Paternal Body Mass Index Research Articles

High maternal pre-pregnancy BMI is associated with increased offspring peer-relationship problems at 5 years

BackgroundPeer relationships are an important aspect of child development that are often overlooked. Maternal pre-pregnancy body mass index (BMI) may influence peer relationships through intrauterine mechanisms affecting fetal neurodevelopment or through postnatal mechanisms including social discrimination of the obese mother/child. This study aimed to determine the relationship between maternal pre-pregnancy BMI and child peer-relationship problems around 5 years old, including preterm and term-born children.Methods and findingsMaternal BMI and offspring peer-relationship problems were assessed in participants of three French birth cohorts: EDEN (n = 1,184 children born at term), ELFE (n = 10,889 children born ≥33 weeks of gestation) and EPIPAGE-2 (n = 2,646 children born 23–34 weeks of gestation). Reported or measured pre-pregnancy weight (kg) and height (m) were collected from mothers and used to calculate BMI (kg/m2). Offspring peer-relationship problems were assessed using the Strengths and Difficulties Questionnaire at 5.5 years. Logistic regression was used to estimate odds ratios (OR) of a high peer-relationship problem score (≥3) in EDEN and ELFE, and generalized estimated equations were used in EPIPAGE-2 to account for the large number of multiple births. Paternal BMI was used as a negative control in sensitivity analyses. Maternal pre-pregnancy obesity was associated with increased odds of a high peer-relationship problem score in all three cohorts, independent of confounding factors [adjusted OR 2.27 (1.32, 3.88); 1.52 (1.29, 1.78); 1.44 (1.04, 1.99); for EDEN, ELFE and EPIPAGE-2, respectively]. Additional analysis based on negative controls (i.e., adjusting for paternal BMI) showed the same pattern of associations.ConclusionHigh maternal pre-pregnancy BMI is associated with greater likelihood of a high peer-relationship trouble score in offspring around 5 years of age in both children born preterm and at term.

Association between breastfeeding, parents’ body mass index and birth weight with obesity indicators in children

BackgroundChildhood obesity is potentially affected by breastfeeding, parents’ body mass index and birth weight. Thus, this study aimed to verify the association between breastfeeding, parents’ body mass index and birth weight with obesity indicators in children.MethodsThis is a cross-sectional study, including data from 402 schoolchildren between 9 and 11 of age in the city of São Caetano do Sul, Brazil. Parents or guardians answered a questionnaire about breastfeeding (month), birth weight (kg), and parental body weight and height (parents’ body mass index [kg/m2] was calculated). Body mass index (kg/m2), waist circumference (cm) and body fat (%), determined via bio-impedance, were measured and used as obesity indicators. Multi-level linear regression models were used to assess the respective associations adjusted for the potential confounders.ResultsConsidering body mass index of children, the overall prevalence of eutrophic, overweight and obese were 58.2%, 20.9% and 17.2%, respectively. Significant and positive correlations were observed between breastfeeding, maternal as well as paternal body mass index and the children’s body mass index, body fat and waist circumference. Birth weight was weakly and positively associated with body mass index and body fat but was not associated with waist circumference. After adjusting for school, sex, age, race/ethnicity, annual household income, sedentary time and moderate-to-vigorous physical activity, maternal body mass index and birth weight were positively associated with children’s body mass index (β: 0.228; 95%CI: 0.142; 0.314 and β: 0.001; 95%CI: 0.001; 0.002), body fat (β: 0.484; 95%CI: 0.297; 0.671 and β: 0.002; 95%CI: 0.001; 0.003) and waist circumference (β: 0.509; 95%CI: 0.304; 0.715 and β: 0.003; 95%CI: 0.001; 0.005). Breastfeeding was not associated with any obesity indicators.ConclusionMaternal body mass index and birth weight were associated with children’s obesity indicators. The perinatal environment, therefore, appears to be a critical contributor to childhood obesity and public policies need to address parental obesity in order to tackle childhood obesity.Trial registration:The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) is registered at (Identifier NCT01722500).

The effect of paternal and maternal factors on the prognosis of live birth in couples with recurrent pregnancy loss.

