Obesity in pregnancy
Over the past four decades, the prevalence of obesity (as defined by the BMI) in adults has risen dramatically(Reference Ng, Fleming and Robinson1), and obesity has become one of the most commonly presenting risk factors in obstetric practice. The prevalence of obesity in pregnancy rose from 9–10 % in the early 1990s, to 16–19 % in the subsequent decade(Reference Heslehurst, Lang and Rankin2,Reference Kanagalingam, Forouhi and Greer3) , and in 2017, data from the UK Maternity Services Dataset from booking appointments showed that 18⋅3 % of women presented with obesity, and 3⋅3 % with severe obesity(4).
Obesity significantly increases the risk of pre-pregnancy, pregnancy and postpartum complications. Women with obesity are at high risk of developing pre-pregnancy type 2 diabetes mellitus and chronic hypertension(Reference Gorsch, Wen and Lonier5,Reference Bramham, Parnell and Nelson-Piercy6) , which in turn increase the risk of adverse outcomes for both the mother and the offspring, including preeclampsia, requiring induction of labour, miscarriage, fetal macrosomia or delivery of a large-for-gestational age infant, congenital abnormalities, preterm delivery, caesarean section and perinatal death(Reference Bramham, Parnell and Nelson-Piercy6–Reference Zwink, Jenetzky and Brenner8). Obesity also independently directly affects these outcomes(Reference Huo, Zhang and Wang9–Reference Poobalan, Aucott and Gurung15). In later stages of pregnancy, women with obesity are four to nine times more likely to develop gestational diabetes mellitus (GDM)(Reference Marchi, Berg and Dencker16), and three to ten times more likely to develop preeclampsia(Reference Marchi, Berg and Dencker16–Reference Wang, Wang and Liu18), compared to women in the normal BMI range.
GDM is the most common obesity-related complication during pregnancy(Reference Lavery, Friedman and Keyes19), and most strongly associated with future chronic disease for the mother and the offspring(Reference McIntyre, Catalano and Zhang20). This review provides an overview of dietary interventions delivered during pregnancy for the prevention of GDM.
Excessive weight as a risk factor for gestational diabetes mellitus
GDM is hyperglycaemia that develops or is recognised for the first time during pregnancy, mainly in the second or third trimester, that does not include pre-pregnancy overt diabetes(21). It is a multifactorial disease, which develops as a result of genetic, epigenetic and environmental factors. Among modifiable risk factors for GDM, prenatal maternal excess weight is the strongest(Reference Najafi, Hasani and Izadi22). The risk of GDM is almost 3-fold higher in women with a BMI of 30–34⋅9 kg/m2, and 4-fold higher in women with a BMI of 35–39⋅9 kg/m2, compared to women with BMI <30 kg/m2(Reference Weiss, Malone and Emig23). In a recent systematic review and meta-analysis(Reference Najafi, Hasani and Izadi22), the pooled estimates (adjusted OR) of GDM risk in women in the underweight, overweight and obese categories were 0⋅68, 2⋅01 and 3⋅98 respectively, and there was a dose–response relationship between increasing BMI and GDM risk, with GDM risk increasing 4 % per unit increase in BMI, in both unadjusted and adjusted models for confounders.
While evidence has consistently demonstrated that starting pregnancy with excess weight increases the risk of GDM, there seems to also be an association with gestational weight gain (GWG). Evidence from observational studies has shown that increased GWG is associated with adverse pregnancy outcomes, including GDM, as well as caesarean delivery, hypertensive disorders of pregnancy and large-for-gestational age infants(Reference Shin and Song24–Reference Mohammadi, Maroufizadeh and Omani-Samani26). More specifically, a greater rate of, and excessive GWG, especially in the first trimester, have been associated with 3-to-4-fold increased risk of GDM(Reference Brunner, Stecher and Ziebarth27–Reference Gibson, Waters and Catalano29). In 2009, the US Institute of Medicine issued guidelines for the appropriate amount of GWG, according to women's BMI at the beginning of pregnancy, including recommendations for rate of weight gain in each trimester(Reference Rasmussen, Catalano and Yaktine30). These recommendations have not been formally adopted in the UK, and currently, there are no UK-specific guidelines on the ideal GWG(31). For women with a BMI of 30 kg/m2 and above, the National Institute for Health and Care Excellence recommends referral to a healthcare professional (HCP) for personalised lifestyle advice(31,Reference Denison, Aedla and Keag32) .
