Paternal contributions to large-for-gestational-age term babies: findings from a multicenter prospective cohort study

Maternal body mass index, gestational weight gain, and early childhood growth: A register-based cohort study

INTRODUCTION

Childhood obesity is associated with maternal obesity, but the link to gestational weight gain (GWG) is not fully elucidated. We examined the relationship between early pregnancy maternal body mass index (BMI) and GWG on early childhood growth.

MATERIAL AND METHODS

Data from 30 197 mother-child pairs from Uppsala County Mother and Child Cohort were divided into 15 groups according to maternal BMI and GWG, based on World Health Organization classification and Institute of Medicine guidelines, respectively. Postnatal growth patterns were analyzed with linear mixed regression models within maternal BMI groups. Odds ratios of overweight and obesity at 4 years of age were assessed with logistic regression analyses. We treated children of mothers with normal weight and adequate GWG as the reference group, and all analyses were adjusted for potential confounders.

RESULTS

GWG was associated with infant BMI z-score at birth, independent of potential confounding factors. Independent of GWG, we observed an overall decrease in BMI z-score from 18 months to 5 years in children of mothers who were underweight, while an increase in BMI z-score was seen in children of mothers who were overweight or obese. In children of normal- and overweight mothers, the risk of childhood overweight and obesity was associated with excessive compared to adequate GWG (adjusted odds ratio [aOR] 1.17, 95% confidence interval [CI] 1.01-1.36 for normal-weight mothers, and aOR 1.25, 95% CI 1.04-1.51 for overweight mothers, respectively). Children of mothers with obesity and excessive GWG had the highest risk of being overweight or obese at 4 years (aOR 2.88, 95% CI 2.40-3.44, and 4.38, 95% CI 3.37-5.67, respectively). Associations did not differ between children of mothers with obesity class 1 and 2-3 when comparing excessive and adequate GWG (aOR 1.33, 95% CI 0.96-1.85, and 1.12, 95% CI 0.74-1.70, respectively).

CONCLUSIONS

Maternal GWG affects infant birth size and growth until 18 months, although maternal BMI is more crucial for childhood growth beyond 18 months. Further, children of mothers who are normal- or overweight and experience excessive GWG have an increased risk of obesity at 4 years.

Analysis of the Incidence of Macrosomia in Japan by Parental Nationalities at 5-year Intervals From 1995 to 2020

OBJECTIVES

We investigated trends in the incidence rate of macrosomia and its association with parental nationalities using Vital Statistics data in Japan.

METHODS

We used singleton birth data every 5 years from 1995 to 2020. The incidence rate of macrosomia was calculated according to specific attributes (maternal age, infant's sex, parental nationalities, parity, and household occupation) over time (years). In addition, a log-binomial model was used to investigate the relationship between the incidence of macrosomia and the attributes. This study compared Korea, China, the Philippines, Brazil, and other countries with Japan in terms of parental nationalities. "Other countries" indicates countries except for Japan, Korea, China, the Philippines, and Brazil.

RESULTS

The study included 6 180 787 births. The rate of macrosomia in Japan decreased from 1.43% in 1995 to 0.88% in 2020, and the decrease was observed across all parental nationalities. The rates for Japanese parents were the lowest values among parental nationalities during the timespan investigated. Multivariate regression analysis showed that mothers from Korea, China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.91, 2.82, 1.59, 1.74, and 1.64, respectively). Furthermore, fathers from China, the Philippines, Brazil, and other countries had a significantly higher risk of macrosomia than those from Japan (risk ratio, 1.66, 1.38, 1.88, and 3.02, respectively).

CONCLUSIONS

The rate of macrosomia decreased from 1995 to 2020 in Japan for parents of all nationalities, and the risk of macrosomia incidence was associated with parental nationality.

