During the perinatal period, modifiable behaviours contributing to excess weight gain, including sugar-sweetened beverage (SSB) intake, are understudied. We examined the extent to which perinatal SSB intake affects postpartum weight retention (PPWR).

We measured SSB intake frequency in the third trimester and 1-month postpartum using the NHANES Dietary Screener Questionnaire. We assessed the association between SSB intake and PPWR (difference between 6-month postpartum and pregravid weight) using multivariable regression adjusted for socio-demographic and anthropometric variables.

Greater Boston area.

Three hundred forty-eight mother–infant pairs in the Rise and SHINE prospective birth cohort.

Mean age was 32·7 (sd 5·0) years; the sample was 47 % white, 32 % Hispanic, 14 % Asian and 7 % Black. Women reported mean daily SSB intake frequencies of 0·9 (sd 1·2) and 0·7 (sd 1·0) times/d in the third trimester and 1-month postpartum, respectively. At 6-month postpartum, average weight retention was 3·4 (sd 5·7) kg; 108 (sd 31 %) women had substantial PPWR, defined as a ≥ 5 kg increase between pregravid and 6-month postpartum weight. Each 1-time/d increment in SSB intake frequency during the third trimester (β = 0·46 kg (95 % CI, 0·07, 0·86)) and 1-month postpartum (β = 0·52 kg (95 % CI 0·03, 1·00)) was associated with higher weight retention at 6 months. Increased SSB intake frequency in the third trimester (OR: 1·37; 95 % CI 1·10, 1·75) and 1-month postpartum (OR: 1·17; 95 % CI 0·92, 1·52) resulted in higher odds of substantial PPWR.

SSB consumption during the perinatal period is associated with higher weight retention at 6-month postpartum. Avoiding SSB may reduce the risk of excess weight retention.

To evaluate the associations of pregestational BMI, gestational weight gain (GWG) and breast-feeding at 1 month postpartum with four patterns of weight change during the first year after delivery: postpartum weight retention (PPWR), postpartum weight gain (PPWG), postpartum weight retention + gain (PPWR + WG) and return to pregestational weight.

In this secondary analysis of a prospective study, we categorised postpartum weight change into four patterns using pregestational weight and weights at 1, 6 and 12 months postpartum. We evaluated their associations with pregestational BMI, GWG and breast-feeding using multinomial logistic regression. Results are presented as relative risk ratios (RRR) and 95 % CI.

Mexico City.

Women participating in the Programming Research in Obesity, Growth, Environment and Social Stressors pregnancy cohort.

Five hundred women were included (53 % of the cohort). Most women returned to their pregestational weight by 1 year postpartum (57 %); 8 % experienced PPWR, 14 % PPWG and 21 % PPWR + WG. Compared with normal weight, pregestational overweight (RRR 2·5, 95 % CI 1·3, 4·8) and obesity (RRR 2·2, 95 % CI 1·0, 4·7) were associated with a higher risk of PPWG. Exclusive breast-feeding, compared with no breast-feeding, was associated with a lower risk of PPWR (RRR 0·3, 95 % CI 0·1, 0·9). Excessive GWG, compared with adequate, was associated with a higher risk of PPWR (RRR 3·3, 95 % CI 1·6, 6·9) and PPWR + WG (RRR 2·4, 95 % CI 1·4, 4·2).

Targeting women with pregestational overweight or obesity and excessive GWG, as well as promoting breast-feeding, may impact the pattern of weight change after delivery and long-term women’s health.

To examine the gestational weight gain (GWG) trajectory and its possible association with pregnancy outcomes.

GWG trajectories were identified using the latent class growth model. Binary logistic regression was performed to examine the associations between adverse pregnancy outcomes and these trajectories.

Negeri Sembilan, Malaysia.

Two thousand one hundred ninety-three pregnant women.

Three GWG trajectories were identified: ‘Group 1 – slow initial GWG but followed by drastic GWG’, ‘Group 2 – maintaining rate of GWG at 0·58 kg/week’ and ‘Group 3 – maintaining rate of GWG at 0·38 kg/week’. Group 1 had higher risk of postpartum weight retention (PWR) (adjusted OR (AOR) 1·02, 95 % CI 1·01, 1·04), caesarean delivery (AOR 1·03, 95 % CI 1·01, 1·04) and having low birth weight (AOR 1·04, 95 % CI 1·02, 1·05) compared with group 3. Group 2 was at higher risk of PWR (AOR 1·18, 95 % CI 1·16, 1·21), preterm delivery (AOR 1·03, 95 % CI 1·01, 1·05) and caesarean delivery (AOR 1·02, 95 % CI 1·01, 1·03), but at lower risk of having small-for-gestational-age infants (AOR 0·97, 95 % CI 0·96, 0·99) compared with group 3. The significant associations between group 1 and PWR were observed among non-overweight/obese women; between group 1 and caesarean delivery among overweight/obese women; group 2 with preterm delivery and caesarean delivery were only found among overweight/obese women.

