Around ***** million people in Germany were especially interested in healthy eating and a healthy lifestyle as of 2024, in a population of roughly ** million. Figures for this category did not change noticeably during the timeline shown on the graph. In fact, the distribution between the different answers to the corresponding survey remained similar. The Allensbach Market and Advertising Media Analysis (Allensbacher Markt- und Werbeträgeranalyse or AWA in German) determines attitudes, consumer habits and media usage of the population in Germany on a broad statistical basis. Food, drink and cigarettes Despite the availability of constantly expanding information on what consumers can do to stay healthy, everyone’s understanding of this still differs. Personal preferences and circumstances play a role in decision-making and motivation. While most people may indeed want to eat healthy and lead the accompanying lifestyle, they cannot always afford to, literally. Rising food prices in recent years have put a strain on households, with product categories across the board recording significant increases. In fact, to make an example of foods typically associated with healthy eating, vegetable prices increased by around **** percent, while fruit prices grew by roughly *** percent. All the same, a recent survey on health-conscious behavior revealed encouraging results. Around ** percent of respondents stated they did not smoke, and ** percent did not drink excessively. Making a move With movement and exercise being vital parts of leading a healthy lifestyle, it is interesting to see which types of sports Germans prefer. Based on a survey published in 2024, fitness studios had around **** million members and were in the lead. Other leading types of physical activity pursued included soccer, gymnastics and tennis. These are all activities that require additional spending, as they usually include going to a particular venue and using specific equipment, as well as working with a trainer. There are, of course, “free” types of exercise that contribute positively to leading a healthy life, such as walking and cycling. Both can be a regular part of daily routines and commutes, without extra planning. Especially when it comes to shorter distances, cycling to work, school or university is a popular alternative to using the car or public transport for many Germans.

The share of American millennials that followed a specific eating pattern or diet increased by *** percent since 2023. Almost ********** of surveyed respondents in this age group stated that they followed an eating pattern or diet in the past year, in 2024.

Diets by age groups in the U.S.

Although many Americans follow diets, there are notable differences across the various age groups when it comes to following a diet. The general trend in the U.S. is that the proportion of consumers who follow a diet, declines as age increases. Among those aged between 18 and 34, almost ************** of Americans follow a diet, compared to only ** percent among those aged 65 and older. A similar pattern can be detected among those who follow a vegetarian diet. While the share of vegetarians among those under 40 is about ***** percent, the share declines as the age groups increase. Among those older than 50, only *** percent are vegetarians. This pattern is also evident among consumers who follow a gluten-free diet.

Motivations to follow a diet in the U.S. The top motivations for U.S. consumers to follow a specific diet are wanting to feel better and wanting to have more energy. Losing weight, trying to improve the physical appearance, and wanting to protect long-term health are also among the most common motivations. The leading reason to follow a vegan or vegetarian diet in the U.S. is animal welfare, as stated by about ** percent of consumers who follow such diets. Wanting to reduce or limit one's environmental impact is also among the top reasons. In comparison, consumers who had never followed a vegetarian diet cite health benefits to be the most compelling reasons why they might consider becoming a vegetarian. Weight management was the second most frequently chosen reason.

The Eating & Health (EH) Module of the American Time Use Survey (ATUS) collects data to analyze relationships among time use patterns and eating patterns, nutrition, and obesity; food and nutrition assistance programs; and grocery shopping and meal preparation.

According to a survey in Malaysia conducted in December 2018, 39 percent of respondents claimed that they ate healthy foods most of the time. Malaysia has one of the highest rates of obesity in Asia, and has recently introduced a sugar tax in 2019 to combat obesity.

In 2023, the global functional and natural health food market was valued at 23.5 billion U.S. dollars and is projected to increase to 38.5 billion U.S. dollars by 2033.

Superfoods The term “superfoods” has been used to describe nutritionally dense foods, or foods that are especially high in essential nutrients. A few common examples of superfoods include salmon, kale, blueberries, and quinoa. Between 2016 and 2017, retail sales of quinoa grew by 15.6 percent in the United States, as its health benefits became more well known. Chia seeds, another popular superfood, saw a 14.7 percent increase in retail sales in that time period.

