Preconception Body Mass Index Research Articles

Time-to-conception and clinical pregnancy rate with a myo-inositol, probiotics, and micronutrient supplement: secondary outcomes of the NiPPeR randomized trial

To determine whether a combined myo-inositol, probiotics and micronutrient nutritional supplement impacts time-to-natural-conception and clinical pregnancy rates. Secondary outcomes of a double-blind randomized controlled trial. Community recruitment. Women aged 18 to 38 years planning to conceive in the United Kingdom, Singapore, and New Zealand, excluding those with diabetes mellitus or receiving fertility treatment. A standard (control) supplement (folic acid, iron, calcium, iodine, β-carotene), compared with an intervention additionally containing myo-inositol, probiotics, and other micronutrients (vitamins B2, B6, B12, D, zinc). Number of days between randomization and estimated date of natural conception of a clinical pregnancy, as well as cumulative pregnancy rates at 3, 6, and 12 months. Of 1729 women randomized, 1437 (83%; intervention, n=736; control, n=701) provided data. Kaplan-Meier curves of conception were similar between intervention and control groups; the time at which 20% achieved natural conception was 90.5 days (95% confidence interval: 80.7, 103.5) in the intervention group compared with 92.0 days (76.0, 105.1) in the control group. Cox's proportional hazard ratios (HRs) comparing intervention against control for cumulative achievement of pregnancy (adjusted for site, ethnicity, age, body mass index, and gravidity) were similar at 3, 6, and 12 months. Among both study groups combined, overall time-to-conception lengthened with higher preconception body mass index, and was longer in non-White than in White women. Among women who were overweight the intervention shortened time-to-conception compared with control regardless of ethnicity (12-month HR=1.47 [1.07, 2.02], P=.016; 20% conceived by 84.5 vs. 117.0 days) and improved it to that comparable to nonoverweight/nonobese women (20% conceived by 82.1 days). In contrast, among women with obesity, time-to-conception was lengthened with intervention compared with control (12-month HR=0.69 [0.47, 1.00]; P=.053; 20% conceived by 132.7 vs. 108.5 days); an effect predominantly observed in non-White women with obesity. Time-to-natural-conception and clinical pregnancy rates within a year were overall similar in women receiving the intervention supplement compared with control. Overweight women had a longer time-to-conception but there was suggestion that the supplement may shorten their time-to-conception to that comparable to the nonoverweight/nonobese women. Further studies are required to confirm this. clinicaltrials.gov (NCT02509988).

Characteristics of the oral glucose tolerance test in women with different pre-pregnancy body mass index and the effect of gestational diabetes mellitus on twin pregnancy outcomes

ObjectiveThis study aimed to investigate the mid-pregnancy blood glucose levels of women with singleton or twin pregnancies. MethodThe relationship between blood glucose levels and Gestational Diabetes Mellitus (GDM) was studied in women with different pre-pregnancy Body Mass Index (BMI), and the effect of GDM on twin pregnancy outcomes was analyzed. Women with twin (n = 1,985) and singleton (n = 1,985) pregnancies were categorized into underweight (BMI < 18.5 kg/m2, n = 597), normal weight (BMI: 18.5–23.9 kg/m2, n = 2,575), and overweight/obese (BMI ≥ 24 kg/m2, n = 798) groups. ResultsThe incidence of GDM was 21.01% in women with twin pregnancies. Among the women with GDM in twin pregnancies, 38.37% had at least two abnormal blood glucose levels. The incidence of these parameters increased with preconception BMI, and the incidence of twin pregnancies was higher than that of singleton pregnancies (p < 0.001). In the normal weight and overweight/obese group, the oral glucose tolerance test glucose level and incidence of GDM were higher in women with twin than singleton pregnancies (p < 0.05). For twin pregnancies, the prevalence of selective fetal growth restriction was higher and anemia was lower in the GDM group than in the non-GDM group (all p < 0.05). ConclusionTherefore, a greater emphasis should be placed on BMI before conception, and well-controlled GDM does not increase adverse pregnancy outcomes for twin pregnancies.