Currently, recurrent pregnancy loss (RPL) examinations focus on the woman, although paternal factors are also involved. Men in couples with RPL have higher sperm DNA fragmentation levels than fertile men, but the effect of sperm DNA damage on couple's later prognosis is unknown. Advanced maternal age and obesity are associated with RPL, but paternal lifestyle factors are less studied. Therefore, we aimed to study the associations of couples' lifestyle factors, causes of RPL, and sperm DNA fragmentation with their prognosis of future live birth. This descriptive cohort study comprised 506 couples investigated for RPL at Helsinki University Hospital, Finland, between 2007 and 2016, linked with national health and population registers. The primary outcome was couple's live birth after RPL investigations. Data on couple's background factors, including age, body mass index, smoking, and alcohol use, were collected from medical records. Sperm DNA fragmentation index was analyzed from 211 men using the sperm chromatin dispersion test. The associations between background factors, sperm DNA fragmentation, and cumulative probability of live birth over time were analyzed using cross-tabulations and age-adjusted Cox regression. In all, 352 of 506 couples (69.6%) achieved live birth. Maternal age, unexplained RPL, prolonged pregnancy attempts before investigations, paternal obesity, and maternal smoking were associated with prognosis: unadjusted hazard ratio for couple's live birth for women aged 35-39 vs younger than 30 years was 0.63 (95% confidence interval [CI] 0.47-0.84), and for 40 years or older was 0.36 (95% CI 0.22-0.58). Age-adjusted hazard ratio for unexplained vs explained RPL was 1.39 (95% CI 1.12-1.72), for couple's pregnancy attempt at least 4 years vs less than 2 years was 0.50 (95% CI 0.33-0.76), for paternal body mass index at least 30 kg/m2 vs less than 25 kg/m2 was 0.67 (95% CI 0.46-0.98), and for maternal smoking was 0.71 (95% CI 0.51-0.99). Altogether, 96/135 (71.1%) couples with normal (<15%), 38/60 (63.3%) with intermediate (15-30%), and 11/16 (68.8%) with high sperm DNA fragmentation index achieved live birth (p =0.56). In couples with RPL, prolonged pregnancy attempts, a cause found in RPL examinations, lifestyle factors, and maternal age are negatively associated with their prognosis of future live birth. Sperm DNA fragmentation was not associated, but the number of men with damaged spermatozoa was small. We suggest that clinicians include women and men in RPL counseling because couple's joint lifestyle seems to determine their later prognosis.

Association between paternal pre-pregnancy body mass index with preterm birth and low birth weight.

BackgroundWith the current global epidemic of obesity, especially among men, there is a need to understand its impact on adverse pregnancy outcomes. This study aimed to assess whether paternal pre-pregnancy body mass index (BMI) was associated with preterm birth and low birth weight in offspring.MethodsMultinomial logistic regression model was used to analyze associations between paternal BMI and preterm birth and low birth weight in different subgroups, the final model was adjusted for confounding factors of mothers and fathers. Further subgroup analysis was conducted to explore the stability of the risk associations.ResultsA total of 34,104 participants were included in this study, including 1,442 (4.2%) underweight, 13,930 (40.9%) overweight and 5,008 (14.7%) obese according to paternal BMI. The total incidence of preterm birth was 11.85% (4041/34104), and the incidence of low birth weight was 8.86% (3020/34104). In the total study population, compared with normal weight men, paternal pre-pregnancy overweight or obese was associated with a significantly increased risk of preterm birth [aOR; 95% CI respectively (1.34; 1.25–1.45 vs. 1.26; 1.14–1.40)] and low birth weight [aOR; 95% CI respectively (1.60; 1.46–1.74 vs. 1.40; 1.25–1.58)] in offspring. The results of subgroup analysis showed that the direction of the risk association was consistent, indicating good stability.ConclusionPaternal pre-pregnancy overweight and obesity were associated with an increased risk of preterm birth and low birth weight in their offspring.

The influence of paternal overweight on sperm chromatin integrity, fertilization rate and pregnancy outcome among males attending fertility clinic for IVF/ICSI treatment