Characterisation of the Paternal Influence on Intergenerational Offspring Cardiac and Brain Lipid Homeostasis in Mice

There is growing evidence that poor paternal diet at the time of conception increase the risk of offspring developing a range of non-communicable metabolic diseases, such as obesity, diabetes and cardiovascular disease, in adulthood. We hypothesise that a paternal low protein-high carbohydrate diet perturbs offspring tissue lipid abundance through both sperm and seminal plasma-mediated mechanisms. To test our hypothesis, we fed male C57BL/6 mice either a control normal protein diet (NPD; 18% protein) or an isocaloric low protein diet (LPD; 9% protein) for a minimum of 8 weeks. We generated offspring through artificial insemination, in combination with vasectomised male mating. Using this approach, we derived offspring from either NPD or LPD sperm but in the presence of NPD or LPD seminal plasma. Using high resolution mass-spectrometry, we found that offspring derived from either LPD sperm or seminal fluid displayed perturbed cardiac and brain lipid abundance from just three weeks of age, typically associated with the altered abundance of tissue triglycerides. We also observed the differential sex-specific patterns of lipids between the control and experimental offspring's hearts and brains. These observations indicate that poor paternal diet at the time of conception affects offspring cardiac and brain lipid profiles in an age-, sex- and generation-specific manner.

Advanced parental age is an independent risk factor for term low birth weight and macrosomia

We aimed to investigate association between parental age and the risks of term low birth weight and macrosomia. This was a retrospective cohort study using a national database including 2,245,785 term singleton live births with complete parental age data. Old parental age was defined as 35 years or older. Odd ratios (OR) for term low birth weight and macrosomia were analyzed using univariate and multivariate logistic regression analysis. Neonatal sex, maternal occupation, parity, nationality, age, and paternal age were significant factors of term low birth weight and macrosomia, in univariate analysis. In multivariate analysis, old maternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.122, 95% CI: 1.083 -1.162; and aOR = 1.166, 95% CI: 1.143 - 1.189, respectively). Similarly, old paternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.090, 95% CI: 1.058 -1.122; and aOR = 1.101, 95% CI: 1.083 - 1.119, respectively). Maternal education that lasted more than 12 years had reduced odds of term low birth weight and macrosomia (OR = 0.817, 95% CI: 0.792 -0.842; and OR = 0.894, 95% CI: 0.879 - 0.91, respectively). Paternal education that lasted more than 12 years also had reduced odds of term low birth weight and macrosomia (OR = 0.865, 95% CI: 0.84 -0.892; and OR = 0.897, 95% CI: 0.881 - 0.913, respectively). This study suggests that not only maternal age but also paternal age are significantly associated with term low birth weight and macrosomia. In addition, parental education levels are also associated with term low birth weight and macrosomia.

Effects of paternal overnutrition and interventions on future generations

In the last two decades, evidence from human and animal studies suggests that paternal obesity around the time of conception can have adverse effects on offspring health through developmental programming. This may make significant contributions to the current epidemic of obesity and related metabolic and reproductive complications like diabetes, cardiovascular disease, and subfertility/infertility. To date, changes in seminal fluid composition, sperm DNA methylation, histone composition, small non-coding RNAs, and sperm DNA damage have been proposed as potential underpinning mechanism to program offspring health. In this review, we discuss current human and rodent evidence on the impact of paternal obesity/overnutrition on offspring health, followed by the proposed mechanisms, with a focus on sperm DNA damage underpinning paternal programming. We also summarize the different intervention strategies implemented to minimize effects of paternal obesity. Upon critical review of literature, we find that obesity-induced altered sperm quality in father is linked with compromised offspring health. Paternal exercise intervention before conception has been shown to improve metabolic health. Further work to explore the mechanisms underlying benefits of paternal exercise on offspring are warranted. Conversion to healthy diets and micronutrient supplementation during pre-conception have shown some positive impacts towards minimizing the impact of paternal obesity on offspring. Pharmacological approaches e.g., metformin are also being applied. Thus, interventions in the obese father may ameliorate the potential detrimental impacts of paternal obesity on offspring.