Since the publication of the National Institute for Health and Care Excellence guidance on weight management in pregnancy, systematic reviews(Reference Thangaratinam, Rogozinska and Jolly33–Reference Faucher and Barger36), cohort studies(Reference Harper, Tita and Biggio37–Reference Swank, Marshall and Caughey40) and randomised controlled trials (RCT)(Reference Poston, Bell and Croker41–Reference Simmons, Jelsma and Galjaard44) have shown that GWG above or below the Institute of Medicine recommendations increased adverse pregnancy outcomes. More recently, a systematic review, meta-analysis and meta-regression of diverse international cohorts, looking at the association of GWG above or below Institute of Medicine thresholds with pregnancy outcomes, confirmed the earlier findings, although could not assess the impact on GDM, because of heterogeneity in the definitions used, and inconsistency in findings regarding GDM risk, and in treatments used(Reference Goldstein, Abell and Ranasinha45). Evidence from RCT has also previously suggested that dietary interventions to reduce overweight or obesity during pregnancy are not harmful to the mother or the fetus(Reference Thangaratinam, Rogozińska and Jolly34). In view of the aforementioned, it remains debatable if weight maintenance for women with obesity during pregnancy should be recommended(Reference Comstock46).
Interventions for the prevention of gestational diabetes mellitus
There has been a substantial amount of research evaluating interventions aiming at reducing the risk of GDM. In the UK, guidelines recommend that general healthy eating advice should be offered early in pregnancy at the booking appointment, but the content and structure of the advice is not specified for the purpose of preventing GDM(47). Similarly, although physical activity recommendations are more specific than dietary recommendations(48), there is no advice about what information (if any) women should be given to prevent GDM. Several interventions have aimed at limiting GWG, often as a surrogate measure for clinical outcomes, based on the assumption that lower GWG will in turn improve maternal and neonatal outcomes, including preventing GDM(Reference Fair and Soltani49,Reference Griffith, Alsweiler and Moore50) . In this review, we were specifically interested in the characteristics, content and effect of some of the most known and/or recent preventative dietary interventions, which we have summarised in Table 1, and commented on next.
CI, confidence interval; GDM, gestational diabetes mellitus; GI, glycaemic index; GWG, gestational weight gain; HE, healthy eating; IOM, Institute of Medicine; N/A, not applicable; OR, odds ratio; PA, physical activity; RR, risk ratio; TGL, triglycerides; UC, usual care.
Intervention content
Most dietary interventions(Reference Fair and Soltani49,Reference Griffith, Alsweiler and Moore50) promoted general healthy eating advice according to national recommendations, with emphasis on restriction of sugar intake and increased fibre intake. In women with overweight or obesity, some, but not all interventions also encouraged reduced energy intake. The majority of dietary interventions have been combined with some physical activity advice or programme. The behavioural basis for the interventions is often not described, but where it is, interventions were informed by elements from the control and/or social cognitive theories, and involving goal-setting, self-monitoring of goals and weight, problem solving and in some cases, social support and motivational strategies.
In the UK pregnancies better eating and activity trial(Reference Poston, Bell and Croker41), 1555 women with obesity, of multiple ethnicities residing in the UK, were offered from approximately 17 weeks' gestation, a complex intervention on behaviour change and self-monitoring of diet and physical activity, or standard antenatal care of lifestyle advice at the booking appointment. To improve glucose tolerance, women in the intervention group were encouraged to follow a healthy eating pattern, but to not necessarily restrict their energy intake. The dietary advice emphasised swapping carbohydrate-rich foods of medium-high glycaemic index with lower glycaemic index foods, to reduce glycaemic load of the diet, as well as reducing foods high in saturated fat. Physical activity advice focused on gradual increases in walking to reach moderate intensity, with options for additional physical activity/exercise. In the Finnish gestational diabetes prevention (RADIEL) study(Reference Koivusalo, Rönö and Klemetti51), women with a history of GDM and/or pre-pregnancy obesity were randomised to either individualised diet, physical activity and weight management counselling, or to receive leaflets with general information on diet, physical activity and weight control during pregnancy, as well as health education according to standard practice. In this study, intervention participants with obesity were advised to not gain weight during the first two trimesters. The dietary advice was based on the Nordic Nutrition Recommendations(Reference Becker, Lyhne and Pedersen52), and aimed to optimise participants' consumption of fruit and vegetables, berries, high-fibre foods, low-fat dairy products, unsaturated fats, fish and low-fat meat products, and to minimise the intake of sugary foods and drinks. Women were encouraged to follow the ‘plate model’, filling half of the plate with vegetables, one-quarter with complex carbohydrates (e.g. potato, rice, pasta) and one-quarter with protein foods (e.g. meat, fish, eggs, beans). The diet provided 6694–7531 kJ/day, with 40–50 % of energy coming from carbohydrates, 30–40 % from fat and 20–25 % from protein. Physical activity recommendations included 150 min of moderate-intensity activity per week and reduction in sedentary lifestyle. Both the diet and the activity plan in this study were monitored, and tailored to each woman's abilities, progress and preferences. For example, if a woman was struggling with physical activity, the focus would shift towards diet.