Assessment of Eating Habits and Preconception and Gestational Nutritional Status of Women Who Attended the Prenatal Service of a Brazilian University Hospital

Introduction Adequate nutritional status should be seen as a fundamental point of prenatal care to avoid obstetric complications and promote the baby’s health. This study aimed to compare prenatal body mass index (BMI) and BMI for gestational age (GA) and lifestyle habits of high-risk and low-risk pregnant women at a Brazilian University Hospital. Methodology This is a descriptive cross-sectional study with a quantitative approach using a questionnaire. Statistical analyzes were performed using Statistical Package for Social Sciences (SPSS) version 26.0. The significance level adopted was 5% (p&lt;0.05). Results The present research involved 78 pregnant women, 51.3% of whom were low-risk. Most pregnant women (73.1%) did not practice physical activity and, among those who did, most reported practicing between 2 and 3-hours per week of light activity. In addition, most (57.7%) interviewees reported sleeping more than 7-hours a night. The pre-pregnancy BMI was adequate in only 34.6% of the patients, while 59% were overweight (overweight or obese); at the time of the interview, BMI for gestational age was normal in only 28.2%, and 66.7% had a BMI reflecting overweight. Consumption of sweets during the week showed significant variation: the high-risk group had a higher percentage of patients who did not consume sweets during the week (44.7%) compared to the low-risk group (20%). Furthermore, while in the high-risk group, only 7.9% consumed sweets 5 to 7 times a week, 30% of the low-risk group consumed sweets 5 to 7 times a week. Conclusion The evaluated pregnant women have a prevalence of excess weight of 66.6%, higher than that of Brazilian women (53.9%). Comparison between preconception BMI and BMI for GA showed a tendency to persist in the pre-pregnancy classification; when there was a change in the distribution of the BMI classification, this occurred with a reduction in the number of underweight, eutrophic, and overweight women and an increase in the percentage of pregnant women with obesity. The diet, in general, was sufficient in terms of micronutrients and fiber, but with high consumption of sweets by low-risk pregnant women. In addition, the proportion of sedentary pregnant women is extremely high. Our study shows the importance of promoting healthy habits during prenatal care to improve pregnant women’s nutritional diagnosis

Maternal BMI in the preconception period, and association with child zBMI growth rates.

Elevated body mass index (BMI) and rapid growth in early childhood are important predictors of obesity risk. The association between maternal preconception BMI and child growth rates is unclear. To assess the association between measured maternal preconception BMI and child age- and sex- standardized WHO BMI z-score (zBMI) growth rates and mean zBMI, in children aged 0-10 years old. A longitudinal cohort study was conducted with children (n=499) enrolled in The Applied Research Group for Kids (TARGet Kids!) primary care practice-based research cohort. Maternal BMI was measured during the preconception period, defined as the 2 years prior to pregnancy. Repeated measures of child weight and height were obtained between 0 and 10 years of age. Linear mixed models were used to evaluate the association between maternal BMI and child zBMI growth rates and mean zBMI. Maternal preconception BMI was associated with child zBMI growth rate during some growth periods, with the strongest association from age 0 to 4months; a 5kg/m2 higher maternal BMI was associated with 0.031 zBMI SD unit/mo higher growth rate (p=0.004), and 0.186 SD unit higher mean child zBMI (p=0.0002). Maternal preconception BMI was associated with growth rate and mean zBMI in early childhood. The preconception period may be an important target for health interventions to promote healthy child growth rate and weight outcomes.

53 The association between maternal preconception BMI and child zBMI growth rates

Abstract Background Elevated body mass index (BMI) and rapid growth in early childhood are important predictors of obesity risk. While studies have identified an association between maternal preconception BMI and child BMI z-scores (zBMI), the association with zBMI growth rates during distinct growth periods is unclear. Objectives To assess the association between maternal preconception BMI and child zBMI growth rates and BMI z-scores, in children aged 0 to 10 years old. Additionally, to examine whether child sex and gestational weight gain (GWG) modify these associations. Design/Methods This longitudinal study consisted of healthy children (0 to 10 years) enrolled in a primary care practice-based research cohort. The exposure was maternal BMI measured during the preconception period, defined as the 2 years prior to pregnancy. The primary outcome was child zBMI growth, modeled with piecewise linear splines for age. The secondary outcome was repeated measures of child BMI z-scores. Piecewise linear mixed models were used to determine the association with growth, while linear mixed models were used for zBMI. Effect modification by child sex and GWG was explored. Results 499 children were included. Maternal preconception BMI had a small, but statistically significant association with child zBMI growth rates during some growth periods, with the strongest association from 0 to 4 months (0.007; p=0.004). Maternal preconception BMI was also associated with child zBMI; 1kg/m2 increase was associated with 0.03 zBMI increase (p=0.001). Child sex and maternal GWG did not modify these associations. Conclusion There is evidence to suggest an association between maternal preconception BMI and child zBMI growth and scores. In addition to maternal and pregnancy benefits, preconception interventions may have longer-term benefits for child growth.

Profiles of total and sn-2 fatty acid of human mature milk and their correlated factors: A cross-sectional study in China.

