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Lifestyle intervention to prevent excessive maternal weight gain: mother and infant follow-up at 12 months postpartum

  • Kathrin Rauh1, 2,
  • Julia Günther1, 3, 4,
  • Julia Kunath1, 3, 4,
  • Lynne Stecher4 and
  • Hans Hauner1, 3, 4Email author
Contributed equally
BMC Pregnancy and Childbirth201515:265

https://doi.org/10.1186/s12884-015-0701-2

Received: 28 April 2015

Accepted: 8 October 2015

Published: 15 October 2015

Abstract

Background

Excessive gestational weight gain (GWG) is associated with elevated weight retention in mothers and might be related to adiposity of their offspring. Little is known if lifestyle intervention during pregnancy has beneficial effects for mothers and children beyond gestation.

Methods

A cluster-randomized controlled intervention trial was performed with 250 pregnant women in 8 gynaecological practices. Lifestyle intervention was carried out twice with individual counselling sessions on nutrition, physical activity and weight monitoring. Participants in the control group received routine prenatal care and an information leaflet. Follow-up data of women and their offspring were collected one year postpartum (pp) by phone call and/or via e-mail using a structured questionnaire. Maternal weight retention at 12 months pp and weight development of the children in their first year of life was compared between groups using linear regression. The association between energy and macronutrient intake during pregnancy with maternal weight retention and children weight development was also assessed.

Results

The intervention resulted in a trend towards lower mean weight retention 12 months pp (0.2 vs. 0.8 kg), but was not statistically significant (p = 0.321). Among women receiving lifestyle counselling, only 8 % retained more than 5 kg weight while 17 % in the control group retained >5 kg (OR: 0.40 (95 % CI: 0.16, 0.97)). For the whole study cohort, an association between higher GWG and increased 12 month weight retention was found (0.4 kg weight retention per 1 kg increase in GWG, p < 0.001). Weight development of the infants did not differ between groups in the first months after birth. At the 10th–12th month weight measurement, infants born to mothers in the intervention group tended towards lower body weights. Both energy intake and macronutrient composition of the diet during pregnancy did not affect maternal weight retention and weight development of the infants.

Conclusions

Lifestyle counselling during pregnancy to avoid GWG had a rather modest effect on maternal pp weight retention and weight development of the infants. However, larger intervention studies and longer follow-up are required to be able to draw definite conclusions.

Trial registration

German Clinical Trials Register DRKS00003801.

Keywords

Gestational weight gain (GWG) Lifestyle intervention Pregnancy Postpartum weight retention Obesity prevention and management Childhood adiposity

Background

Over the last decades, the global prevalence of obesity has increased considerably [1]. A rise in the prevalence of obesity has also been observed in Germany where more than 23 % of both adult men and women are obese [2]. Especially among young adults aged 25–34 years, including women of reproductive age, an alarming rise in the prevalence of obesity has been reported [3]. Hence, this trend is relevant in the area of pregnancy and childbirth. Maternal overweight and obesity have become a major health problem bearing risks for both mothers and children [49].

In addition to obesity, excessive gestational weight gain (GWG) has been identified as a risk factor for pregnancy complications [1016]. Additionally, the amount of weight gain during pregnancy may have a strong impact on maternal weight retention [1720] and seems to be a predictive factor for the long-term development of obesity in the mother [18, 2123]. Excessive GWG can also affect foetal growth and is associated with an increased proportion of large for gestational age (LGA) newborns [16, 2426]. In addition, excessive gestational weight gain was reported to be associated with childhood obesity [2735] and obesity in later stages of life [3640].

Lifestyle intervention during pregnancy seems to be a promising strategy to prevent excessive GWG [4145]. We have previously reported the first results of a lifestyle intervention in pregnancy to reduce the rate of excessive gestational weight gain (FeLIPO trial) [46]. The lifestyle intervention resulted in a lower proportion of women exceeding the recommendations of the Institute of Medicine (IOM) for GWG (38 % vs. 60 %, p < 0.05), and participants in the intervention group gained significantly less weight than those in the control group (14.1 vs. 15.6 kg, p < 0.05). Furthermore, the results suggested that weight retention was higher in the control group than in the intervention group at month four postpartum (pp) (3.3 vs. 2.1 kg, p = 0.09). There was no evidence of a difference in birth weight between the two groups.

