Ditemukan 58 dokumen yang sesuai dengan query :: Simpan CSV
Pengarang: Kusharisupeni, Fathimah S. Sigit, Wahyu Kurnia Yusrin Putra, Asyifa Robiatul Adawiyah
618.9 KUS b
Depok : Rajawali Pers Divisi Perguruan Tinggi PT RajaGrafindo Persada, 2024
Buku (pinjaman 1 minggu) Pusat Informasi Kesehatan Masyarakat
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Suparmi, Belinda Chiera, Julianty Pradono
HSJI Vol.7, No.2
Jakarta : Depkes. HSJI, 2016
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
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Thomas Harder, Andreas Plagemann, Anja Harder
AJE Vol.168, No.4
Oxford : Oxford University Press, 2008
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
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Vivi Anggraini; Pembimbing: Sudijanto Kamso; Penguji: Mieke Savitri, Nining Sriningsih
S-8129
Depok : FKMUI, 2014
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Nova Lestari; Pembimbing: Bambang Sutrisna; Penguji: Yovsyah; Shirley Ivonne Moningkey
T-3588
Depok : FKM-UI, 2012
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Rizqi Firdiana Lubis; Pembimbing: Ahmad Syafiq; Penguji: Sandra Fikawati, Dhora Yufita N
Abstrak:
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Penelitian ini dilatar belakangi oleh perbedaan proporsi kejadian Bayi Berat Lahir Rendah (BBLR) berdasarkan tingkat konsumsi Tablet Tambah Darah (TTD). Kejadian BBLR diketahui lebih tinggi pada ibu hamil yang tidak mengkonsumsi TTD sesuai anjuran, sehingga menimbulkan dugaan adanya hubungan antara konsumsi TTD dengan berat badan lahir bayi. Namun, sejumlah penelitian sebelumnya menunjukkan hasil yang tidak konsisten terkait hubungan ini. Tujuan penelitian ini adalah untuk menganalisis hubungan antara konsumsi TTD selama kehamilan dengan berat badan bayi saat lahir. Desain studi yang digunakan adalah cross-sectional dengan pendekatan analisis data sekunder yang bersumber dari Survei Kesehatan Indonesia (SKI) tahun 2023. Sampel penelitian mencakup 51.797 ibu yang dalam lima tahun terakhir melahirkan bayi hidup dan tercatat pernah menerima atau membeli TTD selama kehamilan. Rata-rata berat badan lahir bayi adalah 3.101 gram, sedangkan rata-rata konsumsi TTD oleh ibu hamil sebanyak 70 tablet, masih di bawah rekomendasi pemerintah. Hasil analisis menunjukkan nilai korelasi (r) sebesar 0,007 dan p-value 0,126, yang menandakan tidak adanya hubungan signifikan antara konsumsi TTD dengan berat badan lahir bayi. Variabel lain seperti kepemilikan jaminan kesehatan dan paparan asap rokok juga tidak menunjukkan hubungan signifikan. Namun, faktor seperti pendidikan ibu, paritas, tempat tinggal, risiko kehamilan, kunjungan ANC, dan usia kehamilan saat pertama kali mendapat TTD menunjukkan hubungan yang signifikan.Kata kunci: Informasi, information literacy, information skills
This study was motivated by differences in the proportion of Low Birth Weight (LBW) cases based on the level of iron supplementation consumption. LBW incidence was found to be higher among pregnant women who did not consume iron supplementation according to recommendations, raising the assumption that there may be a relationship between supplementation consumption and infant birth weight. However, several previous studies have shown inconsistent results regarding this association. The aim of this study was to analyze the relationship between iron supplementation consumption during pregnancy and infant birth weight. The study used a cross-sectional design with a secondary data analysis approach, utilizing data from the 2023 Indonesia Health Survey. The sample included 51,797 mothers who had delivered a live baby in the past five years and were recorded as having received or purchased iron supplementation during pregnancy. The average birth weight of the infants was 3,101 grams, while the average TTD consumption among pregnant women was 70 tablets, still below the government's recommended amount. The analysis results showed a correlation coefficient (r) of 0.007 and a p-value of 0.126, indicating no significant relationship between iron supplementation consumption and infant birth weight. Other variables such as health insurance ownership and exposure to cigarette smoke also showed no significant relationship. However, factors such as maternal education, parity, place of residence, pregnancy risk, ANC visits, and gestational age at first TTD intake showed significant associations.
