The metabolic_meta dataset displays the “processed” data from the data extracted from each study. Here, the calculation of the difference in means and of the standard deviation of the mean between pre- and post-training are already calculated. This dataset is used internally to reproduce the meta-analysis results.

Please, refer to the Introduction to metabolic vignette for a walk-through.

In case you are not familiar with R or just would like to download this dataset, you can choose to download it as a .xlsx file.

## Data dictionary

column description
study last name of first author and year of publication
endpoint the clinical endpoint analyzed, it may be either: VO2max (maximal oxygen uptake), Flow-mediated Dilation, BMI (body mass index), Body Mass, Body Fat, Systolic Blood Pressure, Diastolic Blood Pressure, HDL, LDL, Triglycerides, Total Cholesterol, C-reactive Protein, Fasting Insulin, Fasting Glucose, HbA1c (glycated hemoglobin), or HOMA-IR (insulin resistance)
population population category from the study, it may be either: Healthy, Overweight/obese, Cardiac Rehabilitation, Metabolic Syndrome, or T2D
age the median age between the groups in the study, in years
category_age age category based on the age column, it may be either: < 30 y, 30 - 50 y, or > 50 y
duration the training duration, in weeks
category_duration training duration category based on the duration column, it may be either: < 5 weeks, 5 - 10 weeks, or > 10 weeks
men_ratio the men ratio (total men divided by sample size) reported in the study
category_men_ratio men ratio category based on the men_ratio column, it may be either: < 0.5 or > 0.5
type_exercise the type of exercise used for exercise training, it may be either running or cycling
bsln the baseline value reported for the clinical endpoint (the median between groups is used)
bsln_adjusted the adjusted baseline value for the clinical endpoint. Values were adjusted according to their categories described in the paper. For example, VO2max values were adjusted to their age and sex percentile ranks, etc. From these values, the categories are defined in ‘category_bsln’
category_bsln the baseline category based on the bsln column
N_HIIE sample size of the HIIE (High-intensity Interval Exercise) group
Mean_HIIE mean difference between pre- and post-training in the HIIE (High-intensity Interval Exercise) group
SD_HIIE standard deviation of the difference between pre- and post-training in the HIIE (High-intensity Interval Exercise) group
N_MICT sample size of the MICT (Moderate-intensity Continuous Training) group
Mean_MICT mean difference between pre- and post-training in the MICT (Moderate-intensity Continuous Training) group
SD_MICT standard deviation of the difference between pre- and post-training in the MICT (Moderate-intensity Continuous Training) group
HIIE the type of HIIE used in the study: it may be either: HIIT (High-intensity Interval Training) or SIT (Sprint Interval Training)
desired_effect the desired effect expected for post-training improvements. This is needed simply to display the effects related to HIIE and MICT on the same side of the forest plot throughout the clinical endpoints}