BackgroundLow and middle-income countries are facing a rapid increase in obesity and overweight burden, particularly in urban settings. Being overweight in men is associated with infertility and a higher risk to have a low sperm count or no sperm in their ejaculate. Despite potential limitations, this is one of few studies conducted to determine the potential risk of paternal overweight on sperm standard parameters, sperm chromatin integrity and assisted conception outcome including fertilization, embryo quality, cleavage rate, reduce blastocyst development, implantation, and cumulative live birth rate (CLBR).MethodsA cross-sectional study of 750 infertile couples undergoing assisted reproduction technique at a single reproductive medicine center of Salma Kafeel Medical Centre Islamabad. Sperm from men undergoing ART were analyzed for chromatin integrity using sperm chromatin dispersion assay (SCD), Chromomycin A3 staining (CMA3), and toluidine blue (TB) staining, while other semen parameters were assessed on same day includes; standard semen parameters, reactive oxygen species (ROS), sperm deformity index (SDI), teratozoospermic index (TZI), and hypo-osmatic swelling test (HOST). Paternal body mass index (BMI) < 24.5–20 kg/m2 served as the reference group, while the male patients with BMI > 24.5-30 kg/m2 were considered to be overweight.ResultsIn the analysis of the percentage of spermatozoa with chromatin maturity (CMA3) and chromatin integrity (TB) was reduced significantly in overweight men (p < 0.01) compared with a reference group. Increase in paternal BMI correlate with the increase in sperm chromatin damage (SCD r = 0.282, TB r = 0.144, p < 0.05), immaturity (CMA3, r = 0.79, p < 0.05) and oxidative stress (ROS) (r = 0.282, p < 0.001). Peri-fertilization effects were increased in oocytes fertilization in couples with overweight men (FR = 67%) compared with normal-weight men (FR = 74.8%), similarly, after univariant regression paternal weight remain predictor of sperm chromatin maturity, successful fertilization and CLBR. In the embryo, developmental stage number of the embryo in cleavage was higher in normal weight men, while day 3 (D3) embryos, percent good quality embryo D3, and blastocyst formation rate were compared able between the groups. The paternal overweight group had significant (p < 0.001) increased neonatal birth weight (2952.14 ± 53.64gm; within normal range) when compared with the reference group (2577.24 ± 30.94gm) following assisted reproductive technology (ART). CLBR was higher (p < 0.05) in normal weight men compared to couples with overweight male partners. CLBR per embryo transfer and per 2PN was a statistically significant (p < 0.05) difference between the two groups. An inverse association was observed in the linear regression model between paternal BMI with fertilization rate and CLBR.ConclusionThe present study demonstrated the impact of paternal overweight on male reproductive health, as these patients had a higher percentage of immature sperm (CMA3) with impaired chromatin integrity (SCD, TB) in their semen and had decreased fertilization rate, CLBR following assisted reproductive treatments. The present study supports that paternal overweight should be regarded as one of the predictors for fertilization, CLBR and useful for counseling, to consider body mass index not only in women but also for men, in those couples opting for ART treatment, and warrant a poor reproductive outcome in overweight men.

Maternal pre-pregnancy BMI and offspring hyperactivity-inattention trajectories from 3 to 8years in the EDEN birth cohort study.

Evidence suggests obesity during pregnancy is associated with offspring attention-deficit hyperactivity disorder. However, studies have been limited to evaluating the association at a single age with inadequate data on important maternal lifestyle confounders and unmeasured familial confounding. The objective of this study was to examine the association between maternal pre-pregnancy body mass index (BMI) and child hyperactivity-inattention symptoms (HIS) at 3, 5 and 8years. Data came from the EDEN mother-child cohort. Maternal pre-pregnancy BMI status (kg/m2) was calculated using pre-pregnancy weight and height (self-reported by mothers or measured by midwives). HIS were assessed by parental-report on the Strengths and Difficulties Questionnaire at 3, 5 and 8years of age and used to derive developmental trajectories of HIS (n = 1428). Multivariate models were adjusted for confounders including socioeconomic status, maternal lifestyle behaviours (exercise, diet, smoking, alcohol), childcare and a stimulating home environment. Paternal BMI was used as a negative control. Compared to a normal pre-pregnancy BMI, pre-pregnancy maternal obesity was positively associated with increased odds of a high HIS trajectory between 3 and 8years old in both unadjusted and adjusted logistic regression (adjusted odds ratio [aOR] 1.87 [95% CI 1.12, 3.12]). Pre-pregnancy overweight was not significantly associated after adjustment for confounders (aOR 1.32 [0.87, 2.01]). Maternal pre-pregnancy obesity, but not overweight, was associated with increased likelihood of a high HIS trajectory in children from 3 to 8years old. This association persisted despite controlling for many important maternal lifestyle factors and paternal BMI. Further research is warranted to identify possible mediators involved.

Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls.

