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"TFR Indonesia sebesar 2,6 yang sudah berlangsung selama 10 tahun (2002-2012), ditambah dengan CPR yang masih rendah 57,9% dan unmet need yang masih tinggi 11,4%, menyebabkan tidak tercapainya tujuan KB, yaitu meningkatkan kualitas hidup manusia Indonesia. Stagnansi fertilitas ini adalah dampak dari perubahan pola determinan fertilitas yang terjadi di Indonesia. Untuk itu, peneliti ingin mengetahui lebih dalam lagi terkait perubahan pola determinan fertilitas berdasarkan wilayah dengan menggunakan indikator tingkat fertilitas dan beban KB. Penelitian ini menggunakan data SDKI 2012 dengan desain penelitian potong lintang dan jumlah sampel 23.239 WUS berstatus pernah kawin. Determinan prediktor yang diduga, yaitu (1) layanan kesehatan reproduksi (sumber pelayanan kontrasepsi KB, media informasi layanan KB, dukungan ber-KB); (2) karakteristik sosial ekonomi (pendidikan wanita, pendidikan suami/pasangan, pekerjaan suami/pasangan, pekerjaan wanita, status ekonomi keluarga, dan daerah tempat tinggal), dan (3) perilaku reproduksi wanita (umur kawin pertama, umur melahirkan pertama, jumlah anak yang diinginkan, selang kelahiran, mortalitas anak, jumlah perkawinan). Semua variabel prediktor signifikan terhadap wilayah dengan tingkat fertilitas dan beban KB, kecuali pekerjaan suami/pasangan. Kerjasama lintas sektor antara BKKBN dan Kemenkes dalam menanggulangi stagnansi fertilitas melalui peningkatan peran serta jaringan dan jejaring faskes KB dalam JKN dan meningkatkan promosi, KIE dan konseling terutama pada wilayah yang tingkat fertilitas dan beban KB tinggi.

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The TFR of Indonesia is about 2,6 for 10 years (2002-2012), where the CPR is low at 57,9% and the unmet need is high at 11,4%, it caused that the goal of Family Planning (FP) to improvement the quality life of Indonesia human is not reached. The stalling of fertility is impact from the fertility changes that happens in Indonesia. For it, the reseacher want to more know about the fertility changes that is based on areas with fertility level and FP load indicator. The research uses data of SDKI 2012 with cross sectional design and 23.239 samples of women who has been married. The predictor are (1) reproductive health service (source of FP services, media of FP informations, FP support); (2) socio-economy characteristics (education of woman and spouse, working status of woman and spouse, family households, and woman living), and (3) woman reproductive behaviour (age first of married, age of first bearing, desired family size preferences, time gap fertility, mortality of child, currently in union). All of the predictor are significants, except the working status of spouse. The teamwork among BKKBN and Kemenkes can solve the stalling of fertility through improvement for participation of FP facility networking in National Health Assurance and also promotions, KIE (Communication, Information, Education) and counseling, especially to area with high of fertility level and FP loan."

"ABSTRAKPrevalensi prediabetes terus meningkat baik secara nasional maupun global,dengan angka yang lebih tinggi dari prevalensi diabetes tipe-2. Individudengan prediabetes memiliki peningkatan risiko terkena diabetes tipe 2 danmunculnya penyakit kardiovaskular utama lebih awal. Penelitian ini bertujuanmengestimasi prevalensi, faktor-faktor risiko, serta model prediksi kejadianprediabetes pada penduduk usia produktif di Indonesia dengan desain studi cross sectional. Penelitian ini menggunakan data sekunder berasal dari Riset Kesehatan Dasar tahun 2013. Populasi penelitian adalah dewasa usia produktif 18 ? 64 tahun. Kriteria diagnostik berdasarkan kadar glukosa darah menurut pedoman American Diabetes Association (ADA) 2011 dan Perkumpulan Endokrinologi Indonesia (PERKENI) 2011. Analisis data menggunakan regresi logistik. Hasil penelitian menunjukkan prevalensi prediabetes sebesar 54,5%. Variabel prediktor untuk kejadian prediabetes pada penduduk usia produktif di Indonesia adalah umur, status sosial ekonomi, obesitas, hipertensi dan kebiasaan merokok. Semakin tua, terjadi peningkatan risiko mengalami prediabetes. Sementara pada subjek dengan obesitas berisiko 1,256 kali (OR 1,256; 95% CI 1,153-1,368) untuk mengalami prediabetes dibandingkan dengan IMT normal. Subjek dengan hipertensi berisiko 1,307 kali (OR 1,307; 95% CI 1,184-1,443) untuk mengalami prediabetes. Sementara subjek perokok berisiko 1,121 kali (OR 1.121; 95%CI 1.032-1.217) untuk mengalami prediabetes dibandingkan subjek tidak pernah merokok. Prediabetes masih dapat dikendalikan agar tidak menjadi diabetes maupun komplikasi kardiovaskular.

