To describe how maternal obesity prevalence varies by established international and South Asian specific body mass index (BMI) cut-offs in women of Pakistani origin and investigate whether different BMI thresholds can help to identify women at risk of adverse pregnancy and birth outcomes.
Prospective bi-ethnic birth cohort study (the Born in Bradford (BiB) cohort).
Bradford, a deprived city in the North of the UK.
A total of 8478 South Asian and White British pregnant women participated in the BiB cohort study.
Main outcome measures:
Maternal obesity prevalence; prevalence of known obesity-related adverse pregnancy outcomes: mode of birth, hypertensive disorders of pregnancy (HDP), gestational diabetes, macrosomia and pre-term births.
Application of South Asian BMI cut-offs increased prevalence of obesity in Pakistani women from 18.8 (95% confidence interval (CI) 17.6–19.9) to 30.9% (95% CI 29.5–32.2). With the exception of pre-term births, there was a positive linear relationship between BMI and prevalence of adverse pregnancy and birth outcomes, across almost the whole BMI distribution. Risk of gestational diabetes and HDP increased more sharply in Pakistani women after a BMI threshold of at least 30 kg m−2, but there was no evidence of a sharp increase in any risk factors at the new, lower thresholds suggested for use in South Asian women. BMI was a good single predictor of outcomes (area under the receiver operating curve: 0.596–0.685 for different outcomes); prediction was more discriminatory and accurate with BMI as a continuous variable than as a binary variable for any possible cut-off point.
Applying the new South Asian threshold to pregnant women would markedly increase those who were referred for monitoring and lifestyle advice. However, our results suggest that lowering the BMI threshold in South Asian women would not improve the predictive ability for identifying those who were at risk of adverse pregnancy outcomes.
In the field of adult cardiovascular and metabolic diseases (including diabetes), there is a growing consensus that standard cut-off points for obesity are not equally valid across different ethnic groups, and, in particular, that these should be lowered for South Asians from the Indian subcontinent.1, 2, 3, 4, 5 This viewpoint is being incorporated into disease prevention and control guidelines, both on the Indian subcontinent (body mass index (BMI, kg m−2) of 25 for obesity)5 and in United Kingdom (BMI cut-off of 27.5 kg m−2 for obesity).6 The repercussions are likely to be widespread and not merely confined to cardiovascular and metabolic diseases. Increasingly, researchers are reporting the prevalence of obesity and overweight using both the standard World Health Organisation (WHO) and revised and provisionally recommended cut-offs for some Asian populations.
The WHO has suggested using lower thresholds to define overweight and obesity in South Asians.7 These recommendations are based on the observation that at any given BMI level, South Asians tend to have higher body fat than White Europeans and are supported by expert consensus. However, at the time of their publication, there was little evidence regarding the impact of using these thresholds in clinical and public health practice. Since then, a number of studies have explored their impact focusing largely on cardiometabolic outcomes or all-cause mortality. One study including 4688 White European and 1333 South Asian adults found that the magnitudes of differences in adverse cardiovascular outcomes (glycaemic, lipid and blood pressure (BP) outcomes) and type II diabetes, comparing those who had a BMI over 30 kg m−2 with those who were below this threshold, were present at much lower BMI thresholds (23–28 kg m−2) in South Asians than in White Europeans.1 However, there is an increasing evidence from very large collaborative projects that for major cardiovascular events and all-cause mortality, BMI has linear or ‘J’-shaped association across most of its distribution in all populations.8, 9 That is to say, there is no clear threshold at which BMI results in a marked increase in adverse outcomes. There is a counterpoint that this lower cut-off is not appropriate for some outcomes, including general mortality (at least on the Indian subcontinent).9, 10, 11 There are few studies of any other important health outcomes, and yet, increasingly, the findings in relation to diabetes and metabolism are being applied generally. It is important, therefore, to study the potential consequences of this growing movement to reduce the BMI cut-off, in relation to other health outcomes, and of particular importance and relevance is the cut-off for obesity in pregnant women in multi-ethnic populations.