Background and ObjectivesAs the worldwide secular trends are toward earlier puberty, identification of contributing factors for precocious puberty is critical. We aimed to identify and optimize contributing factors responsible for onset of precocious puberty via machine learning/deep learning algorithms in girls.MethodsA cross-sectional study was performed among girls aged 6-16 years from 26 schools in Beijing based on a cluster sampling method. Information was gleaned online via questionnaires. Machine/deep learning algorithms were performed using Python language (v3.7.6) on PyCharm platform.ResultsOf 11308 students enrolled, there are 5527 girls, and 408 of them had experienced precocious puberty. Training 13 machine learning algorithms revealed that gradient boosting machine (GBM) performed best in predicting precocious puberty. By comparison, six top factors including maternal age at menarche, paternal body mass index (BMI), waist-to-height ratio, maternal BMI, screen time, and physical activity were sufficient in prediction performance, with accuracy of 0.9530, precision of 0.9818, and area under the receiver operating characteristic curve (AUROC) of 0.7861. The performance of the top six factors was further validated by deep learning sequential model, with accuracy reaching 92.9%.ConclusionsWe identified six important factors from both parents and girls that can help predict the onset of precocious puberty among Chinese girls.

P-399 Effect of male body mass index on miscarriage rate following fertility treatment, a systematic review and meta-analysis

Abstract Study question Is raised paternal body mass index (BMI) important for the miscarriage rate following assisted reproductive technology (ART)? Summary answer Based on the available evidence, raised male BMI is not associated with higher risk of miscarriage following ART. What is known already More than half women and men of reproductive age worldwide are overweight or obese.There is extensive literature exploring the importance of normal female BMI for reproductive outcomes. However, little attention has been given to male BMI for couples seeking fertility treatment [1] .The adverse effect of male obesity on sperm parameters including DNA damage is well documented and there is evidence suggesting that raised male BMI results in significant decrease in live birth rate following ART [2] .Furthermore, emerging evidence from human and animal studies demonstrates that paternal obesity can affect the future health of the offspring through epigenetic pathways[3]. Study design, size, duration A computerized literature search was performed using EMBASE, MEDLINE, CINAHL and the Cochrane Central register of trials from database inception to November 2021. The aim was to explore the association between male BMI on miscarriage rate following ART. Reference lists of relevant studies were cross-checked. Only articles with full manuscripts available and published in English were included. Papers not relating to human subjects were excluded. All eligible studies were included (observational, prospective and retrospective studies). Participants/materials, setting, methods Included studies reported on couples undergoing ART for any indication using partner’s fresh sperm. Outcomes of interest were miscarriage rate and clinical pregnancy rate. Outcome data from each study were pooled and expressed as odds ratio (OR) with 95% confidence interval (CI) by using a random-effect model due to statistical heterogeneity in the outcome data[4]. Heterogeneity of treatment effects was evaluated using the I2 statistic to quantify the variation across studies caused by heterogeneity. Main results and the role of chance Abstract screening identified 197 relevant studies. After excluding duplicates, reviews and studies which did not fulfill the inclusion criteria, full manuscripts were accessed for 13 studies. Six studies were identified exploring the effect of male BMI on miscarriage following ART, two prospective and four retrospective. The quality of evidence was low using the GRADE framework. Meta-analysis was possible for three studies including 6793 couples undergoing ART. Outcomes were compared for male BMI &amp;lt; 25 kg/m2 versus BMI &amp;gt;/=25 kg/m2 . The pooled results did not show a statistically significant increase in miscarriage rate when the male partner was overweight or obese compare to normoweight (OR 1.32, 95% CI 0.82–2.1, P = 0.249). There was significant heterogeneity between the included studies (I 2 = 48.7%). There was no significant effect of male BMI on clinical pregnancy rate (OR 0.90, 95% CI 0.59–1.38, P = 0.637). For two of the remaining studies which could not be included in the meta-analysis due to missing data, the authors concluded that male BMI &amp;gt;25 was not associated with increased miscarriage risk whilst the most recent prospective study showed that high male BMI was associated with increased risk of chromosomal aberration-related miscarriages. Limitations, reasons for caution The number of the included studies and significant heterogeneity are the main limitations. It was not possible to account for important confounders such as age, subfertility diagnosis, type of stimulation and laboratory parameters including embryo grade. We grouped participants in two BMI categories therefore did not distinguish between overweight/obesity/morbid obesity. Wider implications of the findings Despite increasing evidence suggestive of adverse effect of raised male BMI on reproductive outcomes, there is limited literature exploring the impact on miscarriage rate following ART. More well-designed studies are needed for sound conclusions. Paternal characteristics, general health and preconception lifestyle should not be overlooked in the fertility consultation. Trial registration number not applicable

Impact of paternal body mass index on assisted reproduction treatment outcomes: An updated systematic review and meta-analysis.

