Infant growth during the first year of life following a pregnancy lifestyle intervention in routine care—Findings from the cluster‐randomised<scp>GeliS</scp>trial

Hoffmann, Julia; Günther, Julia; Stecher, Lynne; Spies, Monika; Geyer, Kristina; Raab, Roxana; Meyer, Dorothy; Rauh, Kathrin; Hauner, Hans

doi:10.1111/ijpo.12705

Cited by 15 publications

(20 citation statements)

References 44 publications

(87 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By taking into account that outcomes measured at multiple time points within a study may be correlated, this method can result in more precise parameter estimates [38]. Variance-covariance matrices were estimated using withinstudy correlations [39], calculated from individual participant data (IPD) obtained from four included studies [40][41][42][43].…”

Section: Statistical Analysesmentioning

confidence: 99%

“…Also, 110 study authors were contacted for unpublished data. Among them, 12 provided study data [40][41][42][43][56][57][58][59][60][61][62][63][64][65]. In total, this systematic review included 20 RCTs [40-43, 45-52, 56-63], of which 19 were synthesized in meta-analyses.…”

Section: Study Selectionmentioning

confidence: 99%

“…The 17 individually- [41, 42, 45-52, 56-60, 62, 63] and three cluster-RCTs [40,43,61] contributed data of 11, 385 randomized participants from 11 different countries (Table 1). Sample sizes at randomization ranged from 31 to 2286 participants [43,60]. Children were followed-up from 1 month to 7 years postpartum.…”

Section: Study and Population Characteristicsmentioning

confidence: 99%

“…Materials for monitoring and self-assessment, including weight gain charts, logbooks, and pedometers complemented the intervention in a majority of studies (Additional file 1: Table S2). Thirteen studies delivered interventions in pregnancy only, while seven studies continued intervention sessions postpartum [42,43,45,49,57,59,63]. While comparator groups generally received only country-specific prenatal care, in a few studies, some lifestyle advice or full intervention sessions [49,50,52], were provided to controls, also.…”

Section: Study and Population Characteristicsmentioning

confidence: 99%

“…When studies judged to be at a high risk of bias were excluded from meta-analyses, results for weight and length Delta Healthy Sprouts [57] FeLIPO [40] GeliS [43] Healthy Mom Zone [65] Kong et al [48], 2014 Stafne et al [62], 2012 VIGA [63] Delta Healthy Sprouts [57] FeLIPO [40] GeliS [43] Stafne et al [62], 2012 VIGA [63] Delta Healthy Sprouts [57] FeLIPO [40] GeliS [43] HAPPY [59] Kong et al [48], 2014 LIMIT [52] NAMI [45] RADIEL [42] ROLO [47] Stafne et al [62], 2012 UPBEAT [50] VIGA [63] Chiavaroli et al [56], 2018 Delta Healthy Sprouts [57] FeLIPO [40] GeliS [43] HAPPY [59] Healthy Moms [51] RADIEL [42] Stafne et al [62], 2012 VIGA [63] LIMIT [53] LiPO [55] Stafne et al [62], 2012 VIGA [63] Chiavaroli et al [56], 2018 LIMIT [46] NELLI [61] RADIEL [42] VIGA [ remained consistent (Additional file 1: Table S6A-B). BMI was no longer significantly higher in children of the intervention groups over 12 months to under 3 years old (Additional file 1:…”

Section: Sensitivity Analysesmentioning

confidence: 99%

See 4 more Smart Citations

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

Raab

Michel

Günther

et al. 2021

Int J Behav Nutr Phys Act

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Statistical Analysesmentioning

confidence: 99%

Section: Study Selectionmentioning

confidence: 99%

Section: Study and Population Characteristicsmentioning

confidence: 99%

Section: Study and Population Characteristicsmentioning

confidence: 99%

Section: Sensitivity Analysesmentioning

confidence: 99%

See 3 more Smart Citations

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

Raab

Michel

Günther

et al. 2021

Int J Behav Nutr Phys Act

Self Cite

View full text Add to dashboard Cite

show abstract

Effectiveness of nutritional counseling with overweight pregnant women on child growth at 6 months: A randomized controlled trial

Santos,

Carvalho,

Baroni

et al. 2024

Nutrition

View full text Add to dashboard Cite

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Infant growth during the first year of life following a pregnancy lifestyle intervention in routine care—Findings from the cluster‐randomisedGeliStrial

Cited by 15 publications

References 44 publications

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

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

Effectiveness of nutritional counseling with overweight pregnant women on child growth at 6 months: A randomized controlled trial

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

Contact Info

Product

Resources

About