Predictors of postpartum weight retention among urban Malaysian mothers: A prospective cohort study

Cervical length screening among low-risk women; relationship of body mass index on cervical length and risk of preterm birth

BACKGROUND

Preterm birth (PTB) contributes to nearly 11% of all deliveries in the world. The majority of spontaneous preterm birth (sPTB) remains unexplained. Risk factors include abnormal body mass index (BMI), short cervical length, comorbidities and many more. However, there is limited study on the association between body mass index, cervical length and preterm birth in Malaysia among low-risk women. Hence, we aim to examine the relationship between body mass index, cervical length and the risk of spontaneous preterm birth.

METHOD

In this prospective cohort study, pregnant women between 16 and 24 weeks who fulfilled the criteria were recruited. Women with history of preterm birth were excluded. Demographic and clinical data (age, BMI, ethnicity, education level and parity) were obtained. Cervical length was measured using transvaginal scan. Patients were then followed up till delivery to determine their delivery gestation and outcome of delivery.

RESULTS

Out of 153 women who participated in this study, 146 women had cervical length of more than 30 mm, six had cervical length between 25 mm and 30 mm and one had cervical length of 24 mm. There were nine (9) cases of sPTB, with all of them being late preterm with normal midtrimester cervical length. Almost half of them (44%) were overweight/obese. A significant association was found between age, cervical length, and parity compared to BMI. Nevertheless, no significant association was seen between the BMI and risk of sPTB.

CONCLUSION

This study demonstrates a higher BMI is associated with longer cervical length, but it is not necessarily protective against sPTB. Hence, we concluded there is a limited role in cervical length screening among low-risk women regardless of their BMI in predicting sPTB.

Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study

BACKGROUND

Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from consumer wearables for PPD recognition.

OBJECTIVE

The main goal of this study was to showcase the viability of using machine learning (ML) and digital biomarkers related to heart rate, physical activity, and energy expenditure derived from consumer-grade wearables for the recognition of PPD.

METHODS

Using the All of Us Research Program Registered Tier v6 data set, we performed computational phenotyping of women with and without PPD following childbirth. Intraindividual ML models were developed using digital biomarkers from Fitbit to discern between prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods. Models were built using generalized linear models, random forest, support vector machine, and k-nearest neighbor algorithms and evaluated using the κ statistic and multiclass area under the receiver operating characteristic curve (mAUC) to determine the algorithm with the best performance. The specificity of our individualized ML approach was confirmed in a cohort of women who gave birth and did not experience PPD. Moreover, we assessed the impact of a previous history of depression on model performance. We determined the variable importance for predicting the PPD period using Shapley additive explanations and confirmed the results using a permutation approach. Finally, we compared our individualized ML methodology against a traditional cohort-based ML model for PPD recognition and compared model performance using sensitivity, specificity, precision, recall, and F1-score.

RESULTS

Patient cohorts of women with valid Fitbit data who gave birth included <20 with PPD and 39 without PPD. Our results demonstrated that intraindividual models using digital biomarkers discerned among prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods, with random forest (mAUC=0.85; κ=0.80) models outperforming generalized linear models (mAUC=0.82; κ=0.74), support vector machine (mAUC=0.75; κ=0.72), and k-nearest neighbor (mAUC=0.74; κ=0.62). Model performance decreased in women without PPD, illustrating the method's specificity. Previous depression history did not impact the efficacy of the model for PPD recognition. Moreover, we found that the most predictive biomarker of PPD was calories burned during the basal metabolic rate. Finally, individualized models surpassed the performance of a conventional cohort-based model for PPD detection.

CONCLUSIONS

This research establishes consumer wearables as a promising tool for PPD identification and highlights personalized ML approaches, which could transform early disease detection strategies.

Effect of mode of delivery on postpartum weight retention: A systematic review and meta-analysis

OBJECTIVE

Retention of weight gained over pregnancy increases the risk of long-term obesity and related health concerns. While many risk factors for this postpartum weight retention have been examined, the role of mode of delivery in this relationship remains controversial. We carried out a systematic review and meta-analysis to determine the effect of mode of delivery on postpartum weight retention.

