Fast food menu calorie labeling contexts as complex contributing factors to overeating.

The effectiveness of menu calorie labeling in limiting the amount of calories selected has been called into question since it was mandated within the Affordable Care Act. This study examined how contexts that are known to influence motivational and information processing might limit the effectiveness of calorie labeling in order to shed some light on the mixed findings in this area. An online experiment was conducted in which calorie labels were paired or not paired with visual cues in different motivational contexts: greater and lesser variety and energy density choices available. Results contribute to the general conclusion that calorie labels are not particularly effective. Specifically, the only context in which a calorie label succeeded in reducing calories selected was a high variety mix of low and high energy density foods with visual food cues present; however, this type of context elicited the greatest number of calories selected on average, even more than when only highly energy density items were present. The findings from this study add to the body of knowledge about the effectiveness of calorie labeling by defining some boundary conditions on whether and when the presence of calorie labels are likely to reduce caloric intake. This knowledge is helpful in furthering food selection and choice research, but also may help health practitioners design effective intervention strategies.

Measuring the impact of calorie labeling: The mechanisms behind changes in obesity.

Learning the true calorie content of fast food may induce consumers to change behavior, yet recent evidence is mixed on whether calorie labels cause consumers to order healthier meals. Especially for individuals for whom consumption of highly caloric fast-food is habitual, a rational response to calorie labeling may instead be to maintain consumption levels but increase physical activity. Using American Time Use Survey data from 2004 to 2012, we show that the 2008 New York City Calorie Labeling Mandate significantly improved several measures of physical activity, including overall metabolic equivalents of task units and minutes of sedentary activity. Our results translate to an average extra 28 calories burned per day or a 0.6 kg weight decrease for the average person over one year. These results provide a plausible mechanism for calorie labeling mandates to lower obesity rates, which we demonstrate in the New York City context.

The effect of presenting relative calorie information on calories ordered.

In this research, we tested the effect of a novel method of presenting calorie information-highlighting relative differences in calories among ingredients. We conducted an online hypothetical food choice experiment where 633 participants selected the ingredients for a sandwich from five categories: meat/protein, cheese, spread/dressing, bread, and vegetables. Each participant was randomly assigned to one of four calorie information conditions: 1) a condition in which no information about calories was provided, 2) a condition in which calorie information was provided for each ingredient, 3) a condition in which calorie information was presented relative to the highest calorie item, and 4) a condition in which calorie information was presented relative to the lowest calorie item. Participants in the high- and low-calorie reference conditions ordered between 32 and 36 fewer calories per sandwich than participants in the no-calorie information control condition (p ≤ 0.04). Calories ordered by participants in the per-item calorie condition were not significantly different than the control. Presenting relative calorie or other nutritional information to make health-related trade-offs more salient may guide consumers to make healthier choices.

Evaluation of the impact of calorie labeling on McDonald's restaurant menus: a natural experiment.

BACKGROUND: The long-term effect of calorie labeling on fast-food purchases is unclear. McDonald's voluntarily labeled its menus with calories in 2012, providing an opportunity to evaluate this initiative on purchases. METHODS: From 2010 to 2014, we collected receipts from and administered questionnaires to 2971 adults, 2164 adolescents, and 447 parents/guardians of school-age children during repeated visits to 82 restaurants, including McDonald's and five control chains that did not label menus over the study period in four New England cities. In 2018, we analyzed the data by using difference-in-differences analyses to estimate associations of calorie labeling with calories purchased (actual and estimated) and predicted probability of noticing calorie information on menus. RESULTS: Calorie labeling at McDonald's was not associated with changes in calories purchased in adults (change = - 19 cal pre- vs. post-labeling at McDonald's compared to control chains, 95% CI: - 112, 75), adolescents (change = - 49 cal, 95% CI: - 136, 38), or children (change = 13 cal, 95% CI: - 108, 135). Calorie labeling generally increased the predicted probability of noticing calorie information, but did not improve estimation of calories purchased. CONCLUSIONS: Calorie labeling at McDonald's was not associated with changes in calories purchased in adults, adolescents, or children. Although participants were more likely to notice calories on menus post-labeling, there was no improvement in ability to accurately estimate calories purchased.

Effect of calories-only vs physical activity calorie expenditure labeling on lunch calories purchased in worksite cafeterias.

