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. 2018 Mar 13;8:62. doi: 10.1038/s41398-018-0110-1

Fat mass and obesity-associated (FTO) rs9939609 polymorphism modifies the relationship between body mass index and affective symptoms through the life course: a prospective birth cohort study

Shinsuke Koike 1,2,3,✉, Marcus Richards 1, Andrew Wong 1, Rebecca Hardy 1
PMCID: PMC5847566  PMID: 29531329

Abstract

Although bi-directional relationships between high body mass index (BMI) and affective symptoms have been found, no study has investigated the relationships across the life course. There has also been little exploration of whether the fat mass and obesity-associated (FTO) rs9939609 single-nucleotide polymorphism (SNP) is associated with affective symptoms and/or modifies the relationship between BMI and affective symptoms. In the MRC National Survey of Health and Development (NSHD), 4556 participants had at least one measure of BMI and affective symptoms between ages 11 and 60–64 years. A structural equation modelling framework was used with the BMI trajectory fitted as latent variables representing BMI at 11, and adolescent (11–20 years), early adulthood (20–36 years) and midlife (36–53 years) change in BMI. Higher levels of adolescent emotional problems were associated with greater increases in adult BMI and greater increases in early adulthood BMI were associated with higher subsequent levels of affective symptoms in women. The rs9939609 risk variant (A allele) from 2469 participants with DNA genotyping at age 53 years showed mostly protective effect modification of these relationship. Increases in adolescent and early adulthood BMI were generally not associated with, or were associated with lower levels, of affective symptoms in the FTO risk homozygote (AA) group, but positive associations were seen in the TT group. These results suggest bi-directional relationships between higher BMI and affective symptoms across the life course in women, and that the relationship could be ameliorated by rs9939609 risk variant.

Introduction

Obesity and affective symptoms are common conditions; the life-time prevalence of each is estimated to be greater than 20% in the general population in high-income and middle-income countries1,2. Both increase the risk of physical and psychiatric diseases such as cardiovascular diseases, cerebrovascular diseases, diabetes mellitus, and major depressive disorders1–4. In addition, among those who develop disease, obesity and depression are associated with poor prognosis and increased mortality2–4. Obesity and depression, however, exhibit different patterns across the life course. The prevalence of obesity increases with age until the seventh decade5, while the pattern is less clear for affective symptoms. A recent study showed increases during adolescence and decline thereafter6, with a gender difference in the prevalence of depression evident from the beginning of adolescence to late adulthood7.

A meta-analysis of longitudinal studies of adults showed that overweight and obesity at baseline were associated with an increased risk of depression at follow-up, and that depression at baseline was associated with subsequent higher risk of obesity, but not overweight8. Similar bi-directional associations between higher body mass index (BMI) and depressive symptoms have also been found9–12, especially in women9,10,12. Multiple possible explanations have been proposed for the relationship between higher body weight and depressive symptoms. Shared biological mechanisms such as immunological deficiencies, oxidative stress, neurotransmitter imbalance, and hypothalamic–pituitary–adrenal (HPA) imbalance are likely to play a role13–15. This is also likely to be the case for shared developmental and early life environmental risk factors such as low birth weight, perinatal complications, maternal depression, parental socioeconomic status, low childhood cognition, childhood trauma, and chronic stress;13,14,16 and shared later life risk symptoms such as insomnia and sleep apnoea15,17. Changes in health-related behaviour, such as decreased physical activity, disturbance of eating style, and also decreased self-esteem, are likewise common to both affective symptoms and obesity13,14. The relationship between BMI and affective symptoms may change through the life course and be dependent on age at onset of affective symptoms and sex12. We previously found that women with adolescent affective symptoms but no adults symptoms had lower BMI in adolescence but greater increases in BMI in adults12. Whereas men with adolescent symptoms which continued into adulthood had lower BMI in adolescence and across adulthood. However, no study has investigated the bi-directional relationship between BMI and affective symptoms across the life course.

