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Four papers appear in the print BMJ this week in abridged form. The full and abridged versions are both available here on our website. The editorial by Delamothe et al explains why we are doing this, and we welcome readers' reactions. The paper by Whitehead (p. 908) appears in two abridged versions, one much shorter than the other; again we welcome readers' reactions on which they prefer, and why.
Sheila Williams a University of Otago, Box 913, Dunedin, New
Zealand, b Department of Preventive and Social Medicine
Correspondence to: Ms Williams
sheila.williams{at}stonebow.otago.ac.nz
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Abstract |
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Objective:
To assess the direct and indirect effects of being a twin, maternal smoking, birth weight, and mother's height
on blood pressure at ages 9 and 18 years.
Design:
Longitudinal study.
Subjects:
Cohort born in 1972-3.
Setting:
Dunedin, New Zealand.
Main outcome measure:
Blood pressure at ages 9 and 18 years.
Results:
Compared with singletons, twins had a
systolic blood pressure 4.55 (95% confidence interval 1.57 to 7.52) mm Hg lower at age 9 after adjustment for direct and indirect effects of
sex, maternal smoking, mother's height, socioeconomic status, and
birth weight, as well as concurrent height and body mass index. Blood
pressure in children whose mothers had smoked during pregnancy was 1.54 (0.46 to 2.62) mm Hg higher than in those whose mothers did not. The
total effect of birth weight on systolic blood pressure at age 9 was
0.78 (
1.76 to 0.20) mm Hg and that for mother's height was 0.10 (0.06 to 0.14) mm Hg. Similar results were obtained for systolic blood
pressure at age 18. The total effect of twins, maternal smoking, and
birth weight on diastolic blood pressure was not significant at either age.
Conclusions:
Twins had lower birth weight and lower
systolic blood pressure at ages 9 and 18 than singletons. This finding challenges the fetal origins hypothesis. The effect of maternal smoking
was consistent with the fetal origin hypothesis in that the infants of
smokers were smaller and had higher blood pressure at both ages. This
may be explained by pharmacological rather than nutritional effects.
The total effect of birth weight on systolic blood pressure, after its
indirect effect working through concurrent measures of height and body
mass index was taken into account, was small.
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Key message
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Introduction |
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Studies reporting an inverse association between birth weight and blood pressure in both children and adults have led to the hypothesis that events occurring before birth may lead to cardiovascular disease in later life. 1 2 It is argued that this is the consequence of the mother's poor nutrition in pregnancy. Although not all findings confirm this hypothesis,3-5 support comes from several studies of people born in the 1920s and 1930s and from children born more recently. The evidence, as a BMJ editorial puts it, is an inductionist's dream; example being piled on example, with each study being somewhat consistent with others but none seriously testing the hypothesis.6 This editorial suggests ordeals or tests to which the hypothesis might be put, including the effect of being a twin, a group known to experience restricted growth in the third trimester of pregnancy; smoking by the mother, which is a key determinant of birth weight and smoking in the offspring; and social class both at the time of birth and in the mother's family.
This sample from New Zealand provided an opportunity to re-examine the
association between birth weight and later blood pressure. Information
was available on mothers' height, which can be regarded as a measure
of the socioeconomic climate of their childhood as well as the
socioeconomic climate prevailing at the time of the children's birth.
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Methods |
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The sample consisted of children enrolled in the Dunedin multidisciplinary health and development study. This cohort was born at Dunedin's only obstetric hospital between 1 April 1972 and 31 March 1973. Their mothers were resident in the Dunedin metropolitan area at the time of the children's birth.
The sample was traced at the time of the children's third birthdays, and consent was given for 1037 of the 1139 still living in Dunedin or Otago to take part. The sample was seen at intervals of 2 years between ages 3 and 15 and again at ages 18 and 21.7 The present study uses data collected at age 9, when 818 children attended the research unit for physical measurements and their mothers were asked about smoking in pregnancy, and at age 18, when 879 attended the unit for a full day's assessment.