BACKGROUND: Calorie labeling on restaurant menus is a public health strategy to guide consumer ordering behaviors, but effects on calories purchased have been minimal. Displaying labels communicating the physical activity required to burn calories may be a more effective approach, but real-world comparisons are needed. METHODS: In a quasi-experimental study, we examined the effect of physical activity calorie expenditure (PACE) food labels compared to calorie-only labels on point-of-decision food purchasing in three worksite cafeterias in North Carolina. After a year of quarterly baseline data collection, one cafeteria prominently displayed PACE labels, and two cafeterias prominently displayed calorie-only labels. Calories from foods purchased in the cafeteria during lunch were assessed over 2 weeks every 3 months for 2 years by photographs of meals. We compared differences in purchased calorie estimates before and after the labeling intervention was introduced using longitudinal generalized linear mixed model regressions that included a random intercept for each participant. RESULTS: In unadjusted models comparing average meal calories after vs before labeling, participants exposed to PACE labels purchased 40.4 fewer calories (P = 0.002), and participants exposed to calorie-only labels purchased 38.2 fewer calories (P = 0.0002). The small difference of 2 fewer calories purchased among participants exposed to PACE labeling vs calorie-only labeling was not significant (P = 0.90). Models adjusting for age, sex, race, occupation, numeracy level, and health literacy level did not change estimates appreciably. CONCLUSION: In this workplace cafeteria setting, PACE labeling was no more effective than calorie-only labeling in reducing lunchtime calories purchased.

Physical activity calorie expenditure (PACE) labels in worksite cafeterias: effects on physical activity.

BACKGROUND: Regular physical activity is an important component of healthy living and wellbeing. Current guidelines recommend that adults participate in at least 150 min of moderate or vigorous-intensity physical activity weekly. In spite of the benefits, just over half of U.S. adults meet these recommendations. Calorie-only food labels at points of food purchase have had limited success in motivating people to change eating behaviors and increase physical activity. One new point of purchase approach to promote healthy behaviors is the addition of food labels that display the physical activity requirement needed to burn the calories in a food item (e.g. walk 15 min). METHODS: The Physical Activity Calorie Expenditure (PACE) Study compared activity-based calorie-expenditure food labels with calorie-only labels at three Blue Cross and Blue Shield of North Carolina worksite cafeterias. After 1 year of baseline data collection, one cafeteria had food items labeled with PACE labels, two others had calorie-only food labels. Cohort participants were asked to wear an accelerometer and complete a self-report activity questionnaire on two occasions during the baseline year and twice during the intervention year. RESULTS: A total of 366 study participants were included in the analysis. In the PACE-label group, self-reported physical activity increased by 13-26% compared to the calorie-only label group. Moderate-to-vigorous physical activity (MVPA) increased by 24 min per week in the PACE-label group compared to the calorie-label group (p = 0.06). Changes in accelerometer measured steps, sedentary time, and MVPA had modest increases. Change ranged from 1 to 12% with effect size values from 0.08 to 0.15. Baseline physical activity level significantly moderated the intervention effects for all physical activity outcomes. Participants in both label groups starting in the lowest tertile of activity saw the largest increase in their physical activity. CONCLUSION: Results suggest small positive effects for the PACE labels on self-reported and objective physical activity measures. Minutes of weekly MVPA, strength training, and exercise activities showed modest increases. These results suggest that calorie-expenditure food labels may result in some limited increases in physical activity.

Cognitive aids and food choice: Real-time calorie counters reduce calories ordered and correct biases in calorie estimates.

Studies of the effect of calorie information on food choices in food-away-from-home settings have identified minor to insignificant changes in calories ordered. An element of the choice process that may play an important role in influencing the total caloric content of a meal has received little attention: how individuals track the total number of calories selected when choosing multiple items. We study the effects of automating this potentially costly cognitive process using technology. We compare the number of calories ordered in a sequential food choice task in two conditions: one in which participants have access to calorie information for all options available and a second in which they are also exposed to automatically updating information about the number of calories they have ordered. Participants with access to calorie summation ordered significantly fewer calories than those without access to calorie summation. Participants without access to calorie summation significantly underestimated the number of calories they had ordered, while those in the calorie summation condition did not. The calorie summation seems to work in part through adjustment of sequential choices: calories ordered in the first choice category were very similar in the two conditions but diverged increasingly in later categories. Technologies that help individuals keep track of the nutritional consequences of cumulative choices may help promote healthier diets.

Calorie Labeling Promotes Dietary Self-Control by Shifting the Temporal Dynamics of Health- and Taste-Attribute Integration in Overweight Individuals.

