Invited Commentary: Aligning Methodological Research on Pregnancy Weight Gain With the Questions That Matter Most for Public Health Guidelines.

The inherent correlation between the total amount of weight gained in pregnancy and the duration of pregnancy creates major methodological challenges in the study of pregnancy weight gain. In this issue (Am J Epidemiol. 2022;191(10):1687-1699), Richards et al. examine the extent to which different measures of pregnancy weight gain (including covariate adjustment for gestational age and standardizing weight gain for gestational duration using a pregnancy weight gain chart) are able to disentangle the effects of low weight gain on perinatal health from the role of younger gestational age at delivery for 3 outcomes: small-for-gestational-age birth, cesarean delivery, and low birth weight. While methodological research to understand how to best disentangle the effects of gestational weight gain from pregnancy duration is valuable, we argue that the practical utility of this type of research would be increased by aligning the specific research questions more closely with health outcomes on which evidence is most needed-those not considered in current weight gain guidelines due to lack of high-quality evidence (such as pre-eclampsia and stillbirth). Further, evaluations of weight gain charts should separate out the potential for bias introduced by the use of a normative chart per se from the use of a chart unsuitable for the study population.

The investigation of the association of pregnancy weight gain on maternal and neonatal gut microbiota composition and abundance using 16sRNA sequencing.

OBJECTIVE: To investigate the association of pregnancy weight gain on gut microbiota in pregnant women and newborns. METHODS: Pregnant women who had regular antenatal check-ups and were hospitalised for delivery at Shanxi Maternal and Child Health Hospital from September 2020 to December 2020 were selected as the study subjects. They were divided into the normal pre-pregnancy weight-normal pregnancy weight gain group (N-NG group), the normal pregnancy weight-excessive pregnancy weight gain group (N-EG group), the pre-pregnancy overweight/obese-normal pregnancy weight gain group (O-NG group) and the pre-pregnancy overweight/obese-excessive pregnancy weight gain group (O-EG group). Faecal samples of the pregnant women before delivery (37-41+ 6 weeks of gestation) and the first meconium samples of their newborns were collected, sequenced for 16S rRNA gut microbiota and analysed. The results of different gut microbiota were compared separately. χ2 test, a one-way analysis of variance or the rank sum test were performed according to data type and distribution. The differences in the Alpha diversity between the groups were analysed using the Kruskal-Wallis rank sum test. The differences in the Beta diversity between the groups were analysed using the Adonis method. RESULTS: A total of 126 pre-delivery faecal samples from pregnant women and the first faecal samples from their newborns were collected. Seven species with significant abundance differences between the maternal O-NG and N-EG groups and 27 species with significant abundance differences in the newborns were analysed by LEfSe. In the Alpha diversity analysis, the differences in the maternal observed species index and the Chao1 index were statistically significant (p < 0.05) when compared between the groups (O-EG group versus the O-NG group, N-EG group and N-NG group), and the differences in the Shannon index and Simpson index were not statistically significant (p > 0.05) when compared between the groups. The neonatal observed species index, Chao1 index, Shannon index and Simpson index showed statistically significant differences in the comparison between the N-EG and O-EG groups (p < 0.05). In the Beta diversity analysis, the maternal samples did not differ Significantly between the four groups (p > 0.05), while the neonatal samples differed Significantly between the N-EG and N-NG, O-NG, and O-EG groups (p < 0.05). CONCLUSION: Pregnancy weight gain affects the composition and abundance of maternal and neonatal gut microbiota species as well as the diversity of neonatal gut microbiota.

Gestational weight gain adequacy among twin pregnancies in France.