Genetic studies have repeatedly reported the association between a common variant in the fat mass and obesity-associated (FTO) SNP rs9939609 and increased BMI18–21. In addition, a meta-analysis of randomized controlled trials suggested that those carrying the rs9939609 risk allele responded equally well to weight loss interventions as those without the risk allele21. Although the mechanism and function of FTO is not fully understood, possible functional alterations by the gene have been reported in the HPA axis and in the reward system in the brain22–24. Disturbances of these systems have also been reported in major depressive disorders, which could lead to several core symptoms such as aberrant emotional and reward responses4,13. A prospective cohort study showed an association between another FTO SNP rs1421085, which has a strong linkage disequilibrium with the SNP rs9939609, and self-reported depressive symptoms in men, independent of BMI25. A clinical case-control study showed an association between the SNP rs9939609 and BMI only for people with major depressive disorder while no association was observed among healthy controls26. This is supported by a recent meta-analysis suggesting that affective status modifies the association between the FTO genotype and obesity27. However, the association may not be seen in Asian populations28, and another case-control study including five different ethnicities provided evidence of a protective effect of the rs9939609 obesity-related allele on major depression independent of BMI29. There is no longitudinal study which has investigated whether associations between FTO and affective symptoms vary over the life course, or whether they may modify the relationship between BMI and affective symptoms.

The Medical Research Council National Survey of Health and Development (NSHD), also known as the 1946 British birth cohort, is one of the longest-running prospective cohort studies, which has repeatedly measured body height and weight throughout life, and obtained affective symptoms over a 40-year period. We previously reported that the relationship between affective symptoms and BMI may differ according to gender and the onset of affective symptoms12. We also showed the association between SNP rs9939609 and BMI strengthened during childhood up to the age of 20 and then weakened again during adulthood19. The present study aimed first to investigate the possible bi-directional relationship between BMI and affective symptoms through the life course from adolescence to early old age. We hypothesized that, consistent with previous studies, any positive bi-directional relationship between increase of BMI and higher affective symptoms would be seen especially in women. We then investigated whether the FTO variant rs9939609 modifies the relationship between BMI and affective symptoms. We hypothesized that the rs9939609 obesity-related A allele would strengthen any positive relationships in an additive model.

Methods

Participants

The NSHD is a birth cohort study, initially consisting of a social class-weighted sample of 5362 children drawn from all single births within marriage during 1 week in March 1946 in England, Scotland, and Wales30,31. Blood samples for DNA extraction were collected from 2756 members at age 53 years and genotyping were conducted for 2498 participants.

Of 5362 cohort members, 4556 participants had at least one measure of BMI between ages 11 and 53 years (median number of measurements per individual = 5, range = 1–7), and of affective symptoms at ages 13 and 15, 36, 43, 53, and 60–64 years (median = 3, range = 1–5); and are included in the initial analyses investigating the relationship between BMI and affective symptoms. Of these, 2469 participants also had the required information on BMI and affective symptoms and were included in the analysis assessing modification by the FTO gene. The participants included in the gene analysis were more likely to be female (p < .001), had higher birth weight (p = .012), higher overall cognitive score at age 8 years (p < .001), and a lower adolescent emotional problem score (p < .001) than those excluded.

The study was approved by Multi-Centre Research Ethics Committee for the survey at age 53 and by the Greater Manchester Local Research Ethics Committee and the Scotland Research Ethics Committee for the survey at age 60–64, and written informed consent was given by cohort participants.

Measures

Body mass index

Heights and weights were measured by school doctors at ages 11 and 15 years and by trained nurses using standardized protocols at ages 36, 43, and 53 years, and by self-reports at ages 20 and 26 years. BMI was calculated at each age using the standard weight (kg)/height (m)2 formula.

Affective symptoms

Adolescent behavioural problems were rated at age 13 and 15 years by teachers using forerunners of the Rutter A scale32,33. These ratings have been classified into three behavioural dimensions reflecting emotional (internalizing) problems (e.g., extremely fearful); conduct (externalizing) problems (e.g., a quarrelsome and aggressive child); and lack of self-control (e.g., a poor worker or lazy)34. An emotional problem score was calculated from the standardized sum of the relevant factor scores at both ages. Affective symptoms at age 36 years were assessed using a short version of the Present State Examination (PSE), a clinically validated interview administrated by trained nurses35. We used the index of definition scale score (range 1―7)35. At age 43 years, the Psychiatric Symptom Frequency (PSF) scale was obtained with an 18-item self-reported questionnaire (range 0–90)36. At ages 53 and 60–64 years, the 28-item version of the General Health Questionnaire (GHQ-28) was adopted for self-reported depression and anxiety37. Each item was scored using a 4-level Likert scale, and was recoded into 0-0-1-1. Therefore, the score ranged from 0 to 28. Given the variation in assessment of affective symptoms, we used the continuous variables in analyses.

