Data · dataset · 2026
Data and Code for Longitudinal Network Temperature Analyses of Depressive Symptoms, Perceived Stress, and Stress-Related Biomarkers
Listed in Teesside University Research Data Repository
This repository contains the data and R code used for the longitudinal network-temperature analyses of depressive symptoms and perceived stress across six assessment waves.
Description
The primary analyses estimate network temperature for the PHQ-9 and PSS using multigroup Ising models and examine the robustness of longitudinal temperature trajectories using available-case, complete-longitudinal-case, and inverse-probability-weighted analyses.
The repository also includes code for examining physiological correspondence with network temperature. Hair LC–MS/MS measures include cortisol and cortisone, with additional analyses of the cortisol-to-cortisone ratio. Hair lipid measures include anandamide (AEA), 2-arachidonoylglycerol (2-AG/AG), palmitoylethanolamide (PEA), oleoylethanolamide (OEA), and stearoylethanolamide (SEA).
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Analyses include wave-level Pearson and Spearman correlations, adjacent-wave change correlations, and individual-level linear mixed-effects models separating within-person and between-person variation. Exploratory analyses further examine within-system and cross-system biomarker ratios, including ratios among endocannabinoids and related N-acylethanolamines and ratios between these measures and glucocorticoids. The code also includes covariate-adjusted sensitivity analyses and scripts for generating the corresponding summary tables and longitudinal trajectory figures.
Links
Where it is published
- DOI doi.org/10.17632/zxrdj97xbk.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Psychology & Behavioral Science · Social Science
- Inferred from text
- Biological psychology 71% · Longitudinal study 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zxrdj97xbk.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:5202 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |