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Weight Change Prediction Dataset
Patient Health Records & Digital Health
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About
This dataset focuses on predicting weight change by analysing diet, exercise, and lifestyle factors. It includes information from 100 participants, covering their demographics, dietary habits, physical activity levels, and other lifestyle elements. Key features include age, gender, current weight, daily caloric intake, macronutrient breakdown, sleep quality, and stress levels. The dataset aims to uncover how these variables interact and influence weight fluctuations, serving as a valuable resource for researchers and practitioners in nutrition and health.
Columns
- Participant ID: A unique identifier for each individual in the study.
- Age: Participant's age, ranging from 18 to 59 years, with an average of 37.9 years.
- Gender: Participant's gender, with 57% male and 43% female representation.
- Current Weight (lbs): The participant's initial weight in pounds, ranging from 100 to 238 lbs, averaging 172 lbs.
- BMR (Calories): Basal Metabolic Rate, representing the calories burned at rest, ranging from approximately 1,570 to 3,390 calories, with an average of 2,520 calories.
- Daily Calories Consumed: The total daily caloric intake of participants, ranging from approximately 2,030 to 4,000 calories, averaging 3,520 calories.
- Daily Caloric Surplus/Deficit: The difference between calories consumed and calories expended, ranging from 82.5 to 1,920, with an average of 1,000.
- Weight Change (lbs): The observed change in weight in pounds over the study duration, ranging from a decrease of 35.7 lbs to an increase of 5 lbs, with an average change of -2.78 lbs.
- Duration (weeks): The length of the study period for each participant in weeks, ranging from 1 to 12 weeks, with an average of 6.92 weeks.
- Physical Activity Level: Categorisation of physical activity, including 'Lightly Active' (31%), 'Moderately Active' (25%), and other categories (44%).
- Sleep Quality: Assessment of sleep quality, with 'Poor' (38%) and 'Fair' (24%) being notable categories.
- Stress Level: A numerical measure of stress, ranging from 1 to 9, with an average of 4.81.
- Final Weight (lbs): The participant's weight in pounds at the end of the study, ranging from 98.2 to 233 lbs, averaging 169 lbs.
Distribution
This dataset is typically provided as a CSV file, named 'weight_change_dataset.csv', with a file size of 7.92 kB. It comprises data from 100 participants, meaning it contains 100 rows or records.
Usage
This dataset is ideal for:
- Developing and testing models to predict weight change based on various health and lifestyle indicators.
- Analysing the impact of diet, exercise, and lifestyle factors on weight fluctuations.
- Researching the interplay between demographic information, dietary habits, physical activity, sleep, and stress levels in relation to weight.
- Supporting studies in nutrition and health sciences.
Coverage
The dataset covers 100 participants with demographic information including age (18-59 years) and gender. Its scope is global, and the data collection spans a duration of 1 to 12 weeks per participant.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for:
- Researchers in fields such as nutrition, public health, sports science, and data science, to conduct statistical analysis and build predictive models.
- Practitioners in health and wellness, including dietitians and personal trainers, to gain insights into factors influencing weight change.
- Students undertaking projects related to health analytics, machine learning, or statistical modelling.
Dataset Name Suggestions
- Weight Change Prediction Dataset
- Diet & Lifestyle Weight Impact Data
- Health & Nutrition Weight Fluctuation Study
- Participant Weight Dynamics
- Human Weight Prediction Data
Attributes
Original Data Source: Weight Change Prediction Dataset
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