Can accurate data on birthweight be obtained from health interview surveys?

Robles, Arodys; Goldman, Noreen

doi:10.1093/ije/28.5.925

Cited by 26 publications

(17 citation statements)

References 8 publications

(11 reference statements)

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“…Another concern is that previous research has shown that there may be errors in the reporting of birth-weight data in surveys (Boerma et al 1996; Robles and Goldman 1999). We estimated alternative models with birth weight divided into three categories: low, average, and high.…”

Section: Discussionmentioning

confidence: 99%

Prenatal development in rural South Africa: Relationship between birth weight and access to fathers and grandparents

Cunningham¹,

Elo²,

Herbst³

et al. 2010

Population Studies

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Birth weight is an indicator of prenatal development associated with health in infancy and childhood, and may be affected by the family environment experienced by the mother during pregnancy. Using data from KwaZulu-Natal, South Africa, we explore the importance of the mother's access to the father and grandparents of the child during pregnancy. Controlling for household socio-economic indicators and maternal characteristics, the survival and residence of the biological father with the mother are positively associated with birth weight. The type of relationship seems to matter: married women have the heaviest newborns, but co-residence with a non-marital partner is also associated with higher birth weight. Access to the maternal grandmother may also be important: women whose mothers are alive have heavier newborns, but no additional benefit is observed from residing together. Co-residence with any grandparent is not associated with birth weight after controlling for the mother's partnership.

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Section: Discussionmentioning

confidence: 99%

Prenatal development in rural South Africa: Relationship between birth weight and access to fathers and grandparents

Cunningham¹,

Elo²,

Herbst³

et al. 2010

Population Studies

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“…This was the case in 6638 of 31 148 children included in the NNS. An indication of good data quality is the low degree of heaping observed: only 19% of the birthweights are multiples of 500 g. This is considerably lower than that observed in birthweight data from other population surveys (Robles and Goldman 1999).…”

Section: Data Descriptionmentioning

confidence: 72%

Regional patterns of birthweights in Papua New Guinea in relation to diet, environment and socio-economic factors

Müller

Betuela

Hide

2002

Annals of Human Biology

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Regional differences in mean birthweight in rural Papua New Guinea (PNG) and the importance of differences in family diet and maternal education and socio-economic status on such patterns were explored using birthweight data collected by the 1982/83 PNG National Nutrition Survey. A total of 6137 birthweight measurements from 85 PNG districts were available, representing 22% of all children included in the survey. The nature of possible selection biases are assessed and their implications discussed. Hierarchical Bayesian spatial models based on conditional autoregressive (CAR) priors were used to model spatial patterns in birthweights and their relation to different sets of covariates. Birthweights were found to exhibit striking geographical differences. Children from the central PNG highlands and from affluent lowland areas had the highest birthweights, while they were lowest in the (largely lowland) Sepik, Western, Madang and Milne Bay Provinces and in remote highland fringe areas. Maternal education, socio-economic status and diet were all important predictors, but only differences in family diet were correlated with the observed spatial patterns. The results of the present study highlight the importance of nutrition and socio-economic status in explaining differences in birthweights in PNG. Besides improving maternal health, interventions for improving birthweights in PNG should therefore aim at strengthening the economic base of rural populations and promote the cultivation and consumption of high quality foods.

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“…Another probable reason for the discrepancy is errors in the measurement for those infants who were actually weighed. Both these lapses are common in less developed countries (Boerma et al 1996;Robles and Goldman 1999;Blanc and Wardlaw 2005).…”

Section: Sample Characteristicsmentioning

confidence: 99%

The effects of Indonesia's ‘Midwife in the Village’ programme 10 years post-launch

Triyana

2016

Population Studies

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Data from the Indonesian Family Life Survey (1993-2000) were used to examine whether the effects of the Indonesian 'Midwife in the Village' programme persisted more than 10 years after its implementation. The study followed up earlier studies of the programme's effects by estimating its effects on pregnancy outcomes, using propensity-score matching applied to data collected after the 1997 Asian economic crisis. The results indicate that only the programme's effect on the use of prenatal care services persisted, and that the loss of village midwives during the crisis had no significant effect on pregnancy outcomes.

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Can accurate data on birthweight be obtained from health interview surveys?

Cited by 26 publications

References 8 publications

Prenatal development in rural South Africa: Relationship between birth weight and access to fathers and grandparents

Prenatal development in rural South Africa: Relationship between birth weight and access to fathers and grandparents

Regional patterns of birthweights in Papua New Guinea in relation to diet, environment and socio-economic factors

The effects of Indonesia's ‘Midwife in the Village’ programme 10 years post-launch

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