Next Article in Journal
A Program of Life-Style Modification Improved the Body Weight and Micronutrient Status in Obese Patients after Bariatric Surgery
Next Article in Special Issue
Exploring Health Behaviours, Attitudes and Beliefs of Women and Men during the Preconception and Interconception Periods: A Cross-Sectional Study of Adults on the Island of Ireland
Previous Article in Journal
Exploring the Network between Adipocytokines and Inflammatory Response in SARS-CoV-2 Infection: A Scoping Review
Previous Article in Special Issue
Mental Health during the Interpregnancy Period and the Association with Pre-Pregnancy Body Mass Index and Body Composition: Data from the INTER-ACT Randomized Controlled Trial
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Maternal Obesity and Patterns in Postnatal Diet, Physical Activity and Weight among a Highly Deprived Population in the UK: The GLOWING Pilot Trial

1
Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE2 4AX, UK
2
Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(17), 3805; https://doi.org/10.3390/nu15173805
Submission received: 25 July 2023 / Revised: 24 August 2023 / Accepted: 29 August 2023 / Published: 30 August 2023

Abstract

:
Preconception obesity is associated with adverse pregnancy outcomes and deprivation. The postnatal period provides an opportunity for preconception intervention. There is a lack of published postnatal behaviour and weight data to inform intervention needs. Secondary analysis of the GLOWING study explored postnatal diet, physical activity (PA) and weight among women living with obesity in deprivation. Thirty-nine women completed food frequency and PA questionnaires and provided weight measurement(s) between 3–12 months postnatal. Women’s diet and PA fell short of national guidelines, especially for fruit/vegetables (median 1.6–2.0 portions/day) and oily fish (0–4 g/day). PA was predominantly light intensity. Patterns in weight change across time points indicated postnatal weight loss compared with 1st (median −0.8 to −2.3 kg) and 3rd-trimester weights (−9.0 to −11.6 kg). Weight loss was higher among women without excessive gestational weight gain (GWG) (−2.7 to −9.7 kg) than those with excessive GWG (2.3 to −1.8 kg), resulting in postnatal weight measurements lower than their 1st trimester. These pilot data suggest preconception interventions should commence in pregnancy with a focus on GWG, and postnatal women need early support to achieve guideline-recommendations for diet and PA. Further research in a larger population could inform preconception intervention strategies to tackle inequalities in maternal obesity and subsequent pregnancy outcomes.

1. Introduction

The association between pre-pregnancy obesity and adverse maternal and infant health outcomes in pregnancy and throughout the life course is well-established, highlighting the need for preconception weight management support. Complications include hypertensive disorders (e.g., preeclampsia), gestational diabetes, caesarean deliveries, stillbirth, maternal mortality, congenital anomalies, and macrosomia [1,2,3]. Maternal obesity is also a leading risk factor for the development of child obesity [4]. One in five women in the United Kingdom (UK) enter pregnancy with a body mass index (BMI) in the obese range (BMI ≥ 30 kg/m2) [5], and deprivation is a key driver of inequalities in prevalence [6]. During pregnancy, gestational weight gain (GWG) is a natural response, accommodating the growing fetus [7]. However, over half of women exceed GWG recommendations, with the highest prevalence amongst women with an overweight and/or obese BMI before pregnancy [8]. Often, GWG is not lost following pregnancy, and some women continue to gain further weight during the postnatal period, increasing the risk of overweight and obesity in subsequent pregnancies [9,10,11].
Supporting women with weight management in the postnatal period is an opportunity for preconception intervention for subsequent pregnancies—the inter-pregnancy period. A recent systematic review showed that, for women with overweight or obesity, interpregnancy weight loss decreased the risk of caesarean delivery, gestational diabetes and hypertensive disorders in subsequent pregnancies [12]. Current recommendations advise that women living with overweight or obesity safely lose weight during the postnatal period and before subsequent pregnancies [13,14,15]. In the UK, postnatal women, up to 12 months postpartum, are recommended to achieve 150 min of moderate intensity physical activity (PA) each week and twice weekly strengthening activities [16], with a focus on listening to their body, taking a gradual approach to increase activity, and incorporating pelvic floor exercises. Dietary recommendations [17] advise the consumption of a varied and healthy diet, as outlined in the Eatwell Guide [18], including five portions of fruits and vegetables daily, fibre-rich foods, low-fat alternatives, basing meals on starchy/wholegrain foods, two portions of fish weekly (one oily), substitution of red/processed meat for pulses, beans and lentils, and avoidance of foods high in fat, salt and sugar. For women exclusively breastfeeding, the National Institute for Health and Care Excellence (NICE) guidelines recommend an additional 330 kcal/day for the first 6-months and 400 kcal/day for the second 6-months [15].
Despite the existence of guidelines, there are no published data reporting patterns of postnatal PA, diet, and weight change in women with obesity in the UK or globally. A 2015 systematic review, not restricted to women with obesity [19], found that PA levels decreased over the course of pregnancy and did not typically return to pre-pregnancy levels in the first year postnatal. An Australian study [20] among women with overweight or obesity also reported PA levels to decline over the course of pregnancy, with an increase during the postnatal period; however, by four months postnatal, PA levels had not reached the levels reported in early pregnancy [21]. There is a lack of systematic reviews reporting postnatal diet patterns. Studies from the USA [22,23] and Australia [20] report low-quality postnatal diets among women with overweight or obesity, with low consumption of fruit, vegetables, wholegrains and milk, and diets high in sodium, saturated fats and calories. There is a lack of published data on postnatal dietary patterns among women in the UK. Similarly, there is a lack of data published in the UK relating to postnatal patterns in weight change. One study published in 2000 [24] explored patterns in weight change from 13 weeks’ gestation to 6-months postnatal in 17 women with obesity. They reported a mean change of 0.6 kg (SD 6.4), with most women “considerably heavier” at 6-months postnatal than 13-weeks’ gestation.
Gaining a better understanding of women’s dietary and PA behaviours’ and weight change during the postnatal period would highlight areas where women might benefit from additional intervention and support to improve their overall health and contribute to healthy weight management. This study aimed to explore the patterns of diet PA behaviours, and weight change among postnatal women living with obesity in a highly deprived region of the UK.

