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Record W2164978335 · doi:10.1093/ije/dyh165

Commentary: Maternal nutrition, body proportions at birth, and adult chronic disease

2004· letter· en· W2164978335 on OpenAlexaff
Michael S. Kramer

Bibliographic record

VenueInternational Journal of Epidemiology · 2004
Typeletter
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsFaminePregnancyMedicineHead circumferenceDemographyMalnutritionEpidemiologyBirth weightGestational agePediatricsObstetricsGeographyInternal medicineBiology

Abstract

fetched live from OpenAlex

The Dutch Famine Study, originally published as a full-length volume in 1975,1 is one of the classic texts in perinatal epidemio-logy and should be required reading for all students and practitioners in that field. It is based on the very unnatural experiment of severely limited food rations imposed by the Germans on the west of Holland during what has been termed the ‘hunger winter’ of 1944–1945. The limited rations began with a transport embargo in October 1944 and ceased abruptly with the liberation by allied forces in May 1945. Even pregnant women (who received extra rations) averaged <1000 kcal/day during the winter months. Birth records, including measurements of birthweight, birth length, and head circumference, were available from several teaching hospitals in the region. Because pregnant women were exposed at different times before, during, and after their pregnancies, the Dutch Famine Study enables a careful assessment of the effects of acute maternal undernutrition at specific time periods on the outcome of pregnancy. The major findings in the 1975 publication were that exposure to the famine in the third trimester, but not preconceptionally or during early pregnancy, resulted in major (approximately 300 g, or 10%) reductions in mean birthweight, with somewhat smaller (2–3%) relative reductions in length and head circumference. No consistent reductions were found for gestational duration. The article by Stein et al. in this issue of the International Journal of Epidemiology2 focuses on the effect of the famine on body proportions at birth (ratios and other relationships between pairs of the three measurements of weight, length, and head circumference). The authors justify this focus based on the potential relevance of newborn body proportions for the fetal origins of adult disease (FOAD). Some of the early work in the FOAD area suggested that differences in severity or timing of acute maternal undernutrition could affect body proportions. Much of the speculation about this was based on Tanner's highly schematic graphs, which suggested deceleration of growth in length after 20 weeks of gestation.3 These graphs have been repeatedly cited by investigators interested in studying body proportions at birth, but studies based on prostaglandin or hysterotomy terminations show no evidence of deceleration of growth in length after 20 weeks in gestation.4,5 Crown-heel length appears to increase linearly until at least 35 or 36 weeks. Studies have clearly shown that maternal undernutrition and overnutrition have greater relative negative and positive effects, respectively, on fetal weight than they do on length or head circumference.6 Thus body proportions at birth, which are most commonly reported using Rohrer's ponderal index (birthweight in grams × 100/birth length3 in cm3), have been shown to be highly associated with the degree of growth restriction, as reflected by reduction in birthweight for gestational age. More severely growth-restricted infants tend to be disproportionately thin (‘asymmetric’), while mildly growth-restricted infants tend to be more proportional (‘symmetric’).6 Other than these associations with severity, variations in proportions among weight, length, and head circumference have not been convincingly shown to carry any unique prognostic information with respect to subsequent growth or health, including adult chronic disease. Simple geometric considerations suggest that reductions in linear measurements should be reflected in much larger (following a cubic function) reductions in volume (and thus weight). Even taking this into account, however, reductions in birthweight are generally larger than those in length or head circumference. Using a z-transformation to standardize other anthropometric measurements for weight, length and head circumference are progressively reduced with increasingly severe reductions in weight, but the reductions are of a lesser magnitude than for weight (i.e. length and head circumference are partially ‘spared’).6 In my view, perinatal epidemiologists have given insufficient attention to overweight at birth. Several countries have reported a consistent temporal trend toward increasing birthweights, particularly at term.7 Since high birthweight is associated with an increased risk of obesity in childhood and beyond,8,9 we should be concerned that this birthweight trend may be contributing to the current obesity epidemic. The alarming increase in prevalence of obesity in both children and adults seems largely attributable to reductions in physical activity (and, perhaps, increases in energy intake). But the temporal trend toward higher prepregnancy body mass index and weight gain during pregnancy appears to be at least partly responsible for the trend toward heavier babies.10 Epidemiological research, clinical practice, and public health policy relating to the long-term effects of fetal growth on adult chronic disease should perhaps focus more on the overnutrition of mothers and infants than on fetal proportionality associated with maternal undernutrition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.046
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.048
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0040.003
Scholarly communication0.0030.004
Open science0.0090.001
Research integrity0.0460.038
Insufficient payload (model declined to judge)0.0110.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.355
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2004
Admission routes1
Has abstractyes

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