The aim was to provide updated evidence on the association of male body mass index (BMI) with outcomes of assisted reproduction technology (ART). PubMed, Embase, and Scopus databases were systematically searched. The review included observational studies in patients undergoing ART, that is, either in-vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) and compared rate of clinical pregnancy and live birth based on different categories of male BMI. Quality of the pooled findings was assessed using the GRADE criteria. A total of 19 studies were included in the review. Among subjects undergoing IVF, there were no significant differences in the rates of clinical pregnancy among overweight (odds ratio [OR] 1.38, 95% confidence interval [CI]: 0.65, 2.96) and obese (OR 1.86, 95% CI: 0.75, 4.58) BMI, compared to normal male BMI. Similarly, there were no significant differences in the rates of live birth among overweight (OR 1.04, 95% CI: 0.97, 1.13) and obese BMI (OR 0.90, 95% CI: 0.69, 1.18) when compared to males with normal BMI. Further, among those undergoing ICSI, there were no significant differences in the odds of clinical pregnancy among overweight (OR 0.98, 95% CI: 0.73, 1.33) and obese (OR 0.89, 95% CI: 0.62, 1.29). The odds of live births among overweight (OR 0.97, 95% CI: 0.89, 1.05) and obese (OR 0.95, 95% CI: 0.84, 1.07) male BMI were statistically similar to males with normal BMI undergoing ICSI. The low to very low-quality findings suggest no significant association of overweight and obese BMI with clinical pregnancy and live birth rates among couples undergoing either IVF or ICSI.

The Association between Longitudinal BMI Patterns in Children and their Parents

ObjectivesParental (maternal and paternal) weight before and after pregnancy has been associated with an increased risk of obesity in the offspring. However, less is known on the longitudinal association between parental and child growth trajectories across early childhood. This work aims to describe parental and child body mass index (BMI) trajectory patterns from birth until adolescence and assess their association.MethodsWe analyzed 1537 single-child families participating in the Applied Research Group for Kids (TARGet Kids! ) cohort (ON, Canada). Children and their parents had repeated measurements of weight and length or height from child's birth to 13 years during scheduled visits with their primary care physician. These measurements were used to calculate BMI for parents and age and sex adjusted BMI z-scores (zBMI) for children based on the World Health Organization. Latent class mixed modeling was used to identify children and parental growth patterns. A loglinear analysis was conducted to study the tri-party interaction between child, maternal, paternal longitudinal patterns. Jaccard distance was used to assess cluster similarity.ResultsWe identified two distinct patterns in children (normal, increasing obesity), mothers (normal, increasing obesity), and fathers (overweight, obesity). The three-way loglinear analysis indicated that the tri-party interaction between children, maternal and paternal growth patterns interaction was significant (χ2 (1) = 15.1, p < .001). 92.1% of children in the normal pattern had mothers in the normal pattern and fathers in the overweight pattern. Cluster similarity was 63% for mothers and children, but 12.5% between fathers and children, with most children from the increasing obesity group with a father in the overweight group.ConclusionsThere is a significant tri-party association between children, maternal and paternal BMI patterns from birth to adolescence. Future studies should aim in studying eating and other health behaviors associated with these relationships at the family level.Funding SourcesJoannah and Brian Lawson Center for Child Nutrition, Ontario Graduate Scholarship, Canadian Institutes of Health Research.

Relationship between paternal factors and embryonic aneuploidy of paternal origin

To determine if there is a relationship between paternal factors and embryonic aneuploidy of paternal origin using preimplantation genetic testing for aneuploidy (PGT-A). Retrospective cohort. Academic. Couples undergoing invitro fertilization with PGT-A. None. To determine if there is an association between paternal age, body mass index (BMI), or semen analysis parameters and paternal aneuploidy. From January 2015-2020, 453 invitro fertilization cycles (1,720 embryos) underwent PGT-A using single nucleotide polymorphism microarrays with parental support bioinformatics. The mean (±SD) was 36.5 (±3.5) years for maternal age, 39.5 (±5.5) years for paternal age, 24.7 (±5.0) kg/m2 for maternal BMI, and 27.6 (±4.3) kg/m2 for paternal BMI. Embryonic aneuploidy of paternal origin was found in 8.4% (144/1,720) embryos. There were 1,533 embryos with a recorded paternal BMI. Rates of embryonic aneuploidy of paternal origin were similar between men across BMI groups: BMI 18-24.9 kg/m2 was 7.2% (referent); BMI 25-29.9 kg/m2 was 8.4% (odds ratio [OR], 1.12; 95% confidence interval [CI], 0.79-1.82); and BMI ≥30 kg/m2 was 9.1% (OR, 1.31; 95% CI, 0.83-2.08). There were 854 embryos from men with a normal and 866 from men with an abnormal semen analysis. No differences were found in the rate of embryonic aneuploidy of paternal origin between men with normal and abnormal sperm concentration, total count, motility, progressive motility, or morphology. No significant difference was seen in rates of aneuploidy between men aged <50 years and those aged ≥50 years (OR, 1.69; 95% CI, 0.96-2.98). No association was found between paternal age, BMI, or semen analysis parameters and paternal aneuploidy.