2. Materials and Methods

A secondary analysis of data collected as part of the GLOWING pilot trial was undertaken. GLOWING was developed to support midwives’ implementation of UK guidelines for weight management during pregnancy; full details of the intervention are published elsewhere [25]. This cluster randomised controlled trial involved four NHS trusts (i.e., clusters) in northeast England. The intervention and control arms each had two large and one small clusters, based on annual birth rates for each NHS Trust. The intervention content and delivery methods were designed using social cognitive theory. In the intervention arm, small groups of midwives received an intensive full-day face-to-face training session and provided information resources to share with women in their routine practice. The control arm received no intervention.
The northeast of England has a high prevalence of both deprivation and maternal obesity [26,27]. In 2018/2019, 27.4% of pregnant women in the northeast had obesity compared with the England average of 22.1% [28]. Whilst the primary outcome of GLOWING was midwives’ behaviour, secondary outcomes aimed to explore patterns of diet and PA behaviours, and weight changes among pregnant women living with obesity. Pregnant women recruited to GLOWING did not directly receive any intervention. Women were eligible if they had a 1st trimester BMI ≥ 30.0 kg/m², were over 18 years of age and could speak and read English. Following the intervention delivery, 104 women were recruited at 12-week’s gestation to provide socio-demographic data and data regarding discussions they had with their midwives at their first antenatal contact. This sample size was determined using recommendations for pilot trials [25]. Women received a £10 gift voucher for each questionnaire returned. The women were requested to complete a questionnaire reporting their diet, PA, and weight at 36-weeks’ gestation and 3-, 6-, 9- and 12-months postnatal. The pregnancy dietary, PA and weight data have been published [29]. This paper reports the postnatal data. The pilot trial was not powered to detect differences between intervention and control groups [25], and analysis confirmed no differences in postnatal outcomes between intervention arms (Tables S1–S3). Therefore, the remaining analyses pooled intervention and control data together. The STROBE guidelines for reporting observational studies have been used (Table S4). The pilot study received ethical approval on 16 December 2015 [25].

2.1. Socio-Demographic Data Collection

The socio-demographic questions include both quantitative and free-text items relating to the women’s 1st trimester BMI, ethnic group, employment, marital, smoking, and breastfeeding status, alcohol intake, and dietary preference. Women’s 1st trimester BMI were collected from electronic health records and used to categorise their obesity class using the WHO criteria: class 1 BMI 30.0–34.9 kg/m2, class 2 BMI 35.0–39.9 kg/m2, and class 3 BMI ≥ 40 kg/m2 [30]. A woman’s postcode of residence was linked to the Index of Multiple Deprivation (IMD) quintiles and ranked, with quintile 1 being the most deprived and quintile 5 the least deprived [31].

2.2. Diet, Physical Activity and Weight Data Collection

Both the postnatal diet and PA data collection and coding replicated the methods used during the pregnancy phase of the study, which have been published [29]. In brief, for diet, a 50-item semi-quantitative food frequency questionnaire (FFQ) [32,33] was used, including free-text responses (brand and monthly consumption of bread, cereal, butter/spread and cheese) and a multiple-response grid to report the intake of various food items over the month. Dietary data were coded to estimate portion sizes and amounts of food items consumed each day.
PA data were collected using the 32-item validated Pregnancy PA Questionnaire (PPAQ), including questions about the type and duration of activity in the previous week [34]. These were grouped into PA domains (Household/Caregiving, Inactivity; Occupational, Sports/Exercise, and Transportation) and metabolic equivalents (MET) values were estimated to classify activities into different intensities: Sedentary (<1.5 METs); Light (1.5–3.0 METs); Moderate (3.0–6.0 METs); and Vigorous (>6.0 METs) [35].
Women were asked to have their weight measured by a health professional at each postnatal questionnaire time point (3-, 6-, 9- and 12-months) to be provided to the research team or to provide a printed copy of their weight measurement from scales in health centres or pharmacies at each time point. We could not access postnatal weight measurements from medical records as these are not routinely collected. We used pregnancy weight measurements to estimate weight change at each postnatal time point from the 1st-trimester booking appointment (mean gestational age 11.2 weeks, SD 4.1) and the 3rd trimester (36 weeks’ gestation). Pregnancy weight data collection methods have been published [29] and included a combination of weights measured for the research and from routine medical records. GWG was defined as adequate (i.e., within guideline recommendations [7]), inadequate (i.e., below guideline recommendations), or excessive (i.e., above guideline recommendations). Due to the limited number of women whose GWG was defined as adequate, the inadequate and adequate categories were merged to create a non-excessive GWG category [29].

2.3. Data Analysis

Not all participants completed each follow-up questionnaire. Therefore, cross-sectional analysis was undertaken at each postnatal time point. As these are pilot data, descriptive analysis was carried out on women’s diet, PA, and weight change data at 3-, 6-, 9- and 12-months postnatal to explore patterns. Comparison of behaviours between categories of obesity class, breastfeeding status, deprivation status, ethnicity, and dietary preference (i.e., vegetarians vs. non-vegetarians) was planned to be undertaken, but due to the small sample size and limited numbers within some sub-categories, this was not possible. The outcome data were tested for normality using the Shapiro-Wilkes test; data that were normally distributed are presented as means and standard deviations (SD), and data that are non-normally distributed as median and interquartile ranges (IQR). Diet data reported are for food types, with average daily consumption (e.g., mL/day milk consumed) and number and percent consuming the food item type (e.g., reduced fat, full fat). PA outcomes are average total energy expenditure (EE) per week and EE in each intensity category and from each PA domain. Weight change data reported are for average change at each postnatal time point from both 1st and 3rd trimesters of pregnancy, as well as a comparison for average weight change among women with excessive or non-excessive GWG.

3. Results

3.1. Participants Characteristics

In total, 39 women who returned pregnancy questionnaires also returned postnatal questionnaires at one or more time points (38%) between March 2018 and June 2019. At 3-, 6-, 9- and 12-months postnatal, the socio-demographic, diet and PA data were available for 24 (23.1%), 22 (21.2%), 12 (11.5%) and 20 (19.2%) women, respectively. Weight data were available for 20 (19.2%), 22 (21.2%), 11 (10.6%) and 20 (19.2%) women respectively. At nine months postnatal, one NHS trust did not send out any questionnaires, which explains the relatively low response at this postnatal time point compared with others. There were no significant differences in the socio-demographic characteristics of the women who returned the questionnaire compared to those who did not (Table S5).
Across the four postnatal time points, there was minimal difference in the median BMI, ranging from 35.0 to 36.6 kg/m2 and most women had class 1 or 2 obesity (Table S6). The mean age was similar across all time points, ranging from 29.0 to 31.2 years (reflective of the national average) [36]. Participants had a median of two pregnancies in total, and lasting >24 weeks, at all-time points. Most women resided in the most deprived quintiles, with 45.8–65.0% in Quintile 1 and 15.0-25.0% in Quintile 2, higher than the national average (23.2% and 22.5% respectively) [36]. Most women were white (83.3–95.0%, higher than the national average of 81.6% [36]) and were in some form of paid employment (60.0–81.8%, reflective of the national average [37]). Education varied across the time points; however, most women attained at least GCSEs or equivalent (i.e., high school level, 79.5–100.0%). There were 50.0–63.6% of women married and 31.8–45.8% single (lower than the national average of 57% single [38]). Smoking status was similar across all time points, with 75.0–86.3% of women reporting not smoking. This demonstrates a higher proportion of smokers in the GLOWING study than the UK adult female population (rate of 11.5% [39]). At 3-, 6-, 9- and 12 months postnatal, 20.8%, 27.3%, 8.3% and 0% of women were exclusively breastfeeding or breastfeeding with formula feeding. Regarding dietary preferences, most women consumed meat and fish, ranging from 70.8–85.0%, and no women followed a vegetarian diet. The number of women consuming alcohol varied across time points (35.0–75.0%), with a median intake of 2–3 units/week.