Healthy eating behavior in North America American consumers have tried a wide variety of different diet and lifestyle changes in order to improve their health, the most common of which involved increasing water intake, making small changes in one’s diet, and eating more fruits and vegetables. The top motivating factor for these eating habit changes was weight loss, followed by preventing future health conditions. When Canadian consumers were surveyed what they believed a healthy meal consisted of, more than half responded that more fruits and vegetables made a meal healthier.

Explore World Bank Health, Nutrition and Population Statistics dataset featuring a wide range of indicators such as School enrollment, UHC service coverage index, Fertility rate, and more from countries like Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

School enrollment, tertiary, UHC service coverage index, Wanted fertility rate, People with basic handwashing facilities, urban population, Rural population, AIDS estimated deaths, Domestic private health expenditure, Fertility rate, Domestic general government health expenditure, Age dependency ratio, Postnatal care coverage, People using safely managed drinking water services, Unemployment, Lifetime risk of maternal death, External health expenditure, Population growth, Completeness of birth registration, Urban poverty headcount ratio, Prevalence of undernourishment, People using at least basic sanitation services, Prevalence of current tobacco use, Urban poverty headcount ratio, Tuberculosis treatment success rate, Low-birthweight babies, Female headed households, Completeness of birth registration, Urban population growth, Antiretroviral therapy coverage, Labor force, and more.

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

This study is the fourth in a series that uses the National Health and Nutrition Examination Survey data to examine the relationship between SNAP participation and indicators of diet quality, nutrition, and health. As in previous studies, this study compares SNAP participants with income-eligible and higher income nonparticipants, by age and gender.

Analysis of ‘COVID-19 Healthy Diet Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mariaren/covid19-healthy-diet-dataset on 28 January 2022.

--- Dataset description provided by original source is as follows ---

“Health requires healthy food."

Roger Williams (1603 – 1683)

In the past couple months, we’ve witnessed doctors, nurses, paramedics and thousands of medical workers putting their lives on the frontline to save patients who are infected. And as the battle with COVID-19 continues, we should all ask ourselves – What should we do to help out? What can we do to protect our loved ones, those who sacrifice for us, and ourselves from this pandemic?
These questions all relate back to the CORD-19 Open Research Dataset Challenge Task Question: “What do we know about non-pharmaceutical interventions?”
And my simple answer is : We need to protect our families and our own healths by adapting to a healthy diet.

Inspiration and Research Objectives

The USDA Center for Nutrition Policy and Promotion recommends a very simple daily diet intake guideline: 30% grains, 40% vegetables, 10% fruits, and 20% protein, but are we really eating in the healthy eating style recommended by these food divisions and balances?
In this dataset, I have combined data of different types of food, world population obesity and undernourished rate, and global COVID-19 cases count from around the world in order to learn more about how a healthy eating style could help combat the Corona Virus. And from the dataset, we can gather information regarding diet patterns from countries with lower COVID infection rate, and adjust our own diet accordingly.
In each of the 4 datasets below, I have calculated fat quantity, energy intake (kcal), food supply quantity (kg), and protein for different categories of food (all calculated as percentage of total intake amount). I've also added on the obesity and undernourished rate (also in percentage) for comparison. The end of the datasets also included the most up to date confirmed/deaths/recovered/active cases (also in percentage of current population for each country).

Acknowledgements

• Data for different food group supply quantities, nutrition values, obesity, and undernourished percentages are obtained from Food and Agriculture Organization of the United Nations FAO website To see the specific types of food included in each category from the FAO data, take a look at the last dataset Supply_Food_Data_Description.csv.

