Food Insecurity, Dietary Intakes, and Eating Behaviors in a Convenience Sample of Toronto Youth

Dubelt-Moroz, Alexandra; Warner, Marika; Heal, Bryan; Khalesi, Saman; Wegener, Jessica; Zepetnek, Julia O. Totosy de; Lee, Jennifer J.; Polecrone, Taylor; El-Sarraj, Jasmin; Holmgren, Emelie; Bellissimo, Nick

doi:10.3390/children9081119

Cited by 3 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, food insecurity has been associated with several negative health outcomes such as obesity (Myers et al 2020), diabetes, hypertension (Pérez-Escamilla et al 2014), malnutrition (Grammatikopoulou et al 2019) and depression (Abrahams et al 2018). According to several studies, adults who were food insecure have modi able health behaviors such as unhealthy eating habits and poor diet quality (Ranjit et al 2020;Dubelt-Moroz et al 2022). For instance, in the present study, a negative relationship was determined between food insecurity, and healthy and balanced eating behavior.…”

Section: Discussionmentioning

confidence: 99%

Is Food Insecurity a Predictor of Sustainable and Healthy Eating Behaviors?

Selçuk

Atan

Arslan

et al. 2023

Preprint

View full text Add to dashboard Cite

In this cross-sectional study, it was aimed to investigate the relationship between food insecurity and sustainable and healthy eating (SHE) behaviors in adults. The study included 410 adults who were reached through social media applications. Data were collected through an online questionnaire including the Descriptive Information Form, the Household Food Insecurity Access Scale (HFIAS), and the SHE Behaviors Scale. The proportion of participants determined as mildly food insecure, moderately food insecure and severely food insecure was 10.2%, 6.6%, and 7.6%, respectively. Household food insecurity is adversely correlated with the Healthy and Balanced Diet (β:-0.226, p < 0.001), Quality Labels (β:-0.230, p < 0.001), Seasonal Foods and Avoidance of Food Waste (β:-0.261, p < 0.001), Animal Welfare (β:-0.174, p < 0.001) and Fat Intake (β:-0.181, p < 0.001). Household food insecurity is the negative predictor of healthy and balanced diet, Quality Labels, Seasonal Foods and Avoidance of Food Waste, Animal Welfare and Fat Intake.

show abstract

Section: Discussionmentioning

confidence: 99%

Is Food Insecurity a Predictor of Sustainable and Healthy Eating Behaviors?

Selçuk

Atan

Arslan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Accordingly, food insecurity has been associated with several negative health outcomes such as obesity (Myers et al 2020 ), diabetes, hypertension (Pérez-Escamilla et al 2014 ), malnutrition (Grammatikopoulou et al 2019 ), and depression (Abrahams et al 2018 ). According to several studies, adults who were food insecure have modifiable health behaviors such as unhealthy eating habits and poor diet quality (Ranjit et al 2020 ; Dubelt-Moroz et al 2022 ). For instance, in the present study, a negative relationship was determined between food insecurity and healthy and balanced eating behavior.…”

Section: Discussionmentioning

confidence: 99%

Is food insecurity related to sustainable and healthy eating behaviors?

Selçuk

Atan

Arslan

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

In this cross-sectional study, it was aimed to investigate the relationship between sustainable and healthy eating behaviors such as nutritional insecurity and a healthy and balanced diet, interest in regional and organic food products, consumption of seasonal food and avoidance of food waste, preference for locally produced foods, reduction of meat consumption, preference for eggs from free-range chickens, and sustainable fishery products, and consumption of low-fat food products in adults. The study included 410 adults who were reached through social media applications. Data were collected through an online questionnaire including the Descriptive Information Form, the Household Food Insecurity Access Scale (HFIAS), and the Sustainable Healthy Eating Behaviors Scale (SHEBS). The proportion of participants determined as mildly food insecure, moderately food insecure, and severely food insecure was 10.2%, 6.6%, and 7.6%, respectively. Linear regression analysis revealed that in Models 1, 2, and 3, there was a statistically significant negative association between food insecurity and the components of sustainable and healthy eating behaviors such as healthy and balanced diet ( β − 0.226, p < 0.001), quality labels ( β − 0.230, p < 0.001), seasonal foods, which are of avoidance of food waste ( β − 0.261, p < 0.001), animal welfare ( β − 0.174, p < 0.001), and fat intake ( β − 0.181, p < 0.001). In conclusion, food insecurity negatively affects healthy and balanced diet behaviors, interest in regional and organic food products, seasonal food products consumption and avoidance of food waste, consumption of low-fat food products, and the choice of products such as free-range chicken eggs, and sustainable fisheries. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-023-27694-8.

show abstract

Deployment of the Microeconomic Consumer Theory in the Artificial Neural Networks Modelling: Case of Organic Food Consumption

2022

View full text Add to dashboard Cite

Organic food consumption has become a significant trend in consumer behaviour, determined by various motives, among which the price does not play a major role, thus reflecting the Lancaster approach to the microeconomic consumer theory. Additionally, artificial neural networks (ANNs) have proven to have significant potential in providing accurate and efficient models for predicting consumer behaviour. Considering these two trends, this study aims to deploy the Lancaster approach in the emerging area of artificial intelligence. The paper aims to develop the ANN-based predictive model to investigate the relationship between organic food consumption, demographic characteristics, and health awareness attitudes. Survey research has been conducted on a sample of Croatian inhabitants, and ANN models have been used to assess the importance of various determinants for organic food consumption. A Three-layer Multilayer Perceptron Neural Networks (MLPNN) structure has been constructed and validated to select the optimal number of neurons and transfer functions. One layer is used as the first input, while the other two are hidden layers (the first covers the radially symmetrical input, sigmoid function; the second covers the output, softmax function). Three versions of the testing, training, and holdout data structures were used to develop ANNs. The highest accuracy was achieved with a 7-2-1 partition. The best ANN model was determined as the model that was showing the smallest percent of incorrect predictions in the holdout stage, the second-lowest cross-entropy error, the correct classification rate, and the area under the ROC curve. The research results show that the availability of healthy food shops and consumer awareness of these shops strongly impacts organic food consumption. Using the ANN methodology, this analysis confirmed the validity of the Lancaster approach, stating that the characteristics or attributes of goods are defined by the consumer and not by the product itself.

show abstract

Food Insecurity, Dietary Intakes, and Eating Behaviors in a Convenience Sample of Toronto Youth

Cited by 3 publications

References 42 publications

Is Food Insecurity a Predictor of Sustainable and Healthy Eating Behaviors?

Is Food Insecurity a Predictor of Sustainable and Healthy Eating Behaviors?

Is food insecurity related to sustainable and healthy eating behaviors?

Deployment of the Microeconomic Consumer Theory in the Artificial Neural Networks Modelling: Case of Organic Food Consumption

Contact Info

Product

Resources

About