Preconception paternal/maternal BMI and risk of small/large for gestational age infant in over 4·7 million Chinese women aged 20-49 years: a population-based cohort study in China

Evidence of couples' BMI and its influence on birth weight is limited and contradictory. Therefore, this study aims to assess the association between couple's preconception BMI and the risk of small for gestational age (SGA)/large for gestational age (LGA) infant, among over 4·7 million couples in a retrospective cohort study based on the National Free Pre-pregnancy Checkups Project between 1 December 2013 and 30 November 2016 in China. Among the live births, 256 718 (5·44 %) SGA events and 506 495 (10·73 %) LGA events were documented, respectively. After adjusting for confounders, underweight men had significantly higher risk (OR 1·17 (95 % CI 1·15, 1·19)) of SGA infants compared with men with normal BMI, while a significant and increased risk of LGA infants was obtained for overweight and obese men (OR 1·08 (95 % CI 1·06, 1·09); OR 1·19 (95 % CI 1·17, 1·20)), respectively. The restricted cubic spline result revealed a non-linear decreasing dose-response relationship of paternal BMI (less than 22·64) with SGA. Meanwhile, a non-linear increasing dose-response relationship of paternal BMI (more than 22·92) with LGA infants was observed. Moreover, similar results about the association between maternal preconception BMI and SGA/LGA infants were obtained. Abnormal preconception BMI in either women or men were associated with increased risk of SGA/LGA infants, respectively. Overall, couple's abnormal weight before pregnancy may be an important preventable risk factor for SGA/LGA infants.

Relation of maternal birthweight with early pregnancy obesity, gestational diabetes, and offspring macrosomia

This study aimed to investigate how maternal birthweight is related to early pregnancy obesity, gestational diabetes mellitus (GDM), and offspring birthweight. Females born term and singleton in Sweden between 1973 and 1995 (N = 305,893) were studied at their first pregnancy. Information regarding their birthweight, early pregnancy body mass index, and pregnancy complications was retrieved from the Swedish Medical Birth Register, as were data on their mothers and offspring. High maternal birthweights (2-3 standard deviation scores (SDS) and >3 SDS) were associated with greater odds of early pregnancy obesity, odds ratio (OR) 1.52 (95% confidence interval (CI) 1.42-1.63) and OR 2.06 (CI 1.71-2.49), respectively. A low maternal birthweight (<2 SDS) was associated with greater odds of GDM (OR 2.49, CI 2.00-3.12). No association was found between high maternal birthweight and GDM. A maternal birthweight 2-3 SDS was associated with offspring birthweight 2-3 SDS (OR 3.83, CI 3.44-4.26), and >3 SDS (OR 3.55, CI 2.54-4.97). Corresponding ORs for a maternal birthweight >3 SDS were 5.38 (CI 4.12-7.01) and 6.98 (CI 3.57-13.65), respectively. In conclusion, a high maternal birthweight was positively associated with early pregnancy obesity and offspring macrosomia. A low, but not a high maternal birthweight, was associated with GDM.

Maternal Variables as Determinant of Fetal Growth: Study Protocol on Customized Fetal Growth Charts in Malaysia (GROW-My)

Adverse perinatal outcomes such as stillbirth, low birth weight and small for gestational age are still reported to be of high prevalence despite advanced healthcare technology and good quality hospital services in Malaysia. The purpose of this study is to create a model to evaluate individualized birth weight customized for maternal characteristics in a Malaysian population. Three phases are involved in designing the customized fetal growth chart (GROW-My). Baseline data is collected from previous pregnancies in the UKM Medical Centre from year 2010 to 2017. Specific maternal attributes were screened for its completeness and validity, namely maternal height and weight at booking, maternal ethnicity and parity, and the baby's birth weight, for all singleton pregnancies. The design and construction of a Malaysian customized fetal growth chart, Growth Related Optimal Weight (GROW-MY) was based on baseline birth data. The customized chart is used in the implementation phase for testing its feasibility, taking into consideration feedback from caregivers and patients before and after implementation. The current study provides staunch information and data regarding the needs and strategies for using maternal variables for estimating birth weight and the risk of being small for gestational age, in order to facilitate screening and appropriate management. With improved diagnosis of fetal growth restriction, medical care and treatment costs can be reduced.