The aim of the present study was to analyse the follow-up results of the FeLIPO trial regarding weight development of mothers and infants at 12 months pp. The main hypothesis was that a lifestyle intervention successfully limiting excessive GWG may also beneficially influence pp maternal and early childhood weight development. Next to the impact of lifestyle intervention during pregnancy on these parameters, associations with GWG were investigated. In addition, the potential association between dietary intake and physical activity during pregnancy with pp maternal and infant weight outcomes was studied.

Methods

Study design

The study design of the FeLIPO study has been described elsewhere [46]. In brief, it was a cluster-randomized controlled lifestyle intervention trial aiming to prevent excessive GWG. The study protocol was approved by the ethical committee of the Technische Universität München and registered in the German Clinical Trials Register (www.germanctr.de, DRKS00003801). The study population consisted of 250 healthy, pregnant women, who were recruited from eight gynaecological practices by their staff between February 2010 and August 2011 in the Munich area, Germany. Four practices were randomly assigned as intervention practices recruiting 167 pregnant women, whereas 83 women were recruited from the other four practices representing the control group. Women were recruited before the 18th week of their pregnancy and gave their written, informed consent for participation. The FeLIPO intervention programme consisted of two individual counselling sessions given by trained researchers at the 20th and 30th week of gestation. Counselling sessions were structured and comprised three main components: a healthy diet, advice on physical activity and weight monitoring using the IOM charts of recommended GWG. Participants in the control group received routine prenatal care and an information leaflet with general statements about a healthy lifestyle during pregnancy.

Measures and data collection

Pre-pregnancy weight, height, age and sociodemographic data were self-reported by the participants at the time of recruitment. At every antenatal visit, weight and pregnancy complications were routinely documented in the “Mutterpass” (maternity card). Practice staff copied maternity cards and birth records at the first postnatal visit. These records were used for data retrieval on birth data and complications during pregnancy and delivery. GWG was defined as the difference between body weight at the last obstetric visit prior to delivery (at a median time point of 38 weeks and 38.5 weeks in control and intervention group respectively, derived from maternity cards) and the self-reported pre-pregnancy weight.

Two follow-up interviews (phone call and/or e-mail) were arranged four months and one year pp in both groups. At these time points, self-reported data on maternal weights as well as breastfeeding data were collected. Weight retention at 12 months pp was defined as the difference in the self-reported weight at 12 months pp and the self-reported weight pre-pregnancy. In addition, women reported weight development of their children as assessed at the routine check-ups at the pediatricians, the so called “U-Untersuchungen”. These check-ups are conducted at defined time points and are documented in the “Kinder-Untersuchungsheft”, a small booklet, which is provided to all mothers in Germany. Body weight, height and health status at the U2 (3rd to 10th day pp), U3 (4th to 6th wk pp), U4 (3rd to 4th month pp), U5 (6th to 7th month pp) and U6 (10th to 12th month pp) were retrieved for the analysis.

Dietary intake was assessed using 7–day dietary records, which were completed three times (16th–18th week [baseline], 26th–28th week and 36th–38th week of gestation) in the intervention and twice (16th–18th week [baseline], 36th–38th week of gestation) in the control group, respectively. Energy and macronutrient (fat, carbohydrate, protein and dietary fibre) intake was calculated using the nutrition software OptiDiet (version 5.0.0.029; Gesellschaft für optimierte Ernährung mbH-GOE, Linden, Germany). Dietary records with implausible energy intake were excluded from the statistical analysis. Underreporting of energy intake was defined using the cut off limit of Goldberg et al. (1.1 × BMR) [47]. BMR was calculated using the equation of Hronek et al. [48]. In the statistical analysis, we used the energy and macronutrient data at the 16th–18th and 36th–38th weeks of gestation together with the change between these measurements. Physical activity of women was assessed with the IPAQ’s long version in the 16th–18th week, 26th–28th week and 36th–38th week of gestation in both groups [49].