Higher GWG as well as increasing GWG trajectories was associated with higher risk of adverse pregnancy outcomes. Promoting GWG within the recommended range should be emphasised in antenatal care to prevent the risk of adverse pregnancy outcomes.

Weight gained during pregnancy and postpartum weight retention might contribute to obesity in women of childbearing age. Whether breast-feeding (BF) may decrease postpartum weight retention (PPWR) is still controversial. The purpose of our systematic review and meta-analysis was to investigate the relationship between BF and PPWR.

Three databases were systematically reviewed and the reference lists of relevant articles were checked. Meta-analysis was performed to quantify the pooled standardized mean differences (SMD) of BF on PPWR by using a random-effect model. Heterogeneity was tested using the χ2 test and I2 statistics. Publication bias was estimated from Egger’s test (linear regression method) or Begg’s test (rank correlation method).

Among 349 search hits, eleven studies met the inclusion criteria for the meta-analysis. Seven studies were conducted in the USA, one in Brazil, one in France, one in Georgia and one in Croatia. Compared with formula-feeding, BF for 3 to ≤6 months seemed to have a negative influence on PPWR and if BF continued for >6 months had little or no influence on PPWR. In a subgroup meta-analysis, the results did not change substantially after the analysis had been classified by available confounding factors. There was no indication of a publication bias from the result of either Egger’s test or Begg’s test.

Although the available evidence held belief that BF decreases PPWR, more robust studies are needed to reliably assess the impact of patterns and duration of BF on PPWR.

To determine the association of gestational weight gain (GWG) or pre-pregnancy BMI with postpartum weight retention (PPWR).

Meta-analysis.

PubMed, Cochrane Controlled Trials Register, EMBASE, Science Citation Index Expanded, Current Contents Connects and Biosis Previews were used to search articles.

Publications that described the influence of pre-pregnancy BMI or GWG on PPWR.

Seventeen studies that satisfied the eligibility criteria were included in the analyses. Women with inadequate and excessive GWG had significantly lower mean PPWR of −2·14 kg (95 % CI –2·43, –1·85 kg) and higher PPWR of 3·21 kg (95 % CI 2·79, 3·62 kg), respectively, than women with adequate GWG. When postpartum time spans were stratified into 1–3 months, 3–6 months, 6–12 months, 12–36 months and ≥15 years, the association between inadequate GWG and PPWR faded over time and became insignificant (−1·42 kg; 95 % CI −3·08, 0·24 kg) after ≥15 years. However, PPWR in women with excess GWG exhibited a U-shaped trend; that is, a decline during the early postpartum time span (year 1) and then an increase in the following period. Meta-analysis of qualitative studies showed a significant relationship between excessive GWG and higher PPWR risk (OR=2·08; 95 % CI 1·60, 2·70). Moreover, meta-analysis of pre-pregnancy BMI on PPWR indicated that mean PPWR decreased with increasing BMI group.

These findings suggest that GWG, rather than pre-pregnancy BMI, determines the shorter- or longer-term PPWR.

To identify factors potentially associated with weight retention measured 9 months after childbirth.

Prospective study with four follow-up waves in time (0.5, 2, 6 and 9 months postpartum).

Rio de Janeiro, Brazil.

Two hundred and sixty-six Brazilian women of childbearing age. Analysis was based on hierarchical logistic regression. The dependent variable was weight retention and was defined as the difference between weight at 9 months postpartum and pre-pregnancy weight, with a dichotomised cut-off at 7.5 kg. Covariates included demographic and socio-economic data, obstetric history, anthropometric data, and data on the infant. These data were grouped in blocks and ordered according to their influence on the dependent variable.

Of the women studied, 19.2% presented weight retention values ≥7.5 kg. According to the logistic regression analysis, the following variables remained associated with weight retention ≥7.5 kg: total family income, difficulty or inability to read a letter, age category ≥30 years, age at first childbirth <23 years, gestational weight gain ≥12 kg, body fat at baseline ≥30% and infant birth weight <3500 g. Infant hospitalisation was only marginally significant.

Determinant factors identified by the analysis highlight the need for nutritional intervention policies during pregnancy and in the first months postpartum as a way of minimising obesity and the diseases resulting from it.