(Hypertension. 2000;36:795.)
© 2000 American Heart Association, Inc.
Scientific Contributions |
From the Department of Pediatrics (Y.B.C., L.L., J.K.) and the Clinical Trials Centre (Y.B.C., J.K.), University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong SAR, PR China; and MRC Environmental Epidemiology Unit (C.O., D.B.), Southampton General Hospital, Southampton, UK.
Correspondence to Prof Johan Karlberg, Department of Paediatrics, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong SAR, PR China. E-mail jpekarl{at}hkucc.hku.hk
| Abstract |
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Key Words: growth and development body height postnatal growth thinness blood pressure Hong Kong
| Introduction |
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Thinness (wasting) and shortness (stunting) at birth is usually seen as representing nutritional problems during different stages of gestation. A framework proposed by Barker15 is that thinness and shortness at birth could lead to interference in insulin and growth hormone sensitivity, respectively, in later life. Insulin resistance syndrome, which is characterized by hypertension, elevated plasma triglyceride level, and diabetes, is more specifically related to thinness than weight at birth.2 It was proposed that babies short at birth might have persisting growth hormone deficiency or growth hormone resistance.16 As such, it is desirable to differentiate the two phenomena in an empirical study. Weight is a crude measure of nutritional status that cannot differentiate between thinness and shortness.11 17
This article presents findings from a longitudinal study of 122 subjects born in Hong Kong in 1967. We investigated the associations between thinness and length at birth, changes in thinness and length between birth and 6 months of age and between 6 months and 18 months of age, and blood pressure at age 30 years. Although Hong Kong is an affluent society now, it was an overcrowded city with poor living and hygiene environment in the 1960s.18 Incidence of ill health and growth impairment in children was high.19 This background is similar to the rapid industrialization and urbanization taking place in less developed countries. The present study offers opportunities for investigating the long-term consequence of insults not only in fetal life but also during early childhood. The specific objectives were (1) to confirm the impact of length and thinness at birth on adult blood pressure and (2) to test the effects of (a) the changes in length and thinness from birth to 6 months of age and (b) the changes in length and thinness from 6 to 18 months of age on adult blood pressure.
| Methods |
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Variables
Weight and length at birth, and weight and length within a
2-month interval from age 6 months and 18 months were taken for the
construction of independent variables. We converted each
measurement for weight and length at or close to 6 months and 18 months
to a gender- and age-specific standard deviation score (SDS), using a
World Health Organization (WHO)-recommended international
reference.11 20 We used a piecewise linear function to
interpolate the SDS values at 6 months and 18 months.7 The
interpolated SDS values were also back-transformed to the corresponding
weight and height values at these ages for the calculation of a weight
for height index. To reduce the problem of multicollinearity, it is
important to make measures of weight for height independent of height.
There is not a single index that can achieve this at all
ages.21 22 The PI
[PI=weight(kg)/length(m)3] was used for weight
for length at birth, at 6 months, and at 18 months. The independent
variables representing fetal growth included birth
length SDS and PI at birth. The independent variables
representing postnatal growth included change in length SDS
between birth and 6 months, change in length SDS between 6 and 18
months, change in PI between birth and 6 months, and change in PI
between 6 and 18 months. The changes were defined as values at the
recent age minus values at the previous age. For brevity, they were
referred to as
length SDS 0 to 6 months,
length SDS 6 to 18
months,
PI 0 to 6 months, and
PI 6 to 18 months. Birth weight and
birth length in metric form were not our focus. We provided some
information about them because we expected that some researchers would
be interested.
In the follow-up in 1997, the subjects were interviewed and examined by
a physician. The subjects had
15 minutes of rest after arrival at the
clinic and were seated for 5 minutes before blood pressure measurement.
An automatic device (Dinamap, Critikon, Neuilly Plaisance) and a cuff
of the recommended size for the mid-upper arm circumference were used.
Three measurements were taken at 1-minute intervals. Arithmetic means
of the last 2 readings were taken for the systolic and
diastolic blood pressure outcomes.
