clean_health_and_bio: Health and biometric variables

In STAPM/hseclean: Health Survey Data Wrangling

Health and biometric variables

Description

Cleans data on presence/absence of certain categories of health condition, and on height and weight.

Usage

clean_health_and_bio(data)

Arguments

data	The Health Survey for England dataset.

Details

HEATH CONDITIONS

There are a set of 15 categories of conditions that are ascertained consistently across all years of the Heath Survey for England. These are:

• Cancer

• Endocrine or metabolic condition

• Mental health condition

• Nervous system condition

• Eye condition

• Ear condition

• Heart or circulatory system condition

• Respiratory condition

• Digestive condition

• Genito-urinary condition

• Skin condition

• Musculo-skeletal condition

• Infectious disease

• Blood and related organs condition

• Other

HEIGHT AND WEIGHT

Height (cm) and weight (kg). Weight is estimated above 130kg. Missing values of height and weight are replaced by the mean height and weight for each age, sex and IMD quintile. BMI is calculated according to kg / m^2.

Value

• Returns a variable indicating the presence/absence of each health condition (hse_cancer, hse_endocrine, hse_heart, hse_mental, hse_nervous, hse_eye, hse_ear, hse_respir, hse_disgest, hse_urinary, hse_skin, hse_muscskel, hse_infect, hse_blood, hse_other).

• height and weight.

• BMI (numeric)

Examples

## Not run: 

data_2001 <- read_2001()

data_2001 <- clean_health_and_bio(data = data_2001)


## End(Not run)

STAPM/hseclean documentation built on June 9, 2025, 4:50 a.m.