This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in the United States between 2016 and 2018. In 2018, ***** percent of respondents in the United States stated they eat fast food less than once per week.

According to a survey on fast food conducted in Indonesia in February 2023, around ** percent of respondents stated that they ate fast food once a week. In comparison, *** percent of respondents said that they ate fast food more than ***** times a week.

This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in Japan between 2016 and 2018. In 2018, ***** percent of respondents in Japan stated they eat fast food less than once per week.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on caregiver report. A child is considered to have weekly fast food consumption if they eat any food, including meals and snacks, from a fast food restaurant, such as McDonald’s, Taco Bell, KFC, or another similar type of place at least 1 time per week.Fast food consumption is associated with increased intake of calories, fat, and sodium, as well as with poor diet quality in children and adolescents. Poor diet has contributed to our current obesity epidemic and is a major risk factor for heart disease, diabetes, cancer, and many other chronic health conditions.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

In a 2023 conducted survey among fast food consumers in Australia, just over ********* of respondents reported eating fast food at least once a week. Around ** percent of those surveyed said they get a meal deal with chips and a drink every time they eat at or order from a quick service restaurant (QSR).

This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in Australia between 2017 and 2018. In 2018, ***** percent of respondents in Australia stated they eat fast food less than once per week.

ABSTRACT This narrative literature review aimed to analyze the results of studies on the food intake of university students. A literature search was conducted in July 2014 and updated in July 2016 in the Scopus, MedLine/PubMed, and SciELO databases, using descriptors related to university students and food intake in English and Portuguese. Overall, 37 studies that analyzed university students’ food intake were included in this review, eight of which were conducted in Brazil. The results demonstrated that most university students have unhealthy eating behaviors, such as high intake of fast foods, snacks, sweets, soft drinks, and alcoholic beverages, and low intake of fruits, vegetables, fish, whole grains, and legumes. Undergraduate students of health sciences, such as nursing, nutrition, and medicine, did not have healthier diets. University students’ food intake was characterized as unhealthy, regardless of undergraduate program or sex, especially among students who left the parents’ home and became responsible for their own food. Therefore, there is a need of developing public policies that promote healthy eating habits among students, such as interventions to change their eating habits and increase their access to healthy foods at the university environment.

Data for Time Trends in Fast Food Consumption and Its Association with Obesity among Children in China

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The fast food market insights helps market vendors to identify the challenges that will affect the revenue of the market players and may hinder the growth of the fast food market during the forecast period.

the health concerns pertaining to the excessive consumption of fast foods will be one of the key challenges that the market vendors have to overcome during the forecast period. To gather more information regarding the market challenges, click here for a free sample report.

Cooks working in fast food restaurants in the United States had a median hourly wage of 14.50 U.S. dollars as of May 2024. Meanwhile, 10 percent of fast food cooks earned less than 10.76 U.S. dollars per hour.

According to a survey conducted in May 2023, ** percent of respondents confirmed that they consume fast food a few times a week. On the other hand, about ** percent of respondents claimed that they ate fast food every day.

The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR.

The current version, Survey-SR 2013-2014, is mainly based on the USDA National Nutrient Database for Standard Reference (SR) 28 (2) and contains sixty-six nutrientseach for 3,404 foods. These nutrient data will be used for assessing intake data from WWEIA, NHANES 2013-2014. Nutrient profiles were added for 265 new foods and updated for about 500 foods from the version used for the previous survey (WWEIA, NHANES 2011-12). New foods added include mainly commercially processed foods such as several gluten-free products, milk substitutes, sauces and condiments such as sriracha, pesto and wasabi, Greek yogurt, breakfast cereals, low-sodium meat products, whole grain pastas and baked products, and several beverages including bottled tea and coffee, coconut water, malt beverages, hard cider, fruit-flavored drinks, fortified fruit juices and fruit and/or vegetable smoothies. Several school lunch pizzas and chicken products, fast-food sandwiches, and new beef cuts were also added, as they are now reported more frequently by survey respondents. Nutrient profiles were updated for several commonly consumed foods such as cheddar, mozzarella and American cheese, ground beef, butter, and catsup. The changes in nutrient values may be due to reformulations in products, changes in the market shares of brands, or more accurate data. Examples of more accurate data include analytical data, market share data, and data from a nationally representative sample. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES 2013-14 (Survey SR 2013-14). File Name: SurveySR_2013_14 (1).zipResource Description: Access database downloaded on November 16, 2017. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR), October 2015. Resource Title: Data Dictionary. File Name: SurveySR_DD.pdf

