MétaCan
Menu
← Back to cohort
Record W2921547692

Developing and Assessing the Validity and Reliability of an Iranian Food Security Questionnaire.

2019· article· en· W2921547692 on OpenAlexaff
Seyedeh Parisa Moosavian, Awat Feizi, Ahamd Esmaillzadeh, Neil R. Brett, Nick Bellissimo, Leila Azadbakht

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFood securityCronbach's alphaFace validityConstruct validityContent validityCluster samplingEnvironmental healthReliability (semiconductor)PovertyAnthropometryMedicinePsychologyQuestionnaireClinical psychologyPsychometricsGeographyPopulationStatisticsAgriculture
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Food insecurity has a considerable impact on the social, physical, and psychological well-being of people and there is no food security assessment tool specific for Iranians. This study aimed to develop and assess the validity and reliability of an Iranian-specific food security questionnaire. METHODS: The food security questionnaire was developed by five food security specialists by evaluating all available questionnaires (not specific to Iranians) in terms of applicability to Iranians. Furthermore, questions were developed from interviews conducted with ten families who were below the poverty threshold to understand how they described their food status. This questionnaire was administered to 200 households from different parts of Isfahan, Iran. Households were selected by multi-stage cluster randomized sampling. Households were categorized into 4 groups based on their score on the questionnaire; food secure (total score 0), mildly (total score 1-2), moderately (total score 3-7) and severely food insecure (total score 8-18). In the second stage of the study, 25 households were selected from each food security status group to evaluate the reliability and validity of the questionnaire by assessing sociodemographic, anthropometric, nutritional and biochemical parameters. RESULTS: The prevalence of food security and mildly, moderately and severely food insecure were 24%, 33%, 27% and 16%, respectively. Content and face validity of the questionnaire was evaluated by experts, and latent class analysis confirmed construct validity. The developed questionnaire had good internal consistency (Cronbach's α = 0.91) and showed significant differences in hypothesized directions in food security status for sociodemographic factors. The prevalence of mothers, but not fathers or children, who had hemoglobin, mean corpuscular volume (MCV) and hematocrit less than the normal ranges increased (P = 0.04, P = 0.02, P = 0.02; respectively) with food insecurity. CONCLUSION: Our findings indicated that the developed questionnaire was a valid and reliable instrument to measure household food insecurity of Iranian families.

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)0.015
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.180
GPT teacher head0.421
Teacher spread0.241 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicFood Security and Health in Diverse Populations→French-language works237,207→