In each phase of the study, the same instruments were used for all participants. Blood pressure was measured using a London School of Hygiene blind mercury sphygmomanometer. Systolic blood pressure was taken as the first Korotkoff sound and diastolic as the fourth. Blood pressure was based on the mean of three measures at age 9 and two at age 18 taken in the recumbent position. Stature was measured to the nearest millimetre with a portable Harpenden stadiometer. Weight was recorded to the nearest 0.1 kg with a Lindell beam balance, the participants being weighed in light clothing. Body mass index was calculated as weight/height2 with units kg/m2. The measurement of blood pressure was one of a number of different assessments undertaken by the participants and was not always completed because of time constraints.
This cohort was part of a larger study in which details of both antenatal and perinatal events were recorded for babies born at Queen Mary Hospital for a period from 1967 to 1973.8 Birth weight and mother's height were derived from this. Socioeconomic status for the infants' fathers was recorded, using the Elley-Irving index of socioeconomic status9; children whose fathers had occupations in the semiskilled and unskilled categories (5 and 6) were defined as low socioeconomic status, and children of mothers who were unmarried were assigned to another category. Where data were missing for socioeconomic status the mother's socioeconomic status recorded at the birth or socioeconomic status collected at age 3 was substituted.
As part of the assessment at age 9 the mothers of the children were asked whether or not they had smoked in pregnancy and were classified as smokers or non-smokers. Mother's height was recorded at assessment at age 11, and this was used if mother's height had not been recorded at the time of the child's birth.
Path analysis was used to examine the effect of maternal smoking,
mother's height, and being a twin on birth weight as well as their
effect on later height, body mass index, and blood pressure. The models
were fitted with LISREL using maximum likelihood
methods.10 In the analysis, the temporal nature of the
variables was used to examine the causal relations among them. As the
mother's height was established and maternal smoking occurred before
the baby was born, these variables were regarded as being causally
related to birth weight. Birth weight was considered to be causally
related to measures taken at ages 9 and 18 years. Although height, body mass index, and blood pressure were collected simultaneously, a causal
relation between both body mass index and height and blood pressure was
tenable. This mediates the direct and indirect effects of birth weight
and other variables on blood pressure.
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Results |
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Systolic blood pressure was recorded for 811 children at age 9 but the analysis was restricted to 419 boys and 376 girls because data for some of the other variables were missing (see below). The means and standard deviations for systolic blood pressure, height, body mass index, birth weight, and mother's height are shown in table 1. The sample included 22 (2.8%) twins and 261 (32.8%) children whose mothers reported smoking in pregnancy. Information on whether or not the mothers smoked was not available for 40 (5.0%) children. The sample also included 177 (22.3%) children in the low socioeconomic status category and 36 (4.5%) whose mothers were unmarried at the time of their conception. Height and weight at age 9 were missing for five children, mother's height for two, and socioeconomic status for nine. The mean birth weight for the 242 children not included in this study was 3.35 (SD 0.50) kg compared with 3.38 (0.53) kg for those included. The mean of the mothers' heights was 163.0 (6.58) cm for children who were excluded and 162.9 (5.84) cm for those included. Of those excluded 125 (51.7%) were boys, 4 (1.6%) were twins, 53 (21.9%) were categorised as of low socioeconomic status, and 6 (2.5%) had single mothers.
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Box and whisker plots for systolic blood pressure and birth weight for single and twin births, and for children whose mothers were and were not smokers, are shown in figure 1. These indicate that on average twins had both lower blood pressure at age 9 and lower birth weights than singleton children (difference 5.09 (95% confidence interval 2.03 to 8.16) mm Hg for blood pressure and 0.88 (0.66 to 1.09) kg for birth weight). The children of mothers who smoked in pregnancy had higher blood pressure (difference 1.41 (0.32 to 2.50) mm Hg) and lower birth weights (difference 0.11 (0.03 to 0.19) kg) than those whose mothers did not smoke.
