from pheno_utils import PhenoLoader053-sociodemographics
Sociodemographics
The Human Phenotype Project conducts comprehensive data collection through online surveys, where participants voluntarily provide information on various aspects influencing their health. This includes sociodemographic data, captured through two lifestyle surveys (Inital UKBB and Follow-up UKBB survey) and the Initial Medical Survey.
These lifestyle surveys are modeled after the UK Biobank’s touch screen questionnaire. Participants receive the full version via email to complete on the Zoho platform, either before or after their baseline visit. A shorter, follow-up version of the questionnaire is then filled out by participants during subsequent visits.
Data availability:
The information is stored in 2 parquet files: initial_medical.parquet and ukbb.parquet which contain the different data sources respectively the Initial Medical Survey and the two lifestyle surveys (Inital UKBB and Follow-up UKBB survey).
pl = PhenoLoader('sociodemographics')
plPhenoLoader for sociodemographics with
52 fields
3 tables: ['initial_medical', 'ukbb', 'age_sex']Data dictionary
pl.dict| folder_id | feature_set | field_string | relative_location | bulk_file_extension | bulk_dictionary | description_string | field_type | pandas_dtype | stability | units | sampling_rate | strata | sexed | debut | completed | data_coding | array | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tabular_field_name | ||||||||||||||||||
| collection_timestamp | 53 | initial_medical | Collection timestamp | sociodemographics/initial_medical.parquet | NaN | NaN | Timestamp of measurements collection | Datetime | datetime64[ns, Asia/Jerusalem] | Accruing | Time | NaN | Collection time | Both sexes | 2/26/2020 | NaN | NaN | Single |
| collection_date | 53 | initial_medical | Collection date | sociodemographics/initial_medical.parquet | NaN | NaN | Date of measurments collection | Date | datetime64[ns] | Accruing | Time | NaN | Collection time | Both sexes | 2/26/2020 | NaN | NaN | Single |
| timezone | 53 | initial_medical | Timezone | sociodemographics/initial_medical.parquet | NaN | NaN | Timezone of the measurments | Categorical (single) | category | Accruing | NaN | NaN | Collection time | Both sexes | 2/26/2020 | NaN | NaN | Single |
| DOB | 53 | initial_medical | DOB | sociodemographics/initial_medical.parquet | NaN | NaN | Birth year | Integer | int | Accruing | year | NaN | Primary | Both sexes | 2/26/2020 | NaN | NaN | Single |
| country_of_birth | 53 | initial_medical | Country of birth | sociodemographics/initial_medical.parquet | NaN | NaN | Birth Land | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| year_of_aliya | 53 | initial_medical | Year of aliya | sociodemographics/initial_medical.parquet | NaN | NaN | Year of aliyah to Israel | Integer | int | Accruing | year | NaN | Primary | Both sexes | 2/26/2020 | NaN | NaN | Single |
| father_country_of_birth | 53 | initial_medical | Father country of birth | sociodemographics/initial_medical.parquet | NaN | NaN | Grandfather's country of birth on father's side | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| grandfather_country_of_birth_father_side | 53 | initial_medical | Grandfather country of birth father side | sociodemographics/initial_medical.parquet | NaN | NaN | Grandmother's country of birth on father's side | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| grandmother_country_of_birth_father_side | 53 | initial_medical | Grandmother country of birth father side | sociodemographics/initial_medical.parquet | NaN | NaN | Grandmother's Birth Land | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| mother_country_of_birth | 53 | initial_medical | Mother country of birth | sociodemographics/initial_medical.parquet | NaN | NaN | Country of your mother | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| grandfather_country_of_birth_mother_side | 53 | initial_medical | Grandfather country of birth mother side | sociodemographics/initial_medical.parquet | NaN | NaN | Grandfather's country of birth on mother's side | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| grandmother_country_of_birth_mother_side | 53 | initial_medical | Grandmother country of birth mother side | sociodemographics/initial_medical.parquet | NaN | NaN | Grandmother's country of birth on mother's side | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_01 | Single |
| education | 53 | initial_medical | Education | sociodemographics/initial_medical.parquet | NaN | NaN | Education level | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 053_02 | Single |
| gender | 53 | initial_medical | Gender | sociodemographics/initial_medical.parquet | NaN | NaN | Gender | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 2/26/2020 | NaN | 9 | Single |