Statistical analyses

Maternal weight retention at 12 months pp

To assess differences in mean weight retention between the intervention and control group, a linear regression model was fitted with weight retention as the outcome variable and group as the fixed effect. In adjusted analyses, a random intercept for practice was added to the model, together with age, pre-pregnancy BMI and time of 12 month follow-up as fixed effects. The proportion of women with relevant weight retention (>5 kg) was compared between groups with an analogous logistic regression model. The threshold of 5 kg was chosen as it represents a clear increase in body weight associated with later obesity [50, 51]. Exclusive and total breastfeeding duration was compared between groups using t tests.

Linear regression models were fitted to the 12 month weight retention data to assess the association with GWG and the various components of dietary intake at 16 weeks, 36 weeks and the change over this time. Analyses were also performed adjusting for practice, age, pre-pregnancy BMI, time of follow-up and group. Associations between physical activity in the 16th–18th week, 26th–28th week and 36th–38th week of pregnancy and 12 month weight retention were assessed in the same manner.

Infant weight outcomes

Mean differences in the weight of the infants between groups were assessed via separate linear regression models at each follow-up visit (U2, U3, U4, U5 and U6). The outcome variable was the infant’s weight with group as a fixed effect. In adjusted analyses, a random intercept for practice was added to the model together with fixed effects for maternal age, pre-pregnancy maternal BMI, infant age at follow-up, birth weight and group.

The association between GWG, dietary outcomes and physical activity during pregnancy with infant weight at U6 were assessed using linear regression analyses, in a similar manner to maternal weight retention.

All of the analyses are exploratory and the resulting p values have not been corrected for multiple testing. The results presented correspond to complete-case analyses. However, due to the presence of missing data (particularly for the dietary outcomes), we additionally conducted multiple imputation analyses. Results for the multiple imputation analyses are given as supplementary material (see Additional file 1: Tables S1–S3).

Results

Participant flow

The participant flow in the FeLIPO study including the follow-up is shown in Fig. 1. Eighty three and 167 women were enrolled in the standard care and intervention group, respectively. From the second follow-up interview at 12 months pp, weight data were available for 213 women (65 in the standard care group and 148 in the intervention group). We were therefore able to follow-up 85.2 % of the participants initially recruited. Weight data from the U6 visit (10 to 12 months pp) were available for 220 infants (70 in the standard care and 150 in the intervention group). In some cases follow-up data were only available for children and not for their mothers as they either did not know their current body weight or did not want to report it. Eight women who withdrew from the study due to a miscarriage (2 women), abortion (2 women) or pregnancy complications (4 women) were excluded from the multiple imputation analyses.
Fig. 1

Study scheme of the FeLIPO study with follow-up

Maternal weight retention

The mean weight changes for the women based on their pre-pregnancy weight according to group are shown in Fig. 2. At 12 months pp, the mean weight retention was higher in the control group (0.8 ± 5.7 kg) than in the intervention group (0.2 ± 3.6 kg). However, this difference in means was not statistically significant in unadjusted analysis (−0.5 kg (95 % CI: −1.8, 0.7), p = 0.402) or after adjusting for practice, age, pre-pregnancy BMI and time of 12 month follow-up (−1.0 kg (95 % CI: -3.2, 1.2), p = 0.321). Exclusive and total breastfeeding duration did not significantly differ between intervention and control group (130.7 vs. 116.3 days, p = 0.180; 232.1 vs. 219.4 days, p = 0.465). Further adjustment for breastfeeding duration did not change results. In the lifestyle intervention group, the proportion of women with weight retention >5 kg was 8.1 % 12 months pp whereas in the control group, 16.9 % retained >5 kg (OR: 0.43 (95 % CI: 0.18, 1.05), p = 0.061). This difference was statistically significant after adjusting for age, pre-pregnancy BMI, time of 12 month follow-up and practice (OR: 0.40 (95 % CI: 0.16, 0.97), p = 0.044).
Fig. 2

Mean weight change of the women in relation to pre-pregnancy weight. Body weight change (± s.d.) between pre-pregnancy and the last obstetric visit prior to delivery and body weight change until 4 and 12 months postpartum are displayed. The number of women providing data in the control group was 83, 74, 72 and 65 pre-pregnancy and at the mentioned time points respectively, and 167, 152, 152 and 148 in the intervention group

For the whole study cohort, there is evidence of an association between greater GWG and increased 12 month weight retention. The unadjusted estimate for the effect of a 1 kg increase in GWG on 12 month weight retention was 0.4 kg (95 % CI: 0.3, 0.5), p < 0.001 and 0.4 kg (95 % CI: 0.2, 0.5), p < 0.001 after adjusting for potential confounders.