METHODS

Ten electronic databases including PubMed, Cochrane Library, EMBASE, Web of Science, MEDLINE, CINAHL, China National Knowledge Infrastructure (CNKI), Wan-Fang database, the VIP database and China Biology Medicine Database (CBM) were searched from inception through November 2022. Review Manager 5.4 was used to pool the study data and calculate effect sizes. For dichotomous data, the odds ratio and 95 % confidence interval were used to report the results. For continuous data, the mean difference (MD) and 95 % confidence interval were used to report the results. The outcomes were the amount of postpartum weight retention and the number or proportion of women who experienced postpartum weight retention. The Newcastle- Ottawa Scale (NOS) and GRADE Guidelines were used to assess the methodological quality of the included studies.

FINDINGS

A total of 16 articles were included in the systematic review and 13 articles were included in the meta-analysis. The results showed that the mode of delivery had a significant effect on postpartum weight retention, women who delivered by caesarean section were more likely to experience postpartum weight retention compared to those who delivered vaginally. Sensitivity analysis showed that the results were stable and credible.

CONCLUSION

Due to the limitations of this study, the findings need to be treated with caution. And, to better prevent the postpartum weight retention, future practice and research need to further focus on upstream modifiable factors.

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.

Dietary patterns and their associations with postpartum weight retention: results of the MINA cohort study

PURPOSE

To examine the association of prepregnancy dietary patterns with postpartum weight retention at 6 months (PPWR6) among Lebanese and Qatari women.

METHODS

Data for this study were derived from the Mother and Infant Nutrition Assessment (MINA) prospective cohort study conducted in Lebanon and Qatar. Pregnant women were recruited during their first trimester and were followed up for three years. For the purpose of this study, data belonging to sociodemographic characteristics of participants, prepregnancy dietary intake, prepregnancy BMI as well as weight retention at 6 months were used. Dietary intake was examined using a 98-item food frequency questionnaire. Principal component analysis was used for the derivation of dietary patterns. The associations of dietary patterns with PPWR6 were examined using simple and multiple linear regressions.

RESULTS

Data was available for 177 participants (Lebanon: 93; Qatar: 84). Mean PPWR6 was 4.05 ± 5.29 kg. Significantly higher PPWR6 was observed among participants with pre-pregnancy overweight/obesity and among those with excessive gestational weight gain. Two dietary patterns were identified: the "Western" and the "Varied" patterns. After adjustment for confounders, a positive association was observed between the 'Western' pattern scores and PPWR6 (ß = 1.27; 95% CI 0.68-1.86; p value: < 0.0001).

CONCLUSION

Higher adherence to the Western pattern was associated with higher PPWR6 amongst women, hence underscoring the importance of public health interventions aimed at fostering healthier dietary habits during this crucial stage of the lifecycle.

Excessive gestational weight gain and emotional eating are positively associated with postpartum depressive symptoms among taiwanese women

BACKGROUND

Excessive gestational weight gain and emotional eating may be associated with postpartum depression symptoms. This study was designed to identify how gestational weight gain and eating behaviors are related to postpartum depression (PPD) symptoms among women in Taiwan.

METHODS

A cross-sectional study was conducted from March 2022 to October 2022 with 318 postpartum women recruited in Taipei, Taiwan. Gestational weight gain (GWG) for the total pregnancy period was recorded as inadequate, adequate, or excessive, based on the 2009 Institute of Medicine recommendations (IOM), accounting for pre-pregnancy body mass index category. Eating behavior at one month postpartum was measured on a 16-item 5-point Likert scale with three subscales: uncontrolled, restrained, and emotional. Maternal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale with a cutoff score of 13.

RESULTS

The prevalence of postpartum depression symptoms (Edinburgh Postnatal Depression Scale ≥ 13) was 23.9% at one month postpartum. Logistic regression analysis revealed that excessive gestational weight gain and emotional eating were positively associated with postpartum depression symptoms at that time.

CONCLUSION

Evidence presented here suggests that emotional eating and excessive GWG are associated with PPD symptoms in a Taiwanese population. In addition, it should be a public health priority to ensure a particular focus on mental health during the postpartum period. Healthcare providers should discourage pregnant women from unhealthy eating habits by targeting appropriate GWG and focusing on demand eating to reduce PPD in the postpartum period.