The objective of this paper is to describe gestational weight gain (GWG), to assess the applicability of the 2009 Institute of Medicine (IOM) guidelines, and to derive a GWG adequacy classification within a French cohort. We included twins from the national, prospective, population-based JUmeaux MODe d'Accouchement (JUMODA) cohort study (2014-2015). Following the IOM approach, we selected a 'standard' population of term pregnancies with 'optimal' birthweight (≥2500 g; n = 2562). GWG adequacy (insufficient; adequate; excessive) was defined using IOM recommendations (normal body mass index [BMI]: 16.8-24.5 kg [also utilized for underweight BMI]; overweight: 14.1-22.7 kg; obese: 11.4-19.1 kg). Additionally, using the IOM approach, we determined the 25th and 75th percentiles of GWG in our standard population to create a JUMODA-derived GWG adequacy classification. GWG and GWG adequacy were described, overall and by BMI and parity. In the JUMODA standard population of term twin livebirths with optimal birthweight, mean GWG was 16.1 kg (standard deviation 6.3). Using IOM recommendations, almost half (46.5%) of the women had insufficient and few (10.0%) had excessive GWG, with similar results regardless of BMI or parity. The 25th and 75th percentiles of GWG in the JUMODA standard population (underweight: 13-21 kg; normal weight: 13-20 kg; overweight: 11-19 kg; obese: 7-16 kg) were lower than the IOM recommendations. The IOM recommendations classified a relatively high percentage of French women as having insufficient and a low percentage as having excessive GWG. Additional research to evaluate recommendations in relation to adverse perinatal outcomes is needed to determine whether the IOM recommendations or the JUMODA-derived classification is more appropriate for French twin gestations.

A theory driven, pragmatic trial implementing changes to routine antenatal care that supports recommended pregnancy weight gain.

BACKGROUND: Prevention of weight gain outside recommendations is a challenge for health services, with several barriers to best practice care identified. The aim of this pragmatic implementation study with a historical control was to examine the impact of implementing a service wide education program, and antenatal care pregnancy weight gain chart combined with brief advice on women's knowledge of recommended gestational weight gain (GWG), the advice received and actual GWG. METHODS: The PRECEDE PROCEED Model of Health Program planning guided intervention and evaluation targets and an implementation science approach facilitated service changes. Pregnant women < 22 weeks' gestation attending the antenatal clinic at a metropolitan birthing hospital in Australia were recruited pre (2010, n = 715) and post (2016, n = 478) implementation of service changes. Weight measurements and questionnaires were completed at recruitment and 36 weeks' gestation. Questionnaires assessed advice received from health professionals related to healthy eating, physical activity, GWG, and at recruitment only, pre-pregnancy weight and knowledge of GWG recommendations. RESULTS: Women who correctly reported their recommended GWG increased from 34% (pre) to 53% (post) (p < 0.001). Between pre and post implementation, the advice women received from midwives on recommended GWG was significantly improved at both recruitment- and 36-weeks' gestation. For normal weight women there was a reduction in GWG (14.2 ± 5.3 vs 13.3 ± 4.7 kg, p = 0.04) and clinically important reduction in excess GWG between pre and post implementation (31% vs 24%, p = 0.035) which remained significant after adjustment (AOR 0.53 [95%CI 0.29-0.96]) (p = 0.005). CONCLUSIONS: Service wide changes to routine antenatal care that address identified barriers to supporting recommended GWG are likely to improve the care and advice women receive and prevent excess GWG for normal weight women.

Gaps in the implementation and uptake of maternal nutrition interventions in antenatal care services in Bangladesh, Burkina Faso, Ethiopia and India.

Antenatal care (ANC) is the largest health platform globally for delivering maternal nutrition interventions (MNIs) to pregnant women. Yet, large missed opportunities remain in nutrition service delivery. This paper examines how well evidence-based MNIs were incorporated in national policies and programs in Bangladesh, Burkina Faso, Ethiopia and India. We compared the nutrition content of ANC protocols against global recommendations. We used survey data to elucidate the coverage of micronutrient supplementation, weight gain monitoring, dietary and breastfeeding counselling. We reviewed literature, formative research and program assessments to identify barriers and enabling factors of service provision and maternal nutrition practices. Nutrition information in national policies and protocols was often fragmented, incomplete and did not consistently follow global recommendations. Nationally representative data on MNIs in ANC was inadequate, except for iron and folic acid supplementation. Coverage data from subnational surveys showed similar patterns of strengths and weaknesses. MNI coverage was consistently lower than ANC coverage with the lowest coverage of weight gain monitoring and variable coverage of dietary and breastfeeding counselling. Key common factors associated with coverage were micronutrient supply disruptions; suboptimal counselling on maternal diet, weight gain, and breastfeeding; and limited or no record keeping. Adherence of women to micronutrient supplementation and dietary recommendations was low and associated with late and too few ANC contacts, poor maternal knowledge and self-efficacy, and insufficient family and community support. Models of comprehensive nutrition protocols and health systems that deliver maternal nutrition services in ANC are urgently needed along with national data systems to track progress.

