Demand for selected exotic fruits and vegetables among government workers: a quadratic almost ideal demand system approach

Adenegan, Kemisola O.; Adegbite, O. O.; Ibe, R. B.

doi:10.17660/actahortic.2018.1225.56

Cited by 1 publication

(6 citation statements)

References 7 publications

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“…A higher or more frequent intake of fruit, vegetables or combined FV in women than men, was observed across nine studies ( 30 , 33 , 39 , 40 , 46 , 52 , 54 , 64 , 67 ). In four studies the highest intake or purchase of fruit, vegetables or combined FV was observed among men ( 28 , 35 , 40 , 48 ). No differences between men and women, neither for fruit, nor for vegetable consumption or purchase was observed in ten studies ( 29 , 32 , 42 , 50 , 53 , 55 , 57 , 60 , 62 , 73 ).…”

Section: Resultsmentioning

confidence: 98%

“…Gender in terms of biological sex differences in fruit, vegetable and combined FV consumption and purchase was investigated in 22 studies ( 28 – 30 , 32 , 33 , 35 , 39 , 40 , 42 , 46 , 48 , 50 , 52 – 55 , 57 , 60 , 62 , 64 , 67 , 73 ). A higher or more frequent intake of fruit, vegetables or combined FV in women than men, was observed across nine studies ( 30 , 33 , 39 , 40 , 46 , 52 , 54 , 64 , 67 ).…”

Section: Resultsmentioning

confidence: 99%

“…The relevance of age was examined in 21 studies ( 28 , 29 , 31 , 32 , 35 , 40 , 42 , 43 , 46 , 50 , 52 – 54 , 56 , 57 , 60 , 62 , 64 , 67 , 73 , 74 ). Twelve studies found that the frequency and quantity of fruit, combined FV, and vegetable consumption increased with increasing age ( 31 , 35 , 46 , 50 , 52 – 54 , 56 , 60 , 64 , 67 , 73 ).…”

Section: Resultsmentioning

confidence: 99%

“…The relevance of occupation or employment status was investigated in 14 studies ( 28 , 31 , 32 , 39 , 42 , 43 , 50 , 53 , 54 , 56 , 57 , 73 , 79 , 80 ). Nine of these found associations between different types of occupation and fruit, vegetable or combined FV consumption ( 28 , 31 , 39 , 43 , 50 , 53 , 54 , 73 , 79 ).…”

Section: Resultsmentioning

confidence: 99%

“…One study among adults in Mauritius examined the frequency and also the timing of fruit consumption between age groups and found significant differences between younger and older adults and whether fruit was consumed after lunch or after dinner (74). In seven studies, no association was found between age and fruit; between age and vegetable; or age and combined FV consumption or purchase (28,29,32,42,50,57,62).…”

Section: Agementioning

confidence: 99%

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Factors affecting fruit and vegetable consumption and purchase behavior of adults in sub-Saharan Africa: A rapid review

et al. 2023

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In order to achieve the Sustainable Development Goals, considerable dietary shifts, including an increase in the consumption of fruit and vegetables (FV) will be required. However, worldwide consumption of FV is far below international recommendations, including in many low- and middle-income countries (LMICs), particularly in Africa. Understanding what, where, when, and how people choose to eat requires an understanding of how individuals are influenced by factors in their social, physical, and macro-level environments. In order to develop effective interventions to increase fruit and vegetable consumption, the factors influencing consumer behavior need to be better understood. We conducted a rapid review to assess and synthesize data on individual, social, physical, and macro-level factors that enable or constrain fruit and vegetable consumption and purchase among adults living in sub-Saharan Africa. Our conceptual framework is based on a socio-ecological model which has been adapted to settings in LMICs and Africa. We systematically searched four electronic databases including Scopus, Medline (PubMed), PsycInfo, and African Index Medicus, and screened Google Scholar for gray literature. We included a total of 52 studies and narratively summarized the existing evidence for each identified factor across the different levels. We found that most studies assessed demographic factors at the individual level including household or family income, socio-economic status and education. Furthermore we identified a variety of important factors that influence FV consumption, in the social, physical, and macro environment. These include women's empowerment and gender inequalities, the influence of neighborhood and retail food environment such as distance to market and price of FV as well as the importance of natural landscapes including forest areas for FV consumption. This review identified the need to develop and improve indicators both for exposure and outcome variables but also to diversify research approaches.

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