Explorations on risk profiles for overweight and obesity in 9501 preschool-aged children

BackgroundChildhood obesity places a major burden on global public health. We aimed to identify and characterize potential factors, both individually and jointly, in association with overweight and obesity in Chinese preschool-aged children. MethodsWe cross-sectionally recruited 9501 preschool-aged children from 30 kindergartens in Beijing and Tangshan. Overweight and obesity are defined according to the World Health Organization (WHO), International Obesity Task Force (IOTF), and China criteria. ResultsAfter multivariable adjustment, eating speed, sleep duration, birthweight, and paternal body mass index (BMI) were consistently and significantly associated with childhood overweight and obesity under three growth criteria at a significance level of 5%. Additional fast food intake frequency, maternal BMI, gestational weight gain (GWG) and maternal pre-pregnancy BMI were significant factors for overweight (WHO criteria) and obesity (both IOTF and China criteria). Importantly, there were significant interactions between parental obesity and eating speed for childhood obesity. Finally, for practical reasons, risk nomogram models were constructed for childhood overweight and obesity based on significant factors under each criterion, with good prediction accuracy. ConclusionOur findings indicated a synergistic association of lifestyle, fetal and neonatal, and family-related factors with the risk of experiencing overweight and obesity among preschool-aged children.

Socioeconomic disparities and infancy growth trajectory: a population-based and longitudinal study

BackgroundThe association of low socioeconomic status (SES) with childhood and adolescent obesity has been reported. It is unknown whether low SES affects body mass index (BMI) growth trajectory in the first 12 mo of life. Moreover, accelerated growth as a compensatory mechanism for low birth weight (LBW) during infancy, is an important predictor of later obesity. The aim of the present study was to examine the association of low SES with infancy BMI growth rate and trajectory for LBW and normal birth weight (NBW) infants.MethodsFrom September 2012 to October 2014, a total of 387 infants in this longitudinal study was subjected to repeated measures of weight and length from birth to 12 mo in Hefei. Generalized growth mixture modeling was used to classify the infancy BMI growth trajectories. Differences in infancy BMI z score (zBMI) and BMI growth rate between low SES and high SES were estimated based on linear regression after adjusting for several confounders including maternal age, pregnancy BMI, physical activity during pregnancy, paternal BMI as well as alcohol use, paternal smoking status, breastfeeding duration and delivery mode.ResultsInfancy BMI trajectories in this study were classified into three categories: rapid growth (class 1), normal growth (class 2) and slow growth (class 3). Low SES infants had the higher zBMI than high SES infants for LBW group at age 6 mo [zBMI difference with 95% CI at 6 mo: 0.28(0.03, 0.53); at 12 mo: 0.21(0.01, 0.43)]. Low SES infants had more rapid zBMI growth rate than those with high SES for low birth weight between 0 and 6 months. Controlling for the confounders, these associations remained robust. We found the lower SES in the rapid growth group.ConclusionsThese findings highlighted the impact of low SES on increasing BMI and accelerated growth during early infancy. Health care and relatively optimal family environment in the first 12 mo of life, especially for LBW infants, are benefit to shape the better infancy growth trajectory.

Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account

To identify, besides maternal age and the number of previous pregnancy losses, additional characteristics of couples with unexplained recurrent pregnancy loss (RPL) that improve the prediction of an ongoing pregnancy. Hospital-based cohort study in couples who visited specialized RPL units of two academic centers between 2012 and2020. Two academic centers in the Netherlands. Clinical data from 526 couples with unexplained RPL were used in this study. None. The final model to estimate the chance of a subsequent ongoing pregnancy was determined using a backward selection process and internally validated using bootstrapping. Model performance was assessed in terms of calibration and discrimination (area under the receiver operating characteristic curve). Subsequent ongoing pregnancy was achieved in 345 of 526 couples (66%). The number of previous pregnancy losses, maternal age, paternal age, maternal body mass index, paternal body mass index, maternal smoking status, and previous invitro fertilization/intracytoplasmic sperm injection treatment were predictive of the outcome. The optimism-corrected area under the receiver operating characteristic curve was 0.63 compared with 0.57 when using only the number of previous pregnancy losses and maternal age. The identification of additional predictors of a subsequent ongoing pregnancy after RPL, including male characteristics, is significant for both clinicians and couples with RPL. At the same time, we showed that the predictive ability of the current model is still limited and more research is warranted to develop a model that can be used in clinical practice.