Genotyping

DNA was extracted and purified from whole blood using the Puregene DNA Isolation Kit (Flowgen, Leicestershire, UK), according to the manufacturer’s protocol. The rs9939609 and rs1421085 SNPs were typed by Source Bioscience PLC using the Applied Biosystems (Foster City, CA, USA) SNPlex technology which is based on an Oligonucleotide Ligation Assay combined with multiplex PCR amplification and capillary electrophoresis. Genotyping was performed using an ABI 3730xl DNA Analyser and ABI GeneMapper v4.0 software. The integrity of the genotyping was checked by genotypeing frequency, concordance between duplicates and Hardy–Weinberg equilibrium (HWE). The call rate was 99.5% with >95% concordance between duplicate samples and there was no evidence of deviation from HWE (p > .05). Since the SNP rs1421085 and rs9939609 were in the strong linkage disequilibrium (r2 = 0.89), our primary analysis focused on the rs9939609 polymorphism.

Statistical analysis

Our previous studies have indicated sex differences in the trajectory of both BMI19,38 and affective symptoms39, and the relationship between them12,40. Therefore, the analysis was stratified by sex if a following structural equation modelling (SEM) showed significant sex differences in BMI and affective symptoms, and interactions in the correlations between BMI and affective symptoms. First, a linear growth model was fitted to the BMI trajectory using four latent variables (intercept at age 11 years and changes from age 11–20 (adolescent), 20–36 (early adulthood), and 36–53 (midlife) years) within a SEM framework. Then we added the adolescent emotional problem score, allowing it to be correlated with the intercept of the BMI trajectory and with all latent variables representing BMI change; and the PSE score at 36 and PSF score at 43, allowing each to be correlated with BMI change from 36–53 (Fig. 1a). Each BMI variable was also related to all subsequent affective symptoms. Relationships between affective symptoms at all ages were assumed. Therefore, each relationship between BMI and affective symptom was tested considering previous measurement results of BMI and affective symptoms. Although BMI at age 60–64 years were available, previous analyses showed a reduction in the rate of BMI increase between age 53 and 60–64 years compared to between age 36 and 53 years38. Therefore, to maintain a good statistical fit in a linear growth model with four latent variables, BMI at age 60–64 years was not included in the model. The estimation of the model was conducted using robust maximum likelihood estimation, and missing values were handled using full information maximum likelihood (FIML).

Fig. 1. Structural equation modelling for the relationship between BMI and affective symptoms.

Fig. 1

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a The correlation and causal relationship between BMI and affective symptoms were set in accordance with time series. b In the genetic modification model, the genetic association with four latent BMI variables and five observational depression variables, and 20 gene interactions to the relationships between BMI and affective symptoms, were added

To test genetic modification of the associations between BMI and affective symptoms, the same model was fitted to the subsample with available genetic data and the FTO genotype was related to each of the four latent variables for BMI and the five observed affective symptoms variables, and the 20 gene by phenotype interactions were added (Fig. 1b). The rs9939609 A allele was considered a high risk for higher BMI and affective symptoms in an additive genetic model. Where there was evidence of effect modification, multiple-group analysis fitting the initial SEM model (Fig. 1a) was conducted to estimate the correlations between BMI and affective symptoms within each genotype group.

Statistical significance was set at p < .05. Good model fit was set at comparative fit index (CFI) >.90 and root mean square error of approximation (RMSEA) <.10. SEM was performed using the “lavaan” package version 0.5-16 in R version 3.1.141,42.

Results

Male participants had higher BMI compared to female at ages 11–43 years, and fewer affective symptoms at all ages (Table 1). Male participants were also more likely to have TA and less likely to have TT genotypes than female.

Table 1.