The results in Table 1 show that there is no evidence of an association between recorded dietary intake during pregnancy, in terms of energy and macronutrient intake, and weight retention at 12 months pp. Also for macronutrient intake calculated in percent of energy and physical activity data during pregnancy, no significant associations were found (data not shown).
Table 1

The association between reported dietary intake during pregnancy and weight retention at 12 months postpartum

Dietary component

Unadjusted effect size (95 % CI)

Pa

Adjusted effect size (95 % CI)

Pb

Energy intake (100 kcal/day)

    

 16th-18th week

0.10 (−0.05, 0.26)

0.180

0.09 (−0.07, 0.24)

0.283

 36th-38th week

0.05 (−0.12, 0.23)

0.564

0.02 (−0.16, 0.20)

0.818

 Change

0.06 (−0.11, 0.23)

0.499

0.06 (−0.12, 0.24)

0.495

Fat (g/day)

    

 16th-18th week

0.02 (−0.01, 0.05)

0.306

0.01 (−0.02, 0.04)

0.461

 36th-38th week

0.01 (−0.02, 0.04)

0.598

0.00 (−0.03, 0.04)

0.844

 Change

0.00 (−0.03, 0.04)

0.797

0.00 (−0.03, 0.04)

0.861

Carbohydrates (g/day)

    

 16th-18th week

0.01 (−0.00, 0.02)

0.254

0.01 (−0.01, 0.02)

0.340

 36th-38th week

0.00 (−0.01, 0.01)

0.918

−0.00 (−0.01, 0.01)

0.744

 Change

0.00 (−0.01, 0.02)

0.542

0.00 (−0.01, 0.02)

0.577

Protein (g/day)

    

 16th-18th week

0.03 (−0.00, 0.07)

0.086

0.03 (−0.01, 0.07)

0.129

 36th-38th week

0.04 (−0.01, 0.08)

0.111

0.04 (−0.00, 0.08)

0.081

 Change

0.02 (−0.02, 0.06)

0.372

0.03 (−0.02, 0.07)

0.212

Fibre (g/day)

    

 16th-18th week

0.01 (−0.08, 0.10)

0.777

−0.01 (−0.10, 0.09)

0.881

 36th-38th week

−0.02 (−0.11, 0.08)

0.688

−0.04 (−0.13, 0.06)

0.461

 Change

0.02 (−0.09, 0.13)

0.695

0.01 (−0.10, 0.13)

0.820

Data from 233 women, 170 women and 168 women were available for the 16th-18th week, 36th-38th week and dietary change analyses respectively

Effect sizes from regression models as estimated marginal mean difference (95 % CI)

aunadjusted model

blinear mixed model adjusted for practice (random factor), maternal age, pre-pregnancy BMI, time of follow-up and group

Infant weight progression

The weight trajectories for the infants according to the group to which their mother was assigned are given in Fig. 3. The corresponding results for between group differences at U2, U3, U4, U5 and U6 are given in Table 2. There is no evidence of a difference in weight trajectories up to and including U5 (6th to 7th month pp). At U6 (10th to 12th month pp), there is some evidence that infants born to mothers in the intervention group weighed less than control group infants (−354 g (95 % CI: −626, −82), p = 0.011). However, the estimated mean difference between the groups at 12 months was not statistically significant after adjusting for practice, maternal age, pre-pregnancy maternal BMI, infant age at follow-up and birth weight (−257 g (95 % CI: −578, 65), p = 0.099). After additional adjustment for breastfeeding duration, body weights were also not statistically significantly different between the two groups (-220 g (95 % CI: -538, 98), p = 0.141).
Fig. 3

Mean weight of the infants (± s.d.) at each time point according to group

Table 2

Infant weight at follow-up visits and the estimated mean weight differences between the groups

