The Association of Demographic Characteristics and Food Choice Motives with the Consumption of Functional Foods in Emerging Adults

The functional food market is one of the fastest growing segments of the global food industry. The aims of this study were to understand the association of demographic characteristics and food choice motives (FCMs) with (a) attitudes toward functional foods and (b) consumption of functional foods in Australian emerging adults. Data were collected through a paper-based and online questionnaire completed by 370 young adults aged between 17 and 29 years. A binomial logistic regression was used to determine the association between demographic characteristics and FCMs with attitudes towards functional foods. The logistic regression model was statistically significant at χ2(11) = 48.310 (p < 0.001) and explained 18.1% of the variance in attitude towards functional food. Of the several predictors, only the FCMs natural content and weight control were statistically significant. A binomial logistic regression was also used to determine the association between demographic characteristics and FCMs with the consumption of functional foods. The logistic regression model was statistically significant at χ2(9) = 37.499 (p < 0.001) and explained 14.1% of the variance in functional food consumption. Of the eight predictors, three were statistically significant: living situation, natural content and health. Findings highlight that when targeting emerging adults, functional food companies could benefit from promoting the natural and health properties of their products. Furthermore, consumption can be increased by targeting the parents of emerging adults and by designing functional foods that attract emerging adults interested in controlling weight.

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Binomial logistic regression model of household motorcycle ownership in Akure, Ondo State, Nigeria

Journal of Transport Literature ◽

10.1590/2238-1031.jtl.v9n4a8 ◽

2015 ◽

Vol 9 (4) ◽

pp. 40-44 ◽

Cited By ~ 3

Author(s):

Olugbenga Joseph Oyedepo ◽

Japheth Etu

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Binomial Logistic Regression ◽

Ondo State

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Modelling and Analyzing Consumer Behaviour Employing Observational Data

International Journal of Food and Beverage Manufacturing and Business Models ◽

10.4018/ijfbmbm.2018010103 ◽

2018 ◽

Vol 3 (1) ◽

pp. 42-57

Author(s):

Yuliia Kyrdoda ◽

A.Malek Hammami ◽

Drakos Periklis ◽

Panagiotis Kaldis

Keyword(s):

Decision Making ◽

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Consumer Behaviour ◽

Explanatory Power ◽

Demographic Characteristics ◽

Marketing Strategies ◽

Purchase Behavior ◽

Factors Affecting

The purpose of this article is to investigate and model retail consumer purchase behavior and determine factors affecting the purchasing decision. The following hypotheses were verified: H1 tests the influence of “Decision-making Time” over “Final Purchase”. H2 tests “Promotion” over “Final Purchase”. H3, H4 and H5 were established to test the influence of demographic characteristics (respectively: Age, Nationality, Gender) over “Final Purchase”. SPSS 23 was used to analyze the collected data from the observations completed in the supermarket. In order to identify the explanatory power of the variables, a Logistic Regression model was developed. Empirical findings indicated that demographic characteristics (Age, Nationality, Gender), as well as “Time” and “Promotion,” have a significant effect on “Purchase” and that “Time” has a greater impact on “Purchase.” These results could be used to design marketing strategies in order to increase sales. However, a few limitations occurred during the study such as observation timing, the unicity of location and observers' subjectivity.

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Incidence and predictive factors of problems after fixation of trochanteric hip fractures with sliding hip screw or intramedullary devices

Hip International ◽

10.1177/1120700020959339 ◽

2020 ◽

pp. 112070002095933

Author(s):

Piers R J Page ◽

Michael H Field ◽

Niraj Vetharajan ◽

Adam Smith ◽

Luke Duggleby ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Hip Fractures ◽

Logistic Regression Model ◽

Trochanteric Fractures ◽

Sliding Hip Screw ◽

Binomial Logistic Regression ◽

Hip Screw ◽

Tip Apex Distance ◽

Postoperative Problems

Introduction: Hip fractures are common and disabling injuries, usually managed surgically. The most common type outside the joint capsule are trochanteric fractures, usually fixed with either sliding hip screw or intramedullary nail. Data are available in the National Hip Fracture Database (NHFD) on early failure and other major complications, but late or subtler complications may escape recording. This study sought to quantify such problems after fixation performed at 3different sites and identify their predictors. Methods: Patients with a trochanteric fracture treated at 1 of 3 sites were identified from the NHFD over a 3-year period. Any with further, related episodes of care were identified, and reasons recorded, then age- and sex-matched with those with no such episodes. Data was collected on Arbeitsgemeinschaft für Osteosynthesefragen classification, tip-apex distance, American Society of Anesthesiologists (ASA) grade, Abbreviated Mental Test Score and pre-injury mobility. The cohorts were compared, and a binomial logistic regression model used to identify predictors of problems. Results: A total of 4010 patients were entered in the NHFD across 3 sites between January 2013 and December 2015. Of these, 1260 sustained trochanteric fractures and 57 (4.5%) subsequently experienced problems leading to re-presentation. The most common was failure of fixation, occurring in 22 patients (1.7%). The binomial logistic regression model explained 47.6% of the variance in incidence of postoperative problems with ASA grade and tip-apex distance being predictive. Discussion: The incidence of re-presentation with problems was around of 5%. A failure rate of less than 2% was seen, in keeping with existing data. This study has quantified the incidence of subtler postoperative problems and identified their predictors. The type of implant used was not amongst them and patients with both implants experienced problems. Fixation continues to yield imperfect results, but patient health and robust surgical technique remain important factors in a good outcome.

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