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Description:

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.

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 cognitition evaluation.

  • ham_d - Score on the Hamilton Rating Scale for depression.

  • ham_a - Score on the Hamilton Rating Scale for anxiety.

  • 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".

  • ipaq_grp - 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.

Link To Google Sheets:

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References/Notes/Attributions:

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. https://doi.org/10.1371/journal.pone.0195549 Thank you to Professor Silas Bergen of Winona State University for pointing us to this data set!

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Medial_temporal_lobe__MTL__and_other_data_for_26_participants_1462_86.csv")

R Coding Interface:


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