A few trials promoted a Mediterranean-style diet(Reference Zhang, Xia and Weng53). For example, ESTEEM (effect of simple, targeted diet in pregnant women with metabolic risk factors on pregnancy outcomes) was a multicentre RCT across five maternity units in the UK, in 1252 women with metabolic risk factors (obesity, chronic hypertension or hypertriglyceridaemia), which assessed whether a Mediterranean-style diet reduces adverse pregnancy outcomes compared to usual antenatal advice on diet, physical activity, weight management and hypertension in pregnancy(Reference Al Wattar, Dodds and Placzek54). The components of the diet included high intake of fruit and vegetables, non-refined grains and legumes, moderate-to-high consumption of fish, small-to-moderate intake of poultry and dairy products, low consumption of red and processed meat and minimal intake of sugary drinks, fast food and foods rich in animal fat. ESTEEM particularly emphasised increased intake of unsaturated fat from nuts (30 g/day) and extra virgin olive oil (0⋅5 l/week). The intervention package included dietary education sessions, advice on grocery shopping, ideas for recipes and healthy eating advice when eating out.
Intervention characteristics
Dietary interventions have been delivered mainly by experienced dietitians and nutritionists, or trained study nurses, and occasionally by trained health coaches or research staff. Most interventions commenced before 20 weeks' gestation, and were delivered until 34–37 weeks' gestation, or until delivery. The number of face-to-face visits has ranged from two to –eight per participant, either as part of, or in addition to routine antenatal appointments, usually supplemented with remote contacts (range two to eleven). The frequency of intervention delivery has been almost equally distributed among the studies, between every 2–3 months, monthly and weekly. Intervention sessions lasted roughly 60 min on average(Reference Fair and Soltani49,Reference Griffith, Alsweiler and Moore50) .
Interventions were delivered mostly through individual face-to-face sessions, but some studies delivered remote interventions, through telephone or mobile applications. For example, Herring et al.(Reference Herring, Cruice and Bennett55) delivered a telephone-based behavioural lifestyle intervention to run alongside routine antenatal appointments, including advice to reduce sugar intake, limit fast foods and foods high in fat, and control portion sizes, incorporate daily walking, and to weekly monitor weight gain to meet Institute of Medicine recommendations, supplemented with daily text messages for encouragement with the programme and enhancing self-efficacy. In the gestational weight gain and optimal wellness trial by Ferrara et al.(Reference Ferrara, Hedderson and Brown56), women in the intervention group received an adapted version of the National Diabetes Prevention Programme designed to be delivered as a mix of in-person and telephone sessions. More recently, an intervention by Ding et al.(Reference Ding, Gou and Guan57), using a mobile social media application, offered a free instant messaging platform for women during pregnancy, to interact with their HCP at any time regarding nutrition and weight management topics.
Beyond counselling, intervention packages included several materials, such as leaflets, fact sheets, newsletters, handbooks, recipe ideas, goal logbooks, diet, physical activity and weight monitoring charts and notebooks, text messages for self-monitoring and encouragement, pedometers, online websites for extra information and digital versatile discs with physical activity regimens. In the RADIEL study, participants also had access free of charge to public swimming pools, and/or guided exercise groups(Reference Koivusalo, Rönö and Klemetti51). In the ESTEEM and St Carlos Mediterranean-style interventions, key foods, such as nuts and/or extra virgin olive oil, were provided to participants in addition to counselling(Reference Al Wattar, Dodds and Placzek54,Reference Assaf-Balut, Garcia de la Torre and Duran58) .
