Mid-pregnancy weight gain is associated with offspring adiposity outcomes in early childhood.

BACKGROUND: Gestational weight gain (GWG) has been linked to childhood obesity. However, it is unclear if the timing of weight gain influences offspring body composition. A secondary analysis of a clinical trial examined the influence of total, early, and mid-pregnancy GWG on adiposity outcomes in 186 children at birth, 1, 3, and 5 years. METHODS: Early (<15 weeks) and mid-pregnancy GWG (15-32 weeks) were assessed. Anthropometrics and abdominal ultrasound were measured annually in children from birth to 5 years. MRI was performed in a sub-group of 44 children at 5 years to estimate abdominal fat. RESULTS: Almost half of the women (n = 86/186) gained excess weight in pregnancy, and women with a BMI ≥ 25 kg/m2 (n = 33) were more likely to gain in excess. Mid-pregnancy GWG predicted higher weight (g) and subcutaneous fat by ultrasound (mm2) and MRI (cm3) at 5 years [ß: 139.34 g (95% CI: -0.22; 278.90), p = 0.050; ß: 1.42 mm2 (95% CI: 0.06; 2.78), p = 0.041; and ß: 18.56 cm3 (95% CI: 1.30; 35.82) p = 0.036, respectively]. CONCLUSIONS: Mid-pregnancy weight gain was associated with greater fat depots at 5 years, which suggests that the timing of GWG has differential effects on offspring adiposity outcomes. IMPACT: Gestational weight gained in mid-pregnancy is associated with growth and adipose tissue development at 5 years. We observed that maternal weight gain in early and mid-gestation has differential effects on offspring body composition. Mid-pregnancy weight gain (15-32 weeks gestation) appears to influence child growth and abdominal fat accretion which may have implications for long-term metabolic health. Interventions that prevent excessive gestational weight gain in mid-pregnancy may affect obesity risk in early childhood. Prenatal care should stress the importance of optimal weight gain throughout pregnancy.

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 .

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

BACKGROUND: Maternal weight variables are important predictors of postpartum depression (PPD). While preliminary evidence points to an association between pre-pregnancy obesity and PPD, the role of excessive gestational weight gain (GWG) on PPD is less studied. In this secondary cohort analysis of the German 'healthy living in pregnancy' (GeliS) trial, we aimed to investigate associations between weight-related variables and PPD and to assess the influence of GWG on the risk for PPD. METHODS: We included women with normal weight, overweight, and obesity (BMI 18.5-40.0 kg/m2). Symptoms of PPD were assessed 6-8 weeks postpartum using the Edinburgh Postnatal Depression Scale. Pre-pregnancy BMI was self-reported. During the course of pregnancy, weight was measured at gynaecological practices within regular check-ups. GWG was defined as the difference between the last measured weight before delivery and the first measured weight at the time of recruitment (≤ 12th week of gestation). Excessive GWG was classified according to the Institute of Medicine. Multiple logistic regression analyses were used to estimate the odds of PPD in relation to pre-pregnancy BMI, GWG, and excessive GWG adjusting for important confounders. RESULTS: Of the total 1583 participants, 45.6% (n = 722) showed excessive GWG and 7.9% (n = 138) experienced PPD. Pre-pregnancy BMI (per 5-unit increase; OR = 1.23, 95% CI 1.08-1.41, p = 0.002) and pre-pregnancy overweight or obesity were significantly positively associated with the odds of developing PPD, particularly among women with an antenatal history of anxiety or depressive symptoms (overweight: OR = 1.93, 95% CI = 1.15-3.22, p = 0.01; obesity: OR = 2.11, 95% CI = 1.13-3.96, p = 0.02). Sociodemographic or lifestyle factors did not additively influence the odds of having PPD. In fully adjusted models, there was no significant evidence that GWG or the occurrence of excessive GWG increased the odds of experiencing PPD (excessive vs. non-excessive: OR = 3.48, 95% CI 0.35-34.94; GWG per 1 kg increase: OR = 1.16, 95% CI 0.94-1.44). CONCLUSION: Pre-pregnancy overweight or obesity is associated with PPD independent of concurrent risk factors. History of anxiety or depressive symptoms suggests a stress-induced link between pre-pregnancy weight and PPD. TRIAL REGISTRATION: NCT01958307 , ClinicalTrials.gov, retrospectively registered on 9 October 2013.

Effects of a lifestyle intervention during pregnancy to prevent excessive gestational weight gain in routine care - the cluster-randomised GeliS trial.

