This paper presents an investigation of the factors influencing the decision to purchase processed food based on traffic-light labeling (TLL). To achieve this, we use data from the official National Survey of Health and Nutrition, which gathered information on 26,532 individuals aged between 19 and 59 between 2011 and 2013. Employing a probit regression to assess the likelihood of buying food based on TLL, we identify a positive association between income level and the probability of buying food based on TLL; indeed, our model suggests that a 1% increase in monthly income increases by 0.
View Article and Find Full Text PDFIntroduction: This econometric analysis investigates the nexus between household factors and domestic violence. By considering diverse variables encompassing mood, depression, health consciousness, social media engagement, household chores, density, and religious affiliation, the study aims to comprehend the underlying dynamics influencing domestic violence.
Methods: Employing econometric techniques, this study examined a range of household-related variables for their potential associations with levels of violence within households.
Background: This study tests a framework that examines the role of several mental health factors (mood, wellbeing, health consciousness, and hoarding) on individuals' overconsumption behavior under the novel coronavirus context. This examination is relevant to public health literature because it increases our knowledge on how the context of COVID-19 pandemic affects people's mental health and provides answers to why individuals engage in overconsumption behavior. Additionally, this research also follows a cross-cultural perspective aiming to understand how individuals from different cultural orientations cope with the psychological effects of the COVID-19 pandemic.
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