The influence of socioeconomic status on gestational weight gain: a systematic review

Pregnant women's dietary patterns and knowledge of gestational weight gain: A cross-sectional study

OBJECTIVE

Excess gestational weight gain (GWG) is a risk factor for various unfavorable maternal and neonatal outcomes that may be preventable. Maintaining a healthy lifestyle while pregnant can help prevent uncontrollable weight gain. The aim of this study was to assess pregnant women's knowledge on weight, GWG, diet, and knowledge of obesity-related complications among women who seek care at our semi-urban, regional setting.

METHODS

A prospective observational study was conducted at the prenatal clinic at Kalafong Academic Hospital. Prospective participants completed a questionnaire on their perception of GWG, attitudes toward GWG, knowledge of GWG, associated complications of obesity, and food choices. Data analysis was performed using SAS version 9.4.

RESULTS

The majority of the 500 individuals were overweight or obese prior to pregnancy. By the end of the third trimester, this increased by 10.1% (n = 420; 86.1%). Nearly half (n = 240; 48.78%) of the overweight and obese women underestimated their weight. Only 26.53% (n = 26) of women who checked their body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) gained weight according to recommendations. However, less than half (n = 96; 30.5%) gained weight within the recommended range, despite the fact that the majority of them (n = 315; 64%) were aware of the harmful effects of obesity on the cardiovascular system and the effects of high calories on weight gain (n = 321; 65%).

CONCLUSION

Despite basic knowledge of the impact of high-caloric intake on weight gain and cardiovascular complications, less than half of the study population gained weight within the recommended range.

Mediating role of gestational weight gain in the relationship between socioeconomic status and preterm birth: a Chinese population-based study

BACKGROUND

The modifiable mechanisms underlying the association between socioeconomic status (SES) and preterm birth remain unclear. This study aimed to investigate the relationship between preterm birth and maternal SES or gestational weight gain (GWG), as well as the role of GWG in mediating SES disparities in preterm birth.

METHODS

Data was from a hospital-based sub-study of physical growth and development survey for Chinese newborns with various gestational ages. Singleton newborns aged from 24 to 42weeks' gestation and their mothers were included. Using information from maternal questionnaire, a composite SES was constructed with parental education and family annual income. GWG as mediator was calculated by deducting pre-pregnancy weight from maternal weight at delivery. Logistic regression model was adopted to investigate the association of preterm birth with SES or GWG. Causal mediation analysis was performed to measure mediating effect of GWG on the pathway from SES to preterm birth.

RESULTS

After controlling for potential confounders, risk of preterm birth was reduced by 12.4% (OR = 0.876, 95%CI:0.855-0.879) for per one-kilogram increase of GWG, and risk of preterm birth was reduced by 24% (OR = 0.760, 95%CI: 0.717-0.806) for per one-unit increase of SES score. Mediation analysis supported a significant association between higher SES and decreased risk of preterm partly through higher GWG, in which estimated proportion mediated by GWG was 13.04% (95%CI: 11.89-16.25). GWG also played a significant role as a mediator when socioeconomic status was indicated by maternal education, paternal education or family income. GWG mediated approximately 11.03% (95% CI: 8.56-18.25) of the total effect of SES on very preterm birth, which was greater than that for moderate preterm birth (6.72%, 95%CI: 2.72-31.52) and late preterm birth (9.04%, 95%CI: 5.24-24.04). A series of sensitive analysis confirmed the robustness of association of interest.

CONCLUSION

Increased GWG and higher socioeconomic status are strongly associated with a lower risk of preterm birth. GWG mediates socioeconomic disparities in preterm birth, most notably in very preterm birth. Understanding this mechanism will aid in the development of interventions and policy for maternal and child health care.

Health System and Individual Barriers to Supporting Healthy Gestational Weight Gain and Nutrition: A Qualitative Study of the Experiences of Midwives and Obstetricians in Publicly Funded Antenatal Care in Tasmania, Australia

Individual and health system barriers can impede clinicians from supporting weight-related behaviour change for pregnant women, particularly in publicly funded antenatal care accessed by women from diverse socioeconomic backgrounds. The aim was to understand clinicians' experiences of supporting healthy gestational weight gain for pregnant women in a publicly funded antenatal setting. The work was undertaken to guide the implementation of systems changes, resource development, and workforce capacity building related to nutrition, physical activity, and gestational weight gain in the service. The qualitative descriptive study used purposive sampling and semi-structured interviews conducted between October 2019 and February 2020. Nine midwives and five obstetricians from a publicly funded hospital antenatal service in Tasmania, Australia participated. Interview transcripts were analysed using inductive thematic analysis. The three dominant themes were prioritising immediate needs, continuity of care support weight-related conversations, and limited service capacity for weight- and nutrition-related support. The subthemes were different practices for women according to weight and the need for appropriately tailored resources. Improving access to continuity of care and clinician training, and providing resources that appropriately consider women's socioeconomic circumstances and health literacy would enhance the ability and opportunities for clinicians to better support all women.

Receiving gestational weight gain recommendations and associated risks: A qualitative study among low-income women

Appropriate weight gain goals promote healthy gestational weight gain (GWG). Despite receiving recommendations from their providers, most women do not know how much weight they should gain during pregnancy. This study sought to describe the experiences of pregnant women when given GWG recommendations. The research proceeded using a phenomenological approach. With Institutional Review Board approval, primigravida women with a healthy singleton pregnancy at 8-20 weeks gestation were recruited from the community and purposively from a low-income obstetrics clinic. Within 60-minutes, trained interviewers 1) presented GWG recommendations and associated risks; and 2) interviewed participants using a semi-structured guide. Participants received a $40 gift card. Interviews were recorded and transcribed. Two trained coders used Braun and Clarke's (2020) reflexive thematic analysis procedures. When presented with GWG information, participants (n = 29, Mage = 25.5, 4.7 SD) proceeded to: 1) make sense of the information, 2) evaluate the credibility of the information, 3) weigh the importance of the information, 4) predict likely outcomes, and 5) plan behaviors. Participants who were able to understand the information, found it to be credible and important, and who predicted adverse outcomes for failing to adhere to recommendations reported intentions for health promoting behaviors. Future research should test GWG counseling methods based on these cognitive processes. Clinicians should consider these 5 cognitive processes when providing initial GWG counseling.

Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review

BACKGROUND

Overadjustment bias occurs when researchers adjust for an explanatory variable on the causal pathway from exposure to outcome, which leads to biased estimates of the causal effect of the exposure. This meta-research review aimed to examine how previous systematic reviews and meta-analyses of socio-economic inequalities in health have managed overadjustment bias.

METHODS

We searched Medline and Embase until 16 April 2021 for systematic reviews and meta-analyses of observational studies on associations between individual-level socio-economic position and health outcomes in any population. A set of criteria were developed to examine methodological approaches to overadjustment bias adopted by included reviews (rated Yes/No/Somewhat/Unclear).