Associations of maternal weight status with the risk of offspring atopic dermatitis and wheezing by 1year of age.

Maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) have been linked to offspring allergic disorders. However, associations observed in previous studies were inconsistent and might be confounded by unmeasured familial factors. We aimed to examine the associations of maternal weight with offspring allergic disorders by using paternal BMI as a negative control exposure. We included the data of 10,522 children from the Born in Guangzhou Cohort Study, 2012-2017. Data on maternal weight were obtained from questionnaires and obstetric records, and paternal weight was collected from questionnaires. Atopic dermatitis (AD) and wheezing at the age of 1year were defined according to parent-reported physician diagnosis. Risk ratios (RRs) were estimated by log-binominal regression with mutual adjustment for maternal and paternal weight status. By the age of 1year, 16.2% and 7.9% of children were diagnosed with AD and wheezing, respectively. While maternal pre-pregnancy BMI as a continuous variable was not associated with offspring AD, infants of pre-pregnancy overweight/obese women had a higher risk of AD than those born to normal weight women; no such associations were observed for paternal BMI. Both maternal pre-pregnancy BMI and paternal BMI were positively associated with the risk of offspring wheezing. Maternal GWG was not associated with AD or wheezing. Our findings suggest that maternal pre-pregnancy overweight/obesity might increase the risk of infant AD via intrauterine mechanisms, whereas the association with wheezing might be confounded by uncontrolled familial factors. These findings may be valuable in early-life prevention for offspring allergic diseases.

The interaction effect between advanced paternal age and paternal obesity is associated with the low implantation rate in couples with unexplained recurrent pregnancy loss

ObjectiveTo explore the roles of advanced paternal age (APA) and abnormal paternal weight on embryo quality and pregnancy outcomes for unexplained recurrent pregnancy loss (uRPL) couples who underwent preimplantation genetic testing for aneuploidies (PGT-A). MethodsThis study included 779 uRPL couples who underwent their first PGT-A cycles between 2014 and 2018. Male patients’ aging and nutritional status were quantified by paternal age and body mass index (BMI). Routine semen parameters and sperm DNA fragmentation index (DFI) were used to reflect the seminal quality. Blastocyst formation rate and aneuploidy rate were used to reflect the embryo quality. Cycle cancellation rate, implantation rate, pregnancy loss rate, and live birth rate were measured to evaluate the treatment efficiency from IVF. To remove the interference of maternal age, only the women younger than 38 years old were included. After univariate screening, interaction tests were performed in a generalized linear model (GLM) to further examine the effects of paternal age and BMI on each outcome indicator. ResultsIn the total population (779 cycles), there were no statistical differences in aneuploidy rate, cycle cancellation rate, implantation rate, pregnancy loss rate, and live birth rate, whether stratified by paternal age or paternal BMI. Similar results occurred in the younger men (<40 y.o., 633 cycles). Conversely, among the men with advanced age (≥40 y.o., 146 cycles), there were statistical differences between the three BMI groups in four semen parameters (total sperm number, total motility, progressive motility, and total motile sperm count), implantation rate, and live birth rate. After interaction testing, the results of GLM suggested that the interaction effect between APA and paternal obesity was associated with the low implantation rate of uRPL couples. ConclusionsFor the uRPL couples seeking for PGT-A treatment, if the male patients have both advanced age and obesity, their spouses are at higher risks for embryo implantation failure.

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.

Foetal tobacco and cannabis exposure, body fat and cardio‐metabolic health in childhood

SummaryBackgroundFoetal tobacco and cannabis exposure may have persistent cardio‐metabolic consequences in the offspring.ObjectiveWe examined the associations of maternal and paternal tobacco and cannabis use during pregnancy with offspring body fat and cardio‐metabolic outcomes.MethodsIn a population‐based prospective cohort study among 4792 mothers, fathers, and children, we assessed parental substance use by questionnaires. Childhood outcomes included body mass index (BMI), body fat, blood pressure, and lipid, glucose and insulin concentrations at 10 years.ResultsChildren exposed to maternal tobacco use during pregnancy had a higher android/gynoid fat mass ratio (difference 0.22 SDS, 95% confidence interval [CI]: 0.13, 0.30), fat mass index (difference 0.20 SDS, 95% CI: 0.12, 0.28), triglyceride concentrations (difference 0.15 SDS, 95% CI: 0.04, 0.26), and a higher risk of overweight (odds ratio [OR] 1.35, 95% CI: 1.07, 1.71), compared to non‐exposed. Children exposed to maternal cannabis during pregnancy had a higher BMI (difference 0.26 SDS, 95% CI: 0.08, 0.44), android/gynoid fat mass ratio (difference 0.21 SDS, 95% CI: 0.04, 0.39), and fat‐free mass index (difference 0.24 SDS, 95% CI: 0.06, 0.41), compared to non‐exposed. The associations for paternal substance use with child cardio‐metabolic health outcomes were similar as those for maternal use.ConclusionsSimilar associations for maternal and paternal substance use during pregnancy suggest that these findings may be explained by shared family‐based social and lifestyle factors, rather than by direct foetal programming.