Intervention effects on gestational diabetes mellitus
An individual participant data (IPD) meta-analysis of trials of diet and physical activity interventions in women with overweight or obesity in pregnancy(59) showed that the intervention groups gained less weight than usual care groups (from booking appointment until before delivery), with mean difference of −0⋅70 kg and 95 % CI −0⋅92, −0⋅48 kg, and relatively low heterogeneity (I 2 = 14⋅1 %), consistent across various subgroups of women based on age, parity, BMI, ethnicity and pre-pregnancy medical conditions. However, there was considerable variability in the intensity of the interventions and definitions of outcomes. The majority of trials failed to reduce GDM risk (OR 0⋅89, 95 % CI 0⋅72, 1⋅10). A potential benefit from lifestyle interventions in preventing GDM was shown only when aggregated and IPD data were combined, and not in the IPD meta-analysis alone, but the accuracy of this approach is doubtful(59,Reference Rogozinska, Marlin and Jackson60) .
In a recent Cochrane overview of systematic reviews and meta-analyses, quality of evidence from preventative lifestyle RCT for GDM was reported as low, due to variations in the definitions of GDM, type and intensity of interventions and controls, sparse data on compliance, heterogeneity in patient and study characteristics and selection criteria(Reference Griffith, Alsweiler and Moore50). Overall, low quality of evidence from systematic reviews shows no benefit or harm from physical activity or exercise interventions alone, against routine antenatal care, on the risk of GDM (risk ratio 1⋅10, 95 % CI 0⋅66, 1⋅84)(Reference Griffith, Alsweiler and Moore50), although higher quality systematic reviews have demonstrated significant reductions in incidence of GDM(Reference Bennett, Walker and Blumfield61,Reference Davenport, Ruchat and Poitras62) . The effect of dietary advice alone on GDM risk is also unclear. A small number of Mediterranean-style diets have shown a significant benefit compared to routine antenatal care (OR 0⋅66, 95 % CI 0⋅52, 0⋅82), with no heterogeneity(Reference Zhang, Xia and Weng53). However, overall, low quality of evidence again suggested that dietary interventions alone do not seem to confer a benefit or harm regarding GDM risk (risk ratio 0⋅60, 95 % CI 0⋅35, 1⋅04)(Reference Griffith, Alsweiler and Moore50). Low-quality evidence has also shown unknown benefit or harm of low glycaemic index diets v. moderate-high glycaemic index diets on risk of GDM (risk ratio 0⋅91, 95 % CI 0⋅63, 1⋅31)(Reference Griffith, Alsweiler and Moore50). Conversely, moderate-quality evidence suggested that a combination of diet and exercise can possibly reduce the risk of GDM (risk ratio 0⋅85, 95 % CI 0⋅71, 1⋅01), but it is unclear if these beneficial effects apply to all women or only to high-risk women (e.g. high BMI, age, high-risk ethnicity)(Reference Griffith, Alsweiler and Moore50). In addition, many lifestyle interventions lack detailed reporting about the type, intensity, content, theoretical basis and setting of the intervention, as well as cost-effectiveness analysis, which prevents their delivery in a scalable way.
