Healthcare
20 columns
100 rows
8 formats

Social History and Lifestyle Factors

This dataset provides a comprehensive view of social history and lifestyle factors affecting patient health, including smoking, alcohol, substance use, exercise, diet, living arrangements, employment, education, and social needs screening. It enables healthcare providers and researchers to analyze the impact of social determinants on health outcomes and identify areas for intervention or support.

last updated 2 Nov 2025
by GoMask

The brief that made it

Population health analysis and risk stratification

Sample rows

preview · 8 of 100 rows · all 20 columns

record_idstring	diet_qualitystring	screened_social_needsboolean	exercise_typestring	patient_idstring	assessment_datedate	smoking_statusstring	smoking_frequencystring	alcohol_use_statusstring	alcohol_frequencystring	substance_use_statusstring	substance_typestring	exercise_frequencystring	diet_typestring	living_situationstring	employment_statusstring	occupationstring	education_levelstring	social_needs_identifiedstring	notesstring
SHR-00001	moderate	true	cycling	PAT-10231	2024-02-03	never	none	current	weekly	never	blank	several_times_per_week	omnivore	with_family	employed_full_time	software engineer	bachelor	transportation barriers	Patient reports difficulty getting to appointments during winter.
SHR-00002	poor	true	walking	PAT-10232	2023-11-12	current	daily	former	none	former	cannabis	rarely	omnivore	alone	unemployed	blank	high_school	food insecurity	Patient is seeking assistance with groceries.
SHR-00003	healthy	false	yoga	PAT-10233	2024-01-18	never	none	never	none	never	blank	weekly	vegetarian	with_roommates	student	blank	associate	blank	No concerns reported.
SHR-00004	moderate	true	swimming	PAT-10234	2024-03-05	former	none	current	monthly	never	blank	monthly	omnivore	with_family	employed_part_time	retail associate	high_school	blank	Patient occasionally attends community pool.
SHR-00005	healthy	true	running	PAT-10235	2024-01-07	never	none	never	none	never	blank	daily	vegan	with_family	employed_full_time	teacher	master	blank	Runs 5km every morning before work.
SHR-00006	poor	true	walking	PAT-10236	2023-12-21	current	occasional	current	occasional	never	blank	rarely	omnivore	alone	unemployed	blank	secondary	housing instability	Patient recently lost housing.
SHR-00007	moderate	false	tennis	PAT-10237	2024-02-25	never	none	never	none	never	blank	weekly	omnivore	with_family	employed_part_time	lab assistant	bachelor	blank	Enjoys playing tennis with family.
SHR-00008	healthy	false	running	PAT-10238	2023-11-03	former	none	current	weekly	never	blank	weekly	low-carb	alone	retired	blank	high_school	blank	Retired last year, enjoys walking in park.
SHR-00009	healthy	false	swimming	PAT-10239	2024-01-30	never	none	never	none	never	blank	several_times_per_week	omnivore	with_roommates	student	blank	vocational	blank	Participates in swim team at school.
SHR-00010	moderate	true	yoga	PAT-10240	2024-02-18	never	none	current	monthly	never	blank	monthly	omnivore	with_family	employed_full_time	accountant	bachelor	blank	Attends monthly yoga class with colleagues.
SHR-00011	healthy	true	walking	PAT-10241	2024-03-09	never	none	never	none	never	blank	daily	omnivore	alone	disabled	blank	secondary	transportation barriers	Limited mobility, needs accessible transit.
SHR-00012	unknown	false	blank	PAT-10242	2024-01-15	unknown	unknown	unknown	unknown	unknown	blank	unknown	omnivore	unknown	unknown	blank	unknown	blank	Incomplete record; patient declined to answer.
SHR-00013	poor	true	blank	PAT-10243	2023-12-07	current	daily	current	daily	current	opioids	never	omnivore	homeless	unemployed	blank	primary	housing instability	Patient referred to addiction support services.
SHR-00014	moderate	false	basketball	PAT-10244	2024-02-01	never	none	current	weekly	never	blank	several_times_per_week	omnivore	with_family	employed_part_time	barista	high_school	blank	Plays on local basketball team.
SHR-00015	moderate	false	yoga	PAT-10245	2024-03-13	never	none	never	none	never	blank	weekly	omnivore	with_roommates	student	blank	vocational	blank	blank
SHR-00016	moderate	false	walking	PAT-10246	2024-02-24	former	none	former	none	never	blank	monthly	omnivore	with_family	retired	blank	high_school	blank	Retired, walks in neighborhood monthly.
SHR-00017	moderate	true	cycling	PAT-10247	2024-03-01	never	none	current	monthly	former	cannabis	weekly	omnivore	with_family	employed_full_time	registered nurse	bachelor	blank	Recently started new job at hospital.
SHR-00018	healthy	true	walking	PAT-10248	2023-11-28	never	none	never	none	never	blank	daily	omnivore	with_family	disabled	blank	secondary	transportation barriers	Requires wheelchair-accessible transit.
SHR-00019	poor	true	walking	PAT-10249	2024-02-14	current	occasional	current	occasional	current	cannabis	rarely	omnivore	alone	unemployed	blank	secondary	food insecurity	Patient struggling to afford groceries.
SHR-00020	moderate	false	running	PAT-10250	2024-01-23	never	none	never	none	never	blank	weekly	omnivore	with_family	employed_full_time	sales manager	bachelor	blank	Training for spring marathon.

