The power of a nutritional explanation
The assessment of effects with which we are concerned was framed
within a quasi-experimental design. As such, the study faces most, if not all,
of the well-known risks involved in this type of experimental approach that we
listed in our earlier discussion (see Chap. IV). In this case, the villages, but
not the individuals, were randomized into one of the two nutritional treatments.
One might argue that utilizing this randomization would allow for a more
powerful analytic strategy than electing to use the individual as the unit of
analysis: theoretically, the four villages could have functioned as the units
for analysis. However, in our view, the benefits of such a strategy would be
illusory; the analysis would be legitimate only if the design had been that of a
true experiment and included randomization as well as blinding of both subject
and personnel. The intervention study failed to meet both these criteria. From
our own analyses, we now know that randomization did not render the Atole and
the Fresco villages comparable on all possible confounding variables, and
neither subjects nor field personnel were blinded with regard to treatment.
Our analyses of the follow-up data established long-term
developmental effects of nutritional supplementation, particularly among those
at the lower end of the social and economic distribution in the villages. To our
knowledge, no previous study has tested the effects of supplementary feeding
during the first years of life on intellectual functioning assessed 10-15 years
later. Our results are the first of this kind to be reported, and most readers
of the nutrition-behavior literature will find them unexpected (Pollitt, 1988).
However, it is necessary to review alternative explanations before an inference
of a nutrition effect can be drawn.
In Chapter IV, we discussed the foremost threats to the validity
of the conclusion that we propose; the most important among them were the
nonequivalence between villages (both during the intervention and in the 10-year
interval between the longitudinal and the follow-up study) with regard to
factors capable of affecting the outcomes of concern, differences in the
delivery and consumption of Atole and Fresco related to the differing
nutritional properties of the two drinks, and the different patterns of
attendance at the feeding stations where each of the supplements was
administered. Although we lack the necessary information to reject them
completely, our analyses of the available data converge to indicate that none of
these alternatives can completely account for the differences in the cognitive
functioning of subjects from Atole and from Fresco villages: the internal
validity of the nutritional explanation is not compromised by these challenges.
In addition to ruling out alternative explanations, we have also
established that a nutrition experiment did in fact take place and that the
nutritional differences between the Atole and the Fresco villages had
demonstrable developmental implications. The differences in the composition and
the actual consumption of the two supplements suggest that the individuals who
received the Atole were better nourished, particularly since Atole consumption
truly supplemented the diet rather than merely substituting for other foods
(see, e.g., Chap. IV).
Although the presence of a nutritional treatment is
unquestionable, we cannot test the original protein hypothesis, nor can we
specify which nutrient(s) determined the observed differences in outcomes. We do
know that the two supplements were equivalent in micronutrients per unit of
volume; however, the actual consumption of the Atole and Fresco supplements
differed. Thus, when actual micronutrient consumption data were analyzed in
terms of recommended dietary allowances (National Research Council, 1989), there
was no equivalence between the two groups in that regard. Because the subjects
in the Atole group consistently consumed more micronutrients than the subjects
in the Fresco villages in the postnatal period, we cannot rule out the
possibility that factors such as iron contributed to the test differences
between groups (Pollitt, in press).
Finally, we must consider whether our nutritional explanation
conforms with the current understanding of the nature and determinants of human
development. We argued in Chapter III that both theory and data support the
possibility of effects of early supplementary feeding on cognitive development
in adolescence. Early supplementary feeding of nutritionally at-risk infants and
preschool children results in a developmental advantage and is likely to have
beneficial long-term effects, just as the provision of educational opportunities
to young children living in poverty has been shown to have beneficial long-term
effects on their social behavior.
In addition, longitudinal studies of children exposed to stress
factors suggest that, while single events are generally not a sufficient
condition to affect development, the probability of deviancy increases when
multiple stress factors coexist or interact in synergistic fashion. We have
found that those children who were at the lowest levels of the SES distribution
and received Fresco performed less well on the battery of psychoeducational
tests than any of the other groups of children.
In contrast to the strong evidence on the effects of Atole
observed among the subjects in the cohort of maximum exposure, the range of
supplement effects on the subjects with late exposure (after 2 years of age) was
narrower. There were main effects of Atole on the knowledge and numeracy tests
and a significant interaction between treatment and grade attained on reading
achievement, similar to those found in the cohort of maximum exposure.
This difference in the range of effects observed among the two
groups suggests that the behavioral development of children is more sensitive to
nutritional factors during the first years of life, particularly during the
period of rapid growth in the brain and body. However, the effects on this late
exposure cohort show that, in a nutritionally at-risk population, dietary
improvements after the second year of life, following the peak period of growth
and change, will still have long-term developmental benefits.
In sum, the evaluations of competing explanations suggest that:
the dietary experimental intervention is the most likely determinant of the
observed differences in test
performance.