Pre-pregnancy and pregnancy-related factors and the risk of excessive or inadequate gestational weight gain

The Association between Psychosocial Stressors and Gestational Weight Gain: Analysis of the National Pregnancy Risk Assessment Monitoring System (PRAMS) Results from 2012 to 2015

OBJECTIVE

Both psychosocial stress and gestational weight gain are independently associated with adverse maternal and fetal outcomes. Studies of the association between psychosocial stress and gestational weight gain (GWG) have yielded mixed results. The objective of this study was to evaluate the association between psychosocial stress and GWG in a large population-based cohort.

METHODS

Data from the nationally representative Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 7 questionnaire 2012-2015 was utilized. Maternal psychosocial stress was assessed through response to questions designed to examine four domains of psychosocial stress (i.e., traumatic, financial, emotional, partner-related) three months prior to or during pregnancy. GWG was categorized using pre-pregnancy BMI and total GWG into inadequate, adequate, or excessive according to the Institute of Medicine's GWG guidelines. Multinomial logistic regression was used to evaluate the association between psychosocial stressors and adequacy of GWG. Analyses took into account complex survey design.

RESULTS

All respondents who delivered ≥ 37 weeks gestation with GWG information available were included in the analysis (n = 119,183). After adjusting for confounders, patients who reported financial stress were more likely to experience excessive versus adequate GWG (RRR 1.09 [95%CI: 1.02-1.17]). Exposure to any of the stressor groups did not significantly increase the risk of inadequate GWG.

CONCLUSIONS

This large, population-based study revealed that among pregnant people in the US, exposure to financial stress is associated with higher risk of excessive GWG. Understanding the role stress plays in GWG will help to inform initiatives targeting this important aspect of prenatal care.

Maternal Body Mass Index and Recommended Gestational Weight Gain in a Middle Eastern Setting

OBJECTIVE

Maternal body mass index (BMI) and gestational weight gain (GWG) are modifiable risk factors that influence pregnancy outcomes. We examined the association between the two factors in pregnant women in Qatar with regard to the GWG recommendations by the Institute of Medicine (IOM) in 2009.

METHODS

We performed a population-based retrospective cohort analysis of 3547 singleton births, using routinely collected data from a Middle Eastern hospital database.

RESULTS

The mean maternal age was 29.7 ± 5.5 years, prepregnancy BMI was 27.5 ± 5.8 kg/m2, GWG was 9.58 kg ± 6.87 kg and gestational age at birth was 38.5 ± 1.9 weeks. In line with IOM recommendations, we found that higher BMI was correlated with decreased GWG and BMI was significantly associated with GWG even after adjusting for maternal age, parity, and infants' gestational age at birth. Nonetheless, GWG in more than one-third of women who were overweight or obese exceeded the IOM recommendation.

Poor Sleep Quality Increases Gestational Weight Gain Rate in Pregnant People: Findings from the MADRES Study

Background

Poor sleep quality is associated with weight gain in non-pregnant populations, but evidence in pregnant people is lacking. Our study examined the association between early-to-mid pregnancy sleep quality and weekly gestational weight gain (GWG) rate during mid-to-late pregnancy by pre-pregnancy body mass index (BMI).

Method

Participants were 316 pregnant participants from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study. During early-to-mid pregnancy, participants reported their sleep quality which was used to construct four categories: very poor, poor, good, and very good. Linear growth curve models examined the association between early-to-mid pregnancy sleep quality and weekly rate of GWG (kg/week) during mid-to-late pregnancy (> 20 weeks gestation), with a three-way cross-level interaction between gestational age, sleep quality, and pre-pregnancy BMI category. Models adjusted for ethnicity by birthplace, hypertensive disorders, perceived stress score, and physical activity level.

Results

Overall, poorer early-to-mid pregnancy sleep quality was associated with increased weekly weight gain during mid-to-late pregnancy. For example, amongst normal weight participants, mid-to-late pregnancy weight gain was, on average, 0.39 kg (95% CI: 0.29, 0.48) per week for those with very good sleep quality, 0.53 kg (95% CI: 0.44, 0.61) per week for those with poor sleep quality, and 0.54 kg (95% CI: 0.46, 0.62) per week for those with very poor sleep quality during early-to-mid pregnancy. This difference in GWG rate was statistically significantly comparing very good to poor sleep (0.14 kg/week, 95% CI: 0.01, 0.26) and very good to very poor sleep (0.15kg/week, 85% CI: 0.02, 0.27). This association between sleep quality and GWG rate did not statistically differ by pre-pregnancy BMI.

Conclusion

Our study found very poor early-to-mid pregnancy sleep quality was associated with higher mid-to-late pregnancy GWG rate. Incorporating pregnancy-specific sleep recommendations into routine obstetric care may be a critical next step in promoting healthy GWG.

Loss of control eating during pregnancy is associated with excessive gestational weight gain among individuals with overweight and obesity

BACKGROUND

Excessive gestational weight gain (GWG) predicts negative health outcomes among individuals with overweight or obesity. Loss of control eating (LOC), the ingestion of food associated with being unable to control eating, is the core psychopathology of binge eating disorders. We evaluated the contribution of LOC to GWG among pregnant individuals with prepregnancy overweight/obesity.

METHODS

In a prospective longitudinal study, individuals with prepregnancy BMI ≥ 25 (N = 257) were interviewed monthly to assess LOC and reported demographic, parity, and smoking information. GWG was abstracted from medical records.

RESULTS

Among individuals with prepregnancy overweight/obesity, 39% endorsed LOC prior to or during pregnancy. After adjusting for factors that have previously been linked to GWG, LOC during pregnancy, uniquely predicted higher GWG and greater likelihood of exceeding GWG recommendations. Participants with prenatal LOC gained 3.14 kg (p = 0.03) more than did those without LOC during pregnancy and 78.7% (n = 48/61) exceeded IOM guidelines for GWG. The frequency of LOC episodes was also associated with greater weight gain.

CONCLUSIONS

Prenatal LOC is common among pregnant individuals with overweight/obesity and predicts greater GWG and increased likelihood of exceeding IOM GWG guidelines. LOC may represent a modifiable behavioral mechanism to prevent excessive GWG among individuals at risk for adverse pregnancy outcomes.

Formative Development of ClockWork for the Postpartum Period: A Theory-Based Intervention to Harness the Circadian Timing System to Address Cardiometabolic Health-Related Behaviors

Individuals with body mass index (BMI) ≥ 25 kg/m2 before pregnancy have greater difficulty losing the weight gained during pregnancy, and this postpartum weight retention predicts higher risk for cardiometabolic disease. The postpartum period involves substantial disruptions in circadian rhythms, including rhythms related to eating, physical activity, sleep, and light/dark exposure, each of which are linked to obesity and cardiometabolic disease in non-pregnant adult humans and animals. We posit that a multi-component, circadian timing system-based behavioral intervention that uses digital tools-ClockWork-will be feasible and acceptable to postpartum individuals and help promote weight- and cardiometabolic health-related behaviors. We provide data from stakeholder interviews with postpartum individuals (pre-pregnancy BMI ≥ 25; n = 7), which were conducted to obtain feedback on and improve the relevance and utility of digital self-monitoring tools for health behaviors and weight during the postpartum period. Participants perceived the ClockWork intervention and digital monitoring app to be helpful for management of postpartum weight-related health behaviors. They provided specific recommendations for increasing the feasibility intervention goals and improving app features for monitoring behaviors. Personalized, easily accessible interventions are needed to promote gestational weight loss after delivery; addressing circadian behaviors is an essential component of such interventions. Future studies will evaluate the efficacy of the ClockWork intervention and associated digital tools for improving cardiometabolic health-related behaviors linked to the circadian timing system during the postpartum period.