Associations of maternal non-nutritive sweetener intake during pregnancy with offspring body mass index and body fat from birth to adolescence.

The evidence that maternal non-nutritive sweetener (NNS) intake during pregnancy increases childhood obesity risk is conflicting. A potential reason for this is that all prior studies examined childhood body mass index (BMI) at only one timepoint and at different ages. We examined the extent to which NNS intake during pregnancy is associated with offspring BMI z-score and body fat longitudinally from birth to 18 years. A total of 1683 children from Project Viva, a prospective pre-birth cohort, were recruited from 1999 to 2002 in Massachusetts. We assessed maternal NNS intake in the first and second trimesters of pregnancy using a semiquantitative food frequency questionnaire. Our outcomes were offspring BMI z-score, (at birth, infancy (median 6.3 months), early childhood (3.2 years), mid-childhood (7.7 years), and early adolescence (12.9 years)), sum of skinfolds (SS), fat mass index (FMI) measured by dual x-ray absorptiometry, and BMI z-score trajectory from birth to 18 years. We adjusted models for maternal pre-pregnancy BMI, age, race/ethnicity, education, parity, pre-pregnancy physical activity, smoking, and paternal BMI and education. A total of 70% of mothers were white and pre-pregnancy BMI was 24.6 ± 5.2 kg/m2. The highest quartile of NNS intake (Q4: 0.98 ± 0.91 servings/day) was associated with higher BMI z-score in infancy (β 0.20 units; 95% CI 0.02, 0.38), early childhood (0.21; 0.05, 0.37), mid-childhood (0.21; 0.02, 0.40), and early adolescence (0.14; -0.07, 0.35) compared with Q1 intake (Q1: 0.00 ± 0.00 servings/day). Q4 was also associated with higher SS in early childhood (1.17 mm; 0.47, 1.88), mid-childhood (2.33 mm; 0.80, 3.87), and early adolescence (2.27 mm; -0.06, 4.60) and higher FMI in mid-childhood (0.26 kg/m2; -0.07, 0.59). Associations of maternal NNS intake with offspring BMI z-score became stronger with increasing age from 3 to 18 years (Pinteraction < 0.0001). Maternal NNS intake during pregnancy is associated with increased childhood BMI z-score and body fat from birth to teenage years. This is relevant given the escalating obesity epidemic, and popularity of NNS.

Paternal body mass index before conception associated with offspring’s birth weight in Chinese population: a prospective study

Whether paternal epigenetic changes resulting from nutrition might be inherited by their offspring remains unknown. This study evaluated the relationship between preconception paternal body weight and their offspring’s birth weight in 1,810 Chinese mother-father-baby trios. Information on paternal and maternal preconception body weight and height was collected via a self-reported questionnaire. Birth weight was collected from medical records. Paternal preconception body weight was associated with offspring’s birth weight (p trend = .02) after multivariate adjustment. Each standard deviation increment of paternal body mass index was associated with an additional 29.6 g increase of birth weight (95% confident interval: 5.7 g, 53.5 g). The association was more pronounced in male neonates, and neonates with overweight mothers, and with mothers who gained excessive gestational weight, compared to their counterparts (all p interaction < .05). Sensitivity analyses showed similar pattern to that of the main analysis. Paternal preconception body weight was associated with birth weight of their offspring. Impact statement What is already known on this subject? More efforts have previously been put on the maternal contribution to birth weight, however, it is uncertain whether paternal pre-conceptional body weight, an indicator for epigenetic information, might be inherited by their offspring. What do the results of this study add? In the current study that included 1,810 Chinese mother-father-baby trios, a small but significant association was observed between paternal preconception body weight and offspring’s birth weight (p trend =.02). What are the implications of these findings for clinical practice and/or further research? Paternal epigenetic information of nutrition could be inherited by their offspring.