Greater adiposity in pregnancy is associated with increased risk of gestational diabetes and hypertensive disorders of pregnancy (HDP), large for gestational age, birth weight, birth injury and caesarean section, and for most of these, the association is continuous across most of the BMI distribution.12 Consequently, many national and international antenatal guidelines require overweight and obese women to be identified early in pregnancy and to enable closer monitoring of these women.13, 14 As with cardiometabolic outcomes, the association of BMI with these outcomes is largely continuous across the whole distribution, but cut points are necessary in clinical practice for easily identifying those who are at the top of the distribution and most at risk. Currently, the cut point most frequently recommended to identify pregnant women at risk is the WHO international definition of obesity, 30 kg m−2. To our knowledge, no current national antenatal guidelines recommend using a lower threshold of BMI to identify South Asian women who are at risk of adverse pregnancy or perinatal outcomes. Given that the relationship of BMI to adverse outcomes is likely to be largely driven by the effect of fat,12 and that the newly recommended lower thresholds for South Asians are linked to evidence suggesting that fat mass (or percentage fat) is greater in South Asians than in other ethnic groups at any given BMI level, it is relevant to explore whether a lower threshold in these women would more effectively identify those who are at greatest risk.
The application of the lower WHO-recommended South Asian specific cut-off point of 27.5 kg m−2 for obesity would result in a greater number of referrals of South Asian women compared with using the same threshold of 30 kg m−2 for all ethnic groups. In areas with large South Asian populations, this could have a significant impact on health-care resources; however, if these thresholds are better at identifying women at risk, who can then be effectively managed to reduce later adverse pregnancy outcomes, there could be net benefit. To our knowledge, no previous study has examined the extent to which the new South Asian thresholds increase the prevalence of maternal pregnancy obesity or better predict adverse pregnancy and birth outcomes compared with using the existing threshold of 30 kg m−2 between ethnic groups. The aim of this study is to explore whether there is evidence that use of different thresholds of BMI in women of South Asian origin compared with White British women better identifies those who are at risk of adverse pregnancy and perinatal outcomes.
Materials and methods
The study is set in Bradford, a city in the North of England with a population of nearly 500 000 and high levels of deprivation. Approximately 20% of the general population, and 50% of the women receiving antenatal care in the city, are of South Asian origin.
The BiB is a longitudinal multi-ethnic birth cohort study aiming to examine environmental, psychological and genetic factors that have an impact on health and development perinatally, during childhood and subsequent adult life, and those who influence their parents’ health and well being. All mothers intending to give birth at the Bradford Royal Infirmary from March 2007 to December 2010 were invited to take part in the research during their routine 26–28 week glucose tolerance test. Those who did not attend this appointment were approached elsewhere during routine hospital attendances whenever possible. A total of 12 453 women comprising 13 776 pregnancies were recruited to the study. Analysis in this paper includes only women of Pakistani (n=4547) and White British (n=3931) origin. Restriction to these two ethnic groups is because of the focus on comparing South Asian with white European women, the fact that they form the largest ethnic groups in BiB (and are relatively homogeneous) and that other ethnic groups were too small for separate analysis to be reliable. In addition, participants were excluded from these analyses if they had not completed a baseline questionnaire in which information on ethnicity was collected (n=1057), were carrying multiple births (n=142) or had missing data for delivery and pregnancy outcome details, ethnicity or pregnancy BMI (n=1269). Following these exclusions, 8478 mothers carrying a singleton pregnancy were included in the analyses.
Maternal BMI was calculated using height measured at baseline (26–28 weeks gestation) and weight measured at first antenatal clinic visit (approximately 12 weeks gestation) using Seca 2-in-1 scales (Harlow Healthcare Ltd, London, UK). Ethnicity was self-assigned by the mother at the baseline questionnaire using the same ethnic group classification of the 2001 UK census17 and categorised into White British, Pakistani, other South Asian (Indian, Bangladeshi and other South Asian) and other ethnicities (other White, Black, mixed race and other unspecified).
Outcomes included in the analysis were: mode of birth (caesarean section operative versus vaginal delivery, including babies delivered with forceps/ventouse); HDP (gestational hypertension systolic BP ⩾140 mm Hg, at least 30 mm Hg above 1st trimester BP or diastolic BP ⩾90 mm Hg, or at least 15 mm Hg above 1st trimester BP (at least two readings, 1 h apart), with our without 1+ of proteinuria on dipstick); gestational diabetes (fasting plasma glucose ⩾6.1 mmol l−1 and/or 2 h post challenge (with 75 g polycol glucose load) glucose ⩾7.8 mmol l−1 at 26–28 weeks); macrosomia (infant birth weight >4 kg); and pre-term births (delivered <37 weeks’ gestation). These data were obtained from the obstetric medical records and in the case of gestational diabetes verified by the fasting and post-load glucose measurements that are in the BiB database.
