Open access Journal
Perilaku Pencegahan dan Kondisi Jamban dengan Kejadian COVID-19 pada Lansia
Indonesian Journal of Public Health and Nutrition · Vol. 3 No. 3 (2023) · pp. 306–315
- ISSN
- 2776-9968, 2798-4265
- Published
- 2023-11-30
- Publisher
- Center for Public Health Nutrition Studies, Universitas Negeri Semarang, Indonesia
- Language
- eng
Abstract
Background: The elderly have a high risk of being infected with COVID-19. The highest cases in Purbalingga Regency were in the area of Kalimanah Primary Healthcare Center, namely 2,268 cases. This research is to determine the relationship between prevention behavior and latrine condition with the incidence of COVID-19 in the elderly in the area of Kalimanah Primary Healthcare Center of Purbalingga Regency. Methods: This type of research is observational analytic with a case control design. The sample set is 36 cases and 36 controls using purposive sampling technique. The instrument used is a questionnaire, observation sheets, and meter. Bivariate analysis with chi square test. Results: The results showed that there was a relationship between COVID-19 prevention knowledge (p-value = 0,005), COVID-19 prevention attitude (p-value= 0,018), and hand washing practices (p-value= 0,033) with the incidence of COVID-19 in the elderly. There is no relationship between the practice of managing waste masks (p-value= 0,579), fruit and vegetable consumption (p-value= 0,443), physical activity (p-value= 0,777), and latrine condition (p-value= 0,593) with the incidence of COVID-19 in the elderly. Conclusion: Efforts are needed to increase education about the application of health protocols to prevent the transmission of COVID-19 in the elderly.
Collaboration network of the authors
40 authors · 85 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Mahalul Azam | Affiliation unknown | 3 |
| Irwan Budiono | Affiliation unknown | 3 |
| Widya Hary Cahyati | Affiliation unknown | 3 |
| Widya Hari Cahyati | Affiliation unknown | 3 |
| Tandiyo Rahayu | Affiliation unknown | 2 |
| R Susanti | Affiliation unknown | 2 |
| Oktia Woro Kasmini Handayani | State University of Semarang | 2 |
| Nur Rohmawati | Affiliation unknown | 1 |
| Siswanti Siswanti | Affiliation unknown | 1 |
| Erika Prihatiningsih | Affiliation unknown | 1 |
| Muhammad Hakam Arifin | Affiliation unknown | 1 |
| Ina Yuliana | Affiliation unknown | 1 |
| Nita Suryaningsih | Affiliation unknown | 1 |
| Lukman Fauzi | Affiliation unknown | 1 |
| Alfiana Ainun Nisa | Affiliation unknown | 1 |
| Rezqy Laili Munthari | Affiliation unknown | 1 |
| Pangesty Tisna Wahyu Nurcahyani | Affiliation unknown | 1 |
| Ayu Tri Ismiati | Affiliation unknown | 1 |
| Agita Kusuma Dewi | Affiliation unknown | 1 |
| Imam Subhi | Affiliation unknown | 1 |
| Syahrina Nurul Hikmah | Affiliation unknown | 1 |
| Amira Isnaini Mahmudah | Affiliation unknown | 1 |
| Anastasya Meliza Friska | Affiliation unknown | 1 |
| Hesti Tri Lestari | Affiliation unknown | 1 |
| Nurul Hidayah | Affiliation unknown | 1 |
| Dina Nur Anggraini Ningrum | Affiliation unknown | 1 |
| Elisa Ulfiana | Affiliation unknown | 1 |
| Hari Wardono | Affiliation unknown | 1 |
| Sulistiyowati | Affiliation unknown | 1 |
| Yunita Rohmawati Basuki | Affiliation unknown | 1 |
| Dyah Rini Indriyanti | Affiliation unknown | 1 |
| Nadila Lupita Puteri | Affiliation unknown | 1 |
| Anisa Viola Pitaloka | Affiliation unknown | 1 |
| Kwik Vida Arianti Hadinata | Affiliation unknown | 1 |
| Annisa Pramitasari | Affiliation unknown | 1 |
| La’elatul Fazriyah | Affiliation unknown | 1 |
| Indah Septiani | Affiliation unknown | 1 |
| Sri Maharsi | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.