The relationship between social determinants of health and postpartum weight retention based on the World Health Organization model: path analysis

BACKGROUND

Postpartum weight retention (PPWR) causes obesity, chronic diseases, and occurring adverse maternal-fetal and neonatal outcomes. Given the social factors' effect on health and disease and considering the lack of information on social determinants of health (SDH) effects on PPWR, this study was conducted to survey the relationship between SDH and PPWR based on the World Health Organization (WHO) model.

METHODS

A cross-sectional study was performed on 400 women six months after delivery in 2020. Twelve health centers were randomly selected from the three universities of Medical Sciences in the city of Tehran, Iran. Participants were selected by convenience method and based on eligibility. Questionnaires used included: Lifestyle Profile Health Promoting II, Short Form Postpartum Quality of Life Questionnaire, Multidimensional Scale of Perceived Social Support, Postpartum Social Support, Depression Anxiety Stress Scales, and questionnaires designed by reviewing the literature about breastfeeding, sleep, contraceptive, child health, unhealthy behaviors, postpartum nutritional awareness/beliefs, body satisfaction, access to postpartum care, socioeconomic status, demographic, and obstetric questionnaire. Data analysis was performed in SPSS-23, and the relationship model was examined using the path analysis method in LISREL-8.8.

RESULTS

Path analysis indicated the direct effect of six intermediate factors on PPWR including: gestational weight gain (β = 0.42), access to postpartum care (β = 0.11), postpartum nutritional awareness/beliefs (β=-0.17), anxiety (β = 0.09), sleep duration (β=-0.09), pre-pregnancy body mass index (β = 0.09). Among the structural factors, woman's education and socioeconomic status had an indirect negative effect on PPWR. The model fit indices showed good fit (RMSE = 0/05, GFI = 0.92, CFI = 0.92, χ²/df = 2.17).

CONCLUSION

The results indicate the effect of structural and intermediate determinants of health on PPWR. It is recommended to use the proposed model as an appropriate framework in the research, design, and implementation of programs to prevent and control PPWR.

Postpartum weight retention and its association with socio-demographic and obstetrics correlates: A cross-sectional hospital-based preliminary survey in India

BACKGROUND AND AIMS

Postpartum weight retention can predispose women to an elevated risk of obesity and associated complications. The study aims to assess the magnitude of postpartum weight retention and its association with socio-demographic and obstetrics correlates.

METHODS

A cross-sectional survey was carried out in February and March 2022 via telephonic interviews. Convenience sampling technique was used for recruiting postpartum women in first three months, four to six months and beyond six months post-delivery (date of delivery January 2021 to January 2022). Chi² test and regression analysis were employed to study the association of socio-demographic and obstetrics correlates with postpartum weight retention.

RESULTS

The final sample comprised 505 postpartum women with a mean age of 29 ± 4 years. The mean postpartum weight retention was 4.96 ± 3.64 kg, 5.38 ± 3.93 kg and 5.80 ± 3.95 kg in the first three months, four to six months and beyond six months post-delivery respectively. In the first three months, socio-economic status and gestational weight gain were associated with weight retention (p < 0.05). In four-six months, type of family, education qualification, and gestational weight gain were associated with weight retention (p < 0.05). Beyond six months post-delivery, gestational weight gain was associated with postpartum weight retention (p < 0.05).

CONCLUSION

The findings provide preliminary data on the magnitude of weight retention in Indian postpartum women. Postpartum women are at an increased risk of weight retention with the overall shift to a higher body mass index category as compared to the pre-pregnancy period. It is crucial to timely screen women at risk and implement weight management strategies.

The Profiling of Diet and Physical Activity in Reproductive Age Women and Their Association with Body Mass Index