Ethical approval for the study was obtained from the Bradford Research Ethics Committee (Ref 07/H1302/112), and all participants provided written informed consent before inclusion in the research.
All analyses were conducted using Stata statistical software, version 11.2 IC (StataCorp, College Station, TX, USA). Maternal obesity was defined using the WHO classification (BMI ⩾30 kg m−2) and South Asian specific criteria (BMI ⩾27.5 kg m−2). Prevalence of obesity with 95% confidence intervals (CIs) was calculated overall and by ethnicity. All possible thresholds were defined for BMIs between 19 and 40 kg m−2 in one-unit increments. This allowed us to test the predictive ability of the WHO international and South Asian specific cut points in both ethnic groups, but also all other possible thresholds in order to determine which might be the best threshold for these pregnancy outcomes. Prevalence, sensitivity, specificity and positive and negative predictive values were calculated at each threshold for each pregnancy and perinatal outcome. Receiver operating characteristic (ROC) curves were constructed and the area under the ROC (AUROC) calculated to assess the overall accuracy of BMI (as a continuous variable in one-unit increments) to predict the outcomes. All measurements are presented with 95% CIs and are stratified by ethnicity. To examine whether associations were linear across the BMI distribution in both ethnic groups, we split BMI into fifths and used a likelihood ratio test to examine deviation from linearity (comparing a model in which the fifths were included as four indicators, to one in which they were included as an ordinal linear score). We examined the odds of each outcome per 5 kg m−2 greater BMI in each ethnic group using multivariable logistic regression and determined whether this linear association differed between the two ethnic groups by including an interaction term between ethnic group and BMI in these thresholds.
Table 1 shows the prevalence of pregnancy and birth outcomes by ethnicity. According to the WHO criteria, approximately half of the sample were of normal BMI. Prevalence of obesity using these criteria (BMI ⩾30kgm−2) was 25.4% (n=999) in White British women, compared with 18.8% (n=853) in Pakistani women. Application of South Asian specific BMI criteria resulted in fewer Pakistani women being categorised as normal weight from 51.3% (95% CI 49.9–52.8) to 35.9% (95% CI 34.5–37.3) and an increase in obesity prevalence from 18.8% (95 CI 17.6–19.9) to 30.9% (95% CI 29.5–32.2), P<0.001 for difference in BMI categories with the different criteria (Figure 1). If the standard WHO criteria were applied to both groups, the whole cohort prevalence of obesity would be 21.3%; this would increase to 28.3% (95% CI 27.4–29.3) if the South Asian specific threshold were used to define obesity in the Pakistani women (with the White British women still defined using WHO thresholds), P<0.001, for difference in BMI categories for the whole cohort comparing use of the standard WHO criteria for all with South Asian specific criteria in the Pakistani women.
Prevalence of adverse pregnancy and birth outcomes by BMI threshold
Figure 2 shows the prevalence of each outcome by cumulative increments of BMI, and Supplementary Tables S1–S5 give prevalence, sensitivity, specificity, and positive predictive value (PPV) and negative predictive values (NPV) together with 95% CIs for each of these measurements. For all outcomes, except pre-term birth, there was a positive monotonic association between BMI and prevalence of outcomes. White British women had slightly higher prevalence of Caesarean section and hypertensive disorder of pregnancy, and more than double the prevalence of macrosomia compared with Pakistani women across the BMI distribution, but rates of increase in these outcomes with increasing BMI threshold were broadly similar in the two ethnic groups. In both groups, the prevalence of Caesarean section increased more sharply after a BMI threshold of 36 kg m−2. At all BMI threshold levels, the prevalence of gestational diabetes was greater in Pakistani women compared with White British women, and the rate of increase was greater in Pakistani women after a BMI of 33 kg m−2. The prevalence of pre-term birth was low in both groups compared with other outcomes and was not notably related to BMI threshold <28 kg m−2. The prevalence appeared to increase sharply between 28 and 35 kg m−2 and then returned to the earlier consistent value in Pakistani women. None of these analyses supported a marked increase in adverse pregnancy outcomes at a BMI threshold of 27.5 kg m−2 in Pakistani women or at 30.0 kg m−2 in either ethnic group.
