Health and Lifestyle Survey Data
Description
This dataset, titled "Health and Lifestyle Survey Data," contains a collection of personal health records and demographic information from a survey of individuals. The data is structured with 24 distinct columns, providing insights into various aspects of the respondents' lives, including their personal habits, health conditions, and preferences. The dataset includes the following key categories of information: Demographics: Includes basic information such as Name, Gender, Age Group, Profession, and Region/Locality. Lifestyle and Habits: Features data on Smoking Habit, Alcohol Consumption, Physical Activity Level, Fast Food Consumption Frequency, Sleep Duration, Sleep Issues, Diet Type, and Water Intake per Day. Health and Wellness: Details Current Health Conditions, Common Regional Health Concerns, Access to Clean Water & Sanitation, Pollution Exposure Area, Mental Health Frequency, Healthcare Access Method, and Symptoms. Other Information: Includes Preferred Language for Chatbot and Preferred Platform, which can be used to understand communication preferences. The Blood group and Particular disease fields provide specific medical information. This dataset is suitable for academic research in public health, sociology, and data analysis. It can be used to study the correlations between lifestyle choices and health outcomes, identify prevalent health issues in specific regions, and analyze healthcare access patterns. The data is presented in a clear, organized format, making it easy for researchers to perform various statistical analyses and generate new insights into community health trends.
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Steps to reproduce
Data Collection Methodology and Research Protocol The data presented was gathered through a straightforward, non-randomized, face-to-face survey conducted at VIT Bhopal, located in Kothri, Madhya Pradesh, India. The primary objective was to collect basic health, lifestyle, and demographic information from a specific, accessible population. The research methods and protocols were designed for simplicity and direct engagement, as outlined below. Methods and Instruments 1. Survey Instrument A simple, structured questionnaire was used as the primary data collection instrument. This survey was not a validated or standardized academic tool but rather a set of direct questions corresponding to the columns in the final dataset. The questions were designed to be clear and easy to understand, covering 24 distinct data points. These included personal details (Name, Gender), professional information (Profession), geographical location (Region/Locality), lifestyle choices (Smoking Habit, Physical Activity Level), health conditions (Current Health Conditions, Common Regional Health Concerns), and preferences (Preferred Language for Chatbot). No specific reagents or specialized instruments were used; the data collection relied solely on direct communication. 2. Data Collection Protocol Face-to-Face Interviews: The data was collected through one-on-one, face-to-face conversations with the participants. A researcher or data collector asked the questions and recorded the answers. Target Population: The survey targeted a convenience sample of staff, workers, and students at the VIT Bhopal campus. This approach was chosen for its accessibility and to gather a specific cross-section of the campus community. Data Recording: The responses were manually transcribed onto a data-collection sheet or directly into a digital format. 3. Software and Workflows Data Storage: The collected data was organized and stored in a spreadsheet application, such as Microsoft Excel or Google Sheets. This software served as the primary tool for data organization and management. Final Format: The data was exported or saved as a comma-separated values (.csv) file, which is a standard format for sharing tabular data and is compatible with most statistical analysis software. Reproducibility of the Research To reproduce this study, a researcher would need to: Replicate the Survey: Create a questionnaire that mirrors the columns of the provided dataset. Conduct a Similar Survey: Approach staff, workers, and students at a specific institution, such as VIT Bhopal, and conduct the same face-to-face interviews. Data Transcription: Manually input the collected responses into a spreadsheet program, ensuring the column headers and data types match the original dataset. Data Export: Save the final spreadsheet as a CSV file to create a reproducible dataset for analysis.