Process of developing models of maternal nutrition interventions integrated into antenatal care services in Bangladesh, Burkina Faso, Ethiopia and India.

Integrating nutrition interventions into antenatal care (ANC) requires adapting global recommendations to fit existing health systems and local contexts, but the evidence is limited on the process of tailoring nutrition interventions for health programmes. We developed and integrated maternal nutrition interventions into ANC programmes in Bangladesh, Burkina Faso, Ethiopia and India by conducting studies and assessments, developing new tools and processes and field testing integrated programme models. This paper elucidates how we used information and data to contextualize a package of globally recommended maternal nutrition interventions (micronutrient supplementation, weight gain monitoring, dietary counselling and counselling on breastfeeding) and describes four country-specific health service delivery models. We developed a Theory of Change to illustrate common barriers and strategies for strengthening nutrition interventions during ANC. We used multiple information sources including situational assessments, formative research, piloting and pretesting results, supply assessments, stakeholder meetings, household and service provider surveys and monitoring data to design models of maternal nutrition interventions. We developed detailed protocols for implementing maternal nutrition interventions; reinforced staff capacity, nutrition counselling, monitoring systems and community engagement processes; and addressed micronutrient supplement supply bottlenecks. Community-level activities were essential for complementing facility-based services. Routine monitoring data, rapid assessments and information from intensified supervision were important during the early stages of implementation to improve the feasibility and scalability of models. The lessons from addressing maternal nutrition in ANC may serve as a guide for tackling missed opportunities for nutrition within health services in other contexts.

Rating the seriousness of maternal and child health outcomes linked with pregnancy weight gain.

BACKGROUND: Current pregnancy weight gain guidelines were developed based on implicit assumptions of a small group of experts about the relative seriousness of adverse health outcomes. Therefore, they will not necessarily reflect the values of women. OBJECTIVE: To estimate the seriousness of 11 maternal and child health outcomes that have been consistently associated with pregnancy weight gain by engaging patients and health professionals. METHODS: We collected data using an online panel approach with a modified Delphi structure. We selected a purposeful sample of maternal and child health professionals (n = 84) and women who were pregnant or recently postpartum (patients) (n = 82) in the United States as panellists. We conducted three concurrent panels: professionals only, patients only, and patients and professionals. During a 3-round online modified Delphi process, participants rated the seriousness of health outcomes (Round 1), reviewed and discussed the initial results (Round 2), and revised their original ratings (Round 3). Panellists assigned seriousness ratings (0, [not serious] to 100 [most serious]) for infant death, stillbirth, preterm birth, gestational diabetes, preeclampsia, small-for-gestational-age (SGA) birth, large-for-gestational-age (LGA) birth, unplanned caesarean delivery, maternal obesity, childhood obesity, and maternal metabolic syndrome. RESULTS: Each panel individually came to a consensus on all seriousness ratings. The final median seriousness ratings combined across all panels were highest for infant death (100), stillbirth (95), preterm birth (80), and preeclampsia (80). Obesity in children, metabolic syndrome in women, obesity in women, and gestational diabetes had median seriousness ratings ranging from 55 to 65. The lowest seriousness ratings were for SGA birth, LGA birth, and unplanned caesarean delivery (30-40). CONCLUSION: Professionals and women rate some adverse outcomes as being more serious than others. These ratings can be used to establish the range of pregnancy weight gain associated with the lowest risk of a broad range of maternal and child health outcomes.