What the 100 rows show

from the 100-row sample

Poor (diet quality) stands out: 16 of its 16 rows have screened_social_needs = true, against 32 of 84 for the rest.

48%screened_social_needs = true
3substance types
4smoking statuses
4smoking frequencies
4alcohol use statuses
4substance use statuses

Screened social needs rate by diet_qualityscreened_social_needs = true

exercise_type80 rows with a value · 20 left blank

walking30
yoga11
running11
cycling9
swimming7
gardening4
tennis3
basketball2
dancing1
pilates1

20 columns by typefrom the column list below

string 18
date 1
boolean 1

Columns

20 columns in three groups

blueprint · 20 columns
column	type	description	example
Text 18 columns
`record_id`	string	Unique identifier for each social history recordunique	SHR-00001
`patient_id`	string	Unique identifier for the patient	PAT-10231
`smoking_status`	string	Current smoking status of the patientnever · former · current · unknown	never
`smoking_frequency`	string	Frequency of smoking if applicable (e.g., daily, occasional)daily · occasional · none · unknown · optional	none
`alcohol_use_status`	string	Current alcohol use status of the patientnever · former · current · unknown	current
`alcohol_frequency`	string	Frequency of alcohol consumption if applicable6 values · optional	weekly
`substance_use_status`	string	Current status of recreational or illicit substance usenever · former · current · unknown	never
`substance_type`	string	Type of substance used (e.g., cannabis, opioids, stimulants)3 types · optional	cannabis
`exercise_frequency`	string	Frequency of physical exercise7 values	several_times_per_week
`exercise_type`	string	Type of exercise performed (e.g., walking, running, swimming)11 types · optional	cycling
`diet_type`	string	General description of diet (e.g., vegetarian, vegan, omnivore, low-carb)4 types	omnivore
`diet_quality`	string	Quality of diet as assessed (e.g., healthy, moderate, poor)healthy · moderate · poor · unknown · optional	moderate
`living_situation`	string	Current living situation (e.g., alone, with family, assisted living, homeless)7 values	with_family
`employment_status`	string	Current employment status7 values	employed_full_time
`occupation`	string	Occupation or job title if employedoptional	software engineer
`education_level`	string	Highest level of education completed10 values	bachelor
`social_needs_identified`	string	Social needs identified during screening (e.g., food insecurity, housing instability, transportation barriers)5 identifieds · optional	transportation barriers
`notes`	string	Additional notes or comments from the assessoroptional	No concerns reported.
Dates and times 1 column
`assessment_date`	date	Date when the social history assessment was conducted	2024-02-03
True or false 1 column
`screened_social_needs`	boolean	Whether the patient was screened for social needs	true

Use it for

A healthcare dashboard
The screened_social_needs rate, screened_social_needs by diet_quality and a breakdown of exercise_type. Excel, Power BI or Tableau.
Why do 48 of 100 rows have screened_social_needs = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Records100
SHR-00001moderate
SHR-00002poor
SHR-00003healthy
A software demo
Believable records with patient_id, assessment_date and smoking_status to fill a screen in front of a buyer.

This dataset100 rows20 columns

Yours1,000 rows20 columns

blueprint · social-history-and-lifestyle-factors

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Smoking status: current, former, never (Meaningful Use requirement)
Pack-years for current and former smokers
Alcohol use: drinks per week, AUDIT-C score
Substance use screening and SBIRT (brief intervention)
Exercise frequency and duration
Diet and nutrition assessment
Living situation: alone, with family, assisted living, homeless
Employment status and occupational exposures

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: social-history-and-lifestyle-factors

What should your data show?

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Sample rows

What the 100 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?