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Reason: The dataset includes unpublished data that related to the ongoing and long-term future research. Therefore the author would like to keep it restricted.

Supporting data for Effects of low-frequency high-intensity interval training on improving obesity and depression

dataset
posted on 2022-01-12, 04:00 authored by Chun Yip Chin, Ming Fai Parco SiuMing Fai Parco Siu

This folder contains 4 datasets for the investigation of the effects of high-intensity interval training HIIT and aerobic exercise on managing obesity and depression.

The dataset for the study investigating the different frequencies of HIIT with those of moderate-intensity continuous training (MICT) on body composition in overweight or obese adults. Outcome measure were examined at baseline, after 4 weeks, and after 8 weeks of intervention.

The dataset for the study investigating the effects of long-term effect of low-frequency high-intensity interval training (HIIT) on body adiposity and live fat in obese adults. Outcome measure were examined at baseline and after one year of intervention.

The dataset for the study investigating the effect of once-a-week HIIT and once-a-week MICT on reducing body adiposity in adults with central obesity. Outcome measure were examined at baseline and after 12 weeks of intervention.

The dataset for the study investigating the influence of different exercise frequencies and intensities on prescribed aerobic-type physical activity (i.e., 75 minutes of vigorous- or 150 minutes of moderate-intensity exercise weekly) for reducing depressive symptoms in older adults living with insomnia as recommended by the World Health Organization (WHO). Outcome measure were examined at baseline and after 12 weeks of intervention.


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