This study was motivated by differences in the proportion of Low Birth Weight (LBW) cases based on the level of iron supplementation consumption. LBW incidence was found to be higher among pregnant women who did not consume iron supplementation according to recommendations, raising the assumption that there may be a relationship between supplementation consumption and infant birth weight. However, several previous studies have shown inconsistent results regarding this association. The aim of this study was to analyze the relationship between iron supplementation consumption during pregnancy and infant birth weight. The study used a cross-sectional design with a secondary data analysis approach, utilizing data from the 2023 Indonesia Health Survey. The sample included 51,797 mothers who had delivered a live baby in the past five years and were recorded as having received or purchased iron supplementation during pregnancy. The average birth weight of the infants was 3,101 grams, while the average TTD consumption among pregnant women was 70 tablets, still below the government's recommended amount. The analysis results showed a correlation coefficient (r) of 0.007 and a p-value of 0.126, indicating no significant relationship between iron supplementation consumption and infant birth weight. Other variables such as health insurance ownership and exposure to cigarette smoke also showed no significant relationship. However, factors such as maternal education, parity, place of residence, pregnancy risk, ANC visits, and gestational age at first TTD intake showed significant associations.
S-12070
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Sami Asuti; Pembimbing: Ratu Ayu Dewi Sartika; Penguji: Endang Laksminingsih Achadi, Kusharisupeni, Anies Irawati, Euis Saadah Hernawati
T-4147
Depok : FKM-UI, 2014
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Demsa Simbolon
KJKMN Vol.8, No.1
Depok : FKM UI, 2013
Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
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Dhorkas Dhonna Ruth Marpaung; Pembimbing: Krisnawati Bantas; Penguji: Yovsyah, Salimar
Abstrak:
Pendahuluan. Indonesia merupakan negara yang masih banyak layanankesehatannya terletak di daerah perifer dengan fasilitas minim dan jarang memilikitenaga ahli untuk memprediksi berat bayi saat dilahirkan.Metode. Penelitian ini menggunakan desain studi cross sectional. Kriteria inklusiibu melahirkan anak terakhir, bayi lahir hidup, dan bayi tunggal, didapatkan sampelsebanyak 23.689.Hasil. Variabel yang menjadi faktor risiko kejadian BBLR adalah usia kehamilan(POR 2,01), umur (POR 1,28), paritas (POR 1,56), tinggi ibu (POR 1,48),komplikasi (POR 1,46). Analisis ROC didapatkan area under curve untukmengidentifikasi kejadian BBLR sebesar 0,602. Nilai titik potong untuk skoringprediksi 4 dan sensitivitas 59,8%.Kesimpulan. Usia kehamilan, umur, paritas, tinggi ibu, dan komplikasi merupakanfaktor risiko dan dapat digunakan untuk memprediksi bayi yang akan dilahirkanberisiko BBLR.Kata Kunci: berat lahir bayi, sensitivitas, prediksi
Introduction. Indonesia is a country that still many health services located inperipheral areas with minimal facilities and rarely have experts to predict the weightof the baby at birth.Methods. This study using cross sectional study design. The inclusion criteriamaternal last child, a baby was born alive, and a single baby, obtained a sample of23.689.Results. Variables are a risk factor for LBW is gestational age (POR 2,01), age(POR 1,28), parity (POR 1,56), maternal height (POR 1,48) and complications(POR 1,46). ROC analysis obtained an area under the curve to identify the LBW of0,602. Value cut-off point for scoring 4 prediction and sensitivity of 59,8%.Conclusion. Gestational age, age, parity, height, and complications are risk factorsand can be used to predict the baby to be born at risk of LBW.Keywords: birth weight babies, sensitivity, predictive.
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Introduction. Indonesia is a country that still many health services located inperipheral areas with minimal facilities and rarely have experts to predict the weightof the baby at birth.Methods. This study using cross sectional study design. The inclusion criteriamaternal last child, a baby was born alive, and a single baby, obtained a sample of23.689.Results. Variables are a risk factor for LBW is gestational age (POR 2,01), age(POR 1,28), parity (POR 1,56), maternal height (POR 1,48) and complications(POR 1,46). ROC analysis obtained an area under the curve to identify the LBW of0,602. Value cut-off point for scoring 4 prediction and sensitivity of 59,8%.Conclusion. Gestational age, age, parity, height, and complications are risk factorsand can be used to predict the baby to be born at risk of LBW.Keywords: birth weight babies, sensitivity, predictive.
T-4719
Depok : FKM-UI, 2016
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Endah Pujiastuti; Pembimbing: Sudarto Ronoatmodjo; Penguji: Tri Yunis Miko Wahyono, Mieke Savitri, Euis Saadah Hernawati, Mugia Bayu Rahardja
T-4508
Depok : FKM-UI, 2015
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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