The mechanism behind the success of some dietary interventions over others in preventing GDM is unknown. A meta-analysis and meta-regression suggested that key aspects which confer benefit among successful interventions are: targeting a high-risk population based on risk evaluation models (including important GDM risk factors and not just BMI), early implementation of the intervention (e.g. before 20 weeks' gestation, or ideally, in the first trimester) and attenuation of GWG through intense diet and exercise programmes(Reference Guo, Shu and Fu63). However, although pregnancy is a unique time when women are in frequent contact with their clinical care team, and are motivated to make lifestyle changes to protect the health of their baby, intensive lifestyle modifications, especially those requiring face-to-face counselling and multiple visits, may be hard to follow, can decrease treatment efficacy and may not be feasible in routine care(Reference Yeo, Samuel-Hodge and Smith64). The UK pregnancies better eating and activity trial with good attendance rates (seven of eight sessions) led to only a small difference in GWG between the groups (−0⋅42 kg from before pregnancy up to 28 weeks' gestation, intervention v. control), and an increase in exercise by 7⋅5 metabolic equivalent of task hours/week, with no differences in moderate or vigorous activity between the groups(Reference Poston, Bell and Croker41), while data have shown that an increase of 16 metabolic equivalent of task hours/week of exercise may be required as a minimum to reduce GDM, with increase in vigorous exercise when appropriate(Reference Zhang, Solomon and Manson65). Trials that have shown effectiveness in GDM prevention so far have included intensive face-to-face dietetic support and/or provision of key foods to study participants, but they provide no indication of how these strategies could be delivered in routine antenatal care(Reference Koivusalo, Rönö and Klemetti51,Reference Al Wattar, Dodds and Placzek54,Reference Assaf-Balut, Garcia de la Torre and Duran58,Reference Bruno, Petrella and Bertarini66,Reference Petrella, Malavolti and Bertarini67) . The RADIEL study reduced GDM incidence by 39 % in women at high risk, but required extra face-to-face visits and a group session to deliver standard healthy eating and physical activity advice. This may not be manageable in routine practice, given the amount of appointments women are already required to attend during pregnancy, and competing priorities they face (e.g. childcare, work)(Reference Koivusalo, Rönö and Klemetti51). The ESTEEM and St Carlos trials implemented Mediterranean-style dietary advice supplemented with extra virgin olive oil and nuts, provided as part of the trial, from early or mid-pregnancy, and showed a similar reduction in GDM risk(Reference Al Wattar, Dodds and Placzek54,Reference Assaf-Balut, Garcia de la Torre and Duran58) . Nevertheless, wide scale implementation of a Mediterranean-style diet in certain countries such as the UK could be challenging. Studies outside pregnancy show that people have a favourable attitude towards this type of diet, but there are a number of barriers to adoption. The diet exists in many different versions, is perceived in various ways and knowledge of its composition is limited(Reference Huo, Du and Xu68,Reference Bloomfield, Koeller and Greer69) . This diet may also not be acceptable to people of all ethnic backgrounds, and the cost of foods such as extra virgin olive oil is higher(Reference Bush H, Bradby and Anderson70–Reference Moore, McEvoy and Prior72).
Data also support the effectiveness of technology-assisted interventions for weight control, offering convenience, and facilitating engagement, retention and delivery at high intensity, but at low cost(Reference Bennett, Herring and Puleo73–Reference Bennett, Foley and Levine75). For example, in women with established GDM, telehealth has been shown to increase efficiency and to improve perinatal outcomes(Reference Ferrara, Hedderson and Brown56). Herring et al.(Reference Herring, Cruice and Bennett55), in a high-intensity preventative trial in women of African descent, with overweight and obesity, tested an inexpensive technology-assisted behavioural intervention requiring little health coaching, involving regular contact with HCP via text messaging and phone calls, as well as social support through a social media forum, and showed that the intervention significantly reduced GWG and prevalence of excess GWG, compared to usual care (also involving guidance on optimal GWG). The benefits in GWG did not translate into reduction in GDM incidence; however, this study was not statistically powered to detect such difference. Ding et al.(Reference Ding, Gou and Guan57) used social software to assist with delivery of the intervention, but this was still intense, as it involved interaction with HCP at any time for personalised counselling and information, in addition to general education, daily exercise plan and weekly messaging from HCP. In this study, the incidence of GDM was significantly lower in the intervention group (24 %) than in the control group (37⋅8 %). However, reported differences in rates of GDM between the two groups in this study were unadjusted for known confounders, which could have changed the direction or significance of the results.
