Unhealthy Food Consumption Research Articles

Adolescent screen time and unhealthy food consumption in the context of the digital development in New Caledonia.

For several years, the Pacific Island Countries and Territories (PICTs) have been undergoing digital developments that have had an impact on the time adolescents spend in front of screens. The association between screen time and the overconsumption of unhealthy foods has been observed but little studied in New Caledonia. The twofold aim of this research was to analyze adolescent screen time based on the number of screens at home, gender, place of living, ethnic community and family socio-professional category and determine the link with the consumption of unhealthy food and drinks. Self-report questionnaires on time spent in front of tablets, computers and mobile phones, as well as the consumption of unhealthy food and drinks, were administered between July 2018 and April 2019 to 867 adolescents from 11 to 15 years old during school hours in eight schools across the three provinces of New Caledonia. Adolescents in rural areas had fewer screens than their urban counterparts, and the number of screens determined the amount of screen time, which was significantly higher among the adolescents living in urban areas (3.05 h/day weekdays vs rural 2.33 h/day). Screen time was not related to gender, socio-professional category or ethnic community, but correlations were found between screen time and consumption of unhealthy food and drinks. Those who consumed less than 1 u/day of unhealthy drinks watched screens for 3.30 h/day, whereas those who consumed more than 1 u/day watched screens for 4.13 h/day. Also, those who consumed less than 1 u/day of unhealthy food watched screens for 2.82 h/day and those consuming more than 1 u/day did so for 3.62 h/day. Melanesians and Polynesians consumed greater quantities of unhealthy food and drinks than Europeans. As the consumption of unhealthy products is linked to screen time in the context of digital development, there is an urgent need to address the excessive consumption of unhealthy foods in Oceanian populations, particularly among young people.

Weight Gain, Lifestyle, and Cognition During the COVID-19 Pandemic in Southern Brazil.

During the COVID-19 pandemic, the world experienced social distancing that resulted in changes in habits and lifestyle. Such changes can compromise healthy eating habits and the practice of physical activities, known risk factors for developing weight gain and obesity. The main objective of this study was to describe the change in eating habits, lifestyle, and cognition of the population of Rio Grande do Sul, a state in Southern Brazil, during social distancing due to COVID-19. The study was conducted from July 21 to August 10, 2020, through a structured online questionnaire that asked for sociodemographic information (age, gender, and education), anthropometric (reported weight and height), change in eating habits, lifestyle (sleep quality and physical activity), and cognition. Chi-square, McNemar tests, and univariate and multivariate analysis were used to evaluate the variables. Confidence intervals were calculated with a significance level of 5%. Of a total of 1072 participants, 57.3% of respondents reported weight gain, and an increased percentage of people were classified as obese. Nearly half of the participants (46%) reported changes in their eating habits for the worse. Body mass index (BMI) was significantly associated with increased consumption of unhealthy foods. Our results identified high physical inactivity (46.9%) and obesity (19%) during social distancing. The changes in eating habits and lifestyle also increased the risk for decreased cognition. These findings highlighted that social distancing impacted eating habits and lifestyle, which increased obesity rates and might predispose to decreased cognition.

Associations between trait food craving and adolescents’ preferences for and consumption of healthy versus unhealthy foods

Adolescents experiencing stress sometimes exhibit an increase in unhealthy eating behaviors; however, it is unclear whether and how adolescents' food cravings play a role in adolescents’ behavioral reactivity to stress. The present study evaluated whether trait food craving predicted preferences for and actual consumption of unhealthy (i.e., high fat and/or high sugar) versus healthy foods following the Trier Social Stress Test in a sample of 96 adolescents. Further, we evaluated whether emotion regulation moderated these associations, such that those who endorsed more frequent use of maladaptive emotion regulation strategies exhibited a higher preference for and consumption of unhealthy foods. Results indicated that higher levels of trait food craving predicted higher levels of unhealthy food consumption after the laboratory stressor. However, trait food craving did not predict preferences for healthy or unhealthy food, nor consumption of healthy food, following the stressor. Additionally, emotion regulation did not moderate any of these associations. These findings suggest that trait food tendencies may play a role in adolescents’ food-related behavior in response to acute stressors, should they be replicated in other studies using both laboratory-based and naturalistic designs to study adolescent eating behaviors.

