Published July 2, 2026 | Version v1

Which Combinations of Behaviour Change Techniques Work Best? Evidence from Meta-review of Interventions Addressing Healthy Diet and Exercise after Breast Cancer_Supplementary_Materials

Description

The files contain the supplementary materials, raw dataset and data processing code for the following scientific article: "Which combinations of behaviour change techniques work best? Evidence from a meta-review of interventions addressing healthy diet and exercise after breast cancer".  The purpose of this dataset is to identify and analyse the frequency and effectiveness of various combinations of behaviour change techniques (BCTs) applied in lifestyle interventions for breast cancer survivors. This deposit consists of the following three core files:
1. review_combination_dataset (Raw Data Matrix) - This Excel spreadsheet contains the raw, coded matrix extracted from the systematic reviews included in the meta-review. It shows which specific BCTs were used in the analysed literature. It serves as the input file for the automated Python script, which calculates combination frequencies and outcome success rates (in .csv format when processed).  
2. Python_code
3. BCT Combinations Additional file 1 - This comprehensive document contains supporting methodological information and extended results tables.

Files

review_combinations_dataset.csv

Files (125.2 kB)

Name Size
md5:b7924960d6f14d68b56484d1e0137752
55.8 kB Download
md5:dd9d32c0903df45db8dfd9bd888bd7b2
19.6 kB Download
md5:f059ff3c925f229e7c36456c3c32f1c9
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Additional details

Funding

European Commission
MELIORA - Multimodal Engagement and sustainable Lifestyle Interventions Optimizing breast cancer Risk reduction supported by Artificial intelligence 101136791

Software

Programming language
Python