Age

 

Control group

Intervention group

Unadjusted effect size (95 % CI)

Pa

Adjusted effect size (95%CI)

Pb

3rd to 10th day

n

72

151

    

Time after birth (days)

3 (3–4)

3 (2–3.25)

    

Weight (g)

3200 ± 414

3227 ± 392

27 (−86, 139)

0.640

21 (−23, 65)

0.283

4th to 6th week

n

73

153

    

Time after birth (days)

33 (29–37)

32 (28–37)

    

Weight (g)

4362 ± 607

4346 ± 499

−16 (−166, 134)

0.832

−29 (−150, 93)

0.584

3rd to 4th month

n

72

154

    

Time after birth (days)

103 (93–113)

103 (93–114)

    

Weight (g)

6395 ± 920

6209 ± 725

−186 (−409, 37)

0.102

−191 (−466, 84)

0.140

6th to 7th month

n

70

151

    

Time after birth (days)

191 (182–206)

195 (182–208)

    

Weight (g)

8079 ± 1085

7845 ± 859

−234 (−501, 33)

0.085

−209 (−511, 93)

0.142

10th to 12th month

n

70

150

    

Time after birth (days)

365 (350–377)

358 (342–371)

    

Weight (g)

9736 ± 999

9382 ± 931

−354 (−626, −82)

0.011

−257 (−578, 65)

0.099

Data are given as means ± SD or median (interquartile range)

Effect sizes from regression models as estimated marginal mean difference (95 % CI)

a unadjusted model

b linear mixed model adjusted for practice (random factor), maternal age and pre-pregnancy BMI, infant age at follow-up and birth weight

There is some evidence of an association between greater GWG and increased weight of infants at 12 months of age. In unadjusted analysis, the estimated effect of a 1 kg increase in GWG is 39 g (95 % CI: 10, 68), p = 0.009. After adjusting for confounders, the estimated effect size is smaller and not statistically significant: 26 g (95 % CI: −2, 54), p = 0.074.

The results in Table 3 show that there is no evidence of an association between recorded dietary intake during pregnancy and infant’s weight at 12 months. Also for macronutrient intake calculated in percent of energy and physical activity data during pregnancy, no significant associations were found (data not shown).
Table 3

The association between reported dietary intake during pregnancy and infant weight at 12 months

Dietary component

Unadjusted effect size (95 % CI)

Pa

Adjusted effect size (95 % CI)

Pb

Energy intake (100 kcal/day)

    

 16th-18th week

−17 (−52, 17)

0.317

−9 (41, 23)

0.575

 36th-38th week

13 (−26, 53)

0.510

16 (−22, 54)

0.402

 Change

5 (−35, 44)

0.813

4 (−34, 41)

0.853

Fat (g/day)

    

 16th-18th week

−3 (−10, 4)

0.359

−2 (−8, 4)

0.537

 36th-38th week

2 (−6, 9)

0.650

2 (−6, 9)

0.659

 Change

2 (−6, 9)

0.652

1 (−6, 8)

0.803

Carbohydrates (g/day)

    

 16th-18th week

−1 (−4, 1)

0.341

−1 (−3, 2)

0.618

 36th-38th week

1 (−2, 4)

0.514

1 (−1, 4)

0.355

 Change

0 (−3, 3)

0.879

0 (−2, 3)

0.829

Protein (g/day)

    

 16th-18th week

−1 (−9, 8)

0.896

1 (−7, 9)

0.794

 36th-38th week

2 (−8, 12)

0.672

2 (−7, 11)

0.677

 Change

−2 (−12, 8)

0.693

−3 (−12, 6)

0.547

Fibre (g/day)

    

 16th-18th week

−7 (28, 13)

0.486

4 (−16, 23)

0.723

 36th-38th week

−1 (−22, 20)

0.927

2 (−18, 23)

0.828

 Change

−3 (−29, 23)

0.815

−8 (33, 16)

0.500

Effect sizes from regression models as estimated marginal mean difference (95 % CI)

a unadjusted model

b linear mixed model adjusted for practice (random factor), maternal age and pre-pregnancy BMI, infant age at follow-up, birth weight and group

Multiple imputation results (available as supplementary material, see Additional file 1) are consistent with the complete-case results presented.