Table 2 further illustrates the general linear association of BMI with outcomes in both ethnic groups, by highlighting the association of BMI as a linear exposure (per 5 kg m−2) with each outcome in each ethnic group. This table also shows P-values for deviation from linearity for each of these associations and also P-values for interaction between BMI and ethnicity (that is, testing the null hypothesis that the linear association of BMI with each outcome is the same in each ethnic group). These results showed significantly increased odds between BMI (per 5 kg m−2) and caesarean section, hypertensive disorder of pregnancy, macrosomia and gestational diabetes in both ethnic groups, and of pre-term birth in White British women. There was also a linear association across fifths of BMI for all outcomes in both ethnic groups with the exception of pre-term birth in Pakistani women. Thus, data confirms that (except for pre-term births in Pakistani women; where no association was found) there is no strong statistical support for deviation from linearity in the association of BMI with each outcome for either group. Magnitudes of association of BMI, as a linear exposure, with caesarean births and HDP were similar in the two ethnic groups. However, the magnitude of association of BMI with macrosomia and gestational diabetes was significantly higher in Pakistani women. This is further highlighted in Figure 2, in which the strength of the association is shown to be greater in White British women for macrosomia and greater for Pakistani women for gestational diabetes.
Diagnostic accuracy of BMI to predict adverse outcomes
There was no clear BMI threshold at which outcomes were more accurately identified (Supplementary Tables S1–S5) and no strong statistical evidence for deviation from linearity in either ethnic group for any outcomes (Table 2). Given the pattern of association of outcome prevalence with BMI thresholds shown in Figure 2, as expected, for all outcomes in both ethnic groups, sensitivity and negative NPV decreased with increasing BMI threshold, and specificity and PPV increased with increasing BMI thresholds. At all levels of BMI threshold, specificity and PPV were greater in women of Pakistani origin than in White British women, with sensitivity being correspondingly greater in White British women. For macrosomia, PPV was lower and NPV was higher in Pakistani women at all BMI thresholds. AUCROCs are shown in Figure 3. With the exception of pre-term births, results suggest that BMI alone, across the whole distribution (that is, as a continuous variable), is an acceptable single predictor of adverse outcomes,18, 19, 20 with AUROC ranging from 0.60 to 0.68. AUROC values were similar for White British and Pakistani women.
We have shown that, if the newly proposed South Asian specific BMI threshold of 27.5 kg m−2 were applied to the BIB population, the prevalence of obesity in the whole cohort would increase from 21.3 to 28.3%. In clinical terms, for this one maternity unit with approximately 6000 deliveries per year (approximately 50% of whom are of Pakistani origin), this would result in an increase in the number of women referred for specialist obesity-related antenatal care from 1278 to 1698 each year. Across the whole of United Kingdom, it is estimated that there are 96 908 births to women of South Asian origin annually. If our results were generalisable to all South Asian women in United Kingdom, the application of South Asian obesity cut-offs would increase the number of referrals of South Asian women by 11 726, from 18 219 to 29 945 each year. This increase in referrals would have a considerable impact on health-care resources, and yet our results suggest that there is no increase in risk of adverse perinatal outcomes at a BMI threshold of 27.5 kg m−2 (the South Asian threshold) or indeed at the established international threshold of 30.0 kg m−2, with most outcomes examined showing a positive linear association across most of the BMI distribution. Thus, for these outcomes, our findings do not support use of a South Asian specific BMI threshold.
The BIB is a large birth cohort with high proportion of Pakistani women in which there is longitudinal outcome data.16 We have only compared White British with Pakistani women, because there were too few numbers in other ethnic groups (including among those of ‘other’ South Asian ethnicity). It is possible that results may differ in other South Asian (or other Asian) groups. We did not examine how maternal BMI predicted still births in each ethnic group at different thresholds because of the low prevalence of this outcome (0.6% in the whole cohort). As the relationship of BMI with the outcomes examined here is likely to be driven by body fat, and there is evidence that at a given BMI this is greater in South Asians, it would have been valuable to have had a more direct measure of body fat such as fat mass from DXA scans, or a marker of percentage fat mass, from bioimpedance or skinfold thickness. Such measurements are not available in BiB. However, our study is relevant to clinical practice and exploring the suggestion that lower BMI thresholds should be used to identify individuals at risk if they are of South Asian origin. BMI is the most commonly used measure in clinical practice and screening all pregnant women with more complex measures, such as skinfold thicknesses that are influenced by practitioner’s skills or DXA scans, which might be unacceptable because of the small radiation dose, and is unlikely to be feasible.
