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Record W2917050985

Sobrepeso y Obesidad, Anemia e Inseguridad Alimentaria en Estudiantes de la Universidad de la Cañada: Un Estudio Descriptivo

2018· article· es· W2917050985 on OpenAlexaboutno aff
Laura Ivonne Cardoso-Sánchez, Araceli Vaquero-Vera, Nelly Victoria Gutiérrez-Moguel, Zaydi Anaí Acosta-Chí

Bibliographic record

VenueSalud y administración/Salud y administración(México, impresa) · 2018
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOverweightObesityMedicineAnemiaBody mass indexSocioeconomic statusPopulationDemographyMalnutritionGerontologyEnvironmental healthInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Overweight, obesity and anemia are prevalent problems in Oaxaca. University students are one of the sectors of the population with the highest level of education in a country. However, apparently they do not escape from the aforementioned problems. At the beginning of the university stage, young people are ending adolescence and several changes related to eating habits take place. This includes the excessive consumption of energy, omission of meals, increased consumption of fast food, and following inadequate and unvaried diets. For this reason, the objective of this study was to determine the prevalence of overweight, obesity, anemia and food insecurity in students aged 18 to 29 years from “Universidad de la Canada” located in Teotitlan de Flores, Magon, Oaxaca. We evaluated 120 students with an average age of 21.3 years ± 1.62, of which 64.2% were women and 35.8% men. Socioeconomic level, nutritional status based on the body mass index (BMI), fat percentage, visceral fat, prevalence of anemia and food insecurity were determined. Descriptive statistics and comparisons between groups were made by sex, overweight and obesity with the chi square, t student and Mann Whitney U tests. Results indicated that the most prevalent socioeconomic level in this group was D with 33.3%, classified as the second sector with the lowest quality of life in the population. 35% of students suffer from overweight and obesity. The prevalence of anemia is 9.2% and 84.2% present some degree of food insecurity. The conclusion reached is that overweight, obesity, anemia and food insecurity are manifest problems in the university population. However, the evaluation of other variables such as dietary assessment and a larger sample size is required in order to establish a broader profile in the  nutritional and health status of the students. The present study provides information that justifies the implementation of nutritional intervention programs in this age group.

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)0.013
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.008
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.003
Science and technology studies0.0080.008
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.003

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 head0.020
GPT teacher head0.391
Teacher spread0.370 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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