A prediction model for childhood obesity in New Zealand

Several early childhood obesity prediction models have been developed, but none for New Zealand's diverse population. We aimed to develop and validate a model for predicting obesity in 4-5-year-old New Zealand children, using parental and infant data from the Growing Up in New Zealand (GUiNZ) cohort. Obesity was defined as body mass index (BMI) for age and sex ≥ 95th percentile. Data on GUiNZ children were used for derivation (n = 1731) and internal validation (n = 713). External validation was performed using data from the Prevention of Overweight in Infancy Study (POI, n = 383) and Pacific Islands Families Study (PIF, n = 135) cohorts. The final model included: birth weight, maternal smoking during pregnancy, maternal pre-pregnancy BMI, paternal BMI, and infant weight gain. Discrimination accuracy was adequate [AUROC = 0.74 (0.71-0.77)], remained so when validated internally [AUROC = 0.73 (0.68-0.78)] and externally on PIF [AUROC = 0.74 [0.66-0.82)] and POI [AUROC = 0.80 (0.71-0.90)]. Positive predictive values were variable but low across the risk threshold range (GUiNZ derivation 19-54%; GUiNZ validation 19-48%; and POI 8-24%), although more consistent in the PIF cohort (52-61%), all indicating high rates of false positives. Although this early childhood obesity prediction model could inform early obesity prevention, high rates of false positives might create unwarranted anxiety for families.

Paternal metabolic and cardiovascular programming of their offspring: A systematic scoping review

BACKGROUND

There is lots of evidence that maternal peri-gestational metabolic, genomic and environmental conditions are closely linked to metabolic and cardiovascular outcomes in their offspring later in life. Moreover, there is also lotsof evidence that underlining mechanisms, such as molecular as well as epigenetic changes may alter the intrauterine environment leading to cardio-metabolic diseases in their offspring postnatal. But, there is also increasing evidence that cardio-metabolic diseases may be closely linked to their paternal metabolic risk factors, such as obesity, Type 2 Diabetes and other risk factors.

OBJECTIVE

To analyse the evidence as well as specific risk factors of paternal trans-generational programming of cardio-metabolic diseases in their offspring.

METHODS

Within a systematic scoping review, we performed a literature search in MEDLINE (PubMed) and EMBASE databases in August 2020 considering original research articles (2000-2020) that examined the impact of paternal programming on metabolic and cardiovascular offspring health. Epidemiological, clinical and experimental studies as well as human and animal model studies were included.

RESULTS

From n = 3.199 citations, n = 66 eligible studies were included. We selected n = 45 epidemiological as well as clinical studies and n = 21 experimental studies. In brief, pre-conceptional paternal risk factors, such as obesity, own birth weight, high-fat and low-protein diet, undernutrition, diabetes mellitus, hyperglycaemia, advanced age, smoking as well as environmental chemical exposure affect clearly metabolic and cardiovascular health of their offspring later in life.

CONCLUSIONS

There is emerging evidence that paternal risk factors, such as paternal obesity, diabetes mellitus, nutritional habits, advanced age and exposure to environmental chemicals or cigarette smoke, are clearly associated with adverse effects in metabolic and cardiovascular health in their offspring. Compared to maternal programming, pre-conceptional paternal factors might also have also a substantial effect in the sense of trans-generational programming of their offspring and need further research.

Novel sex-specific influence of parental factors on small-for-gestational-age newborns

Since fetal programming is sex-specific, there may also be sex-specific in parental influences on newborn birth weight. We aimed to investigate the influence of parental factors on small-for-gestational-age (SGA) infants of different sexes. Based on a pre-pregnancy cohort, multivariate logistic regression was used. 2275 couples were included for analysis. Significant associations were observed among paternal height, pre-pregnancy body mass index (BMI), and SGA in male infants; among maternal height, pre-pregnancy BMI, and SGA in female infants, and among other maternal factors and SGA in both male and female infants. Such sex specificity may be related to genetic, epigenetic, or hormonal influences between parents and infants. In conclusion, there is a sex specificity in the effect of parental height and pre-pregnancy BMI on SGA. The data suggest that future studies on infants should consider the sex-specific differences between the effects of genetic or environmental factors and infants.

Effect of paternal body mass index on neonatal outcomes of singletons after frozen-thawed embryo transfer cycles: analysis of 7,908 singleton newborns

OBJECTIVE

To investigate the effect of paternal body mass index (BMI) on neonatal outcomes of singletons after frozen-thawed embryo transfer (FET) cycles.

DESIGN

Retrospective cohort study.

SETTING

Tertiary-care academic medical center.

PATIENT(S)

A total of 7,908 singleton newborns were divided into four categories based on their paternal BMI: 284 (3.6%) infants were in the paternal underweight category, 4,678 (59.2%) infants were in the paternal normal weight category, 2,585 (32.7%) infants were in the paternal overweight category, and 361 (4.6%) infants were in the paternal obesity category. In addition, we included only infants of women with normal BMI (18.5 kg/m² ≤ BMI < 25 kg/m²).

