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McPherson NO, Vincent AD, Zander-Fox D, Grieger JA. Birthweight associations with parental obesity: retrospective analysis of 1,778 singleton term births following assisted reproductive treatment. F S Rep 2021; 2:405-412. [PMID: 34934980 PMCID: PMC8655430 DOI: 10.1016/j.xfre.2021.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/24/2021] [Accepted: 04/24/2021] [Indexed: 11/06/2022] Open
Abstract
Objective To determine the association of combined parental preconception overweight and obesity on infant birthweight. Design Retrospective study of fresh in vitro fertilization or intracytoplasmic sperm injection cycles (2009–2017). Setting Repromed, South Australia, assisted reproductive technology clinic. Patients Couples undergoing in vitro fertilization/intracytoplasmic sperm injection insemination with their own gametes and transfer of a fresh single blastocyst (N = 1,778). Intervention(s) None. Main Outcome Measures Parental body mass index (BMI) was recorded prior to cycle initiation. Infant birthweight was recorded at delivery. The impact of parental obesity and their interaction on first singleton term (≥37 weeks’ gestation) birthweight was assessed using linear regressions assessing nonlinearity and a pairwise linear interactions. Results In the base model where parental BMI is assumed linear, there was strong evidence for higher birthweight with increasing maternal BMI (11.2 g per maternal kg/m2; 95% confidence interval, 7.2, 15.1) but not paternal BMI. The inclusion of a pairwise linear interaction indicated that paternal BMI attenuates the positive association between maternal BMI and infant birthweight (interaction −0.88; 95% confidence interval, −1.49, −0.27). The inclusion of nonlinear maternal BMI terms did not change the conclusions. Conclusions Increases in the mean infant birthweight associated with maternal obesity are attenuated when the father is obese. While maternal BMI contributed more to the mean infant birthweight than paternal BMI, a couple-centered approach to preconception health advice is recommended, given the documented relationships between parental obesity and childhood weight beyond infancy. Further studies in both assisted reproductive technology and general population cohorts assessing the parental BMI interaction on infant birthweight are warranted.
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Affiliation(s)
- Nicole O McPherson
- Freemasons Center for Male Health and Wellbeing, University of Adelaide, South Australia, Australia.,Robinson Research Institute, University of Adelaide, South Australia, Australia.,Repromed, Dulwich, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
| | - Andrew D Vincent
- Freemasons Center for Male Health and Wellbeing, University of Adelaide, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, South Australia, Australia
| | - Deirdre Zander-Fox
- Robinson Research Institute, University of Adelaide, South Australia, Australia.,Repromed, Dulwich, South Australia, Australia.,Monash IVF Group, Clayton, Victoria, Australia.,Faculty of Science, Monash University, Clayton, Victoria, Australia.,Future Industries Institute, University of South Australia, Mawson Lakes, South Australia, Australia
| | - Jessica A Grieger
- Robinson Research Institute, University of Adelaide, South Australia, Australia.,Faculty of Health and Medical Sciences, University of Adelaide, South Australia, Australia
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Shi XW, Yue J, Lyu M, Wang L, Bai E, Tie LJ. [Influence of pre-pregnancy parental body mass index, maternal weight gain during pregnancy, and their interaction on neonatal birth weight]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2019; 21:783-788. [PMID: 31416503 PMCID: PMC7389910 DOI: 10.7499/j.issn.1008-8830.2019.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 06/13/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To investigate the influence of pre-pregnancy parental body mass index (BMI), maternal weight gain during pregnancy, and their interaction on neonatal birth weight. METHODS A total of 1 127 pregnant women who underwent regular prenatal examinations and full-term singleton delivery in the First Hospital of Xi'an Jiaotong University from January 2017 to October 2018 were enrolled. The data on their pre-pregnancy BMI, maternal weight gain during pregnancy, pre-pregnancy BMI of the husband, and neonatal birth weight were collected. The interaction between pre-pregnancy parental BMI and maternal weight gain during pregnancy was analyzed, and their correlation with neonatal birth weight was analyzed. RESULTS Among the 1 127 full-term neonates, the detection rates of low birth weight neonates and macrosomia were 2.22% (25/1 127) and 3.82% (43/1 127) respectively. There were significant differences in pre-pregnancy parental BMI and maternal weight gain during pregnancy among the low birth weight, normal birth weight, and macrosomia groups (P<0.05). Neonatal birth weight was positively correlated with pre-pregnancy parental BMI and maternal weight gain during pregnancy (r=0.097-0.322, P<0.05). Low maternal weight before pregnancy increased the risk of low birth weight (RR=4.17, 95%CI: 1.86-9.38), and maternal overweight/obesity before pregnancy (RR=3.59, 95%CI: 1.93-6.67) and excessive weight gain during pregnancy (RR=3.21, 95%CI: 1.39-7.37) increased the risk of macrosomia. No interaction between pre-pregnancy maternal BMI and maternal weight gain during pregnancy was observed. CONCLUSIONS Pre-pregnancy parental BMI and maternal weight gain during pregnancy are related to neonatal birth weight, and there is no interaction between pre-pregnancy maternal BMI and maternal weight gain during pregnancy.