Parity and Eating Habits Trigger Chronic Energy Deficiency in Pregnant Women

Nutrition of pregnant women is related to the welfare of the fetus they contain. Chronic energy deficiency (CED) during pregnancy is a trigger for cases of hypertension in pregnancy, pre-eclampsia, bleeding and premature rupture of membranes. Therefore, nutritional adequacy is something that needs to be considered, both before, during and after pregnancy ends. This research is an observational study using a case control design. This study aims to explore the factors that cause chronic energy deficiency in pregnant women. The sample used was 120 respondents who were divided into case and control groups with a ratio of 1:2. The results showed that the proportion of CED incidence was 33.3%, low education was 97.5%, risk parity was 43.3%, family income was below the district minimum wage (DMW) 60%, LILA was less than 23.5 cm 33.3%. , BMI <18.5 22.5%, anemia 31.67%, and unhealthy food consumption habits 69.16%. There is a relationship between parity, family income, anemia, and unhealthy eating habits with the incidence of CED, and there is no relationship between education and the incidence of CED. It is necessary to use appropriate technology as much as possible, such as social media in providing assistance in overcoming CED and the existence of cross-sectoral cooperation in increasing the use of home gardens for families to fulfill family nutrition.

The Association between Plant-Based Diets and Dietary Patterns with Cardiometabolic Risk in a Sample of Commercial Taxi Drivers in South Africa.

The consumption of unhealthy foods and a sedentary lifestyle predispose individuals to non-communicable diseases. This study investigated the distribution and the association of plant-based diets (PBDs) and dietary patterns in relation to the cardiometabolic risks in commercial taxi drivers. A cross-sectional analysis was conducted among males (≥19 years) who consumed street foods sold by vendors in the Cape Metropole. A validated questionnaire was administered, including a quantified 24 h dietary recall, and fasting blood samples were collected for biochemical analyses. Statistical analyses were performed to investigate the association between dietary habits and cardiometabolic risks, while adjusting for confounding variables. The analytic sample consisted of 189 males with a median age of 38 years. The taxi drivers who ranked in the top-third of the healthy plant-based diet index (hPDI) had a 1-4% lower likelihood of having raised triglycerides (TG). Furthermore, consumption patterns including refined grains and meat conferred a 33% lower likelihood of dysglycaemia (p = 0.049), while fish/seafood, potatoes, and vegetables conferred a 43% greater likelihood of low high-density lipoprotein cholesterol (HDL-C) (p = 0.026) and 44% greater probability of raised low-density lipoprotein cholesterol (LDL-C) (p = 0.027). Consumption patterns, including sugar-sweetened beverages and eggs, conferred a 37% greater probability of hypertension (p = 0.047) and 53% greater likelihood of subclinical inflammation (p = 0.017). These preliminary findings require larger and more elaborate studies to explore the associations between PBDs and dietary patterns in at-risk African populations, with or without sedentary lifestyles, and exposure to unhealthy food environments.

Sociodemographic factors and screen exposure associated with the consumption of healthy and unhealthy dietary markers in children attended at a university hospital in Rio de Janeiro, Brazil.

To evaluate the association between sociodemographic factors and screen exposure during meals with the consumption of dietary markers in children treated at a university hospital in Rio de Janeiro. Cross-sectional study with children of both sexes between 2 and 9 years of age. Food consumption and screen exposure were assessed using specific forms. The socio-demographic data evaluated were age, maternal education, household composition, receipt of government benefits, and household food and nutrition security. The statistical analysis included simple and multivariate logistic regression with a confidence interval of 95%. Among the 129 children evaluated, most of them were of preschool age (57.4%), 71.3% received some type of government benefit, and 69.8% ate meals in front of screens. Among the markers of a healthy diet, beans (86.0%) and fresh fruits (69.8%) were the most consumed, while among the markers of an unhealthy diet, the most common components were sweetened beverages (61.7%) and cookies, candies, or other sweets (54.7%). There was a higher consumption of sweetened beverages among the children whose families received a government benefit (OR 2.63; 95% CI: 1.13-6.13) and who were exposed to a screen during meals (2.27; 95% CI: 1.01-5, 14). This study showed that in view of the high frequency of consumption of unhealthy foods and screen exposure during meals, it is imperative that food and nutrition education actions are taken to promote an adequate and healthy food environment in childhood.