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

Neonatal outcomes.

RESULT(S)

The rates of large for gestational age (LGA) infants were significantly higher among those in the paternal overweight and obesity categories than those in the paternal underweight categories. The rates of very LGA were higher among infants in the paternal overweight categories and lower among infants in the paternal underweight categories than the rates in normal controls. The rates of fetal macrosomia were higher among infants in the paternal overweight categories than among infants in the paternal normal weight categories. Compared with normal controls, Z-scores (gestational age- and sex-adjusted birthweight) were significantly higher among the infants in the paternal overweight and paternal obesity categories and significantly lower among the infants in the paternal underweight categories. A positive association was observed in a multiple linear regression model between paternal BMI and newborn birthweights after adjustment for several potential confounders.

CONCLUSION(S)

Paternal BMI had an independent impact on the birthweight of singletons born after FET cycles. Paternal overweight and paternal obesity were independent risk factors for having LGA infants after FET cycles. Furthermore, paternal overweight was an independent risk factor for fathering infants with macrosomia or very LGA infants after FET cycles.

Large-for-gestational-age phenotypes and obesity risk in adulthood: a study of 195,936 women

While there is evidence that being born large-for-gestational-age (LGA) is associated with an increased risk of obesity later in life, the data are conflicting. Thus, we aimed to examine the associations between proportionality at birth and later obesity risk in adulthood. This was a retrospective study using data recorded in the Swedish Birth Register. Anthropometry in adulthood was assessed in 195,936 pregnant women at 10-12 weeks of gestation. All women were born at term (37-41 weeks of gestation). LGA was defined as birth weight and/or length ≥2.0 SDS. Women were separated into four groups: appropriate-for-gestational-age according to both weight and length (AGA - reference group; n = 183,662), LGA by weight only (n = 4,026), LGA by length only (n = 5,465), and LGA by both weight and length (n = 2,783). Women born LGA based on length, weight, or both had BMI 0.12, 1.16, and 1.08 kg/m² greater than women born AGA, respectively. The adjusted relative risk (aRR) of obesity was 1.50 times higher for those born LGA by weight and 1.51 times for LGA by both weight and height. Length at birth was not associated with obesity risk. Similarly, women born LGA by ponderal index had BMI 1.0 kg/m² greater and an aRR of obesity 1.39 times higher than those born AGA. Swedish women born LGA by weight or ponderal index had an increased risk of obesity in adulthood, irrespective of their birth length. Thus, increased risk of adult obesity seems to be identifiable from birth weight and ignoring proportionality.

Childhood obesity in New Zealand

BACKGROUND

Paediatric obesity has reached epidemic proportions globally, resulting in significant adverse effects on health and wellbeing. Early life events, including those that happen before, during, and after pregnancy can predispose children to later obesity. The purpose of this review is to examine the magnitude of obesity among New Zealand children and adolescents, and to determine their underlying risk factors and associated comorbidities.

DATA SOURCES

PubMed, Web of Science, and Google Scholar searches were performed using the key terms "obesity", "overweight", "children", "adolescents", and "New Zealand".

RESULTS

Obesity is a major public health concern in New Zealand, with more than 33% of children and adolescents aged 2-14 years being overweight or obese. Obesity disproportionately affects Māori (New Zealand's indigenous population) and Pacific children and adolescents, as well as those of lower socioeconomic status. New Zealand's obesity epidemic is associated with numerous health issues, including cardiometabolic, gastrointestinal, and psychological problems, which also disproportionately affect Māori and Pacific children and adolescents. Notably, a number of factors may be useful to identify those at increased risk (such as demographic and anthropometric characteristics) and inform possible interventions.

CONCLUSIONS

The prevalence of overweight and obese children and adolescents in New Zealand is markedly high, with a greater impact on particular ethnicities and those of lower socioeconomic status. Alleviating the current burden of pediatric obesity should be a key priority for New Zealand, for the benefit of both current and subsequent generations. Future strategies should focus on obesity prevention, particularly starting at a young age and targeting those at greatest risk.