| collection_timestamp | 53 | ukbb | Collection timestamp | sociodemographics/ukbb.parquet | NaN | NaN | Timestamp of measurements collection | Datetime | datetime64[ns, Asia/Jerusalem] | Accruing | Time | NaN | Collection time | Both sexes | 1/9/2019 | NaN | NaN | Single |
| collection_date | 53 | ukbb | Collection date | sociodemographics/ukbb.parquet | NaN | NaN | Date of measurments collection | Date | datetime64[ns] | Accruing | Time | NaN | Collection time | Both sexes | 1/9/2019 | NaN | NaN | Single |
| timezone | 53 | ukbb | Timezone | sociodemographics/ukbb.parquet | NaN | NaN | Timezone of the measurments | Categorical (single) | string | Accruing | NaN | NaN | Collection time | Both sexes | 1/9/2019 | NaN | NaN | Single |
| study_family_member | 53 | ukbb | Family member participates in this study | sociodemographics/ukbb.parquet | NaN | NaN | Is a member of your family a participant in th... | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 7 | Single |
| study_family_member_participant_id | 53 | ukbb | Family member participant ID | sociodemographics/ukbb.parquet | NaN | NaN | What is their participant ID? | Integer | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| study_family_member_relationship | 53 | ukbb | Family member degree of relationship | sociodemographics/ukbb.parquet | NaN | NaN | What is your degree of relationship with them? | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100200 | Single |
| study_household_member | 53 | ukbb | Household member participates in this study | sociodemographics/ukbb.parquet | NaN | NaN | Does anyone in your household participate in t... | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 7 | Single |
| study_household_member_participant_id | 53 | ukbb | Household member participate ID | sociodemographics/ukbb.parquet | NaN | NaN | What are their participant ID? | Integer | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_household_type | 53 | ukbb | Type of accommodation lived in | sociodemographics/ukbb.parquet | NaN | NaN | What type of accommodation do you live in? | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100286 | Single |
| domestic_household_appliances | 53 | ukbb | Type of heating and/or air conditioning at home | sociodemographics/ukbb.parquet | NaN | NaN | Do you have any of the following in your home?... | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100288 | Single |
| domestic_household_years | 53 | ukbb | Length of time at current address | sociodemographics/ukbb.parquet | NaN | NaN | How many years have you lived at your current ... | Integer | int | Accruing | Years | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_household_people_number | 53 | ukbb | Number of people in household | sociodemographics/ukbb.parquet | NaN | NaN | Including yourself, how many people are living... | Integer | int | Accruing | People | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_household_people_relationship | 53 | ukbb | How are people in household related to partici... | sociodemographics/ukbb.parquet | NaN | NaN | How are the other people who live with you rel... | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100292 | Single |
| domestic_household_car_number | 53 | ukbb | Number of vehicles in household | sociodemographics/ukbb.parquet | NaN | NaN | How many cars or vans are owned, or available ... | Categorical (single) | int | Accruing | Cars | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100293 | Single |
| domestic_household_income | 53 | ukbb | Average total household income after tax | sociodemographics/ukbb.parquet | NaN | NaN | What is the average total income after tax rec... | Categorical (single) | int | Accruing | NIS/Month | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100294 | Single |
| domestic_job_status | 53 | ukbb | Current employment status | sociodemographics/ukbb.parquet | NaN | NaN | Which of the following describes your current ... | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100295 | Single |
| domestic_job_years | 53 | ukbb | Years employed in main current job | sociodemographics/ukbb.parquet | NaN | NaN | How many years have you worked in your current... | Integer | int | Accruing | Years | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_months | 53 | ukbb | Months employed in main current job | sociodemographics/ukbb.parquet | NaN | NaN | How many months have you worked in your curren... | Integer | int | Accruing | Months | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_hours_daily | 53 | ukbb | Length of working day for main job | sociodemographics/ukbb.parquet | NaN | NaN | In a typical DAY, how many hours do you spend ... | Integer | int | Accruing | Hours/Day | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_office_days | 53 | ukbb | Frequency of travelling from home to job workp... | sociodemographics/ukbb.parquet | NaN | NaN | How many days a WEEK do you travel from home t... | Integer | int | Accruing | Days/Week | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_transport | 53 | ukbb | Transport type for commuting to job workplace | sociodemographics/ukbb.parquet | NaN | NaN | What types of transport do you use to get to a... | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100299 | Single |