RESULTS

Eighty-four reviews were eligible (47 systematic reviews, 37 meta-analyses). Regarding approaches to overadjustment, whereas 73% of the 84 reviews were rated as Yes for clearly defining exposures and outcomes, all other approaches were rated as Yes for <55% of reviews; for instance, 5% clearly defined confounders and mediators, 2% constructed causal diagrams and 35% reported adjusted variables for included studies. Whereas only 2% included overadjustment in risk of bias assessment, 54% included confounding. Of the 37 meta-analyses, 16% conducted sensitivity analyses related to overadjustment.

CONCLUSIONS

Our findings suggest that overadjustment bias has received insufficient consideration in systematic reviews and meta-analyses of socio-economic inequalities in health. This is a critical issue given that overadjustment bias is likely to result in biased estimates of health inequalities and accurate estimates are needed to inform public health interventions. There is a need to highlight overadjustment bias in review guidelines.

App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review

BACKGROUND

Excessive gestational weight gain (GWG) and gestational diabetes mellitus (GDM) are common pregnancy complications that have been shown to be preventable through the use of lifestyle interventions. However, a significant gap exists between research on pregnancy lifestyle interventions and translation into clinical practice. App-supported interventions might aid in overcoming previous implementation barriers. The current status in this emerging research area is unknown.

OBJECTIVE

This scoping review aims to provide a comprehensive overview of planned, ongoing, and completed studies on eHealth and mobile health (mHealth) app-supported lifestyle interventions in pregnancy to manage GWG and prevent GDM. The review assesses the scope of the literature in the field; describes the population, intervention, control, outcomes, and study design (PICOS) characteristics of included studies as well as the findings on GWG and GDM outcomes; and examines app functionalities.

METHODS

The scoping review was conducted according to a preregistered protocol and followed established frameworks. Four electronic databases and 2 clinical trial registers were systematically searched. All randomized and quasi-randomized controlled trials (RCTs) of app-supported lifestyle interventions in pregnancy and related qualitative and quantitative research across the different study phases were considered for inclusion. Eligible studies and reports of studies were included until June 2022. Extracted data were compiled in descriptive analyses and reported in narrative, tabular, and graphical formats.

RESULTS

This review included 97 reports from 43 lifestyle intervention studies. The number of published reports has steadily increased in recent years; of the 97 included reports, 38 (39%) were trial register entries. Of the 39 identified RCTs, 10 efficacy or effectiveness trials and 8 pilot trials had published results on GWG (18/39, 46%); of these 18 trials, 7 (39%) trials observed significant intervention effects on GWG outcomes. Of all 39 RCTs, 5 (13%) efficacy or effectiveness trials reported GDM results, but none observed significant intervention effects on GDM. The RCTs included in the review were heterogeneous in terms of their PICOS characteristics. Most of the RCTs were conducted in high-income countries, included women with overweight or obesity and from all BMI categories, delivered multicomponent interventions, delivered interventions during pregnancy only, and focused on diet and physical activity. The apps used in the studies were mostly mHealth apps that included features for self-monitoring, feedback, goal setting, prompts, and educational content. Self-monitoring was often supported by wearable activity monitors and Bluetooth-connected weight scales.

CONCLUSIONS

Research in this field is nascent, and the effectiveness and implementability of app-supported interventions have yet to be determined. The complexity and heterogeneity of intervention approaches pose challenges in identifying the most beneficial app features and intervention components and call for consistent and comprehensive intervention and outcome reporting.

Breastfeeding moderates childhood obesity risk associated with prenatal exposure to excessive gestational weight gain

Gaining excessive gestational weight may increase obesity risk in the offspring, while breastfeeding lowers that risk. Using data from the Special Supplemental Nutrition Programme for Women, Infants and Children (WIC) in Southern California, we examined the associations between gestational weight gain (GWG), breastfeeding during infancy and childhood obesity at 2-4 years, and determined whether breastfeeding moderated the association between GWG and childhood obesity. GWG was based on weight measurements collected during the first trimester and within a month before delivery. GWG values were standardized by gestational age (GWG z-scores), per maternal prepregnancy body mass index (BMI) and categorized into tertiles. Fully breastfeeding duration was determined by WIC infant package data indicating the amount of infant formula received monthly. Children's length (or height) and weight measurements were used to calculate BMI-for-age z-scores and identify obesity (z-score ≥ 95th percentile). Multivariable linear and modified Poisson regression analyses were conducted. Fully breastfeeding moderated the association between GWG z-scores tertile and obesity in the offspring. Each additional month of fully breastfeeding was associated with 3%-5% obesity risk reduction for each age group and GWG z-scores tertile, except at age 4 years for children whose mothers had low GWG z-scores (tertile 1). Shorter fully breastfeeding duration was associated with greater obesity risk among children of mothers with high GWG z-scores (tertile 3), but not for those whose mothers had low GWG z-scores. Longer fully breastfeeding duration may provide greater protection against obesity among children at higher risk due to intrauterine exposure to high gestational weight gain.

Influence of parental anthropometry and gestational weight gain on intrauterine growth and neonatal outcomes: Findings from the MAI cohort study in rural India

Poor foetal growth and subsequent low birth weight are associated with an increased risk for disease later in life. Identifying parental factors that determine foetal growth are important to curbing intergenerational malnutrition, especially among disadvantaged populations in the global south where undernutrition rates are high. The objective of this study was to assess the relationships between parental biometry, intrauterine growth and neonatal outcomes, while factoring in socioeconomic status of historically disadvantaged households in rural India. Using data from the prospective longitudinal cohort, pregnant women from rural Pune, India (n = 134) were assessed between August 2020 and November 2022. Data on socio-demography, ultrasound measurements, parental and foetal anthropometry were collected. Multiple linear regression models were run to predict determinants of foetal intrauterine and neonatal growth (p value<0.05). The dependent variables were ultrasound measurements and neonatal biometry, and independent variables were gestational weight gain, parental and mid-parental height. Mean(±SD) maternal age, maternal height, paternal height and mid-parental height were 22.8±3.7 years, 153.6±5.5cm, 165.9±6.5cm and 159.1±8.7cm, respectively. Pre-pregnancy body mass index and gestational weight gain was 20.5±4.0 kg/m2 and 9.8±3.7kg respectively. Mid-parental height and gestational weight gain were strongly correlated with neonatal growth and foetal intrauterine growth (p<0.05); however, the correlation peaked at 28 weeks of gestation (p<0.05). Gestational weight gain (B = 28.7, p = 0.001) and mid-parental height (B = 14.3, p = 0.001) were identified as strong determinants of foetal-intrauterine growth and neonatal anthropometry at birth. Maternal height was found to influence length of male neonate (B = 0.18, p = 0.001), whereas, paternal height influenced length of the female neonate (B = 0.11, p = 0.01). Parental socio-economic status, biometry and maternal gestational weight gain influence growth of the child starting from the intrauterine period. Our study underlines the need for interventions during pre-pregnancy, as well as during pregnancy, for optimal weight gain and improved foetal and neonatal outcomes.

