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Dietary Habits Survey Data
Food & Beverage Consumption
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About
captures insights into individuals' habitual decisions regarding their daily food preferences and consumption patterns. Understanding dietary habits across diverse demographics aids in revealing key factors about individuals’ health, lifestyle, and social engagement. Given that many prevailing health challenges are linked to improper nutrition, this survey data serves as a valuable resource for analysing how dietary choices are influenced by factors such as age, gender, culture, and lifestyle. The information contained goes beyond mere food preferences, detailing beverage intake, hydration levels, frequency of different food groups, and the prevalence of allergies. The survey results can specifically be used to explore and potentially validate common hypotheses regarding the eating habits of younger adults.
Columns (26 columns total)
The dataset contains 26 distinct columns derived from the survey questions:
- Age: The respondent's age group (e.g., 18-24, 45-54).
- Gender: The respondent's reported gender (Male or Female).
- How many meals do you have a day?: The regular number of occasions when a significant amount of food is eaten daily.
- What would best describe your diet: The type of diet followed (e.g., Non-Vegetarian, Vegetarian, Pescatarian, Eggetarian).
- Choose all that apply: [I skip meals]: Frequency of skipping meals (e.g., Rarely, Sometimes).
- Choose all that apply: [I experience feelings of hunger during the day]: Frequency of experiencing hunger.
- Choose all that apply: [I consult a nutritionist/dietician]: Frequency of consulting a dietary professional.
- Choose all that apply: [I cook my own meals]: Frequency of preparing personal meals.
- What would you consider to be the main meal of YOUR day?: Identification of the most important meal (e.g., Lunch, Breakfast).
- What does your diet mostly consist of and how is it prepared?: The source of food (e.g., Freshly home-cooked produce, Restaurant meals).
- How many times a week do you order-in or go out to eat?: Frequency of eating out or ordering takeaway.
- Are you allergic to any of the following?: Notes on specific allergies or lack thereof.
- Food Intake Frequencies (7 Columns): Weekly consumption frequency for specific food categories: Sweet foods, Salty foods, Fresh fruit, Fresh vegetables, Oily/fried foods, Meat, and Seafood.
- Beverage Frequencies (6 Columns): Consumption frequency for specific beverages: Tea, Coffee, Aerated (Soft) Drinks, Fruit Juices (Fresh/Packaged), Dairy Beverages, and Alcoholic Beverages.
- What is your water consumption like: Daily water consumption measured in cups (1 cup=250ml approx).
Distribution
The data is typically available in CSV format, with the survey file size noted as 26.69 kB. The structure consists of 26 columns providing detailed responses on food and beverage habits. The dataset currently includes 78 valid records/rows, representing the full response count for core demographic questions.
Usage
This data is ideal for analysing the relationship between lifestyle factors and nutrition. Use cases include:
- Identifying demographic trends in food and beverage consumption frequency.
- Evaluating the impact of age and gender on specific dietary restrictions or preferences.
- Investigating correlations between cooking habits, eating out frequency, and diet type.
- Performing research into public health, specifically concerning diet-related health issue prevention.
- Analysing patterns of hydration and meal planning among different groups.
Coverage
The data focuses on demographic factors including Age and Gender. Age groups represented span from Under 18 up to Above 65. The survey responses reflect decisions pertaining to daily food preferences and habits. The data reflects responses gathered at a single point in time, with no expected future updates. Geographic scope is not specified in the current survey documentation.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study population-level dietary trends and potential links to health outcomes.
- Nutrition and Dietetics Students/Professionals: For educational studies or research on typical meal patterns, skipping habits, and professional consultation rates.
- Sociologists: To examine how shared values, beliefs, and resources shape food culture and customs.
- Food Industry Analysts: To gain insights into product popularity, consumption frequency of specific food categories (e.g., sweet, salty, meat, seafood), and beverage intake preferences.
Dataset Name Suggestions
- Dietary Habits Survey Data
- Food Preferences and Consumption Frequency Survey
- Demographic Food Habits Study
- Nutrition and Lifestyle Choices Dataset
Attributes
Original Data Source: Dietary Habits Survey Data
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