Pregnancy weight gain may affect perinatal outcomes, quality of life during pregnancy, and child-bearing expenses: an observational cohort study.

PURPOSE: We aimed to examine the effect of gestational weight gain (GWG) on perinatal outcomes, quality of life (QoL) during pregnancy, and medical costs of childbirth. METHODS: The observational cohort comprised 2210 pregnant women who were classified into three groups based on their pre-pregnancy body mass index (BMI) and GWG in relation to the 2020 Institute of Medicine (IOM) recommendations. The data were collected on perinatal outcomes, urinary incontinence (UI) during pregnancy, changes in sexual function, and medical costs of hospitalization for delivery. Univariate and multivariable logistic regression models were employed to explore those associations. RESULTS: Only 42.1% of women met the 2020 IOM guidelines. After adjustments for potential confounding factors, women with above-normal GWG had adverse pregnancy outcomes, including a large fetal head circumference and macrosomia, and women with below-normal GWG were more likely to deliver low-birthweight fetuses preterm than women with normal GWG. Only 16.8% of women reported sexual activity during pregnancy. There were not significant differences in sexual activity and satisfaction, or QoL among the three GWG groups. Child-bearing expenses were higher for women with above-normal GWG than for women with normal GWG. Although the child-bearing expenses were higher for the above-normal GWG, the proportion of women with expenses above the median increased according to pre-pregnancy BMI. CONCLUSION: Our results show that inappropriate GWG is associated with a greater risk of adverse perinatal outcomes and increased medical expenses for delivery. Healthcare providers are advised to counsel women to maintain their GWG following the 2020 IOM recommendations throughout pregnancy.

Maternal pre-pregnancy body mass index, gestational weight gain and breastfeeding outcomes: a cross-sectional analysis.

BACKGROUND: It is well established that mothers with above-normal pre-pregnancy BMI are at increased risk of breastfeeding cessation; however, the impact of pregnancy weight-gain (PWG) is less well-defined. Excess PWG may alter the hormonal preparation of breast tissue for lactation, increase the risk of complications that negatively impact breastfeeding (e.g. Cesarean-section, gestational diabetes), and may make effective latch more difficult to achieve. METHODS: Our objective was to determine the impact of PWG and pre-pregnancy BMI on the risk of breastfeeding cessation utilizing the Institute of Medicine's 2009 recommendations. Cox proportional hazards models were utilized to estimate the risk of cessation of exclusive breastfeeding, and cessation of any breastfeeding among women who initiated exclusive and any breastfeeding, respectively, in a cross sectional sample of survey respondents from a New York county (N = 1207). PWG category was interacted with pre-pregnancy BMI (3 levels of pre-pregnancy BMI, 3 levels of PWG). Confounders of the relationship of interest were evaluated using directed acyclic graphs and bivariate analyses; variables not on the proposed causal pathway and associated with the exposure and outcome were included in multivariate models. RESULTS: After adjustment, women of normal and obese pre-pregnancy BMI with greater-than-recommended PWG had 1.39 (1.03-1.86) and 1.48 (1.06-2.07) times the risk of any breastfeeding cessation within the first 3 months postpartum compared to women with normal pre-pregnancy BMI who gained within PWG recommendations. Overweight women with greater-than-recommended PWG were at increased risk of cessation, although not significantly (aHR [95% CI]: 1.29 [0.95-1.75]). No significant relationship was observed for exclusive breastfeeding cessation. CONCLUSIONS: Pre-pregnancy BMI and PWG may be modifiable risk factors for early breastfeeding cessation. Understanding the mechanism behind this risk should be ascertained by additional studies aimed at understanding the physiological, social, logistical (positioning) and other issues that may lead to early breastfeeding cessation.

Trends in the incidence of fetal macrosomia and its phenotypes in the United States, 1971-2017.

