Sugimoto, Hiroshi
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Health Promotion in Okinawa (Japan) and Indonesia from the Perspective of Blue Zones and Healthy Longevity Hokama, Naoki; Sato, Mayumi; Seto, Kiyoka; Djaya, Andi Muhammad Fiqri Muslih; Tamura, Yuki; Imura, Kiyoko; Sugimoto, Hiroshi
Indonesian Contemporary Nursing Journal (ICON Journal) Vol. 9 No. 2 (2025): Volume 9 Nomor 2 Februari 2025
Publisher : Faculty of Nursing, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/icon.v9i2.43245

Abstract

In March 2024, I had the opportunity to visit the city of Loma Linda, California, USA, for training. Loma Linda is a green town with a population of about 25,000, where residents exhibit a high level of health consciousness, particularly in their diet. I learned that this area has been attracting attention since around 2000 as a so-called "Blue Zone." Therefore, we will focus on the "Blue Zones," known as regions of healthy longevity, with a particular emphasis on comparing Okinawa Prefecture (Japan) and Loma Linda, California, USA. The current status and challenges of health promotion in Indonesia and future possibilities for health promotion strategies will be examined.
Survival analysis of COVID-19 outcomes in pregnant and non-pregnant women: A secondary data study Retnaningsih, Listyana Natalia; Fadlilah, Siti; Suharto, Agus; Widaryanti, Rahayu; Sugimoto, Hiroshi; Arifin, Hidayat
Pediomaternal Nursing Journal Vol. 11 No. 1 (2025): VOLUME 11 NO 1 MARCH 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/pmnj.v11i1.65421

Abstract

Introduction: Pregnant women are a population vulnerable to health problems. The morbidity and mortality of pregnant women with COVID-19 are higher compared with the rest of the population. This study aims to determine the survival rate of pregnant versus non-pregnant women with COVID-19. Methods: The study used a retrospective observational cohort design. Data were collected from Dr Soeradji Tirtonegoro and Penembahan Senopati hospitals on patients treated between March 2020 and June 2022. A total of 923 women diagnosed with COVID-19 were included in the study. Sociodemographic and clinical data on patient characteristics were extracted from medical records. Data analysis was conducted using Kaplan-Meier and Cox regression analyses to estimate survival probability and investigate predictors of death, with a 5% significance level. Results: Among 932 women with COVID-19, 231 deaths occurred. The median survival time for all participants was 30.56 days, while for pregnant women, it was 11.21 days, and for pregnant women with comorbidities, it was 9.68 days. Years of treatment, age, comorbidities, number of comorbidities and pregnancy were associated with survival rate (P-value < 0.001). Consistent results were also obtained for pregnant women’s age and number of comorbidities (P-value < 0.05). Significant differences between pregnant and non-pregnant patients remained after adjustment for year, sex, age and hospital type (P-value < 0.001). Conclusion: Pregnant women with COVID-19 have a higher risk of death compared with non-pregnant women. Keywords: comorbidity; COVID-19, female; pregnant women; survival analysis