Theory of planned behavior applied to fish consumption in modern Metropolitan Lima

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Abstract

Abstract Despite being an important source of protein, fish consumption in Peru is low compared with other coastal countries. Thus, the objective of this study is to identify the core determinants of such consumption. We based our analysis on the framework provided by the Theory of Planned Behavior (TPB) where attitudes, subjective norms, past experience and health involvement determine the intention and frequency of fish consumption. Primary data were gathered through 159 consumers of fish in modern Metropolitan Lima between August and October 2015. From a set of likert scale indicators a structural model was specified to evaluate the relationships given by the theoretical framework of the TPB. The results showed that the intention to eat fish is determined by personal attitudes, norms and past experience, and as expected, intention itself causes the frequency of fish consumption. Nonetheless, although consumers’ interest in healthy eating was shown to positively influence fish consumption behavior by theory, Metropolitan Lima fish consumers seem to be not concerned by positive health attributes related to fish consumption. These results may have important implications on production decisions, sales and marketing for the promotion of fish in Lima as a means of economic development.

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The Theory of Planned Behavior: A Review of Its Applications to Health-related Behaviors

Gaston Godin, Gerjo Kok (1996)

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Individual determinants of fish consumption: application of the theory of planned behaviour.

Wim Verbeke, Isabelle Vackier (2005)

This study investigates individual determinants of fish consumption behaviour based on cross-sectional data collected in Belgium. Analyses show that determinants as hypothesised by the theory of planned behaviour (TPB) and personal characteristics influence fish consumption intention and frequency. Favourable attitude, high subjective norm and high perceived behavioural control have a positive impact on fish consumption decisions. Significant habit effects are detected when including habit as a separate regressor of behavioural intention and behaviour. Appreciation of the attribute taste emerges as the most important driver for eating fish, followed closely by health. Bones and price constitute the negative attitude factor, which, however, does not directly reduce behavioural intention. Individual determinants pertain to gender, age, children, income, education level and region. Fish consumption frequency in compliance with health recommendations is higher among women and increases with increasing age, while the presence of children in the household leads to lower fish consumption. The lowest income class has the lowest fish consumption frequency. Higher education results in a higher intention to eat fish but has no effect on the consumption frequency itself. The coastal region of West Flanders is the region with the highest consumption. Food involvement correlates positively with fish consumption intention and frequency, whereas no significant impact of food-health awareness is found.

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Is Open Access

On the validity of area-based income measures to proxy household income

Gillian Hanley, Steve Morgan (2008)

Background This paper assesses the agreement between household-level income data and an area-based income measure, and whether or not discrepancies create meaningful differences when applied in regression equations estimating total household prescription drug expenditures. Methods Using administrative data files for the population of BC, Canada, we calculate income deciles from both area-based census data and Canada Revenue Agency validated household-level data. These deciles are then compared for misclassification. Spearman's correlation, kappa coefficients and weighted kappa coefficients are all calculated. We then assess the validity of using the area-based income measure as a proxy for household income in regression equations explaining socio-economic inequalities in total prescription drug expenditures. Results The variability between household-level income and area-based income is large. Only 37% of households are classified by area-based measures to be within one decile of the classification based on household-level incomes. Statistical evidence of the disagreement between income measures also indicates substantial misclassification, with Spearman's correlations, kappa coefficients and weighted kappa coefficients all indicating little agreement. The regression results show that the size of the coefficients changes considerably when area-based measures are used instead of household-level measures, and that use of area-based measures smooths out important variation across the income distribution. Conclusion These results suggest that, in some contexts, the choice of area-based versus household-level income can drive conclusions in an important way. Access to reliable household-level income/socio-economic data such as the tax-validated data used in this study would unambiguously improve health research and therefore the evidence on which health and social policy would ideally rest.