Fatty acid (FA) in breast milk is beneficial to the growth and neurodevelopment of infants. However, the structure profiles of breast milk FAs and the influencing factors which are crucial for normal function have not been fully elucidated. This study aimed to characterize the profiles of total and sn-2 FAs in human mature milk based on two representative urban areas in China and explore potential sociodemographic determinants. Mothers (n = 70) at 40–100 d postpartum from Beijing and Danyang were recruited according to unified inclusion and exclusion criteria. Total and sn-2 FA compositions were examined by gas chromatography and quantified. Using the Spearman correlation and multiple regression model, we found that the location and maternal education level were the most conspicuous correlated factor. The milk of mothers from Beijing had higher levels of the n-6 series of long-chain polyunsaturated fatty acids (LCPUFA) (C20:2, C20:3n-6, C20:4n-6, n-6PUFA/n-3PUFA, LA/ALA, and ARA/DHA) than that of Danyang, while the opposite was observed in the n-3 series of LCPUFA (C18:3n-3 and Total n-3PUFA). Compared to the milk of mothers with a high school degree or below, those with a bachelor's degree or above had lower SFAs (C10:0, C12:0, C14:0, and Total SFA), n-3 series of LCPUFA (C18:3n-3 and Total n-3PUFA), C18:1n-9t, and higher n-6 series of LCPUFA (C18:2n-6c, C20:2, C20:4n-6, Total n-6PUFA, and n-6PUFA/n-3PUFA). Maternal age, infant gender, pre-conception body mass index (BMI), parity, delivery mode, and gestational weight gain were also associated with total FAs. However, fewer associations were found between the above factors and sn-2 FAs. This study will promote an understanding of human breast milk's lipid profile and help develop a formula more suitable for infants.

1061-P: Need for Insulin Therapy in Gestational Diabetes Mellitus: A Predictive Model Assessment

A significant portion of pregnant women with Gestational Diabetes Mellitus (GDM) eventually requires insulin therapy, thus necessitating closer monitoring. In this study, we assessed a predictive model for the need of insulin therapy in women with GDM. In a retrospective cohort study, baseline data from 246 women with GDM (43% on subsequent insulin therapy, 57% on nutritional therapy alone) were analyzed using logistic regression. Diagnosis of GDM in previous pregnancies, previous GDM managed with insulin therapy, previous maternal impaired fasting glucose, fasting serum glucose diagnostic for GDM, and 0h and 2h diagnostic values at 75-g oral glucose tolerance test were independent qualitative significant predictors for subsequent insulin therapy. Pre-conceptional maternal body mass index, fasting serum glucose, HbA1c and gestational age at GDM diagnosis were independent quantitative significant predictors for subsequent insulin therapy. According to the odds ratios produced by the logistic regression, a risk score was developed, with identification of low (score &amp;lt;10, p &amp;lt;0.001) , moderate (score ≥and &amp;lt;14, p = 0.052) and high (score ≥14, p &amp;lt; 0.001) risk categories for need of insulin therapy during pregnancy. The area under the ROC curve (AUC) for the internal validation of the predictive model was 0.724. The risk assessment tool was then validated with an independent cohort of 22 GDM women, resulting in a similar predictive power (AUC = 0.744) . Thus, a simple risk score based on easily available clinical and biochemical data at the first visit can predict the need for insulin therapy in GDM women, leading to closer monitoring and timely initiation of therapy in pregnancies at higher risk. Disclosure M.Caporusso: Other Relationship; Eli Lilly and Company. L.Di gioia: Other Relationship; Eli Lilly and Company, Menarini Group. G.Sorice: None. A.Cignarelli: None. A.Natalicchio: Consultant; Novo Nordisk, Other Relationship; AstraZeneca, Lilly Diabetes, Sanofi. F.Giorgino: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Novo Nordisk, Consultant; Lilly Diabetes, Sanofi, Research Support; Lilly Diabetes, Roche Diabetes Care, Takeda Pharmaceutical Company Limited. L.Laviola: Advisory Panel; Lilly Diabetes, Novo Nordisk, Roche Diabetes Care, Sanofi, Speaker's Bureau; A. Menarini Diagnostics, Abbott Diabetes, Medtronic, Terumo Corporation.

Gestational diabetes mellitus and COVID-19: results from the COVID-19–Related Obstetric and Neonatal Outcome Study (CRONOS)