Characteristics of the analytic sample from the MRC NSHD

Male Female p-valueb
n Mean (SD) n Mean (SD)
BMI (kg/m2)
11 years 2050 17.3 (2.1) 1887 17.5 (2.6) 0.006
15 years 1881 19.6 (2.4) 1700 20.6 (3.0) <.001
20 years 1829 22.6 (2.5) 1735 21.8 (2.9) <.001
26 years 1822 23.4 (2.8) 1782 22.4 (3.2) <.001
36 years 1632 24.8 (3.2) 1648 23.6 (4.1) <.001
43 years 1617 25.7 (3.5) 1608 25.2 (4.8) <.001
53 years 1452 27.4 (4.0) 1496 27.4 (5.5) 0.81
Depressive symptoms
Adolescent emotional problemsa 2044 −0.09 (0.96) 1883 0.10 (1.03) <.001
PSE score at age 36 years 1640 1.7 (1.1) 1653 2.2 (1.3) <.001
PSF score at age 43 years 1600 9.6 (10.0) 1585 12.6 (11.8) <.001
GHQ score at age 53 years 1423 1.9 (3.9) 1479 3.2 (4.9) <.001
GHQ score at age 60–64 years 1048 1.7 (3.1) 1137 2.8 (4.9) <.001
FTO rs9939609 genotype, TT/TA/AA [%] 1238 414/619/205 [33.4/50.0/16.6] 1233 460/534/239 [37.3/43.3/19.4] .004c
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BMI body mass index, PSE a short version of the Present State Examination, PSF the Psychiatric Symptom Frequency scale, GHQ the 28-item version of the General Health Questionnaire, FTO fat mass and obesity-associated gene

a Z scores from teacher-rated measures at age 13 and 15 years

b Gender differences were tested using t-tests, except for the genotype where chi-square tests were used

c Residual analysis showed that male participants were less likely to have TT and more TA genotypes than female participants

Association between BMI and affective symptoms through the life course

The initial SEM model for all participants had a good fit (n = 4556, CFI = .919, RMSEA = .049). The model had the main effects of sex on BMI and affective symptoms, as well as sex interactions on the relationship between BMI and affective symptoms (Supplementary Fig. s1). Thus, further analyses were stratified by sex.

The SEM model specified in Fig. 1a had good fit in males (n = 2357, CFI = .969, RMSEA = .051) and females (n = 2199, CFI = .920, RMSEA = .085). Figure 2 displays the significant correlations. In males, there was a negative correlation between BMI at age 11 years and adolescent emotional problems, but no other associations between BMI and affective symptoms were significant at the 5% level (Fig. 2a). In females, adolescent emotional symptoms were positively associated with increases in BMI from ages 20 to 36, and from ages 36 to 53 (Fig. 2b). In turn, increases in BMI from ages 20 to 36 were positively associated with GHQ depression and anxiety scores at age 53.

Fig. 2. The relationship between BMI and affective symptoms through the life course.

Fig. 2

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Analysis was stratified by sex. Only significant relationships are displayed (*p < .05, **p < .01, ***p < .001)

Genetic modification of the relationship between BMI and affective symptoms

The genetic modification model specified in Fig. 1b had good fit in males (n = 1236, CFI = .939, RMSEA = .043) and females (n = 1233, CFI = .934, RMSEA = .045). Figure 3 displays the significant correlations. In both sexes, the rs9939609 A allele was associated with higher BMI at age 11 years, but not with subsequent rates of change (Fig. 3).

Fig. 3. Gene association with BMI and affective symptoms.

Fig. 3

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Analysis was stratified by sex. Only significant relationships are displayed (*p < .05, **p < .01, ***p < .001). Significant gene interaction was shown in red, and a letter on the line indicates that further analysis of the relationship is presented in Fig. 4. The dashed lines represent a non-significant relationship which are modified by the gene

There were significant genetic interactions for both sexes; one in men and five in women (Fig. 3). In men, the negative correlation between greater BMI change between ages 20–36 and lower subsequent affective symptoms (at age 36) was stronger in the AA group than in the TA and TT groups (Fig. 4a). Among women, there was a positive relationship between BMI at 11 and GHQ score at 60–64 in the TT and TA groups but a negative association in the AA group (Fig. 4b). There was a strong negative association between BMI change between 20–36 and affective symptoms (at age 43) in the AA group but a positive association in the TT group (Fig. 4c). A similar positive association was observed between change in BMI over the same period and affective symptoms at 53 for the TT group, but there were null associations in the TA and AA groups (Fig. 4d). Similarly, greater changes in midlife BMI were associated with lower levels of symptoms at 53 in the TT group only (Fig. 4e). Finally, there was one suggestion of effect modification of an association from affective symptoms to BMI. The TT group showed a positive association between emotional problems in adolescence and greater change in BMI from 20–36 which was not observed in other genotype groups (Fig. 4f). The coefficients for the saturated models including all interactions with the FTO genotype are shown in Supplementary Tables S1–2.