Understanding why people make unhealthy food choices and how to promote healthier choices is critical to prevent obesity. Unhealthy food choices may occur when individuals fail to consider health attributes as quickly as taste attributes in their decisions, and this bias may be modifiable by health-related external cues. One hundred seventy-eight participants performed a mouse-tracking food-choice task with and without calorie information. With the addition of calorie information, participants made healthier choices. Without calorie information, the initial integration of health attributes in overweight individuals' decisions was about 230 ms delayed relative to the taste attributes, but calorie labeling promoted healthier choices by speeding up the integration of health attributes during a food-choice task. Our study suggests that obesogenic choices are related to the relative speed with which taste and health attributes are integrated into the decision process and that this bias is modifiable by external health-related cues.

Physical activity equivalent labeling vs. calorie labeling: a systematic review and meta-analysis.

BACKGROUND: Many countries are trying to identify strategies to control obesity. Nutrition labeling is a policy that could lead to healthy food choices by providing information to consumers. Calorie labeling, for example, could lead to consumers choosing lower calorie foods. However, its effectiveness has been limited. Recently, physical activity equivalent labeling (i.e., displaying calories in terms of estimated amount of physical activity to burn calories) has been proposed as an alternative to the calorie-only label. The aim of this review was to identify and evaluate the published literature comparing effects on health behavior between physical activity equivalent labeling and calorie-only labeling. METHOD: We searched the following databases: Pubmed/medline, Scopus, Web of science, Agris, Cochrane library, Google Scholar. We also searched along with reference lists of included articles. Articles that were published between 1 January 2000 and 31 October 2016 were eligible for inclusion provided they reported on studies that examined the effects of both types of labeling and included at least one outcome of interest. Mean and standard deviations of the included results were combined using a fixed-effect model. The difference in calories purchased between people exposed to physical activity labeling and calorie-only labeling was calculated as weighted mean difference by using a fixed-effect model. RESULT: The difference of calories ordered between physical activity label and calorie label groups was not statistically significant (SMD: -0.03; 95% CI: -0.13, 0.07). The difference of calories ordered between physical activity label and calorie label according to real vs unreal (e.g. web-based) condition was 65 Kcal fewer in real-world settings. CONCLUSION: Physical activity calorie equivalent labeling in minutes does not significantly reduce calories ordered compared to calorie-only labeling.

Restaurant menu labeling laws and alcohol use.

The goal of this study was to analyze the effect of local and state mandatory restaurant menu labeling laws on alcohol use. Using a difference-in-differences estimation approach and data on adults aged 21 and older (n=2,157,722) from the 2002-2012 Behavioral Risk Factor Surveillance System, we estimated the effect of menu labeling laws on self-reported consumption of alcoholic beverages in the past month. The regression analysis indicates that on average implementation of menu labeling laws is associated with a 1.2 percentage-point drop in the fraction of survey respondents reporting that they drank an alcoholic beverage in the past month (95% confidence interval=-0.020, -0.004), compared with jurisdictions that had not implemented menu labeling laws. Moreover, we find that the estimated policy effects on alcohol use are larger among men than among women and larger among minorities than among non-Hispanic whites. Further provision of calorie information on foods and beverages in food service establishments, such as through federal menu labeling regulations, may have the potential to lead to a meaningful reduction in alcohol use throughout the U.S. and may result in larger reductions in alcohol use among men and minorities.

Calorie Labeling in Chain Restaurants and Body Weight: Evidence from New York.

This study analyzes the impact of local mandatory calorie labeling laws implemented by New York jurisdictions on body weight. The analysis indicates that on average the point-of-purchase provision of calorie information on chain restaurant menus reduced body mass index (BMI) by 1.5% and lowered the risk of obesity by 12%. Quantile regression results indicate that calorie labeling has similar impacts across the BMI distribution. An analysis of heterogeneity suggests that calorie labeling has a larger impact on the body weight of lower income individuals, especially lower income minorities. The estimated impacts of calorie labeling on physical activity, smoking, and the consumption of alcoholic beverages, fruits, and vegetables are small in magnitude, which suggests that other margins of adjustment drive the body-weight impacts estimated here. Copyright © 2016 John Wiley & Sons, Ltd.

Effects of physical activity calorie expenditure (PACE) labeling: study design and baseline sample characteristics.