Perceived social support predicts self-reported and objective health and health behaviors among pregnant women

Perinatal health and health behaviors play a crucial role in maternal and neonatal health. Data examining psychosocial factors which predict self-reported health and health behaviors as well as objective indicators downstream of health behaviors among pregnant women are lacking. In this longitudinal study design with 131 pregnant women, perceived social support was examined as a predictor of self-rated health and average levels of sleep quality, health-promoting and health-impairing behaviors, and red blood cell (RBC) polyunsaturated fatty acids across early, mid, and late pregnancy. Participants provided a blood sample and fatty acid methyl esters were analyzed by gas chromatography. Measures included the Multidimensional Scale of Perceived Social Support, Pittsburgh Sleep Quality Index, and Prenatal Health Behavior Scale. Regression models demonstrated that, after adjustment for income, race/ethnicity, age, relationship status, pre-pregnancy body mass index, greater social support was associated with better self-rated health (p = 0.001), greater sleep quality (p = 0.001), fewer health-impairing behaviors (p = 0.02), and higher RBC omega-3 fatty acids (p = 0.003). Associations among social support with health-promoting behaviors, RBC omega-6 fatty acids, or gestational weight gain were not significant. Findings underscore the benefits of perceived social support in the context of pregnancy. Examination of pathways that link social support with these outcomes will be meaningful in determining the ways in which perinatal psychosocial interventions may promote health.

Third trimester cortisol is positively associated with gestational weight gain in pregnant women with class one obesity

BACKGROUND/OBJECTIVE

Prevalence of pre-pregnancy obesity and excessive gestational weight gain (GWG) are higher among women of color with low SES. Dysregulation of the Hypothalamic-Pituitary-Adrenal (HPA) axis and its end-product, cortisol, during pregnancy is hypothesized to be associated with excessive GWG. However, past studies have produced inconsistent findings and often did not include health disparities populations. This study examined the association between pre-pregnancy body mass index (BMI), third trimester diurnal cortisol, and GWG in low-income, predominantly Hispanic women.

SUBJECTS/METHODS

The MADRES study is an ongoing prospective cohort study of primarily Hispanic, low-income pregnant women and their children in Los Angeles, California. Data from 176 participants were included in this study. Total cortisol secretion (area under the curve, AUC) was quantified using four salivary cortisol samples (awakening, 30 min after awakening, afternoon, and bedtime) that were collected at home on one day during the third trimester of pregnancy. Moderation of the association between total cortisol and GWG by pre-pregnancy BMI was tested using multiple linear regression with a multiplicative interaction term.

RESULTS

There was no association between total cortisol secretion and GWG overall (p = 0.82), but the association between total cortisol and GWG was stronger for women with class 1 pre-pregnancy obesity compared to women with normal pre-pregnancy BMI (interaction term p = 0.04).

CONCLUSIONS

Results suggest that obesity status before pregnancy may be exacerbating the physiological impact of cortisol on GWG.

Pre-pregnancy Health Behaviors and Gestational Weight Gain Among Hispanic/Latino Women: Hispanic Community Health Study/Study of Latinos

OBJECTIVE

To examine the association between preconception diet quality, sedentary behavior, and physical activity with gestational weight gain (GWG) among Hispanic/Latina women.

METHODS

This was a retrospective cohort study of participants from visits 1 and 2 of the Hispanic Community Health Study/Study of Latinos and singleton pregnancies between the 2 visits. Diet quality (alternative healthy eating index/AHEI-2010), sedentary behaviors, and physical activity (global physical activity questionnaire) were measured at visit 1 and accounted for preconception health behaviors. GWG was evaluated as a continuous and categorical variable according to the 2009 Institute of Medicine guidelines (inadequate, adequate, excessive). Linear and generalized logit survey regressions were used to study the association between health behaviors and GWG, using adequate GWG as the reference.

RESULTS

Of the 457 women included, deliveries occurred at 3.2 years (mean) from visit 1; 48.7% of women had excessive GWG. Mean AHEI-2010 scores were < 45% for women of all Hispanic/Latina backgrounds. There was no association between each 10-unit increase in AHEI-2010 or a 500 kcal/day increase in energy intake for mean and categorical GWG. There was no association between 30 min/day higher sedentary behavior, 30 min/day higher physical activity, or meeting the 2008 US physical activity guidelines for mean and categorical GWG.

CONCLUSIONS

We did not find any association between diet quality, sedentary behavior, and physical activity at visit 1 with GWG in pregnancies occurring between visits 1 and 2. We noted widespread poor diet quality as measured by the AHEI-2010 and low levels of physical activity among Hispanic/Latina women.

Effect of dehydration during pregnancy on birth weight and length in West Jakarta

Nutrition and maternal behavior are critical factors in fetal development. Maternal water intake is necessary to regulate metabolism and may influence fetal growth. This study aims to determine the effect of dehydration during pregnancy on birth weight and length. This cohort-prospective study took place in the area of Kebon Jeruk District Health Centre. A total of 38 subjects of pregnant women in their second trimester were examined. Subject characteristics were collected through direct measurements and interviews. Urine and blood samples were collected at the sixth trimester (32-34 and 35-37 weeks) to determine hydration status. Nutritional status was collected through food recall, while birth weight and length were obtained from the anthropometric measurements 30 min after birth. From a total of 38 subjects, 20 were dehydrated, and 18 were well hydrated. There was a significant relationship between hydration status and water intake, birth weight and length, head circumference, and chest circumference. After being corrected to the level of water intake, the difference in birth weight and length between the two groups were 500⋅6 g and 0⋅4 cm, and 0⋅8 cm and 1⋅4 cm for the head circumference and chest circumference (P < 0⋅05). It is recommended for mothers to monitor their weight and ensure fluid intake of 3⋅0 l per day. Further research requires more subjects to observe the effects of chronic maternal dehydration on pregnancy output and a cohort study that monitors infant development in the first six months of life.

Gestational weight gain in a migration context: are migrant women more at risk of inadequate or excessive weight gain during pregnancy?

BACKGROUND

Inadequate or excessive gestational weight gain (GWG) is associated with adverse maternal and neonatal outcomes. Little is known on adequacy of GWG in migrant women. This study investigates whether migrant women in France are at higher risk of inadequate or excessive GWG, and what characteristics are associated with GWG in migrant and non-migrant groups.

METHODS

We used data from the PreCARE multicentric prospective cohort (N=10 419). The study includes 5403 women with singleton deliveries, with non-migrant (n=2656) and migrant (n=2747) status. We used multinomial logistic regression, adjusting for maternal age and parity, to investigate the association of migrant status, socioeconomic status-related variables and GWG. In stratified analyses, we identified factors associated with GWG in both groups.

RESULTS

Compared with non-migrant women, migrant women had increased risk of inadequate GWG (adjusted odds ratio (aOR) 1.18; 95% CI 1.03 to 1.34). Non-migrant women with foreign origins had increased risk of excessive GWG (aOR 1.58; 95% CI 1.30 to 1.92). Women born in Sub-Saharan Africa had increased risk of both inadequate and excessive GWG. Regardless of migration status, women with lower education and women who did not start pregnancy with a normal weight were less likely to gain adequately. Inadequate prenatal care was associated with inadequate GWG only among non-migrant women.

CONCLUSION

Migrant women are at higher risk of inadequate GWG.

Specific amino acids but not total protein attenuate postpartum weight gain among Hispanic women from Southern California

There is a high prevalence of obesity and type 2 diabetes in the United States, particularly among Hispanic women, which may be partly explained by failure to lose gestational weight during the postpartum period. Previous work indicates that protein and amino acids may protect against weight gain; therefore, this study examined the impact of dietary protein and amino acid intake on changes in postpartum weight and the percent of women meeting the Estimated Average Requirement (EAR) for these dietary variables among Hispanic women from the Southern California Mother's Milk Study (n = 99). Multivariable linear regression analysis was used to examine the associations between protein and amino acid intake with change in weight after adjusting for maternal age, height, and energy intake. Women's weight increased from prepregnancy to 1-month and 6-months postpartum (71.1 ± 14.6 vs. 73.1 ± 13.1 vs. 74.5 ± 14.6 kg, p < .0001). Although dietary protein was not associated with weight change (β = -1.09; p = .13), phenylalanine (β = -1.46; p = .04), tryptophan (β = -1.71; p = .009), valine (β = -1.34; p = .04), isoleucine (β = -1.26; p = .045), and cysteine (β = -1.52; p = .02) intake were inversely associated with weight change. Additionally, fewer women met the EAR values for cysteine (11.1%), phenylalanine (60.6%), and methionine (69.7%), whereas most women met the EAR values for tryptophan (92.9%), valine (96.0%), and isoleucine (94.9%). Study results indicate that several essential and conditionally essential amino acids were associated with postpartum weight loss, with a significant portion of women not meeting recommended intake levels for some of these amino acids. These results highlight the importance of postpartum maternal diet as a potential modifiable risk factor.