ABSTRACT BACKGROUND: Access to food retailers is an environmental determinant that influences what people consume. This study aimed to test the association between the use of food outlets and schoolchildren’s intake of minimally processed and ultra-processed foods. DESIGN AND SETTING: This was a cross-sectional study conducted in public and private schools in Florianópolis, state of Santa Catarina, southern Brazil, from September 2012 to June 2013. METHODS: The sample consisted of randomly selected clusters of schoolchildren aged 7 to 14 years, who were attending 30 schools. Parents or guardians provided socioeconomic and demographic data and answered questions about use of food outlets. Dietary intake was surveyed using a dietary recall questionnaire based on the previous day’s intake. The foods or food groups were classified according to the level of processing. Negative binomial regression was used for data analysis. RESULTS: We included 2,195 schoolchildren in the study. We found that buying foods from snack bars or fast-food outlets was associated with the intake frequency of ultra-processed foods among 11-14 years old in an adjusted model (incidence rate ratio, IRR: 1.11; 95% confidence interval, CI: 1.01;1.23). Use of butchers was associated with the intake frequency of unprocessed/minimally processed foods among children 11-14 years old in the crude model (IRR: 1.11; 95% CI: 1.01;1.22) and in the adjusted model (IRR: 1.11; 95% CI: 1.06;1.17). CONCLUSIONS: Use of butchers was associated with higher intake of unprocessed/minimally processed foods while use of snack bars or fast-food outlets may have a negative impact on schoolchildren’s dietary habits.

According to a survey on the consumption of fast food among high school students in South Korea, around **** percent of the respondents stated that they consumed fast food frequently in 2024, meaning at least three times per week. The share of frequent fast food consumption among high schoolers slowly increased since 2016 and is now almost double that of 2015.

ABSTRACT: Introduction: Inadequate dietary patterns in childhood and adolescence are a major risk factor for the early onset of obesity and other chronic diseases. Objectives: To identify and to analyze dietary patterns among Brazilian adolescents. Methods: Data from the Brazilian National School Health Survey (PeNSE) of 2015 were used (n = 10,926 adolescents). The identification and analyses of dietary patterns were calculated using principal component analysis and linear regression, respectively. Results: Two dietary patterns were identified. The first one was characterized by the presence of markers of unhealthy eating, and the second one by markers of healthy eating. The adherence to the unhealthy pattern was positively associated with female adolescents, which mothers had completed, at least, the elementary school, residents in developed regions and urban areas, as well as those students who usually chose to skip breakfast, to not have meals with their parents/guardians, and who usually had meals while watching TV/studying, and at fast food restaurants. Discussion: Analyses of the consumption of isolated food groups, which do not consider the diet in all its complexity, have been insufficient in explaining the main outcomes of the public health nutrition area. Conclusion: Our findings contributed to the identification of the most vulnerable population groups to unhealthy dietary patterns and to the understanding of the coexistence of different food habit determinants among adolescents.

AbstractBackgroundIn Asia, little is known about how maternal feeding practices are associated with dietary intakes and body mass index (BMI) in preschoolers.ObjectiveTo assess the relationships between maternal feeding practices with dietary intakes and BMI in preschoolers in Asia using cross-sectional analysis in the GUSTO (Growing Up in Singapore Towards healthy Outcomes) cohort.Participant settingsMothers (n = 511) who completed the Comprehensive Feeding Practices Questionnaire (CFPQ) and a semi-quantitative Food Frequency Questionnaire (FFQ) when children were 5 years old.Statistical analysisAssociations between 12 maternal feeding practices (mean scores divided into tertiles) and children’s dietary intakes of seven food groups and BMI z-scores were examined using the general linear regression model. Weight and height of the child were measured, and dietary intakes derived from the FFQ.ResultsCompared to those in the low tertile, mothers in the high tertile of modelling healthy food intakes had children with higher intakes of vegetables[+20.0g/day (95%CI:11.6,29.5)] and wholegrains[+ 20.9g/day (9.67,31.1)] but lower intakes of sweet snacks[-10.1g/day (-16.3,-4.94)] and fast-foods[-5.84g/day (-10.2,-1.48)]. Conversely, children of mothers in the high tertile for allowing child control (lack of parental control) had lower intake of vegetables[-15.2g/day (-26.6,-5.21)] and wholegrains[-13.6g/day (-22.9,-5.27)], but higher intakes of sweet snacks[+13.7g/day (7.7, 19.8)] and fast-foods[+6.63g/day (3.55,9.72)]. In relation to BMI at 5 years, food restrictions for weight was associated with higher BMI z-scores [0.86SD (0.61,1.21)], while use of pressure was associated with lower BMI z-scores[-0.49SD(-0.78,-0.21)].Conclusions and implicationsModelling healthy food intakes by mothers was the key feeding practice associated with higher intakes of healthy foods and lower intakes of discretionary foods. The converse was true for allowing child control. Only food restrictions for weight and use of pressure were associated with BMI z-scores.