3.2. Dietary Behaviours

Across the postnatal time points, the median milk intake was 142 mL/day, spread ranged from 5–10 g/day, and cheese 4–12 g/day (Table 1). There was a pattern towards the GLOWING participants consuming reduced fat options for milk and spread but not for cheese. The median intake of sugary drinks was highest at 3-months postnatal (158 mL/day) compared to the other time points, particularly for the intake of sugar-sweetened beverages. The median intake of starchy carbohydrates was low, ranging from 85–109 g/day. Most women consumed 1–2 slices of bread daily, with approximately even distribution between wholemeal and white varieties. Around half (41.7–65.0%) of women did not consume breakfast cereals, but those who did were more likely to consume non-refined types. The median intake of snacks was similar across the time points, ranging from 31–61 g/day, with the median intake of sweet snacks being the highest. Compared to national recommendations, women’s intake of fruit and vegetables was low; daily intake ranged from 1.6–2.0 portions/day. Women’s consumption of meat and fish tended to be primarily from red meat and processed meat and fish sources, and intake of unprocessed fish was low (16–37 g/day), specifically oily fish, with median intakes ranging from 0–4 g/day.

3.3. Physical Activity Behaviours

Reported levels of PA showed a pattern towards higher median EE with each postnatal time point, from 213.4 MET-hr/week at 3-months postnatal to 300.7 MET-h/week at 12-months (Table 2). In relation to PA intensity, most EE was from light-intensity PA across all time points, followed by moderate intensity, with very few MET-hours/week from vigorous PA. EE from sedentary PA remained similar at 17.9 MET-h/week across all time points. In relation to PA domains, the majority of EE was from participating in household/care activities across all time points (131.9–180.1 MET-h/week), with lowest EE from the occupation (0 MET-hr/week) and sport (0.5–5.3 MET-h/week) domains.

3.4. Postnatal Weight Change

All women in this study had their weight recorded at their booking appointment, and at least one postnatal weight was available for 35 women. The last recorded postnatal weight for 21 women (60%) was lower than their booking weight. When looking at weight change, the median values across all time points showed weight loss compared to both booking (−0.8 to −2.3 kg) and 3rd-trimester weight (−9.0 to −11.6 kg), although the IQRs showed that some women gained weight (Table 3). Median weight was lowest at 3-months postnatal (95.1 kg), gradually increasing across each postnatal period to the highest median postnatal weight at 12-months (98.0 kg, Figure 1). When comparing postnatal weight change between women whose GWG was excessive or not excessive, median weight change (loss) from booking was greater across all time points for those without excessive GWG (−2.7 to −9.7 kg) than those with excessive GWG (2.3 to −1.8 kg) (Table 3). When comparing weight change from 3rd trimester, median weight loss at each time point is similar between those with excessive GWG (−9.0 to −11.9kg) and not excessive GWG (−6.1 to −11.5 kg). These data suggest that having a GWG that is not excessive may support women with obesity in achieving a greater postnatal weight loss that results in lower weight than their booked weight.

4. Discussion

This secondary analysis has provided novel data on postnatal diet, PA, and weight change among a highly deprived population of women living with obesity in the UK. This population had a suboptimal dietary intake, particularly regarding fruit and vegetables, unrefined breakfast cereals, fish, and oily fish, which did not meet national recommendations. Additionally, guideline recommendations are to limit the consumption of red meat and processed meat and fish, with no more than 70 g/day, whereas the median intake in this population was higher than these recommendations at most postnatal time points. Light-intensity PA contributed most to overall EE across all time points, whereas guideline recommendations are for at least 150 min/week of moderate-intensity PA. Overall, most EE was from the household/care PA domain, suggesting this might be an area for interventions to focus on, for example, supporting women to increase the intensity of activity in domains they are already participating in. There was a pattern towards weight loss across all postnatal time points when compared with 1st- and 3rd-trimester weights, with the greatest weight loss observed at 3-months postnatal and among women whose GWG was not excessive. Interventions could focus on limiting GWG as part of a preconception strategy for subsequent pregnancies and supporting women to maintain early postnatal weight loss from three months and throughout the 12-months.
There is little existing evidence exploring postnatal diets of women in the UK. However, the findings in this study are similar to international studies in both the USA [22,23] and Australia [20]. These studies also found suboptimal postnatal diets in women with obesity, with low intakes of fruit and vegetables [20,22,23], and diets low in wholegrains [20,22]. High intakes of red meat and processed meat and fish, along with food generally high in saturated fats and salt, were also reported [22]. However, this population’s reported low intake of fish and oily fish was not reflected in other studies but may reflect the low intake of oily fish reported in the general UK population in the UK National Diet and Nutrition Survey [40]. The dietary findings in this study are similar to those found in the published study exploring pregnancy behaviours [29]. Although longitudinal analysis was not undertaken, the findings may be suggestive that women’s diet behaviours do not substantially change when transitioning between pregnancy and postnatal periods. This is supported by an Australian study [20], which reports that the low diet quality of women with obesity during pregnancy is sustained throughout the postnatal period.
Furthermore, Stephenson et al. [41] summarised intervention evidence showing that positive dietary changes in pregnancy may result in sustained positive dietary behaviours throughout the postnatal period. This further highlights the opportunities for preconception interventions to commence in pregnancy and be continued in the postnatal period to benefit subsequent pregnancies. Diet patterns during the postnatal period are also associated with future eating behaviours of children [42]; therefore, interventions to optimise postnatal diet may have life course benefits for both women and their children, as well as for subsequent pregnancies.
There is a lack of research in the UK focusing on women living with obesity in the postnatal period to compare our findings with. However, our findings are similar to those reported in the general postnatal populations. Our study showed increasing median EE over the postnatal period, and an Australian cross-sectional study also showed that sitting time was highest and PA levels lowest in the first six months postnatal, increasing significantly between 6–12 months [43]. In our study, the overall EE reported at each time point in the postnatal period was higher than that reported in the GLOWING cohort in pregnancy (166 MET-h/week, IQR 128.1, 249.2) [29], suggesting an increase in PA following pregnancy. Postnatal PA intensity and domains followed a similar pattern to pregnancy, suggesting that while overall EE might be lower in pregnancy than postnatal, the proportional intensities and types of activities are similar. Occupational activity was the exception, explained by some women in the GLOWING population working during pregnancy and being on maternity leave postnatally.
In our study, there was an overall pattern for weight loss in the postnatal period compared with booking or 3rd-trimester weights, and 60% of women had postnatal weights lower than their booking weight. These patterns are similar to a secondary analysis of the UK UPBEAT trial in women with obesity, which showed 52% had a lower weight at 6-months postnatal than in their 1st-trimester [44]. However, these results differ from an observational study in the UK among women with obesity, which showed a mean weight gain at 6-months postnatal and most women with higher postnatal weight than booking weight [24]. Our study and the UPBEAT trial were conducted around 20 years after this previously published study, and there has been the publication of maternal obesity and weight management guidelines in this time period [15], making addressing maternal obesity and weight management more prominent in routine maternity care. This may have contributed to greater awareness of weight management among health professionals and women and resulted in patterns towards increased postnatal weight loss in the UK. Additionally, the small sample sizes for postnatal weight measurements in our study and the previously published observational study (n = 17) may have contributed to the differences observed, and larger longitudinal observational studies are needed to explore patterns in postnatal weight over time. However, it is important to note that we did observe a clear difference in the amount of weight loss when comparing GWG groups. These findings reflect other studies showing that excessive GWG is associated with weight retention in the postpartum period [44,45]. The UPBEAT trial included pregnant women living with obesity and found that GWG < 9 kg, higher levels of PA and exclusive breastfeeding for more than four months were associated with negative postpartum weight retention [44].
In our study, we could not explore postnatal behaviour and weight change patterns according to breastfeeding status as planned due to too few women breastfeeding. At 3-months postnatal, only 20% were breastfeeding, and 27% at 6-months, lower than the population average outlined in the latest UK-wide infant feeding survey (34% at 6-months) [46]. Generally, women with obesity are less likely to breastfeed, and those who do are at an increased risk of early breastfeeding cessation [2,47]. In addition to obesity, there are numerous socio-demographic barriers to breastfeeding that may be present in this population. The northeast of England has very high levels of deprivation and consistently lower rates of breastfeeding compared to the national average, with the most recent data showing prevalence at 6–8 weeks of 35.7% (95% CI 35.2–36.4) compared to 49.5% (95% CI 49.1–49.3) nationally. Women are more likely to breastfeed from areas of low deprivation, older and from minority ethnic groups [48], whereas the GLOWING population were highly deprived and predominantly white, living in a region with low levels of breastfeeding, which may impact social and cultural norms. It is well-established that breastfeeding has a plethora of benefits. Breastfeeding is recommended as part of postnatal weight management strategies (along with diet and PA behaviours) and is associated with reduced prevalence of childhood obesity [15,49]. This population of women would highly benefit from breastfeeding support for their health, as well as the health of their infant. However, this requires further investigation to understand and overcome any barriers to breastfeeding that may be present in this population of women.