The impact of setting a pregnancy weight gain goal on total weight gain

BACKGROUND

Expert groups recommend that women set a pregnancy weight gain goal with their care provider to optimise weight gain.

OBJECTIVE

Our aim was to describe the concordance between first-trimester personal and provider pregnancy weight gain goals with the Institute of Medicine (IOM) recommendations and to determine the association between these goals and total weight gain.

METHODS

We used data from 9353 women in the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be. In the first trimester, women reported their personal pregnancy weight gain goal and their provider weight gain goal, and we categorised personal and provider weight gain goals and total weight gain according to IOM recommendations. We used log-binomial or linear regression models to relate goals to total weight gain, adjusting for confounders including race/ethnicity, maternal age, education, smoking, marital status and planned pregnancy.

RESULTS

Approximately 37% of women reported no weight gain goals, while 24% had personal and provider goals, 31% had only a personal goal, and 8% had only a provider goal. Personal and provider goals were outside the recommended ranges in 12%-23% of normal-weight women, 31%-41% of overweight women and 47%-63% of women with obesity. Women with both personal and provider pregnancy weight gain goals were 6%-14% more likely than their counterparts to have a goal within IOM-recommended ranges. Having any goal or a goal within the IOM-recommended ranges was unrelated to pregnancy weight gain. Excessive weight gain occurred in approximately half of normal-weight or obese women and three-quarters of overweight women, regardless of goal setting group.

CONCLUSIONS

These findings do not support the effectiveness of early-pregnancy personal or provider gestational weight gain goal setting alone in optimising weight gain. Multifaceted interventions that address a number of mediators of goal setting success may assist women in achieving weight gain consistent with their goals.

Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

BACKGROUND

Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model.

METHODS

This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants.

RESULTS

In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, p<.001) or obese (Exp(B)=4.20, p=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25-43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG.

CONCLUSION

GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes.

Development and Feasibility of an App to Decrease Risk Factors for Type 2 Diabetes in Hispanic Women With Recent Gestational Diabetes (Hola Bebé, Adiós Diabetes): Pilot Pre-Post Study

Background

Hispanic women have increased risk of gestational diabetes mellitus (GDM), which carries an increased risk for future type 2 diabetes, compared to non-Hispanic women. In addition, Hispanic women are less likely to engage in healthy eating and physical activity, which are both risk factors for type 2 diabetes. Supporting patients to engage in healthy lifestyle behaviors through mobile health (mHealth) interventions is increasingly recognized as a viable, underused tool for disease prevention, as they reduce barriers to access frequently experienced in face-to-face interventions. Despite the high percentage of smartphone ownership among Hispanics, mHealth programs to reduce risk factors for type 2 diabetes in Hispanic women with prior GDM are lacking.

Objective

This study aimed to (1) develop a mobile app (¡Hola Bebé, Adiós Diabetes!) to pilot test a culturally tailored, bilingual (Spanish/English) lifestyle program to reduce risk factors for type 2 diabetes in Hispanic women with GDM in the prior 5 years; (2) examine the acceptability and usability of the app; and (3) assess the short-term effectiveness of the app in increasing self-efficacy for both healthy eating and physical activity, and in decreasing weight.

Methods

Social cognitive theory provided the framework for the study. A prototype app was developed based on prior research and cultural tailoring of content. Features included educational audiovisual modules on healthy eating and physical activity; personal action plans; motivational text messages; weight tracking; user-friendly, easy-to-follow recipes; directions on building a balanced plate; and tiered badges to reward achievements. Perceptions of the app’s acceptability and usability were explored through four focus groups. Short-term effectiveness of the app was tested in an 8-week single group pilot study.

Results

In total, 11 Hispanic women, receiving care at a federally qualified community health center, aged 18-45 years, and with GDM in the last 5 years, participated in four focus groups to evaluate the app’s acceptability and usability. Participants found the following sections most useful: audiovisual modules, badges for completion of activities, weight-tracking graphics, and recipes. Suggested modifications included adjustments in phrasing, graphics, and a tiering system of badges. After app modifications, we conducted usability testing with 4 Hispanic women, with the key result being the suggestion for a “how-to tutorial.” To assess short-term effectiveness, 21 Hispanic women with prior GDM participated in the pilot. There was a statistically significant improvement in both self-efficacy for physical activity (P=.003) and self-efficacy for healthy eating (P=.007). Weight decreased but not significantly. Backend process data revealed a high level of user engagement.

Conclusions

These data support the app’s acceptability, usability, and short-term effectiveness, suggesting that this mHealth program has the potential to fill the gap in care experienced by Hispanic women with prior GDM following pregnancy. Future studies are needed to determine the effectiveness of an enhanced app in a randomized controlled trial.

Trial Registration

ClinicalTrials.gov NCT04149054; https://clinicaltrials.gov/ct2/show/NCT04149054

Maternal Characteristics that Impact Postpartum Weight Retention: Results from the 2016 Los Angeles Mommy and Baby (LAMB) Follow-Up Study

OBJECTIVE

To identify maternal characteristics associated with 24-month postpartum weight retention.

METHODS

Data were collected from the 2016 Los Angeles Mommy and Baby (LAMB) Follow-Up Survey, a population-based prospective cohort study that assesses maternal and infant health in Los Angeles County. In 2014, LAMB initially surveyed 6035 women 6 months following a live birth. The 2016 LAMB Follow-Up reevaluated this same cohort after the index child's second birthday. 2679 women completed 2016 LAMB Follow-Up (52% adjusted response rate). The final sample size was 1524 after excluding subjects with subsequent pregnancies after the index child and missing information for postpartum weight. Eight predictors were included in this analysis: gestational weight gain, pre-pregnancy BMI, exercise, depressed mood since having child, age, race, education, and job loss during pregnancy. Chi-square tests and logistic regression analyses were performed using SAS 9.3.

RESULTS

Two years after delivery, women with postpartum weight retention weighed on average of 15.3 lb. more than before the index pregnancy. Women were more likely to retain postpartum weight when they exceeded gestational weight gain guidelines (AOR = 2.03, 95% CI = 1.40-2.93), did not exercise (AOR = 3.32, CI = 1.85-5.98), were between ages 20-29 (AOR = 1.54, CI = 1.01-2.36), were Hispanic (AOR = 1.51, CI = 1.02-2.24), completed high school only (AOR = 1.77, CI = 1.15-2.73), or lost a job during pregnancy (AOR = 2.62, CI = 1.39-4.93).

CONCLUSIONS

Modifiable risk factors and sociodemographic characteristics can impact maternal weight retention 24 months after pregnancy. Understanding postpartum weight retention is essential for guiding future public health research, programming, and policy. Tailoring appropriate public health interventions may help women sustain healthy weight during their reproductive years and beyond.

Association Between Gestational Weight Gain and Autism Spectrum Disorder in Offspring: A Meta-Analysis

OBJECTIVE

This study aimed to quantitatively examine the association between gestational weight gain (GWG) and risk of autism spectrum disorder (ASD) in offspring.

METHODS

Electronic databases were searched for studies of excessive or inadequate GWG, as compared with recommended GWG, in relation to the risk of ASD in offspring. Measures of the association from primary studies were pooled using a meta-analytic approach and expressed as weighted odds ratios (ORs) with 95% CIs.

RESULTS

Nine studies were identified, including 323,253 participants with 4,135 cases of ASD from five cohort studies and 1,462 cases and 3,265 controls from four case-control studies. Evidence from cohort studies indicates that both excessive and inadequate GWG was significantly associated with a higher risk for ASD in offspring. The pooled OR of ASD was 1.10 (95% CI: 1.02-1.18) for excessive GWG and 1.13 (95% CI: 1.04-1.24) for inadequate GWG using recommended GWG as the reference. Evidence from case-control studies suggests that excessive GWG (1.38 [95% CI: 1.19-1.62]) but not inadequate GWG (0.87 [95% CI: 0.72-1.04]) was significantly associated with a higher risk for ASD.

CONCLUSIONS

The accumulated evidence has supported that gaining weight outside the recommended GWG is associated with a higher risk for ASD in offspring.

Weight gain during pregnancy and its associated factors: A Path analysis

Aim

Weight gain during pregnancy is an important indicator in the prediction of morbidity and mortality in infants and mothers. This study aimed to determine the association factors for weight gain during pregnancy.

