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Record W2319694240 · doi:10.1177/0973174115588846

No Female Disadvantage in Anthropometric Status among Children in India

2015· article· en· W2319694240 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of South Asian Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsHospital for Sick ChildrenOttawa Hospital
Fundersnot available
KeywordsAnthropometryUnderweightWastingMedicineDemographyWeight for AgeMalnutritionLogistic regressionPediatricsBody mass indexOverweight

Abstract

fetched live from OpenAlex

Female disadvantage in child mortality, intra-household allocation of food and coverage of health interventions has been shown to exist in India. At the same time, there has been limited examination of female disadvantage in nutritional status. Using measures of anthropometry and anthropometric failure, we study female disadvantage in child nutritional status from the data collected from the Indian National Family Health Survey (NFHS) undertaken in 1992–1993 and 2005–2006. Height and/or weight measurements were available on 70,148 children aged 0–47 months in both survey periods. Child anthropometry (height/length-for-age [HAZ], weight-for-age [WAZ], weight-for-height/length [WHZ]) and anthropometric failure (defined according to the 2006 WHO growth standards as stunting, wasting and underweight) were analysed using linear and logistic regression models. In pooled regression models, boys were more likely to have lower anthropometric scores and higher rates of anthropometric failure. Across survey periods, the change in anthropometric status was greater for boys compared to girls for WAZ/underweight and WHZ/wasting, but was similar for HAZ/stunting. Boy–girl differences in anthropometry (with boys doing worse) were greater at less than 24 months of age and narrowed over time particularly in the 0–5 and 6–11 month age groups, resulting in no gender differences in anthropometric status. Declines in anthropometric status in HAZ/stunting and WAZ/underweight were found among third or higher birth order boys and girls, especially within families with two preceding children of the same sex but also in households with preceding children of mixed genders, suggesting a birth order effect as opposed to a birth order and gender effect. In 1992–1993 and 2005–2006, levels of anthropometric failure were higher among boys compared to girls in a majority of states. Although girls had lower levels of anthropometric failure, the magnitude of the between survey period decline was higher in girls in fewer states compared to boys (5/20, 7/25 and 10/20 states for stunting, underweight and wasting, respectively). In summary, in the most recently available data, using measures of anthropometric status, we did not find consistent evidence for female disadvantage in nutritional status among girls in India.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.301
Teacher spread0.271 · 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