Body mass index (BMI) was also measured at age 30 years and analyzed as a covariate. Other covariates included gender, mothers education, mothers health status during pregnancy, gestational age (GA, in completed weeks), and respondents education. Mothers education was enumerated at birth and categorized as "no formal education/primary incomplete," "primary complete," or "secondary or above." Chronic diseases during pregnancy (eg, kidney disease, hypertension) and complications of pregnancy (toxemia) were recorded by physicians, and the mothers were classified as "healthy" versus "diseased" during pregnancy. GA was estimated according to last menstrual period. Respondents education level was reported in the follow-up interview and classified as "secondary" or "tertiary."
Statistical Analysis
A
2 test and t test were
used to compare the characteristics of the cohort members included in
the analysis and the cohort members not included. Pearson
correlation (r) was used to examine the association among
independent variables. Initially, the associations between each
independent variable and adult systolic and
diastolic blood pressure were separately analyzed
by ordinary least-squares regression, adjusting for covariates. Then,
we proceeded to multiple regression models that
simultaneously analyzed fetal and postnatal growth
variables, controlling for GA and other covariates. In the
regression analysis, each gender was pooled. Interaction
between gender and the independent variables were tested.
Initially, mothers education was analyzed as a categorical
variable. F tests showed that assuming linear effect did
not compromise goodness of fit (P>0.1), so the
analysis presented in this article treated mothers
education as having a linear effect. Recently, there has been a
discussion on the dual effects of statistical adjustment for adult BMI.
It is well known that adjusting for adult BMI as a covariate can reduce
variation in blood pressure measures and therefore improved precision.
Lucas et al23 maintains that there is a second effect
on the interpretation of the regression coefficient of birth weight or
relative weight at birth. Briefly, birth weight (or relative weight)
adjusted for adult BMI refers to centile crossing in weight (relative
weight) from pediatric to adult age. As such, we included a
supplementary analysis without adjustment for adult BMI. To
provide a more clinical feel of the associations, we estimated the
differences in blood pressure between subjects at high (95 percentile)
and low (5 percentile) values of each significant anthropometric
variable. To check model robustness, we examined the leverage
statistics by using the criterion suggested by Hoaglin and
Welsch.24
| Results |
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The birth length and birth weight of the 400 cohort members not
included were 48.7 cm and 3.1 kg, each gender pooled. They were
virtually identical to those of the 122 participants (t
values=1.03 and 0.4, respectively; P>0.1). Mothers
education level of the 2 groups (each gender pooled) was also similar
(
2=1.43, df=2, P=0.5;
details not shown).
Birth weight was highly correlated with birth length SDS
(r=0.85; P<0.05), whereas PI at birth was
independent of birth length SDS (r=-0.08;
P>0.05). PI at birth was inversely associated with
PI 0
to 6 months (r=-0.47; P<0.05) and, to a lesser
degree, with
PI 6 to 18 months (r=-0.19;
P<0.05). Similarly, birth length SDS was inversely
associated with
length SDS 0 to 6 months (r=-0.38;
P<0.05) and with
length SDS 6 to 18 months
(r=-0.18; P<0.05).
Table 2 shows the bivariate regression coefficients of systolic and diastolic blood pressure on growth variables and GA, with adjustment for covariates. Birth weight had a significant, inverse association with systolic pressure: An increment of 1 kg in birth weight was associated with a reduction of 6.0 mm Hg (P<0.05). Birth length also had a significant, inverse association with systolic pressure. In terms of centimeters, the regression coefficient was -1.1 (P<0.05); in terms of SDS the coefficient was -2.6 (P<0.05). Other regression coefficients were not statistically significant at the 5% level. Birth length was inversely associated with diastolic pressure. The regression coefficients for birth length in centimeters and birth length SDS were -0.8 (P<0.05) and -1.9 (P<0.05), respectively. Birth weight and other variables were not significant in this regard.