Fig. 4. Association between BMI and affective symptoms by FTO rs9939609 genotype.

Fig. 4

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The results of multiple-group analysis for the initial SEM model (Fig. 1a) by FTO rs9939609 genotype are illustrated using equal loadings, means, residuals, and intercepts for the non-significant effect of genetic modification. In Fig. 4b, the line of TT had an almost overlap with that of TA

The results for the SNP rs1421085 are provided in Supplementary Materials and Fig. S2. The results are largely similar except for the gene modification of the association between BMI change between 20–36 and affective symptoms at age 36 but not at age 43 in women.

Discussion

In a representative general population prospective cohort study we found that adolescent but not adult emotional problems were associated with BMI and that the relationships were different for men and women. A higher emotional problem score was associated with lower BMI at age 11 in men, while a higher emotional score was associated with greater midlife increases in BMI in women. In turn, greater midlife increases in BMI were associated with higher levels of affective symptoms at age 53 years in women. There was evidence that FTO rs9939609 modified these associations, particularly in women. In women greater increases in early adult BMI tended to be associated with lower levels of affective symptoms in the TT group (those with lower risk of overweight), whereas there were null or positive associations in the TA and AA groups, contrary to our hypothesis.

Strengths of this study include the use of a national population-based sample with repeated objective measurement of body height and weight, and well-validated assessment of affective symptoms through the life course. This means that we were able to assess the bi-directional relationship between BMI and affective symptoms across a 50-year period. To our knowledge, this is also the first study to report evidence of an effect modification of these associations by the FTO risk gene. The use of SEM and FIML meant that we were able to include a large sample size in the initial analysis investigating relationships between BMI and affective symptoms.

Several limitations should be considered. First, although the analytic approach used maximized the sample size, the disproportionate loss to follow-up of those of lower birthweight and from a less socially advantaged background may have affected the findings. However, in this cohort, higher birthweight is only weakly correlated with higher BMI in adulthood43 and lower birth weight is associated with adolescence but not adulthood affective symptoms44 and is therefore unlikely to have influences the findings to a great extent45. BMI is socially patterned according to both childhood and adult social class. Further, socioeconomic position and socially patterned health behaviours such as smoking and physical activity have been found to modify the association of genes with BMI, with the influence of genes being stronger in those from less advantaged groups and those with unhealthy behaviours46,47. Hence, the differential loss of those from a more disadvantaged background who are likely to have higher BMI and more unhealthy behaviours may have led to an underestimate of associations in our study. More importantly, DNA was collected for the first time at age 53 years when 2989 participants were interviewed and hence the sample for the analyses including the FTO gene was reduced. In particular, the participants included in the genotype analysis had less adolescent emotional problems than those excluded, which may have resulted in a loss of statistical power in analyses. The higher cognitive capacity in those maintained in the analytic sample may also decrease the power to detect the relationship of interest since low childhood cognition is a risk factor for affective symptoms as well as increased body weight. In addition, some of those excluded have died from obesity-related diseases such as coronary heart disease. Therefore, we cannot rule out the possibility that the estimated relationships may be biased, but the missing data may mean that associations are underestimated. However, at age 53, the sample remained broadly representative of the general source population in Britain48 and there was little difference between the estimated coefficients from the initial SEM model on the maximum sample and the model on the sample with genotype information. Second, since the effect of the rs9939609 polymorphism on major depressive disorder has been found to vary by ethnicity28,29, the results may be different in samples containing other ethnic groups. However, the results from a large sample study including five different ethnicities were similar to our findings28,29. Third, although the scales used to measure affective symptoms at each age were well validated, the difference in scales used could influence the relative strengths of the relationships observed. Finally, we acknowledge that there may be alternative models to the theoretical model that we tested. For example, it may be that concurrent changes in symptoms, rather than prior symptoms, are associated with changes in BMI.