Strengths and Limitations

This is one of the first studies to explore the postnatal dietary and PA behaviours of women living with obesity in an area of high deprivation in the UK. Extensive data were collected as part of the GLOWING pilot trial, providing a rich dataset for analysis. However, this study was a secondary data analysis with a small sample size. Therefore, it was not designed to be an observational study or powered to detect statistical differences or make inferences at the population level. Loss to follow-up was high, and longitudinal analysis was not possible. However, there were limited statistically or clinically significant differences in the socio-demographics of women who returned questionnaires compared with those lost to follow-up. The sample sizes limited the ability to explore diet and PA behaviours or weight change between population subgroups, including by ethnic group, obesity category, or deprivation. Within the study population, women were predominantly white, employed, and could speak English, which may not reflect other UK regions.
Data collection using FFQs and PPAQ has benefits in relation to low-resource options to reach many participants. However, both are subjective, relying on memory, literacy and numeracy skills and are subject to recall bias [50], and some self-reported diet values appear to be lower than expected. Consequently, these surveys may not provide the most accurate representation of individual diet or PA behaviours. Other data collection options (e.g., food diaries or activity monitors such as accelerometers) are alternative options for these measurements. However, this pilot study’s choice of data collection methods needed to consider participant burden and the feasibility of data collection tools in a larger definitive trial. As the wider pilot study data collection included extensive questionnaires, the robustly validated FFQ [44] and PPAQ [34] were considered the most appropriate methods to be embedded within trial procedures and to limit participant burden. The potential under-reporting in this study also reflects under-reporting in other studies, with the highest prevalence of under-reporting among women with pre-pregnancy overweight and obesity [51,52].
This study identified many areas for future research, along with reflections from the research team on resolving some of the issues relating to loss to follow-up. Pregnancy and the postnatal periods are times of transition, including moving home due to a growing family. We lost some participants to follow up due to this (e.g., questionnaires were returned with “no longer at this address” written on them), and some women whom we had alternative contact details (e.g., those consenting to be interviewed as well as completing questionnaires provided email addresses or phone numbers) reported that they had moved and had not received the questionnaire. In the questionnaires, women were asked to state if they preferred paper or online versions, and paper was the main preference. However, this method does not have the flexibility that electronic follow-up would have, as email addresses are less likely to change.
Additionally, posting questionnaires for follow-up was led by busy research midwife teams within the NHS Trusts, including one Trust that did not send out any questionnaires during the 9-month follow-up period. In future studies, keeping consent for contact details with university research teams for follow-up may be beneficial. Reducing loss-to-follow-up would allow a longitudinal study to be undertaken, offering important insights that could inform the development of personalised preconception interventions.

5. Conclusions

The postnatal period is important for the mother’s long-term health, as well as preconception health for those who have subsequent pregnancies. This descriptive study suggests that, among a highly deprived population of women living with obesity in the UK, postnatal diet and PA behaviours are inadequate and do not meet guideline recommendations. However, while there is variation at the individual level, the patterns in postnatal weight loss are promising, and suggest that strategies to limit excessive GWG and to support early postnatal weight loss may be beneficial for women to achieve postnatal weights lower than their 1st-trimester weight; therefore, having an impact on subsequent pregnancies. These data support the need to focus on the postnatal period as a preconception period. However, early provision of preconception support should also be extended to pregnancy with a more joined-up approach between pregnancy and postnatal stages. Further longitudinal research is required to explore these findings in a larger population of deprived women living with obesity to better understand postnatal behaviours and weight patterns and to inform the development of interventions to tackle inequalities in maternal obesity and subsequent pregnancy outcomes.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu15173805/s1, Table S1: Comparison of dietary patterns between intervention and control groups at 3-, 6-, 9- and 12-months postnatal; Table S2: Comparison of physical activity behaviours between intervention and control groups at 3-, 6-, 9- and 12-months postnatal; Table S3: Comparison of weight change between intervention and control groups at 3-, 6-, 9- and 12-months postnatal; Table S4: STROBE reporting guidelines checklist; Table S5: Socio-demographic characteristics of women at 36-weeks’ gestation and 3-, 6-, 9- and 12-months postnatal compared to women at 12-weeks’ gestation; Table S6: Participant socio-demographic characteristics at 3-, 6-, 9 -and 12-months postnatal.