BackgroundGestational diabetes mellitus is one of the most frequent pregnancy complications with a global prevalence of 13.4% in 2021. Pregnant women with COVID-19 and gestational diabetes mellitus are 3.3 times more likely to be admitted to an intensive care unit than women without gestational diabetes mellitus. Data on the association of gestational diabetes mellitus with maternal and neonatal pregnancy outcomes in pregnant women with SARS-CoV-2 infection are lacking.ObjectiveThis study aimed to investigate whether gestational diabetes mellitus is an independent risk factor for adverse maternal and fetal and neonatal outcomes in pregnant women with COVID-19.Study DesignThe COVID-19-Related Obstetric and Neonatal Outcome Study is a registry-based multicentric prospective observational study from Germany and Linz, Austria. Pregnant women with clinically confirmed COVID-19 were enrolled between April 3, 2020, and August 24, 2021, at any stage of pregnancy. Obstetricians and neonatologists of 115 hospitals actively provided data to the COVID-19-Related Obstetric and Neonatal Outcome Study. For collecting data, a cloud-based electronic data platform was developed. Women and neonates were observed until hospital discharge. Information on demographic characteristics, comorbidities, medical history, COVID-19–associated symptoms and treatments, pregnancy, and birth outcomes were entered by the local sites. Information on the periconceptional body mass index was collected. A primary combined maternal endpoint was defined as (1) admission to an intensive care unit (including maternal mortality), (2) viral pneumonia, and/or (3) oxygen supplementation. A primary combined fetal and neonatal endpoint was defined as (1) stillbirth at ≥24 0/7 weeks of gestation, (2) neonatal death ≤7 days after delivery, and/or (3) transfer to a neonatal intensive care unit. Multivariable logistic regression analysis was performed to evaluate the modulating effect of gestational diabetes mellitus on the defined endpoints.ResultsOf the 1490 women with COVID-19 (mean age, 31.0±5.2 years; 40.7% nulliparous), 140 (9.4%) were diagnosed with gestational diabetes mellitus; of these, 42.9% were treated with insulin. Overall, gestational diabetes mellitus was not associated with an adverse maternal outcome (odds ratio, 1.50; 95% confidence interval, 0.88–2.57). However, in women who were overweight or obese, gestational diabetes mellitus was independently associated with the primary maternal outcome (adjusted odds ratio, 2.69; 95% confidence interval, 1.43–5.07). Women who were overweight or obese with gestational diabetes mellitus requiring insulin treatment were found to have an increased risk of a severe course of COVID-19 (adjusted odds ratio, 3.05; 95% confidence interval, 1.38–6.73). Adverse maternal outcomes were more common when COVID-19 was diagnosed with or shortly after gestational diabetes mellitus diagnosis than COVID-19 diagnosis before gestational diabetes mellitus diagnosis (19.6% vs 5.6%; P<.05). Maternal gestational diabetes mellitus and maternal preconception body mass index of ≥25 kg/m2 increased the risk of adverse fetal and neonatal outcomes (adjusted odds ratio, 1.83; 95% confidence interval, 1.05–3.18). Furthermore, overweight and obesity (irrespective of gestational diabetes mellitus status) were influential factors for the maternal (adjusted odds ratio, 1.87; 95% confidence interval, 1.26–2.75) and neonatal (adjusted odds ratio, 1.81; 95% confidence interval, 1.32–2.48) primary endpoints compared with underweight or normal weight.ConclusionGestational diabetes mellitus, combined with periconceptional overweight or obesity, was independently associated with a severe maternal course of COVID-19, especially when the mother required insulin and COVID-19 was diagnosed with or after gestational diabetes mellitus diagnosis. These combined factors exhibited a moderate effect on neonatal outcomes. Women with gestational diabetes mellitus and a body mass index of ≥25 kg/m2 were a particularly vulnerable group in the case of COVID-19.

Role of hTERT rs2736100 in pathological scarring.

Hypertrophic and atrophic scars are the effect of a dysregulated wound-healing process in genetically predisposed individuals. The genetic predisposition has acquired significant attention due to the diverse phenotype of pathological scarring in individuals with a positive personal and family history. Recent studies have identified telomere shortening and decreased hTERT activity in pathological scarring, proposing the rs2736100 variant of human telomerase reverse transcriptase (hTERT) gene as a valuable variant gene candidate. We examined the scarring process in 71 female patients who had undergone Caesarean section and developed hypertrophic and atrophic scars with the objective to investigate the role of single nucleotide polymorphism (SNP) rs2736100 in pathological scarring. Genotyping was performed using RT-PCR and follow-up included the Patient Observer Scar Assessment Scale (POSAS) and SCAR scales. Comparative analysis for mean POSAS value between the check-ups at 3 and 6 months revealed a statistical decreased difference of 1.71 points [95% confidence interval (CI), 0.4-2.89; P=0.01], while SCAR highlighted a decreased difference of 0.670 (95% CI, -0.04-1.38; P=0.055). The C variant allele revealed a borderline statistical value for the risk of developing pathological scarring (OR=1.44; 95% CI, 0.876-1.332: P=0.066). In our study a pre-conceptional body mass index (BMI) >25 kg/m2 was statistically associated with pathological scarring. The Fitzpatrick type 4 phototype displayed an increased frequency for the heterozygous genotype in the current study, and it was demonstrated that dark skin tone was associated with abnormal scar formation. Our study investigated the role of hTERT gene variant rs2736100 in hypertrophic and atrophic scarring in a Caucasian population group. We report a borderline statistically significant value for the variant C allele of hTERT SNP for the risk of developing pathological scarring in female patients that had undergone Caesarean section.

