Previous studies have investigated the effects of COVID-19 on the general population of college students. However, research evaluating the complex behavioral and psychological impact of the pandemic on both obese and underweight students is currently limited. We used data from a survey conducted from March to April 2020 across 2534 students enrolled in seven US universities. We examined whether the associations between taking various behaviors and being obese and underweight students are unidimensional, or varies based on various negative emotions, and their sociodemographic characteristics. Also, we checked whether emotions of obese and underweight groups are impaired, which consequently might impact taking various cautionary behaviors. The results highlight complex relationships between being obese and underweight students and other considered variables. For instance, despite the associated risk, it was found that obese students are associated with less fear, guilt and irritability due to the pandemic. However, those associations vary based on factors such as level of educations. In addition, while obese students are less likely to avoid a large group of people, the impact changes based on gender. Lack of precautions and emotions is despite the increased risk of hospitalization and death associated with obese and underweight groups. Finally, it was found that there are negative and stable associations between higher social class, income, and the lower likelihood of being obese or underweight. Significant differences and similarities were also found across factors to obese and underweight students.

Studies have investigated various aspects of how the COVID-19 pandemic has impacted college students’ well-being. However, the complex relationships between stress and its correlates have received limited attention. Thus, the main objective of this study is to evaluate multiplicative associations between stress and demographic, lifestyle, and other negative emotion factors during the pandemic. We used data from a survey with 2,534 students enrolled in seven U.S. universities and analyzed such data with generalized additive Tobit models and pairwise interaction terms. The results highlighted associations and interactions between myriad factors such as students’ social class, income, parental education, body mass index (BMI), amount of exercise, and knowing infected people in the student’s communities. For instance, we found that the associations between feeling irritable and sad due to the pandemic were interactive, resulting in higher associated stress for students with higher levels of parents’ education. Furthermore, associations between taking precautionary actions (i.e., avoiding travel and large gatherings) and stress varied with the intensity of negative feelings (i.e., sadness and irritability). Considering these interaction terms, the results highlighted a great inequality in pandemic-related stress within low income, lower social class, and higher BMI students. This study is among the earliest that employed a stratified approach with numerous interaction terms to better understand the multiplicative associations between different factors during the COVID-19 pandemic.

Although the COVID-19 pandemic has been deeply painful, it has provided a rare opportunity to study the behavioral responses of individuals in adapting to an unprecedented life event. An analysis of participants’ subjective health ratings during the COVID-19 pandemic was conducted by utilizing data from a survey of college students across seven universities in the US. In this study, we challenged the unidimensional factors to the subjective wellbeing by considering all multiplicative associations of those factors. Considering the interaction terms is especially important as not considering those impacts might obscure our understanding regarding the real associations. It was found that while higher screen hours, BMI, and various negative feelings are negatively associated with higher subjective health, higher family income, social class, and students’ and their mothers’ educations are associated with a higher subjective well-being. However, the impacts of the majority variables are interactive. For instance, the impact of mother’s education varies based on the genders of students, or the impact of screen hours differs based on family income. In addition, the degree students limit of exercise at home or gym changes based on the negative feeling they experience during the pandemic. Remarkably, during the pandemic while irrationally limiting exercise at home was associated with a lower subjective health, limiting exercise at gym was positively associated with the response.