Comparative variability and interval correlation in linear growth of Hong Kong and Sudanese infants

Brush, G.; Harrison, G. A.; Baber, FM; Zumrawi, Faiza Y.

doi:10.1002/ajhb.1310040304

Cited by 12 publications

(12 citation statements)

References 4 publications

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“…Although this is potentially achievable in strictly research projects, in operational programmes this is much less likely to occur. Brush et al (11) overcame the monthly variation in days between measurements by computing the curvilinear relationship between the anthropometric variable, e.g. weight, and the actual days between measurements.…”

Section: Participants and Methodsmentioning

confidence: 99%

Impact of targeted food supplementation on pregnancy weight gain and birth weight in rural Bangladesh: an assessment of the Bangladesh Integrated Nutrition Program (BINP)

Nahar

Mascie-Taylor

Begum

2009

Public Health Nutr.

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Objectives: To assess whether the Bangladesh Integrated Nutrition Programme (BINP) correctly identified which pregnant women should be enrolled in the food supplementation programme, whether supplementation commenced on time and was taken on a regular basis. A second objective was to determine whether food supplementation led to enhanced pregnancy weight gain and reduction in the prevalence of low birth weight. Design: A one-year community-based longitudinal study. Setting: A rural union of Bhaluka Upazila, Mymensingh, located 110 km northwest of Dhaka City, the capital of Bangladesh. Participants: A total of 1104 normotensive, non-smoking pregnant women who attended Community Nutrition Centres were studied from first presentation at the centre until child delivery. Results: Pregnant women who had a BMI of ,18?5 kg/m 2 on first presentation should have been selected for supplementary feeding (2512 kJ (600 kcal)/d for six days per week) starting at month 4 (16 weeks) of pregnancy. However, of the 526 women who had BMI , 18?5 kg/m 2 , only 335 received supplementation; so the failure rate was 36?3 %. In addition, of those receiving supplementation, only 193 women (36?7 % of 526 women) commenced supplementation at the correct time, of whom thirty-two (9?6 % of 335 women) received supplementation for the correct number of days (100 % days). There were no significant differences in mean weight gain between BMI , 18?5 kg/m 2 supplemented or non-supplemented groups or between the equivalent groups with BMI $ 18?5 kg/m 2 . Weight gain was inversely related to initial weight, so lighter women gained relatively more weight during their pregnancy than heavier women. The mean birth weight in the supplemented and non-supplemented groups was 2?63 kg and 2?72 kg, respectively. Mothers with BMI , 18?5 kg/m 2 who were or were not supplemented had almost equal percentages of low-birth-weight babies (21 % and 22 %, respectively). Conclusion: The study raises doubt about the efficiency of the BINP to correctly target food supplementation to pregnant women. It also shows that food supplementation does not lead to enhanced pregnancy weight gain nor does it provide any evidence of a reduction in prevalence of low birth weight. Keywords Pregnancy weight gainFood supplementation Low birth weight Intra-uterine growth and development is one of the most vulnerable periods in the human life cycle. The weight of an infant at birth is an important indicator of maternal health and nutrition prior to, and during, pregnancy, and a powerful predictor of infant growth and survival (1) . Approximately 25 million babies are born each year weighing less than 2500 g, the WHO cut-off for low birth weight (LBW), of which 90 % are born in developing countries (2) . Bangladesh is one such country, where 50 % of childbearing women are suffering from malnutrition defined by BMI , 18?5 kg/m 2 and more than 20 % are severely stunted (3) . Bangladesh has the highest worldwide prevalence of LBW with rates estimated at between 20 % and 60 % (4,5) . The h...

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Section: Participants and Methodsmentioning

confidence: 99%

Impact of targeted food supplementation on pregnancy weight gain and birth weight in rural Bangladesh: an assessment of the Bangladesh Integrated Nutrition Program (BINP)

Nahar

Mascie-Taylor

Begum

2009

Public Health Nutr.

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“…The same procedure was used here because the 'monthly' variation in days was between 22 and 35 days. Consequently, individual polynomial regressions were computed for each woman and, as found by Brush et al, 12 the fit was very good with adjusted R 2 ranging from over 95% to nearly 100%. As a result, the predicted weight at 28-day intervals was computed and these predicted weights were used in all the subsequent analyses.…”

mentioning

confidence: 99%

“…Although this is potentially achievable in strictly research projects, in operational programmes this is much less likely to occur. Brush et al 12 overcame the monthly variation in days between measurements by computing the curvilinear relationship between the anthropometric variable, e.g. weight, and the actual days between measurements.…”

mentioning

confidence: 99%

Maternal anthropometry as a predictor of birth weight

Nahar

Mascie‐Taylor

Begum

2007

Public Health Nutr.