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Affiliation(s)
- Xiao-Wei Shi
- Department of Pediatrics, First Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
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Gaya AR, Reuter CP, Reuter ÉM, Franke SIR, Prá D, Gaya ACA, Burgos LT, Mota J, Burgos MS. Cumulative incidence of youth obesity is associated with low cardiorespiratory fitness levels and with maternal overweight. MOTRIZ: REVISTA DE EDUCACAO FISICA 2015. [DOI: 10.1590/s1980-65742015000400010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract This longitudinal study evaluated the association between the incidence of youth overweight/obesity (Ow/Ob) and low levels of cardiorespiratory fitness (CRF) over 4 years and youths' and their parents' demographic and nutritional characteristics. The randomized sample comprised 398 youth, aged 7-17 years at baseline, from a city in southern Brazil. Subjects were classified as being Ow/Ob according to international body mass index (BMI) parameters. Parental weight and height were determined by direct questioning. Youth CRF was measured by a 9-minute walk-and-run test. The cumulative incidences of Ow/Ob and of low CRF levels were 25.1% and 20.5%, respectively. Relative to other youth, youth who were classified as "unhealthy" at baseline (with respect to CRF) and by the fourth year were more likely to be classified as Ow/Ob (relative risks: 1.12 and 1.10, respectively). Youth whose mothers were categorized as Ow/Ob were at higher risk of being classified as Ow/Ob than youth whose mothers had normal BMIs (relative risks: 1.19 at baseline and 1.20 in the fourth year). The incidence of Ow/Ob among the former youth was associated with low CRF levels and with maternal Ob.
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Affiliation(s)
| | | | | | | | - Daniel Prá
- Universidade de Santa Cruz do Sul, Brazil
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Yang S, Zhou A, Xiong C, Yang R, Bassig BA, Hu R, Zhang Y, Yao C, Zhang Y, Qiu L, Qian Z, Trevathan E, Flick L, Xu S, Wang Y, Xia W, Zheng T, Zhang B. Parental Body Mass Index, Gestational Weight Gain, and Risk of Macrosomia: a Population-Based Case-Control Study in China. Paediatr Perinat Epidemiol 2015; 29:462-71. [PMID: 26228295 DOI: 10.1111/ppe.12213] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND The prevalence of macrosomia has risen markedly worldwide, including in China, during the past two decades. Few epidemiological studies, however, have investigated the risk factors for macrosomia in China. This study was designed to investigate the associations between parental anthropometric characteristics, gestational weight gain (GWG), and risk of macrosomia in China. METHODS This population-based, case-control study in Wuhan, China, included a total of 6341 subjects (870 cases and 5471 controls). Multivariable logistic regression was conducted to calculate odds ratios (OR) and 95% confidence intervals (CI). RESULTS Mothers or fathers who were overweight or obese before pregnancy had an elevated risk of giving birth to a macrosomic infant compared with their normal weight counterparts. Women with GWG above the Institute of Medicine (IOM) recommendation had an adjusted OR of 6.09 [95% CI 5.04, 7.35] for delivering a macrosomic infant compared with women who had GWG within the IOM recommendation. When stratified by maternal pre-pregnancy body mass index (BMI), women who were underweight or normal weight before pregnancy were observed to have a higher risk of macrosomia birth associated with greater GWG. CONCLUSIONS Parental pre-pregnancy overweight/obesity and excessive GWG during pregnancy were highly associated with macrosomia. The association with GWG was most pronounced in mothers who had a normal or underweight pre-pregnancy BMI. Weight control efforts before pregnancy for mothers and fathers as well as control of maternal gain during pregnancy may reduce the risk of macrosomia.
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Affiliation(s)
- Shaoping Yang
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Aifen Zhou
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Chao Xiong
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Rong Yang
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Bryan A Bassig
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Ronghua Hu
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Yiming Zhang
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Cong Yao
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Yaqi Zhang
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Lin Qiu
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
| | - Zhengmin Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO
| | - Edwin Trevathan
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO
| | - Louise Flick
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO
| | - Shunqing Xu
- Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tongzhang Zheng
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Bin Zhang
- Healthcare Department, Wuhan Women and Children Medical and Healthcare Center, Wuhan, Hubei, China
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