PURPOSE: Studies have reported a surge in the prevalence of obesity among various demographic groups including pregnant women in the U.S. Given the association between maternal obesity and risk of fetal macrosomia, we hypothesized that the incidence of fetal macrosomia will be on the rise in the U.S. We examined trends in fetal macrosomia and macrosomia phenotypes in the U.S. among singleton live births within the gestational age of 28-42 weeks inclusive. METHODS: This was a retrospective cohort study covering the period 1971-2017 using U.S. Natality Data files. We applied Joinpoint regression models to derive the average annual percentage change in the outcome. We measured incidence and trends of fetal macrosomia which was defined as birth weight ≥ 4000 g. We further subdivided macrosomia into its phenotypes as previously recommended: Grade 1 (4000-4499 g), Grade 2 (4500-4999 g) and Grade 3 (≥ 5000 g). RESULTS: A total of 147,331,305 singleton births over the entire study period of 47 years were analyzed. From a baseline incidence of 8.84%, the rate of fetal macrosomia declined to 8.07% by the end of the study representing a drop of 8.70% in relative terms. The greatest drop was among infants with Grade 3 macrosomia, the most severe and lethal phenotype. The most impactful factors were maternal age and gestational weight gain. CONCLUSION: This study is the largest population-based study conducted regarding fetal macrosomia. The rate of fetal macrosomia declined over the previous 5 decades with the most substantial drop observed in the phenotype with the worst prognosis.

Early life environment influences the trajectory of post-partum weight loss in adult female rats.

RESEARCH QUESTION: The physiological processes of pregnancy and lactation require profound changes in maternal metabolism and energy balance. The timescale of metabolic reversion after pregnancy, in particular post-partum weight loss, is highly variable between individuals. Currently, mechanisms influencing post-partum metabolic recovery are not well understood. The hypothesis tested here is that, in common with other metabolic and obesity-related outcomes, capacity for post-partum weight loss is influenced by developmental programming. DESIGN: Adult female Wistar rats exposed to a maternal low-protein diet in utero then weaned onto a control diet post-natally (recuperated group) were compared with controls. Adult females from both groups underwent pregnancy at 3 months of age. Weight changes and metabolic parameters during pregnancy and lactation were compared between control and recuperated groups, and also with non-pregnant littermates. RESULTS: Pregnancy weight gain was not different between the control and recuperated groups, but post-partum recuperated animals remained significantly heavier than both post-partum control animals (P<0.05) and their non-pregnant recuperated littermates (P<0.05) at the end of lactation. Post-partum recuperated animals had more intra-abdominal fat mass (P<0.05) and higher serum triglyceride concentrations (P<0.01) than controls. Post-partum recuperated animals also had increased expression of IL6, NRF2 and ALOX12 (key regulators of inflammation and lipoxygenase activity) in the intra-abdominal adipose tissue compared with control groups. CONCLUSIONS: Mothers who themselves have been exposed to adverse early life environments are likely to have slower metabolic recovery from pregnancy than controls. Failure to return to pre-pregnancy weight after delivery predisposes to persisting sequential inter-pregnancy weight gain, which can represent a significant metabolic burden across a life course involving several pregnancies.

Total gestational weight gain and the risk of preeclampsia by pre-pregnancy body mass index categories: a population-based cohort study from 2013 to 2017.

Background Identifying the risk factors for preeclampsia (PE) is essential for the implementation of preventive actions. In the present study, we aimed at exploring the association between total gestational weight gain (GWG) and PE. Methods We performed a population-based cohort survey of 98,820 women with singleton pregnancies who delivered in Slovenia from 2013 to 2017. Aggregated data were obtained from the National Perinatal Information System (NPIS). The main outcome measure was the incidence of PE. The main exposure variable was total GWG standardized for the gestational duration by calculating the z-scores. The associations between total GWG and PE stratified by pre-pregnancy body mass index (BMI) categories adjusted for a variety of covariates were determined using multivariable logistic regression. We calculated the crude odds ratio (OR) and adjusted odds ratio (aOR) with a 95% confidence interval using a two-way test. Results Excessive GWG was associated with increased odds of PE in all pre-pregnancy BMI categories. The increase in the odds of PE by 445% was the highest in underweight women and by 122% was the lowest in obese women. Low GWG was associated with decreased odds of PE in all pre-pregnancy BMI categories except in normal-weight women with a GWG below -2 standard deviation (SD) and underweight women. The decrease in the odds of PE by 67% was the highest in obese women and by 41% was the lowest in normal-weight women. Conclusion Excessive GWG is a significant risk factor for PE, especially in underweight women, while low GWG is an important protective factor against PE, especially in obese women.