I-PREGNO - prevention of unhealthy weight gain and psychosocial stress in families during pregnancy and postpartum using an mHealth enhanced intervention: a study protocol of two cluster randomized controlled trials

BACKGROUND

The transition to parenthood represents a critical life period with psychosocial, and behavioral changes and challenges for parents. This often increases stress and leads to unhealthy weight gain in families, especially in psychosocially burdened families. Although universal and selective prevention programs are offered to families, specific support often fails to reach psychosocially burdened families. Digital technologies are a chance to overcome this problem by enabling a low-threshold access for parents in need. However, there is currently a lack of smartphone-based interventions that are tailored to the needs of psychosocially burdened families.

AIMS

The research project I-PREGNO aims to develop and evaluate a self-guided, smartphone-based intervention in combination with face-to-face counseling delivered by healthcare professionals for the prevention of unhealthy weight gain and psychosocial problems. The intervention is specifically tailored to the needs of psychosocially burdened families during the pregnancy and postpartum period.

METHODS

In two cluster randomized controlled trials in Germany and Austria (N = 400) psychosocially burdened families will be recruited and randomized to i) treatment as usual (TAU), or ii) I-PREGNO intervention (self-guided I-PREGNO app with counseling sessions) and TAU. We expect higher acceptance and better outcomes on parental weight gain and psychosocial stress in the intervention group.

DISCUSSION

The intervention offers a low cost and low-threshold intervention and considers the life situation of psychosocially burdened families who are a neglected group in traditional prevention programs. After positive evaluation, the intervention may easily be implemented in existing perinatal care structures in European countries such as Germany and Austria.

TRIAL REGISTRATION

Both trials were registered prospectively at the German Clinical Trials Register (Germany: DRKS00029673; Austria: DRKS00029934) in July and August 2022.

Pregnant Women's Perception and Knowledge of the Impact of Obesity on Prenatal Outcomes-A Cross-Sectional Study

The prevalence of obesity and overweight has been rapidly increasing and is significantly higher among adult females in the Arab States. The aim of the present study was to explore pregnant Emirati women's perception of their weight, their knowledge of the healthy gestational weight gain, and the possible weight-related pregnancy complications. A total of 526 self-administered questionnaires were obtained with a response rate of 72%. The majority (81.8%, n = 429) entered pregnancy as overweight or obese. The percentage of pregnant women who underestimated their weight category was 12.1% in normal weight participants, 48.9% in overweight participants, and 73.5% in obese participants (p < 0.001). The overweight and obese participants were 13 times more likely to underestimate their weight status and 3.6 times more likely to correctly select their healthy gestational weight gain. Women's awareness of pregnancy-related complications due to weight varied from 80.3% for diabetes to 44.5% for fetal complications; their awareness of breastfeeding difficulty was the lowest at 2.5%. Moreover, there was a misconception about personal BMI and the appropriate range for gestational weight gain (GWG). Healthy lifestyle counselling urgently needs to be addressed in preventative health programs such as pre-marital and preconception counselling.

The association between food desert severity, socioeconomic status, and metabolic state during pregnancy in a prospective longitudinal cohort

Poor metabolic health during pregnancy is associated with health concerns for pregnant individuals and their offspring. Lower socioeconomic status (SES) is one risk factor for poor metabolic health, and may be related to limited access to healthful and affordable foods (e.g., living in a food desert). This study evaluates the respective contributions of SES and food desert severity on metabolic health during pregnancy. The food desert severity of 302 pregnant individuals was determined using the United States Department of Agriculture Food Access Research Atlas. SES was measured using total household income adjusted for household size, years of education, and amount of reserve savings. Information about participants' glucose concentrations one hour following an oral glucose tolerance test during the second trimester was extracted from medical records and percent adiposity during the second trimester was assessed using air displacement plethysmography. Information about participants' nutritional intake during the second trimester was obtained by trained nutritionists via three unannounced 24-h dietary recalls. Structural equation models showed that lower SES predicted higher food desert severity (β = - 0.20, p = 0.008) and higher adiposity (β = - 0.27, p = 0.016) and consumption of a more pro-inflammatory diet (β = - 0.25, p = 0.003) during the second trimester of pregnancy. Higher food desert severity also predicted higher percent adiposity during the second trimester (β = 0.17, p = 0.013). Food desert severity significantly mediated the relationship between lower SES and higher percent adiposity during the second trimester (βindirect = - 0.03, 95% CI [- 0.079, - 0.004]). These findings indicate that access to healthful and affordable foods is a mechanism by which SES contributes to adiposity during pregnancy and may inform interventions intended to improve metabolic health during pregnancy.

Development and validation of a screening questionnaire for early identification of pregnant women at risk for excessive gestational weight gain

BACKGROUND

Excessive weight gain during pregnancy is associated with adverse health outcomes for mother and child. Intervention strategies to prevent excessive gestational weight gain (GWG) should consider women's individual risk profile, however, no tool exists for identifying women at risk at an early stage. The aim of the present study was to develop and validate a screening questionnaire based on early risk factors for excessive GWG.

METHODS

The cohort from the German "Gesund leben in der Schwangerschaft"/ "healthy living in pregnancy" (GeliS) trial was used to derive a risk score predicting excessive GWG. Sociodemographics, anthropometrics, smoking behaviour and mental health status were collected before week 12^th of gestation. GWG was calculated using the last and the first weight measured during routine antenatal care. The data were randomly split into development and validation datasets with an 80:20 ratio. Using the development dataset, a multivariate logistic regression model with stepwise backward elimination was performed to identify salient risk factors associated with excessive GWG. The β coefficients of the variables were translated into a score. The risk score was validated by an internal cross-validation and externally with data from the FeLIPO study (GeliS pilot study). The area under the receiver operating characteristic curve (AUC ROC) was used to estimate the predictive power of the score.

RESULTS

1790 women were included in the analysis, of whom 45.6% showed excessive GWG. High pre-pregnancy body mass index, intermediate educational level, being born in a foreign country, primiparity, smoking, and signs of depressive disorder were associated with the risk of excessive GWG and included in the screening questionnaire. The developed score varied from 0-15 and divided the women´s risk for excessive GWG into low (0-5), moderate (6-10) and high (11-15). The cross-validation and the external validation yielded a moderate predictive power with an AUC of 0.709 and 0.738, respectively.