Pre-pregnancy, pregnancy and postpartum are critical life stages associated with higher weight gain and obesity risk. Among these women, the sociodemographic groups at highest risk for suboptimal lifestyle behaviours and core lifestyle components associated with excess adiposity are unclear. This study sought to identify subgroups of women meeting diet/physical activity (PA) recommendations in relation to sociodemographics and assess diet/PA components associated with body mass index (BMI) across these life stages. Cross-sectional data (Australian National Nutrition and Physical Activity Survey 2011–2012) were analysed for pre-pregnancy, pregnant and postpartum women. The majority (63–95%) of women did not meet dietary or PA recommendations at all life stages. Core and discretionary food intake differed by sociodemographic factors. In pre-pregnant women, BMI was inversely associated with higher whole grain intake (β = −1.58, 95% CI −2.96, −0.21; p = 0.025) and energy from alcohol (β = −0.08, −0.14, −0.005; p = 0.035). In postpartum women, BMI was inversely associated with increased fibre (β = −0.06, 95% CI −0.11, −0.004; p = 0.034) and PA (β = −0.002, 95% CI −0.004, −0.001; p = 0.013). This highlights the need for targeting whole grains, fibre and PA to prevent obesity across life stages, addressing those most socioeconomically disadvantaged.

Awareness, Beliefs and Perspectives Regarding Weight Retention and Weight Gain among Postpartum Women in India: A Thematic Analysis of Focus Group Discussions and In-Depth Interviews

Background and Aims

The pregnancy weight is usually retained in the form of abdominal fat during the postpartum period. The willingness to lose weight is influenced by knowledge, attitude, beliefs and practices. This study aims to comprehend the awareness, beliefs and perspectives of postpartum women regarding their perceived factors, barriers and facilitators associated with post-pregnancy weight status.

Methods

Overweight and obese postpartum women aged between 20 and 40 years and had delivered an infant in the last 2 years were recruited via convenience and purposive sampling techniques. The final sample comprised 27 participants with a mean age of 29.96 ± 4.50 years. Four focus group discussions and eight in-depth interviews carried out were audio-recorded and transcribed verbatim. Codes, sub-themes and themes were generated using Atlas.ti 9 software.

Results

Major themes identified were perceived factors causing postpartum weight retention/weight gain including social and cultural beliefs related to diet and exercise specifically associated with this period, perceived motivators and deterrents of weight loss including eagerness to lose weight and perceived facilitators and barriers to weight loss including intrinsic and extrinsic factors such as time, energy, evidence-based knowledge about diet and physical activity, family support and obligation to family’s advice.

Conclusion

The unique challenges and barriers associated with postpartum weight loss efforts should be taken into consideration by healthcare professionals and public health policy-makers to design strategies specific to postpartum women.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13224-022-01644-9.

Executive summary of evidence and consensus-based clinical practice guideline for management of obesity and overweight in postpartum women: An AIIMS-DST initiative

INTRODUCTION

Postpartum obesity is a public health concern. There is a need to counsel women about their postpartum weight management, accounting for various barriers they face. Limited literature in the Indian context underscored the need to develop the clinical practice guideline to be used by healthcare providers in Indian healthcare settings.

METHODS

The guideline was formulated by following the standardised methodology proposed by the National Health and Medical Research Council. Various steps such as identification of the patient population, assembly of the guideline development groups, identification of the key clinical questions, guideline development methods, grading the quality of evidence and recommendations and guideline translation were carried out to develop and validate the clinical practice recommendations.

RESULTS

The evidence and consensus-based clinical practice guideline has been developed, providing recommendations for key topics of interest for first-line treatment of obesity (lifestyle-related management). Recommendations focus on screening and initiating discussion with overweight and obese postpartum women as well as those who had normal pre-pregnancy body mass index but have retained excessive weight in the postpartum period. Recommendations highlight the evaluation and management of dietary, physical activity and breastfeeding behaviour. Recommendations also account for behavioural modification techniques to improve adherence to the prescribed weight management advice. Duration and frequency of follow-ups as well as the advice to be disseminated have also been discussed in the recommendations.

CONCLUSION

The guideline provides clinical practice points that can be used by healthcare providers, postpartum women and policymakers for opportunistic screening and management of postpartum obesity.

Adherence to the Mediterranean diet and its association with environmental footprints among women of childbearing age in the United Arab Emirates

PURPOSE

To examine the association of adherence to the Mediterranean Diet (MD) with Environmental Footprints (EFPs) among women of childbearing age in the United Arab Emirates (UAE).

METHODS

Data belonging to a nationally representative sample of 482 women (19-50 years) were derived from a previous survey in the UAE. In face-to-face interviews, participants completed questionnaires addressing sociodemographic, physical activity, and dietary intake characteristics; the latter assessed using a multiple pass 24-h recall. The composite Mediterranean (c-MED) index was used to examine the adherence to the MD. Metrics for the EFPs (water use, energy use, and GHG emissions) were calculated using Life Cycle Analyses. Descriptive statistics and linear regressions were used in data analysis.

