Faktor Risiko Kasus Diabetes Mellitus Tipe 2 Dengan Ulkus Diabetik Di Rsud Kabupaten Sidrap

Adri, Khaeriyah; Arsin, A. Arsunan; Thaha, Ridwan Mochtar

doi:10.30597/jkmm.v3i1.10298

Cited by 4 publications

(4 citation statements)

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“…Pada Asia Tenggara tercatat 82 juta pada tahun 2017. Indonesia merupakan negara ke-7 dari 10 besar negara yang diperkirakan memiliki jumlah penderita Diabetes Mellitus sebesar 5,4 juta pada tahun 2045 serta memiliki angka kendali kadar gula darah yang rendah (Adri et al, 2020).…”

Section: Pendahuluanunclassified

Socio-Cultural Aspects of the Risk of Diabetes Mellitus in Tolotang Traditional Chairman (UWA) in Sidrap District

Agustin¹,

Usman²,

Umar³

2022

ihj

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Pendahuluan: Tingginya kasus Diabetes Mellitus di Sulawesi Selatan khususnya di Kabupaten Sidrap, mencapai (2,7%) sedangkan angka prevalensi nasional (2,1%). Budaya Tolotang sangat menghormati ketua adat dengan menyajikan makanan manis sehingga berisiko Diabetes Mellitus. Tujuan: Penelitian ini untuk mengidentifikasi sosial budaya dan pola makan terhadap risiko Diabetes Mellitus pada ketua adat Tolotang. Metode: Jenis penelitian adalah mix method. Informan pada penelitian ini adalah ketua adat dan masyarakat Tolotang di Kabupaten Sidrap. Pengambilan sampel dilakukan dengan metode snowball sampling. Hasil: Hasil penelitian diperoleh terkait sosial budaya, masyarakat sering menyajikan jenis makanan berat yang tinggi kalori dan karbohidrat disertai cemilan berupa kue dan minuman manis. Penyajiaan makanan untuk ketua adat saat tradisi disajikan dan disiapkan khusus diatas baki’ (nampan bulat besar terbuat dari besi) yang berisikan nasi beserta lauk pauk kemudian menggunakan bosara (wadah khas Bugis Makassar yang digunakan untuk menyajikan kue) yang diisi berbagai jenis cemilan kue. Beda halnya dengan masyarakat yang menyajikan makanan seperti biasanya, dengan mengambil makanan sendiri yang memang sudah disiapkan saat ritual tersebut. Hasil penelitian diperoleh (60,0%) ketua adat mengalami DM berdasarkan kadar gula darah sewaktu. Konsumsi kalori ketua adat (35,0%) lebih dan (50,0%) cukup. Konsumsi karbohidrat (35,0%) lebih dan (55,0%) cukup. Kesimpulan: Disimpulkan bahwa pola makan ketua adat rata-rata tinggi kalori yang banyak mengandung sumber karbohidrat dan lemak. Disarankan perlunya edukasi kepada masyarakat untuk menyajikan makanan yang lebih sehat yang rendah kalori dan tinggi serat seperti sayur dan buah-buahan.

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Section: Pendahuluanunclassified

Socio-Cultural Aspects of the Risk of Diabetes Mellitus in Tolotang Traditional Chairman (UWA) in Sidrap District

Agustin¹,

Usman²,

Umar³

2022

ihj

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“…Penyakit diabetes mellitus diklasifikasi menjadi diabetes mellitus tipe I, diabetes mellitus tipe II, diabetes mellitus tipe gestasional dan tipe lainnya. Diabetes mellitus tipe 2 (DMT2) merupakan tipe diabetes yang paling sering di derita oleh masyarakat dan menjadi penyumbang sekitar 90% -95% penderita diabetes mellitus di seluruh populasi (Adri et al, 2020). International Diabetes Federation menyebutkan bahwa penderita diabetes mellitus Tipe 2 mencapai 415 juta di tahun 2015 dan angka ini diperkirakan terus meningkat menjadi 642 juta di tahun 2040 (International Diabetes Federation, 2019).…”

Section: Pendahuluanunclassified

Type 2 Diabetes In Urban and Rural Areas: A Comparative Study

Bujawati¹,

Awaliah

Ansar³

2021

Al-sihah

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Diabetes mellitus type 2 is one of the degenerative diseases whose mortality and morbidity rates continue to increase, both in urban and rural areas. Bulukumba Regency is one of the areas with the highest prevalence of type 2 diabetes mellitus. This study aimed to determine the differences in the determinants of the incidence of type 2 diabetes mellitus in urban and rural areas of the Bulukumba Regency in 2021. The type of research used is quantitative with an observational analytic approach and a cross-sectional study design. The population in this study were all people with type 2 diabetes mellitus in urban and rural areas of the Bulukumba Regency. The sample of this study amounted to 210 respondents consisting of 140 respondents in urban areas and 70 respondents in rural areas who were taken using purposive sampling technique with inclusion criteria, namely patients who do not have comorbidities or complications such as coronary heart disease, stroke, and kidney failure as well as patients who are not pregnant at the time of this study. Data were analyzed using the chi-square test. The results of this study indicate that there are differences in consumption of sugar-sweetened beverages (p = 0.032), consumption of fast food (p = 0.044), physical activity (p =0.001), and economic status (p=0.04) of people with type 2 diabetes mellitus in urban and rural areas. Meanwhile, there was no difference in smoking behavior (p=0.404) with type 2 diabetes mellitus in urban and rural areas of the Bulukumba Regency. Management of type 2 diabetes mellitus is important as early as possible so that the morbidity rate due to diabetes can be reduced in the future. The different risk factors between urban and rural areas should be taken into account.

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“…Indeed, it makes it more difficult for medical personnel to diagnose patients. If the wound in diabetic ulcer patients is not treated properly, the patient can experience amputation which causes physical disability, decreased quality of life, and even death [5]. In recent years, there have been many researchers who have studied deep learning methods that are considered effective for recognizing diabetic ulcers [6]- [21].…”

Section: Introductionmentioning

confidence: 99%

Classification of diabetic foot ulcer using convolutional neural network (CNN) in diabetic patients

Harahap

Anjelli²,

Sinaga³

et al. 2022

J.INFOTEL

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The image of chronic wounds on human skin tissue has the similar look in shape, color and size to each other even though they are caused by different diseases. Diabetic ulcer is a condition where peripheral arterial blood vessels are disrupted due to hyperglycemia in people with diabetes mellitus. This research was aimed to analyze the accuracy of the Convolutional Neural Network algorithm in classifying diabetic ulcer disease with a transfer learning approach based on the appearance of the image of the wound on the sole in people with diabetes mellitus. By applying the transfer learning approach, the results showed that the Resnet152V2 model achieved the best accuracy value of 0.993 (99%), precision of 1.00, recall of 0.986, F1-Score of 0.993 and Support of 72. Therefore, the ResNet152V2 model was highly considered for classifying diabetic ulcer in patients with diabetes melitus.

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Faktor Risiko Kasus Diabetes Mellitus Tipe 2 Dengan Ulkus Diabetik Di Rsud Kabupaten Sidrap

Cited by 4 publications

References 1 publication

Socio-Cultural Aspects of the Risk of Diabetes Mellitus in Tolotang Traditional Chairman (UWA) in Sidrap District

Socio-Cultural Aspects of the Risk of Diabetes Mellitus in Tolotang Traditional Chairman (UWA) in Sidrap District

Type 2 Diabetes In Urban and Rural Areas: A Comparative Study

Classification of diabetic foot ulcer using convolutional neural network (CNN) in diabetic patients

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