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Record W4399501737 · doi:10.62811/th.0134

Impact of Television Advertising on Food Habit of Children: The Case of Lebanese Armenian Private Middle Schools 8th and 9th Graders

2013· dissertation· en· W4399501737 on OpenAlexaboutno aff
Tamar Kevork Nalbandian

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingHabitConsumption (sociology)PopulationArmenianCronbach's alphaPsychologyPurchasingQuarter (Canadian coin)MarketingBusinessGeographySocial psychologyMedicineDevelopmental psychologyEnvironmental healthSocial scienceSociology

Abstract

fetched live from OpenAlex

Children have always been a lucrative target for advertisers and marketers due to their spending power and their influence on their parent's purchasing decisions. Marketers reach children by all types of promotions from television to smart phones, internet, and newsprints. The observed growing interest of certain food categories marketers in targeting children and teen eventually started to create concerns about the effects of those aggressive advertising messages on children. Consequently, certain countries like the USA, Switzerland, Canada and Australia have discussed and even established laws that protect children from the excessive targeting through television advertisements by certain food categories marketers. The purpose of the present study was to investigate the impact of television advertisements on the food habits of 8th and 9th graders of six Lebanese Armenian middle schools selected at random from the study target population of Lebanese Armenian middle schools. A thirty items Survey Questionnaire was administered to the 352 8th and 9th graders. A Cronbach Alpha and Factor Analysis were used to establish the reliability and validity of the administered Questionnaire. Five research questions were investigated: (1) Do Television food advertisements targeting 8th and 9th graders have an impact on their food consumption habits? (2) Is there a relationship between socio-economic status (tuition level) and attitude toward 8th and 9th graders' food consumption habit? (3) Is there a relationship between socio-economic status (tuition level) and TV watching habit of the 8th and 9th graders? (4) Do gender differences influence food consumption habits of the 8th and 9th graders? (5) Do gender differences influence TV watching habit of the 8th and 9th graders? Results of this study showed that that the more the 8th and 9th graders view television, the more they are aware, know and like television food ads and the worse is their eating behavior habits. Furthermore, the more positive is their attitude toward those advertised food categories the worse is their eating behavior habits. Consequently, the more the 8th and 9th graders trust advertised food categories on television the worse is their eating behavior habits. The study also showed that the lower the socio economic status the higher is the consumption of advertised food and television viewing habits. Finally, results showed that gender differences and nature of food consumption habit of the 8th and 9th graders are not dependent and they are dependent with their television viewing habit. From the results of this study, we can conclude that certain food categories companies and marketers are relatively successful in targeting through television advertisements middle school age children (11-14 yrs). Thus, in order to minimize the negative impacts of television advertisements targeted to children, parents should be encouraged to monitor their children's television viewing habits, school officials need to introduce nutritional educational programs in their curriculum. Lebanese government and health organizational agencies should introduce laws that force advertisers to conduct themselves ethically to protect children from misleading television food commercial appeals.

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)0.000
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 score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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