C James1, A Harrison2, A Seixas3, M Powell4, S Pengpid5,6, K Peltzer6,7. 1. Department of Sociology, Psychology and Social Work, Faculty of Social Sciences, The University of the West Indies, Mona, Kingston, Jamaica. caryl.james02@uwimona.edu.jm. 2. Department of Child and Adolescent Health, Faculty of Medical Sciences, The University of the West Indies, Mona, Kingston, Jamaica. 3. Department of Population Health, Center for Healthful Behavior Change, NYU School of Medicine, New York, USA. 4. College of Education and Human Development, George Mason University, Virginia, USA. 5. ASEAN Institute for Health Development, Mahidol University, Salaya, Nakhon Pathom, Thailand. 6. University of Limpopo, Sovenga, South Africa. 7. Human Sciences Research Council, Pretoria, South Africa.
Abstract
PURPOSE: The primary objective of this study was to explore if self-reported food avoidance (fats, carbohydrates and protein) exists among college students in low- and middle-income countries (LMICs) and its relationship with body mass index (BMI), dieting, mood/anxiety symptoms, physical activities and general health knowledge. METHODS: This study is a subset (N = 6096) of a larger 26 LMICs cross-sectional survey, which consisted of 21,007 college students. We ascertained socio-demographic information, food avoidance, physical activities, dieting behaviours, depressive and PTSD symptoms, and recorded anthropometric measurements. Chi-square analyses assessed the relationship between predictor variables and food categories eliminated from participants' diet. Multiple logistic regression assessed if food avoidance predicts outcome variables such as binge drinking, high physical activity, being underweight, exhibiting significant depressive and PTSD symptoms. RESULTS: Food avoidance exists in as many as one-third of college students in low- and middle-income countries, with this being more likely in persons who are trying to lose weight whether by dieting or otherwise. Food avoidance was associated with higher BMI, depressive symptoms, and high intensity exercises, as well as the level of health knowledge influencing the types of food avoided. A significant difference was noted between lower middle-income and upper middle-income countries with respect to the foods they avoided. CONCLUSION: Despite being knowledgeable about health-related behaviours, we found that college students in our sample were not that different from those in developed countries and may be influenced by a similar advice given by non-experts about macronutrients. These results hold implications for intervention programmes and policy makers. LEVEL OF EVIDENCE: Level V, descriptive cross-sectional survey.
PURPOSE: The primary objective of this study was to explore if self-reported food avoidance (fats, carbohydrates and protein) exists among college students in low- and middle-income countries (LMICs) and its relationship with body mass index (BMI), dieting, mood/anxiety symptoms, physical activities and general health knowledge. METHODS: This study is a subset (N = 6096) of a larger 26 LMICs cross-sectional survey, which consisted of 21,007 college students. We ascertained socio-demographic information, food avoidance, physical activities, dieting behaviours, depressive and PTSD symptoms, and recorded anthropometric measurements. Chi-square analyses assessed the relationship between predictor variables and food categories eliminated from participants' diet. Multiple logistic regression assessed if food avoidance predicts outcome variables such as binge drinking, high physical activity, being underweight, exhibiting significant depressive and PTSD symptoms. RESULTS: Food avoidance exists in as many as one-third of college students in low- and middle-income countries, with this being more likely in persons who are trying to lose weight whether by dieting or otherwise. Food avoidance was associated with higher BMI, depressive symptoms, and high intensity exercises, as well as the level of health knowledge influencing the types of food avoided. A significant difference was noted between lower middle-income and upper middle-income countries with respect to the foods they avoided. CONCLUSION: Despite being knowledgeable about health-related behaviours, we found that college students in our sample were not that different from those in developed countries and may be influenced by a similar advice given by non-experts about macronutrients. These results hold implications for intervention programmes and policy makers. LEVEL OF EVIDENCE: Level V, descriptive cross-sectional survey.