Discussion

We investigated mothers’ and infants’ 12-month pp follow-up weight data after lifestyle intervention during pregnancy. The intervention had resulted in reduced mean GWG in pregnant women. 12 months after delivery, the amount of weight retained did not significantly differ between the former intervention and control groups. A tendency towards lower mean weight retention among women who had received the intervention was nevertheless visible. The proportion of women with relevant weight retention (>5 kg) 12 months pp was by trend higher in the group not receiving lifestyle intervention during pregnancy. At 6 months pp, a tendency towards lower weight retention was also found in other intervention studies [43, 52, 53]. Longer-term pp weight data (>6 months) after lifestyle intervention in pregnancy is scarce and controversial. Behavioural intervention was found to be associated with reduced weight retention 12 months pp in an American study [54]. In obese women, a difference in weight change between early pregnancy and 12 months after childbirth due to a lifestyle intervention was indicated by Claesson et al. [52]. By contrast, weight retention was reduced by antenatal lifestyle intervention only in the subgroup of low-income overweight women in a study of Olson et al. [55], and Althuizen et al. [56] could not find any effect on weight retention. As evidence for long-term effects of lifestyle interventions on pp weight development of women is limited, further research in large intervention studies with adequate follow-up duration is required.

An association between GWG and pp weight retention is well established from cohort studies. For the whole cohort of the present study, higher weight gain during pregnancy was associated with increased weight retention 12 months pp (0.4 kg weight retention per 1 kg increase in GWG). High GWG has been linked to increased short-term weight retention in several observational studies [20, 5759]. Nehring et al. [18] concluded in a meta-analysis that GWG is also associated with long-term weight retention, being in line with the results of a recently published large prospective cohort study [60]. However, GWG is not the only factor influencing weight retention after gestation. Other factors discussed in this context are breastfeeding [22, 61], the women’s educational level [61], parity [62], diet [63] and physical activity [22, 63]. In conclusion, the extent of GWG seems to be not the only but an important influencing factor for long-term pp weight retention. Having an effect on weight retention after pregnancy, high GWG has also been linked to women’s long-term BMI development and obesity risk [17, 2123, 61, 6467]. Lifestyle counselling has the potential to favour adequate GWG and could by this means also be of help in the prevention of long-term development of overweight and obesity in women.

In the present study, counselling lessons were given only during pregnancy. Prolonging the intervention to the pp period may reinforce the reducing effect on maternal weight retention. However, Wilkinson et al. [68] recently found no impact of a pp intervention programme on pp body weight, whereas Huang et al. [53] showed that starting intervention during pregnancy and continuing it pp can lead to reduced weight retention. Additional counselling lessons after childbirth subsequent to lifestyle intervention during pregnancy may thus be beneficial, but need to be evaluated in more clinical studies.

Weight data of children were collected for U2 (3rd to 10th day pp) to U6 (10th to 12th month pp). At U6, infants born to mothers in the intervention group tended to weigh less than control group infants. This may partly be explained by a beneficial effect of lifestyle counselling during pregnancy on the offspring’s weight development. Next to intrauterine mechanisms during gestation potentially related to a healthier lifestyle of women in the intervention group, other triggers could be responsible for this observation. For example, breastfeeding and its duration [6973] seems to be of relevance for the weight development of children. Lifestyle counselling was not continued after delivery and topics such as nutrition of the infant were not covered in the lessons. It can nevertheless not be completely ruled out that women encouraged towards a healthy lifestyle during pregnancy developed increased consciousness to healthy feeding their children. Following adjustment for breastfeeding, the estimated weight difference between the groups was reduced. Although mothers in the intervention group tended to breastfeed their offspring a bit longer, no statistically significant group difference could be found.