Design

A longitudinal study.

Methods

A total of 734 women were selected using multistage cluster sampling. Data were collected using demographic and midwifery questionnaires, economic and social status, psychological factors, domestic violence, perceived social support and food insecurity.

Results

Of participants 28.7%, 49.6% and 21.7%, respectively, received insufficient, adequate and excessive weight gain in pregnancy respectively. Among health determinants entered in the model, mother's age, prepartum body mass index and direct and indirect prenatal care, size of households, food insecurity, stress, anxiety, stress and pregnancy-specific stress as well as violence had a positive and increasing effect on weight gain during pregnancy.

Conclusion

Considering the effect of inappropriate weight gain during pregnancy on undesirable pregnancy outcomes, related factors such as nutritional status, stress and depression in prenatal care should be assessed. Healthcare providers should consult, educate pregnant women.

Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial

BACKGROUND

Maternal weight variables are important predictors of postpartum depression (PPD). While preliminary evidence points to an association between pre-pregnancy obesity and PPD, the role of excessive gestational weight gain (GWG) on PPD is less studied. In this secondary cohort analysis of the German 'healthy living in pregnancy' (GeliS) trial, we aimed to investigate associations between weight-related variables and PPD and to assess the influence of GWG on the risk for PPD.

METHODS

We included women with normal weight, overweight, and obesity (BMI 18.5-40.0 kg/m²). Symptoms of PPD were assessed 6-8 weeks postpartum using the Edinburgh Postnatal Depression Scale. Pre-pregnancy BMI was self-reported. During the course of pregnancy, weight was measured at gynaecological practices within regular check-ups. GWG was defined as the difference between the last measured weight before delivery and the first measured weight at the time of recruitment (≤ 12^th week of gestation). Excessive GWG was classified according to the Institute of Medicine. Multiple logistic regression analyses were used to estimate the odds of PPD in relation to pre-pregnancy BMI, GWG, and excessive GWG adjusting for important confounders.

RESULTS

Of the total 1583 participants, 45.6% (n = 722) showed excessive GWG and 7.9% (n = 138) experienced PPD. Pre-pregnancy BMI (per 5-unit increase; OR = 1.23, 95% CI 1.08-1.41, p = 0.002) and pre-pregnancy overweight or obesity were significantly positively associated with the odds of developing PPD, particularly among women with an antenatal history of anxiety or depressive symptoms (overweight: OR = 1.93, 95% CI = 1.15-3.22, p = 0.01; obesity: OR = 2.11, 95% CI = 1.13-3.96, p = 0.02). Sociodemographic or lifestyle factors did not additively influence the odds of having PPD. In fully adjusted models, there was no significant evidence that GWG or the occurrence of excessive GWG increased the odds of experiencing PPD (excessive vs. non-excessive: OR = 3.48, 95% CI 0.35-34.94; GWG per 1 kg increase: OR = 1.16, 95% CI 0.94-1.44).

CONCLUSION

Pre-pregnancy overweight or obesity is associated with PPD independent of concurrent risk factors. History of anxiety or depressive symptoms suggests a stress-induced link between pre-pregnancy weight and PPD.

TRIAL REGISTRATION

NCT01958307 , ClinicalTrials.gov, retrospectively registered on 9 October 2013.

Psychosocial stress and longitudinally measured gestational weight gain throughout pregnancy: The Ulm SPATZ Health Study

Psychosocial stress is thought to influence gestational weight gain (GWG), but results are inconsistent. We investigated the relationship of questionnaire-based maternal stress and related constructs assessed at childbirth with maternal weight measured throughout pregnancy. Data were derived from the Ulm SPATZ Health Study, a birth cohort recruited from the general population (04/2012-05/2013, Ulm, Germany). Adjusted generalized estimating equations were performed. Regression coefficients (b) and 95% confidence intervals, each highest versus lowest tertile of stress or related constructs, are presented. In 748 women, we observed positive associations for maternal chronic stress (b = 4.36 kg (1.77; 6.95)), depressive symptoms (b = 2.50 kg (0.14; 4.86)), anxiety symptoms (b = 3.26 kg (0.62, 5.89)), and hair cortisol (b = 3.35 kg (0.86; 5.83)) with maternal weight at the first gestational month. GWG was considerably lower in mothers with higher chronic stress. Pregnancy-related anxiety was positively related to weight at first month (b = 4.16 kg (1.74; 6.58)) and overall GWG. In contrast, no association was observed between anxiety symptoms and GWG. Odds ratios for association with inadequate weight gain according to Institute of Medicine recommended cutoffs differed from the results presented obove. There is evidence of an association between stress and weight gain lying beyond the recommended cut-offs, which however needs further corroboration.

Association of county perinatal resources and gestational weight gain in West Virginia, United States

Background

Inappropriate (inadequate or excessive) gestational weight gain (GWG) is of great concern to maternal, fetal and infant health. Different maternal and fetal risk factors are associated with GWG, but little is known about a more distal risk factor: inadequate county-level perinatal resources. Therefore, the study aim was to investigate GWG in women living in counties with below average perinatal resources in comparison with their counterparts living in counties with above average perinatal resources.

Methods

Retrospective study of 406,792,010–2011 West Virginia births in 55 counties. The outcome was GWG and the main predictor was county perinatal resources. Hierarchical linear mixed model was used to investigate the association of county perinatal resources and GWG.

Results

County perinatal resources was associated with GWG (p = 0.009), controlling for important covariates. Below average county perinatal resources was not significantly associated with a decrease in mean GWG (M: − 5.29 lbs., 95% CI: − 13.94, 3.35, p = 0.2086), in comparison with counties with above average county perinatal resources. There was significant difference between average, and above average county perinatal resources (M: − 17.20 lbs., 95% CI: − 22.94, − 11.47, p < 0.0001), controlling for smoking during pregnancy and other covariates.

Conclusions

Average county perinatal resources was associated with reduced mean GWG relative to above average county perinatal resources, but not below average county perinatal resources. However, this could be due to the small number of counties with above average resources as the effect was in the hypothesized direction. This highlights one of the challenges in county perinatal resource studies.

Experiences regarding nutrition and exercise among women during early postpartum: a qualitative grounded theory study

BACKGROUND

Excess gestational weight gain has long- and short-term implications for women and children, and postpartum weight retention is associated with an increased risk of long-term obesity. Despite the existence of dietary and exercise guidelines, many women struggle to return to pre-pregnancy weight. Experiences of women in tackling postpartum weight loss are poorly understood. We undertook this study to explore experiences related to nutrition, exercise and weight in the postpartum in women in Ontario, Canada.

METHODS

This was a nested qualitative study within The Be Healthy in Pregnancy Study, a randomized controlled trial. Women randomized to the control group were invited to participate. Semi-structured focus groups were conducted at 4-6 months postpartum. Focus groups were audio recorded, transcribed verbatim, coded and analyzed thematically using a constructivist grounded theory approach.

RESULTS

Women experienced a complex relationship with their body image, due to unrealistic expectations related to their postpartum body. Participants identified barriers and enablers to healthy habits during pregnancy and postpartum. Gestational weight gain guidelines were regarded as unhelpful and unrealistic. A lack of guidance and information about weight management, healthy eating, and exercise in the postpartum period was highlighted.

CONCLUSION

Strategies for weight management that target the unique characteristics of the postpartum period have been neglected in research and in patient counselling. Postpartum women may begin preparing for their next pregnancy and support during this period could improve their health for subsequent pregnancies.

TRIAL REGISTRATION

NCT01689961 registered September 21, 2012.

Are women in Singapore gaining weight appropriately during pregnancy: a prospective cohort study

BACKGROUND

We aimed to study gestational weight gain (GWG) in a Singaporean population and compare it with Institute of Medicine (IOM) 2009 GWG guidelines.

METHODS

Nine hundred twenty-six women with low-risk singleton pregnancy were enrolled in a prospective cohort study from 2010 to 2014 in a Singapore tertiary maternity hospital. Seven hundred twenty-four patients had maternal weight information till term pregnancy and were included in analysis. Participants were categorized according to their first antenatal visit body mass index (BMI) as underweight, normal weight, overweight and obese. Total GWG for each BMI group was calculated. Multivariate logistic regression was performed to determine the predictors of total GWG above and below IOM guidelines.