Disaggregating the effects of daytime and nighttime light exposures on obesity, overweight, prostate and breast cancer morbidity worldwide

ABSTRACT Hormone-dependent cancers and overweight/obesity are not necessarily linked but might have similar underlying causes, such as circadian disruption, lack of physical activity, and unhealthy nutrition. Several empirical studies also attribute the rise in these types of morbidity to vitamin D deficiency, linked in turn to insufficient sunlight exposure. Other studies place an emphasis on melatonin (MLT) hormone suppression, associated with artificial light at night (ALAN) exposure. Yet no studies, carried out to date, have attempted to determine which of these environmental risk factors is associated stronger with the morbidity types in question. In this study, we aim to narrow this knowledge gap by analyzing data available for 100+ countries worldwide, while controlling ALAN and solar radiation exposure estimates by several potential confounders, such as GDPpc, GINI inequality index and unhealthy food consumption. As the study reveals, all the morbidity types under analysis are significantly and positively associated with ALAN exposure estimates (p < 0.05), while solar radiation appears to be significantly associated with prostate cancer rates only (p < 0.05), but not with breast cancer or overweight/obesity rates (p > 0.1). To the best of our knowledge, this study is the first that separates the effects of ALAN and daylight exposures on the abovementioned types of morbidity.

Food environment around schools and adolescent consumption of unhealthy foods in Addis Ababa, Ethiopia.

Adolescent diets may be influenced by the retail food environment around schools. However, international research to examine associations between the proximity of retail food outlets to schools and diet provides equivocal support for an association. This study aims to understand the school food environment and drivers for adolescents' consumption of unhealthy foods in Addis Ababa, Ethiopia. Mixed-methods research was conducted, 1200 adolescents (10-14 years) from randomly selected government schools were surveyed, along with vendors within 5-min' walk of the schools and focus group discussions (FGDs)with adolescent groups. Mixed-effect logistic regression investigated the relationship between the number of vendors around the schools and the consumption of selected unhealthy foods. Thematic analysis was used to summarize findings from the FGDs. Consumption of sweets and sugar-sweetened beverages (S-SSB)and deep-fried foods (DFF)at least once a week was reported by 78.6% and 54.3% of the adolescents, respectively. Although all schools were surrounded by food vendors selling DFF and S-SSB,consumption was not associated with the number of vendors available around the school. However, adolescents' awareness and perception of healthy food, and their concerns about the safety of foods in the market, influenced their dietary choices and behaviours. Lack of financial resources to purchase food as desired also played a role in their selection of food and eating habits. Reported unhealthy food consumption is high among adolescents in Addis Ababa. Thus, further research is warranted to come up with school-based interventions that promote access and healthy food choices among adolescents.

Predictors of chronic kidney disease among Indonesian adult population: Results from the 2018 Indonesia Basic Health Research

Background: Three out of ten cases of chronic kidney disease (CKD) are cause by type 2 diabetes mellitus (T2DM). In addition, nutritional status, consumption of unhealthy foods, high blood pressure, and smoking habits were also previously identified as risk factors to CKD but there is a scarcity of data from Indonesia. Therefore, we sought to determine the risk factors using a predictive model for the incidence of CKD in Indonesia based on the Indonesia Basic Health Research 2018. Methods: Secondary data from the 2018 Indonesia Basic Health Survey with 300,000 respondents was used. Respondents with complete socio-demographic, food consumption data, anthropometric data and chronic disease status (i.e. T2DM and hypertension) type 2 were analyzed (n=96,098). Binary logistic regression model was performed to assess the association between socio-demographic, food group consumption, health and nutritional status with CKD. Results: Based on the final model of logistic regression analysis, ranging from the most and least factors that contribute to CKD were the presence of T2DM (p&lt;0.000; OR=2.353), hypertension (p&lt;0.000; OR=1.695); education level (p=0.028; OR=1.438), living area (p=0.025; OR=1.242); age (p&lt;0.000; OR=0.979); and sugary drink consumption (p=0.050; OR=0.884). Conclusions: Prediction equation of CKD risk factor in Indonesia Adult included 6 factors that are present: diabetes, present hypertension, education, living area, age, and sugary drink consumption. This result can be used by the health professional to predict the risk of CKD among patients with present diabetes and/or hypertension.