The present study found bi-directional associations between BMI and affective symptoms in females but not males. This reinforced the findings of large cross-sectional studies showing the relationship to be stronger in women than in men49–51. Previous longitudinal studies have shown that depressive episodes in adolescent girls were associated with obesity in adulthood10,52. One reason for these relationships being observed only in women may be because depressive symptoms are more associated with decreased physical activity and eating style disturbance in women than in men52, which are also risk factors for obesity. Second, body image dissatisfaction, which is associated with affective symptoms, is more common in women than men53–55. A longitudinal study of the effect of weight-loss surgery showed that weight loss improved affective symptoms, in young women particularly56. Third, the experience of pregnancy and childbirth may influence this association. Adolescent depressive symptoms raise the risk for postpartum depression57, and are associated with weight retention after childbirth;58,59 and higher parity was associated with higher BMI at age 53 years in NSHD60. Finally, emotional stress responses and related hormone secretion in the HPA axis are greater in females7,53,61, which can influence weight increase. In addition, gonadal hormones influence both mood and body weight7,53.

The present study showed that the FTO rs9939609 risk variant exerted mostly protective effects in relation to affective symptoms for those with greater increases in BMI. Although the mechanism underlying these findings remains unknown, and these findings need to be replicated in view of the multiple interactions tested, one possible explanation may be that adult BMI is partially determined by differences in physical development in adolescence and young adulthood leading to differences in body composition. The FTO gene is associated with skeletal muscle as well as subcutaneous adipose tissue62, and FTO deletion leads to a severe loss of muscle mass in humans and mice18. FTO mRNA expression is abundant in skeletal muscle in young adults compared to older people62. In addition, FTO polymorphisms can modify the secretion of growth hormone63 and testosterone64, which are essential hormones for physical development and muscle growth. Thus, the FTO genotype-related increase in BMI in adolescence and young adulthood would be essential for physical development, which could lead to or result from better psychological health. Second, the rs9939609 A allele is protective of child emotional problems and attention deficits and hyperactivity disorder symptoms65, which is thought to be due to an altered reward response in dopaminergic neuron in the prefrontal cortex66. Conversely, the mouse knock-out FTO gene within the midbrain dopaminergic system showed hyperactivity and aberrant sensitivity to dopamine stimulants23. Modification of the dopaminergic response in the prefrontal cortex by rs9939609 A carriers may be protective against the detrimental effect of increases in BMI on emergence of affective symptoms. Third, changes in BMI and affective symptoms for individuals with the protective allele could be more influenced by environmental factors such as health behaviours, while changes in those with the risk allele may be more influenced by genetic effect on their BMI. Thus unhealthy behaviours related to affective symptoms such as emotional eating and physical inactivity may be more influential in determining BMI among those with the protective allele. Previous studies have demonstrated modification of the association between genotype and BMI by health-related behaviours such as diet and physical activity20. There may be therefore more complex interactions between BMI change and health-related behaviours related to the risk gene and affective symptoms.

Our results showed that BMI and affective symptoms exhibit bi-directional positive relationships across the life course in women only. The FTO rs9939609 risk variant may be protective against affective symptoms in men, and particularly in women, who experience high increases BMI in adolescent and early adulthood. We have carried out multiple tests for effect modification of associations between BMI and affective symptoms by the FTO gene with inconsistent findings between men and women and between ages. The results should therefore be interpreted with some caution as they could be chance findings and require replication in other cohorts. The long-term effect might be caused by physical and psychological growth, along with the potential biological backgrounds such as hormonal and dopaminergic neuron system, rapidly occur during adolescence. Studies combining epidemiological investigation with biological measurement including gene polymorphism, muscle composition, and hormone concentration may be able to disentangle the complex relationship between BMI and affective symptoms and the FTO genotype according to age and gender.

Electronic supplementary material

Supplementary materials (13.6KB, docx)
Supplementary figure S1 (171.9KB, pdf)
Supplementary figure S2 (234.9KB, tif)
Supplementary Tables (33.7KB, docx)

Acknowledgements

S.K. was supported by the grants from MEXT KAKENHI Grant Number 17H05921 and JSPS Strategic Young Researcher Overseas Visits Program for Accelerating Brain Circulation. A.W., R.H., and M.R. are funded by the UK Medical Research Council (Unit Programme numbers MC UU 12019/1; MC UU 12019/2; and MC UU 12019/4, respectively). The authors are grateful to NSHD study members for their continuing support. Data used in this publication are available upon request to the MRC National Survey of Health and Development Data Sharing Committee. Further details can be found at http://www.nshd.mrc.ac.uk/data. 10.5522/NSHD/Q101; 10.5522/NSHD/Q102.

Conflict of interest

The authors declare that they have no conflict of interest.

Footnotes

Electronic supplementary material

Supplementary Information accompanies this paper at (10.1038/s41398-018-0110-1).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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