BACKGROUND: Obesity and physical inactivity are responsible for more than 365,000 deaths per year and contribute substantially to rising healthcare costs in the US, making clear the need for effective public health interventions. Calorie labeling on menus has been implemented to guide consumer ordering behaviors, but effects on calories purchased has been minimal. METHODS: In this project, we tested the effect of physical activity calorie expenditure (PACE) food labels on actual point-of-decision food purchasing behavior as well as physical activity. Using a two-group interrupted time series cohort study design in three worksite cafeterias, one cafeteria was assigned to the intervention condition, and the other two served as controls. Calories from food purchased in the cafeteria were assessed by photographs of meals (accompanied by notes made on-site) using a standardized calorie database and portion size-estimation protocol. Primary outcomes will be average calories purchased and minutes of moderate to vigorous physical activity (MVPA) by individuals in the cohorts. We will compare pre-post changes in study outcomes between study groups using piecewise generalized linear mixed model regressions (segmented regressions) with a single change point in our interrupted time-series study. The results of this project will provide evidence of the effectiveness of worksite cafeteria menu labeling, which could potentially inform policy intervention approaches. DISCUSSION: Labels that convey information in a more readily understandable manner may be more effective at motivating behavior change. Strengths of this study include its cohort design and its robust data capture methods using food photographs and accelerometry.

Half-size me? How calorie and price information influence ordering on restaurant menus with both half and full entrée portion sizes.

Many restaurants are increasingly required to display calorie information on their menus. We present a study examining how consumers' food choices are affected by the presence of calorie information on restaurant menus. However, unlike prior research on this topic, we focus on the effect of calorie information on food choices made from a menu that contains both full size portions and half size portions of entrées. This different focus is important because many restaurants increasingly provide more than one portion size option per entrée. Additionally, we examine whether the impact of calorie information differs depending on whether full portions are cheaper per unit than half portions (non-linear pricing) or whether they have a similar per unit price (linear pricing). We find that when linear pricing is used, calorie information leads people to order fewer calories. This decrease occurs as people switch from unhealthy full sized portions to healthy full sized portions, not to unhealthy half sized portions. In contrast, when non-linear pricing is used, calorie information has no impact on calories selected. Considering the impact of calorie information on consumers' choices from menus with more than one entrée portion size option is increasingly important given restaurant and legislative trends, and the present research demonstrates that calorie information and pricing scheme may interact to affect choices from such menus.

Who reports noticing and using calorie information posted on fast food restaurant menus?

OBJECTIVE: Identify consumer characteristics that predict seeing and using calorie information on fast food menu boards. METHODS: Two separate data collection methods were used in Philadelphia during June 2010, several weeks after calorie labeling legislation went into effect: (1) point-of-purchase survey and receipt collection conducted outside fast food restaurants (N = 669) and (2) a random digit dial telephone survey (N = 702). Logistic regressions were used to predict the odds of reporting seeing, and of reporting seeing and being influenced by posted calorie information. RESULTS: Approximately 35.1% of point-of-purchase and 65.7% of telephone survey respondents reported seeing posted calorie information, 11.8% and 41.7%, respectively, reported that the labels influenced their purchasing decisions, and 8.4% and 17% reported they were influenced in a healthful direction. BMI, education, income, gender, consumer preferences, restaurant chain, and frequency of visiting fast food restaurants were associated with heterogeneity in the likelihood of reporting seeing and reporting seeing and using calorie labels. CONCLUSION: Demographic characteristics and consumer preferences are important determinants in the use of posted calorie information. Future work should consider the types of consumers this information is intended for, and how to effectively reach them.

A Survey on the Knowledge, Attitude, and Practice of Students at Jazan University Regarding Calorie Menu Labeling in Restaurants and a Literature Review.

