Dataset Open Access

Data archive for Pepper, Bateson and Nettle, 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis'

Pepper, Gillian; Bateson, Melissa; Nettle, Daniel

Data archive for the paper 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis' by Gillian Pepper, Melissa Bateson and Daniel Nettle. This version was uploaded in July 2018 after peer-review in the journal Royal Society Open Science. Compared to earlier version, it incorporates some minor error correction to the dataset, and reflects the revised analyses we performed after peer review. 

Our protocol and recording guide, which were preregistered on the Open Science Framework in 2016, are also included here, as is our PRISMA diagram.

The data file 'unprocessed data' contains the data as extracted from the literature, with associations shown both as provided in the original papers, and converted to correlation coefficients. The algorithms for converting all the different associations to correlation coefficients are described in the flowchart and implemented in the R script 'effect conversion algorithms.r'.

The data file 'processed data.csv' is the dataset analysed in the paper. Compared to 'unprocessed data.csv', it excludes: associations from studies of non-human animals; duplicate associations; a small number of associations from studies of medical treatments; and associations considered subparts or subscales of other associations. These exclusions are outlined in Methods section of the paper. In addition, in the processed data file, all correlations are aligned in direction so as to make them comparable (variable 'ValencedEffect'); and all associations are assigned to broad and fine categories.The script 'unprocessed to processed.r' makes the processed data file from the unprocessed one, or you can simply work from the processed one directly. 

The R script 'telomere metanalysis script RSOS REVISED.r' reproduces the analyses found in the paper.

This version of the archive (July 17 2018) contains one small correction in the data files compared to all earlier versions. 

Files (2.4 MB)
Name Size
COMSTAR telomere meta-analysis protocol@12.05.2016.pdf
md5:ccc250b0f85a65637ca938e1f6e2295c
739.3 kB Download
COMSTAR telomere meta-analysis recording guide@12.05.2016.pdf
md5:e12b614392b6a4d0e5e2f96af1f5befe
382.2 kB Download
effect conversion algorithms.r
md5:3e02ad34b7fca1c9ed142208166f82a5
8.7 kB Download
EffectConversionFlowChart@25.08.2017.png
md5:639256ec1e1b20fb6b2025ca046ece81
128.6 kB Download
PRISMA Pepper, Bateson and Nettle.pdf
md5:c70375ae07058e8c94eda855ef26c4f3
192.1 kB Download
processed data.csv
md5:9110a8e6560f47b500578949e4d2bac1
418.4 kB Download
telomere metaanalysis script RSOS REVISED.R
md5:9ec63e75d24b91426e028657bb9cd768
32.2 kB Download
unprocessed data.csv
md5:e188769da12a1c6ecdcfe9c983e71225
478.1 kB Download
unprocessed to processed.r
md5:14d3428da110f6d7d68431996084d283
8.0 kB Download
39
30
views
downloads
All versions This version
Views 3931
Downloads 3022
Data volume 16.3 MB12.8 MB
Unique views 3628
Unique downloads 2517

Share

Cite as