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

2021 ◽  
pp. 1-12
Author(s):  
Feng Han ◽  
Yiqun Liu ◽  
Xuehong Pang ◽  
Qin Wang ◽  
Liping Liu ◽  
...  

Abstract 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.

2020 ◽  
pp. 1-11
Author(s):  
Diana Cristina Soria-Contreras ◽  
Martha María Téllez-Rojo ◽  
Alejandra Cantoral ◽  
María Luisa Pizano-Zárate ◽  
Emily Oken ◽  
...  

Abstract Objective: 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. Design: 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. Setting: Mexico City. Participants: Women participating in the Programming Research in Obesity, Growth, Environment and Social Stressors pregnancy cohort. Results: 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). Conclusions: 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.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Meichen Wang ◽  
Ai Zhao ◽  
Wei Wu ◽  
Jian Zhang ◽  
Zhongxia Ren ◽  
...  

Abstract Objectives Excess postpartum weight retention (PPWR) is related to postpartum obesity. This study was aimed to investigate the prevalence of PPWR in urban Chinese women, and to identify its associated risk factors. Methods This cohort study recruited 240 women from 2 hospitals in Beijing, 1 hospital in Xuchang and 1 hospital in Suzhou. A questionnaire was used to obtain the sociodemographic characteristics, information of pre-pregnancy weight and prepartum weight within 5 days of delivery. Anthropometric indicators of height and weight were measured by trained nurses, and 1-month and 6-month postpartum weight were tracked. Results A total of 219 participants were included in present study. The pre-pregnancy BMI of all participants was 21.1 ± 3.2 kg/m2, while the mean gestational weight gain (GWG) was 15.8 ± 5.5 kg. 61.6% of women had PPWR over 5kg at 1 month, and decreased to 37.0% at 6 months. Meanwhile, the mean PPWR was 7.8 ± 4.2 kg at 1-month and 6.6 ± 4.4 kg at 6-month. Pre-pregnancy BMI and GWG were significantly correlated with 1-month PPWR, the odds ratios(ORs) were 0.67 (0.58, 0.77) and 1.31 (1.19, 1.45), respectively, after adjusted for maternal characteristics, gestational age, mode of delivery and exercise. In addition, pre-pregnancy BMI (adjusted OR: 0.61 (0.51, 0.72)) and GWG (adjusted OR:1.21 (1.11, 1.33)) were significantly associated with 6-month PPWR. Conclusions In urban china, PPWR is a serious nutritional problem. Control pre-pregnancy BMI and GWG were crucial to reducing PPWR, and a comprehensive nutritional education and intervention should be conducted. Funding Sources The National Science and Technology Pillar Program (2017YFD0400602).


2016 ◽  
Vol 19 (4) ◽  
pp. 691-694 ◽  
Author(s):  
Neal D. Goldstein ◽  
Stephanie Rogers ◽  
Deborah B. Ehrenthal

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rebecca Harris ◽  
Marijka Batterham ◽  
Elizabeth Neale ◽  
Isabel Ferreira

Abstract Background High risk of bias associated with missing outcome data (MOD) in meta-analyses (MAs) of the effects of lifestyle interventions during pregnancy on postpartum weight retention (PPWR), casts doubt on whether such interventions can be relied upon as truly effective, since estimates are deemed valid only if MOD was missing at random (MAR). Methods We conducted a systematic overview of MAs to examine the impact of MOD on the estimation of meta-analytic summary intervention effects and conducted sensitivity analyses using pattern mixture models and informative missingness parameters (describing how the outcome in the missing participants may be related to the outcome in the completers), to ascertain the robustness of the estimates to reasonable deviations from the MAR assumption. Results Three relevant MAs were identified, all with high MOD rates in the RCTs included (median>30%), and all reporting beneficial intervention effects on PPWR (in kg) estimated based on complete case analyses: [-0.78 (95%CI: -1.39,-0.16), -0.81 (-1.57,-0.06), and -0.94 (-1.52,-0.37)] in MAs of any lifestyle, exercise, or diet + exercise interventions, respectively. In plausible scenarios where the outcome for the intervention group in participants with vs without MOD was worse (by 0.5kg), effect estimates were attenuated in all and no longer significant in 2 of the MAs [-0.58 (-1.29,0.13), -0.70 (-1.50,0.10) and -0.88 (-1.73,-0.02)]. Conclusions Statistical significance was retained when all 19 RCTs identified across MAs were meta-analysed: -0.63 (-0.17,-0.08). Key messages The clinical relevancy of effects of this magnitude remains unclear.


2014 ◽  
Vol 77 (5) ◽  
pp. 351-358 ◽  
Author(s):  
Rui S. Xiao ◽  
Aimee R. Kroll-Desrosiers ◽  
Robert J. Goldberg ◽  
Sherry L. Pagoto ◽  
Sharina D. Person ◽  
...  

Author(s):  
Madhuri Palnati ◽  
Bess H. Marcus ◽  
Penelope Pekow ◽  
Milagros C. Rosal ◽  
JoAnn E. Manson ◽  
...  

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 746-746
Author(s):  
Saralyn Foster ◽  
Christian Vazquez ◽  
Catherine Cubbin ◽  
Amy Nichols ◽  
Rachel Rickman ◽  
...  

