Pregnancy Weight Gain Research Articles

Pairing Evidence-Based Strategies With Motivational Interviewing to Support Optimal Nutrition and Weight Gain in Pregnancy.

Pairing Evidence-Based Strategies With Motivational Interviewing to Support Optimal Nutrition and Weight Gain in Pregnancy.

Navigating the impacts of excessive weight gain in pregnancy on obstetric outcomes: An in-depth evaluation

Navigating the impacts of excessive weight gain in pregnancy on obstetric outcomes: An in-depth evaluation

Post-partum weight retention in Northeastern Brazilian women: a prospective NISAMI cohort study.

Weight retention during the post-partum period is associated with excessive weight gain. To investigate factors associated with maternal weight retention at six months post-partum (PPWR). A prospective cohort study was conducted with 127 women monitored using prenatal services. The outcome variable was represented by post-partum maternal weight retention and calculated as the difference between the mother's weight at sixth month post-partum and her pregestational weight. The mean age of the pregnant women was 26.7 ± 5.25 years old, and the post-partum maternal weight retention was 46.5%. The proximal determinants showed a direct association with PPWR after adjusting for the distal and intermediate variables: excessive gestational weight gain (odds ratio [OR]:3.34; confidence interval [CI]:1.16-9.59), greater adhesion to dietary intake pattern 2 (composed of red meats and derivatives, eggs, industrialized foods, and coffee) (OR:2.70; CI:1.16-6.32), and the absence of exclusive maternal breastfeeding in the first month (OR:3.40; CI:1.27-9.12), as well as primiparity (OR:2.36; CI:1.00-5.55), an intermediate determinant. Insufficient weight gain in pregnancy was inversely associated with the outcome (OR:0.35; CI:0.31-0.93). Among the hierarchical determinants, proximal factors were interrelated with maternal weight retention, indicating that excessive total weight gain, an inadequate dietary intake pattern, and the absence of exclusive maternal breastfeeding in the first month of life work as dampeners of the return to pre-gestational weight. Prepartum and post-partum care interventions can contribute to reducing excess weight in women.

Examining maternal influences on low birth weight of baby: a study in Washim district

Background: This research investigated low birth weight (LBW) in Washim district, Maharashtra, India, recognizing its profound impact on infant health. With a prevalence of 13.3%, lower than state and national averages, the study focuses on maternal factors such as anemia, premature deliveries, and inadequate weight gain during pregnancy as contributors to LBW. Methods: A cross-sectional study involving LBW infants and mothers was conducted in Washim district. The census approach (universal sampling) was employed in this study, encompassing the entire population of low birth weight babies born across all blocks in the Washim district and could be tracked by healthcare workers. This involved every eligible individual, eliminating the need for traditional sampling techniques. Data were collected from 6 Blocks, 153 Health sub-centers, and 25 primary health centers between April 1, 2022, and March 31, 2023, using a standardized questionnaire administered by healthcare workers. The study included 876 babies and mothers. Results: Washim district reported a 13.3% LBW rate, lower than the state (20.1%) and national (17.8%) averages. High LBW incidence was noted among mothers with anemia (91.4%), premature deliveries (78.18%), and inadequate weight gain during pregnancy (average gain: 7.9 kg). Conclusions: The study identified anemia during pregnancy, premature deliveries, and inadequate weight gain as primary contributors to LBW in the district.

Do current pregnancy weight gain guidelines balance risks of adverse maternal and child health in a United States cohort?

BackgroundThe Institute of Medicine pregnancy weight gain guidelines were developed without evidence linking high weight gain to maternal cardiometabolic disease and child obesity. The upper limit of current recommendations may be too high for the health of the pregnant individual and child. ObjectivesThe aim of this study was to identify the range of pregnancy weight gain for pregnancies within a normal body mass index (BMI) range that balances the risks of high and low weight gain by simultaneously considering 10 different health conditions. MethodsWe used data from an United States prospective cohort study of nulliparae followed until 2 to 7 y postpartum (N = 2344 participants with a normal BMI). Pregnancy weight gain z-score was the main exposure. The outcome was a composite consisting of the occurrence of ≥1 of 10 adverse health conditions that were weighted for their seriousness. We used multivariable Poisson regression to relate weight gain z-scores with the weighted composite outcome. ResultsThe lowest risk of the composite outcome was at a pregnancy weight gain z-score of −0.6 SD (standard deviation) (equivalent to 13.1 kg at 40 wk). The weight gain ranges associated with no more than 5%, 10%, and 20% increase in risks were −1.0 to −0.2 SD (11.2–15.3 kg), −1.4 to 0 SD (9.4–16.4 kg), and −2.0 to 0.4 SD (7.0–18.9 kg). When we used a lower threshold to define postpartum weight increase in the composite outcome (>5 kg compared with >10 kg), the ranges were 1.6 to −0.7 SD (8.9–12.6 kg), −2.2 to −0.3 SD (6.3–14.7 kg), and ≤0.2 SD (≤17.6 kg). Compared with the ranges of the current weight gain guidelines (−0.9 to −0.1 SD, 11.5–16 kg), the lower limits from our data tended to be lower while upper limits were similar or lower. ConclusionsIf replicated, our results suggest that policy makers should revisit the recommended pregnancy weight gain range for individuals within a normal BMI range.