Parental preconception BMI trajectories from childhood to adolescence and asthma in the future offspring

Recent evidence suggests that parental exposures before conception can increase the risk of asthma in offspring. We investigated the association between parents' preconception body mass index (BMI) trajectories from childhood to adolescence and subsequent risk of asthma in their offspring. Using group-based trajectory modeling from the Tasmanian Longitudinal Health Study, we identified BMI trajectories for index participants (parents) when aged 4 years to 15 years. Multinomial regression models adjusted for potential confounders were utilized to estimate the association between these early-life parents' BMI trajectories and asthma phenotypes in their subsequent offspring. The main analysis included 1822 parents and 4208 offspring. Four BMI trajectories from age 4 years to 15 years were identified as the best-fitting model: low (8.8%), normal (44.1%), above normal (40.2%), and high (7.0%). Associations were observed between father's high BMI trajectory and risk of asthma in offspring before the age of 10 years (relative risk ratio [RRR]=1.70 [95% CI= 0.98-2.93]) and also asthma ever (RRR= 1.72 [95% CI= 1.00-2.97]), especially allergic asthma ever (RRR= 2.05 [95% CI= 1.12-3.72]). These associations were not mediated by offspring birth weight. No associations were observed for maternal BMI trajectories and offspring asthma phenotypes. This cohort study over 6 decades of life and across 2 generations suggests that the high BMI trajectory in fathers, well before conception, increased the risk of asthma in their offspring.

A higher preconceptional paternal body mass index influences fertilization rate and preimplantation embryo development.

BackgroundObesity is a worldwide problem affecting the health of millions of people throughout the life course. Studies reveal that obesity impairs sperm parameters and epigenetics, potentially influencing embryonic development.ObjectiveTo investigate the association between preconceptional paternal body mass index (BMI) and embryo morphokinetics using a time‐lapse incubator and in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) outcomes.Materials and methodsParticipants were recruited from a tertiary hospital in this prospective periconceptional cohort study. A total of 211 men were included: 86 with normal weight (BMI < 25.0), 94 overweight (BMI 25–29.9), and 41 obese (BMI ≥ 30). These men were part of a couple that underwent IVF/ICSI treatment with ejaculated sperm after which 757 embryos were cultured in a time‐lapse incubator. The main outcome parameters consisted of fertilization rate, embryo developmental morphokinetics, embryo quality assessed by a time‐lapse prediction algorithm (KIDScore), and live birth rate.ResultsA higher paternal BMI was associated with faster development of the preimplantation embryo, especially during the first cleavage divisions (t2: −0.11 h (p = 0.05) and t3: −0.19 h (p = 0.01)). Embryo quality using the KIDScore was not altered. The linear regression analysis, after adjustment for confounders (paternal age, ethnicity, smoking, alcohol use, education, total motile sperm count, and maternal age and BMI), showed an inverse association between paternal BMI and fertilization rate (effect estimate: −0.01 (p = 0.002)), but not with the live birth rate.Discussion and conclusionOur data demonstrate that a higher preconceptional paternal BMI is associated with a reduced fertilization rate in IVF/ICSI treatment. Our findings underline the importance of a healthy paternal weight during the preconception period.

Prevalence of and risk factors for excess weight gain in pregnancy: a cross-sectional study using survey data.

Background:Maternal weight gain during pregnancy is required for fetal development; however, excess gestational weight gain is associated with increased maternal and neonatal morbidity. We aimed to determine the proportion of Canadian women who gained excess weight during pregnancy and to identify risk factors for excess gestational weight gain.Methods:Self-reported data on maternal weight gain were collected from the 2015/16 and 2017/18 cycles of the Canadian Community Health Survey (CCHS), a cross-sectional population-based survey. We included females aged 15 to 54 years with data on height, prepregnancy weight and gestational weight gain. We defined excess gestational weight gain in terms of preconception body mass index (BMI) according to the 2009 guideline of the US Institute of Medicine. We used logistic regression to evaluate potential risk factors for excess gestational weight gain.Results:Of 1 335 615 Canadian women (weighted from approximately 9300 survey respondents), 422 043 (32%) gained excess weight during pregnancy. Women with obesity had 33% lower odds of gaining excess weight relative to women with overweight (odds ratio 0.67, 95% confidence interval 0.48–0.94). Risk factors for excess gestational weight gain were lower education level, white or Indigenous identity, smoking, mood disorder, anxiety disorder and Canadian citizenship.Interpretation:One-third of Canadian women in this survey had excess gestational weight gain during pregnancy, and women with obesity had lower odds of gaining excess weight during pregnancy relative to women with overweight. Strategies are needed to reduce the proportion of Canadian women who gain excess weight during pregnancy, regardless of preconception BMI.

