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Smoking behavior is one of the factors that risk the infections diseases. The reason why someone smokes can be because of lacking of knowledge, family influence, friends and advertisement.
Diabetes melitus (DM) menjadi salah satu masalah kesehatan utama di Indonesia, yang menduduki peringkat ke-5 dunia dengan jumlah penderita terbanyak, diperkirakan akan meningkat menjadi 29 juta kasus pada tahun 2045. Keparahan DM sering kali dikaitkan dengan komplikasi jangka panjang seperti gangguan jantung, stroke, dan kerusakan saraf. Salah satu indikator untuk mengukur keparahan DM adalah kadar HbA1c, yang mencerminkan kontrol gula darah dalam jangka panjang. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan keparahan diabetes melitus pada pasien di RS Universitas Indonesia (RS UI) Poli IPD Tahun 2022-2023, dengan menggunakan kadar HbA1c sebagai indikator keparahan.
Metode yang digunakan dalam penelitian ini adalah cross sectional dengan teknik pengambilan data dengan purposive sampling. Pengambilan data dilakukan dengan membuka website cengkeh.ui.ac.id bagian CPPT (SOAP Notes) untuk membaca catatan dokter dan ners, serta membuka Medical Support Result untuk membaca lebih lanjut hasil lab yang dijalani pasien. Total data yang dikumpulkan oleh peneliti sebanyak 129 orang dari data rekam medis pasien DM 2022-2023 di Poli IPD RS UI. Peneliti akan mengolah data dengan cara analisis univariat untuk mendeskripsikan distribusi frekuensi, serta analisis bivariat menggunakan uji chi-square untuk melihat hubungan antar variabel. Hasil penelitian menunjukkan bahwa 38,8% pasien DM di RS UI dalam kondisi parah dengan kadar HbA1c ≥8%, dengan mayoritas pasien (78,3%) berusia lanjut (≥60 tahun), 53,5% berjenis kelamin perempuan, dan 70,5% menggunakan pembiayaan melalui BPJS. Analisis bivariat menunjukkan adanya hubungan yang signifikan antara variabel usia, GDP kadar LDL, trigliserida, dan riwayat keluarga dengan tingkat keparahan DM (p-value <0,05).
Diabetes mellitus (DM) is a major health issue in Indonesia, ranking 5th worldwide with the highest number of sufferers, and it is estimated to increase to 29 million cases by 2045. The severity of DM is often associated with long-term complications such as heart disease, stroke, and nerve damage. One of the indicators used to measure the severity of DM is the HbA1c level, which reflects long-term blood glucose control. This study aims to identify factors that are related to the severity of diabetes mellitus in patients at the RS Universitas Indonesia (RS UI) Internal Medicine Outpatient Department (IPD) from 2022 to 2023, using HbA1c levels as an indicator of severity. The method used in this study is cross-sectional with data collection techniques using purposive sampling. Data collection was carried out by opening the cengkeh.ui.ac.id website in the CPPT (SOAP Notes) section to read the doctor's and nurse's notes, as well as opening the Medical Support Results to read more about the patient's lab results. The total data collected by researchers was 129 people from medical records of 2022-2023 DM patients at the UI Hospital IPD Polyclinic. Researchers will process the data using univariate analysis to describe the frequency distribution, as well as bivariate analysis using the chi-square test to see the relationship between variables. The results showed that 38.8% of DM patients at UI Hospital were in severe condition with HbA1c levels ≥8%, with the majority of patients (78.3%) being elderly (≥60 years), 53.5% female, and 70 .5% uses financing through BPJS. Bivariate analysis showed a significant relationship between the variables age, fasting plasma glucose, LDL levels, triglycerides, and family history with the severity of DM (p-value <0.05).
This study discusses about emergency and disaster management of University of Indonesia in 2016. It is descriptive study with qualitative approach that describes emergency and disaster management aspect based on plan-do-check-action (PDCA) framework. The result of the study is obtained through in-depth interviews, observation and review of related document.
Background: Anxiety is a psychological condition characterized by excessive worry and profound tension, often without a clear trigger. This phenomenon has become a serious concern, particularly among university students. The emergence of the Indonesia Gelap hashtag on social media reflects public unease, especially among the younger generation, regarding social, political, and economic uncertainty. This situation can trigger psychological distress, including anxiety. University students, as a young adult age group active on social media, are particularly susceptible. Method: This study employed a cross-sectional design and involved 191 active University of Indonesia students from the 2022 cohort, spanning various faculties and study programs. Sampling was conducted using a proportional cluster random sampling technique. Research instruments consisted of three questionnaires: perception towards the Indonesia Gelap hashtag (developed by the researcher), the IUS-12 to measure intolerance of uncertainty, and the DASS-21 anxiety scale. Data were analyzed univariately and bivariately using the chi-square test. Result: The majority of respondents had a negative perception of the Indonesia Gelap hashtag (55%) and a high level of intolerance of uncertainty (55.5%). Bivariate test results showed a significant relationship between perception of the Indonesia Gelap hashtag and anxiety (p = 0.007), intolerance of uncertainty and anxiety (p < 0.001), anxiety and intolerance of anxiety (p < 0.001) Conclusion: Perception of the Indonesia Gelap hashtag narrative and intolerance of uncertainty have a significant relationship with students' anxiety levels.