Author Contributions

Conceptualization, N.H., E.M., J.R., F.F.S. and C.M.; methodology, N.H., E.M., J.R., A.C.F., L.S., C.B., E.C. and F.F.S.; validation, N.H., E.C., L.S., C.B. and C.M.; formal analysis, N.H., E.C., C.M., C.B., L.S. and A.C.F.; investigation, N.H. and C.M.; data curation, N.H., C.M., E.M., J.R. and F.F.S.; writing—original draft preparation, N.H., E.C., C.B., L.S., C.M. and A.C.F.; writing—review and editing, all authors; supervision, N.H.; project administration, E.C.; funding acquisition, N.H., E.M., J.R. and F.F.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a National Institute for Health Research (NIHR) Postdoctoral Research Fellowship (Heslehurst, PDF-2011-04-034). This paper presents independent research funded by the National Institute for Health Research. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. The funding body had no role in the design of this study and the collection, analysis, and interpretation of data, in writing the manuscript, or in the decision to submit the report for publication.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Proportionate Review Sub-committee of the Yorkshire and The Humber—South Yorkshire Research Ethics Committee (ref: 15/YH/0565, 16 December 2015).

Informed Consent Statement

Informed written consent was obtained from all participants involved in this study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ethical approval restrictions, and any further data sharing will be subject to necessary approvals.