Considerations on research in the field of lifestyle medicine

Healthcare systems from numerous countries are predominantly built on a disease-treatment model rather than a proactive health-prevention model. As the life expectancy has increased over time, the quality of one’s longevity is compromised by numerous chronic diseases which can be prevented. Unforeseeably, midlife mortality (among people aged 24 to 44) has increased in the last two decades as a 60-years review of mortality in the United States reveals. The most critical causes of these changes are linked to unhealthy behaviors such as unhealthy food consumption, sedentarism, smoking, alcohol use, drug addiction, workaholism, inadequate stress management or sleeplessness, all representing starting points or risk factors for diabetes, obesity, atherosclerosis, cardiovascular, neuropsychological and autoimmune diseases. Lifestyle Medicine is based on six pillars: whole-food, plant predominant diet, regular physical activity, quality sleep, stress management, avoidance of risky substances and social connection, all playing a major role in treating health problems. Furthermore, being given the lack of studies focused on lifestyle medicine, leading national experts were summoned to analyze the existing data and gaps regarding behaviors, chronic diseases including cardiovascular diseases, diabetes, cancer, inflammatory and autoimmune imbalances or other pathologies.

Clustering of physical activity, sedentary behavior, and diet associated with social isolation among brazilian adolescents

BackgoundAlthough obesogenic behaviors have been found to be related to social isolation, evidence-based person-centered approaches are lacking. This study investigated the association between clusters of obesogenic behavior – derived from a data-driven process – and social isolation among Brazilian adolescents.MethodsData from the National Adolescent School-based Health Survey (PeNSE) 2015 were analyzed. A total of 100,794 9th-grade students (51.3% females; 14.3 ± 0.1 years old) enrolled in 3,040 public and private high schools participated in the study. Social isolation was assessed by two outcomes (i.e., perceived loneliness and lack of close friends). A two-step cluster analysis was conducted to identify patterns of obesogenic behaviors with the input of leisure-time physical activity (PA), sitting time as a proxy of sedentary behavior (SB), and the weekly consumption of healthy and unhealthy food. Crude and adjusted binary logistic regression models were applied to evaluate the associations between the clusters of obesogenic behaviors and social isolation variables in adolescents. ResultsThree clusters were identified. Adolescents in the “Health-promoting SB and diet” (32.6%; OR = 0.69; 95% CI = 0.62–0.76) and “Health-promoting PA and diet” (44.9%; OR = 0.73; 95% CI = 0.67–0.79) clusters had lower odds of loneliness compared to those in the “Health-risk” cluster (22.5%). Those belonging to the “Health-promoting PA and diet” cluster were more likely to report having close friends (OR = 1.19; 95% CI = 1.00–1.41) than those in the “Health-risk” cluster.ConclusionAdolescents in clusters where positive behaviors outweighed negative ones were less likely to perceive themselves as lonely and without close connections.

The Association between Unhealthy Food Consumption and Impaired Glucose Metabolism among Adults with Overweight or Obesity: A Cross-Sectional Analysis of the Indonesian Population.

It has been shown that dietary patterns are associated with glucose control. However, the association between the types of food consumed and blood glucose in overweight or obese individuals is still unclear. The present study aimed to determine the association between unhealthy food consumption and impaired glucose metabolism in adults with overweight or obesity. The analysis presented in this study was based on the data from a population-based, cross-sectional, nationally representative survey (Indonesian Basic Health Research 2018/RISKESDAS 2018). The body mass index (BMI) was calculated as weight (kg)/height squared (m2) and was determined based on the World Health Organization (WHO) criteria for the Asian population. A validated questionnaire and food card were used to assess the diet. Fasting plasma glucose and 2-hpost-prandial glucose were employed to determine blood glucose markers. In total, 8752 adults with overweight or obesity were included in this analysis. We found that consumption of sweet, grilled, and processed foods was associated with impaired fasting plasma glucose (IFG) before and after adjustment (p < 0.05). Consumption of high-fat foods was also associated with impaired glucose tolerance (IGT) for all models tested (p < 0.05). Furthermore, all models showed a link between processed food consumption and combined glucose intolerance (CGI) (p ≤ 0.001). Differential food group consumption was associated with IFG, IGT, and CGI in Indonesian adults who were overweight or obese.