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ABSTRACTThe prevalence of prediabetes increase both nationally and globally, with a higher rate than prevalence of type 2 diabetes. Individuals with prediabetes have an increased risk of type 2 diabetes and the early emergence of major cardiovascular diseases. This study aims to estimate the prevalence, risk factors, and prediction of prediabetes models in the productive age population in Indonesia with cross sectional study design. This study uses secondary data came from Basic Health Research in 2013. The study population was productive adults aged 18-64 years. The diagnostic criteria based on the blood glucose level under the guidelines of the American Diabetes Association (ADA) in 2011 and the Society of Endocrinology Indonesia (PERKENI) 2011. Data were analyzed using logistic regression. Results showed the prevalence of prediabetes 54,5%. The predictor variables for prediabetes on the productive population in Indonesia are age, socioeconomic status, obesity, hypertension and smoking habits. Getting older, there is increased risk of having prediabetes. Subject with obesity at risk of 1,256 times (OR 1.256; 95% CI 1.153 to 1.368) to have pre-diabetes compared with normal BMI. Subjects with hypertension at risk of 1.307 times (OR 1.307; 95% CI 1.184 to 1.443) to have prediabetes. While the subject of smokers at risk of 1.121 times (OR 1,121; 95% CI 1032-1217) to have pre-diabetes than subjects had never smoked. Prediabetes can still be controlled so it not develop to diabetes and cardiovascular complications."

"Diabetes Mellitus merupakan suatu kelompok penyakit metabolik dengan karakteristik hiperglikemia dan dikenal sebagai penyakit multifaktorial. Faktor genetik dan faktor lingkungan seperti obesitas, nutrisi, dan aktivitas fisik mempunyai peranan yang penting dalam penyakit ini. Penelitian ini bertujuan mengetahui prevalensi DM di kota Ternate dan hubungannya dengan perilaku dan aktivitas fisik. Penelitian ini menggunakan metode cross-sectional melalui wawancara dengan menggunakan kuesioner yang telah diuji coba sebelumnya disertai pemeriksaan fisik dan pengukuran kadar glukosa darah puasa. Sampel dipilih secara multistage random sampling. Dari total 502 responden berusia diatas 20 tahun yang berpartisipasi didapatkan prevalensi DM sebesar 19,6%. Tidak terdapat hubungan bermakna antara faktor-faktor perilaku dengan DM. Prevalensi DM di kota Ternate cukup tinggi namun belum diketahui faktor-faktor yang mempengaruhi hal itu.......Diabetes mellitus is a group of metabolic diseases which is characterized by hyperglycaemia and also known as a multifactorial disease. Genetic and environment factor, such as obesity, nutrition and physical activity have big influence on this disease. The objective of this study is to acknowledge the prevalence of DM in Ternate and the correlation with behaviour and physical activity.This study used cross-sectional method, with interview by using a questioner which had been tested before accompanied by physical examination and measurement of fasting blood glucose level. Samples were selected by multistage random sampling. From a total of 502 respondents aged above 20 years who participated, we acquired the prevalence of DM in population as 19,6%. There is no significant correlation between behaviour factors with DM. Prevalence of DM in Ternate is quite significant but influential factors are still unknown."

"Backround: Hypertantion in pregnant is one of three main causes of maternal morbidity and among pregnant women in Indonesia. The purpose of this study is to obtain the prevalence of hypertension and associated factors in pregnant woman in Indonesia. Methods: This is cross sectional study within 33 provinces and 440 districts in Indonesia. sample was selected using probability proportional to size (PPS). The respondents were pregnant woman aged 15-54 years. Total sample size was 8.341. result: there were 12.7% (10620 respondents with hypertension. The highest percentage of hypertension was found in South Sumatra Province (18.0%) and not found pregnant woman in the Sounth Sulawesi. Hypertasion was found among pregnant woman aged less than 18 years and those aged more than 35 years, i.e:24.3% with OR of 2.85 (95% CI:2.47-3.28). This study concludes that hypertension in pregnant mother was associated with age, aducation and area."