RESULTS

Obese women had a mean total GWG (9.1 kg) that exceeded the upper limit IOM guidelines (9 kg). In multivariate analysis of predictors of total GWG above IOM guidelines, being overweight (adjusted OR: 3.91 [95% CI, 2.60-5.88]; p < .0001) and obese (adjusted OR: 4.78 [95% CI, 2.80, 8.15]; p < .0001) significantly increased the risks of gaining weight above IOM guidelines during pregnancy, compared to being normal weight.

CONCLUSIONS

Overweight and obesity are independent significant risk factors for gaining excessive gestational weight. Appropriate weight management for overweight and obese Singaporean women prior to and during pregnancy is important.

Study Design, Protocol and Profile of the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) Pregnancy Cohort: a Prospective Cohort Study in Predominantly Low-Income Hispanic Women in Urban Los Angeles

BACKGROUND

The burden of childhood and adult obesity disproportionally affects Hispanic and African-American populations in the US, and these groups as well as populations with lower income and education levels are disproportionately affected by environmental pollution. Pregnancy is a critical developmental period where maternal exposures may have significant impacts on infant and childhood growth as well as the future health of the mother. We initiated the "Maternal And Developmental Risks from Environmental and Social Stressors (MADRES)" cohort study to address critical gaps in understanding the increased risk for childhood obesity and maternal obesity outcomes among minority and low-income women in urban Los Angeles.

METHODS

The MADRES cohort is specifically examining whether pre- and postpartum environmental exposures, in addition to exposures to psychosocial and built environment stressors, lead to excessive gestational weight gain and postpartum weight retention in women and to perturbed infant growth trajectories and increased childhood obesity risk through altered psychological, behavioral and/or metabolic responses. The ongoing MADRES study is a prospective pregnancy cohort of 1000 predominantly lower-income, Hispanic women in Los Angeles, CA. Enrollment in the MADRES cohort is initiated prior to 30 weeks gestation from partner community health clinics in Los Angeles. Cohort participants are followed through their pregnancies, at birth, and during the infant's first year of life through a series of in-person visits with interviewer-administered questionnaires, anthropometric measurements and biospecimen collection as well as telephone interviews conducted with the mother.

DISCUSSION

In this paper, we outline the study rationale and data collection protocol for the MADRES cohort, and we present a profile of demographic, health and exposure characteristics for 291 participants who have delivered their infants, out of 523 participants enrolled in the study from November 2015 to October 2018 from four community health clinics in Los Angeles. Results from the MADRES cohort could provide a powerful rationale for regulation of targeted chemical environmental components, better transportation and urban design policies, and clinical recommendations for stress-coping strategies and behavior to reduce lifelong obesity risk.

Gestational route to healthy birth (GaRBH): protocol for an Indian prospective cohort study

INTRODUCTION

Pregnancy is characterised by a high rate of metabolic shifts from early to late phases of gestation in order to meet the raised physiological and metabolic needs. This change in levels of metabolites is influenced by gestational weight gain (GWG), which is an important characteristic of healthy pregnancy. Inadequate/excessive GWG has short-term and long-term implications on maternal and child health. Exploration of gestational metabolism is required for understanding the quantitative changes in metabolite levels during the course of pregnancy. Therefore, our aim is to study trimester-specific variation in levels of metabolites in relation to GWG and its influence on fetal growth and newborn anthropometric traits at birth.

METHODS AND ANALYSIS

A prospective longitudinal study is planned (start date: February 2018; end date: March 2023) on pregnant women that are being recruited in the first trimester and followed in subsequent trimesters and at the time of delivery (total 3 follow-ups). The study is being conducted in a hospital located in Bikaner district (66% rural population), Rajasthan, India. The estimated sample size is of 1000 mother-offspring pairs. Information on gynaecological and obstetric history, socioeconomic position, diet, physical activity, tobacco and alcohol consumption, depression, anthropometric measurements and blood samples is being collected for metabolic assays in each trimester using standardised methods. Mixed effects regression models will be used to assess the role of gestational weight in influencing metabolite levels in each trimester. The association of maternal levels of metabolites with fetal growth, offspring's weight and body composition at birth will be investigated using regression modelling.

ETHICS AND DISSEMINATION

The study has been approved by the ethics committees of the Department of Anthropology, University of Delhi and Sardar Patel Medical College, Rajasthan. We are taking written informed consent after discussing the various aspects of the study with the participants in the local language.

Trial design and methodology for a non-restricted sequential multiple assignment randomized trial to evaluate combinations of perinatal interventions to optimize women's health

Pre-pregnancy overweight/obesity and excessive gestational weight gain (GWG) independently predict negative maternal and child health outcomes. To date, however, interventions that target GWG have not produced lasting improvements in maternal weight or health at 12-months postpartum. Given that interventions solely aimed at addressing GWG may not equip women with the skills needed for postpartum weight management, interventions that address health behaviors over the perinatal period might maximize maternal health in the first postpartum year. Thus, the current study leveraged a sequential multiple assignment randomized trial (SMART) design to evaluate sequences of prenatal (i.e., during pregnancy) and postpartum lifestyle interventions that optimize maternal weight, cardiometabolic health, and psychosocial outcomes at 12-months postpartum. Pregnant women (N = 300; ≤16 weeks pregnant) with overweight/obesity (BMI ≥ 25 kg/m2) are being recruited. Women are randomized to intervention or treatment as usual on two occasions: (1) early in pregnancy, and (2) prior to delivery, resulting in four intervention sequences. Intervention during pregnancy is designed to moderate GWG and introduce skills for management of weight as a chronic condition, while intervention in the postpartum period addresses weight loss. The primary outcome is weight at 12-months postpartum and secondary outcomes include variables of cardiometabolic health and psychosocial well-being. Analyses will evaluate the combination of prenatal and postpartum lifestyle interventions that optimizes maternal weight and secondary outcomes at 12-months postpartum. Optimizing the sequence of behavioral interventions to address specific needs during pregnancy and the first postpartum year can maximize intervention potency and mitigate longer-term cardiometabolic health risks for women.

Within-subject effects of environmental and social stressors on pre- and post-partum obesity-related biobehavioral responses in low-income Hispanic women: protocol of an intensive longitudinal study

BACKGROUND

Disproportionately high rates of maternal overweight and obesity among the Hispanic population before, during, and after pregnancy pose serious health concerns for both mothers (e.g., preeclampsia, gestational diabetes, weight retention) and children (e.g., elevated lifelong obesity risk). A growing body of evidence implicates environmental exposures (e.g., air pollution, metals) and social stressors (e.g., poverty, violence) in contributing to obesity-related biobehavioral processes, such as physical activity, dietary intake, perceived stress, and cortisol regulation. However, current understanding of the role of environmental exposures and social stressors on obesity-related biobehavioral processes is limited by infrequent, inter-individual measurement, and lack of personal exposure monitoring.

METHODS

The "Maternal and Developmental Risks from Environmental and Social Stressors" (MADRES) real-time and personal sampling study examines the within-subject day-level effects of environmental and social stressors on maternal pre- and post-partum obesity-related biobehavioral responses. Among a cohort of 65 low-income, Hispanic women in urban Los Angeles, this study uses innovative personal, real-time data capture strategies (e.g., ecological momentary assessment [EMA], personal exposure monitoring, geolocation monitoring, accelerometry) to repeatedly assess obesity-related processes during the 1st and 3rd trimester, and at 4-6 months postpartum. Day-level effects of environmental exposures and social stressors on women's physical activity, diet, perceived stress and salivary cortisol measured across repeated days will be tested using multilevel modeling.

DISCUSSION

Hispanic women of childbearing age bear a disproportionately high burden of obesity, and this population is also unduly exposed to numerous obesogenic settings. By using innovative real-time data capture strategies, the current study will uncover the daily impacts of environmental and social stressor exposures on women's obesity-related biobehavioral responses, which over time can lead to excessive gestational weight gain, postpartum weight retention and can pose serious consequences for both mother and child. Findings from the real-time and personal sampling study will identify key mechanistic targets for policy, clinical, and programmatic interventions, with the potential for broad-reaching public health impacts.