Our findings of continuous linear associations of BMI across most of its distribution with adverse pregnancy outcomes in both White British and South Asian women are consistent with other studies showing the same across a number of different ethnic groups.12 The directions were the same in both ethnicities, and the magnitudes of the associations were broadly similar, with the exception of gestational diabetes prevalence, which was higher in women of Pakistani origin, and macrosomia, which was lower in Pakistani compared with White British women at all BMI levels. Again, these findings are consistent with previous studies comparing prevalence rates of gestational diabetes and macrosomia in women of South Asian and European origin.21 Although our aim was not to develop a prediction tool for adverse pregnancy outcomes, it is notable that the discrimination properties of BMI alone when used as a continuous variable for predicting adverse pregnancy outcomes are reasonable. The AUROC of ∼0.6 is comparable to that found for the Framingham prediction tool, which combines several risk factors to predict the risk of coronary heart disease and has been used in several populations.18, 19, 20 It is possible that the addition of other risk factors such as family history and past obstetric history within a prediction tool would increase the accuracy for identifying women at risk of adverse pregnancy outcomes.
To our knowledge, this is the first study to examine the impact of applying the new South Asian BMI thresholds to a pregnant population. Other studies have examined this in more general (non-pregnant) populations. For example, Gray et al.1 concluded that a BMI of 21.5 kg m−2 in South Asian women was equivalent to a BMI of 30 kg m−2 in terms of identifying those who are at risk of glycaemia. However, that study was cross-sectional and tested correlations between BMI and risk factors rather than exploring the accuracy of individual BMI thresholds at predicting actual outcomes. Chiu et al.2 investigated diabetes risk at differing BMI thresholds in White, South Asian, Chinese and Black adults. This study used a longitudinal design to predict incidence rates of diabetes at a BMI of 30 kg m−2 in White adults. Corresponding BMI values for other ethnic groups were then ascertained at this incidence rate, indicating that, in South Asian adults, the equivalent BMI threshold was 24 kg m−2. The effects of implementing differing BMI thresholds for specific groups are unclear.3, 10 Even so, the evidence that South Asian populations incur a higher risk of many cardiovascular outcomes at lower WHO BMI thresholds7 has led to the National Health Service Health Check programme in United Kingdom using a BMI of 27.5 kg m−2 as the trigger for preventive action among people of South Asian origin. Public health guidance to support such decision-making processes is currently being investigated by the National Institute for Health and Clinical Excellence; but this investigation does not include children or pregnant women from Black and minority ethnic groups.
Our findings show that if the new South Asian BMI threshold of 27.5 kg m−2 were used to identify early pregnancy obesity, it would result in substantial increases in the referral of women for intensive monitoring and advice across United Kingdom. We were unable to demonstrate that a lower BMI threshold would be more effective in identifying Pakistani women at increased risk of adverse perinatal outcomes. Indeed across most of the BMI range, associations were linear, with some evidence that risk of Caesarean section increased more steeply at a threshold of 36 kg m−2, but this was the same for both groups. Gestational diabetes increased more steeply at a threshold of 33 kg m−2 in women of Pakistani origin. Given the linear relationship up to this point, it may be more appropriate to suggest that policy makers should select a threshold that is appropriate in terms of funding and service provision, and consider the acceptability of labelling many women who are at low risk of certain adverse outcomes as ‘high risk’ (or conversely, not identifying all those who are truly at high risk). Further research is therefore required to examine the cost-effectiveness of using different thresholds of BMI to identify women at risk of adverse perinatal outcomes. Importantly, this work provides further argument towards the need to revisit BMI standard cut-offs, at least in the context of child and maternal health, given that current threshold of 30 kg m−2 is not fully evidence based. It is therefore recommended that the WHO sets up an expert consultation to address the question of the relationship between BMI and other measures of adiposity and a wide range of health outcomes, including pregnancy outcomes, as a matter of urgency. Although cardiovascular diseases and diabetes are important, findings from this field do not necessarily apply to other fields. This paper highlights that a more critical stance is required than hitherto.
Gray LJ, Yates T, Davies MJ, Brady E, Webb DR, Sattar N et al. Defining obesity cut-off points for migrant south asians. PLoS ONE 2011; 6: e26464.
Chiu M, Austin PC, Manuel DG, Shah BR, Tu JV . Deriving ethnic-specific bmi cutoff points for assessing diabetes risk. Diabetes Care 2011; 34: 1741–1748.
