How does gestational weight gain influence short- and long-term postpartum weight retention? An updated systematic review and meta-analysis.

This systematic review and meta-analysis provide an update of an earlier meta-analysis examining the impact of gestational weight gain (GWG) on postpartum weight retention (PPWR). Thirty-four observational studies were included, and results from 18 studies were combined in meta-analyses. We found that women with excessive GWG retained an additional 2.98 kg (95% CI: 0.59, 5.37 kg, I2  = 91%) at 0.5 years, 1.89 kg (95% CI: 0.90, 2.88 kg, I2  = 61%) at > 0.5-1 year and 2.89 kg (95% CI: 1.74, 4.04 kg, I 2  = 0%) at 2-4 years, compared to women who met the National Academy of Medicine GWG recommendations. Moreover, synthesis of confounder-adjusted regression coefficients showed that each 1 kg increase of GWG corresponded to 0.62 kg (95% CI: 0.22, 1.02 kg, I2  = 96%) additional PPWR at 6-9 months, 0.48 kg (95% CI: 0.14, 0.81 kg, I2  = 93%) at 1-3 years, and 0.31 kg (95% CI: -0.24, 0.86 kg, I2  = 89%) at 5-7 years postpartum. Findings suggest that higher GWG contributes to increased maternal body weight in the short- and long-term after childbirth, independent of prepregnancy body mass index. The heterogeneity of reported data and methodological differences across studies complicate the ability to synthesize data and interpret findings.

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.

Antibiotic Treatment During Pregnancy and the First Six Months Postpartum - a Secondary Analysis of the "Healthy Living in Pregnancy" (GeliS) Study.

Introduction: Antibiotic therapies for the treatment of bacterial infections pose a particular challenge during pregnancy and breastfeeding. For Germany, there is hardly any information on the frequency of antibiotic use during this phase. Our analysis uses data from the "Healthy Living in Pregnancy" (GeliS) study to describe antibiotic treatments during pregnancy and in the first six months after birth (postpartum), and to compare their use with existing recommendations. Methods: This is a retrospective secondary analysis of the GeliS study. In the cluster randomized lifestyle intervention study, detailed information on antibiotic therapies during pregnancy and postpartum was collected using surveys. Chi-square tests and generalized estimating equations were used for evaluation. Results: Of the 1636 women included in the analysis, 21% reported antibiotic treatment at least once during pregnancy (14%) or in the first six months postpartum (7%). During pregnancy, the antibiotic therapies of women increased from 1.7% in the first trimester to 6.5% in the third trimester. Common reasons for treatment were urinary tract infections (7.3% of women), ear, nose, throat (ENT) infections (3.6%), and birth complications (2.6%). The information on the prescribed preparations corresponded to the current recommendations. A significant increase in the frequency of treatment with antibiotics was observed in the lifestyle intervention group (p < 0.001), in participants without a partner (p < 0.001), and in women who breastfed their children (p = 0.005) or gave birth by caesarean section (p = 0.003) or prematurely (p = 0.012). Other socioeconomic or lifestyle factors were not significant. Conclusion: Approximately one in five women receives at least one antibiotic treatment during pregnancy and breastfeeding that meets current treatment recommendations. Treatment with antibiotics is more common in premature births, caesarean sections, and breastfeeding women.

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 12th 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 ß 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.

Dietary Supplementation Before, During and After Pregnancy: Results of the Cluster-Randomized GeliS Study.

Introduction The nutritional status of women before, during, and after pregnancy plays an important role in the health of mother and child. In addition to a balanced mixed diet, the increased need for folic acid and iodine should be met and ensured with supplements. The aim of this study was to assess dietary supplementation in the context of pregnancy and to investigate the effect of targeted counselling on supplementation behavior during and after pregnancy. Methods In the context of the "Gesund leben in der Schwangerschaft" (GeliS; "Healthy living in pregnancy") trial, women in the intervention group (IG) received four structured lifestyle counselling sessions during pregnancy as well as postpartum, during which they were informed about appropriate dietary supplementation. The women in the control group (CG) received routine prenatal care. The intake of dietary supplements was recorded at different points using a questionnaire. Results In total, 2099 women were included in the analysis. Prior to conception, 31.3% of the women in the IG and 31.4% of the women in the CG took folic acid supplements. Prenatally, about half of the women took folic acid (IG: 54.1%; CG: 52.0%) and iodine (IG: 50.2%; CG: 48.2%). Statistically significant differences between the groups with regard to supplementation behavior could not be observed, neither prior to inclusion in the study nor during the intervention. During pregnancy, 23.0% of all women took docosahexaenoic acid (DHA) supplements and 21.8% iron supplements. 49.4% of the women additionally took vitamin D supplements. A higher educational level (p < 0.001), advanced age (p < 0.001), primiparity (p < 0.001), and a vegetarian diet (p = 0.037) were all associated with a higher level of dietary supplementation. Conclusion The GeliS lifestyle counselling did not significantly improve the supplementation behavior of women during and after pregnancy. Women should be informed about adequate dietary supplementation early on within the scope of gynecological prenatal care.