BACKGROUND: Excessive gestational weight gain (GWG) leads to obstetric complications, maternal postpartum weight retention and an increased risk of offspring obesity. The GeliS study examines the effect of a lifestyle intervention during pregnancy on the proportion of women with excessive GWG and pregnancy and obstetric complications, as well as the long-term risk of maternal and infant obesity. METHODS: The GeliS study is a cluster-randomised multicentre controlled trial including 2286 women with a pre-pregnancy BMI between 18.5 and 40.0 kg/m2 recruited from gynaecological and midwifery practices prior to the end of the 12th week of gestation in five Bavarian regions. In the intervention regions, four lifestyle counselling sessions covering a balanced healthy diet, regular physical activity and self-monitoring of weight gain were performed by trained healthcare providers alongside routine pre- and postnatal practice visits. In the control regions, leaflets with general recommendations for a healthy lifestyle during pregnancy were provided. RESULTS: The intervention did not result in a significant reduction of women showing excessive GWG (adjusted OR 0.95, 95% CI 0.66-1.38, p = 0.789), with 45.1% and 45.7% of women in the intervention and control groups, respectively, gaining weight above the Institute of Medicine recommendations. Gestational diabetes mellitus was diagnosed in 10.8% and 11.1% of women in the intervention and control groups, respectively (p = 0.622). Mean birth weight and length were slightly lower in the intervention group (3313 ± 536 g vs. 3363 ± 498 g, p = 0.020; 51.1 ± 2.7 cm vs. 51.6 ± 2.5 cm, p = 0.001). CONCLUSION: In the setting of routine prenatal care, lifestyle advice given by trained healthcare providers was not successful in limiting GWG and pregnancy complications. Nevertheless, the potential long-term effects of the intervention remain to be assessed. TRIAL REGISTRATION: NCT01958307 , ClinicalTrials.gov, retrospectively registered October 9, 2013.

Effects of a lifestyle intervention in routine care on prenatal physical activity - findings from the cluster-randomised GeliS trial.

BACKGROUND: Excessive gestational weight gain (GWG) is associated with an increased risk of pregnancy and obstetric complications. The "healthy living in pregnancy" (GeliS) study was performed in a routine care setting with the aim of limiting excessive GWG. The purpose of this secondary analysis is to evaluate the effect of the intervention on physical activity (PA) behaviour and to assess the impact of PA intensities on GWG. METHODS: The cluster-randomised, multicentre GeliS trial was performed in a routine care setting alongside scheduled prenatal visits. Pregnant women with a pre-pregnancy BMI between 18.5 and 40.0 kg/m2 were either assigned to the control group receiving usual care or to the intervention group. Participants in the intervention group attended three antenatal counselling sessions on diet and PA and one additional postpartum session. Data on PA behaviour were collected twice, before the end of the 12th (baseline) and after the 29th week of gestation using the Pregnancy Physical Activity Questionnaire. RESULTS: PA data were available for 1061 (93%) participants in the intervention and 1040 (93%) in the control group. Women in the intervention group reported significant improvements in the levels of total PA (p < 0.001), total PA of light intensity and above (p < 0.001), moderate-intensity (p = 0.024) and vigorous-intensity activities (p = 0.002) as well as sport activities (p < 0.001) in late pregnancy compared to the control group. The proportion of women meeting the international PA recommendations in late pregnancy was significantly higher in the intervention (64%) versus the control group (49%, p < 0.001). Activities of light-intensity and above (p = 0.006), light-intensity (p = 0.002) and vigorous-intensity (p = 0.014) in late pregnancy were inversely associated with total GWG. CONCLUSION: We found significant evidence of improvements in the PA pattern of pregnant women receiving lifestyle counselling within the framework of routine care. Most PA intensities were inversely associated with total GWG which indicates that PA across different intensities should be promoted. TRIAL REGISTRATION: NCT01958307, ClinicalTrials.gov, retrospectively registered 9 October, 2013.

Correction To: Effects of a lifestyle intervention in routine care on prenatal physical activity - findings from the cluster-randomised GeliS trial.

Following publication of the original article [1], the author notified us about incorrectly formatted of Table 2 and Table 3.

R0 Versus R1 Resection Matters after Pancreaticoduodenectomy, and Less after Distal or Total Pancreatectomy for Pancreatic Cancer.

OBJECTIVE: The aim of this study was to decipher the true importance of R0 versus R1 resection for survival in pancreatic ductal adenocarcinoma (PDAC). SUMMARY OF BACKGROUND DATA: PDAC is characterized by poor survival, even after curative resection. In many studies, R0 versus R1 does not result in different prognosis and does not affect the postoperative management. METHODS: Pubmed, Embase, and Cochrane databases were screened for prognostic studies on the association between resection status and survival. Hazard ratios (HRs) were pooled in a meta-analysis. Furthermore, our prospective database was retrospectively screened for curative PDAC resections according to inclusion criteria (n = 254 patients) between July 2007 and October 2014. RESULTS: In the meta-analysis, R1 was associated with a decreased overall survival [HR 1.45 (95% confidence interval, 95% CI 1.37-1.52)] and disease-free survival [HR 1.44 (1.30-1.59)] in PDAC when compared with R0. Importantly, this effect held true only for pancreatic head resection both in the meta-analysis [R0 ≥0 mm: HR 1.21 (1.05-1.39) vs R0 ≥1 mm: HR 1.66 (1.46-1.89)] and in our cohort (R0 ≥0 mm: 31.8 vs 14.5 months, P < 0.001; R0 ≥1 mm, 41.2 vs 16.8 months; P < 0.001). Moreover, R1 resections were associated with advanced tumor disease, that is, larger tumor size, lymph node metastases, and extended resections. Multivariable Cox proportional hazard model suggested G3, pN1, tumor size, and R1 (0 mm/1 mm) as independent predictors of overall survival. CONCLUSION: Resection margin is not a valid prognostic marker in publications before 2010 due to heterogeneity of cohorts and lack of standardized histopathological examination. Within standardized pathology protocols, R-status' prognostic validity may be primarily confined to pancreatic head cancers.