CONCLUSIONS

Our screening questionnaire is a simple and valid tool to identify pregnant women at risk for excessive GWG at an early stage. It could be used in routine care to provide targeted primary prevention measures to women at particular risk to gain excessive gestational weight.

TRIAL REGISTRATION

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

Gestational weight gain in the REVAMP pregnancy cohort in Western India: Comparison with international and national references

Objective

To determine the trimester specific gestational weight gain (GWG) in a population of pregnant women from Western India and compare it with the Intergrowth-21st international and an Indian reference (GARBH-Ini cohort-Group for Advanced Research on BirtH outcomes).

Study design

A prospective longitudinal observational study was undertaken in Pune, West India and data for gestational weight gain was collected [the REVAMP study (Research Exploring Various Aspects and Mechanisms in Preeclampsia)]. Generalized Additive Models for Location, Scale and Shape method (GAMLSS model) were used to create GWG centile curves according to gestational age, stratified by BMI at recruitment (n = 640) and compared with Intergrowth-21st reference and GARBH-Ini cohort. Multivariable regression analysis was used to evaluate the relationship between GWG and antenatal risk factors.

Results

The median GWG was 1.68, 5.80, 7.06, and 11.56 kg at gestational ages 18, 26, 30, and 40 weeks, respectively. In our study, pregnant women gained less weight throughout pregnancy compared to Intergrowth-21st study, but more weight compared to the GARBH-Ini cohort centile curves in all the BMI categories. GWG in overweight/obese women (BMI ≥ 25) was significantly lower (<0.001) as compared to underweight (BMI < 18.5), or normal weight women (BMI ≥ 18.5 and <25). The median GWG at 40 weeks in underweight, normal and overweight/obese women was 13.18, 11.74, and 10.48 kg, respectively. Higher maternal BMI, older maternal age, higher parity and higher hemoglobin concentrations were associated with lower GWG, while taller maternal height was associated with greater GWG.

Conclusion

GWG of Indian women is lower than the prescriptive standards of the Intergrowth charts.

Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network

PURPOSE OF REVIEW

Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing.

RECENT FINDINGS

The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.

Association Between Early Pregnancy Body Mass Index and Gestational Weight Gain in Relation to Neonatal Birth Weight

Introduction: Maternal early pregnancy body mass index (BMI) and gestational weight gain (GWG) strongly correlate with pregnancy outcomes. Gestational hypertension and diabetes have been associated with overweight and obesity in pregnancy. A low pre-pregnancy BMI has been associated with low birth weight and preterm birth.

Method: This observational study was carried out from November 2018 to July 2020 in a tertiary care hospital in South India with a sample size of 100. Pregnant women with uncomplicated singleton pregnancies booked for regular antenatal care by 10 weeks of gestation were included in the study. During the participants' antenatal check-ups, detailed history and examinations were made. The weight of the participants was recorded at every antenatal check-up. Information about the gestational age at delivery and the birth weight of the neonates were collected following delivery.

Results: The mean age of women was 25.83 + 2.74 years. Of women who delivered low birth weight neonates (<2.5 kg), 86% had GWG below the Institute of Medicine (IOM) recommendation. A total of 57% of women with normal early pregnancy BMI and 67% of obese women had GWG within the IOM recommendation. Early pregnancy BMI had a positive correlation with neonatal birth weight (r (98) = 0.779, p = 0.001). Of the underweight pregnant women, 72% gave birth to small for gestational age (SGA) babies, and 97% percent of normal early pregnancy BMI women delivered neonates with normal weight for gestational age. A total of 33% of overweight and 50% of obese women had large for gestational age (LGA) babies.

Conclusion: Results from this study suggest that maternal early pregnancy BMI is more strongly associated with neonatal birth weight than GWG. Therefore, early pregnancy BMI may be an important focus for counseling during pregnancy.

The association between food insecurity and gestational weight gain: A systematic review and meta-analysis

Gestational weight gain has been one of the most important risk factors for adverse maternal, perinatal, and long-term outcomes. Our systematic review and meta-analysis aimed to incorporate the evidence regarding the association between gestational weight gain and food insecurity (FI). We performed a systematic review and meta-analysis on the possible association between FI and insufficient or excessive gestational weight gain by conducting a systematic search in PubMed, Scopus, ISI, and Google Scholar from January 1, 1990 until February 1, 2022. Odds Ratio (OR) was pooled using a random-effects model. Standard methods were used for the assessment of heterogeneity and publication bias. Data included fifteen studies with 7651 individual participants from different countries pooled for the meta-analysis. Of the fifteen studies included in the final meta-analysis, seven had a cross-sectional and eight had a longitudinal design. In the pooled analysis, FI had significant relationship with both inadequate (OR = 1.49; 95% CI = 1.26 to 1.76) and excessive weight gain in pregnancy (OR = 1.27; 95% CI = 1.05 to 1.54). In conclusion, FI during pregnancy was directly associated with both inadequate and excessive gestational weight gain. Therefore, changes at a policy level should be considered to increase food security in pregnant women.

Mediators of socioeconomic inequalities in preterm birth: a systematic review

BACKGROUND

Rates of preterm birth are substantial with significant inequalities. Understanding the role of risk factors on the pathway from maternal socioeconomic status (SES) to preterm birth can help inform interventions and policy. This study therefore aimed to identify mediators of the relationship between maternal SES and preterm birth, assess the strength of evidence, and evaluate the quality of methods used to assess mediation.

METHODS

Using Scopus, Medline OVID, "Medline In Process & Other Non-Indexed Citation", PsycINFO, and Social Science Citation Index (via Web of Science), search terms combined variations on mediation, socioeconomic status, and preterm birth. Citation and advanced Google searches supplemented this. Inclusion criteria guided screening and selection of observational studies Jan-2000 to July-2020. The metric extracted was the proportion of socioeconomic inequality in preterm birth explained by each mediator (e.g. 'proportion eliminated'). Included studies were narratively synthesised.

RESULTS

Of 22 studies included, over one-half used cohort design. Most studies had potential measurement bias for mediators, and only two studies fully adjusted for key confounders. Eighteen studies found significant socioeconomic inequalities in preterm birth. Studies assessed six groups of potential mediators: maternal smoking; maternal mental health; maternal physical health (including body mass index (BMI)); maternal lifestyle (including alcohol consumption); healthcare; and working and environmental conditions. There was high confidence of smoking during pregnancy (most frequently examined mediator) and maternal physical health mediating inequalities in preterm birth. Significant residual inequalities frequently remained. Difference-of-coefficients between models was the most common mediation analysis approach, only six studies assessed exposure-mediator interaction, and only two considered causal assumptions.