Abstract Objectives Breastfeeding is a potentially modifiable factor associated with less postpartum weight retention; however, in the United States women with lower socioeconomic status (SES) are less likely to initiate breastfeeding and, therefore, may be at higher risk for long-term weight retention. We sought to describe associations between duration of breastfeeding with postpartum weight retention and later BMI, and to determine whether associations varied by SES. Methods Maternal and infant data (n = 2144 dyads) are from the Geographic Research on Wellbeing survey (GROW), a follow-up study of California's annual statewide-representative Maternal and Infant Health Assessment. Pre-pregnancy BMI was obtained from self-report; at 4–10y postpartum, breastfeeding history and self-reported body weight were collected. Multivariable linear regression was used to examine associations between breastfeeding and long-term maternal body size. SES was calculated as a composite score of % federal poverty threshold plus education and was dichotomized. Results Overall, mean prepregnancy BMI was 24.9 kg/m,2 while long-term weight retention 4–10 y postpartum was 4.0 kg. The sample average breastfeeding duration was 8.5 months with 61% meeting the World Health Organization (WHO) recommendations for 6 months of breastfeeding. In adjusted models, compared to women who did not meet recommendations, women who met WHO recommendations had slightly lower long-term postpartum weight retention (b = −1.06 kg, CI: −1.93, −0.25, p = 0.01) and a small reduction in BMI (b = −0.4 kg/m,2 95% CI −0.74, −0.08; p = 0.02). Compared to higher SES women, fewer lower SES women ever breastfed (89% vs 74%, p < .0001) or met WHO recommendations (70% vs 51%, p < .0001). Lower SES women had higher prepregnancy BMI (25.9kg/m2 vs 23.5, p < .0001), and had greater long-term weight retention 4–10 y postpartum (5.68kg vs. 1.83, p < .0001). In SES stratified adjusted models, there were no differences in associations between breastfeeding with long-term weight retention or BMI. Conclusions Breastfeeding was associated with long term maternal postpartum weight status. Six months of breastfeeding was associated with lower long-term postpartum weight retention and lower BMI at 4–10 years postpartum, and effects did not vary by socioeconomic status. Funding Sources CDPH, UCSF.


2019 ◽  
Vol 37 (01) ◽  
pp. 053-058 ◽  
Author(s):  
Anne M. Siegel ◽  
Ann Tucker ◽  
LaMani D. Adkins ◽  
Courtney Mitchell ◽  
Haywood L. Brown ◽  
...  

Abstract Objective Excessive gestational weight gain (GWG) increases risk of postpartum weight retention in normal and overweight women but little is known about weight retention in morbidly obese women. We evaluated the impact of GWG on postpartum weight retention in women with class-III obesity. Study Design This is a retrospective cohort of pregnancies at a single institution from July 2013 to December 2017 complicated by body mass index (BMI) ≥ 40 at entry to care. Women were classified as GWG within (WITHIN), less than (LESS), or greater than (MORE) Institute of Medicine's (IOM) recommendations. Women were excluded for multiples, late prenatal care, preterm birth, fetal anomalies, intrauterine demise, weight loss, and missing data. Primary outcome was achievement of intake weight at the postpartum visit. Logistic regression was used to adjust for confounding factors. Results Among 338 women, 93 (28%) gained WITHIN, 129 (38%) LESS, and 144 (43%) MORE. Women in the MORE group were less likely to achieve their intake weight at the postpartum visit (adjusted odds ratio [AOR] = 0.09 95% confidence interval [CI]: 0.05–0.17, p < 0.01). Women gaining MORE were the only group who did not lose weight from intake to postpartum (Median weight change [LESS: −14 lbs (IQR: −20 to −7)] vs. [WITHIN: −7 lbs (IQR: −13 to −1)] vs. [MORE: 5 lbs (IQR: 0–15)]; p < 0.01). Conclusion Excessive GWG in women with class-III obesity is associated with postpartum weight retention.


2012 ◽  
Vol 9 (7) ◽  
pp. 1020-1029 ◽  
Author(s):  
Amy E. Montpetit ◽  
Hugues Plourde ◽  
Tamara R. Cohen ◽  
Kristine G. Koski

Background:A “fit pregnancy” requires balancing energy expenditure with energy intake (EI) to achieve appropriate gestational weight gains (GWG), healthy infant birth weights (IBW), and minimal postpartum weight retention (PPWR). Our objective was to develop an integrated conceptual framework to assess the contribution of prepregnancy weight (PP-BMI), EI, and physical activity (PA) as determinants of GWG, IBW, and PPWR.Methods:Pregnant women (n = 59) were recruited from prenatal classes. Energy intake was estimated using 3 24-hr diet recalls and PA using a validated PA questionnaire and a pedometer. Telephone interviews at 6-weeks postpartum assessed self-reported GWG, IBW, and PPWR. Hierarchical multiple regression analyses were used to explore the potential predictors of GWG, IBW, and PPWR.Results:Prepregnancy BMI was associated with GWG, and EI was associated with IBW; each model captured only 6%–18% of the variability. In contrast, PPWR was predicted by PP-BMI, GWG, and EI, which together explained 61% of its variability, whereas GWG alone explained 51% of the variability in PPWR.Conclusions:Modeling the relationship using hierarchical models suggests that PP-BMI, prepartum PA, and EI differentially impact GWG, IBW, and PPWR.


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