Are pre- and early pregnancy lifestyle factors associated with the risk of preterm birth? A secondary cohort analysis of the cluster-randomised GeliS trial.

BACKGROUND: Maternal lifestyle is discussed as a modifiable determinant in the prevention of preterm birth. However, previous research on associations between individual lifestyle factors and preterm birth risk is inconclusive. In this secondary analysis, we investigated the associations between several modifiable antenatal lifestyle factors and the odds of preterm birth. METHODS: This secondary cohort analysis used data from the cluster-randomised controlled "healthy living in pregnancy" (GeliS) trial. Data were collected from early pregnancy to birth with maternity records, validated questionnaires and birth protocols. Women with complete datasets for all covariates were eligible for analysis. Multivariate logistic regression models, adjusted for recognised risk factors, were fitted to determine whether dietary quality, assessed with a healthy eating index (HEI), physical activity (PA) levels and antenatal anxiety/distress influenced the odds of preterm birth. Moreover, the combined association between pre-pregnancy body mass index (BMI) and HEI on the odds of preterm birth was explored. The independent associations of individual dietary components and types of PA on prematurity were assessed by adjusted logistic regression models. RESULTS: Overall, 1738 women were included in the analysis. A low HEI significantly increased the odds of preterm birth (OR 1.54 (CI 1.04 - 2.30), p = 0.033), while no associations with either low PA levels or antenatal anxiety/distress were observed. BMI significantly interacted with HEI on the association with prematurity (p = 0.036). Energy % from protein and the intake of average portions of vegetables and cereals were significantly negatively associated with the odds of preterm birth. There was no significant evidence of an association between different types of PA and prematurity. CONCLUSIONS: This cohort analysis revealed that low dietary quality in early pregnancy may increase the chance of giving birth prematurely, while healthier dietary choices may help to prevent preterm birth. More research on pre- and early pregnancy modifiable lifestyle factors is warranted. TRIAL REGISTRATION: This trial is registered with the Clinical Trial Registry ClinicalTrials.gov ( NCT01958307 ). Registration date 09 October 2013, retrospectively registered.

Child Anthropometrics and Neurodevelopment at 2 and 3 Years of Age Following an Antenatal Lifestyle Intervention in Routine Care-A Secondary Analysis from the Cluster-Randomised GeliS Trial.

Maternal characteristics around pregnancy may influence obesity risk and neurodevelopment in children. To date, the effect of antenatal lifestyle interventions on long-term child development is unclear. The objective was to investigate the potential long-term effects of an antenatal lifestyle intervention programme conducted alongside routine care on child anthropometrics and neurodevelopment up to 3 years of age. Mother-child pairs from the cluster-randomised GeliS trial were followed up to 3 years of age. Data on child anthropometrics in both groups were collected from routine health examinations. Neurodevelopment was assessed via questionnaire. Of the 2286 study participants, 1644 mother-child pairs were included in the analysis. Children from the intervention group were less likely to score below the cut-off in Fine motor (p = 0.002), and more likely to have a score below the cut-off in Problem-solving (p < 0.001) compared to the control group at 3 years of age. Mean weight, height, head circumference, body mass index, and the respective z-scores and percentiles were comparable between the groups at 2 and 3 years of age. We found no evidence that the lifestyle intervention affected offspring development up to 3 years of age. Further innovative intervention approaches are required to improve child health in the long-term.

How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial.

OBJECTIVES: We aimed to investigate the predictive potential of early pregnancy factors such as lifestyle, gestational weight gain (GWG) and mental well-being on gestational diabetes mellitus (GDM) beyond established risk factors. METHODS: GDM risk was investigated in the cohort of the German 'Gesund leben in der Schwangerschaft'/healthy living in pregnancy study. Women were recruited up to the 12th week of gestation. GDM was diagnosed with a 75 g oral glucose tolerance test between the 24th and 28th weeks of gestation. Pre-pregnancy age and weight, mental health and lifestyle were assessed via questionnaires. Maternal weight was measured throughout pregnancy. Early excessive GWG was defined based on the guidelines of the Institute of Medicine. The association between several factors and the odds of developing GDM was assessed using multiple logistic regression analyses. RESULTS: Of 1694 included women, 10.8% developed GDM. The odds increased with pre-pregnancy BMI and age (women with obesity: 4.91, CI 3.35-7.19, p < 0.001; women aged 36-43 years: 2.84, CI 1.45-5.56, p = 0.002). Early excessive GWG, mental health and general lifestyle ratings were no significant risk factors. A 31% reduction in the odds of GDM was observed when <30% of energy was consumed from fat (OR 0.69, CI 0.49-0.96, p = 0.026). Vigorous physical activity tended to lower the odds without evidence of statistical significance (OR 0.59 per 10 MET-h/week, p = 0.076). CONCLUSIONS: Maternal age and BMI stand out as the most important drivers of GDM. Early pregnancy factors like dietary fat content seem to be associated with GDM risk. Further evaluation is warranted before providing reliable recommendations.