This page includes three data sets related to the paper corresponding to the site-level, child-level, and child-day-level data. There is information on dietary intake during snack, including total kcals, servings of fruits/veg, etc. from both program-provided and outside snacks for children observed in the Spring 2011 data collection for the OSNAP RCT in the child-day-level data. This data set was used to analyze whether having an outside snack was associated with a change in total kcal intake during the snack. In the site-level data there are two sets of variables at the site level for the Spring 2011 follow-up data collection for the OSNAP RCT; one set describes the mean nutrients served per snack per day in program-provided snacks (i.e., what would the nutritional profile of the snack had been if it were consumed as it was intended to be served, with a serving of all components consumed) and non-program snacks. The site-level data set was used to present the averages comparing the nutritional quality of NSLP/CACFP program-provided snacks versus non-program snacks as well as to examine whether the types of snacks at each site were significantly different (i.e. whether non-program snacks provided significantly more servings of foods with added sugars). Identification variables for merging data sets are 'siteid' and 'childid'.

ABSTRACT: Introduction: Despite the increased consumption of fruits and vegetables in the Brazilian population, a great proportion of people do not meet the recommendations. Purchasing sites associated with fruit and vegetable consumption has not been widely explored. Objective: To explore the association between fruit and vegetable purchasing and consumption sites and the consumption of these foods among adults living in the city of São Paulo, Brazil. Methods: Cross-sectional study with 2 thousand individuals living in the city of São Paulo, aged between 20 and 59 years, participants of the “Obesogenic Environment Study in São Paulo”. The outcome was fruit and vegetable consumption measured by weekly consumption. Exposure variables included purchasing sites (supermarkets, open-air food markets, fruit and vegetable specialized markets, and corner stores) and consumption sites (full service restaurants and fast food restaurants). Results: The sample comprises women (52.3%) aged between 25 and 34 years (30.2%), with at least 8 years of schooling (42.8%) receiving 2 to 5 minimum wages (34.6%). Demographic and socioeconomic variables showed association with regular consumption of fruits and vegetables (p < 0.05). The regular consumption of meals in full service restaurant was associated with vegetables consumption. The regular consumption of meals in fast-food restaurants was not associated with vegetables consumption. Food purchasing sites were not associated with fruit or vegetable consumption. Conclusion: The choice of restaurant type was associated with vegetable consumption. In the studied population, food purchasing sites were not associated with fruit or vegetable consumption.

The mean servings/times sugar-sweetened beverages consumed daily by California residents. These data are from the 2013 California Dietary Practices Surveys (CDPS), 2012 California Teen Eating, Exercise and Nutrition Survey (CalTEENS), and 2013 California Children’s Healthy Eating and Exercise Practices Survey (CalCHEEPS). These surveys are now discontinued. Adults, adolescents, and children (with parental assistance) were asked about the sugar-sweetened beverages they drank over the previous 24 hour period. Child/Adolescent: Fruit and vegetable, beverage, and junk food consumption, along with physical activity, sedentary time, active transport, sport participation, school environment, home neighborhood environment, fruit and vegetable access and availability, household/family rules, weight status, school breakfast/lunch participation, attitudes, and beliefs. Adult: Fruit and vegetable, beverage, and junk food consumption, along with physical activity, sedentary time, worksite environment, school environment, home neighborhood environment, fruit and vegetable access and availability, household/family rules, weight status and weight loss practices, and food security. According to the Dietary Guidelines for Americans, 2010, sugar-sweetened beverages provide excess calories and few essential nutrients to the diet and should only be consumed when nutrient needs have been met and without exceeding daily calorie limits.

This statistic shows the share of adults who consumed fast food in the United States from 2013 to 2016, by age group. During the period considered, **** percent of U.S. adults aged between 20 to 29 years old consumed fast food on a given day.