Aims: There were concrete experience and efforts from Australian and Indonesian government in reducing cases of obesity in society. Cases of obesity among school children in Indonesia have increased with its serious impact. The aim of this research is to compare health promotion models in elementary schools in Indonesia and Australia to reduce obesity prevalence. Study Design: This study used was qualitative approach, with research focus are health promotion models related to efforts to reduce childhood obesity prevalence in Indonesia and Australia. Place and Duration of Study: Place of study was in elementary schools in Semarang City,

BackgroundData on COVID-19 clinical characteristics and severity from resource-limited settings are limited. This study examined clinical characteristics and factors associated with COVID-19 mortality and hospitalisation in rural settings of Indonesia, from 1 January to 31 July, 2021.MethodsThis retrospective cohort included individuals diagnosed with COVID-19 based on polymerase chain reaction or rapid antigen diagnostic test, from Lampung, Gorontalo, Central Sulawesi, Southeast Sulawesi, and East Nusa Tenggara Provinces. We extracted demographic and clinical data, including hospitalisation and mortality from COVID-19 surveillance records. We used mixed-effect logistic regression to examine factors associated with COVID-19-related mortality and hospitalisation.ResultsOf 6,583 confirmed cases, 205 (3.1%) died, and 1,727 (26%) were hospitalised. The median age was 37 years (IQR 26-52), with 825 (12·53%) under 20 years, and 3,371 (51.21%) females. 4,533 (68.86%) cases were symptomatic, 319 (4.85%) had a clinical diagnosis of pneumonia, and 945 (14.36%) with at least one pre-existing comorbidity. The mortality and hospitalisation rate ranged from 2.0% and 13.4% in East Nusa Tenggara to 4.3% and 36·1% in Lampung. Age-specific mortality rates were 0.9% (2/340) for 0-4 years; 0% (0/112) for 5-9 years; 0.2% (1/498) for 10-19 years; 0.8% (11/1,385) for 20-29 years; 0.9% (12/1,382) for 30-39 years; 2% (23/1,095) for 40-49 years; 5% (57/1,064) for 50-59 years; 11% (62/576) for 60-69 years; 16% (37/232) for ≥70 years. Older age, pre-existing diabetes, liver diseases, malignancy, and pneumonia were associated with higher risk of mortality and hospitalisation. Pre-existing hypertension, cardiac diseases, chronic kidney disease, COPD, and immunocompromised condition were associated with risk of hospitalisation but not with mortality.ConclusionClinical characteristics and risk factors of severe COVID-19 outcomes in rural provinces were broadly similar to those in urban settings. The risk of COVID-19-related mortality and hospitalisation was associated with higher age, pre-existing chronic comorbidities, and clinical presentation of pneumonia.

One of the pillars in achieving good sport achievement is athlete's nutritional status. Preliminary study on martial arts athletes in Student Sport Education and Training Central Office (BPPLOP) of Central Java Province showed that 8% of athletes had malnutrition. Survey of athlete's consumption showed that average of energy consumption was only 74% from the number of energy requirement. The aim of this study was to test the effectiveness of smartphone application model "Nutriatlet" to increase energy intake of athletes. This study was conducted in 2017 using pre and posttest with control group design. We recruited 30 athletes with 15 athletes in each treatment and control group. Bivariate analysis was performed using cox proportional-hazard test. The output of statistical analysis were p value, median post-intervention duration, and hazard ratio (HR). The analysis was performed using STATA 12.1. The result showed that the athletes which performed dietary planning using Nutriatlet had 4 times higher possibilities to achieve an increase in energy consumption level ≥10% per time unit compared to athletes who did not do it.