| domestic_job_distance | 53 | ukbb | \nDistance between home and job workplace | sociodemographics/ukbb.parquet | NaN | NaN | About how many km is it between your home and ... | Integer | int | Accruing | Km | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_walking_standing | 53 | ukbb | Job involves mainly walking or standing | sociodemographics/ukbb.parquet | NaN | NaN | Does your work involve walking or standing for... | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100301 | Single |
| domestic_job_manual_physical | 53 | ukbb | Job involves heavy manual or physical work | sociodemographics/ukbb.parquet | NaN | NaN | Does your work involve heavy manual or physica... | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100301 | Single |
| domestic_job_shifts | 53 | ukbb | Job involves shift work | sociodemographics/ukbb.parquet | NaN | NaN | Does your work involve shift work? | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100301 | Single |
| domestic_job_night_shift | 53 | ukbb | Job involves night shift work | sociodemographics/ukbb.parquet | NaN | NaN | Does your work involve night shifts? | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 100301 | Single |
| domestic_education_qualifications | 53 | ukbb | Qualifications | sociodemographics/ukbb.parquet | NaN | NaN | Which of the following qualifications do you h... | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100305 | Single |
| domestic_education_age | 53 | ukbb | Age completed full time education | sociodemographics/ukbb.parquet | NaN | NaN | At what age did you complete your continuous f... | Integer | int | Accruing | Years | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| extra_domestic_job_hours | 53 | ukbb | Extra domestic job hours | sociodemographics/ukbb.parquet | NaN | NaN | Extra domestic job hours | Integer | int | Accruing | Hours | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| extra_domestic_past_pets | 53 | ukbb | Extra domestic past pets | sociodemographics/ukbb.parquet | NaN | NaN | Extra domestic past pets | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 7 | Single |
| extra_domestic_current_pets | 53 | ukbb | Extra domestic current pets | sociodemographics/ukbb.parquet | NaN | NaN | Extra domestic current pets | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 7 | Single |
| extra_domestic_current_pets_type | 53 | ukbb | Extra domestic current pets type | sociodemographics/ukbb.parquet | NaN | NaN | Extra domestic current pets type | Categorical (multiple) | object | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 040_09 | Single |
| extra_domestic_residence_area_type | 53 | ukbb | Extra domestic residence area type | sociodemographics/ukbb.parquet | NaN | NaN | Extra domestic residence area type | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 040_10 | Single |
| exrta_domestic_current_assisted_living | 53 | ukbb | Exrta domestic current assisted living | sociodemographics/ukbb.parquet | NaN | NaN | Exrta domestic current assisted living | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | P100352 | Single |
| extra_army_past_service | 53 | ukbb | Extra army past service | sociodemographics/ukbb.parquet | NaN | NaN | Extra army past service | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 040_11 | Single |
| extra_army_past_position | 53 | ukbb | Extra army past position | sociodemographics/ukbb.parquet | NaN | NaN | Extra army past position | Categorical (single) | int | Accruing | NaN | NaN | Primary | Both sexes | 1/9/2019 | NaN | 040_12 | Single |
| extra_army_past_duration | 53 | ukbb | Extra army past duration | sociodemographics/ukbb.parquet | NaN | NaN | Extra army past duration | Integer | int | Accruing | Years | NaN | Primary | Both sexes | 1/9/2019 | NaN | NaN | Single |
| domestic_job_home_days | 53 | ukbb | Frequency of working remotely from home | sociodemographics/ukbb.parquet | NaN | NaN | Frequency of working remotely from home | Integer | int | Accruing | NaN | NaN | Primary | Both sexes | 2/17/2020 | NaN | NaN | Single |
| data_source | 55 | ukbb | Data source | sociodemographics/ukbb.parquet | NaN | NaN | Data source of survey information | Text | string | Accruing | NaN | NaN | Auxiliary | Both sexes | 2/26/2020 | NaN | NaN | Single |