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Regressing systolic blood pressure on birth weight in the total
population of births showed an inverse relation: a difference of 1 kg
in birth weight was commensurate with a decrease in blood pressure of
0.26 (0.70 to 1.21) mm Hg. Mother's height was positively related,
with a difference of 1 cm being commensurate with a difference of 0.07 (
0.02 to 0.15) mm Hg. The results of regressing systolic blood
pressure at age 9 on all the variables simultaneously is shown in table
2. These are the direct effects of each variable on blood pressure.
Being a twin, maternal smoking, the concurrent measures of body mass
index and height, as well as birth weight, were all significantly
associated with blood pressure. Birth weight was inversely associated
with blood pressure, commensurate with a decrease of 1.93 (0.96, 2.89)
mm Hg for each kg increase in birth weight. This analysis, however,
does not take into account the indirect effects of a number of these
variables on blood pressure.
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Path analysis was used to estimate both the indirect and the total
effects of the measures related to birth weight as well as birth weight
itself on the height, body mass index, and blood pressure at age 9 (table 2). As the path model estimated a large number of effects, in
the interests of parsimony the direct effects which were not
statistically significant were removed. The final model provided a good
fit for the data (
2=14.07, df=11, P=0.23) The key
features of the model are illustrated in figure 2, which shows the
standardised regression coefficients. Being male, being a twin, and
mother's height were strong predictors of birth weight and later
height. Maternal smoking was related to birth weight and later body
mass index. In this model the total effect of birth weight on systolic
blood pressure included the direct effect,
0.134; the indirect
effect acting through height, 0.163×0.247; and the indirect effect
acting through body mass index, 0.179×0.207; leading to total of
0.057. Thus an increase of one standard deviation in birth weight
was associated with a reduction of 0.057 of a standard deviation of
systolic blood pressure, which is equivalent to a 1 kg increase in
birth weight, being commensurate with a decrease of 0.78 (
0.20 to
1.76) mm Hg in blood pressure. The direct effect, and indirect effects operating through birth weight and height, produce a total effect for
being a twin of
4.55 (
7.52 to
1.57) mm Hg. The total effect for maternal smoking was 1.54 (0.46 to 2.62) mm Hg, and that for mother's height 0.10 (0.06 to 0.14) mm Hg. The correlation between height and body mass index at age 9 was 0.14. The total effects for the
full model are shown in table 2.
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We then restricted the analysis for systolic blood pressure at age 9 to
the 755 children whose gestational age was believed to be 37 weeks or
more. This group included 94 children of unknown gestational age whose
mean birth weight was 3.4 (0.46) kg. Nine children whose gestational
age was unknown and who were of low birth weight were excluded. The
findings were essentially the same as for the entire sample. The total
effect on blood pressure was
0.49 (
1.62 to 0.64) mm Hg for birth
weight,
4.26 (
7.75 to
0.77) mm Hg for being a twin, 1.61 (0.50 to 2.73) mm Hg for maternal smoking, and 0.11 (0.07 to 0.14) mm Hg for
mother's height (table 3).
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When the model presented in figure 2 was fitted to the data for
diastolic blood pressure at age 9 (table 1) the total effect of birth
weight on blood pressure was
0.10 (
1.04 to 0.84) mm Hg, that for
being a twin was
1.74 (
4.57 to 1.08) mm Hg, that for maternal
smoking was 0.54 (
0.49 to 1.57) mm Hg, and the effect for the
mother's height was 0.03 (
0.01 to 0.05) mm Hg.
The analysis was repeated using blood pressure measures obtained at age
18. Systolic blood pressure was available for 851 people at this age.
Means and standard deviations for blood pressure and the other
variables included in the analysis are shown in table 1. Observations
were available for 21 (2.5%) twins, 237 (27.8%) participants whose
mothers smoked, and 189 (22.2%) whose families were of low
socioeconomic status. The model shown in figure 2 was modified by
including a direct path from sex to systolic blood pressure, and the
path from maternal smoking to current body mass index was excluded
because these results were not significant. The total effects on blood
pressure were similar to those observed at age 9. They were
1.17
(
2.41 to 0.06) mm Hg for birth weight,
4.18 (
8.12 to
0.24)
mm Hg for twins, 1.95 (0.54 to 3.36) mm Hg for maternal smoking, and
0.11 (0.06 to 0.16) mm Hg for mother's height.