Acknowledgments

We would like to thank Anita Tibbs, Phoebe Orango and Zoe Bell for contributing towards duplicate data entry and validation and the research midwife teams at the participating NHS Trusts for facilitating the questionnaire distribution to pregnant women and providing the data required from routine medical records, Judith Ormonde, Gayle Gills, Helen Howlett, Christine Moller-Christensen, and Caitlin Barry.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the study’s design, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Catalano, P.M.; Shankar, K. Obesity and pregnancy: Mechanisms of short term and long term adverse consequences for mother and child. Br. Med. J. 2017, 356, j1. [Google Scholar] [CrossRef]
  2. Marchi, J.; Berg, M.; Dencker, A.; Olander, E.K.; Begley, C. Risks associated with obesity in pregnancy, for the mother and baby: A systematic review of reviews. Obes. Rev. 2015, 16, 621–638. [Google Scholar] [CrossRef]
  3. Poston, L.; Caleyachetty, R.; Cnattingius, S.; Corvalán, C.; Uauy, R.; Herring, S.; Gillman, M.W. Preconceptional and maternal obesity: Epidemiology and health consequences. Lancet Diabetes Endocrinol. 2016, 4, 1025–1036. [Google Scholar] [CrossRef]
  4. Heslehurst, N.; Vieira, R.; Akhter, Z.; Bailey, H.; Slack, E.; Ngongalah, L.; Pemu, A.; Rankin, J. The association between maternal body mass index and child obesity: A systematic review and meta-analysis. PLoS Med. 2019, 16, e1002817. [Google Scholar] [CrossRef]
  5. Relph, S.; NMPA Project Team. NHS Maternity Care for Women with a Body Mass Index of 30 kg/m2 or Above: Births between 1 April 2015 and 31 March 2017 in England, Wales and Scotland; RCOG: London, UK, 2021. [Google Scholar]
  6. Nguyen, G.; Boath, A.; Heslehurst, N. Addressing inequalities and improving maternal and infant outcomes: The potential power of nutritional interventions across the reproductive cycle. Proc. Nutr. Soc. 2023, 1–12. [Google Scholar] [CrossRef]
  7. Institute for Medicine and National Research Council. Weight Gain during Pregnancy: Examining the Guidelines; The National Academy Press: Washington, DC, USA, 2009.
  8. Kominiarek, M.A.; Peaceman, A.M. Gestational weight gain. Am. J. Obstet. Gynecol. 2017, 217, 642–651. [Google Scholar] [CrossRef]
  9. Davis, E.M.; Zyzanski, S.J.; Olson, C.M.; Stange, K.C.; Horwitz, R.I. Racial, ethnic, and socioeconomic differences in the incidence of obesity related to childbirth. Am. J. Public Health 2009, 99, 294–299. [Google Scholar] [CrossRef]
  10. Nurul-Farehah, S.; Rohana, A.J. Maternal obesity and its determinants: A neglected issue? Malays. Fam. Physician 2020, 15, 34–42. [Google Scholar]
  11. Endres, L.K.; Straub, H.; McKinney, C.; Plunkett, B.; Minkovitz, C.S.; Schetter, C.D.; Ramey, S.; Wang, C.; Hobel, C.; Raju, T.; et al. Postpartum weight retention risk factors and relationship to obesity at 1 year. Obs. Gynecol 2015, 125, 144–152. [Google Scholar] [CrossRef]
  12. Nagpal, T.S.; Souza, S.C.S.; Moffat, M.; Hayes, L.; Nuyts, T.; Liu, R.H.; Bogaerts, A.; Dervis, S.; Piccinini-Vallis, H.; Adamo, K.B.; et al. Does prepregnancy weight change have an effect on subsequent pregnancy health outcomes? A systematic review and meta-analysis. Obes. Rev. 2022, 23, e13324. [Google Scholar] [CrossRef]
  13. American College of Obstetricians and Gynecologists. ACOG Committee Opinion number 315: Obesity in Pregnancy. Obstet. Gynecol. 2005, 106, 671–675. [Google Scholar] [CrossRef]
  14. Hanson, M.A.; Bardsley, A.; De-Redil, L.M.; Moore, S.E.; Oken, E.; Poston, L.; Ma, R.C.; McAuliffe, F.M.; Maleta, K.; Purandare, C.N.; et al. The International Federation of Gynecology and Obstetrcs (FIGO) recommendations on adolescent, preconception and maternal nutrition: “think nutrition first”. Int. J. Gynecol. Obstet. 2015, 131, S213–S253. [Google Scholar] [CrossRef]
  15. National Institute for Health and Care Excellence. Weight Management before, during and after Pregnancy. Available online: https://www.nice.org.uk/guidance/ph27/resources/weight-management-before-during-and-after-pregnancy-pdf-1996242046405 (accessed on 10 November 2021).
  16. UK Chief Medical Officers. Physical Activity Guidelines. 2019. Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/832868/uk-chief-medical-officers-physical-activity-guidelines.pdf. (accessed on 17 February 2022).
  17. National Health Service (NHS) England. The Eatwell Guide: Eat Well. Available online: https://www.nhs.uk/live-well/eat-well/the-eatwell-guide/ (accessed on 21 February 2022).
  18. Public Health England (PHE). The Eatwell Guide; Public Health England (PHE): London, UK, 2016.
  19. Abbasi, M.; van den Akker, O. A systematic review of changes in women’s physical activity before and during pregnancy and the postnatal period. J. Reprod. Infant Psychol. 2015, 33, 325–358. [Google Scholar] [CrossRef]
  20. Moran, L.J.; Sui, Z.; Cramp, C.S.; Dodd, J.M. A decrease in diet quality occurs during pregnancy in overweight and obese women which is maintained post-partum. Int. J. Obes. 2013, 37, 704–711. [Google Scholar] [CrossRef] [PubMed]
  21. Sui, Z.; Moran, L.J.; Dodd, J.M. Physical activity levels during pregnancy and gestational weight gain among women who are overweight or obese. Health Promot. J. Aust. 2013, 24, 206–213. [Google Scholar] [CrossRef] [PubMed]
  22. Shah, B.S.; Freeland-Graves, J.H.; Cahill, J.M.; Lu, H.; Graves, G.R. Diet quality as measured by the healthy eating index and the association with lipid profile in low-income women in early postpartum. J. Am. Diet. Assoc. 2010, 110, 274–279. [Google Scholar] [CrossRef]
  23. Wiltheiss, G.A.; Lovelady, C.A.; West, D.G.; Brouwer, R.J.; Krause, K.M.; Østbye, T. Diet quality and weight change among overweight and obese postpartum women enrolled in a behavioral intervention program. J. Acad. Nutr. Diet. 2013, 113, 54–62. [Google Scholar] [CrossRef]
  24. Soltani, H.; Fraser, R.B. A longitudinal study of maternal anthropometric changes in normal weight, overweight and obese women during pregnancy and postpartum. Br. J. Nutr. 2000, 84, 95–101. [Google Scholar] [CrossRef]
  25. Heslehurst, N.; Rankin, J.; McParlin, C.; Sniehotta, F.F.; Howel, D.; Rice, S.; McColl, E. GestationaL Obesity Weight management: Implementation of National Guidelines (GLOWING): A pilot cluster randomised controlled trial of a guideline implementation intervention for the management of maternal obesity by midwives. Pilot Feasibility Stud. 2018, 4, 47. [Google Scholar] [CrossRef]
  26. Heslehurst, N.; Rankin, J.; Wilkinson, J.R.; Summerbell, C.D. A nationally representative study of maternal obesity in England, UK: Trends in incidence and demographic inequalities in 619 323 births, 1989–2007. Int. J. Obes. 2010, 34, 420–428. [Google Scholar] [CrossRef]
  27. Bradshaw, J. Child Poverty in the North East Region; Child Poverty Action Group: London, UK, 2020. [Google Scholar]
  28. Public Health England. Public Health Profiles: Overweight in North East England. Available online: https://fingertips.phe.org.uk/search/overweight (accessed on 9 December 2021).
  29. Heslehurst, N.; Flynn, A.C.; Ngongalah, L.; McParlin, C.; Dalrymple, K.V.; Best, K.E.; Rankin, J.; McColl, E. Diet, Physical Activity and Gestational Weight Gain Patterns among Pregnant Women Living with Obesity in the North East of England: The GLOWING Pilot Trial. Nutrients 2021, 13, 1981. [Google Scholar] [CrossRef]
  30. World Health Organization. WHO Consultation on Obesity (1999: Geneva, Switzerland). Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation. 2000. Available online: https://apps.who.int/iris/handle/10665/42330 (accessed on 17 February 2022).
  31. Ministry of Housing, C.L.G. English Indices of Deprivation 2019: Postcode Lookup. Available online: https://imd-by-postcode.opendatacommunities.org/imd/2019 (accessed on 18 January 2022).
  32. Flynn, A.C.; Seed, P.T.; Patel, N.; Barr, S.; Bell, R.; Briley, A.L.; Godfrey, K.M.; Nelson, S.M.; Oteng-Ntim, E.; Robinson, S.M. Dietary patterns in obese pregnant women; influence of a behavioral intervention of diet and physical activity in the UPBEAT randomized controlled trial. Int. J. Behav. Nutr. Phys. Act. 2016, 13, 1–12. [Google Scholar] [CrossRef]
  33. Bingham, S.A.; Welch, A.A.; McTaggart, A.; Mulligan, A.A.; Runswick, S.A.; Luben, R.; Oakes, S.; Khaw, K.T.; Wareham, N.; Day, N.E. Nutritional methods in the European prospective investigation of cancer in Norfolk. Public Health Nutr. 2001, 4, 847–858. [Google Scholar] [CrossRef]
  34. Chasan-Taber, L.; Schmidt, M.D.; Roberts, D.E.; Hosmer, D.; Markenson, G.; Freedson, P.S. Development and Validation of a Pregnancy Physical Activity Questionnaire. Med. Sci. Sports Exerc. 2004, 3, 1750–1760. [Google Scholar] [CrossRef]
  35. Roberts, D.E.; Fragala, M.S.; Pober, D.; Chasan-Taber, L.; Freedson, P.S. Energy Cost of Physical Activities During Pregnancy. Med. Sci. Sports Exerc. 2002, 34. [Google Scholar] [CrossRef]
  36. NMPA Project Team. National Maternity and Perinatal Audit: Clinical Report 2021. Based on Births in NHS Maternity Services in England, Scotland and Wales between 1 April 2017 and 31 March 2018; RCOG: London, UK, 2021. [Google Scholar]
  37. Office for National Statistics (ONS). Female Employment Rate (Aged 6 to 64, Seasonally Adjusted). Available online: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/timeseries/lf25/lms (accessed on 17 February 2022).
  38. Office for National Statistics (ONS). Conceptions in England and Wales: 2014. Available online: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/conceptionandfertilityrates/bulletins/conceptionstatistics/2014#marital-status-at-conception (accessed on 17 February 2022).
