The Influence of Quality of Sleep and Physical Activity on Physical Fitness

Kriswanto, Erwin Setyo; Prasetyowati, Indah; Sunardi, Jaka; Suharjana, Fredericus

doi:10.5220/0009788804650470

Cited by 3 publications

(3 citation statements)

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“…(4) Kualitas tidur dapat dijaga dengan cara mengatur pola tidur dan rutin untuk melakukan aktivitas fisik. (5) Dari survei yang telah dilakukan secara global, 70% mahasiswa kedokteran di Hong Kong merasakan kualitas tidur yang buruk selama masa pendidikan. Terdapat pula 62,6% mahasiswa kedokteran India, 77% mahasiswa kedokteran Pakistan dan 35,5% mahasiswa kedokteran Malaysia merasakan hal yang sama.…”

Section: Pendahuluanunclassified

Hubungan Kualitas Tidur dengan Tingkat Prestasi Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan Universitas Warmadewa

Made Fernanda Arya Dharma,

I Made Pariartha,

Ni Wayan Diana Ekayani

2024

amj

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Mahasiswa kedokteran memiliki angka prevalensi kualitas tidur yang buruk lebih tinggi dibandingkan dengan populasi mahasiswa lainnya. Adanya waktu tidur yang tidak normal dapat berhubungan kepada stress akademik. Melihat besarnya pengaruh kualitas tidur seseorang terhadap pencapaian prestasi belajar, maka dari itu diperlukan sebuah penelitian yang mengkaji kondisi ini pada cakupan yang lebih spesifik seperti di Fakultas Kedokteran dan Ilmu Kesehatan Universitas Warmadewa. Tujuan dari penelitian ini adalah untuk mengetahui hubungan kualitas tidur dengan tingkat prestasi mahasiswa FKIK Universitas Warmadewa angkatan 2019, 2020, dan 2021. Penelitian ini merupakan penelitian analitik dengan menggunakan desain Cross Sectional Study. Pengumpulan data dilakukan menggunakan kuesioner Pittsburgh Sleep Quality Index (PSQI) yang selanjutnya dianalisis menggunakan aplikasi SPSS dengan metode uji statistik korelasi Rank Spearman. Hasil penelitian menggambarkan kualitas tidur pada setiap angkatan didominasi oleh kualitas tidur buruk dengan rincian 65,6% pada angkatan 2019, 75,4% pada angkatan 2020 dan 73,7% pada angkatan 2021. Tingkat prestasi mahasiswa angkatan 2019 didominasi oleh indikator unggul (56,6%), angkatan 2020 dengan indikator unggul (60,8%), dan angkatan 2021 dengan indikator baik sekali (71,8%). Hasil analisis korelasi menyatakan bahwa terdapat korelasi positif yang signifikan namun tergolong dalam korelasi yang sangat lemah pada angkatan 2019 (r = 0,242; p<0,01), 2020 (r = 0,247; p<0,01), dan 2021 (r = 0,216; p<0,01).

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Section: Pendahuluanunclassified

Hubungan Kualitas Tidur dengan Tingkat Prestasi Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan Universitas Warmadewa

Made Fernanda Arya Dharma,

I Made Pariartha,

Ni Wayan Diana Ekayani

2024

amj

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“…It means that physical activity has a significant effect on physical fitness. The positive correlation coefficient indicates that the higher the physical activity score (MET), the higher the physical fitness score (VO2Max) (Kriswanto, Prasetyowati, Sunardi, & Suharjana, 2020). However, a study by Nainggolan et al, (2018) indicated that there is no correlation between GPAQ version 2 and VO2Max using ergocycle with astrand method in women aged 25 to 54 years old (r: 0,070; p: 0,4465).…”

Section: Figure 2 Correlation Matrix Among Ipaq Gpaq and Vo2maxmentioning

confidence: 99%

Does GPAQ exhibit a higher correlation with the maximum oxygen capacity than IPAQ among young adults?