• Data for population count for each country comes from Population Reference Bureau PRB website

• Data for COVID-19 confirmed, deaths, recovered and active cases are obtained from Johns Hopkins Center for Systems Science and Engineering CSSE website

• The USDA Center for Nutrition Policy and Promotion diet intake guideline information can be found in ChooseMyPlate.gov

Note: I will update and push new versions of the datasets weekly. (Current version include COVID data from the week of 02/06/2021) Click here to see my data cleaning/preprocessing code in R

If you like this dataset, please don't forget to give me an upvote! 👍

--- Original source retains full ownership of the source dataset ---

This table contains data on the modified retail food environment index for California, its regions, counties, cities, towns, and census tracts. An adequate, nutritious diet is a necessity at all stages of life. Pregnant women and their developing babies, children, adolescents, adults, and older adults depend on adequate nutrition for optimum development and maintenance of health and functioning. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type-2 diabetes, and anemia. Peoples’ food choices and their likelihood of being overweight or obese are also influenced by their food environment: the foods available in their neighborhoods including stores, restaurants, schools, and worksites. The modified retail food environment index table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf The format of the modified retail food environment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

ABSTRACT Objective: Identify and analyze the scientific literature on digital technologies for promotion of healthy eating habits in teenagers. Method: Integrative review of articles published in English and Spanish, available in full on four databases. The descriptors used were (Adolescent health) OR (Teen health) AND (Healthy diet) OR (Healthy eating) AND (Educational technology) OR (Instructional technology), respectively, from which eight articles were selected. Results: Among the studies included, three were digital games; two web-based nutrition interventions; two using online programs to prevent obesity; and one nutritional advice using multimedia. They showed experiences of digital technology and its effects on knowledge improvement and/or behavior of participants when developing healthy eating habits. Conclusion: Digital technologies are innovative tools present in the lives of teenagers, with the possibility of being used for education and promotion of healthy eating, contributing to the empowerment of the subject for his/her self-care.

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

The Healthy Eating Index (HEI) is a measure of diet quality that assesses conformance to the Dietary Guidelines for Americans. USDA’s (United States Department of Agriculture) primary use of the HEI is to monitor the diet quality of the U.S. population and the low-income subpopulation. For this purpose the Center for Nutrition Policy and Promotion (CNPP) uses the data collected via 24-hour dietary recalls in national surveys.

Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status. The CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.

IntroductionNutrition plays a crucial role in current German public health strategies. While sociodemographic differences in nutrition have been extensively studied, recent data specific to Germany remains limited.MethodsAn online-representative cross-sectional survey was conducted in 2022 among German-speaking adults aged 18–75 using a Computer Assisted Web Interview (CAWI) format. The survey addressed personal eating habits, the importance of nutrition, motivations behind food choices, and openness to dietary changes. Data analysis included both descriptive and inferential statistics, incorporating CHAID decision tree analysis and nonparametric methods for inductive statistical evaluation.ResultsAmong the 4,065 participants, 62.3% regarded healthy nutrition as important, with women, individuals with higher education, and those aged under 26 or over 70 demonstrating greater emphasis on nutrition. CHAID analysis identified education as the most significant predictor of attitudes toward healthy nutrition, followed by sex and income. Participants with a positive attitude toward healthy nutrition reported higher HRQoL scores (EQ-Index = 0.862) compared to neutral or negative attitudes (EQ-Index = 0.835)0.10.5% of participants reported not to eat meat, 28.6% were self-reported flexitarians and 54.1% of participants considered themselves omnivorous. Gender-specific dietary preferences were observed, with plant-based diets being much more popular among females. Participants identified taste preference as the primary factor influencing food choices (77.2%) when asked about the main reasons for their eating habits. Approximately 18% of participants predominantly or exclusively bought organic foods. Interestingly, one third of participants indicated a willingness to adopt a more plant-based diet if recommended by physicians or scientists.ConclusionThis online representative survey revealed significant associations between nutrition and sociodemographic aspects. Understanding this complex interplay might be useful for public health nutrition strategies that promote healthier national eating patterns.