Fitting the model for diastolic blood pressure at age 18 led to the
following estimates: birth weight 1.03 (0.31 to 2.38) mm Hg, twins 1.19 (
3.10 to 5.49), maternal smoking 1.15 (
0.42 to 2.72), and
maternal height 0.05 (0 to 0.11).
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Discussion |
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The significant inverse association between birth weight and systolic blood pressure after adjustment for current height and body mass index at ages 9 and 18 is consistent with the results of a number of studies in both adults and children, several of which are summarised by Barker.2 Our results are not altogether consistent with a more recent study of 8-11 year old children, which found that this association held for girls but not boys,11 nor with a study of 18 year olds in Israel, which found a weak association.3 It has been argued that body mass index is an intervening variable in the relation between birth weight and blood pressure and that to adjust for it in a regression model is to overcontrol for it.6 Thus, and because birth weight was not by itself significantly associated with blood pressure in this sample, its importance in the model may be by virtue of its association with other variables.
Statistical considerations
The direct effects in the path analysis were the same as those
obtained from multiple regression, so that the measurement for birth
weight provided an estimate of its effect on blood pressure after the
effects of other variables were taken into account. Adjusting for
confounding in this way assumes that none of the variables included in
the model are at an intermediate step in the causal pathway. Path
analysis, unlike multiple regression analysis, allows for the inclusion
in the model of variables such as current height and body mass index
which are in the causal pathway. Hence the total effect of birth weight
on blood pressure can be estimated from the direct and the indirect
effects. The results of this study showed that birth weight was
strongly associated with later height and body mass index, which were
in turn strongly associated with blood pressure. This resulted in a
significant positive indirect effect and, combined with the inverse
direct effect, provided an estimate of the total effect.
Ordeals for the fetal origins hypothesis
The most interesting finding of this study was the lower systolic
blood pressure of twins. The magnitude of this effect was similar
whether or not adjustments were made for birth weight or concurrent
height or body mass index. Further, this finding was significant when
the analysis was restricted to full term infants at age 9 and when the
whole sample was examined at age 18. This finding is not consistent
with the fetal origins hypothesis, which argues that poor nutrition in
pregnancy leads to higher rather than lower blood pressure. A recent
Danish study showed that twins do not have significantly different
mortality from cardiovascular disease than the general population, even though they experience intrauterine growth delay.12 The
authors concluded that the fetal origins hypothesis did not apply to
the growth retardation experienced by twins. Other studies have found that variables plausibly reflecting poor maternal nutrition, including low maternal body mass index before pregnancy, poor maternal weight gain in pregnancy, and being born small for gestational age, were not
associated with higher blood pressure.13
Conclusions
The fetal origins hypothesis has been subjected to as tough an
ordeal as the data permit. The crucial tests were the effects of being
a twin and maternal smoking on the relation with systolic blood
pressure. That twins had lower blood pressure at age 9 and 18 challenges the underlying premise of the fetal origin hypothesis. On
the other hand, smoking affects both birth weight and blood pressure
itself and the associations were consistent with the fetal origins
hypothesis provided that its action is explained by poor nutrition.
Taken in total, mother's height had a positive effect on blood
pressure, suggesting that taller women had larger babies, taller
children, and children with higher blood pressure. When the indirect
effect of birth weight on current height and body mass index was taken
into account, it seems that the direct effect of birth weight on later
blood pressure may be overestimated.
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Acknowledgments |
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We thank Professor Jim Mann, with whom this paper was discussed, and acknowledge the support of Dr Phil Silva, of those who collected the data, and of the participants who have so willingly taken part in this longitudinal study.
Contributors: SW conceived the idea for this study and carried out the statistical analysis for this study. The paper was written jointly by SW (guarantor) and RP.
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Footnotes |
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Funding: The Dunedin Multidisciplinary Health and Development Research Unit and the authors are supported by the Health Research Council of New Zealand. The New Zealand National Heart Foundation provided support for the blood pressure studies
Competing interests: None declared.
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References |
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(Accepted 9 November 1998)
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