TY - JOUR
T1 - Behavioral and lifestyle influences on reported calorie intake
T2 - a latent class model
AU - Popovich, Deidre
N1 - Publisher Copyright:
© 2017, © Emerald Publishing Limited.
PY - 2017
Y1 - 2017
N2 - Purpose: The purpose of this paper is to study the behavioral and lifestyle influences on reported calorie intake. Marketing segmentation techniques applied to self-reported food consumption can offer benefits to both health policy and marketing research. Design/methodology/approach: The two-stage modeling process in this research determines important behavioral, lifestyle and sociodemographic influences on reported calorie intake. Significant predictors are then included in latent class models, which are used to derive and describe five consumer segments. Findings: These segments differ with respect to their food-related activities, such as dieting, grocery shopping and preparing food at home. The segments also differ with respect to lifestyle characteristics, such as household size, employment status and income. Data obtained from a multi-period probability sample help generalize the results to the US population. Originality/value: The models developed in this paper can inform health policymakers by explaining reported calorie intake patterns more thoroughly than demographics alone, aiding their ability to create more targeted interventions. This approach also allows food marketers to clarify consumer insights that can be used for targeting particular food shopper segments.
AB - Purpose: The purpose of this paper is to study the behavioral and lifestyle influences on reported calorie intake. Marketing segmentation techniques applied to self-reported food consumption can offer benefits to both health policy and marketing research. Design/methodology/approach: The two-stage modeling process in this research determines important behavioral, lifestyle and sociodemographic influences on reported calorie intake. Significant predictors are then included in latent class models, which are used to derive and describe five consumer segments. Findings: These segments differ with respect to their food-related activities, such as dieting, grocery shopping and preparing food at home. The segments also differ with respect to lifestyle characteristics, such as household size, employment status and income. Data obtained from a multi-period probability sample help generalize the results to the US population. Originality/value: The models developed in this paper can inform health policymakers by explaining reported calorie intake patterns more thoroughly than demographics alone, aiding their ability to create more targeted interventions. This approach also allows food marketers to clarify consumer insights that can be used for targeting particular food shopper segments.
KW - Calories
KW - Diet
KW - Health
KW - Latent class
KW - Nutrition
UR - http://www.scopus.com/inward/record.url?scp=85019633550&partnerID=8YFLogxK
U2 - 10.1108/JCM-06-2016-1849
DO - 10.1108/JCM-06-2016-1849
M3 - Article
AN - SCOPUS:85019633550
VL - 34
SP - 214
EP - 225
JO - Journal of Consumer Marketing
JF - Journal of Consumer Marketing
SN - 0736-3761
IS - 3
ER -