  39. Office for National Statistics (ONS), Released 6 December 2022, ONS Website, Statistical Bulletin, Adult Smoking Habits in the UK: 2021. Available online: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandlifeexpectancies/bulletins/adultsmokinghabitsingreatbritain/2021. (accessed on 17 February 2022).
  40. Public Health England (PHE). NDNS: Results from Years 9 to 11 (Combined)—Statistical Summary; Public Health England (PHE): London, UK, 2020.
  41. Stephenson, J.; Heslehurst, N.; Hall, J.; Schoenaker, D.A.J.M.; Hutchinson, J.; Cade, J.E.; Poston, L.; Barrett, G.; Crozier, S.R.; Barker, M.; et al. Before the beginning: Nutrition and lifestyle in the preconception period and its importance for future health. Lancet 2018, 391, 1830–1841. [Google Scholar] [CrossRef]
  42. Ashman, A.M.; Collins, C.E.; Hure, A.J.; Jensen, M.; Oldmeadow, C. Maternal diet during early childhood, but not pregnancy, predicts diet quality and fruit and vegetable acceptance in offspring. Matern. Child Nutr. 2016, 12, 579–590. [Google Scholar] [CrossRef]
  43. Makama, M.; Brown, W.J.; Lim, S.; Skouteris, H.; Harrison, C.L.; Joham, A.E.; Mishra, G.D.; Teede, H.; Moran, L.J. Levels of physical activity and sitting time in women with infants, toddlers and preschoolers: A population-based cross-sectional study. Public Health 2023, 214, 1–9. [Google Scholar] [CrossRef] [PubMed]
  44. Dalrymple, K.V.; Uwhubetine, O.; Flynn, A.C.; Pasupathy, D.; Briley, A.L.; Relph, S.A.; Seed, P.T.; O’Keeffe, M.; Poston, L. Modifiable Determinants of Postpartum Weight Loss in Women with Obesity: A Secondary Analysis of the UPBEAT Trial. Nutrients 2021, 13, 1979. [Google Scholar] [CrossRef] [PubMed]
  45. Mannan, M.; Doi, S.A.; Mamun, A.A. Association between weight gain during pregnancy and postpartum weight retention and obesity: A bias-adjusted meta-analysis. Nutr. Rev. 2013, 71, 343–352. [Google Scholar] [CrossRef]
  46. McAndrew, F.; Thompson, J.; Fellows, L.; Large, A.; Speed, M.; Renfrew, M.J. Infant Feeding Survey 2010; Health and Social Care Information Centre: Leeds, UK, 2012.
  47. Marshall, N.E.; Lau, B.; Purnell, J.Q.; Thornburg, K.L. Impact of maternal obesity and breastfeeding intention on lactation intensity and duration. Matern. Child Nutr. 2019, 15, e12732. [Google Scholar] [CrossRef] [PubMed]
  48. Oakley, L.L.; Renfrew, M.J.; Kurinczuk, J.J.; Quigley, M.A. Factors associated with breastfeeding in England: An analysis by primary care trust. BMJ Open 2013, 3, e002765. [Google Scholar] [CrossRef] [PubMed]
  49. Rito, A.I.; Buoncristiano, M.; Spinelli, A.; Salanave, B.; Kunešová, M.; Hejgaard, T.; García Solano, M.; Fijałkowska, A.; Sturua, L.; Hyska, J.; et al. Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative—COSI 2015/2017. Obes. Facts 2019, 12, 226–243. [Google Scholar] [CrossRef]
  50. Shim, J.-S.; Oh, K.; Kim, H.C. Dietary assessment methods in epidemiologic studies. Epidemiol. Health 2014, 36, e2014009. [Google Scholar] [CrossRef] [PubMed]
  51. McGowan, C.A.; McAuliffe, F.M. Maternal nutrient intakes and levels of energy underreporting during early pregnancy. Eur. J. Clin. Nutr. 2012, 66, 906–913. [Google Scholar] [CrossRef]
  52. McNitt, K.M.; Hohman, E.E.; Rivera, D.E.; Guo, P.; Pauley, A.M.; Gernand, A.D.; Symons Downs, D.; Savage, J.S. Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity. Nutrients 2022, 14, 2326. [Google Scholar] [CrossRef]
Figure 1. Median Weight from Booking to 12 Months Postnatal. Booking (1st trimester): n = 35, median 99.0 kg (IQR 90.6, 106.5); 36 weeks gestation: n = 25, median 106.1 kg (IQR 100.8, 120); 3-months postnatal: n = 20, median 95.1 kg (IQR 87.8, 108.2); 6-months postnatal: n = 22, median 96.5 kg (IQR 89.1, 107.6); 9-months postnatal: n = 10, median 97.4 kg (IQR 91.8, 104.8); 12-months postnatal: n = 20, median 98.0 kg (IQR 87.8, 107.2).
Figure 1. Median Weight from Booking to 12 Months Postnatal. Booking (1st trimester): n = 35, median 99.0 kg (IQR 90.6, 106.5); 36 weeks gestation: n = 25, median 106.1 kg (IQR 100.8, 120); 3-months postnatal: n = 20, median 95.1 kg (IQR 87.8, 108.2); 6-months postnatal: n = 22, median 96.5 kg (IQR 89.1, 107.6); 9-months postnatal: n = 10, median 97.4 kg (IQR 91.8, 104.8); 12-months postnatal: n = 20, median 98.0 kg (IQR 87.8, 107.2).
Nutrients 15 03805 g001
Table 1. Maternal diet at 3-, 6-, 9- and 12-months postnatal (Median, IQR unless specified).
Table 1. Maternal diet at 3-, 6-, 9- and 12-months postnatal (Median, IQR unless specified).
3-Months6-Months9-Months12-Months
Milk mL/d142 (142, 285)142 (142, 285)142 (142, 285)142 (36, 285)
Reduced fat (n, %)19 (79.2)18 (81.8)8 (66.7)11 (55)
Full fat (n, %)3 (12.5)3 (13.6)3 (25)5 (25)
None (n, %)2 (8.3)1 (4.5)1 (8.3)4 (20)
Spread g/d6 (0, 11)9 (4, 23)10 (5, 14)5 (1, 9)
Reduced fat (n, %)11 (45.8)13 (59.1)6 (50)12 (60)
Full fat (n, %)7 (29.2)8 (36.4)5 (41.7)4 (20)
None (n, %)6 (25)1 (4.5)1 (8.3)4 (20)
Cheese g/d4 (0, 30)9 (0, 36)4 (0, 22)12 (0, 25)
Reduced fat (n, %)3 (12.5)3 (13.6)2 (16.7)2 (10.0)
Full fat (n, %)12 (50.0)13 (59.1)6 (50.0)12 (60.0)
None (n, %)9 (37.5)6 (27.3)4 (33.3)6 (30.0)
Sugary Drinks mL/d158 (40, 500)80 (3, 279)14 (0, 211)57 (14, 518)
Fruit juice0 (0, 27)0 (0, 28)7 (0, 24)14 (0, 24)
Sugar-sweetened beverages151 (0, 490)76 (0, 226)0 (0, 178)10 (0, 500)
Starchy carbohydrate foods g/d103 (62, 140)93 (71, 158)109 (88, 160)85 (29, 149)
Rice, pasta, noodles, potatoes14 (12, 17)16 (13, 18)16 (11, 20)15 (13, 19)
Takeaway and oven chips4 (3, 6)5 (4, 6)5 (3, 6)4 (4, 6)
Bread g/d51 (26, 76)54 (31, 90)72 (57, 126)36 (12, 72)
Wholemeal bread (n, %)12 (50.0)11 (50.0)5 (41.7)10 (50.0)
White bread (n, %)9 (37.5)10 (45.5)7 (58.3)7 (35.0)
No bread (n, %)3 (12.5)1 (4.5)03 (15.0)
Breakfast cereal g/d10 (0, 30)0 (0, 38)0 (0, 20)0 (0, 29)
Refined breakfast cereal (n, %)7 (29.2)3 (13.6)3 (25)2 (10.0)
Non-refined breakfast cereal (n, %)7 (29.2)6 (27.3)1 (8.3)5 (25.0)
No breakfast cereal (n, %)10 (41.7)13 (59.1)8 (66.7)13 (65.0)
Fruits and Vegetables g/d161 (80, 355)147 (58, 256)131 (41, 306)136 (47, 286)
Vegetables89 (33, 178)78 (42, 132)75 (41, 306)68 (22, 115)
Fruits50 (20, 200)81 (17, 152)67 (35, 156)45 (16, 137)
Servings of fruit and vegetables per day a2.01.81.61.7
Snacks g/d43 (26, 84)51 (24, 93)61 (27, 145)31 (14, 70)
Crisps and fried snacks3 (2, 4)5 (4, 5)4 (2, 5)2 (2, 5)
Sweet snacks33 (22, 75)45 (18, 84)52 (18, 140)26 (9, 64)
Yoghurt3 (1, 5)3 (1, 4)3 (1, 6)2 (1, 4)
Meat and fish g/d151 (93, 222)169 (128, 195)147 (95, 197)124 (85, 169)
Red meat21 (11, 68)68 (22, 96)68 (3, 68)22 (14, 68)
Processed meat and fish19 (19, 54)28 (0, 55)19 (19, 38)19 (10, 35)
Fish (including processed)16 (7, 32)17 (0, 35)37 (15, 53)23 (0, 35)
Oily fish0 (0, 7)0 (0, 13)4 (0, 17)0 (0, 9)
a Servings of fruit and vegetables calculated based on 80 g serving size, e.g., median intake of 161/80 = 2.0 portions per day.
Table 2. Maternal physical activity at 3-, 6-, 9- and 12-months postnatal.
Table 2. Maternal physical activity at 3-, 6-, 9- and 12-months postnatal.
MET-h/Week Median (IQR)
3-Months6-Months9-Months12-Months
Total (EE)213.4 (137.9–295.5)224.3 (163.8–292.1)239.3 (163.2–313.2)300.7 (198.2–415.5)
Sedentary PA17.9 (14.9–29.4)17.9 (7.4–18.1)17.9 (17.9–29.4)17.9 (7.4–29.3)
Light PA102.5 (76.4–150.9)111.3 (75.3–155.4)111.7 (93.4–146.0)146.0 (105.4–204.0)
Moderate PA89.6 (51.1–115.1)89.2 (53.8–138.4)76.6 (40.2–127.3)109.6 (66.5–210.4)
Vigorous PA0.8 (0.0–0.8)0.0 (0.0–0.8)0.0 (0.0–0.0)0.0 (0.0–1.4)
Household/ care PA166.6 (102.84–212.2)180.1 (107.4–234.2)131.9 (101.2–180.1)163.5 (107.4–238.0)
Occupational PA0.0 (0.0–0.0)0.0 (0.0–0.0)0.0 (0.0–88.9)0.0 (0.0–123.5)
Sport PA5.3 (1.7–13.6)4.0 (1.3–5.5)0.5 (0.0–5.3)1.6 (0.1–6.4)
Transport PA28.0 (10.2–43.3)23.3 (10.5–31.5)13.4 (10.7–22.6)17.4 (10.7–40.7)
Inactive PA21.5 (16.7–32.8)17.9 (7.4–22.0)29.4 (17.9–30.5)17.9 (7.4–34.5)
Abbreviations: METs = Metabolic Energy Equivalents, EE = energy expenditure, and PA = physical activity.
Table 3. Postnatal weight change at 3-, 6-, 9- and 12-months, from booking and 3rd-trimester weights.
Table 3. Postnatal weight change at 3-, 6-, 9- and 12-months, from booking and 3rd-trimester weights.
Median (IQR) Postnatal Weight Change
PopulationWeight Change Period3 Months6 Months9 Months12 Months
All womenFrom booking−2.3 (−9.7, 1.6)−1.3 (−6.9, 4.8)−0.8 (−3.5, 3.2)−1.6 (−8.8, 3.3)
From 3rd trimester−11.6 (−15.6, −5.2)−10.2 (−12.7, −5.0)−9.0 (−11.2, −6.0)−9.0 (−10.8, −4.1)
GWG
“not excessive”
From booking−9.7 (−13.5, −2.2)−8.0 (−10.8, −2.5)−2.7 −4.4 (−9.4, 3.6)
From 3rd trimester−11.5 (−13.7, −4.2)−10.2 (−12.7, −5.4)−6.1−7.2 (−12.0, −0.6)
GWG
“excessive”
From booking−1.8 (−2.5, 4.2)2.3 (−3.4 6.0)−0.8 (−3.0, 0.8)−0.3 (−7.1, 2.2)
From 3rd trimester−11.9 (−16.1, −9.4)−10.1 (−13.3, −4.2)−9.8 (−11.1, −6.8)−9.0 (−18.9, −5.8)
Weight measured at booking is in the 1st trimester of pregnancy. Weight measured in the 3rd trimester of pregnancy was approximately 36 weeks gestation. GWG “not excessive” refers to weight gain within or below guideline recommendations [7]. Abbreviations: GWG = gestational weight gain; IQR = interquartile range.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Heslehurst, N.; Cullen, E.; Flynn, A.C.; Briggs, C.; Smart, L.; Rankin, J.; McColl, E.; Sniehotta, F.F.; McParlin, C. Maternal Obesity and Patterns in Postnatal Diet, Physical Activity and Weight among a Highly Deprived Population in the UK: The GLOWING Pilot Trial. Nutrients 2023, 15, 3805. https://doi.org/10.3390/nu15173805