Longitudinal sonographic assessment of abdominal fat distribution from 2 to 5 years of age.

BACKGROUND: To better understand children's adipose tissue (AT) development and distribution, longitudinal data from direct assessment methods are valuable. Previously, we reported sonographic data on abdominal subcutaneous and preperitoneal fat areas ≤1 year of age. METHODS: Sonographic measurements were annually pursued to assess the development of fat compartments in 2-5 year-old children. The effect of sex and correlations with comprehensive anthropometry (e.g., BMI percentiles, skinfold thickness (SFT) measurements, and waist circumference) are presented. RESULTS: Subcutaneous fat areas increased modestly and were significantly greater in females at each time point investigated. Preperitoneal fat area increased significantly over time (all P values < 0.001) with greater area in females from 3 years onward (e.g., at 3 years estimated mean difference -4.8 mm2; 95% CI: -8.6, -0.9; P = 0.016). The strongest correlations for subcutaneous fat area were consistently observed for SFT measurements. Preperitoneal fat area showed rather weak to moderate correlations, with greater correlation coefficients for SFT measurements compared to waist circumference. CONCLUSION: For the first time, longitudinal ultrasound data on abdominal body fat covering preschool age are presented. Evaluation revealed a differential development of fat compartments, depending on children's age and sex with SFT measurements as the best predictor for both fat depots.

Cord blood and child plasma adiponectin levels in relation to childhood obesity risk and fat distribution up to 5 y.

BACKGROUND: Few human studies have explored the role of adiponectin in early life on growth and adipose tissue development. METHODS: High molecular weight (HMW) and total adiponectin levels from 141 cord blood samples and plasma blood samples from 40 3-y-old children were analyzed. Associations between adiponectin levels in cord blood and child plasma, and infant/child growth and fat mass measurements up to the age of 5 y were assessed using linear regression models. RESULTS: HMW cord blood adiponectin was positively associated with weight, BMI percentiles, and lean body mass at birth only. At 3 and 4 y, positive associations were found with cord blood adiponectin and sum of four skinfold thickness measures and percentage of body fat following adjustment for maternal and child covariates, but did not persist at 5 y. There was no significant evidence of an association between child plasma HMW adiponectin and growth or body composition characteristics at 3-5 y. CONCLUSION: Our results do not support the hypothesis that HMW cord blood adiponectin is a useful biomarker for the prediction of adiposity at the age of 5 y. Additionally, there is no evidence that plasma HMW adiponectin levels predict body fat distribution between 3-5 y.

Shared decision making PLUS - a cluster-randomized trial with inpatients suffering from schizophrenia (SDM-PLUS).

BACKGROUND: Shared decision making (SDM) is a model of how doctors and patients interact with each other. It aims at changing the traditional power asymmetry between doctors and patients by strengthening the exchange of information and the decisional position of the patient. Although SDM is generally welcomed by mental health patients as well as by mental health professionals its implementation in routine care, especially in the more acute settings, is still lacking. SDM-PLUS has been developed as an approach that addresses both patients and mental health professionals and aims at implementing SDM even for the very acutely ill patients. METHODS: The SDM-PLUS study will be performed as a matched-pair cluster-randomized trial in acute psychiatric wards. On wards allocated to the intervention group personnel will receive communication training (addressing how to implement SDM for various scenarios) and patients will receive a group intervention addressing patient skills for SDM. Wards allocated to the control condition will continue treatment as usual. A total sample size of 276 patients suffering from schizophrenia or schizoaffective disorder on 12 wards is planned. The main outcome parameter will be patients' perceived involvement in decision making during the inpatient stay measured with the SDM-Q-9 questionnaire. Secondary objectives include the therapeutic relationship and long term outcomes such as medication adherence and rehospitalization rates. In addition, process measures and qualitative data will be obtained to allow for the analysis of potential barriers and facilitators of SDM-PLUS. The primary analysis will be a comparison of SDM-Q-9 sum scores 3 weeks after study inclusion (or discharge, if earlier) between the intervention and control groups. To assess the effect of the intervention on this continuous primary outcome, a random effects linear regression model will be fitted with ward (cluster) as a random effect term and intervention group as a fixed effect. DISCUSSION: This will be the first trial examining the SDM-PLUS approach for patients with schizophrenia or schizoaffective disorder in very acute mental health inpatient settings. Within the trial a complex intervention will be implemented that addresses both patients and health care staff to yield maximum effects. TRIAL REGISTRATION: German Clinical Trials Register DRKS00010880 . Registered 09 August 2016.