Higher preconceptional maternal body mass index is associated with faster early preimplantation embryonic development: the Rotterdam periconception cohort

BackgroundOverweight and obesity affect millions of people globally, which has also serious implications for reproduction. For example, treatment outcomes after in vitro fertilisation (IVF) are worse in women with a high body mass index (BMI). However, the impact of maternal BMI on embryo quality is inconclusive. Our main aim is to study associations between preconceptional maternal BMI and morphokinetic parameters of preimplantation embryos and predicted implantation potential. In addition, associations with clinical IVF outcomes are investigated.MethodsFrom a tertiary hospital, 268 women undergoing IVF or IVF with intracytoplasmic sperm injection (ICSI) were included; 143 normal weight, 79 overweight and 46 obese women. The embryos of these women were cultured in the EmbryoScope, a time-lapse incubator. The morphokinetic parameters of preimplantation embryos and predicted implantation potential, assessed by the KIDScore algorithm were longitudinally evaluated as primary and secondary outcomes, respectively. The tertiary outcomes included clinical outcomes, i.e., fertilization, implantation and live birth rate.ResultsAfter adjustment for patient- and treatment-related factors, we demonstrated in 938 embryos that maternal BMI is negatively associated with the moment of pronuclear appearance (βtPNa -0.070 h (95%CI -0.139, -0.001), p = 0.048), pronuclear fading (βtPNf -0.091 h (95%CI -0.180, -0.003), p = 0.043 and the first cell cleavage (βt2 -0.111 h (95%CI -0.205, -0.016), p = 0.022). Maternal BMI was not significantly associated with the KIDScore and tertiary clinical treatment outcomes. In embryos from couples with female or combined factor subfertility, the impact of maternal BMI was even larger (βtPNf -0.170 h (95%CI -0.293, -0.047), p = 0.007; βt2 -0.199 h (95%CI -0.330, -0.067), p = 0.003). Additionally, a detrimental impact of BMI per point increase was observed on the KIDScore (β -0.073 (se 0.028), p = 0.010).ConclusionsHigher maternal BMI is associated with faster early preimplantation development. In couples with female or combined factor subfertility, a higher BMI is associated with a lower implantation potential as predicted by the KIDScore. Likely due to power issues, we did not observe an impact on clinical treatment outcomes. However, an effect of faster preimplantation development on post-implantation development is conceivable, especially since the impact of maternal BMI on pregnancy outcomes has been widely demonstrated.

Maternal body mass index associates with blastocyst euploidy and live birth rates: the tip of an iceberg?

Research questionDoes maternal preconceptional body mass index (BMI) associate with mean blastocyst euploidy rate (m-ER) per patient and live birth rate (LBR) after vitrified–warmed euploid single embryo transfer (SET)? DesignObservational study conducted between April 2013 and March 2020 at a private IVF clinic, involving 1811 Caucasian women undergoing trophectoderm biopsy and comprehensive chromosome testing. The outcomes of 1125 first vitrified–warmed euploid SET were also analysed. Patients were clustered as normal weight (BMI 18.5–25; n = 1392 performing 859 SET), underweight (BMI <18.5; n = 160 performing 112 SET) and overweight (BMI >25; n = 259 performing 154 SET). m-ER per patient was the primary outcome. The secondary outcomes were all clinical outcomes per euploid SET. All data were adjusted for confounders through regression analyses. ResultsThe m-ER per patient decreases as maternal BMI increases from 17 up to 22–23 before reaching a plateau. A linear regression adjusted for maternal age confirmed this moderate association (unstandardized coefficient B: –0.6%, 95% confidence interval [CI]: –1.1 to –0.1%, P = 0.02). All clinical outcomes were similar between normal weight and underweight women. Overweight women, instead, showed higher miscarriage rate per clinical pregnancy (n = 20/75, 26.7% versus n = 67/461, 14.5%; odds ratio [OR] adjusted for blastocyst quality and day of full blastulation: 2.0, 95% CI: 1.1–3.6, P = 0.01) and lower LBR per SET (n = 55/154, 35.7% versus n = 388/859, 45.2%; OR adjusted for blastocyst quality and day of full blastulation: 0.67, 95% CI: 0.46–0.96, P = 0.03). ConclusionThese data indicate a need for future research on more sensitive metrics to assess body fat mass and distribution, as well as on the mechanisms leading to lipotoxicity, thereby impairing embryo competence and/or endometrial receptivity. Overweight women should be informed of their higher risk for miscarriage and, whenever possible, encouraged to lose weight, especially before transfer.

