Correction to: JUARA: Jurnal Olahraga
https://doi.org/10.33222/juara.v4i2.566
This article was originally published using English metadata in the article title and this is our fault. but now the article metadata has been changed in Indonesian and appears correctly in the current article.
Background: Physical exercise cannot be separated with body sweating, which is one of effort the body to maintain the homeostatic and thermoregulation. the factor of sweat rate is environment condition, for examples are room temperature and relative humidity. Aim: Compare physical exercise in two different environmental conditions, including at night and in the morning to the sweat rate. Method: The quantitative research design with descriptive design uses a one shot case study. Using as many as 40 male students divided into four groups. Result: To find out the differences between the two groups, this study used independent samples t-test. The group continuous running activity in the morning and at night has an average sweat rate as much as 0,49 liter ± 0,28 and 0,62 liter ± 0,31 with the value of (p > 0,05). The group cycing with HIIT activity in the morning and at night has an average sweat rate as much as 0,34 liter ± 0,177 and 0.42 liter ± 0,176 with the value of (p > 0,05). Conclusion: The average sweat rate of night physical exercise is more than the average sweat rate in the morning, even though there is no significant difference between both.Keywords: Relative humidity, night physical exercise, morning physical exercise, sweat rate, thermoregulation
One of the efforts to prevent the overreaching condition is by doing a recovery phase after exercise. The quality and quantity of recovery influence the effectiveness of recovery. The effectiveness of recovery can be observed by heart rate and body temperature after recovery. This study aims to compare active recovery and passive recovery after moderate-intensity continuous training on heart rate and body temperature. The research method used is quasi-experimental and uses a two-group pre and post-test design. Based on the Pocock formula, the research subjects used were 40 women aged 24 years to 35 years. The data collected include heart rate and body temperature. The data analysis techniques used were normality test, treatment effect test (paired sample t-test), and difference test (independent samples t-test). The results showed that active recovery was better than passive recovery to optimizing post-exercise heart rate (p<0.05). Active recovery was better than passive recovery in optimizing body temperature (p<0.05). It was concluded that active recovery after moderate-intensity continuous training was better than passive recovery to optimize post-exercise recovery and prevent overreaching.
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