Introduction

The lwc2022 package is specifically developed for generation of the Langa-Weir classification of cognitive function for the 2022 Health and Retirement Study (HRS) cognition data. This classification system, developed by researchers David Weir and Kenneth Langa, categorizes individuals into cognitive function groups based on their performance in a set of standardized cognitive assessments.

For previous waves of HRS data (1995 - 2020) there is a researcher contributed dataset of dementia classifications (Langa, 2020). This dataset is widely used in research to study the trajectories of cognitive aging, dementia risk, and related health outcomes in older adults. However, with the recent release of the 2022 HRS data, these classifications have yet to be updated. As such, the lwc2022 package aims to bridge this gap by providing tools that allow researchers to apply the same methodology to the 2022 cognition data.

Methodological Overview of Langa-Weir Classifications

The Langa-Weir classification of cognitive function is based on performance in several cognitive domains, including:

• Immediate and delayed word recall: These tests assess episodic memory by asking respondents to recall a list of 10 words both immediately and after a delay.
• Serial subtraction: This task measures working memory and mental flexibility by having participants subtract 7 from 100 up to five times in a row.
• Backwards counting: Respondents are asked to count backwards from 20, which tests their attention and working memory.

The Langa-Weir methodology involves scoring these tasks and then assigning individuals to one of three cognitive function categories:

• Normal cognition
• Cognitively impaired, not demented (CIND)
• Dementia

The classification is based on a total cognitive score that sums the performance across these tasks. Cut-off thresholds are used to determine which category a respondent falls into, with higher scores indicating better cognitive performance.

What the lwc2022 package provides

This package offers several key functions to facilitate the generation of the Langa-Weir classifications for the 2022 HRS data. These functions replicate the logic and methodology described in the Langa-Weir Data Description for earlier waves. The following key functions are included:

1. Data extraction: The extract() function pulls out the relevant cognitive test variables from the HRS dataset.
2. Scoring: The score() function calculates the cognitive test scores for word recall, serial subtraction, and backwards counting.
3. Classification: The classify() function generates cognitive function classifications based on the total score, assigning individuals to normal cognition, CIND, or dementia categories.

Example Workflow

# Installing package
# devtools::install_github("C-Monaghan/lwc2022")

# Loading package
library(lwc2022)

# Load the example dataset
data(cog_data)

# Alternatively load the real HRS 2022 cognition data
# cog_data <- haven::read_sav(here::here("../path_to_file.sav"))

# Extract the relevant cognitive test variables
extracted_data <- extract(cog_data)

# Score the cognitive tests
scored_data <- score(extracted_data)

# Classify individuals based on their total cognitive score
classified_data <- classify(scored_data)

# View the first few rows of the classified data
head(classified_data)
#>     HHID PN imrc_imp2022 dlrc_imp2022 ser7_imp2022 bwc20_imp2022
#> 1 288941 93            9            7            0             0
#> 2 234057 99            6            7            0             1
#> 3 224021 72            8            8            0             0
#> 4 785284 26            6            3            1             0
#> 5 326317  7            8            7            0             2
#> 6 465208 42            7            6            0             2
#>   cogtot27_imp2022 cogfunction2022
#> 1               16               1
#> 2               14               1
#> 3               16               1
#> 4               10               2
#> 5               17               1
#> 6               15               1