A mixed method study evaluating the integration of pregnancy weight gain charts into antenatal care.

Monitoring pregnancy weight can reduce excess gestational weight gain (GWG), and is recommended in clinical practice guidelines as part of routine care. This study aimed to evaluate the implementation of routine weight monitoring using a pregnancy weight gain chart (PWGC), and assess health care professionals (HCPs) and pregnant women's attitudes and practices around its use. A semiquantitative survey was conducted with a consecutive sample of antenatal women at 16 and 36 weeks gestation. Women were weighed, and a PWGC audit done at 36 weeks gestation to assess adherence to chart use and GWG. A cross-sectional survey of antenatal HCPs at the Australian facility assessed staff attitudes and practices relating to weight monitoring and PWGC use. Of the 291 women surveyed, 68% reported being given a PWGC. Of the audited PWGCs (n = 258), 54% had less than three weights recorded, 36% had errors, and 3% were unused. All HCPs surveyed (n = 42) were aware of the PWGC, 63% reported using it to track GWG regularly and 26% believed it to be only the woman's responsibility (i.e., not the midwife's role) to complete it. Seventy-six percent reported they needed more training in counselling pregnant women, and insufficient time was a main barrier to weighing and conversing with women. It is feasible to implement a PWGC into routine antenatal care. Clarity over women's and HCPs responsibility for monitoring GWG and completion of the PWGC is needed. Training on correct PWGC use and counselling and workforce engagement are required to overcome barriers and support healthy GWG.

Pregnancy weight gain by gestational age and stillbirth: a population-based cohort study.

OBJECTIVE: To study the association between total and early pregnancy (<22 completed weeks) weight gain and risk of stillbirth, stratified by early-pregnancy body mass index (BMI). DESIGN: Population-based cohort study. SETTING: Stockholm-Gotland Region, Sweden. POPULATION: Pregnant women with singleton births (n = 160 560). METHODS: Pregnancy weight gain was standardised into gestational age-specific z-scores. For analyses of total pregnancy weight gain, a matched design with an incidence density sampling approach was used. Findings were also contrasted with current Institute of Medicine (IOM) weight gain recommendations. MAIN OUTCOME MEASURES: Stillbirth defined as fetal death at ≥22 completed weeks of gestation. RESULTS: For all BMI categories, there was no statistical association between total or early pregnancy weight gain and stillbirth within the range of a weight gain z-score of -2.0 SD to +2.0 SD. Among normal-weight women, the adjusted odds ratio of stillbirth for lower (-2.0 to -1.0 SD) and higher (+1.0 to +1.9 SD) total weight gain was 0.85 (95% CI; 0.48-1.49) and 1.03 (0.60-1.77), respectively, as compared with the reference category. Further, there were no associations between total or early pregnancy weight gain and stillbirth within the range of weight gain currently recommended by the IOM. For the majority of the BMI categories, the point estimates at the extremes of weight gain values (<-2.0SD and ≥2.0 SD) suggested protective effects of low weight gain and increased risks of high weight gain, but estimates were imprecise and not statistically significant. CONCLUSION: We found no associations between total or early pregnancy weight gain and stillbirth across the range of weight gain experienced by most women. TWEETABLE ABSTRACT: There was no association between weight gain during pregnancy and stillbirth among most women.

Effect of Modifiable Risk Factors on Preterm Birth: A Population Based-Cohort.