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Table 3 shows the multiple
regression models for systolic and diastolic blood
pressure. Having adjusted for GA and other covariates, PI at birth
(regression coefficient or ß=-1.8),
PI 6 to 18 months
(ß=-2.2), and birth length SDS (ß=-3.2), were significantly
related to systolic blood pressure (each P<0.05).
PI 0 to 6 months (ß=-1.4; P=0.05) was marginally
significant. Postnatal changes in length SDS were not associated with
systolic blood pressure at age 30. Birth length SDS had a
significant inverse association with diastolic blood
pressure (ß=-2.6; P<0.05). None of the other
anthropometric variables were significantly related to
diastolic pressure. Tests for interaction between gender
and anthropometric variables in both systolic and
diastolic blood pressure models did not show any
statistical significance (each P>0.1). According to the
criterion of Hoaglin and Welsch,24 3 subjects were
potentially influential on the multivariable regression as
indicated by a leverage value larger than 2xmean leverage value.
However, exclusion of the 3 subjects from the analysis would
give similar findings (details not shown), except that
PI 0 to 6
months would be more significant in this restricted sample (ß=-1.9;
P=0.01).
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In a supplementary set of multiple regression, we omitted adult
BMI from the multiple regression models. Without adjustment for adult
BMI, the coefficients of PI at birth on systolic and
diastolic blood pressure reduced to -1.3
(P=0.14) and -0.4 (P=0.55), respectively
(details not shown). In another supplementary analyses, we
substituted
BMI to
PI (details not shown). The results were
similar to those reported in Table 3. The only difference that
may affect the interpretation was that the (multiple) regression
coefficient for
BMI 0 to 6 months on systolic blood pressure
became insignificant (ß=-1.7; P=0.08).
Table 4 shows that the predicted differences in systolic and diastolic pressure between subjects at 95 percentile and 5 percentile of each significant anthropometric variable. It can be seen that the clinical importance of the fetal growth and early postnatal growth variable on blood pressure was roughly the same as that of adult BMI.
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| Discussion |
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Nonetheless, there are several limitations in this study. Of the
original longitudinal study of 523 subjects, complete data were
available from 122 (23%) for the analysis. However, the
participants and nonparticipants were similar in birth length, birth
weight, and mothers education. These 3 characteristics were chosen
for comparison before the analysis. There was no obvious
selection bias. The sample size was affected by the losses to
follow-up. There could be a problem of statistical power. Effect
estimates that were clinically important should be tentatively
interpreted with this problem in mind. Most historic data could not
offer data on GA. Our analyses involved imputation of GA values
for 3 subjects. However, the number was small and the imputation had
taken into account of birth weight. We use PI for its independence from
birth length; we then used
PI for postnatal change in weight for
height for consistency. Using
BMI instead of
PI in
the multiple regression would provide similar results.
There was substantial correlation between the body size
variables at various ages. Birth weight itself was strongly
correlated with birth length. Any seemingly apparent association
between birth weight and blood pressure could be the result of birth
length. Birth length was associated with diastolic
pressure, but birth weight was not (Table 2). PI and length SDS
at birth were negatively correlated with
PI and
length SDS,
especially during the first 6 months of life. This reflected catch-up
growth in early infancy. Estimates of the impact of size at birth on
blood pressure could be affected by postnatal growth. Multiple
regression analyses (Table 3) suggested that length and
PI at birth and postnatal growth in weight for height from 6 to 18
months were inversely related to blood pressure in young adulthood. The
association between postnatal growth in weight for length 0 to 6 months
can only be taken tentatively because the significance level of
PI 0
to 6 months was marginal (P=0.05) and using
BMI 0 to 6
months as an alternative indicator would give an insignificant result
(P=0.08). Birth length was also inversely associated with
diastolic blood pressure. Blood pressure level mainly
varied within the normal range in the present sample. Only 1 male
participant was found to be hypertensive (145/95), with a birth length
of -2.3 SDS, a PI at birth of 25.3, and a
PI 0 to 6 months of
-6.1. It has been suggested that hypertension is initiated by early
experience and that the effect will amplify throughout
life.9 Empiric findings have shown that the
association between birth weight and blood pressure is age-dependent;
the older the subject, the stronger the association.3 9
Furthermore, within a cohort, peoples relative positions of blood
pressure tend to maintain over time. The present cohort was only at
the age of 30 years. It is quite plausible that at older ages the early
growth failure may not only lead to a higher blood pressure but also a
higher risk of hypertension.