RESULTS

In the study sample, the distribution of the c-MED scores was skewed to the right, indicating a low adherence to the MD. The lowest contributions to the total c-MED score were observed for legumes (2.9%) and olive oil (1.8%). The EFPs associated with food consumption per 1000 kcal were: water use: 1256.89 ± 544.95 L/day; energy use: 18.01 ± 7.85 MJ/day, and GHG: 2.46 ± 1.46 kg CO_{2 eq}/day. After adjustment for age, energy intake, and potential confounders, being adherent to the MD was associated with 540.57 [95% CI (- 726.6; - 354.54)] units decrease in water use and 0.94 units decrease in GHG emissions [95% CI (- 1.45; - 0.43)].

CONCLUSIONS

The findings of this study revealed an inverse association between adherence to the MD and EFPs. As such, the MD may represent a promising dietary strategy to improve health outcomes and reduce the environmental impact. Public health programs addressing the low adherence to the MD among women of childbearing age in the UAE are warranted.

Maternal Obesity and Its Associated Factors and Outcomes in Klang Valley, Malaysia: Findings from National Obstetric Registry

INTRODUCTION

Maternal obesity presents significant health risks to mothers and their fetuses. This study aimed to determine the proportion, associated factors and outcomes of maternal obesity among pregnant women in Klang Valley, Malaysia.

METHODS

A retrospective cross-sectional study was conducted between January 2018 and March 2018 using secondary data from the Malaysian National Obstetric Registry (NOR) for the year 2015. All pregnant women with first-trimester booking at 12 weeks and below that were registered with the NOR and met the inclusion and exclusion criteria were included in the study. Descriptive statistics and multiple logistic regression analysis were used. Data were analysed using SPSS version 22.0. A total of 2113 respondents were included in this study to determine the proportion, associated factors and outcomes of maternal obesity. Regarding the univariate and multivariate analyses, respondents were classified into two groups: normal and obese. The obese group comprised overweight and obese mothers. The underweight group was excluded in the subsequent analysis.

RESULTS

Out of the 2113 respondents, 7.1% were underweight, 41.7% were of normal weight, 28.6% were overweight, 15.9% were in obese class I, 4.6% were in obese class II, and 2.1% were in obese class III according to the WHO (1995) reference. However, when the MOH (2003) cutoff point was used, there was a marked increase in the proportion of respondents in the overweight categories by 2.7% and obesity class I by 12.8%. The Indian (AdjOR 2.06, 95% CI: 1.11, 3.83, p=0.021) and Malay (AdjOR 1.75, 95% CI: 1.02, 3.00, p=0.040) ethnicities, as well as both multiparity (AdjOR 1.46, 95% CI: 1.23, 1.73, p <0.001) and grand multiparity (AdjOR 2.41, 95% CI: 1.78, 3.26, p <0.001), were significantly associated with maternal obesity. There were significant association between maternal obesity with hypertensive disorder in pregnancy (p=0.025), caesarean section delivery (p=0.002) and macrosomic infant (p <0.001).

CONCLUSION

The identification of risk factors for maternal obesity is important to facilitate intervention programmes focused on improving the pregnancy outcomes for a high-risk group of women.

Weight management in postpartum women - An Indian perspective

BACKGROUND AND AIMS

This narrative review is intended to present an evidence and opinion-based weight management module for Indian postpartum women to be used by clinicians.

MATERIAL AND METHODS

Electronic databases such as PubMed and Google Scholar were accessed to extract relevant studies to derive evidence-based information. The reference list of the extracted studies was also checked to obtain further relevant articles. The opinion-based information was achieved from the consensus among the gynaecologists, nutritionists and doctors from Medicine according to their practical experiences in real time. In this review, we have used the term "postpartum" to represent the time period of two years after delivery.

RESULTS

A postpartum weight management module consisting of information about diet, physical activity, sleep and breastfeeding was devised to be used in regular clinical practice, particularly in the Indian settings.

CONCLUSION

Postpartum women deal with various unique challenges as compared to other population groups. Individualised weight management strategies should be adopted to facilitate sustainable postpartum weight management.