Low Body Mass Index in Pregnant Women with Sickle Cell Disease Is Associated with Premature Delivery in Sub- Saharan Africa

Low Body Mass Index in Pregnant Women with Sickle Cell Disease Is Associated with Premature Delivery in Sub- Saharan Africa

Maternal Pre-conception Body Mass Index and Fasting Plasma Glucose With the Risk of Pre-term Birth: A Cohort Study Including 4.9 Million Chinese Women.

Background: To evaluate the associations of pre-conception body mass index (BMI), fasting plasma glucose (FPG) alone and their combination with pre-term birth (PTB) risk.Methods: We conducted a population-based retrospective cohort study with 4,987,129 reproductive-aged women, who participated in National Free Pre-Pregnancy Checkups Project in 2013–2016 and had a singleton delivery before December 2017 in China. All data analyses were conducted in 2018–2021.Results: A total of 339,662 (6.81%) women had pre-term deliveries. Compared with women with normal weight and normal glucose, underweight and normal weight were associated with PTB among hypoglycemia women, the adjusted odd ratios (aORs) were 1.24 (95% CI: 1.05–1.48) and 1.16 (95% CI: 1.07–1.25), respectively; underweight, overweight and obesity were associated with PTB among women with normal glucose, the aORs were 1.09 (95% CI: 1.08–1.10), 1.06 (95% CI: 1.05–1.07) and 1.08 (95% CI: 1.05–1.12), respectively; all the BMI groups were significantly associated with PTB among women with pre-diabetes or diabetes (P < 0.05). The dose-response relationships of BMI with PTB varied in different FPG level, with U-shaped curve in normal glucose and pre-diabetes women, J-shaped in diabetes women, L-shaped in hypoglycemia women. For FPG with PTB, the dose-response relationships were U-shaped in normal weight, overweight, and obesity women, and L-shaped in underweight women.Conclusion: We found that the associations of PTB with BMI varied with levels of FPG, and associations of PTB with FPG varied with levels of BMI. There was a synergistic effect on PTB risk due to abnormal weight and glycemia besides a conventional main effect derived from either of them. Achieving desirable weight and glucose control before conception should be advised.

Prediction of insulin treatment in women with gestational diabetes mellitus

IntroductionThe identification of pregnant women with Gestational Diabetes Mellitus (GDM) who will require insulin therapy, may modify their management to closer monitoring and probable early interventions. The aim of the study was to develop a predictive model for the necessity of insulin treatment in women with GDM.Materials and methodsThis was a prospective cohort study. Data from 775 women diagnosed with GDM per the IADPSG criteria were analyzed using logistic regression and a machine learning algorithm, the Classification and Regression Trees (CART). Potential predictors routinely recorded at follow-up visits were tested and used for the development of the model. The resultant model was externally validated using the data from two different perinatology clinics.ResultsPreconceptional maternal BMI and morning fasting blood glucose levels at baseline and at 1 h during an Oral Glucose Tolerance Test (OGTT) were independent significant predictors for the treatment modality of GDM. Baseline blood glucose greater than 98 mg/dl and preconceptional maternal Body Mass Index (BMI) between 26 and 31 kg/height2 increased substantially the probability of insulin therapy (odds ratio [OR] 4.04, 95% confidence interval [CI] CI 2.65–6.17 and 2.21, 95%CI 1.42–3.43, respectively). The area under the curve (AUC) for the internal and external validation of the predictive model was 0.74 and 0.77, respectively.ConclusionsA simple model based on maternal characteristics and the values of an OGTT can predict the need for insulin treatment with accuracy. Overweight women with an abnormal baseline blood glucose at OGTT are at high likelihood for insulin treatment.Key messageFifteen to 30% of women with Gestational Diabetes Mellitus (GDM) require insulin therapy. Overweight women with baseline blood glucose greater than 98 mg/dl at OGTT are at increased risk for insulin treatment and close monitoring and increased physical exercise are required.

The Association Between the Risk of Hypertensive Disorders of Pregnancy and Folic Acid: A Systematic Review and Meta-Analysis.