Risk of adverse pregnancy outcomes by pre-pregnancy Body Mass Index among Italian population: a retrospective population-based cohort study on 27,807 deliveries

PURPOSE

To estimate the impact of increasing pre-pregnancy Body Mass Index (BMI) on the risk of adverse maternal and perinatal outcomes, in patients who delivered in an Italian tertiary care Obstetric department.

METHODS

Data, related to women who delivered at Sant'Anna Hospital, Turin, between 2011 and 2015, were collected retrospectively from the hospital database. According to BMI, women were considered as normal weight, overweight, and class 1, 2 and 3 obese (WHO criteria). Logistic regression analysis studied the impact of BMI on maternal and neonatal outcomes, adjusting results for maternal age and parity. Adjusted absolute risks of each outcome were reported according to incremental values in pre-pregnancy BMI.

RESULTS

A total of 27,807 women were included. 75.8% of pregnancies occurred among normal-weight women, whereas 16.7% were overweight, and 7.5% obese women (5.4% class 1, 1.7% class 2 and 0.4% class 3). A 10% decrease in pre-pregnancy BMI was associated with a reduction of at least 15% of Gestational diabetes mellitus (GDM), preeclampsia, maternal admission to intensive care unit (ICU), macrosomia, APGAR 5' < 6 and neonatal admission to ICU. GDM and preeclampsia resulted in the highest reduction being almost 30%. Larger differences in BMI (20-25%) corresponded to at least a 10% in reduction of risk of preterm and very preterm delivery and emergency cesarean section. Differences in maternal pre-pregnancy BMI had no impact on the frequency of shoulder dystocia and stillbirth.

CONCLUSIONS

This study offers a quantitative estimation of negative impact of pre-pregnancy obesity on the most common pregnancy and perinatal complications.

Relationship Between Psychosocial Factors, Dietary Intake and Gestational Weight Gain: A Narrative Review

Inadequate gestational weight gain (GWG), which has reached almost two-thirds of Canadian pregnant women, is associated with several adverse effects both in the mother and her child. The aim of this review was to establish how psychosocial factors, diet and GWG are interrelated during pregnancy. More specifically, it aimed to evaluate how psychosocial factors can impact on diet and, thus, influence GWG. Studies published through May 2017 that examined factors related to GWG were included. Of 3268 non-duplicate titles and abstract, 77 articles underwent full-text review. Regarding dietary intakes, the majority of the included studies demonstrated that a higher caloric intake was associated with an elevated GWG. Also, a negative body image and attitude toward weight gain as well as a poor knowledge of GWG recommendations and inadequate prenatal care is associated with an increased GWG. Only few studies examined altogether the factors included and conclusions about how psychosocial factors can impact on diet and, thus, influence GWG cannot be drawn at this point. In the few studies that evaluated the interrelationships between psychosocial factors, diet and GWG, energy intake was not identified as a mediator of the association between psychosocial factors and GWG. This review highlights the scarcity of findings regarding psychosocial and dietary factors in relation to GWG and the need for high quality prospective cohort studies that will include all these factors to provide a better understanding of how they are interrelated to influence short- and long-term health.

Dietary Patterns Prior to Pregnancy and Associations with Pregnancy Complications

Few studies have explored pre-pregnancy diet and its relationship with pregnancy outcomes. The objectives of this study were to: (1) derive pre-pregnancy dietary patterns for women enrolled in a prospective cohort in the province of Alberta, Canada; (2) describe associations between dietary patterns and socio-demographic characteristics; and (3) describe associations between dietary patterns and pregnancy complications. Upon enrolment into the Alberta Pregnancy Outcomes and Nutrition (APrON) study (median age of gestation, 17 weeks), women (n = 1545) completed a validated 142-item food frequency questionnaire recording food and beverages consumed “in the 12 months prior to pregnancy”. Other assessments included pre-pregnancy body mass index (BMI), gestational weight gain, gestational hypertension, gestational diabetes, and socio-demographic characteristics. Dietary patterns were derived using principal components analysis. Scores were calculated to represent adherence with each dietary pattern retained. Four dietary patterns were retained, accounting for 22.9% of the variation in the overall diet. Dietary patterns were named the “healthy”, “meat and refined carbohydrate”, “beans, cheese and salad” or “tea and coffee” patterns. Higher “healthy” pattern scores prior to pregnancy were associated with lower odds of developing gestational hypertension during pregnancy (adjusted Odds Ratio (OR): 0.6, 95% Confidence Intervals (CI): 0.4, 0.9). Diet prior to pregnancy is an important target for interventions and may reduce the likelihood of developing complications such as gestational hypertension during pregnancy.

Identification of Children's BMI Trajectories and Prediction from Weight Gain in Infancy

OBJECTIVE

The goal of this study was to identify patterns of BMI changes across childhood (ages 24 months to 13 years) and to assess whether demographic characteristics, birth weight, and percent infant weight gain from birth to 15 months predicted BMI patterns.

METHODS

Eleven waves of data from the Study of Early Child Care and Youth Development were used. Trained technicians assessed children's weight at birth and 10 times from 15 months to eighth grade (N = 1364). Latent growth modeling was used to estimate BMI change trajectories, and logistic regression was used to predict membership in trajectory classes.

RESULTS

Children in the high-rising and low-to-high BMI patterns had the highest BMI of all trajectory groups during middle childhood. Birth weight and infant weight gain were stronger predictors of trajectory membership than gender or race/ethnicity. Infant weight gain predicted high-rising membership over and above the effect of birth weight. African American children had lower birth weight, faster infant weight increase, and higher odds of being in one of the rising trajectories. Risk algorithms are provided.

CONCLUSIONS

Clinicians should monitor weight gain during infancy independent of birth weight. Researchers should continue investigating the lasting physiological effects of early rapid weight gain in infancy.

Association of Gestational Weight Gain with Prenatal Care Model

INTRODUCTION

The objective of this study was to compare gestational weight gain (GWG) among women in group and traditional prenatal care.

METHODS

This is a retrospective cohort study of women who received prenatal care between 2011 and 2015 in a setting in which low-risk women had the option of group prenatal care. Women with height and initial and final weight were eligible. Women who chose group prenatal care were compared with women who chose traditional prenatal care and gave birth during the same study period. A propensity score analysis was used to create a matched control group from women who received traditional prenatal care. Bivariable comparisons of demographics, maternal characteristics, and GWG as a categorical variable (inadequate, adequate, or excessive per the 2009 Institute of Medicine guidelines) were performed with chi-square or Wilcoxon rank-sum tests. A logistic regression analysis was performed to estimate the association of group prenatal care with excessive GWG.

RESULTS

The final sample included 818 women who received either group or traditional prenatal care and were matched according to age, body mass index (BMI), nulliparity, and marital status. In the unadjusted analysis, women in group prenatal care had lower odds of excessive GWG (odds ratio [OR], 0.75; 95% CI, 0.57-0.99), but the statistical significance of this finding did not persist in the adjusted analysis (OR, 0.77; 95% CI, 0.45-1.30). When the analyses were limited to women who had at least 5 group or traditional prenatal care visits, there were no differences in excessive GWG in unadjusted (OR, 0.83; 95% CI, 0.59-1.16) or adjusted (OR, 0.97; 95% CI, 0.24-3.96) analyses.

DISCUSSION

In this propensity score matched cohort study of predominantly Hispanic women, there were no differences in excessive GWG between women in group compared with traditional prenatal care. Further study is indicated to determine the relationship between prenatal care model and GWG outcomes.

Stress during pregnancy and gestational weight gain

OBJECTIVE

To evaluate the association between prenatal stress and gestational weight gain (GWG).

STUDY DESIGN

This was an analysis of women recruited between 2013-2015 from four sites in the US. We tested associations between responses at 32-35 weeks to the Life Experiences Survey (LES), a 37-item measure of events and perceived stress, and GWG categories. Bivariable comparisons and logistic regression were used to estimate the association between the total LES score and the odds of achieving adequate GWG.

RESULT

Among the 725 women, those with adequate GWG had lower median LES scores (5) compared to women with inadequate (7) and excessive (7) GWG, p = 0.02. After adjusting for age, initial BMI, income, education, marital status and gestational diabetes, lower LES scores (multiples of the median) were associated with adequate GWG (aOR 0.81, 95% CI 0.67-0.98).