Adherence to the Mediterranean diet during pregnancy is associated with lower odds of excessive gestational weight gain and postpartum weight retention: results of the Mother-Infant Study Cohort

During the first 1000 d of life, gestational weight gain (GWG) and postpartum weight retention (PPWR) are considered critical determinants of nutritional status. This study examined the effect of adherence to the Mediterranean diet (MD) during pregnancy on GWG and PPWR at 2 and 6 months among women in the United Arab Emirates (UAE), using data from the Mother-Infant Study Cohort. The latter is a prospective study, for which pregnant women were recruited (n 243) during their third trimester and were followed up for 18 months. Data on socio-demographic characteristics and anthropometric measurements were obtained. An eighty-six-item FFQ was used to examine dietary intake during pregnancy. Adherence to the MD was assessed using the alternate MD (aMED) and the Lebanese MD (LMD). Adherence to the MD, PPWR2 (2 months) and PPWR6 (6 months) were considered high if participants belonged to the third tertile of the respective measures. Results indicated that 57·5 % of participants had excessive GWG while 50·7 % and 45 % retained ≥ 5 kg at 2 and 6 months postpartum, respectively. After adjustment, adherence to both MD scores was associated with lower odds of excessive GWG (aMED, OR:0·41, 95 % CI:0·18, 0·93; LMD, OR:0·40, 95 % CI: 0·16, 0·98). Adherence to MD was also associated with PPWR2 (aMED: OR: 0·23, 95 % CI: 0·06, 0·88) and PPWR6 (aMED OR:0·26; 95 % CI:0·08-0·86; LMD, OR:0·32; 95 % CI: 0·1, 0·98). The findings of this study showed that adherence to the MD may reduce GWG and PPWR and, hence, underscored the importance of promoting the MD for better health of the mother and infant.

Evolution of Postpartum Weight and Body Composition after Excessive Gestational Weight Gain: The Role of Lifestyle Behaviors-Data from the INTER-ACT Control Group

Women with excessive gestational weight gain are at increased risk of postpartum weight retention and potentially also unfavorable body composition. Insight into the lifestyle behaviors that play a role in the evolution of postpartum weight and body composition among these women could aid identification of those at highest risk of long-term adverse outcomes. This secondary analysis of the INTER-ACT randomized controlled trial investigates control group data only (n = 524). The evolution of weight retention, percentage loss of gestational weight gain, fat percentage, waist circumference, and associated lifestyle behaviors between 6 weeks and 12 months postpartum were assessed using mixed model analyses. At six weeks postpartum, every sedentary hour was associated with 0.1% higher fat percentage (P = 0.01), and a higher emotional eating score was associated with 0.2% higher fat percentage (P < 0.001) and 0.3 cm higher waist circumference (P < 0.001). Increase in emotional eating score between 6 weeks and 6 months postpartum was associated with a 0.4 kg (P = 0.003) increase in postpartum weight retention from six months onwards. Among women with overweight, an increase in the uncontrolled eating score between 6 weeks and 6 months postpartum was associated with a 0.3 kg higher postpartum weight retention (P = 0.04), and 0.3% higher fat percentage (P = 0.006) from six months onwards. In conclusion, sedentary and eating behaviors play important roles in postpartum weight and body composition of women with excessive gestational weight gain and should therefore be incorporated as focal points in lifestyle interventions for this population.

The Relationship of Diet and Physical Activity with Weight Gain and Weight Gain Prevention in Women of Reproductive Age

Reproductive-age women often see increased weight gain, which carries an increased risk of long-term overweight and obesity and adverse maternal and child health outcomes. Supporting women to achieve optimal weight through lifestyle modification (diet and physical activity) is of critical importance to reduce weight gain across key reproductive life-stages (preconception, pregnancy and postpartum). This review comprehensively summarizes the current state of knowledge on the contribution of diet and physical activity to weight gain and weight gain prevention in reproductive-aged women. Suboptimal diets including a higher proportion of discretionary choices or energy intake from fats, added sugars, sweets or processed foods are associated with higher weight gain, whereas increased consumption of core foods including fruits, vegetables and whole grains and engaging in regular physical activity are associated with reduced weight gain in reproductive age women. Diet and physical activity contributing to excessive gestational weight gain are well documented. However, there is limited research assessing diet and physical activity components associated with weight gain during the preconception and postpartum period. This review highlights the need for further research to identify key dietary and physical activity components targeting the critical windows of reproductive life-stages in women to best guide interventions to prevent weight gain.