Sistem politik Indonesia sudah dinamis dan mampu mengikuti perkembangan zaman. Hal tersebut terbukti dengan program e-government, yaitu penggunaan teknologi informasi dan komunikasi dalam penyelenggaraan pemerintahan untuk meningkatkan kinerja dan hubungan antar pemerintah dengan pihak-pihak lain. Salah satu jenis e-government adalah Government To Citizen (G2C), yaitu penyampaian informasi dan layanan publik secara searah dari pemerintah ke masyarakat. Bagian dari Government To Citizen adalah website resmi pemerintah sebagai media penyampaian informasi pemerintah kepada masyarakat yang mulai diterapkan di setiap daerah Indonesia salah satunya Kota Bandung yaitu website resmi Kota Bandung. Namun, pada kenyataannya penyampaian informasi melalui website belum efektif. Hal tersebut diketahui dari penelitian yang ditulis dalam sebuah makalah ilmiah berjudul “Efeketivitas E-Government melalui Banserv Pada Kota Bandung”. Rumusan masalah pada penelitian ini, yaitu bagaimana cara untuk meningkatkan efektivitas website resmi Kota Bandung dalam mengoptimalkan program e-government?. Penelitian ini dilakukan dengan penyebaran angket kepada masyarakat Kota Bandung. Pada hasil penelitian yang telah dilakukan, ditemukan masalah, yaitu sebagian masyarakat tidak mengetahui website resmi Kota Bandung, bahkan masyarakat yang mengetahui tidak suka mengaksesnya, padahal website resmi Pemerintah Kota Bandung dapat memudahkan masyarakat untuk mendapatkan informasi lebih banyak. Hal tersebut menunjukan bahwa program e-government Kota Bandung pada salah satu media internet, yaitu website masih belum efektif, maka informasi tidak tersampaikan kepada masyarakat. Maka, diperlukan sebuah solusi untuk menyelesaikan permasalahan tersebut, yaitu melaui BanServ. BanServ (Bandung Service), adalah sebuah layanan notifikasi kepada masyarakat melaui handphone, yaitu adanya notifikasi berupa pesan singkat. Metode BanServ ini dapat menjadi salah satu alternatif solusi yang membantu pemerintah dalam penyampaian informasi.

Background Data on coronavirus disease 2019 (COVID-19) clinical characteristics and severity from resource-limited settings are limited. This study examined clinical characteristics and factors associated with COVID-19 mortality and hospitalisation in rural settings of Indonesia, from 1 January to 31 July, 2021. Methods This retrospective cohort included individuals diagnosed with COVID-19 based on polymerase chain reaction or rapid antigen diagnostic test, from five rural provinces in Indonesia. We extracted demographic and clinical data, including hospitalisation and mortality from a new piloted COVID-19 information system named Sistem Informasi Surveilans Epidemiologi (SISUGI). We used mixed-effect logistic regression to examine factors associated with COVID-19-related mortality and hospitalisation. Results Of 6,583 confirmed cases, 205 (3.1%) died and 1,727 (26.2%) were hospitalised. The median age was 37 years (Interquartile range 26–51), with 825 (12.6%) under 20 years, and 3,371 (51.2%) females. Most cases were symptomatic (4,533; 68.9%); 319 (4.9%) had a clinical diagnosis of pneumonia and 945 (14.3%) presented with at least one pre-existing comorbidity. Age-specific mortality rates were 0.9% (2/215) for 0–4 years; 0% (0/112) for 5–9 years; 0% (1/498) for 10–19 years; 0.8% (11/1,385) for 20–29 years; 0.9% (12/1,382) for 30–39 years; 2.1% (23/1,095) for 40–49 years; 5.4% (57/1,064) for 50–59 years; 10.8% (62/576) for 60–69 years; 15.9% (37/232) for ≥70 years. Older age, pre-existing diabetes, chronic kidney disease, liver diseases, malignancy, and pneumonia were associated with higher risk of mortality and hospitalisation. Pre-existing hypertension, cardiac diseases, COPD, and immunocompromised condition were associated with risk of hospitalisation but not with mortality. There was no association between province-level density of healthcare workers with mortality and hospitalisation. Conclusion The risk of COVID-19-related mortality and hospitalisation was associated with higher age, pre-existing chronic comorbidities, and clinical pneumonia. The findings highlight the need for prioritising enhanced context-specific public health action to reduce mortality and hospitalisation risk among older and comorbid rural populations.