CONCLUSION

Lower reported stress, as measured by the LES, was associated with a greater chance of women achieving adequate GWG. This relationship highlights the potential for interventions directed toward psychosocial support to have salutary effects upon GWG.

Improving Prenatal Care for Minority Women

Since the inception of prenatal care in the early 1900s, the focus of care has been on risk reduction rather than on health promotion. Prenatal care began as individualized care, but more recently group prenatal care has been shown to be very successful in improving birth outcomes. For all women, an emphasis on improving health behaviors is important at this critical time while women are engaging regularly with the healthcare system. An emphasis on mental health promotion may decrease some of the disparities in birth outcomes that are well documented between minority and majority women, as minority women are known to experience increased levels of stress, anxiety, and depression. Providing support for pregnant women and incorporating knowledge and skills through prenatal care may promote both physical and mental health in minority women.

Predictors and outcomes of excess gestational weight gain among low-income pregnant women

Low-income women were interviewed and their post-natal records were retrieved (n = 160) to assess prevalence of excess gestational weight gain and its socio-demographic predictors. More than half of the women (64%) gained excess weight during pregnancy, with an average of 10 lbs in excess of Institute of Medicine guidelines. Logistic regression indicated that women that started pregnancy at an obese body mass index; who were African American or having an unplanned pregnancy were at significant risk of gaining excess weight in pregnancy. Intervention to prevent excess weight gain during pregnancy is critical in addressing obesity epidemic in the United States and worldwide.

Psychosocial predictors of gestational weight gain and the role of mindfulness

OBJECTIVE

To identify the psychosocial factors (i.e., stress, anxiety, depression, social support) that are associated with gestational weight gain (GWG) and the relationship of mindfulness with GWG during each trimester of pregnancy.

DESIGN

In this cross-sectional study, an online survey that assessed physical and mental health and wellness practices was administered to pregnant women.

PARTICIPANTS

Pregnant women ≥8 weeks gestation, ≥18 years old, and could read and write in English.

MEASUREMENT AND FINDINGS

Women who responded to the survey (N=1,073) were on average 28.7±4.6 years old. Findings from a regression analysis suggest that increased levels of depression may be predictive of increased GWG in the second trimester and decreased levels of mindfulness may be predictive of increased GWG in the first trimester. Anxiety, stress, and overall social support were not associated with GWG in any trimester.

KEY CONCLUSIONS

Mindfulness-based strategies (e.g., yoga) may have the potential to manage both depression and excessive GWG and may beneficial for and preferred by pregnant women. More research is warranted to determine clear relationships between psychosocial health, mindfulness, and GWG.

IMPLICATIONS FOR PRACTICE

Health care providers are encouraged to screen for depression in early pregnancy (i.e., first or second trimester) and provide resources to manage symptoms of depression and GWG to promote optimal birth outcomes. Health care providers may want to counsel patients on how to manage depression and/or GWG by suggesting mindfulness-based approaches.

Influence of the 5A's Counseling Strategy on Weight Gain During Pregnancy: An Observational Study

BACKGROUND

Healthy weight gain during pregnancy may improve health outcomes for women and infants. The objective of this study was to examine providers' use of the 5A's (Assess, Advise, Agree, Assist, and Arrange) in discussions of weight, nutrition, and physical activity during prenatal visits and evaluate the effect of this approach on gestational weight gain.

MATERIALS AND METHODS

We studied audio recordings of prenatal visits between 22 obstetrics providers and 120 of their patients, coding visits for providers' use of the 5A's. The relationship between the 5A's and gestational weight gain (total weight gain and excess gestational weight gain) was evaluated using multilevel models to account for patient clustering within provider, and adjusted for prepregnancy body mass index, parent study intervention assignment, gestational age at the study visit, and study visit length.

RESULTS

Overall, 55% of prenatal visits included any weight-related behavioral counseling. Of these, 59.1% included one of the 5A's and 40.9% included two or more of the 5A's. Counseling conversations most commonly included Assess or Advise (49% and 85% of counseling conversations, respectively). No recorded visits used all 5A's. In adjusted analyses, patients who received counseling with two or more of the 5A's gained an average of 11.8 fewer pounds than patients who received no counseling (p = 0.001). The odds of excess gestational weight gain were lower among women receiving counseling with at least one of the 5A's (p < 0.05).

CONCLUSIONS

The 5A's were associated with lower gestational weight gain and may be a promising counseling strategy to promote healthy weight gain during pregnancy.

Association Between Health Beliefs and Gestational Weight Gain

BACKGROUND

The Institute of Medicine (IOM) provides recommendations for optimal weight gain during pregnancy to minimize complications associated with obesity and excessive weight gain. The Health Belief Model and prior research suggest knowledge of health recommendations and associated risks motivate health behaviors. This study determined whether knowledge of maternal and infant obesity risks during pregnancy (ORDP) and knowledge of IOM gestational weight gain (GWG) recommendations were associated with total GWG and likelihood of adhering to IOM recommendations.

MATERIALS AND METHODS

In this prospective survey study, healthy women with a singleton pregnancy were recruited from prenatal clinic waiting rooms of a university medical center to complete a one-time survey of prepregnancy weight and height, demographic variables, knowledge of infant-related ORDP (e.g., large for gestational age), knowledge of maternal-related ORDP (e.g., Cesarean delivery), and knowledge of IOM GWG recommendations. Total GWG was obtained from clinic medical records. Logistic and multiple regression analyses were performed.

RESULTS

The sample consisted of 159 women with average age of 25 and prepregnancy body mass index of 28. Women in the sample were predominantly African American (57%) and from low socioeconomic conditions. Results showed (1) knowledge of GWG recommendations was inversely related to total GWG among normal and underweight women and (2) knowledge of infant-related ORDP was positively related to total GWG among overweight and obese women and the likelihood of exceeding recommendations among normal and underweight women. Knowledge of maternal-related ORDP was not related to GWG.

CONCLUSION

As the Health Belief Model suggests, knowledge appears to be a modifiable factor in preventing excess GWG. However, there may be misinformation regarding how to adhere to clinical recommendations.

Prevalence and predictors of early gestational weight gain associated with obesity risk in a diverse Australian antenatal population: a cross-sectional study

Background

Excess gestational weight gain (GWG) leads to adverse short- and long-term consequences for women and their offspring. Evidence suggests that excess GWG in early pregnancy may be particularly detrimental, contributing to the intergenerational cycle of obesity. The primary outcome was to investigate the prevalence and predictors of excess GWG in early pregnancy, and if women understand the risks to themselves and their offspring stratified by maternal body mass index (BMI).

Methods

This was a secondary analysis (n = 2131) of a cross-sectional study (n = 2338) conducted over 6 months in 2015 of pregnant women attending antenatal clinics at four maternity hospitals across Sydney, Australia before 22 completed weeks gestation An self-completed questionnaire was used to investigate knowledge of expected weight gain in pregnancy, understanding of risks associated with excess GWG, self-reported anthropometric measures and socio-demographic data.

Results

One third (34.2%) of women gained weight in excess of the recommendations by 22 completed weeks gestation. Women who were overweight (OR: 1.69, 95% CI: 1.33–2.14) or obese (OR: 1.64, 95% CI: 1.20–2.24) pre-pregnancy were more likely to gain excess weight in early pregnancy compared to normal weight women; as were women from lower socio-economic areas (OR: 1.89, 95% CI: 1.49–2.41). Half (51%) the women were unsure about the effect of excess GWG on their baby; 11% did not believe that excess GWG would affect the weight of the baby and 14% did not believe that excess GWG would affect longer term outcomes for their baby. Women who gained weight above the recommendations were significantly more likely to believe that excessive GWG in pregnancy would not have any adverse future effect on health outcomes or weight of their baby.

Conclusions

The women at particular risk of excess early GWG are those who are overweight and obese and/or residing in lower socio-economic areas. These women need to be targeted for appropriate counselling preconception or in early pregnancy. Given the significant adverse outcomes associated with excess GWG in early pregnancy, preconception or early pregnancy counselling with respect to GWG and intervention research regarding best approach remains a public health priority.

Electronic supplementary material

The online version of this article (10.1186/s12884-017-1482-6) contains supplementary material, which is available to authorized users.

Where Do Women Get Advice About Weight, Eating, and Physical Activity During Pregnancy?