Body mass index and weight gain in pregnancy and cardiovascular health in middle age: A cohort study.

To examine associations between body mass index (BMI) in early pregnancy and gestational weight gain (GWG) with cardiovascular health in middle age using the 'Life's Essential 8' (LE8) concept of the American Heart Association (AHA). Population-based cohort study. Swedish CardioPulmonary bioImage Study (SCAPIS). A total of 8871 women from SCAPIS were included. Information on cardiovascular health in middle age was collected from SCAPIS and linked to pregnancy weight data obtained from the Swedish Medical Birth Register, with an average follow-up time of 24.5 years. An LE8 score between 0 and 100 was determined, where a score under 60 points was defined as poor cardiovascular health. Binary logistic regression and restricted cubic splines were used. Cardiovascular health according to LE8 in middle age. The odds of having poor cardiovascular health in middle age were significantly higher in women who had overweight (adjusted odds ratio, aOR 3.30, 95% CI 2.82-3.88) or obesity (aOR 7.63, 95% CI 5.86-9.94), compared with women classified as being of normal weight in pregnancy. Higher odds were also found for excessive GWG (aOR 1.31, 95% CI 1.09-1.57), compared with women who gained weight within the recommendations. A high BMI in early pregnancy and excessive GWG were associated with greater odds of poor cardiovascular health in middle age. Although further studies are needed, our results highlight pregnancy as an important period to support long-term cardiovascular health.

Risk factors and clinical correlates of sensory dysfunction in preschool children with and without autism spectrum disorder.

Sensory dysfunction is a common feature of autism spectrum disorder (ASD). The objectives of this analysis were to examine risk factors and clinical correlates of sensory dysfunction in preschool children with and without ASD. Children aged 2-5 years were enrolled in a multi-site case-control study. Data were collected in eight areas across the United States in three phases. Caregivers completed an interview with questions on assisted delivery, maternal alcohol use, maternal anxiety during pregnancy, pregnancy weight gain, neonatal jaundice, preterm birth, and child sensory diagnosis given by a healthcare provider. Caregivers also completed an interview and questionnaires on sensory symptoms and clinical correlates of sensory dysfunction in their child. There were 2059 children classified as ASD, 3139 as other developmental delay or disability (DD), and 3249 as population comparison (POP). Caregivers reported significantly more sensory diagnoses and sensory symptoms in children classified as ASD than DD or POP (23.7%, 8.6%, and 0.8%, respectively, for a sensory diagnosis and up to 78.7% [ASD] vs. 49.6% [DD] for sensory symptoms). Maternal anxiety during pregnancy and neonatal jaundice were significantly associated with a sensory diagnosis and certain sensory symptoms in children with ASD and DD. Children's anxiety, attention deficits/hyperactivity, and sleep problems were significantly albeit subtly correlated with both a sensory diagnosis and sensory symptoms in children with ASD and DD. These findings support sensory dysfunction as a distinguishing symptom of ASD in preschool children and identify risk factors and clinical correlates to inform screening and treatment efforts in those with atypical development.

Effect of pre-pregnancy body mass index and gestational weight gain on fetal outcome

Fetaldevelopment and growth in uterus is most critical. Most commonly used indicator is birth weight for determining well-being of infant. Body mass index (BMI) of mother before pregnancy, pregnancy weight gain, and other factors related to behavior, socio-cultural as well as genetics influence the birth weight. To study effect of pre-pregnancy BMI and gestational weight gain on fetal outcomeHospital-based follow-up study was carried out among 189 antenatal women. Gestational age, weight, height, BMI and fetal growth were recorded. Regular sonography was carried out to rule out fetal congenital abnormalities and fetal well-being. Daily fetal movement count, fetal heart rate monitoring was carried out daily. Estimation of the “total pregnancy weight gain” was done by subtracting last measured weight before delivery from weight recorded at first visit in first trimester. Birth weight of the neonate was recorded within 24 hours of delivery. BMI before pregnanacy was normal in Majority (75.1%). Underweight women earlier to conception had either normal Gestational weight gain (GWG) or less than normal GWG. Their babies also had significantly low average birth weight compared to either normal weight females or overweight and obese before conception. Overweight and obese females before conception had higher incidence of gestational diabetes (GDM) and cesarean section. Normal weight females before conception had higher incidence of Pregnancy induced hypertension.Being underweight before conception is a risk factor for low birth weight babies whereas being overweight and obese before pregnancy is a risk factor for GDM.

Adverse perinatal events and maternal interpregnancy weight change: A population-based observational study.

Mothers whose newborn experiences adversity may neglect their own health to care for their affected infant or following a perinatal death. Weight gain after pregnancy is one measure of maternal self-care. We measured interpregnancy weight gain among women whose child had an adverse perinatal event. This population-based observational study included 192 154 primigravid women with two consecutive singleton births in Ontario, Canada. Outcomes included net weight gain, and adjusted odds ratios (aOR) of moving to a higher body mass index (BMI) category between pregnancies, comparing women whose child did versus did not experience either a perinatal death, prematurity, severe neonatal morbidity, major congenital anomaly, or severe neurologic impairment. Perinatal death was associated with a +3.5 kg (95% confidence interval [CI]: 2.1-4.9) net higher maternal weight gain in the subsequent pregnancy. Relative to term births, preterm birth <32 weeks (+3.2 kg, 95% CI: 1.9-4.6), 32-33 weeks (+1.8 kg, 95% CI: 0.7-2.8) and 34-36 weeks (+0.9 kg, 95% CI: 0.6-1.3) were associated with higher net weight gain. Having an infant with severe neonatal morbidity was associated with a +1.2 kg (95% CI: 0.3-2.1) weight gain. Likewise, the aOR of moving to a higher BMI category was 1.27 (95% CI, 1.14-1.42) following a perinatal death, 1.21 (95% CI: 1.04-1.41) after a preterm birth <32 weeks, and 1.11 (95% CI: 1.02-1.22) with severe neonatal morbidity. Greater interpregnancy weight gain, and movement to a higher BMI category, are each more likely in a woman whose first-born was affected by certain major adverse perinatal events.

Impact of Antenatal Care Modifications on Gestational Diabetes Outcomes During the COVID-19 Pandemic

BackgroundMany of the adverse outcomes of gestational diabetes mellitus (GDM) are linked to excessive fetal growth, which is strongly mediated by the adequacy of maternal glycemic management. The COVID-19 pandemic led to a rapid adoption of virtual care models. We aimed to compare glycemic management, fetal growth, and perinatal outcomes before and during the COVID-19 pandemic. MethodsA retrospective cohort study was conducted between 2017 and 2020. Singleton pregnancies complicated by GDM were included in the study. The cohort was stratified into “before” and “during” COVID-19 subgroups, using March 11, 2020, as the demarcation time point. Women who began their GDM follow-up starting March 11, 2020, and thereafter were allocated to the COVID-19 era, whereas women who delivered before the demarcation point served as the pre–COVID-19 era. The primary outcome was the rate of large-for-gestational-age (LGA) neonates. Secondary outcomes included select maternal and neonatal adverse outcomes. ResultsSeven hundred seventy-five women were included in the analysis, of which 187 (24.13%) were followed during the COVID-19 era and 588 (75.87%) before the COVID-19 era. One hundred seventy-one of the 187 women (91.44%) followed during COVID-19 had at least 1 virtual follow-up visit. No virtual follow-up visits occurred before the COVID-19 era. There was no difference in the rate of LGA neonates between groups on both univariate (5.90% vs 7.30%, p=0.5) and multivariate analyses, controlling for age, ethnicity, parity, body mass index, gestational weight gain, chronic hypertension, smoking, and hypertensive disorders in pregnancy (adjusted odds ratio [aOR] 1.11, 95% confidence interval [CI] 0.49 to 2.51, p=0.80). In the multivariate analysis, there was no difference in composite neonatal outcome between groups (GDM diet: aOR 1.40, 95% CI 0.81 to 2.43, p=0.23; GDM medical treatment: aOR 1.20, 95% CI 0.63 to 2.43, p=0.5). ConclusionsAfter adjusting for differences in baseline variables, the combined virtual mode of care was not associated with a higher rate of LGA neonates or other adverse perinatal outcomes in women with GDM. Larger studies are needed to better understand the specific impact of virtual care on less common outcomes in pregnancies with GDM.

Pregnancy Weight Gain After Gastric Bypass or Sleeve Gastrectomy

Pregnancy weight gain may affect the association of bariatric surgery with postsurgery pregnancy outcomes. However, the association of pregnancy weight gain with bariatric surgery is unclear. To compare pregnancy weight gain among women with a history of bariatric surgery vs those without and to investigate whether pregnancy weight gain differs by surgical procedure, surgery-to-conception interval, and/or surgery-to-conception weight loss. This nationwide, population-based matched cohort study was conducted in Sweden from 2014 to 2021. Singleton pregnancies with a history of bariatric surgery were propensity score matched (1:1) to pregnancies without such a history according to early-pregnancy body mass index (BMI), prepregnancy diabetes, prepregnancy hypertension, maternal age, smoking status, education level, height, country of birth, and delivery year. In addition, post-gastric bypass pregnancies were matched to post-sleeve gastrectomy pregnancies using the same matching strategy. Data analysis was performed from November 2022 to May 2023. History of bariatric surgery. Pregnancy weight gain was standardized by gestational age into early-pregnancy BMI-specific z scores. This study included 12 776 pregnancies, of which 6388 had a history of bariatric surgery and 6388 were matched controls. The mean (SD) age was 31.6 (4.9) years for the surgery group and 31.4 (5.2) for the matched controls, with an early-pregnancy mean (SD) BMI of 29.4 (5.2) in both groups. Across all early-pregnancy BMI strata, women with a history of bariatric surgery had lower pregnancy weight gain than matched controls. The differences in pregnancy weight gain z score values between the 2 groups were -0.33 (95% CI, -0.43 to -0.23) for normal weight, -0.33 (95% CI, -0.40 to -0.27) for overweight, -0.21 (95% CI, -0.29 to -0.13) for obese class I, -0.16 (95% CI, -0.29 to -0.03) for obese class II, and -0.08 (95% CI, -0.28 to 0.13) for obese class III. Pregnancy weight gain did not differ by surgical procedure. A shorter surgery-to-conception interval (particularly within 1 year) or lower surgery-to-conception weight loss was associated with lower pregnancy weight gain. In this nationwide matched cohort study, women with a history of bariatric surgery had lower pregnancy weight gain than matched controls with similar early-pregnancy characteristics. Pregnancy weight gain was lower in those with a shorter surgery-to-conception interval or lower surgery-to-conception weight loss, but did not differ by surgical procedure.

Association Between Body Image Before and During Pregnancy and Gestational Weight Gain in Japanese Women: A Prospective Cohort Study.

More than half of women do not achieve appropriate gestational weight gain. Maternal body image may be an important factor associated with gestational weight gain. However, this association has not been thoroughly evaluated. We aimed to elucidate whether body image parameters before and during pregnancy are associated with gestational weight gain in Japanese women. This prospective cohort study was conducted at a hospital in Osaka, Japan from March 2020 to March 2021. We recruited women with singleton pregnancies in their second and third trimesters. Body image was assessed using the Pregnancy and Weight Gain Attitude Scale and additional questions. Gestational weight gain was classified as insufficient, appropriate, or excessive based on recommended ranges in Japan. One-way analysis of variance, chi-square tests, and multinomial logistic regression analyses were performed to identify factors associated with insufficient or excessive weight gain. Of 266 enrolled women, 47 had insufficient weight gain and 100 had excessive weight gain during pregnancy. Risk factors for excessive gestational weight gain included a history of dietary restriction before pregnancy, negative attitudes toward gestational weight gain, and perception of body shape as fat and body shape dissatisfaction during pregnancy. Perception of body shape as thin during pregnancy was identified as a risk factor for insufficient gestational weight gain. Body image before and during pregnancy may be an important factor in preventing insufficient or excessive gestational weight gain in Japanese women. Healthcare professionals should consider body image when providing health guidance on weight management to pregnant women.