AMA Style

Heslehurst N, Cullen E, Flynn AC, Briggs C, Smart L, Rankin J, McColl E, Sniehotta FF, McParlin C. Maternal Obesity and Patterns in Postnatal Diet, Physical Activity and Weight among a Highly Deprived Population in the UK: The GLOWING Pilot Trial. Nutrients. 2023; 15(17):3805. https://doi.org/10.3390/nu15173805

Chicago/Turabian Style

Heslehurst, Nicola, Emer Cullen, Angela C. Flynn, Chloe Briggs, Lewis Smart, Judith Rankin, Elaine McColl, Falko F. Sniehotta, and Catherine McParlin. 2023. "Maternal Obesity and Patterns in Postnatal Diet, Physical Activity and Weight among a Highly Deprived Population in the UK: The GLOWING Pilot Trial" Nutrients 15, no. 17: 3805. https://doi.org/10.3390/nu15173805

APA Style

Heslehurst, N., Cullen, E., Flynn, A. C., Briggs, C., Smart, L., Rankin, J., McColl, E., Sniehotta, F. F., & McParlin, C. (2023). Maternal Obesity and Patterns in Postnatal Diet, Physical Activity and Weight among a Highly Deprived Population in the UK: The GLOWING Pilot Trial. Nutrients, 15(17), 3805. https://doi.org/10.3390/nu15173805

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop