The influence of sleep quality on weight retention in the postpartum period

2021 ◽  
Vol 46 (1) ◽  
pp. 77-85
Author(s):  
Brittany A. Matenchuk ◽  
Margie H. Davenport

Poor sleep in the postpartum is often treated as an unavoidable consequence of childbirth. This study aims to compare objective and subjective measures of sleep, explore the relationship between sleep and postpartum weight retention (PPWR), and investigate factors that may contribute to sleep quality in the postpartum period. In this cross-sectional cohort, PPWR, sleep quality (Pittsburgh Sleep Quality Index (PSQI)), and objective sleep and physical activity (accelerometry) were assessed in 109 women 0–52 weeks postpartum. Anthropometric and demographic data were collected. Gestational weight gain (GWG) was classified as inadequate, appropriate, or excessive according to Institute of Medicine guidelines. Average GWG (33.7 lbs) and PPWR (5.39 lbs) were not different between “good” (PSQI < 6) and “bad” (PSQI ≥ 6) sleepers. Following adjustment, mothers with excessive GWG who were “bad” sleepers had 5.26 higher odds of PPWR ≥ 10 lbs compared with all other combinations of GWG and PSQI. PSQI was not correlated with total sleep time (accelerometer-derived). Light activity and moderate-to-vigorous physical activity (MVPA) were associated with reduced odds of being a “bad” sleeper. The influence of GWG on PPWR was modified by postpartum sleep quality. Both light activity and meeting the MVPA guidelines in the postpartum were associated with higher sleep quality. Novelty Subjectively rated poor sleep may represent the number of awakenings and wake after sleep onset in postpartum women. Poor postpartum sleep quality increases excessive postpartum weight retention in women with excessive GWG. Women doing light-to-vigorous physical activity in the postpartum are less likely to experience poor sleep quality.

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Sabrina Faleschini ◽  
Lynne Millar ◽  
Sheryl L. Rifas-Shiman ◽  
Helen Skouteris ◽  
Marie-France Hivert ◽  
...  

Abstract Background Social support may promote healthful behaviors that prevent excess weight at critical periods in women’s life. Our objective was to investigate associations of social support at 6 months postpartum with women’s health behaviors that have previously been shown to predict weight retention at 1 year postpartum. Methods At 6 months postpartum in Project Viva, a pre-birth prospective cohort in Massachusetts, women reported social support using the Turner Support Scale, depressive symptoms using the Edinburgh Postnatal Depression Scale, diet using PrimeScreen, average number of hours walking, light/moderate and vigorous physical activity, television viewing, and sleeping each day. Results Among 1356 women, greater partner support was associated with higher levels of walking (OR 1.36, 95% CI [1.01, 1.82]) and intake of fiber (OR 1.43, 95% CI [1.06, 1.91]) and lower intake of trans-fat (OR 1.49, 95% CI [1.11, 2.01]). Support from family/friends was marginally related to healthful levels of light/moderate physical activity (OR 1.26, 95% CI [0.96, 1.65]) and television viewing (OR 1.29, 95% CI [0.99, 1.69]). Both sources of support were strongly associated with lower odds of incident depression (OR 0.33, 95% CI [0.20, 0.55] and OR 0.49, 95% CI [0.30, 0.79], respectively). We did not find associations with vigorous physical activity or sleep duration. Conclusions Social support is important to the physical and mental health of new mothers and may promote behaviors that limit postpartum weight retention.


2020 ◽  
Vol 105 (4) ◽  
pp. e1601-e1611 ◽  
Author(s):  
Jasper Most ◽  
Abby D Altazan ◽  
Marshall St. Amant ◽  
Robbie A Beyl ◽  
Eric Ravussin ◽  
...  

Abstract Context This study was designed to understand causes and critical periods for postpartum weight retention by characterizing changes in body composition, energy intake, energy expenditure and physical activity in women with obesity during pregnancy and postpartum. Design In this prospective, observational cohort study, body composition (plethysmography), energy expenditure (doubly labeled water, whole-body room calorimetry), physical activity (accelerometry), metabolic biomarkers, and eating behaviors were measured. Energy intake was calculated by the intake-balance method for pregnancy, and for 2 postpartum periods (0 to 6 months and 6 to 12 months). Results During the 18-month observation period, weight loss occurred in 16 (43%) women (mean ± SEM, −4.9 ± 1.6 kg) and weight retention occurred in 21 (57%) women (+8.6 ± 1.4 kg). Comparing women with postpartum weight loss and weight retention, changes in body weight were not different during pregnancy (6.9 ± 1.0 vs 9.5 ± 0.9 kg, P = 0.06). After pregnancy, women with postpartum weight loss lost −3.6 ± 1.8 kg fat mass whereas women with weight retention gained 6.2 ± 1.7 kg fat mass (P &lt; 0.001). Women with postpartum weight loss reduced energy intake during the postpartum period (compared with during pregnancy) by 300 kcal/d (1255 kJ/d), while women with weight retention increased energy intake by 250 kcal/d (1046 kJ/d, P &lt; 0.005). There were no differences in the duration of breastfeeding, eating behavior, or metabolic biomarkers. Conclusions Postpartum weight gain was the result of increased energy intake after pregnancy rather than decreased energy expenditure. Dietary intake recommendations are needed for women with obesity during the postpartum period, and women should be educated on the risk of overeating after pregnancy.


Author(s):  
Tatiana Plekhanova ◽  
Alex V. Rowlands ◽  
Melanie Davies ◽  
Charlotte L. Edwardson ◽  
Andrew Hall ◽  
...  

This study examined the effect of exercise training on sleep duration and quality and bidirectional day-to-day relationships between physical activity (PA) and sleep. Fourteen inactive men with obesity (49.2±7.9 years, BMI 34.9±2.8 kg/m²) completed a baseline visit, eight-week aerobic exercise intervention, and one-month post-intervention follow-up. PA and sleep were assessed continuously throughout the study duration using wrist-worn accelerometry. Generalised estimating equations (GEE) were used to examine associations between PA and sleep. Sleep duration increased from 5.2h at baseline to 6.6h during the intervention period and 6.5h at one-month post-intervention follow-up (p<0.001). Bi-directional associations showed that higher overall activity volume and moderate-to-vigorous physical activity (MVPA) were associated with earlier sleep onset time (p<0.05). Later timing of sleep onset was associated with lower overall volume of activity, most active continuous 30 minutes (M30CONT), and MVPA (p<0.05). Higher overall activity volume, M30CONT, and MVPA predicted more wake after sleep onset (WASO) (p<0.001), whereas greater WASO was associated with higher overall volume of activity, M30CONT, and MVPA (p<0.001). An aerobic exercise intervention increased usual sleep duration. Day-to-day, more PA predicted earlier sleep onset, but worse sleep quality and vice versa. Novelty: • Greater levels of physical activity in the day were associated with an earlier sleep onset time that night, whereas a later timing of sleep onset was associated with lower physical activity the next day in men with obesity • Higher physical activity levels were associated with worse sleep quality, and vice versa


2016 ◽  
Vol 11 (6) ◽  
pp. 501-510
Author(s):  
Rebecca A. Schlaff ◽  
Claudia Holzman ◽  
Kimberly S. Maier ◽  
Karin A. Pfieffer ◽  
James M. Pivarnik

Prospective studies examining postpartum weight retention (PPWR) in relation to the appropriateness of gestational weight gain (GWG) and leisure-time physical activity (LTPA) during pregnancy and postpartum are lacking. While utilizing varying estimates of prepregnancy weight, we sought to prospectively examine associations among the aforementioned variables. Our sample consisted of a subset of women from the Archive for Research on Child Health Study (n = 68). Prepregnancy weight was obtained via questionnaire and birth certificates. GWG (2 estimates) was calculated by subtracting prepregnancy weight estimates from weight at delivery and classified as “excess” or “not excess.” Pregnancy and postpartum LTPA were self-reported and dichotomized at recommended levels. Prepregnancy weight estimates were subtracted from self-reported postpartum weight to calculate 2 estimates of PPWR at 6 months. Linear regression was used to examine relationships among GWG and LTPA, and PPWR. Estimates of excess GWG were associated with increased PPWR (mean difference = 3.3-8.9 kg), even after adjustment for prepregnancy body mass index and breastfeeding. Meeting pregnancy and postpartum LTPA recommendations did not significantly predict PPWR. Our findings highlight the importance of encouraging appropriate GWG and provide insight into the impact varying estimates of prepregnancy weight may have when exploring associations among these variables.