Hypertensive disorders of pregnancy in Western Brazilian Amazon: Associated factors and neonatal outcomes.

Hypertensive disorders of pregnancy (HDP) are responsible for several maternal and fetal complications. This study investigated the occurrence of HDP, associated factors, and neonatal complications in women living in the Western Brazilian Amazon. This is a population-based cross-sectional study with 1521 mother-child pairs enrolled in the Maternal and Child Health and Nutrition in Acre birth cohort (MINA-Brazil study). All parturients with HDP (registered in the medical records) were identified. Crude and adjusted prevalence ratios were calculated in Poisson regression models with robust variance. The prevalence of HDP was 11.0% (95% CI: 9.5-12.7). Factors associated with the prevalence of HDP were maternal age ≥ 35 years (PR: 1.9; 95% CI: 1.3-3.0), primigravida status (PR: 2.0; 95% CI: 1.5-2.7), pre-pregnancy obesity (PR: 2.7; 95% CI: 1.9-4.0), higher gestational weight gain (highest quartile RP: 2.5; 95% CI: 1.6-3.8), chronic hypertension (RP: 3.6; 95% CI: 2.7-4.9), and diabetes in pregnancy (RP: 1.9; 95% CI: 1.1-3.2). HDP was associated with risk for caesarean delivery (PR: 1.8; 95% CI: 1.6-2.0) and prematurity (PR: 2.0; 95% CI: 1.3-3.2). Gestational malaria was not associated with HDP in Amazonian pregnant women. Evaluating risk factors before pregnancy and during the prenatal period is essential for reducing adverse maternal and neonatal outcomes.

Gestational weight gain of multiparas and risk of primary preeclampsia: a retrospective cohort study in Shanghai

BackgroundIn all studies conducted so far, there was no report about the correlation between excessive gestational weight gain (GWG) and the risk of preeclampsia (PE) in multiparas, especially considering that multiparity is a protective factor for both excessive GWG and PE. Thus, the aim of this retrospective cohort study was to determine whether GWG of multiparas is associated with the increased risk of PE.MethodsThis was a study with 15,541 multiparous women who delivered in a maternity hospital in Shanghai from 2017 to 2021, stratified by early-pregnancy body mass index (BMI) category. Early-pregnancy body weight, height, week-specific and total gestational weight gain as well as records of antenatal care were extracted using electronic medical records, and antenatal weight gain measurements were standardized into gestational age-specific z scores.ResultsAmong these 15,541 multiparous women, 534 (3.44%) developed preeclampsia. The odds of preeclampsia increased by 26% with every 1 z score increase in pregnancy weight gain among normal weight women and by 41% among overweight or obese women. For normal weight women, pregnant women with preeclampsia gained more weight than pregnant women without preeclampsia beginning at 25 weeks of gestation, while accelerated weight gain was more obvious in overweight or obese women after 25 weeks of gestation.ConclusionsIn conclusion, excessive GWG in normal weight and overweight or obese multiparas was strongly associated with the increased risk of preeclampsia. In parallel, the appropriate management and control of weight gain, especially in the second and third trimesters, may lower the risk of developing preeclampsia.Graphical

Clustering of smoking, alcohol consumption and weight gain in pregnancy: prevalence, care preferences and associated factors

BackgroundSmoking, alcohol consumption and weight gain outside recommendations during pregnancy are preventable health risk factors associated with poorer health outcomes for mother and infant. Clustering of these risk factors further increases the risk and severity of outcomes. Limited research has explored the characteristics of pregnant women that are associated with clustering of these risks and women’s preferences for receiving support. This paper aimed to determine: (i) the prevalence of clustered preventable risk factors; (ii) associations between maternal characteristics and presence of clustered risk factors; and (iii) women’s preferences for receiving care for clustered risk factors.MethodsA cross-sectional survey was undertaken with women who had recently given birth in public maternity services in New South Wales, Australia. Descriptive statistics were used to assess prevalence of clustered risk factors and care preferences. Associations between the presence of clustered risk factors and maternal characteristics were assessed using multiple regression analyses.ResultsOf the 514 women who completed the survey, 52% reported one preventable health risk factor and 10% and 2% reported two or three. For women with two or more risk factors, the most common combination was alcohol consumption and gestational weight gain outside of recommendations (50%, n = 30). One characteristic had an association with the presence of clustered risk factors. Most women (77%, n = 46) with clustered risk factors indicated they wanted support for these health risks. Preferences for support addressing some or all risk factors, and whether the support was sequential or simultaneous, were not associated with particular risk factor combinations.ConclusionsAround one in eight women reported clustered preventable risk factors during pregnancy, most of whom would like support to address these risks. There was only one association between maternal characteristics and clustered risk factors. This suggests a need for antenatal care that is women-centred and caters for a diverse profile of clustered risks and varied preferences for care.