Lucas et al23 suggested comparing the regression coefficients of birth weight (or relative weight) with and without adjustment for adult BMI. In agreement with their hypothesis, without the adjustment, the coefficients of PI at birth slightly reduced toward the null value. This suggests the impact of centile crossing in weight for length from pediatric age to adulthood. Nevertheless, the point estimate on systolic blood pressure remained to be negative and strong. This may reflect an independent effect undetected as the result of insufficient statistical power.
At first glance, the inverse association between postnatal change in PI and systolic blood pressure seems to contradict findings from a Dutch study on blood pressure and a Finnish study on cardiovascular mortality, which suggested a positive association between postnatal weight gain and blood pressure and cardiovascular mortality.5 7 However, the present study and the previous studies in Europe are not comparable because of differences in the age of measurement of body size and in the outcome variables. For instance, in the Finnish study, the first postnatal growth measurement was taken at the age of 7 years. Moreover, there is an important difference in the situation of postnatal growth. In the Finnish study, postnatal accelerated growth was reportedly driven by improved nutrition. Though the Dutch study did not report, it is reasonable to assume that the Dutch infants born in 1980 had better nutrition and living environment than did the infants born in 1967 in Hong Kong. A previous report of the Hong Kong study has described the poor situation of the infants.19 The children had diarrheal and respiratory diseases related to environmental reasons. From the age of 6 months, there was a problem of inappropriate weaning and feeding practice; therefore, in this study, postnatal changes in body size should be interpreted as reflecting growth faltering, which is a more relevant worry in developing countries than childhood accelerated growth.
Postnatal height gain did not have any statistically significant relation with blood pressure in adulthood. Despite a lot of research since the 1970s, the causes and mechanisms of stunting in early ages are still largely unknown in nutritional and metabolic terms.26 Nevertheless, epidemiological studies suggested that stunting and wasting represent 2 different biological processes.11 It is then not very surprising to see changes in PI associated with blood pressure but not changes in length. It also highlights the importance of differentiating height/length and weight for length.
Recent research suggested that the association between blood
pressure and stroke was stronger in the Asian population than in the
Western population. It was estimated that a reduction of 3 mm Hg
in diastolic blood pressure should reduce the number of
strokes in eastern Asia by one third.27 If the regression
coefficients shown in Table 3 represent causal
relations, an improvement in birth length to the average level
described by the international reference (ie, an increase of 0.8 SDS)
will reduce diastolic blood pressure by
2.1 mm Hg.
This would mean a substantial public health achievement. It was also
suggested that the effect on preventing coronary events of
controlling blood pressure among Indo-Asians in Britain had been
understated (Cruickshank, Letter to Editor, Br Med J
1996;312:376). Identification of the determinants of blood pressure in
Asian people has an important societal implication. Fetal growth and
early postnatal growth may make a difference in blood pressure as
important as that of adult BMI (Table 4) and therefore should
receive healthcare attention.
In summary, the present study of Hong Kong Chinese 30 years of age confirms that shortness at birth was inversely associated with both systolic and diastolic blood pressure in adulthood. There were some signs that thinness at birth and faltering in PI from birth to 6 months were also inversely associated with systolic blood pressure, but a larger sample size is needed for a firm conclusion. Growth faltering in PI from 6 to 18 months was inversely associated with systolic blood pressure in adult life. There was no statistically significant evidence for any association between postnatal changes in length and blood pressure at age 30 years. Future research is needed to simultaneously analyze the impact of fetal and postnatal growth. Healthcare interventions to prevent and remedy fetal growth restriction and postnatal faltering should be evaluated with longer follow-up.
| Acknowledgments |
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Received December 27, 1999; first decision January 26, 2000; accepted May 11, 2000.
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