Objectives The purpose of this study is to evaluate the prevalence, impact, and interaction of short interpregnancy interval (IPI), pre-pregnancy body mass index (BMI) category, and pregnancy weight gain (PWG) on the rate of preterm birth. Methods This is a population-based retrospective cohort study using vital statistics birth records from 2006 to 2011 in OH, US, analyzing singleton live births to multiparous mothers with recorded IPI (n = 393,441). Preterm birth rate at <37 weeks gestational age was compared between the referent pregnancy (defined as normal pre-pregnancy maternal BMI, IPI of 12-24 months, and Institute of Medicine (IOM) recommended PWG) and those with short or long IPI, abnormal BMI (underweight, overweight, and obese), and high or low PWG (under or exceeding IOM recommendations). Results Only 6 % of the women in this study had a referent pregnancy, with a preterm birth rate of 7.6 % for this group. Short IPIs of <6 and 6-12 months were associated with increased rates of preterm birth rate to 12.9 and 10.4 %, respectively. Low PWG compared to IOM recommendations for pre-pregnancy BMI class was also associated with increased preterm birth rate of 13.2 % for all BMI classes combined. However, the highest rate of preterm birth of 25.2 % occurred in underweight women with short IPI and inadequate weight gain with adjOR 3.44 (95 % CI 2.80, 4.23). The fraction of preterm births observed in this cohort that can be attributed to short IPIs is 5.9 %, long IPIs is 8.3 %, inadequate PWG is 7.5 %, and low pre-pregnancy BMI is 2.2 %. Conclusions Our analysis indicates that a significant proportion of preterm births in Ohio are associated with potentially modifiable risk factors. These data suggest public health initiatives focused on preterm birth prevention could include counseling and interventions to optimize preconception health and prenatal nutrition.

Higher pre-pregnancy body mass index is associated with excessive gestational weight gain in normal weight Chinese mothers with gestational diabetes.

AIM: To assess how pre-pregnancy body mass index (BMI) affects pregnancy outcome and total gestational weight gain (GWG) in a cohort of women with gestational diabetes (GDM). METHODS: Pregnant women at 24-28 gestational weeks diagnosed with GDM were classified as normal weight (pre-pregnancy BMI, 18.5-24.9 kg/m(2) ) or overweight (pre-pregnancy BMI, 25.0-29.9 kg/m(2) ). GWG was derived from the self-reported pre-pregnancy and pre-delivery weights, and analyzed using 2009 Institute of Medicine categories. RESULTS: A total of 106 GDM women were categorized as normal weight (n = 79) or overweight (n = 27). No statistically significant differences were found between the groups in terms of various obstetrical and neonatal outcomes. Higher pre-pregnancy BMI, however, was associated with excessive GWG during pregnancy (difference between groups, P = 0.013). Furthermore, pre-pregnancy BMI (OR, 0.529; 95%CI: 0.377-0.742; P = 0.000) and pre-pregnancy overweight (OR, 3.825; 95%CI: 1.469-9.959; P = 0.006) were independent factors of GWG. CONCLUSIONS: Among Chinese GDM women, overweight GDM mothers gain excessive weight during pregnancy. Regulation of pre-pregnancy bodyweight might be an appropriate precaution against excessive GWG.

The obese pregnancy.

Weight gain in pregnancy is physiological but if a woman is overweight prior to pregnancy, this will put both women and foetus at risk of adverse complications. Obesity can affect women at all the stages of pregnancy. Obese women can be a cause of reduced fertility as compared to a normal weight woman, and a typical example is of the Polycystic ovarian syndrome (PCOS). The incidence of Gestational Diabetes Mellitus ,hypertension and preeclamsia is 2-3 folds higher in obesity particularly with a BMI of> 30kg/m2. The chances of thromboembolism, miscarriage, Caesarian - section and stillbirth are increased as well. Perinatal mortality, increased chances of genetic disorders of the foetus and macrosomia are all increased with obesity. To avoid all these complications health education regarding healthy life style and diet with regular moderate intensity exercise is the cornerstone of the management.

Impact of body mass index and gestational weight gain on cesarean delivery rates: a comparative study of dinoprostone-induced vs spontaneous labor.