The Relationship between Gestational Weight Gain and Cesarean Delivery among Patients undergoing Induction of Labor.

This study aimed to determine the impact of pregnancy weight gain above National Academy of Medicine (NAM) guidelines on cesarean delivery rates following induction. This is a secondary analysis of a prospective cohort study of patients who underwent induction at a single tertiary care center between July 2017 and July 2019. Included in the primary study were patients undergoing term (≥37 weeks) labor induction with a singleton gestation, intact membranes, and unfavorable cervical examination (Bishop score of ≤6 and cervical dilation ≤ 2 cm). Eligibility for this analysis was limited to patients with a documented prenatal body mass index (BMI) < 20 weeks' gestation. The primary exposure was gestational weight gain greater than NAM guidelines (WGGG) for a patient's initial BMI category. The primary outcome was cesarean delivery for any indication. Of 1,610 patients included in the original cohort, 1,174 (72.9%) met inclusion criteria for this analysis and 517 (44.0%) of these had weight gain above NAM guidelines. Of the entire cohort, 60.0% were Black and 52.7% had private insurance. In total, 160 patients (31%) with WGGG underwent cesarean compared with 127 patients (19.3%) without WGGG (p < 0.001), which equates to a 59% increased odds of cesarean when controlling for initial BMI category, parity, gestational diabetes, and indication for induction (Adjusted Odds Ratio [aOR] 1.58, 95% confidence interval [CI] 1.17-2.12). Among only nulliparous patients, WGGG was associated with an increased odds of cesarean (26.4 vs. 38.2%, aOR 1.50, 95% CI 1.07-2.10). In multiparous patients, however, there was no difference in cesarean between those with and without WGGG (8.8 vs. 14.1%, aOR 1.85, 95% CI 0.96-3.58). This study demonstrates that weight gain above NAM guidelines is associated with more than a 50% increased odds of cesarean. Patients should be informed of this association as gestational weight gain may be a modifiable risk factor for cesarean delivery. · Weight gain above NAM guidelines was associated with a 59% increased odds of cesarean delivery.. · Nulliparous patients with weight gain above NAM guidelines are at higher risk of cesarean delivery.. · No difference in cesarean delivery among multiparous patients regardless of gestational weight gain..

Age-Specific Quantification of Overweight/Obesity Risk Factors From Infancy to Adolescence and Differences by Educational Level of Parents.

Objectives: To explore the age-dependent associations between 26 risk factors and BMI in early life, and differences by parental educational level. Methods: Data of 10,310 children (24,155 measurements) aged 2-16years participating in a multi-centre European cohort from 2007 to 2014 were utilized. Trajectories of overweight/obesity risk factors and their age-specific associations with BMI were estimated using polynomial mixed-effects models. Results: Exposure to most unfavourable factors was higher in the low/medium compared to the high education group, e.g., for PC/TV time (12.6 vs. 10.6h/week). Trajectories of various risk factors markedly changed at an age of 9-11years. Having a family history of obesity, maternal BMI, pregnancy weight gain and birth weight were positively associated with BMI trajectories throughout childhood/adolescence in both education groups; associations of behavioural factors with BMI were small. Parental unemployment and migrant background were positively associated with BMI in the low/medium education group. Conclusion: Associations of risk factors with BMI trajectories did not essentially differ by parental education except for social vulnerabilities. The age period of 9-11years may be a sensitive period for adopting unfavourable behaviours.

Maternal Body Mass Index Trends and Weight Gain in Singleton Pregnancies at the Time of Fetal Anatomic Survey: Changes in the Last Decade and New Trends in the Modern Era.