Identification of Kidney Related Disease Using Deep Learning

Nowadays, kidney stone problems are frequent, as more people are suffering from acute discomfort caused by kidney stones. The main cause of this disease is a high level of unhealthy food consumption and a low level of water consumption. Most health problems can be avoided if we drink enough water, but in this fast-paced world, people often forget to do so. As a result, stone concerns have arisen and been discovered as stone sizes have grown greater. They employ coronal computed tomography (CT) scan results and other study data on the belly and thorax to determine the sizes of stones and detect them in hospitals. This could assist in locating the issues. They currently utilize a back propagation method to assist them spot problems with an accuracy of 85 percent. We suggested deep learning methods and approaches, which process training data and data sets with labels, to find a more accurate level than the previous one. To obtain an accurate result rate, a larger number of photos are compared and analyzed with the scanned images. The accuracy level has been raised to 97.6%. So that we can acquire reliable results and diagnose problems sooner. We can observe how deep learning works and how it handles urological difficulties in this paper.

Impact of built, social, and economic environments on adolescent obesity and related health behaviors.

Thisstudyaimedto estimate the effects of the built, social, and economic environments on adolescent obesity and related behaviors. Exploiting quasi-exogenous variation in military families' geographic location, thisstudyestimated intent-to-treat models of the association between the assigned installation's county environments and adolescents' (mean age 13.5 years) self-reported and model-corrected BMI, overweightor obesitystatus, and self-reported diet and exercise. Three indices for the built, social, and economic environments characterized county-level environments (higher value implies more advantageous environments) based on 19 indicators. Multivariate linear and logistic models were estimated on the full sample (N = 1111) and on subsamples with greater exposure based on time (n=682) and off-installation residence (n=604). Exposure to more advantageous built environments for more than 2 years was associated with lower probabilities of obesity (-0.18; 95% CI: -0.34 to -0.026) and overweight or obesity (-0.34; 95% CI: -0.56 to -0.12) and was associated with lower BMI z scores (-0.76; 95% CI: -1.45 to -0.02). Results for adolescents living off-installation were similar. More advantageous built environments were also associated with lower consumption of unhealthy foods, but not with physical activity. Social and economic environments were not associated with any outcomes. The built environment, but not social and economic environments, was a strong predictor of adolescents' BMI, overweightor obesitystatus, and eating behaviors.

THE RELATIONSHIP BETWEEN EMOTIONAL EATING, MEAL SKIPPING AND UNHEALTHY FOOD CONSUMPTION PATTERN IN ADOLESCENT GIRLS

Introduction: Psychological problems can lead to emotional eating and meal skipping, which may impact unhealthy food consumption patterns. This study aimed to assess the interrelationship between emotional eating, meal skipping, and unhealthy food consumption pattern in adolescent girls. Method: This cross-sectional study included 122 samples of adolescent girls aged 13-15 years. The study was carried out in Tangerang, in June 2021. The data of emotional eating were measured by Emotional Eater Questionnaire (EEQ), meal skipping collected by self-reported questionnaire of daily eating frequency, and unhealthy food consumption patterns measured by Food Frequency Questionnaires (FFQ). Result: The results showed majority of emotional eater subjects more often consumed fatty foods (76.6%). It’s also found that adolescents skipping breakfast were high in consumed sweet foods (66.0%), while those skipping lunch (63.6%) and dinner (54.5%) were found higher to consume fatty foods than others. In addition, multivariate regression analyses showed that simultaneously between the variables, only emotional eating variables had a significant relationship with unhealthy food consumption patterns (p-value = 0.002), while meal skipping variables were not significantly related. Conclusion: It can be concluded that emotional eating can affect unhealthy food consumption patterns among adolescent girls, while meal skipping did not show any meaningful effect.

Comparing the effects of inhibitory control training and evaluative conditioning for unhealthy food behaviours

Cognitive Bias Modification (CBM) is hypothesised to reduce unhealthy food preference and consumption through the completion of computerised cognitive training tasks. While there is evidence to suggest that two popular CBM paradigms (Inhibitory Control Training (ICT) and Evaluative Conditioning (EC)) can have a positive influence on food-related outcomes, issues (and inconsistencies) related to task standardisation and control group design make it difficult to evaluate their standalone efficacy. In a pre-registered laboratory study using a mixed experimental design, our aim was to directly compare a single session of ICT and EC on implicit preference, explicit choice and ad-libitum food intake, while ensuring appropriate active control groups were utilised for each training type (in addition to a passive control group). The results revealed that there were no significant differences in terms of implicit preferences, ad-libitum food consumption or food choice. These results provide limited evidence to support the use of CBM as a psychological intervention for unhealthy food choice or consumption. Further work is needed to isolate mechanisms of effect for successful training and identify the most effective CBM protocols for implementation in future studies.