CONCLUSIONS

The substantial socioeconomic inequalities in preterm birth are only partly explained by six groups of mediators that have been studied, particularly maternal smoking in pregnancy. There is, however, a large residual direct effect of SES evident in most studies. Despite the mediation analysis approaches used limiting our ability to make causal inference, these findings highlight potential ways of intervening to reduce such inequalities. A focus on modifiable socioeconomic determinants, such as reducing poverty and educational inequality, is probably necessary to address inequalities in preterm birth, alongside action on mediating pathways.

Sociodemographic determinants of prepregnancy body mass index and gestational weight gain: The Mutaba'ah study

Objective

This study examined the associations of sociodemographic and lifestyle factors with prepregnancy body mass index (BMI) and gestational weight gain (GWG).

Methods

In the Mutaba'ah Study in the United Arab Emirates, repeated measurements throughout pregnancy from medical records were used to determine prepregnancy BMI and GWG. Associations of sociodemographic and lifestyle factors with prepregnancy BMI and GWG (separately by normal weight, overweight, and obesity status) were tested using multivariable regression models, adjusted for maternal age at delivery.

Results

Among 3536 pregnant participants, more than half had prepregnancy overweight (33.2%) or obesity (26.9%), and nearly three‐quarters had inadequate (34.2%) or excessive (38.2%) GWG. Higher parity (β for 1–2 to ≥5 children = 0.94 to 1.73 kg/m²), lower maternal education (β for tertiary = −1.42), infertility treatment (β = 0.69), and maternal prepregnancy active smoking (β = 1.95) were independently associated with higher prepregnancy BMI. Higher parity was associated with a lower risk for excessive GWG among women with prepregnancy normal weight (odds ratios (ORs) for 1–2 to ≥5 children = 0.61 to 0.39). Higher maternal education was negatively associated with inadequate GWG among women with normal weight and overweight (ORs for tertiary education = 0.75 and 0.69, respectively).

Conclusions

Sociodemographic factors, especially parity and maternal education, were differentially associated with prepregnancy BMI and GWG adequacy across weight status.

Effective psychological therapies to improve lifestyle behaviors in (pre)pregnant women: A systematic review

Poor lifestyle behaviors impact (pre)pregnant women by affecting pregnancy outcomes and offspring health. This systematic review provides an overview of psychological therapies to support lifestyle behavior changes among (pre)pregnant women.

Scientific databases were searched from their inception to 20 December 2020 for studies investigating the effects of psychological therapies on improvements in lifestyle behaviors.

Studies were eligible if they included (pre)pregnant women, examined the effects of a psychological therapy on at least one lifestyle behavior and used a control group receiving usual pregnancy care or a non-psychological intervention. Lifestyle behaviors of interest were dietary intake, physical activity, smoking, alcohol consumption, drug use, body weight loss and body weight gain during pregnancy. Pregnancy complications were included as outcome measures.

Motivational interviewing (MI) (n = 21), cognitive behavioral therapy (CBT) (n = 8), incentive-based contingency management (IBCM) (n = 9), mindfulness (n = 1) and hypnosis (n = 1) were investigated as lifestyle behavior interventions. The findings revealed that MI was effective in reducing (self-reported) smoking and alcohol consumption and restricting gestational weight gain (GWG). CBT was only studied as an intervention to restrict GWG and the results predominantly confirmed its effectiveness. IBCM showed the strongest effect on reducing smoking and substance use. The studies using hypnosis or mindfulness to reduce smoking or restrict GWG, respectively, showed no associations.

The use of psychological therapies to improve lifestyle behaviors among (pre)pregnant women is new and the scientific proof is promising. Before wide implementation is legitimated, more evidence is needed on the consequences of lifestyle change for pregnancy outcomes.

Explaining the Black-White Disparity in Preterm Birth: A Consensus Statement From a Multi-Disciplinary Scientific Work Group Convened by the March of Dimes

In 2017–2019, the March of Dimes convened a workgroup with biomedical, clinical, and epidemiologic expertise to review knowledge of the causes of the persistent Black-White disparity in preterm birth (PTB). Multiple databases were searched to identify hypothesized causes examined in peer-reviewed literature, 33 hypothesized causes were reviewed for whether they plausibly affect PTB and either occur more/less frequently and/or have a larger/smaller effect size among Black women vs. White women. While definitive proof is lacking for most potential causes, most are biologically plausible. No single downstream or midstream factor explains the disparity or its social patterning, however, many likely play limited roles, e.g., while genetic factors likely contribute to PTB, they explain at most a small fraction of the disparity. Research links most hypothesized midstream causes, including socioeconomic factors and stress, with the disparity through their influence on the hypothesized downstream factors. Socioeconomic factors alone cannot explain the disparity's social patterning. Chronic stress could affect PTB through neuroendocrine and immune mechanisms leading to inflammation and immune dysfunction, stress could alter a woman's microbiota, immune response to infection, chronic disease risks, and behaviors, and trigger epigenetic changes influencing PTB risk. As an upstream factor, racism in multiple forms has repeatedly been linked with the plausible midstream/downstream factors, including socioeconomic disadvantage, stress, and toxic exposures. Racism is the only factor identified that directly or indirectly could explain the racial disparities in the plausible midstream/downstream causes and the observed social patterning. Historical and contemporary systemic racism can explain the racial disparities in socioeconomic opportunities that differentially expose African Americans to lifelong financial stress and associated health-harming conditions. Segregation places Black women in stressful surroundings and exposes them to environmental hazards. Race-based discriminatory treatment is a pervasive stressor for Black women of all socioeconomic levels, considering both incidents and the constant vigilance needed to prepare oneself for potential incidents. Racism is a highly plausible, major upstream contributor to the Black-White disparity in PTB through multiple pathways and biological mechanisms. While much is unknown, existing knowledge and core values (equity, justice) support addressing racism in efforts to eliminate the racial disparity in PTB.

Inadequacy of gestational weight gain during high-risk pregnancies is not associated with household food insecurity

BACKGROUND

Inadequate gestational weight gain (GWG) is associated with adverse outcomes in maternal and child health and can be enhanced by social inequalities, such as lower education and household food insecurity (HFI). Women are more vulnerable to HFI, which has been associated with negative health effects for pregnant women during the prenatal and puerperal periods, particularly in regard to the aggravation of pregnancy risks. This study investigated the association between sociodemographic characteristics and HFI with respect to adequacy of total GWG among women with high-risk pregnancies.

METHODS

This was a prospective cohort study that evaluated the total GWG of 169 pregnant women. The women were seen at a public university hospital in the metropolitan region of Rio de Janeiro (Brazil). Their sociodemographic and gestational characteristics and the Brazilian Scale of Domestic Food Insecurity were investigated. To estimate the total GWG, the difference between the patient weight at the last prenatal visit and the initial patient weight was verified, with both collected from the medical records of the pregnant women. The classification of the total GWG considered the recommendations of the Institute of Medicine (IOM) (2009). A multinomial logistic regression model assessed the risk (odds ratio; OR) and confidence intervals (CI 95%)) of insufficient and excessive GWG with exposure to HFI and other covariates (p value <0.05).