Abstract The scope of this study is to analyze the relationship between self-perception of eating habits and observance of the Ten Steps to Adequate and Healthy Eating among university students in Porto Alegre/RS. An online questionnaire was applied to students at a private university in Porto Alegre. Personal information, anthropometric data and eating behavior of the participants were collected. Data were analyzed by frequency and proportion, and statistical associations using Pearson’s Chi-square and the linear trend test, adopting a significance level of 5%, using version 23.0 of the SPSS statistical program. The sample consisted of 357 students, 61.3% of which were female, between 20 and 29 years of age (56%). A total of 34.2% of the students were overweight and 55.5% did not consider they had healthy eating habits. Low observance was observed in eight of the Ten Steps to Adequate and Healthy Eating A review of healthy eating revealed an inverse relationship with observance of the guideline steps, since only 3 steps were followed by more than 60% of the students who evaluated their own eating habits positively. This result suggests that this population may have a distorted view of their own eating habits and need to be enlightened regarding adequate and healthy eating.

This statistic shows the results of a survey in which U.S. parents were asked how they promote healthy eating habits in their children. The most common strategies include limiting junk food and limiting fast food, with 21 percent of parents employing each strategy to help their children maintain a healthy diet.

Food nourishes the body and gives us energy to get through each day. Healthy eating is fundamental to good health and is a key element in healthy human development, from the prenatal and early childhood years to later life stages.

This table contains data on the average cost of a market basket of nutritious food items relative to income for female-headed households with children, for California, its regions, counties, and cities/towns. The ratio uses data from the U.S. Department of Agriculture and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. An adequate, nutritious diet is a necessity at all stages of life. Inadequate diets can impair intellectual performance and have been linked to more frequent school absence and poorer educational achievement in children. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type 2 diabetes, and anemia. At least two factors influence the affordability of food and the dietary choices of families – the cost of food and family income. The inability to afford food is a major factor in food insecurity, which has a spectrum of effects including anxiety over food sufficiency or food shortages; reduced quality or desirability of diet; and disrupted eating patterns and reduced food intake. More information about the data table and a data dictionary can be found in the Attachments.

What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. For each 2-year data release cycle, the following dietary intake data files are available: Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food. Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only). DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes. Resources in this dataset:Resource Title: What We Eat In America (WWEIA) main web page. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/ Contains data tables, research articles, documentation data sets and more information about the WWEIA program. (Link updated 05/13/2020)

The National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) began in 2008 and is designed to assess the diet, nutrient intake and nutritional status of the general population aged 1.5 years and over living in private households in the UK. (For details of the previous NDNS series, which began in 1992, see the documentation for studies 3481, 4036, 4243 and 5140.)

The programme is funded by Public Health England (PHE), an executive agency of the Department of Health, and the UK Food Standards Agency (FSA).

The NDNS RP is currently carried out by a consortium comprising NatCen Social Research (NatCen) (NatCen, contract lead) and the MRC Epidemiology Unit, University of Cambridge (scientific lead). The MRC Epidemiology Unit joined the consortium in November 2017. Until December 2018, the consortium included the MRC Elsie Widdowson Laboratory, Cambridge (former scientific lead). In Years 1 to 5 (2008/09 – 2012/13) the consortium also included the University College London Medical School (UCL).

Survey activities at the MRC Epidemiology Unit are delivered with the support of the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (IS-BRC-1215- 20014), comprising the NIHR BRC Nutritional Biomarker Laboratory and NIHR BRC Dietary Assessment and Physical Activity Group. The NIHR Cambridge Biomedical Research Centre is a partnership between Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge, funded by the NIHR.

Further information is available from the gov.uk National Diet and Nutrition Survey webpage.

The survey of young people aged 4 to 18 years aimed to collect data on diet through a questionnaire and a 7-day weighed intake record for a nationally representative sample living in private households in Great Britain. The study also included a 7-day bowel movement record, a 7-day physical activity diary, anthropometric and blood pressure measurem ents, a spot urine sample and a blood sample. The survey consisted of two parts: Part 1, the Diet and Nutrition Survey, and Part 2, the Oral Health Survey.

In addition to the aims of the survey series as a whole, the survey of young people was designed to:

• provide data to assist in the development of dietary guidelines for young people, including dietary guidelines for food provided by schools
• determine the frequency of bowel movement in this age group
• provide baseline and comparative data for blood pressure and some anthropometric measurements in this age group
• provide baseline and comparative data for some haematological and biochemical indices in blood and urine in this age group