Misra A . Revisions of cutoffs of body mass index to define overweight and obesity are needed for the Asian-ethnic groups. Int J Obes Relat Metab Disord 2003; 27: 1294–1296.
Razak F, Anand SS, Shannon H, Vuksan V, Davis B, Jacobs R et al. Defining obesity cut points in a multiethnic population. Circulation 2007; 115: 2111–2118.
Misra A, Chowbey P, Makkar BM, Vikram NK, Wasir JS, Chadha D et al. Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for asian indians and recommendations for physical activity, medical and surgical management. J Assoc Physicians India 2009; 57: 163–170.
National Institute for Health and Clinical Excellence (NICE). Preventing type 2 diabetes: population and community level interventions in high risk groups and the general population, London, 2011.
WHO expert consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157–163.
Prospective Studies C. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet 2009; 373: 1083–1096.
Pierce BL, Kalra T, Argos M, Parvez F, Chen Y, Islam T et al. A prospective study of body mass index and mortality in Bangladesh. Int J Epidemiol 2010; 39: 1037–1045.
Stevens J . Ethnic-specific revisions of body mass index cutoffs to define overweight and obesity in Asians are not warranted. Int J Obes Relat Metab Disord 2003; 27: 1297–1299.
Pednekar MS, Hakama M, Hebert JR, Gupta PC . Association of body mass index with all-cause and cause-specific mortality: findings from a prospective cohort study in Mumbai (Bombay), India. Int J Epidemiol 2008; 37: 524–535.
Lawlor DA, Relton C, Sattar N, Nelson SM . Maternal adiposity-a determinant of perinatal and offspring outcomes? Nat Rev Endocrinol 2012; 8: 679–688.
(CMACE) CfMaCE. Maternal obesity in the UK: Findings from a national project, London 2010.
National Institute of health and Clinical Excellence (NICE). Weight management before, during and after pregnancy, 2010. Contract No.: PH27.
Raynor P, Born in Bradford Collaborative Group. Born in Bradford, a cohort study of babies born in Bradford, and their parents: protocol for the recruitment phase. BMC Public Health 2008; 8: 327.
Wright J, Small N, Raynor P, Tuffnell D, Bhopal R, Cameron N et al. Cohort profile: the Born in Bradford multi-ethnic family cohort study. Int J Epidemiol 2012; 4: 119–135.
Office for National Statistics. Ethnic Group Statistics: A Guide for the Collection and Classification of Ethnicity Data The Stationary Office; HMSO Licensing Division: London 2003.
Brindle P, Jonathan E, Lampe F, Walker M, Whincup P, Fahey T et al. Predictive accuracy of the Framingham coronary risk score in British men:prospective cohort study. BMJ 2003; 327: 1267.
Empana JP, Ducimetière P, Arveiler D, Ferrières J, Evans A, Ruidavets JB et al. Are the Framingham and PROCAM coronary heart disease risk functions applicable to different European populations?: The PRIME Study. Eur Heart J 2003; 24: 1903–1911.
May M, Lawlor DA, Brindle P, Patel R, Ebrahim S . Cardiovascular disease risk assessment in older women: can we improve on Framingham? British Women’s Heart and Health prospective cohort study. Heart 2006; 92: 1396–1401.
Vangen S, Stoltenberg C, Holan S, Moe N, Magnus P, Harris JR et al. Outcome of pregnancy among immigrant women with diabetes. Diabetes Care 2003; 26: 327–332.
We are grateful to all the families who took part in this study, midwives for their help in recruiting them, pediatricians and health visitors, and the BiB team, which included interviewers, data managers, laboratory staff, clerical workers, research scientists, volunteers and managers. This work was funded by an NIHR CLAHRC implementation grant and an NIHR applied programme grant (RP-PG-0407-10044). This paper presents independent research commissioned by the National Institute for Health Research (NIHR) under the CLAHRC programme. The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR or the Department of Health. No funding bodies had any role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
The authors declare no conflict of interest.
Supplementary Information accompanies this paper on International Journal of Obesity website
About this article
Russian Journal of Cardiology (2019)
Child mental health and resilience in the context of socioeconomic disadvantage: results from the Born in Bradford cohort study
European Child & Adolescent Psychiatry (2019)
The Journal of Clinical Hypertension (2019)
Risk factors and potential protective factors of pregnancy‐induced hypertension in China: A cross‐sectional study
The Journal of Clinical Hypertension (2019)
Obesity Reviews (2018)