RESULTS

Insufficient and excessive GWG were observed in 27.8% and 47.9% of the pregnant women, respectively. More than half of the women (74.6%) had a high education level. Exposure to mild HFI occurred in 44.2% of the women. After adjustment, the HFI was not associated with insufficient or excessive GWG. The educational level of women was the only variable significantly associated with a lower risk of GWG insufficiency (OR: 0.10; 95% CI: 0.01-0.89).

CONCLUSIONS

In this population, higher maternal education was a protective factor against insufficient GWG. We highlight the importance of additional health support and counseling for women in the most vulnerable social conditions, considering the importance of access to information for reducing health risks.

Acceptability of the Pregnancy, Exercise, and Nutrition Research Study With Smartphone App Support (PEARS) and the Use of Mobile Health in a Mixed Lifestyle Intervention by Pregnant Obese and Overweight Women: Secondary Analysis of a Randomized Controlled Trial

Background

Dietary interventions can improve pregnancy outcomes among women with increased BMI. Although the interest in mobile health interventions is growing, little is known about the acceptability of smartphone apps to support lifestyle interventions in such a cohort.

Objective

We aimed to assess the acceptability of the pregnancy, exercise, and nutrition research study with smartphone app support (PEARS) and the use of mobile health in a mixed lifestyle intervention delivered to overweight and obese pregnant women.

Methods

PEARS was a randomized controlled trial of a low glycemic index dietary intervention with exercise prescription and a smartphone app, which was delivered to pregnant women who were overweight or obese. Acceptability questionnaires were completed by the intervention group at 28 weeks of gestation (n=149) and at postintervention (n=123). Maternal characteristics were recorded (ie, age, ethnicity, BMI, socioeconomic status). Associations between maternal characteristics and acceptability of the intervention and app were analyzed using two-tailed t tests, Mann-Whitney U tests, chi-square test, and logistic regression. One-on-one semistructured interviews were conducted with a subcohort of the intervention participants (n=28) at 34 weeks of gestation, in which the participants shared their experiences of the PEARS intervention.

Results

The intervention was generally accepted, with respondents agreeing that the diet was easy to follow (98/148, 68.5%), enjoyable (106/148, 74.1%), and affordable (110/148, 76.9%). Qualitative and quantitative results were consistent with each another, both demonstrating that app acceptability was high. The participants agreed that the app was enjoyable (96/120, 80.0%) and easy to use (116/119, 97.5%). Compared to those with tertiary education, those with lower education levels were more likely to enjoy the dietary changes (P=.04). Enjoyment of the app was associated with disadvantaged neighborhood deprivation index (P=.01) and higher BMI (P=.03).

Conclusions

The PEARS intervention and use of a supportive smartphone app were accepted by pregnant women, particularly by those from vulnerable subgroups of this population.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN) 29316280; https://www.isrctn.com/ISRCTN29316280

Association and potential mediators between socioeconomic status and childhood overweight/obesity

The associations between socioeconomic status and childhood overweight/obesity are inconsistent, and potential underlying factors are unclear. In China, Hukou status is an important attribute of individual's socioeconomic circumstances, but previously received less consideration as a socioeconomic indicator. This study aimed to investigate the association between comprehensive socioeconomic status and childhood overweight/obesity. Using data from Wuhan Maternal and Child Health Management Information System (2009-2018, N = 209,500), clustering analysis was used to create comprehensive socioeconomic groups with indicator components such as parental education level, occupation, and maternal Hukou. The associations between the determined socioeconomic status and childhood overweight/obesity at age 1 and 2 were examined by log-binomial model. Parallel and serial mediation analyses were performed to test the indirect effects of potential mediators, including maternal pre-pregnancy body mass index, gestational weight gain, and infant birth weight, in the association between socioeconomic status and childhood overweight/obesity. Four clusters, defined as low, low-medium, medium-high, and high socioeconomic groups, were identified through clustering analysis. Hukou, among five socioeconomic components, contributed the most to the development of childhood overweight/obesity. Children in the low-medium socioeconomic group have a greater risk of overweight/obesity than the low socioeconomic group. Indirect effects of maternal pre-pregnancy body mass index, gestational weight gain, and infant birth weight were identified for the association. In conclusion, socioeconomic status may impact childhood obesity through maternal pre-pregnancy body mass index, gestational weight gain, and infant birth weight. Hukou should be considered in the evaluation of socioeconomic status in China.

Education differences in women's body weight trajectories: The role of motherhood

Studies have found that education differences in women's body weight increase until middle adulthood. The explanatory mechanisms behind this increase are not well-understood. This study examined the role of education differences in the prevalence of motherhood as a risk factor for weight gain and in vulnerability to its effects on weight gain. We used longitudinal data from the German Socio-economic Panel Study. Our sample included 2,668 women aged between 17 and 45 and observed at least twice between 2002 and 2016 (n = 13,899 panel observations). We used OLS regression models to estimate initial education differences in body weight and fixed-effects panel regression models to estimate education differences in body-weight trajectories. Motherhood was associated with increasing body weight, and the effects of motherhood on weight gain varied by education. Motherhood partially accounted for the increase of education differences during reproductive age. Until the age of 30, differences in the prevalence of motherhood accounted for about 20% of the bodyweight gap between lower and higher educated women. From age 35 until 45, differential vulnerability to the effects of motherhood on body weight explained about 15% of the education gap in body weight.

The Design of a Randomized Clinical Trial to Evaluate a Pragmatic and Scalable eHealth Intervention for the Management of Gestational Weight Gain in Low-Income Women: Protocol for the SmartMoms in WIC Trial

BACKGROUND

Less than one-third of women gain an appropriate amount of weight during pregnancy, which can influence the long-term health of both the mother and the child. Economically disadvantaged women are the most vulnerable to maternal obesity, excessive weight gain during pregnancy, and poor birth outcomes. Effective and scalable health care strategies to promote healthy weight gain during pregnancy specifically tailored for these women are lacking.

OBJECTIVE

This paper presents the design and protocol of a biphasic, community-based eHealth trial, SmartMoms in WIC, to increase the adherence to healthy gestational weight gain (GWG) recommendations in low-income mothers receiving women, infant, and children (WIC) benefits.

METHODS

Phase 1 of the trial included using feedback from WIC mothers and staff and participants from 2 community peer advisory groups to adapt an existing eHealth gestational weight management intervention to meet the needs of women receiving WIC benefits. The health curriculum, the format of delivery, and incentive strategies were adapted to be culturally relevant and at an appropriate level of health literacy. Phase 2 included a pragmatic randomized controlled trial across the 9 health care regions in Louisiana with the goal of enrolling 432 women. The SmartMoms in WIC intervention is an intensive 24-week behavioral intervention, which includes nutrition education and exercise strategies, and provides the technology to assist with weight management, delivered through a professionally produced website application.