Postpartum depression symptoms in survey-based research: a structural equation analysis

BACKGROUND

Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women.

METHODS

We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model.

RESULTS

Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong.

CONCLUSION

The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

Low selenium intake is associated with postpartum weight retention in Chinese women and impaired physical development of their offspring

The aim of this study was to investigate the association between daily Se intake and postpartum weight retention (PPWR) among Chinese lactating women, and the impact of their Se nutritional status on infants' physical development. Se contents in breast milk and plasma collected from 264 lactating Chinese women at the 42nd day postpartum were analysed with inductively coupled plasma MS. Daily Se intake was calculated based on plasma Se concentration. The dietary data of 24-h records on three consecutive days were collected. Infant growth status was evaluated with WHO standards by Z-scores. Linear regression analyses and multinomial logistic regression were conducted to examine the impact of Se disequilibrium (including other factors) on PPWR and growth of infants, respectively. The results indicated that: (1) the daily Se intake of the subjects was negatively associated with their PPWR (B = -0·002, 95 % CI - 0·003, 0·000, P = 0·039); (2) both insufficient Se daily intake (B = -0·001, OR 0·999, 95 % CI 0·998, 1·000, P = 0·014) and low level of Se in milk (B = -0·025, OR 0·975, 95 % CI 0·951, 0·999, P = 0·021) had potential associations with their infants' wasting, and low level of Se in milk (B = -0·159, OR 0·853, 95 % CI 0·743, 0·980, P = 0·024) had a significant association with their infants' overweight. In conclusion, the insufficient Se nutritional status of lactating Chinese women was first found as one possible influencing factor of their PPWR as well as low physical development of their offspring.

Postpartum Weight Retention and Its Determinants in Lebanon and Qatar: Results of the Mother and Infant Nutrition Assessment (MINA) Cohort

Excessive Postpartum Weight Retention (PWR) is postulated to increase the risk of adverse health outcomes for mothers and offspring. Using data from the Mother and Infant Nutritional Assessment (MINA) cohort in Lebanon and Qatar, this study aimed to examine PWR and its determinants at 6 months after delivery. Pregnant women (n = 183) were recruited during their first trimester and were followed up through pregnancy and after delivery. During this period, face-to-face interviews as well as extraction from medical charts were conducted to collect data regarding the socioeconomic, anthropometric and dietary intake of participants. The mean PWR (kg) among participants was 3.1 ± 5.6 at delivery, and 3.3 ± 5.3 and 2.7 ± 4.7 at 4 and 6 months after delivery, respectively. Results of the multiple logistic regression analyses showed that a Qatari nationality and excessive GWG were associated with higher odds of a high PWR (above median) while an insufficient GWG had lower odds. After adjustment for energy, participants with a high PWR reported a greater intake of proteins, Trans fat, cholesterol, sodium and lower intakes of mono and polyunsaturated fat as compared to those with a low PWR (below median). These findings suggested priority areas for interventions to prevent excessive PWR amongst women of childbearing age in Lebanon and Qatar.

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Predictors and consequences of weight retention in the early and late postpartum period in women with gestational diabetes

AIMS

To assist preventive strategies, we investigated the predictors and consequences of postpartum weight retention (PPWR) in the early and late postpartum period in women with gestational diabetes (GDM).

METHODS

862 women with GDM between 2011 and 2019 were prospectively included. We investigated PPWR at 6-8 weeks (n = 862) and at 1-year (n = 259) postpartum. Potential predictors included gestational weight gain (GWG), weight, BMI, and glucose control parameters during and after pregnancy.