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Objective: To determine whether maternal anthropometry predicted birth weight, and if so, to identify which cut-offs provided the best prediction of low birth weight (LBW) in a field situation. Design: Community-based longitudinal study. Setting: A rural union of Bhaluka Upazila, Mymensingh, located 110 km north-west of Dhaka, the capital of Bangladesh. Participants: A total of 1104 normotensive, non-smoking pregnant women who attended community nutrition centres were studied from first presentation at the centre until delivery of their child. Results: Most of the pregnant mothers were between 20 and 34 years of age. Over one-third of the women were nulliparous, while 12.8% were multiparous (parity $ 4). Most (93%) mothers registered between the 3rd and 5th month of pregnancy. The frequency of LBW (, 2500 g) was 17%. Polynomial regression analyses showed that the best predictors of birth weight (based on adjusted R 2 values) were in general weight at registration and weight at month 9, with adjusted R 2 ranging from 2.5% to nearly 20%. Sequential regression analyses with height and weight showed that there was a significant effect of height after removing the weight variables, and adjusted R 2 increased in all analyses. Weight and height at registration month continued to be the best predictors of LBW. Sensitivity and specificity curves were drawn for each registration month, body mass index and different weight gain groups, and using different weight and height combinations. The results showed that, for registration month 3-5, a combination of weight (# 45 kg) and height (#150 cm) gave the highest sensitivity, which was 50%. However, maternal weight # 43 kg in pregnancy month 3 -5 alone gave the highest sensitivity of 80%. Conclusion: The best predictor of birth weight as a continuous variable was maternal weight at registration, each 1 kg increase in weight at registration being associated with an increase in birth weight of about 260 g. Maternal weight #43 kg in pregnancy month 3-5 alone gave the highest sensitivity of 80%. A combination of initial weight and height of the mother was not as good a predictor of LBW as weight alone.

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“…The conventional approach whereby nutritional status is assessed relative to external growth standards has been somewhat strengthened by evidence of a clear relationship between undernutrition, so defined, and mortality risk (Chen, Chowdhury andHuffman 1980, Heywood 1986). There is also support for the argument that growth variability provides a measure of environmental adversity that is not dependent on precarious assumptions about growth standards or growth genetics (Harrison and Schmitt 1989, Harrison, Brush, Almedom and Jewell 1990, Brush, Harrison, Baber and Zumrawi 1992. Our analysis in this paper is based on a third, comparative approach.…”

Section: Introductionmentioning

confidence: 89%

Longitudinal weight growth patterns in the highland fringes of West Sepik Province, Papua New Guinea: a comparison of three groups

Attenborough

Porteous

Gardner

1995

Annals of Human Biology

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Longitudinal weight growth data from three groups in West Sepik Province, Papua New Guinea, are compared. A form of analysis based on the four-parameter Jenss curve is adopted, to allow intelligible comparisons of parameter means despite irregular weighing schedules for individual children. Although many weighing records include notes of a child's ill-health (e.g. malaria), omission of these weighings does not have a large effect on the results. Some significant sex differences were found, but do not appear to be importantly confounded with group differences. Of the three groups compared, the East Mianmin live at moderate altitude, the Imnai live at low altitude, and the West Mianmin are a migrant group from moderate to low altitude. In principle the analysis could have shown the groups to be differentiated by altitude of current residence (suggesting the influence of environmental factors), by altitude of ancestral residence (suggesting the influence of genetic and/or cultural factors) or by some interaction of causal factors. Findings on most parameters suggest interaction. Neither moderate nor low-altitude conditions appear consistently more favourable to rapid growth; it is suggested that the advantage of a more favourable disease environment at moderate altitude may be at least partially offset by a nutritional disadvantage. The effect of environmental conditions may also be non-uniform, especially for young infants, since infants of the migrant group, the West Mianmin, are born heaviest but grow more slowly in the early months than infants of either non-migrant group.

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Comparative variability and interval correlation in linear growth of Hong Kong and Sudanese infants

Cited by 12 publications

References 4 publications

Impact of targeted food supplementation on pregnancy weight gain and birth weight in rural Bangladesh: an assessment of the Bangladesh Integrated Nutrition Program (BINP)

Impact of targeted food supplementation on pregnancy weight gain and birth weight in rural Bangladesh: an assessment of the Bangladesh Integrated Nutrition Program (BINP)

Maternal anthropometry as a predictor of birth weight

Longitudinal weight growth patterns in the highland fringes of West Sepik Province, Papua New Guinea: a comparison of three groups

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