Characteristics of Sleep Patterns in Patients Before COVID-19 Diagnosis

Authors

  • Agus Purnama STIKes Indonesia Maju
  • Irfan Hardian Universitas Muhammadiyah Jakarta
  • Dayana Noprida Universitas Muhammadiyah Jakarta
  • Hana Febriyanti Universitas Muhammadiyah Jakarta
  • Aisah Mamang Universitas Muhammadiyah Jakarta
  • Kemala Desi Wahidi Universitas Muhammadiyah Jakarta
  • Nurmawati Nurmawati Universitas Muhammadiyah Jakarta
  • Lusiana Primasari Universitas Muhammadiyah Jakarta
  • Rinawati Rinawati Universitas Muhammadiyah Jakarta
  • Sri Murtini Universitas Muhammadiyah Jakarta
  • Yusuf Dwiyanto Universitas Muhammadiyah Jakarta
  • Muhammad Hadi Universitas Muhammadiyah Jakarta
  • Nyimas Heny Purwanti Universitas Muhammadiyah Jakarta

DOI:

https://doi.org/10.30994/sjik.v10i1.604

Keywords:

Sleep Quality, Covid-19, immune System

Abstract

Sleep pattern is an important indicator for a person's immunity rather than being susceptible to infection. The purpose of this study was to describe the characteristics of respondents infected with Covid-19 and a history of sleep patterns before being infected. The method in this research is a quantitative description with the PSQI instrument as data collection related to sleep patterns, the sample used is 103 respondents with analysis using SPSS and Rapid Miner. The results showed that most of the respondents were female (56.3%), ages 26-35 (38.9%), higher education level (76.7%), private employees (52.4%), and the quality of sleep bad (53.4%). The conclusion in this study is that good or quality sleep is one of the key factors to maintain the immune system and body metabolism so that it can be immune from several infections that can enter the body, including the Covid-19 pandemic

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Published

2021-05-02

How to Cite

Purnama, A., Hardian, I., Noprida, D., Febriyanti, H., Mamang, A., Wahidi, K. D., … Purwanti, N. H. (2021). Characteristics of Sleep Patterns in Patients Before COVID-19 Diagnosis. STRADA : Jurnal Ilmiah Kesehatan, 10(1), 206–212. https://doi.org/10.30994/sjik.v10i1.604

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