RESULTS

Mean PPWR at 6-8 weeks and 1-year postpartum were 4.6 ± 5.7 kg and 4.0 ± 7.4 kg. The proportion of women with PPWR at 6-8 weeks and at 1-year postpartum were 81% and 66.4% respectively. At 6-8 weeks postpartum, women with PPWR had higher pre-pregnancy weight, 7.5 ± 0.2 kg higher GWG and higher postpartum weight (all p ≤ 0.02), without presenting metabolic differences. At 1-year postpartum, there were no differences in anthropometric parameters before and during pregnancy between women with or without PPWR, except for a 4 ± 0.4 kg higher GWG (p < 0.001). However, women with PPWR had increased postpartum weight and BMI, higher fasting glucose and more pronounced increase in Δfasting glucose and ΔHbA1c at 1-year postpartum (all p ≤ 0.03). GWG predicted higher PPWR at both 6-8 weeks and at 1-year postpartum (all p < 0.001).

CONCLUSION

Women with PPWR had increased anthropometric parameters and adverse metabolic consequences at 1-year postpartum. GWG was the most relevant predictor of PPWR.

Postpartum Physical Activity and Weight Retention within One Year: A Prospective Cohort Study in Vietnam

After delivery, mothers are encouraged to increase physical activity (PA) gradually to regulate body weight; however, data on PA in relation to postpartum weight retention remains scarce, particularly among Asian women. In a cohort of 1617 Vietnamese mothers, we investigated the prospective association between habitual PA exposures at 3-month postpartum and weight retention at 6-month and 12-month postpartum. Detailed information on PA intensity and domains was collected from participants using a validated instrument specifically for Vietnamese women. Linear regression analyses and a general linear model for the repeated weight retention measures were used to ascertain the apparent relationships. On average, the participants reported 3.6 (SD 3.9) and 2.6 (SD 3.8) kg weight loss at 6- and 12-month postpartum, respectively. Total and light-intensity PA were inversely associated with the postpartum weight retention (p for trend <0.05). Our findings highlight the importance of resuming PA in the early postpartum period as an appropriate weight management strategy.

Intuitive eating is associated with improved health indicators at 1-year postpartum in women with gestational diabetes mellitus

We evaluated the associations between intuitive eating during and after pregnancy with metabolic health at 1-year postpartum in women with gestational diabetes mellitus and in high-risk gestational diabetes mellitus subgroups. One hundred seventeen women who consented and completed the French intuitive eating questionnaire during and after pregnancy were included. We found an association between intuitive eating during and after pregnancy with lower body mass index, weight retention, fasting glucose, and HbA1c at 1-year postpartum in women with gestational diabetes mellitus and in high-risk gestational diabetes mellitus subgroups with overweight/obese or with prediabetes in the postpartum period. Our results suggest that intuitive eating could be an effective intervention for weight and glucose control in women with gestational diabetes mellitus.

Postpartum weight retention in relation to gestational weight gain and pre-pregnancy body mass index: A prospective cohort study in Vietnam

BACKGROUND

The prevalence of maternal overweight and obesity is increasing in Asia. This study prospectively investigated the association between pre-pregnancy body mass index (BMI), gestational weight gain (GWG) and 12-month postpartum weight retention (PPWR) in a large cohort of Vietnamese mothers.

METHODS

Of the 2030 pregnant women recruited from three cities in Vietnam at 24-28 weeks of gestation, a total of 1666 mothers were followed up for 12 months after delivery and available for analysis. The outcome variable PPWR was determined by subtracting the pre-pregnancy weight from the 12-month postpartum measured weight, while GWG and pre-pregnancy BMI were classified according to the Institute of Medicine and WHO criteria for adults, respectively. Linear regression models were used to ascertain the association between pre-pregnancy BMI, GWG and PPWR accounting for the effects of plausible confounding factors.

RESULTS

Both pre-pregnancy BMI and GWG were significantly associated with PPWR (P<0.001). The adjusted mean weight retention in underweight women before pregnancy (3.71kg, 95% confidence interval (CI) 3.37-4.05) was significantly higher than that in those with normal pre-pregnancy weight (2.34kg, 95% CI 2.13-2.54). Women with excessive GWG retained significantly more weight (5.07kg, 95% CI 4.63-5.50) on average at 12 months, when compared to mothers with adequate GWG (2.92kg, 95% CI 2.67-3.17).

CONCLUSIONS

Being underweight before pregnancy and excessive GWG contribute to greater weight retention twelve months after giving birth. Interventions to prevent postpartum maternal obesity should target at risk women at the first antenatal visit and control their weight gain during the course of pregnancy.