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Prevalence of obesity and overweight in urban adult Nigerians

2010· article· en· W1513515171 on OpenAlexaff
Samuel T. Olatunbosun, Jay S. Kaufman, A F Bella

Bibliographic record

VenueObesity Reviews · 2010
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsMcGill University
Fundersnot available
KeywordsOverweightObesityNigeriansMedicineBody mass indexAnthropometrySocioeconomic statusPopulationDemographyEnvironmental healthConfidence intervalGerontologyInternal medicine

Abstract

fetched live from OpenAlex

Obesity is increasingly a major health problem in parts of the developing world. It has reached epidemic proportions among Africans living in the Western Hemisphere; similar potential may exist in urban Africa. We explored this possibility in an urban setting in Nigeria, Africa's most populous nation. A screening survey was carried out among randomly selected 998 civil servants, 581 men and 417 women, in Ibadan, a major Nigerian city. Biographical data were collected using standardized questionnaires, and measurements of anthropometric indices, blood pressures and plasma glucose concentration. Obesity and overweight were defined by body mass index based on international criteria. Prevalence of obesity was 8.82% (confidence interval [CI]=7.13%, 10.75%), overweight 17.45% (CI=15.12%, 19.95%), and overweight plus obesity=26.18% (CI=23.47%, 29.03%). Prevalence of obesity among the women was 17.27% (CI=13.76%, 21.24%) and for men 2.75% (CI=1.58%, 4.43%). Among the women 42% were obese or overweight compared with 15% of the male population. Obesity and overweight were associated with higher socioeconomic status. Prevalence of obesity and overweight in the study population is comparable to rates seen in many industrialized countries, and rapidly emerging urbanized populations in Africa.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations52
Published2010
Admission routes1
Has abstractyes

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