2013 ◽  
Vol 8 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Patricia W. Bauer ◽  
James M. Pivarnik ◽  
Deborah L. Feltz ◽  
Nigel Paneth ◽  
Christopher J. Womack

2021 ◽  
Vol 27 (6) ◽  
pp. 582-587
Author(s):  
Tassia Barcelos Mendes ◽  
Karla Cardoso de Souza ◽  
Carolina Nunes França ◽  
Fabrício Eduardo Rossi ◽  
Rafael Pereira Guimarães Santos ◽  
...  

ABSTRACT Introduction: Decreased physical activity has been associated with poorer mental health and is a cause for concern during the COVID-19 pandemic. Objective: To compare groups of medical students (MS) who practiced different levels of moderate and vigorous physical activity (MVPA) during the COVID-19 pandemic, in relation to symptoms of anxiety and depression (BAI-BDI), sleep quality (PSQI), and physical activity (PA) - light, moderate, vigorous (LPA-MPA and VPA), and sedentary behavior (SB). Methods: This research is a cross-sectional study involving 218 MS. Data on the characteristics of the MS were collected through online forms: PA, SB, BAI, BDI, and PSQI. The Cohen's D (Effect Size - ES) and confidence interval (95% CI), Mann-Whitney test: Lower MVPA (Median=0 minute) and Higher MVPA (Median=390 minutes) were recorded. For the statistical analyses, we used: the Odds ratio (OR) for the presence of symptoms of high levels of anxiety and depression and poor sleep quality in the MS and MVPA. Results: We found a small ES for symptoms of depression (ES 0.26 95% CI 0.00 0.53 p=0.029), and significant differences (p<0.05) for symptoms of anxiety (ES 0.17 95% CI −0.09 0.44 p=0.037). There was also a significant tendency for sedentary behavior on weekdays (ES 0.27 95% CI 0.00 0.53 p = 0.051). The OR for MVPA and the presence of symptoms of high levels of anxiety was 0.407 (95% CI = 0.228 to 0.724). Conclusions: the MS who practiced higher MVPA presented less symptoms of anxiety and depression during the COVID-19 pandemic. Level of evidence III; Case-control study.


Author(s):  
Robert A. Sloan ◽  
Youngdeok Kim ◽  
Susumu S. Sawada ◽  
Akihiro Asakawa ◽  
Steven N. Blair ◽  
...  

Objectives: To examine the independent, joint, and fully combined associations of sedentary behavior (SB), moderate-to-vigorous physical activity (MVPA), and cardiorespiratory fitness (CRF) with the odds of poor sleep quality (SQ). Methods: We performed a secondary data analysis on 757 working adults (male = 345) in Singapore, with an average age of 35.2 years. The Pittsburgh Sleep Quality Index was used to assess SQ. Objectively measured MVPA and SB were each obtained using an accelerometer. A non-exercise prediction equation was used to estimate CRF. Logistic regression models were used to determine associations. Results: In total, 13.2% of the sample (n = 100) was identified as having poor SQ. After adjusting for study covariates, independent analyses revealed a clear inverse association for higher CRF and lower odds of poor SQ (OR = 0.50; 95% CI = 0.28–0.91). SB and MVPA demonstrated no independent associations. Joint associations revealed that odds of having poor SQ for those with low CRF was higher regardless of SB level and was further deteriorated by lower MVPA in the fully combined model. The fully combined model also demonstrated that those with lower SB, higher MVPA, and higher CRF had the lowest odds of having poor SQ (OR = 0.28; 95% CI = 0.10–0.78). Conclusions: Physical activity/exercise training programs that aim to improve CRF may be useful in lowering the odds or poor SQ in working adults.


Author(s):  
Anh Vo Van Ha ◽  
Yun Zhao ◽  
Colin W. Binns ◽  
Ngoc Minh Pham ◽  
Phung Thi Hoang Nguyen ◽  
...  

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.


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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