ArticleJournal of health, population, and nutrition2025
Socio-demographic and attitudinal factors influencing household fruit and vegetable purchasing frequency in Eastern Türkiye.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Agricultural abundance, dietary shortfall: national determinants of daily fruit and vegetable intake in Türkiye National Nutrition and Health Survey.Journal of health, population, and nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study examines the relationship between households' fruit and vegetable purchasing frequency and their socio-demographic characteristics and attitudes, with a focus on Eastern Türkiye's Van province, a region underrepresented in existing literature.
objectiveTo explore how socio-demographic and attitudinal factors influence the frequency of household fruit and vegetable purchases.
methodsMethodologically, the research employs a Chi-square test of independence to compare households' fruit and vegetable purchasing frequencies across four categories: never, twice a month, once a week, and more than once a week. To further analyze the determinants of purchasing frequency, an ordered probit model was utilized. This econometric approach was applied to obtain coefficients used in calculating marginal effects and probabilities.
resultsThe empirical results reveal significant influences of various household characteristics on fruit and vegetable purchasing frequency. Household income, fruit and vegetable expenditure, employment and insurance status of the household head, perception of sufficient fruit and vegetable consumption within the household, and fruit and vegetable consumption by children in the household were found to positively affect the frequency of household fruit and vegetable purchases. Conversely, the age of the household head was found to negatively impact the frequency of fruit and vegetable purchases. Given the behavioral elements involved in food purchasing, this study also incorporates attitudinal and perceptual factors that may reflect bounded rationality beyond classical utility theory.
conclusionThis research contributes to both public health and behavioral economics literature by integrating socio-demographic and psychological variables into the analysis of purchasing behavior. The findings suggest that multifaceted approaches may be necessary to effectively increase fruit and vegetable consumption, including economic interventions, educational programs, and targeted interventions for specific demographic groups such as older adults. The results also offer empirical support for developing regionally tailored strategies in under-studied areas like Van.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.