Evidence map›Paper›PMID 19383960›Full record

ArticleJAMA2009

Association of maternal height with child mortality, anthropometric failure, and anemia in India.

S V Subramanian, Leland K Ackerson, George Davey Smith, Neetu A John

Abstract read
In one paragraph

Article in JAMA, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

119 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Linear growth trajectories in Zimbabwean infants.The American journal of clinical nutrition · 2016
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59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

S V SubramanianDepartment of Society, Human Development, and Health, Harvard School of Public Health, Boston, MA 02115, USA. svsubram@hsph.harvard.edu
Leland K Ackerson
George Davey Smith
Neetu A John

Funding

Asthma Disparities: Advancing Multilevel Causal ModelsK25HL081275 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUBRAMANIAN, SANKARAN VENKATA · 2005 to 2009
$717k
Medical Research Council G0600705NHLBI NIH HHS K25 HL081275
6 · The paper itself

Abstract

contextPrior research on the determinants of child health has focused on contemporaneous risk factors such as maternal behaviors, dietary factors, and immediate environmental conditions. Research on intergenerational factors that might also predispose a child to increased health adversity remains limited.

objectiveTo examine the association between maternal height and child mortality, anthropometric failure, and anemia. DESIGN, SETTING, AND POPULATION: We retrieved data from the 2005-2006 National Family Health Survey in India (released in 2008). The study population constitutes a nationally representative cross-sectional sample of singleton children aged 0 to 59 months and born after January 2000 or January 2001 (n = 50 750) to mothers aged 15 to 49 years from all 29 states of India. Information on children was obtained by a face-to-face interview with mothers, with a response rate of 94.5%. Height was measured with an adjustable measuring board calibrated in millimeters. Demographic and socioeconomic variables were considered as covariates. Modified Poisson regression models that account for multistage survey design and sampling weights were estimated.

main outcome measuresMortality was the primary end point; underweight, stunting, wasting, and anemia were included as secondary outcomes.

resultsIn adjusted models, a 1-cm increase in maternal height was associated with a decreased risk of child mortality (relative risk [RR], 0.978; 95% confidence interval [CI], 0.970-0.987; P < .001), underweight (RR, 0.971; 95% CI, 0.968-0.974; P < .001), stunting (RR, 0.971; 95% CI, 0.968-0.0973; P < .001), wasting (RR, 0.989; 95% CI, 0.984-0.994; P < .001), and anemia (RR, 0.998; 95% CI, 0.997-0.999; P = .02). Children born to mothers who were less than 145 cm in height were 1.71 times more likely to die (95% CI, 1.37-2.13) (absolute probability, 0.09; 95% CI, 0.07-0.12) compared with mothers who were at least 160 cm in height (absolute probability, 0.05; 95% CI, 0.04-0.07). Similar patterns were observed for anthropometric failure related to underweight and stunting. Paternal height was not associated with child mortality or anemia but was associated with child anthropometric failure.

conclusionIn a nationally representative sample of households in India, maternal height was inversely associated with child mortality and anthropometric failure.

Indexed as

AnthropometryBody HeightChild MortalityAdolescentAdultAnemiaChild, PreschoolCross-Sectional StudiesFathersFemaleGrowthGrowth DisordersHumansIndiaInfantInfant, Newborn

Identifiers

PMID19383960
PMCPMC3095774

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.