BACKGROUND

Most women report not receiving information about gestational weight gain (GWG) from prenatal providers, but less is known about other sources of information and their potential impacts on GWG. The purpose of this study was to investigate sources of information about diet, physical activity, and weight control during pregnancy, and the impact of information sources on maternal GWG.

MATERIALS AND METHODS

Participants were 183 women with normal weight and 172 women with overweight/obesity who had enrolled in a prenatal lifestyle intervention trial. At 6 weeks postpartum, women were asked whether they had received information about "diet, physical activity, or weight control" from 12 sources uninvolved in the trial (e.g., physician, Internet, and friend) and, if received, the extent to which they followed the advice. Information sources were examined in relation to odds of exceeding Institute of Medicine (IOM) GWG guidelines based on measured weights.

RESULTS

Most women reported receiving information from a book (60.6%) or the Internet (58.3%). Advice from physicians, dietitians, or nurses was reported in 55.6%, 48.2%, and 33.9% of women, respectively. Reported receipt of information from physicians was associated with reduced Odds Ratio ([95% Confidence Interval] = 0.55 [0.35-0.88]; p = 0.01) of exceeding IOM GWG guidelines. Reported receipt of information from other sources was not related to GWG.

CONCLUSIONS

Books and the Internet were the most prevalent information sources reported for prenatal diet, physical activity, and weight control. However, of all sources, only physician provision of information was associated with reduced odds of excessive GWG.

Maternal excess gestational weight gain and infant waist circumference: a 2-y observational study

BACKGROUND

The purpose of this study was to examine the effects of gestational weight gain (GWG) and infant feeding practices on infant growth parameters in infants from 6 to 24 mo of age.

METHODS

Forty mother-infant pairs were recruited after delivery and followed up to 24 mo postpartum. GWG was calculated as prepregnancy weight subtracted from weight at delivery. Infant weight velocity was calculated as the change in weight between consecutive visits divided by the intervening time. Infant feeding practices were measured by interview and infant growth and waist circumference by standard anthropometry.

RESULTS

Infants born to mothers with excess GWG were heavier at birth (3,521 ± 91 vs. 3,196 ± 97 g, P = 0.02) and had an average 2.16 ± 1.1 cm (P = 0.03) larger waist circumference throughout the 24 mo compared with infants born to mothers with appropriate GWG. Waist circumference increased by 0.12 and 2.0 cm for every 1 unit increase in GWG and infant birth weight.

CONCLUSION

Infants born to women who exceeded the Institute of Medicine (IOM)-recommended guidelines for GWG were heavier at birth and had a significantly higher waist circumference up to 2 y of age. Strategies to control maternal excess GWG and thus the outcome on infant birth weight and waist circumference should be pursued.

Living in Violent Neighbourhoods is Associated with Gestational Weight Gain Outside the Recommended Range

BACKGROUND

During pregnancy, most women do not meet gestational weight gain (GWG) guidelines, potentially resulting in adverse maternal and infant health consequences. Social environment determinants of GWG have been identified, but evidence on the relationship between neighbourhood violence and GWG is scant. Our study aims to examine the relationship between neighbourhood violence and GWG outside the recommended range.

METHODS

We used statewide vital statistics and health care utilization data from California for 2006-12 (n = 2 364 793) to examine the relationship of neighbourhood violence (quarters of zip-code rates of homicide and assault) in the first 37 weeks of pregnancy with GWG (categorized using the Institute of Medicine's pregnancy weight gain guidelines). We estimated risk ratios (RR) and marginal risk differences, and analyses were stratified by maternal race/ethnicity and prepregnancy body mass index.

RESULTS

Residence in neighbourhoods with the highest quartile of violence was associated with more excessive GWG (adjusted RR 1.04, 95% confidence interval CI 1.03, 1.05), compared to the lowest quartile of violence; violence was not associated with inadequate GWG. On the difference scale, this association translates to 2.3% more women gaining weight excessively rather than adequately if all women were exposed to high violence compared to if all women were exposed to low violence. Additionally, associations between neighbourhood violence and excessive GWG were larger in non-white women than in white women.

CONCLUSIONS

These findings support the hypothesis that violence can affect weight gain during pregnancy, emphasizing the importance of neighbourhood violence as a public health issue.

Consequences and Possible Predictors of Health-damaging Behaviors and Mental Health Problems in Pregnancy - A Review

In recent decades, the understanding of the short and longer term effects of health-damaging behaviors and mental health problems in pregnant women and the underlying mechanisms of these behaviors and illnesses has significantly increased. In contrast, little is known about the factors affecting individual pregnant women which contribute to health-damaging behaviors and mental illness. The aim of this paper was therefore to summarize the current state of research into the consequences of nicotine and alcohol consumption, malnutrition, excessive weight gain or obesity, and impaired mental health (depression and anxiety) during pregnancy. In addition, the characteristics of pregnant women which increase their risk of developing such behaviors or mental disorders are described. A better knowledge of these risks should make it easier for clinicians to identify cases at risk early on and put measures of support in place. A review of the literature has shown that certain characteristics of pregnant women (e.g. her relationship with her partner, a previous history of mental illness prior to pregnancy) are associated with various health-damaging behaviors as well as with impaired mental health. Affected women often show an accumulated psychosocial stress which was already present prior to the pregnancy and which may persist even after the birth of the child.

Suboptimal maternal diets alter mu opioid receptor and dopamine type 1 receptor binding but exert no effect on dopamine transporters in the offspring brain

Birthweight is a marker for suboptimal fetal growth and development in utero. Offspring can be born large for gestational age (LGA), which is linked to maternal obesity or excessive gestational weight gain, as well as small for gestational age (SGA), arising from nutrient or calorie deficiency, placental dysfunction, or other maternal conditions (hypertension, infection). In humans, LGA and SGA babies are at an increased risk for certain neurodevelopmental disorders, including Attention Deficit/Hyperactivity Disorder, schizophrenia, and social and mood disorders. Using mouse models of LGA (maternal high fat (HF) diet) and SGA (maternal low protein (LP) diet) offspring, our lab has previously shown that these offspring display alterations in the expression of mesocorticolimbic genes that regulate dopamine and opioid function, thus indicating that these brain regions and neurotransmitter systems are vulnerable to gestational insults. Interestingly, these two maternal diets affected dopamine and opioid systems in somewhat opposing directions (e.g., LP offspring are generally hyperdopaminergic with reduced opioid expression, and the reverse is found for the HF offspring). These data largely involved evaluation at the transcriptional level, so the present experiment was designed to extend these analyses through an assessment of receptor binding. In this study, control, SGA and LGA offspring were generated from dams fed control, low protein or high fat diet, respectively, throughout pregnancy and lactation. At weaning, mice were placed on the control diet and sacrificed at 12 weeks of age. In vitro autoradiography was used to measure mu-opioid receptor (MOR), dopamine type 1 receptor (D1R), and dopamine transporter (DAT) binding level in mesolimbic brain regions. Results showed that the LP offspring (males and females) had significantly higher MOR and D1R binding than the control animals in the regions associated with reward. In HF offspring there were no differences in MOR binding, and limited increases in D1R binding, seen only in females in the nucleus accumbens core and the dorsomedial caudate/putamen. DAT binding revealed no differences in either models. In conclusion, LP but not HF offspring show significantly elevated MOR and D1R binding in the brain thus affecting DA and opioid signaling. These findings advance the current understanding of how suboptimal gestational diets can adversely impact neurodevelopment and increase the risk for disorders such as ADHD, obesity and addiction.

Predictors of Gestational Weight Gain among White and Latina Women and Associations with Birth Weight

This study examined racial/ethnic differences in gestational weight gain (GWG) predictors and association of first-trimester GWG to overall GWG among 271 White women and 300 Latina women. Rates of within-guideline GWG were higher among Latinas than among Whites (28.7% versus 24.4%, p < 0.016). Adjusted odds of above-guideline GWG were higher among prepregnancy overweight (OR = 3.4, CI = 1.8-6.5) and obese (OR = 4.5, CI = 2.3-9.0) women than among healthy weight women and among women with above-guideline first-trimester GWG than among those with within-guideline first-trimester GWG (OR = 4.9, CI = 2.8-8.8). GWG was positively associated with neonate birth size (p < 0.001). Interventions targeting prepregnancy overweight or obese women and those with excessive first-trimester GWG are needed.