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The data are from a convenience sample of 25 women and 10 men who were middle-aged or older. The purpose of the study was to understand the relationship between sedentary behavior and thickness of the medial temporal lobe (MTL) in the brain.

Usage

mtl

Format

A data frame with 35 observations on the following 23 variables.

subject

ID for the individual.

sex

Gender, which takes values F (female) or M (male).

ethnic

Ethnicity, simplified to Caucasian and Other.

educ

Years of educational.

e4grp

APOE-4 status, taking a value of E4 or Non-E4.

age

Age, in years.

mmse

Score from the Mini-Mental State Examination, which is a global cognition evaluation.

ham_a

Score on the Hamilton Rating Scale for anxiety.

ham_d

Score on the Hamilton Rating Scale for depression.

dig_sym

We (the authors of this R package) are unsure as to the meaning of this variable.

delay_vp

We (the authors of this R package) are unsure as to the meaning of this variable.

bfr_selective_reminding_delayed

We (the authors of this R package) are unsure as to the meaning of this variable.

sitting

Self-reported time sitting per day, averaged to the nearest hour.

met_minwk

Metabolic equivalent units score (activity level). A score of 0 means "no activity" while 3000 is considered "high activity".

ipa_qgrp

Classification of METminwk into Low or High.

aca1

Thickness of the CA1 subregion of the MTL.

aca23dg

Thickness of the CA23DG subregion of the MTL.

ae_cort

Thickness of a subregion of the MTL.

a_fusi_cort

Thickness of the fusiform gyrus subregion of the MTL.

a_ph_cort

Thickness of the perirhinal cortex subregion of the MTL.

a_pe_cort

Thickness of the entorhinal cortex subregion of the MTL.

asubic

Thickness of the subiculum subregion of the MTL.

total

Total MTL thickness.

Source

Siddarth P, Burggren AC, Eyre HA, Small GW, Merrill DA. 2018. Sedentary behavior associated with reduced medial temporal lobe thickness in middle-aged and older adults. PLoS ONE 13(4): e0195549. doi:10.1371/journal.pone.0195549 .

Thank you to Professor Silas Bergen of Winona State University for pointing us to this dataset!

Examples


library(ggplot2)

ggplot(mtl, aes(x = ipa_qgrp, y = met_minwk)) +
  geom_boxplot()