BACKGROUND: The global rise in obesity and related health complications has cast a spotlight on the urgent need for initiatives that promote informed dietary decisions. This cross-sectional study investigates the knowledge, attitudes, and practices of university students at Jazan University, Saudi Arabia, regarding menu calorie labeling. The study examines how these variables may affect dietary decisions, body mass index (BMI), and support for proposed legislative measures requiring calorie disclosure on restaurant menus. METHODS: The study included 581 Saudi university students who were 18 years of age or older as a convenience sample. A three-part questionnaire that asked about demographics, anthropometric measurements, and attitudes and behaviors related to calorie counting was completed by the participants. Using the Statistical Product and Service Solutions (SPSS, version 25.0; IBM SPSS Statistics for Windows, Armonk, NY) program, chi-square, t-tests, and ANOVA tests were used to evaluate the data. Both informed consent and ethical approval were obtained. RESULTS: The study finds that, even while more than half of the participants knew their recommended daily calorie intake and exhibited curiosity about calorie information on menus, this knowledge did not always result in healthy eating habits. Participants' opinions and behaviors regarding calorie labeling were significantly correlated with their BMI levels, indicating the importance of education in promoting nutritional awareness and healthy eating habits. New calorie labeling regulations received higher approval from people who regularly ate out. CONCLUSION: This study emphasizes the necessity of comprehensive nutritional education initiatives to raise calorie knowledge and encourage Saudi Arabian university students to make healthier eating choices. It also emphasizes the possible effects of legislative measures requiring calorie information on menus, particularly among regular diners. However, while evaluating the results, it is important to take into account the study's limitations, including self-reported data and convenience sample. To support menu calorie labeling legislation and inform targeted public health interventions for university students' eating behaviors, more research that takes cultural quirks and regional settings into account is necessary.

Assessing public perception and awareness of UK mandatory calorie labeling in the out-of-home sector: Using Twitter and Google trends data.

Objectives: In 2021 the UK government announced a new obesity policy requiring large out-of-home food outlets to provide mandatory in-store calorie labeling on food and drink items. Public acceptability and engagement with obesity policies could influence the level of impact on wider public health particularly with population-level policies such as calorie labeling. This study aimed to examine public responses and awareness of the policy using social media (Twitter) comments and Google trends data. Methods: This study examined responses to social media posts on Twitter (tweets) from the UK Department of Health and Social Care detailing the policy, implementation date and post-implementation information about the policy's enforcement. The sentiments of the tweets were coded and the number of likes and replies extracted. This study utilized google trends to examine public awareness of the policy by extracting weekly relative search volume for relevant phrases such as "calorie labeling." Results: From the 276 replies/quote-tweet extracted, the majority expressed a negative sentiment toward the policy (N = 197/71.4%). There were fewer tweets expressing a positive sentiment (N = 25/8.7%) and a neutral/no sentiment (N = 54/19.6%). There was no difference in the number of "likes" or retweets between tweets expressing positive or negative sentiments. Five themes were identified expressing negative sentiments (most common being negative impacts on eating disorders). Google trends data revealed increased searches for "calorie labels/labeling" during the week of the policy enforcement compared to previous weeks in the last 5 years but no significant differences in searches for specific menu calorie labeling. Conclusions: This analysis revealed negative sentiment toward and increased searching of calorie labeling information during the announcement and implementation of the 2021 mandatory calorie labeling policy in England. A greater understanding of public responses to calorie labeling policies may help tailor future policies and public communication strategies.

A Cross-Sectional Study of Gender Differences in Calorie Labeling Policy among Students: Dietary Habits, Nutritional Knowledge and Awareness.

Calorie labels may be the most important predictor of dietary choices among college students. The Saudi Food and Drug Authority (SFDA) has imposed calorie labels on the menus of restaurants and cafes. The current study looked at how the calorie labeling policy affects Saudi male and female students' dietary habits, nutritional knowledge, and awareness. The study included 802 students (360 males and 442 females) from Saudi Arabia's King Saud University, ranging between 18 and 35 years. Between December 2020 and October 2021, a cross-sectional, electronic, approved and validated survey was conducted to collect data on gender socio-demographic variables, food habits, and nutritional knowledge and awareness, in accordance with the food policy stated. The collected data were analyzed using descriptive statistical analysis. The Likert scale was used to determine the level of awareness and the food habit scores, and the Mann-Whitney U-test was used to determine the differences between the males and females. Spearman's correlation coefficient and simple regression analysis were performed to determine the association between the demographic factors and nutritional knowledge and the awareness of males and females. The results demonstrated that, with the exception of living situations, males and females differed significantly (p ≤ 0.01) in their socio-demographic characteristics. When asked about their food habits after the implementation of calorie labeling, the majority of respondents (>50%) gave negative responses, with a significant difference observed between maintaining body weight (p ≤ 0.05) and gaining weight (p ≤ 0.01). According to the Likert scale, there was a significant difference between males and females in terms of knowledge (p ≤ 0.01) and awareness (p ≤ 0.05). An average of 80.53% of males had very high knowledge (4.07) and 65.65% had medium level (3.24) awareness of calorie labeling, while 83.73% of females had very high knowledge (4.17) and 66.50% had medium level (3.32) awareness of calorie labeling. The socio-demographic and lifestyle variables were significantly and positively or negatively associated with calorie label utilization and varied between respondents, according to the Spearman correlation coefficients (r) and simple linear regression analysis. The number of factors that negatively impacted the males' knowledge and awareness was greater than that of the females. In conclusion, among college students, there were numerous gender differences in the demographic and social characteristics. The respondents' knowledge was insufficient, with females outperforming males.