Although folic acid (FA) supplementation has been shown to reduce general cardiovascular risks, its impact on hypertensive disorders of pregnancy (HDP) is unclear. We performed a systematic review and meta-analysis to clarify the association between FA and the risk of HDP (pre-eclampsia (PE) and gestational hypertension (GH)). PubMed, EmBase, and Cochrane Library were searched up to June 18, 2020, stratified by type of disease, initiation time of FA, form of FA and pre-conception Body Mass Index (BMI). The quality assessment of included studies was evaluated using Newcastle-Ottawa Scale (NOS) for cohort studies and Cochrane Collaboration's Risk of Bias Assessment Tool for randomized controlled trials (RCTs). Between-study heterogeneity was quantified using Cochran's Q-statistic and I2 statistics. Sensitivity analysis was performed by excluding the studies one by one, and publication bias was analyzed using funnel plots. Twenty studies with 359041 patients were identified for inclusion in the meta-analysis which included 3 RCTs and 17 cohort studies. Pooled estimates showed RR of 0.83 (95%CI 0.74-0.93, P=0.0008) for association between low dose FA (LD-FA) and the risk of PE, but LD-FA was not associated with GH (RR 1.05, 95% CI 0.97-1.13, P=0.20). In addition, the results of subgroup analysis showed that post-conception LD-FA had a 31% decreased risk of PE (RR 0.69, 95% CI 0.59-0.80, P<0.00001), and LD-FA in patients with pre-conception BMI<25 kg/m2 had a 32% decreased risk of PE (RR 0.68, 95% CI 0.56-0.81, P<0.0001) Conclusions: LD-FA significantly decreased the risk of PE but not GH, and post-conception LD-FA and pre-conception BMI<25 kg/m2 were considered as protective factors to reduce the risk of PE.

Preconception Diet Quality Is Associated with Birth Weight for Gestational Age Among Women in the Hispanic Community Health Study/Study of Latinos

BackgroundThe nutritional status of women in the preconception period is of paramount importance due to its role in reproduction. ObjectiveOur aim was to assess overall diet quality during the preconception period and its association with infant birth weight adjusted for gestational age (GA). DesignThis is an observational longitudinal cohort of Hispanic people living in the United States. Participants/settingData are from the Hispanic Community Health Study/Study of Latinos baseline (2008-2011) and second clinic examinations (2014-2017). Included are the first 497 singleton live-born infants among the 2,556 women (younger than 45 years) who attended the second visit. Field sites were located in Miami, FL; Bronx, NY; Chicago, IL; and San Diego, CA, and represent individuals with heritage from Cuba, Dominican Republic, Mexico, Puerto Rico, and Central and South America. Main exposureDiet assessment included two 24-hour recalls from baseline. The 2010 Healthy Eating Index (HEI-2010) was used to measure diet quality, with higher scores indicating better quality. Statistical analyses performedComplex survey linear regression estimated the association between HEI-2010 scores (continuous variable and categorized into tertiles) and birth-weight z score and birth weight for GA percentile. ResultsMean (standard deviation) age of women was 25.8 (5.2) years and 36.4% were classified as underweight or normal weight, 30.0% were overweight, and 33.6% had obesity at baseline. Mean (standard deviation) HEI-2010 score was 56.5 (13.4), and by weight classifications was 54.4 (14.1) for underweight or normal weight and 57.7 (12.8) for overweight or obesity. Median (interquartile range) birth-weight z score was 0.5 (interquartile range [IQR], –0.2 to 1.3) overall and 0.2 (IQR, –0.5 to 1.0), 0.6 (IQR, –0.2 to 1.3), and 0.5 (IQR, –0.2 to 1.4) for the first, second, and third HEI-2010 tertile, respectively. Median birth weight for GA percentile was 68.2 (IQR, 40.2 to 89.7) overall, and 56.8 (IQR, 29.6 to 85.0), 71.5 (IQR, 42.8 to 90.0), and 70.1 (IQR, 42.9 to 91.2) by HEI-2010 tertile. In adjusted models, the highest tertile of the HEI-2010 score was associated with a higher birth-weight z score and birth weight for GA percentile, and the continuous HEI-2010 score was only associated with birth weight for GA percentile. Preconception body mass index (calculated as kg/m2) did not modify these associations. ConclusionsOverall diet quality, as measured by the HEI-2010, in the preconception period is associated with infant birth weight adjusted for GA among US Hispanic and Latina women.

Maternal preconception body mass index and time-to-pregnancy in Shanghai Women, China

ABSTRACT Previous studies suggested an association between female fertility and body size, but most of these studies were from Western countries and focused mainly on obesity. This study investigated the association between preconception body mass index (BMI) and time to pregnancy (TTP) in women planning to conceive from Shanghai, China. A total of 1,182 women aged 24–46 years were recruited from the Shanghai Birth Cohort between 2013 and 2015 and were followed up for 12 months. Preconception BMI was categorized as underweight, normal weight, and overweight/obesity according to the Chinese classification of BMI. Fecundability (FOR) and infertility (IOR) odds ratios were estimated using Cox (n = 1,092) and Logistic (n = 820) regression models, respectively. We found no differences in fecundability between underweight and overweight/obese women and normal-weight women. Furthermore, underweight and overweight/obese women did not have a higher risk of infertility compared with normal-weight women. Our findings suggest that non-optimal preconception BMI does not appear to influence female fecundability and infertility in Chinese women. These results should be interpreted with caution as they may be applicable only to women with demographic and anthropometric characteristics similar to our study population. Our findings need to be confirmed in other populations.