In view of the aforementioned, lack of clarity about effective components and mechanisms of complex diet and/or physical activity interventions remains. What the results of some successful interventions suggest however could be that dietary modification with or without physical activity can have an effect on GDM risk, independent of GWG control, since the weight gain difference between the two trial arms was only −1⋅2 kg in the ESTEEM(Reference Al Wattar, Dodds and Placzek54), and −0⋅5 kg in the RADIEL study(Reference Koivusalo, Rönö and Klemetti51), in favour of the intervention. But the optimum dietary composition is unknown. In the RADIEL study, there was only a small improvement reported in adherence to the diet recommendations in the intervention group compared with the control group, as indicated by a diet quality score(Reference Koivusalo, Rönö and Klemetti51). In the Mediterranean dietary interventions, it was speculated that increased unsaturated fat and polyphenol consumption might have been beneficial with regards to insulin sensitivity and inflammation(Reference Al Wattar, Dodds and Placzek54,Reference Assaf-Balut, Garcia de la Torre and Duran58) . However, a reduction in dietary carbohydrate as a natural result of higher fat and protein consumption, under conditions when energy intake remains similar, may have also played a role. Indeed, successful interventions to date included some advice for reducing sugar consumption and/or moderating starchy foods, but detailed dietary data are not reported in most of them, so as to explore this. In the recent remote intervention by Ding et al.(Reference Ding, Gou and Guan57), both groups were consuming a diet high in carbohydrates (average of 283 and 277 g/day in the intervention and control groups, respectively), from baseline until the point of testing for GDM, with no difference between the groups, throwing doubt on the need for carbohydrate reduction, though again notably, analyses were not adjusted for confounders. The authors attributed the benefit in GDM risk to early implementation before 12 weeks' gestation, and to the higher than usual frequency of contact of women with their HCP, although they do not report engagement data. One RCT specifically aimed at reducing total carbohydrate intake as part of an intensive healthy eating intervention(Reference Simmons, Devlieger and van Assche76). In this study, women were randomised to receive healthy eating alone, or physical activity advice alone, both, or usual care, and as part of the dietary advice, they were encouraged to eat more non-starchy vegetables, and reduce intake of both starchy carbohydrates and sugary foods and drinks. Women in any of the intervention arms did not significantly limit their GWG compared to usual care, before the time point of GDM diagnosis (<20 weeks' gestation until 24–28 weeks' gestation). This study was underpowered to detect difference in GDM, and although it resulted in significant reduction in total carbohydrate intake in favour of the healthy eating only group compared to usual care at 24–28 weeks' gestation, the degree of reduction was small (−4⋅8 portions/week, <1 portion/day). Thus, the effect of a reduced-carbohydrate diet as a preventative strategy for GDM remains to be investigated.
Conclusion
In conclusion, carrying or gaining excess weight during pregnancy increases the risk of hyperglycaemia and GDM. Several interventions to date have aimed to control GWG and blood glucose in women with overweight or obesity through changes in diet and/or physical activity but not all were powered to detect differences in GDM incidence. Dietary interventions varied in intensity, content as well as screening and diagnosis procedures, and definitions of outcomes. Only a small number of dietary interventions in women with overweight or obesity have been effective in reducing GDM incidence, and the mechanism mediating the effect, as well as the optimum dietary composition are still unknown. Implementation from as early as possible in pregnancy seems to be key to success. Greater intervention intensity (intensive dietetic support and/or provision of key foods, sometimes with support for increased physical activity) may have also contributed to improved outcomes, but incorporating this support into routine antenatal care for every woman living with overweight or obesity might not be feasible. Importantly, some of the successful interventions targeted women not only with obesity, but also other GDM and metabolic risk factors, such as previous GDM, hypertension and dyslipidaemia. New risk models based not solely on BMI, but also on other risk factors, could help identify women most likely to benefit from interventions, allowing targeting of resources and increasing the likelihood of intervention effectiveness. Future dietary interventions need to develop and test the effectiveness of programmes which have the possibility of being delivered at scale. One possibility might be to offer a reduced-carbohydrate approach, given evidence that it has helped people with type 2 diabetes or established GDM achieve weight and blood glucose control, but the feasibility and acceptability of this strategy from early pregnancy in women at risk of GDM needs to be determined.
Financial Support
This work was supported by the NIHR Oxford Biomedical Research Centre (grant number IS-BRC-115-20008). M. M.'s time on this work was funded by Oxford-Medical Research Council Doctoral Training Partnership (grant number MR/N013468/1). The authors declare that funders had no role in the preparation, conduct and writing of the literature review and the decision to submit the review for publication.
Conflict of Interest
None.
Authorship
M. M. conducted the literature review and drafted the manuscript for publication. N. M. A. and S. A. J. provided input to, and approved the final manuscript.