Effects of a Prenatal Lifestyle Intervention in Routine Care on Maternal Health Behaviour in the First Year Postpartum-Secondary Findings of the Cluster-Randomised GeliS Trial.

Lifestyle interventions during pregnancy were shown to beneficially influence maternal dietary behaviour and physical activity, but their effect on health behaviour after delivery is unclear. The objective of this secondary analysis was to investigate the sustained effect of a lifestyle intervention in routine care on maternal health behaviour during the first year postpartum. The cluster-randomised controlled "Healthy living in pregnancy" (GeliS) study included 2286 pregnant women. Data on maternal health behaviour were collected at 6-8 weeks (T1pp) and one year postpartum (T2pp) using validated questionnaires. The intervention group showed a lower mean intake of fast food (T1pp: p = 0.016; T2pp: p < 0.001) and soft drinks (T1pp: p < 0.001), a higher mean intake of vegetables (T2pp: p = 0.015) and was more likely to use healthy oils for meal preparation than the control group. Dietary quality rated by a healthy eating index was higher in the intervention group (T1pp: p = 0.093; T2pp: p = 0.043). There were minor trends towards an intervention effect on physical activity behaviour. The proportion of smokers was lower in the intervention group (p < 0.001, both time points). The lifestyle intervention within routine care modestly improved maternal postpartum dietary and smoking behaviours.

Associations between lifestyle interventions during pregnancy and childhood weight and growth: a systematic review and meta-analysis.

BACKGROUND: Maternal health and lifestyle during pregnancy may be critical for the onset and progression of childhood obesity. Prenatal lifestyle interventions have been shown to positively affect maternal behaviors, gestational weight gain, and anthropometric outcomes in infants at birth. The influence of such interventions on child weight or growth beyond birth is unknown. We therefore examined the association between lifestyle interventions during pregnancy and anthropometric outcomes during childhood. METHODS: A systematic literature search was conducted in three electronic databases, two clinical trial registers and further sources, without language or publication status restrictions. Additionally, 110 study authors were contacted to obtain unpublished data. Randomized controlled trials comparing any antenatal lifestyle or behavioral intervention to standard prenatal care, in women of any body mass index (BMI), with offspring anthropometric data at 1 month of age or older, were considered. Two reviewers independently extracted data and assessed the risk of bias using the Cochrane Collaboration's updated tool. Data on weight, length, and BMI, and corresponding z-scores, were stratified into six age ranges and weighted mean differences (WMD) with 95% confidence intervals (CI) were calculated in univariate and multivariate random-effects meta-analytical models. RESULTS: Twenty trials comprising 11,385 women were included in this systematic review, of which 19 were combined in meta-analyses. Overall, lifestyle interventions during pregnancy were not associated with differences in weight, length, BMI, or corresponding z-scores, in children aged 1 month to 7 years (e.g. weight in 5 to 6 month old children, WMD: 0.02 kg; 95% CI: - 0.05 to 0.10 kg, I2 = 38%; 13 studies, 6667 participants). Findings remained consistent when studies were stratified by maternal baseline BMI or other risk factors, and intervention content and duration. Based on the GRADE criteria, the strength of the body of evidence was considered moderate. CONCLUSION: Prenatal lifestyle interventions were not shown to influence childhood weight or growth. Nevertheless, women should be encouraged to pursue a healthy lifestyle during pregnancy. Further efforts to establish early prevention strategies for childhood obesity are urgently needed. Thus, large, high-quality studies with pre-planned, long-term follow-ups are warranted. TRIAL REGISTRATION: PROSPERO CRD42018118678 .

Infant growth during the first year of life following a pregnancy lifestyle intervention in routine care-Findings from the cluster-randomised GeliS trial.

BACKGROUND: Lifestyle interventions in pregnancy may influence postpartum development and obesity risk in offspring. The impact of lifestyle interventions as health system-based approaches is unclear. OBJECTIVE: To evaluate the effect of an antenatal lifestyle intervention conducted as public health approach on infant development and feeding practices. METHODS: We followed offspring born to women participating in the cluster-randomised GeliS trial who received usual care (CG) or repeated lifestyle counselling (IG). We collected data on offspring development and complementary feeding until the 12th month postpartum. RESULTS: Of the 1998 mother-child pairs, 1783 completed the follow-up. Mean infant weight at 12 months was comparable between groups (IG: 9497.9 ± 1137.0 g; CG: 9433.4 ± 1055.2 g; P = .177). There was no significant evidence of differences in sex- and age-adjusted z-scores or in the odds of offspring being overweight. More infants in the IG received whole-grain products compared to the CG (95.6% vs. 90.8%; P = .003). Despite small differences in the timing of introducing solid foods, there were no further significant differences in the pattern of complementary feeding. CONCLUSIONS: The antenatal lifestyle intervention embedded in routine care did not substantially influence infant anthropometrics and is thus unlikely to impact future development.