OBJECTIVES: This study investigates the relationship between pre-pregnancy body mass index (BMI), BMI before labor, and weight gain during pregnancy with the incidence of cesarean delivery (CD) in dinoprostone-induced labor versus spontaneous labor. MATERIAL AND METHODS: This retrospective analysis was carried out at the Jagiellonian University Hospital's Obstetrics and Perinatology Department, encompassing term singleton pregnancies from May 2019 to February 2021. BMI was categorized following WHO guidelines. Gestational weight gain was assessed against the Institute of Medicine's 2009 recommendations. RESULTS: Of the 366 cases reviewed, 183 were in the dinoprostone-induced labor group, and 183 were in the spontaneous labor group. The study identified a significant association between higher pre-pregnancy BMI and increased weight gain during pregnancy with elevated CD rates, especially in dinoprostone-induced labor compared to spontaneous labor. Specifically, the dinoprostone-induced labor group showed a 33.9% CD rate compared to 16.9% in the spontaneous labor group. Logistic regression analysis further established that for each 1 kg/m² increase in pre-pregnancy BMI, the odds of undergoing a CD increased by 10%. CONCLUSIONS: Elevated pre-pregnancy BMI and excessive gestational weight gain significantly heighten the risk of cesarean delivery, particularly in induced labor. The findings underline the need for individualized labor management strategies for women with higher BMI to optimize maternal and neonatal outcomes.

The effect of Internet-based nutrition education according to Pender's health promotion model on gestational weight gain: Study protocol for a randomized controlled clinical trial.

BACKGROUND: Gestational weight gain (GWG) should be managed appropriately because both inadequate and excessive weight gain have negative health consequences for mother and child. Therefore, we report the study design for investigating the effect of nutrition education based on Pender's health promotion model (HPM) through the smartphone app on GWG. MATERIALS AND METHODS: This randomized controlled trial (RCT) will be performed on the Internet for intervention by uploading text messages, audio, images, and portable document format (PDF) files via a group in one of the virtual messenger networks with the title "Nutrition education research plan." After random allocation, both control and intervention groups will receive the routine prenatal care including dietary recommendations. The data will be collected using a multipart researcher-made questionnaire containing 33 questions including demographic information and Pender's construct parts. The evaluation is performed with pretest, posttest, and measurement of the obtained weight. Paired and independent samples t-tests and analysis of variance (ANOVA) with repeated measurements will be applied to compare mean scores of constructs of Pender's HPM and gained weights. RESULTS: The results of this study will clarify whether the present intervention will be effective on the total gestational weight gain and the weight gained in different weeks of pregnancy compared to the control group. CONCLUSION: The obtained findings of this study might be useful for managing GWG and consequently maternal and neonatal outcomes.

Examining Enhanced Implementation of Routine Antenatal Care Practices to Support Healthy Pregnancy Weight Gain.

INTRODUCTION: Current antenatal guidelines advocate for regular weighing of women during their pregnancy, with supportive conversations to assist healthy gestational weight gain (GWG). To facilitate overcoming weight monitoring barriers, a pregnancy weight gain chart (PWGC), coupled with brief intervention advice, was implemented in 2016 to guide provider and woman-led routine weight monitoring. This study aimed to examine the extent to which the use of PWGCs and routine advice provision were normalized into routine antenatal care following enhanced implementation strategies and whether this led to a change in GWG. METHODS: This pre-post study included data from 2010 (preimplementation), 2016, and 2019 (postimplementation). A retrospective audit of health records and PWGCs was undertaken to assess adherence to chart use and evaluate GWG outcomes. A survey was sent to women in 2010 and repeated in 2019 to understand the advice women received from health care professionals. RESULTS: Compared with the preimplementation cohort (2010), more women achieved a healthy GWG in 2019 (42% vs 31%, P = .04). In 2019, having 3 or more weights recorded was associated with a reduction in excess GWG (P = .028). More women reported receiving helpful advice about healthy GWG in 2019 compared with 2010, although minimal changes to advice received about nutrition and physical activity were observed. DISCUSSION: Enhanced implementation strategies and ongoing efforts to optimize supportive antenatal care practices are required to effect positive change in GWG. Further evaluation of the perspectives of pregnant women and counseling practices of health professionals is needed.