RESULTS

Phase 1 of this trial was completed in July 2019, and recruitment for phase 2 began immediately thereafter. All data are anticipated to be collected by Spring 2023.

CONCLUSIONS

The SmartMoms in WIC curriculum was methodically developed using feedback from community-based peer advisory groups to create a culturally relevant, mobile behavioral intervention for mothers receiving WIC benefits. The randomized clinical trial is underway to test the effectiveness of a sustainable eHealth program on the incidence rates of appropriate GWG. SmartMoms in WIC may be able to offer an innovative, cost-effective, and scalable solution for GWG management in women served by WIC.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04028843; https://clinicaltrials.gov/ct2/show/NCT04028843.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/18211.

Consideration of Social Disadvantages for Understanding and Preventing Obesity in Children

Addressing social disadvantages that lead to obesity should be a public health priority. Obesity prevalence among children and adolescents has reached a plateau in countries with high income but it continues rising in low-income and middle-income countries. In high-income countries, an elevated prevalence of obesity is found among racial and ethnic minority groups and individuals from disadvantaged socioeconomic backgrounds. In addition to classic socioeconomic status (SES) factors, like income, parental education, and occupation, recent publications have linked parental social disadvantages, such as minimal social network, non-traditional family structure, migrant status and unemployment, with obesogenic behaviors and obesity among children. Socio-ecological models of obesity in children can explain the influence of classic SES factors, social disadvantages, culture, and genes on behaviors that could lead to obesity, contributing to the elevated prevalence of obesity. Obesity is a multifactorial disease in which multilevel interventions seem to be the most effective approach to prevent obesity in children, but previous meta-analyses have found that multilevel interventions had poor or inconsistent results. Despite these results, some multilevel interventions addressing specific disadvantaged social groups have shown beneficial effects on children's weight and energy balance-related behaviors, while other interventions have benefited children from both disadvantaged and non-disadvantaged backgrounds. Considering obesity as a worldwide problem, the World Health Organization, the European Commission, and the National Institutes of Health recommend the implementation of obesity prevention programs, but the implementation of such programs without taking into consideration social disadvantages may be an unsuccessful approach. Therefore, the present publication consists of a review of the pertinent literature related to social disadvantage and its consequences for behaviors that could lead to childhood obesity. In addition, we will discuss the relationship between social disadvantages and the socio-ecological model of obesity in children. Finally, we will summarize the relevant aspects of multilevel intervention programs aiming to prevent obesity in children and provide recommendations for future research and intervention approaches to improve weight status in children with social disadvantages.

M2 macrophage-derived extracellular vesicles promote gastric cancer progression via a microRNA-130b-3p/MLL3/GRHL2 signaling cascade

BACKGROUND

Transfer of noncoding microRNAs (miRNAs) by extracellular vesicles (EVs) promotes the development of chemoresistance in many tumor types. Additionally, restoration or depletion of several miRNAs has been observed in multiple cancer types including gastric cancer (GC). In this present study, we aimed to investigate the mechanism of miR-130b-3p in M2 macrophage-derived EVs in the development of GC through regulation of mixed lineage leukemia 3 (MLL3) and grainyhead-like 2 (GRHL2).

METHODS

Expression of miR-130b-3p and GRHL2 was quantified in 63 pairs of cancerous and noncancerous gastric tissues. The predicted binding between miR-130b-3p and MLL3, together with the enrichment of MLL3, H3K4me1, and H3K27ac in gene enhancer region, was verified by luciferase activity assay and chromatin immunoprecipitation. Effects of miR-130b-3p on GC cell proliferation, apoptosis, migration and invasion, as well as tube formation of human umbilical endothelial vein cells (HUEVCs) were further determined by gain- and loss-of function assays in vitro.

RESULTS

miR-130b-3p was upregulated in GC tissues, and miR-130b-3p promoted survival, metastasis and angiogenesis of GC cells as well as enhanced tumor formation and angiogenesis in GC in vivo. Additionally, miR-130b-3p delivered in M2 macrophage-derived EVs promoted survival, migration, invasion, and angiogenesis of GC cells. Notably, MLL3 inhibited GC cell proliferation, migration, invasion, and vessel-like tube formation of HUEVCs by increasing GRHL2. Furthermore, downregulation of miR-130b-3p in M2 macrophage-derived EVs or upregulation of GRHL2 inhibited tumor formation and angiogenesis in GC.

CONCLUSION

This study highlights that EVs loaded with the specific miRNA cargo miR-130b-3p mediate communication between M2 macrophages and cancer cells in the tumor microenvironment through the modulation of MLL3 and GRHL2 in GC.

Prediction of excess pregnancy weight gain using psychological, physical, and social predictors: A validated model in a prospective cohort study

Objective

To develop and validate a prediction model for excess pregnancy weight gain using early pregnancy factors.

Design

Prospective cohort study

Setting

We recruited from 12 obstetrical, family medicine, and midwifery centers in Ontario, Canada

Participants

We recruited English-speaking women with singleton pregnancies between 8⁺⁰–20⁺⁶ weeks. Of 1296 women approached, 1050 were recruited (81%). Of those, 970 women had complete data (970/1050, 92%) and were recruited at a mean of 14.8 weeks.

Primary outcome measure

We collected data on psychological, physical, and social factors and used stepwise logistic regression analysis to develop a multivariable model predicting our primary outcome of excess pregnancy weight gain, with random selection of 2/3 of women for training data and 1/3 for testing data.

Results

Nine variables were included in the final model to predict excess pregnancy weight gain. These included nulliparity, being overweight, planning excessive gain, eating in front of a screen, low self-efficacy regarding pregnancy weight gain, thinking family or friends believe pregnant women should eat twice as much as before pregnancy, being agreeable, and having emotion control difficulties. Training and testing data yielded areas under the receiver operating characteristic curve of 0.76 (95% confidence interval, 0.72 to 0.80) and 0.62 (95% confidence interval 0.56 to 0.68), respectively.

Conclusions

In this first validated prediction model in early pregnancy, we found that nine psychological, physical, and social factors moderately predicted excess pregnancy weight gain in the final model. This research highlights the importance of several predictors, including relatively easily modifiable ones such as appropriate weight gain plans and mindfulness during eating, and lays an important methodological foundation for other future prediction models.

Why young women gain weight: A narrative review of influencing factors and possible solutions

Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.

Exposure to traffic noise and gestational weight gain and postpartum weight retention: a cohort study

OBJECTIVES

Transportation noise has been associated with markers of obesity. We aimed to investigate whether road traffic and railway noise were associated with weight gain during and after pregnancy.