Independently of the allocation to the intervention or control group, there was some evidence for an association between higher GWG and increased infant body weight at the age of 10–12 months. An association between high GWG and increased weight of children has also been reported in observational studies [74, 75]. This speaks in favour of intrauterine effects during pregnancy on later weight development of children. Nevertheless, the genetic background as well as the environment shared by mother and infant are factors that should not be neglected in this context [76, 77]. Breastfeeding, for example, seems to mitigate the association between GWG and childhood anthropometrics [73]. As implied by the slight weight difference only visible at the 12 months measurement point in this study, differences in body weight may arise delayed in time. As also proposed by others [78], follow-up of children after lifestyle intervention in pregnancy is essential for the clarification of in utero effects during gestation on later overweight or obesity. Intervention studies targeting GWG with adequate follow-up periods are thus urgently required.

As published previously [46], lifestyle counselling during pregnancy could be shown to have an impact on the caloric intake of the pregnant women. In the context of this follow-up analysis, energy and macronutrient intake during pregnancy was analysed with respect to maternal weight retention (12 months pp) and weight development of their children. However, no association with weight retention or infant body weight at the age of 12 months could be found. It seems to be difficult to establish a relation between nutrient intake in pregnancy and maternal weight retention or weight development of their children. However, this may be also due to the fact that the pp situation is too complex as there are many factors which could influence this association. Potential associations between the intake of single nutrients and outcome parameters may be too weak to be clearly identifiable. Analysing dietary patterns instead of single nutrients could be a more promising approach in the identification of potential associations with the mentioned weight parameters.

A limitation of this study is the difference in baseline characteristics, e.g. pre-pregnancy weight, between intervention and control group. Despite including these parameters as adjustment variables, an impact of these differences on the results cannot be excluded. Additionally, more women participated in practices allocated to the intervention group than in control practices, causing unequal group sizes. Another limitation is the missing verifiability of maternal weight data. While body weights of children were documented by pediatricians as part of the routine health care, maternal pre-pregnancy and 12 month pp weight data were self-reported. However, self-reported maternal weight data have been reported to provide valid estimates [79] and are widely used in lifestyle intervention studies during pregnancy [80]. Additional controlling for paternal anthropometrics might also have an influence on infant weight data. Physical activity and nutrition behaviour of women after birth as well as food intake of children was not studied, which may have added valuable additional information.

To confirm the outcomes of the present pilot study, we initiated another large lifestyle intervention study (GeliS, acronym for “Gesund leben in der Schwangerschaft”/healthy living in pregnancy) [81]. This currently ongoing large-scale intervention study aims to recruit and follow-up 2500 pregnant women. With a study population tenfold as large as the one of the FeLIPO study spread over ten regions of Bavaria, we aim to overcome these limitations. An enhanced number of counselling sessions, reaching from early pregnancy to the pp period, will intensify the lifestyle intervention. In order to investigate long-term effects on weight trajectories of children, an extended follow-up period up to the age of 5 years including assessment of dietary behaviour of children is planned.

Conclusion

In addition to reducing the amount of pregnancies with excessive weight gain, counselling on a healthy diet, physical activity and weight monitoring during pregnancy may have the potential to limit 1-year post-partum weight retention. Children of women receiving lifestyle counselling may be at lower risk for the long-term development of overweight, but both outcomes need to be further confirmed. Large-scale intervention trials such as the currently ongoing GeliS study are urgently required to clearly establish the potential benefits of a lifestyle intervention programme onto the health of pregnant women and their offspring.

Notes

Declarations

Acknowledgements

We thank Elisabeth Gabriel, Eva Kerschbaum and Elisabeth Strauss for their assistance with study procedures. We are grateful to Prof. Dr. KTM Schneider, Prof. Dr. Rüdiger von Kries and Dr. Ulrike Amann-Gassner for contributing their valuable knowledge to the study design and for giving scientific advice for the trial. Particular thanks go to all women with their infants who participated in the study and provided us with further data during the follow-up. We want to thank gynaecologists and practice staff for recruitment support and their assistance with data collection. The study was partially funded by the Else Kröner-Fresenius Foundation, Bad Homburg. This work was supported by the German Research Foundation (DFG) and the Technische Universität München within the funding programme Open Access Publishing.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
ZIEL – Research Centre for Nutrition and Food Sciences, Technische Universität München
(2)
Competence Centre for Nutrition (KErn)
(3)
Else Kröner-Fresenius-Center for Nutritional Medicine, Chair of Nutritional Medicine, Technische Universität München
(4)
Else Kröner-Fresenius-Centre for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München

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