Population Subgroups at Risk of Unhealthy Changes in Food and Beverage Consumption During COVID-19 Lockdowns

BackgroundUnderstanding health behaviour changes during the COVID-19 pandemic can assist in developing strategies to promote healthy lifestyles at such times. The aim of this exploratory study was to examine whether the frequency of consuming unhealthy foods and beverages changed during lockdown and whether certain population subgroups were more likely to make such changes. MethodAn online survey was administered to a national sample of 4022 Australian adults (51% female, mean age 48 years). Generalised linear models with generalised estimating equations were used to identify whether demographic characteristics (age, gender, education, presence of children in the household, number of people in the household) and beliefs related to COVID-19 were associated with changes in the frequency of consuming alcohol, sweet snacks, salty snacks, and sugary beverages from pre to during lockdown.ResultsOverall, the frequency of consuming the four assessed unhealthy products did not change during lockdown. However, being male and having children at home were consistently associated with unhealthy changes, whereas believing that alcohol or unhealthy diets would exacerbate COVID-19 severity was linked to a decreased frequency of consuming these products respectively. Age, education, and living with more people were also associated with changes in the frequency of consuming some product categories.ConclusionDuring lockdown, certain population subgroups appeared to be at increased risk of more frequent consumption of unhealthy foods and beverages. Believing certain consumption habits are linked to adverse health impacts of COVID was found to reduce frequency of consumption of related products, presenting a potential focus for future public health actions.

Association of plant-based dietary patterns with the risk of osteoporosis in community-dwelling adults over 60years: a cross-sectional study.

Osteoporosis,a common chronic disease in older adults, threatens their health. Many nutrients in plant foods are important for preventing osteoporosis. However, the relationship between plant-based dietary patterns and osteoporosis remains unclear. This study aimed to investigate the cross-sectional association between plant-based dietary patterns and osteoporosis in older adults. This study was conducted among 9613 community-dwelling older adults in Liaoning Province, China. The effective food frequency questionnaire (FFQ) and plant-based diet index (PDI) were used to evaluate compliance with plant-based dietary patterns. Osteoporosis was defined based on heel ultrasound. We analyzed the association between healthy plant-based diet index (HPDI) and unhealthful plant-based diet index (UPDI) and the risk of osteoporosis. A higher PDI was associated with higher bone mineral density (BMD) in older adults. In logistic regression models, the highest quartile of PDI and HPDI had a significantly lower risk of osteoporosis than the lowest quartile, whereas UPDI in the highest quartile was associated with a higher risk of osteoporosis. There was a dose-response relationship between the three indices and the risk of osteoporosis. Subgroup analysis revealed differences in the relationship between HPDI and the risk of osteoporosis according to gender and age. Older adults, especially women, consume more healthy plant foods and reduce the consumption of animal foods and unhealthy plant foods, which was associated with a lower risk of osteoporosis.

Food Advertisement and Dietary Choices in Adolescents: An Overview of Recent Studies.

Adolescents are exposed to food marketing through many routes, including television, movies, videos, print media, online games, and social media. The interplay between exposure to unhealthy food advertisements and food choices by adolescents is a field of special interest given the ongoing evolution of social media trends and marketing strategies. The purpose of this review was to synthesize the scientific findings in the last five years (2017-2022) regarding the possible influence of nutrition-related advertisements through television, social media, or video games on the choice and consumption of unhealthy foods and drinks in adolescents. Nineteen studies were included in this review. Adolescents exposed to unhealthy food and beverage advertising showed high desire and intention to consume the advertised foods, as evidenced by the majority of included studies. The effects of advertisements are reinforced by peer pressure and influencers and interact with socioeconomic, biological, and environmental factors. Food marketing represents part of the obesogenic environment of the present time.

Emotions and Food Consumption: Emotional Eating Behavior in a European Population.

Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07-1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40-1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58-1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36-1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54-1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10-1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19-1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21-1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.