Effects of a Lifestyle Intervention in Routine Care on Short- and Long-Term Maternal Weight Retention and Breastfeeding Behavior-12 Months Follow-up of the Cluster-Randomized GeliS Trial.

Postpartum weight retention (PPWR) is associated with an increased risk for maternal obesity and is discussed to be influenced by breastfeeding. The objective was to evaluate the effect of a lifestyle intervention delivered three times during pregnancy and once in the postpartum period on PPWR and on maternal breastfeeding behavior. In total, 1998 participants of the cluster-randomized "healthy living in pregnancy" (GeliS) trial were followed up until the 12th month postpartum (T2pp). Data were collected using maternity records and questionnaires. Data on breastfeeding behavior were collected at T2pp. At T2pp, mean PPWR was lower in women receiving counseling (IV) compared to the control group (C) (-0.2 ± 4.8 kg vs. 0.6 ± 5.2 kg), but there was no significant evidence of between-group differences (adjusted p = 0.123). In the IV, women lost more weight from delivery until T2pp compared to the C (adjusted p = 0.008) and showed a slightly higher rate of exclusive breastfeeding (IV: 87.4%; C: 84.4%; adjusted p < 0.001). In conclusion, we found evidence for slight improvements of maternal postpartum weight characteristics and the rate of exclusive breastfeeding in women receiving a lifestyle intervention embedded in routine care, although the clinical meaning of these findings is unclear.

Prolonged monitoring of postprandial lipid metabolism after a western meal rich in linoleic acid and carbohydrates.

Today, awareness has been raised regarding high consumption of n-6 polyunsaturated fatty acids (PUFA) in western diets. A comprehensive analysis of total and individual postprandial fatty acids profiles would provide insights into metabolic turnover and related health effects. After an overnight fast, 9 healthy adults consumed a mixed meal comprising 97 g carbohydrate and 45 g fat, of which 26.4 g was linoleic acid (LA). Nonesterified fatty acids (NEFA), phospholipid fatty acids (PL-FA) and triacylglycerol fatty acids (TG-FA) were monitored in plasma samples, at baseline and hourly over a 7-h postprandial period. Total TG-FA concentration peaked at 2 h after the meal and steadily decreased thereafter. LA from TG18:2n-6 and behenic acid from TG22:0 showed the highest response among TG-FA, with a biphasic response detected for the former. PL-FA exhibited no change. Total NEFA initially decreased to nadir at 1 h, then increased to peak at 7 h. The individual NEFA showed the same response curve except LA and some very-long-chain saturated fatty acids (VLCSFA, ≥20 carbon chain length) that markedly increased shortly after the meal intake. The similarities and dissimilarities in lipid profiles between study subjects at different time points were visualized using nonmetric multi-dimensional scaling. Overall, the results indicate that postprandial levels of LA and VLCSFA, either as NEFA or TG, were most affected by the test meal, which might provide an explanation for the health effects of this dietary lifestyle characterized by high intake of mixed meals rich in n-6 PUFA.

Do lifestyle interventions during pregnancy have the potential to reduce long-term postpartum weight retention? A systematic review and meta-analysis.

Reducing postpartum weight retention is a promising strategy for addressing the rising prevalence of overweight and obesity in women. This systematic review and meta-analysis explored whether lifestyle interventions during pregnancy have the potential to reduce weight retention at 4 months postpartum and beyond. A search of five electronic databases for randomized controlled trials comparing the effect of weight-related lifestyle interventions beginning in pregnancy on postpartum weight retention to standard prenatal care groups was performed. Postpartum weight retention data was synthesized in a random-effects meta-analysis. Data from 14 studies of 7116 participants showed that the intervention group retained statistically significant less weight than the control group (weighted mean difference: -0.73 kg, 95% CI: -1.32 to -0.14, P = 0.015). Subgroup analysis showed this effect to be largest in studies with follow-ups from 4 to 6 months (weighted mean difference: -1.32 kg, 95% CI: -2.11 to -0.53, P = 0.001), but it remained significant until 12 months postpartum (weighted mean difference: -0.68 kg, 95% CI: -1.28 to -0.09, P = 0.023). In studies of women with a body mass index above 25.0 kg/m2 , no significant intervention effect was observed. More high-quality studies with a follow-up beyond 12 months postpartum are needed.