Maulana

Arovah

2021

j. Sport Area

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International Physical Activity Questionnaire (IPAQ) and the Global Physical Activity Questionnaire (GPAQ) are the two most widely used to measure physical activity (PA). Yet, their convergent validation with the maximum oxygen capacity (VO2Max) among Indonesian young adults is unknown. This study compared physical activity (PA) assessments using IPAQ and GPAQ and their correlations with the maximal oxygen capacity (VO2Max) in the young adult population. This study was a cross-sectional descriptive study on 63 Sports Science students (84.13% Male age ranged 18-22 years). PA was measured using both the GPAQ and IPAQ to calculate the total PA and PA in each domain (i.e. work-related, transport-related, and leisure). One additional domain which was household-related was assessed exclusively for the IPAQ based on the scoring guideline. The VO2Max was measured using a standard equation based on participants’ performance on a 1-mile run. Paired sample t-test was conducted to compare total PA based on GPAQ and IPAQ while the Wilcoxon sign rank test was conducted to compare GPAQ and IPAQ domains. Pearson or Spearman correlation test assessed the correlations among the VO2Max, total PA, and PA on each GPAQ’s and IPAQ domain. No significant difference in the total PA per week between IPAQ and GPAQ was found. Significant differences, however, were found in work and transport domains, but not in the leisure domains. A moderate correlation among GPAQ and IPAQ (r=0.56, p=0.01), a moderate correlation between GPAQ and VO2Max (r=0.41, p= 0.01) but a weak correlation between IPAQ dan VO2Max (r=0.25, p<0.05) were demonstrated. While, this study has indicated convergent validity of both GPAQ and IPAQ, GPAQ has a higher correlation with VO2Max compared to the IPAQ. Therefore, GPAQ is more recommended to be used to measure PA levels among Indonesian young adults compared to IPAQ.

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“…Fitness cannot exist suddenly (Chen et al, 2018). In addition, physiological factors, encompassing the heart's ability to pump blood, cells' capacity to produce energy (Fahey et al, 2015;Permatasari et al, 2018), metabolism process (Kriswanto et al, 2020), and anti-aging (Miyamoto et al, 2017), also affect physical fitness. Physical fitness is also of great benefit in reducing the possibility of injury (Titis, 2015).…”

Section: Introductionmentioning

confidence: 99%

Act.Fit Application of Adult Physical Fitness Measurement in Indonesia

Andrianto,

Kriswanto,

Sari

et al. 2023

Retos

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This research is part of development research using the Borg and Gall method and the development method. The expected goal of this research is to develop an Android-based "Act.Fit" application that allows adults to measure physical fitness independently, test the validity and reliability of physical fitness measurement instruments through an Android-based application "Act.Fit". The steps for developing an Android-based application "Act.Fit". This study involved 40 adults as research subjects. Data collection was carried out through an online questionnaire as a physical fitness instrument based on the "Act.Fit" application. The results of the assessment of material experts, media experts, and fitness practitioners on the "Act.Fit" Android-based application are: 1) Material experts give an average score of 4.47 in the "very good" category, 2) Media experts give an average score of 4 .42 in the "very good" category, 3) fitness practitioners gave an average score of 4.81 in the "very good" category. The validity test produces a score of 0.939 which indicates validity. The reliability test produces a score of 0.950, proving that the product is reliable, 5) Small group users give an average score of 3.65 in the "good" category, and 6) The large group gives an average score of 4.47 with a score of "very good" Good". After going through a series of research stages above, the final product of the "Act.Fit" application is ready to be used by the wider community in the following research year. Keywords: app, android, physical fitness, act.fit

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The Influence of Quality of Sleep and Physical Activity on Physical Fitness

Cited by 3 publications

References 0 publications

Hubungan Kualitas Tidur dengan Tingkat Prestasi Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan Universitas Warmadewa

Hubungan Kualitas Tidur dengan Tingkat Prestasi Mahasiswa Fakultas Kedokteran dan Ilmu Kesehatan Universitas Warmadewa

Does GPAQ exhibit a higher correlation with the maximum oxygen capacity than IPAQ among young adults?

Act.Fit Application of Adult Physical Fitness Measurement in Indonesia

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