METHODS

Among the women participating in the Danish National Birth Cohort, 74 065 reported on weight before and during the pregnancy (gestational week 30) and 52 661 reported on weight before and 18 months after pregnancy. Residential address history from conception to 18 months after pregnancy was obtained in national registers, and road traffic and railway noise were modelled for all addresses. Associations between noise and gestational weight gain (GWG) and postpartum weight retention (PPWR) were analysed using the linear and log-binomial regression.

RESULTS

A 10 dB(A) higher road traffic noise was associated with an increase in GWG of 3.8 g/week (95% CI 2.3 to 5.3) and PPWR of 0.09 kg (95% CI 0.02 to 0.16). For PPWR, this association seemed confined to women who were overweight (0.17 kg, 95% CI 0.02 to 0.32) or obese (0.49 kg, 95% CI 0.26 to 0.73) before pregnancy. Further adjustment by nitrogen dioxide reduced GWG risk estimates and slightly increased PPWR risk estimates. Railway noise ≥65 dB(A) was associated with an increase in GWG of 4.5 g/week (95% CI -2.7 to 11.6) and PPWR of 0.26 kg (95% CI -0.09 to 0.60) compared with levels <55 dB(A).

CONCLUSIONS

Our findings suggest that road traffic noise is associated with weight gain during and after the pregnancy, which adds to the literature linking transportation noise to adiposity.

Impact of maternal education on response to lifestyle interventions to reduce gestational weight gain: individual participant data meta-analysis

OBJECTIVES

To identify if maternal educational attainment is a prognostic factor for gestational weight gain (GWG), and to determine the differential effects of lifestyle interventions (diet based, physical activity based or mixed approach) on GWG, stratified by educational attainment.

DESIGN

Individual participant data meta-analysis using the previously established International Weight Management in Pregnancy (i-WIP) Collaborative Group database (https://iwipgroup.wixsite.com/collaboration). Preferred Reporting Items for Systematic reviews and Meta-Analysis of Individual Participant Data Statement guidelines were followed.

DATA SOURCES

Major electronic databases, from inception to February 2017.

ELIGIBILITY CRITERIA

Randomised controlled trials on diet and physical activity-based interventions in pregnancy. Maternal educational attainment was required for inclusion and was categorised as higher education (≥tertiary) or lower education (≤secondary).

RISK OF BIAS

Cochrane risk of bias tool was used.

DATA SYNTHESIS

Principle measures of effect were OR and regression coefficient.

RESULTS

Of the 36 randomised controlled trials in the i-WIP database, 21 trials and 5183 pregnant women were included. Women with lower educational attainment had an increased risk of excessive (OR 1.182; 95% CI 1.008 to 1.385, p =0.039) and inadequate weight gain (OR 1.284; 95% CI 1.045 to 1.577, p =0.017). Among women with lower education, diet basedinterventions reduced risk of excessive weight gain (OR 0.515; 95% CI 0.339 to 0.785, p = 0.002) and inadequate weight gain (OR 0.504; 95% CI 0.288 to 0.884, p=0.017), and reduced kg/week gain (B -0.055; 95% CI -0.098 to -0.012, p=0.012). Mixed interventions reduced risk of excessive weight gain for women with lower education (OR 0.735; 95% CI 0.561 to 0.963, p=0.026). Among women with high education, diet based interventions reduced risk of excessive weight gain (OR 0.609; 95% CI 0.437 to 0.849, p=0.003), and mixed interventions reduced kg/week gain (B -0.053; 95% CI -0.069 to -0.037,p<0.001). Physical activity based interventions did not impact GWG when stratified by education.

CONCLUSIONS

Pregnant women with lower education are at an increased risk of excessive and inadequate GWG. Diet based interventions seem the most appropriate choice for these women, and additional support through mixed interventions may also be beneficial.

Weight Gain in Pregnancy and Weight Retention after Birth

AIM:

Our study aims to determine the weight gain of pregnant women and their body weight one year after delivery. We compared these changes in body weight with education and place of residence (urban/rural).

METHODS:

Secundigravidae women (N = 113) filled out the structured checklist regarding anthropological characteristics, such as body weight (the current and before and after the first pregnancy). Some sociodemographic characteristics were also obtained.

RESULTS:

Average weight gain in pregnancy was 16.9 kg (Sd 6.1, median 16 kg; range 6-40 kg). Women with high school education only gained 2 kg more than women with college/university degree (F (1, 108) 4.11, p ≤ 0.05). There was no significant difference in weight gain when the place of residence was compared (F (1, 111) 2.86, p ≥ 0.05). The average weight difference one year after delivery was 3.3 kg (Sd 4.3, median 2 kg; spread -5 to 20 kg). There was no significant difference in weight difference one year after delivery in different educational groups. Women from rural area retained 2.5 kg more than women in an urban area (F (1, 109) 7.50, p ≤ 0.01).

CONCLUSION:

Our research has shown that women with higher education level gain less weight than women with lower degrees. They had more possibility to get access to information about health risks. The overall impression is that women do care about weight gain in pregnancy and actively work on getting back to desirable weight after delivery. This is even more important if we know that body weight before pregnancy, weight gain in pregnancy, pregnancy overweight and pregnancy obesity impact later life of mother and child. Therefore, the need for weight control in pregnancy and between pregnancies should be properly addressed.

Factors associated with gestational weight gain: a cross-sectional survey

BACKGROUND

The aim of this study was to describe the dietary patterns in pregnant women and determine the association between diet factors, pre-pregnancy body mass index, socio-demographic characteristics and gestational weight gain.

METHODS

The analysis was conducted on a group of 458 women. Cut-off values of gestational weight gain adequacy were based on recommendations published by the US Institute of Medicine and were body mass index-specific. Logistic regression analysis was used to assess the risk of the occurrence of inadequate or excessive gestational weight gain. Dietary patterns were identified by factor analysis.

RESULTS

Three dietary patterns characteristic of pregnant women in Poland were identified: 'unhealthy', 'varied' and 'prudent'. The factor associated with increased risk of inadequate gestational weight gain was being underweight pre-pregnancy (OR = 2.61; p = 0.018). The factor associated with increased risk of excessive weight gain were being overweight or obese pre-pregnancy (OR = 7.00; p = 0.031) and quitting smoking (OR = 7.32; p = 0.019). The risk of excessive weight gain was decreased by being underweight pre-pregnancy (OR = 0.20; p = 0.041), being in the third or subsequent pregnancy compared to being in the first (OR = 0.37; p = 0.018), and having a high adherence to a prudent dietary pattern (OR = 0.47; p = 0.033).

CONCLUSIONS

Women who were overweight or obese pre-pregnancy and those who quit smoking at the beginning of pregnancy should be provided with dietary guidance to prevent excessive gestational weight gain.