Developing Effective Strategies for Obesity Prevention.

Nutrition policies can work with clinical treatments to address the obesity epidemic. The United States has passed beverage taxes at the local level and calorie labeling mandates at the federal level to encourage healthier consumption. Nutritional changes to federal nutrition programs have been either implemented or suggested; evidence shows that the changes that have been implemented have resulted in improvements in diet quality and are cost-effective in decreasing the increase in obesity prevalence. A comprehensive policy agenda that addresses risk of obesity on multiple levels of the food supply will have meaningful long-term effects on obesity prevalence.

Consumers' Knowledge, Attitudes, and Practices Toward Calorie Labeling in Riyadh City, Saudi Arabia: A Cross-Sectional Assessment.

Background: Menu calorie labeling is a useful means to encourage consumers to be informed about healthy eating and food choices. It is projected as an innovative method that will change the food environment and increases consumers' awareness of calories. Objective: This study aims to determine the consumer's knowledge, attitudes, and practices toward menu calorie labeling in Saudi Arabia. Methods: This is a descriptive cross-sectional study involving 435 consumers in Saudi Arabia. The participants filled out an online electronic survey questionnaire that assesses the demographic factors, knowledge, attitudes, practices, and barriers toward menu calorie labeling. Logistic regression was performed to determine the predictor of attitudes of consumers toward menu calorie labeling. Results: Of those 435 consumers, 50.1% were men, 33% were in the age group of 30-39, and 49.4% had a bachelor's degree. The majority of the participants reported that they can understand the calorie labels that were presented on the menus of the restaurants (N = 365, 83.9%). A high percentage of participants reported that calorie labeling encourages them to choose foods with a smaller number of calories (N = 387, 89%) and supported the posting of calorie content next to the price of the food items on the menus (N = 405, 93.1%). Barriers to using calorie labels were time-consuming and low-calorie food items are usually costly. Gender and educational attainment were found significantly associated with consumers' knowledge while marital status and BMI level were found significantly associated with attitudes and practices to using calorie labels (p < 0.05). Conclusion: Overall, the participants had adequate knowledge and positive attitudes about menu calorie labeling in Saudi Arabia. Menu calorie labeling may be a useful policy tool for promoting healthy eating habits and appropriate caloric consumption.

Nutrition Knowledge, Dietary Habits, and Food Labels Use-A Representative Cross-Sectional Survey among Adults in Poland.

An unhealthy diet is an important risk factor for disability and premature death. This study aimed to assess nutrition knowledge, dietary habits, and food label use among adults in Poland as well as to identify factors associated with diet-related behaviors. A cross-sectional survey was carried out in July 2020 on a non-probability quota-based sample of 1070 adult citizens of Poland. The most common sources of nutrition knowledge were news websites (41.8%) or family/friends (32.4%). Over one-quarter of adults in Poland were on a diet (28.7%). Over one-tenth of respondents (11.9%) consumed less than three meals per day. Half of the respondents (50.3%) declared that they use food labels when shopping, and 15.4% checked the nutrition information on restaurant menus. Female gender (OR:1.70; 95%CI:1.26-2.29; p < 0.001), presence of chronic diseases (OR:1.83; 95%CI:1.37-2.44; p < 0.001), regular physical activity (p < 0.001), and being a non-smoker (OR:1.45; 95%CI:1.02-2.06; p = 0.04) were significantly associated with higher odds of being on a diet. Females (OR:1.63; 95%CI:1.24-2.15; p < 0.001), respondents with higher education (OR:1.53; 95%CI:1.17-2.01; p = 0.002), those who had never been married (OR:1.49; 95%CI:1.07-2.07; p = 0.02), respondents with chronic diseases (OR:1.73; 95%CI:1.30-2.31; p < 0.001), those with regular physical activity (p < 0.05), as well as non-smokers (OR:1.42; 95%CI:1.04-1.95; p = 0.03) had higher odds of checking the food labels. This study showed a significant gap in nutrition knowledge among adults in Poland.