(1) Background: the worldwide impact of overweight and obesity is rising, increasingly resembling an epidemic (a price we have to pay for our new way of living). (2) Methods: our study aims to evaluate the temporal trends and patterns of singleton pregnant women's BMI (body mass index) in our region during a 12-year time frame between 2010 and 2021. (3) Results: We noticed a statistically significant difference between the BMIs of nulliparous and multiparous women and a significantly increased pregestational BMI in women with previous ART (assisted reproductive technology) procedures. Smoking pregnant women had a higher second trimester weight gain, regardless of parity. Women with folic acid supplementation alone had a higher BMI than those with folic acid and multivitamin intake. The weight of both nulliparous and multiparous women with chronic hypertension was statistically significantly higher in all three timeframes. Global weight gain did not reveal any statistically significant changes concerning women with pregestational diabetes, regardless of parity and the pregnancy trimester. (4) Conclusions: our article describes the trends in obesity and overweight in our middle-income country, in which this pathology is continuously growing, negatively influencing our reproductive-aged women and future generations.

Gestational weight change in a diverse pregnancy cohort and mortality over 50 years: a prospective observational cohort study

High weight gain in pregnancy is associated with greater postpartum weight retention, yet long-term implications remain unknown. We aimed to assess whether gestational weight change was associated with mortality more than 50 years later. The Collaborative Perinatal Project (CPP) was a prospective US pregnancy cohort (1959-65). The CPP Mortality Linkage Study linked CPP participants to the National Death Index and Social Security Death Master File for vital status to 2016. Adjusted hazard ratios (HRs) with 95% CIs estimated associations between gestational weight gain and loss according to the 2009 National Academy of Medicine recommendations and mortality by pre-pregnancy BMI. The primary endpoint was all-cause mortality. Secondary endpoints included cardiovascular and diabetes underlying causes of mortality. Among 46 042 participants, 20 839 (45·3%) self-identified as Black and 21 287 (46·2%) as White. Median follow-up time was 52 years (IQR 45-54) and 17 901 (38·9%) participants died. For those who were underweight before pregnancy (BMI <18·5 kg/m2; 3809 [9·4%] of 40 689 before imputation for missing data]), weight change above recommendations was associated with increased cardiovascular mortality (HR 1·84 [95% CI 1·08-3·12]) but not all-cause mortality (1·14 [0·86-1·51]) or diabetes-related mortality (0·90 [0·13-6·35]). For those with a normal pre-pregnancy weight (BMI 18·5-24·9 kg/m2; 27 921 [68·6%]), weight change above recommendations was associated with increased all-cause (HR 1·09 [1·01-1·18]) and cardiovascular (1·20 [1·04-1·37]) mortality, but not diabetes-related mortality (0·95 [0·61-1·47]). For those who were overweight pre-pregnancy (BMI 25·0-29·9 kg/m2; 6251 [15·4%]), weight change above recommendations was associated with elevated all-cause (1·12 [1·01-1·24]) and diabetes-related (1·77 [1·23-2·54]) mortality, but not cardiovascular (1·12 [0·94-1·33]) mortality. For those with pre-pregnancy obesity (≥30·0 kg/m2; 2708 [6·7%]), all associations between gestational weight change and mortality had wide CIs and no meaningful relationships could be drawn. Weight change below recommended levels was associated only with a reduced diabetes-related mortality (0·62 [0·48-0·79]) in people with normal pre-pregnancy weight. This study's novel findings support the importance of achieving healthy gestational weight gain within recommendations, adding that the implications might extend beyond the pregnancy window to long-term health, including cardiovascular and diabetes-related mortality. National Institutes of Health.

Association between shift work in early pregnancy, snacking, and inappropriate weight gain during pregnancy: The Japan Environment and Children's Study.

This study aimed to investigate the relationship between night shifts and snacking behaviors during pregnancy using Japanese maternal-infant longitudinal data from a large-scale study. This study used the Japan Environment and Children's Study dataset jecs-ta-20190930, released in October 2019. After simple analysis using analysis of variance and multiple comparisons, crude odds ratios (cOR) and adjusted odds ratios (aORs) were calculated. To evaluate eating habits, we examined habitual fast food and snacks (e.g., potato chips, corn puffs and tortilla chips) consumption, midnight snacks, and regular missing breakfast. There was no significant association between inappropriate weight gain during pregnancy and night shift work in early pregnancy. The aOR for consuming snacks more than once a week after noticing pregnancy for shift workers was 1.34 (95% confidence interval 1.27-1.41; p < 0.001) compared with worker without night shiftwork. The aOR for shift workers consuming fast food more than three times a week during pregnancy was 1.40 (95% confidence interval 0.79-2.33; p > 0.05). Pregnant night shift workers did not show excessive weight gain but had an increased frequency of consumption of snack foods compared with pregnant dayshift workers.