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Record W4415696044 · doi:10.1136/bmjopen-2024-095574

Nutritional status and associated factors among adolescents in Senegal: a nationwide cross-sectional study

2025· article· en· W4415696044 on OpenAlexfundno aff
Mariame Sy, Adama Diouf, Abdou Badiane, Maty Diagne-Camara, Abdoulaye Diagne, Nicole Idohou‐Dossou

Bibliographic record

VenueBMJ Open · 2025
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersMinistère de la SantéInternational Development Research Centre
KeywordsUnderweightMalnutritionOverweightDouble burdenObesityPublic healthPromotion (chess)Health promotionAbdominal obesity

Abstract

fetched live from OpenAlex

OBJECTIVE: Adolescents are a vulnerable group as they undergo rapid physical changes that can impact their nutritional status. Despite the implementation of some interventions addressing adolescent nutrition in Senegal, there remains a lack of comprehensive data on their nutritional status. This study aimed to assess nutritional status and associated factors among Senegalese adolescents aged 10-19 years. DESIGN: This cross-sectional study was part of the national food consumption survey, which was conducted among children aged 24-59 months, adolescents aged 10-19 years and adults aged 20 years and older. SETTING: The study was conducted in Senegal at the national level, in rural and urban areas, from July to November 2021. PARTICIPANTS: 1433 adolescents, boys and girls aged 10-19 years were randomly selected from 1800 households in 150 census districts. OUTCOME MEASURES: Nutritional status was assessed using body mass index for age z-score and waist-to-height ratio through anthropometric measurements. Dietary practices, health and socioeconomic and sociodemographic data were collected using questionnaires. Data were weighted for representativeness and logistic regression models were used to identify factors associated with underweight, overweight and obesity. RESULTS: Among the 1433 adolescents, one in five (21.7%) were underweight, 5.9% were overweight, 1.8% had obesity and 5% had abdominal obesity. Male gender (OR=1.74; p<0.001), being in the 10-14 years age group (OR=1.44; p<0.05), having diarrhoea (OR=4.86; p<0.05), skipping lunch daily (OR=2.28; p<0.01) and snacking (OR=1.51; p<0.05) were associated with increased risk of being underweight. Female gender was a predictor of being overweight (OR=4.68; p<0.001) and having abdominal obesity (OR=5.28; p<0.001). Urban adolescents were 59% more likely to be obese than rural adolescents (p<0.05). Adolescents who consumed dietary supplements had greater odds of obesity (OR=3.89; p<0.05) and those who skipped breakfast daily were 4.5 times more at risk of having abdominal obesity. More than 90% of adolescents had three main meals per day. Over 60.3% of adolescents reported snacking and 55.4% of them did so at least once per day. 72% of Senegalese adolescents met the minimum dietary diversity and the mean Dietary Diversity Score was 5.23±1.28. CONCLUSION: Underweight is high in Senegalese adolescents, particularly in rural areas and among boys and adolescents aged 10-14 years. Overweight and abdominal obesity among girls and urban adolescents require particular attention. Tackling the double burden of malnutrition in Senegalese adolescents requires a greater consideration of adolescents in policies and strategies, including the implementation of a malnutrition management programme as well as the promotion of healthy diets.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.400
Teacher spread0.351 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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