with birthweight. There is some suggestion that interpregnancy weight change may be associated with preterm birth, but the mechanisms are unclear and the direction depends if it is spontaneous or indicated. There is limited evidence on the direct positive link between maternal interpregnancy weight gain with gestational diabetes, pre-eclampsia, gestational hypertension and obesity or overweight in childhood, with no studies using adult offspring adiposity outcomes. Improving preconception health and optimising weight before pregnancy could contribute to tackling the rise in childhood obesity. Research testing the feasibility, acceptability and effectiveness of interventions to optimise maternal weight and health during this period is needed, particularly in high-risk and disadvantaged groups.
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10
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Timmermans YEG, van de Kant KDG, Oosterman EO, Spaanderman MEA, Villamor-Martinez E, Kleijnen J, Vreugdenhil ACE. The impact of interpregnancy weight change on perinatal outcomes in women and their children: A systematic review and meta-analysis. Obes Rev 2020; 21:e12974. [PMID: 31751496 PMCID: PMC7050512 DOI: 10.1111/obr.12974] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 10/03/2019] [Accepted: 10/12/2019] [Indexed: 12/12/2022]
Abstract
Prepregnancy overweight and obesity are associated with higher risk of perinatal complications. However, the effect of weight change prior to pregnancy on perinatal outcome is largely unknown. Therefore, it is aimed to examine the impact on perinatal outcomes of interpregnancy BMI change in women of different BMI categories. The MEDLINE, EMBASE, LILACS, and CINAHL databases were searched (1990-August 2019). Observational studies on interpregnancy BMI change were selected. Outcomes evaluated were gestational diabetes mellitus (GDM), preeclampsia, gestational hypertension (GH), cesarean section, preterm birth, and newborns being large (LGA) or small (SGA) for gestational age. Meta-analyses and meta-regression analyses were executed. Thirty studies were included (n > 1 million). Interpregnancy BMI gain was associated with a higher risk of GDM (for BMI gain ≥3 kg/m2 : OR 2.21; [95%CI 1.53-3.19]), preeclampsia (1.77 [1.53-2.04]), GH (1.78 [1.61-1.97]), cesarean section (1.32 [1.24-1.39]), and LGA (1.54 [1.28-1.86]). The effects of BMI gain were most pronounced in women with BMI <25 kg/m2 before the first pregnancy regarding GDM, GH, and cesarean section. Except for LGA, interpregnancy BMI loss did not result in a decreased risk of perinatal complications. In this study, women of normal weight who gain weight before pregnancy were identified as a high-risk population for perinatal complications. This emphasizes that weight management is important for women of all BMI categories and a pregnancy wish.
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Affiliation(s)
- Yvon E G Timmermans
- Department of Pediatrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.,School for Oncology and Developmental Biology (GROW), Maastricht University, Maastricht, The Netherlands
| | - Kim D G van de Kant
- Department of Pediatrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.,School for Public Health and Primary Health Care (CAPHRI), Department of Family Medicine, Maastricht University, Maastricht, The Netherlands
| | - Elise O Oosterman
- Department of Pediatrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Marc E A Spaanderman
- School for Oncology and Developmental Biology (GROW), Maastricht University, Maastricht, The Netherlands.,Department of Gynecology and Obstetrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Eduardo Villamor-Martinez
- Department of Pediatrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.,School for Oncology and Developmental Biology (GROW), Maastricht University, Maastricht, The Netherlands
| | - Jos Kleijnen
- School for Public Health and Primary Health Care (CAPHRI), Department of Family Medicine, Maastricht University, Maastricht, The Netherlands
| | - Anita C E Vreugdenhil
- Department of Pediatrics, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands.,School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands
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11
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Teulings NEWD, Masconi KL, Ozanne SE, Aiken CE, Wood AM. Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis. BMC Pregnancy Childbirth 2019; 19:386. [PMID: 31660893 PMCID: PMC6819632 DOI: 10.1186/s12884-019-2566-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 10/22/2019] [Indexed: 02/07/2023] Open
Abstract
Background Although obesity is a well-known risk factor for adverse pregnancy outcomes, evidence is sparse about the effects of interpregnancy weight change on the risk of adverse perinatal complications in a subsequent pregnancy. The current study aims to assess the effect of interpregnancy weight change on the risk of developing gestational diabetes, pre-eclampsia, pregnancy induced hypertension, preterm birth, or delivering a large- or small-for-gestational age neonate. Methods Pubmed, Ovid Embase, ClinicalTrial.gov and the Cochrane library were systematically searched up until July 24th, 2019. Interpregnancy weight change was defined as the difference between pre-pregnancy weight of an index pregnancy and a consecutive pregnancy. Inclusion criteria included full text original articles reporting quantitative data about interpregnancy weight change in multiparous women with any time interval between consecutive births and the risk of any perinatal complication of interest. Studies reporting adjusted odds ratios and a reference group of − 1 to + 1 BMI unit change between pregnancies were harmonised by meta-analysis. Results Twenty-three cohort studies identified a total of 671,906 women with two or more consecutive pregnancies. Seven of these studies were included in the meta-analysis (280,672 women). Interpregnancy weight gain was consistently associated with a higher risk of gestational diabetes, pre-eclampsia, pregnancy induced hypertension and large-for-gestational age births. In contrast, interpregnancy weight loss was associated with a lower risk of delivering a large-for-gestational age neonate. The effect magnitude (relative risk) of interpregnancy weight gain on pregnancy induced hypertension or delivering a large-for-gestational age neonate was greater among women with a normal BMI in the index pregnancy compared to women with a starting BMI ≥25 kg/m2. Conclusion These findings confirm that interpregnancy weight change impacts the risk of developing perinatal complications in a subsequent pregnancy. This provides evidence in support of guidelines encouraging women to achieve post-partum weight loss, as their risk of perinatal complications might be minimised if they return to their pre-pregnancy weight before conceiving again. Prospectively registered with PROSPERO (CRD42017067326).
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Affiliation(s)
- Noor E W D Teulings
- Department of Public Health and Primary Care, University of Cambridge, 2 Worth's Causeway Cambridge, Cambridge, CB1 8RN, UK. .,University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
| | - Katya L Masconi
- Department of Public Health and Primary Care, University of Cambridge, 2 Worth's Causeway Cambridge, Cambridge, CB1 8RN, UK
| | - Susan E Ozanne
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Catherine E Aiken
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.,Department of Obstetrics and Gynaecology, University of Cambridge, Box 223, The Rosie Hospital and NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, UK
| | - Angela M Wood
- Department of Public Health and Primary Care, University of Cambridge, 2 Worth's Causeway Cambridge, Cambridge, CB1 8RN, UK
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