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Kehamilan Tidak Diinginkan (KTD) terjadi setidaknya sebanyak 121 juta kasus secara global dari tahun 2015-2019. Tingginya angka prevalens ini menunjukkan bahwa KTD merupakan salah satu masalah kesehatan masyarakat yang dapat membawa banyak dampak negatif baik dalam bidang kesehatan, sosial dan finansial. Dari seluruh KTD yang terjadi secara global, setengahnya berakhir dengan aborsi. Kematian Ibu yang mengalami KTD juga berhubungan dengan karena kurangnya perawatan antenatal yang dapat meningkatkan risiko komplikasi kehamilan akibat ketidaktahuannya tentang kehamilannya. Kunci untuk mencegah KTD adalah menggunakan kontrasepsi dengan begitu WUS dan PUS dapat merencanakan atau menunda kehamilan. Untuk memahami KTD lebih baik dapat dilakukan dengan mengenali faktor apa saja yang berhubungan dengan KTD. Bertujuan untuk mengetahui faktor apa saja yang berhubungan dengan Kehamilan Tidak Diinginkan. Penelitian ini menggunakan desain studi cross-sectional menggunakan data sekunder SDKI 2017. Sampel penelitian adalah Wanita Usia Subur yang sedang hamil saat survei dilakukan. Prevalensi kehamilan tidak diinginkan adalah sebesar 7,5% dengan 6,8% merupakan kehamilan yang tidak tepat waktu dan 0,7% kehamilan tidak diinginkan sama sekali. Faktor Intrapersonal, yakni; Usia, [PR 0,59 CI 95%: 0,37-0,97 p-value 0,036], Status Perkawinan [PR 6,03 CI 95% 3,7-9,9 p-value 0,000] dan Paritas [PR 0,42 CI 95% 0,26-0,67 p-value 0,000) dan Faktor Struktural, yaitu; Wilayah Tempat Tinggal [PR 1,625 CI 95% 1,06-2,57 , nilai p = 0,024] memiliki hubungan yang signifikan dengan Kejadian Kehamilan Tidak Diinginkan di Indonesia tahun 2017. Diperlukan lebih banyak edukasi kesehatan reproduksi yang tak hanya mencakup aspek biologis namun juga akibat dari sosial, mental dan finansial dari KTD. Pemerintah juga perlu menetapkan UU yang lebih ketat terhadap usia minimal perkawinan dan memastikan WUS mendapatkan akses yang baik terhadap kontrasepsi. Selain itu juga surveilans bagi akseptor KB perlu lebih diperhatikan agar perencanaan kehamilan dapat lebih efektif untuk menghindari KTD.
There are approximately 121 million unintended pregnancies globally from 2015 to 2019. Those high numbers show that unplanned pregnancy is still a significant public health problem, especially when half of all unintended pregnancies ended up in abortion. Unwanted pregnancy also brings other negative effects aside from the health aspect, such as social and financial problems. Women who are experiencing unintended pregnancy tend to neglect their, and the fetus’ health such as missing antenatal care, which risks higher pregnancy complications that can lead to maternal death. Maternal and Neonatal Death Rate is one of the indicators for the 3rd SDGs. Contraception is the key to preventing unplanned or unintended pregnancy. It is important to find out what are the factors contributing to Unintended Pregnancies so that we have the correct information that would be considered for making an effective preventative public health policy and health laws. This study aims to recognize the factors related to unintended pregnancy, in hopes that by knowing the risk factors, unintended pregnancy can be prevented. This study was conducted using cross-sectional studies and uses Indonesian DHS 2017 Secondary Data, the sample for this study is women of childbearing age who were currently pregnant during the survey. The prevalence of unintended pregnancy in Indonesia is 7,5%, which consist of 6,8% of mistimed pregnancy and 0,7% of unwanted pregnancy. Intrapersonal Factors such as Age [PR 0,59 CI 95%: 0,37-0,97 p-value 0,036], Marriage Status [PR 6,03 CI 95% 3,7-9,9 p-value 0,001] and Parity [PR 0,42 CI 95% 0,26-0,67 p-value 0,001) and Structural Factor such as Place of Residence [PR 1,625 CI 95% 1,06-2,57 , p value = 0,024] has statistically significant association (p-value <0,05) with the cases of Unintended Pregnancy in Indonesia 2017. More reproductive health education is needed which does not only cover biological aspects but also the social, mental and financial consequences of unwanted pregnancy. The government also needs to enact stricter laws regarding the minimum age for marriage and ensure that women of childbearing age can have good access to contraception. In addition, surveillance for family planning acceptors needs to be paid more attention so that pregnancy planning can be more effective in preventing unwanted pregnancies. Keywords: Unintended Pregnancy, Unwanted Pregnancy, Women of Childbearing Age, Factors related to unintended pregnancy
Background: Maternal mortality can be prevented by delivering in a health care facility. Women who are not involved in decision making are barriers to using health facilities. Pregnant women often cannot determine the place of delivery because the decision is determined by their husband, parents-in-law or other family members. The delays of decision- making at the family level results in delays in getting help at health facilities. Objective: To determine the relationship between women's participation in household decision making with the selection of place of delivery based on analysis of the 2017 Indonesian Demographic Health Survey data. Methods: Designs study was sross-sectional and data was obtained from the Indonesia Demographic Health Survey 2017. Sample was women of childbearing age 15-49 years who had given birth to the last child in 2012-2017 with complete data, total 14,310 respondents. Data were analyzed using Cox regression and the effect was expressed by prevalence ratio (PR) with a 95% confidence interval (CI). Results: The proportion of women giving birth in non-health facilities was 26.5%, and 30.7% of women were not involved in in household decision making. After controlling residence and economic status, women who did not participate in household decision making had a risk of 1,633 (1,531-1,741) times to give birth in non-health facilities compared to women who participated in household decision making. Conclusion: Women who did not participate in household decision making were significantly related to deliveries in non-health facilities. Therefore, the government needs to promote women's reproductive, gender equality, and conduct a study of regions that still birth in dukun.
Kata Kunci: Sindrom Metabolik, Stroke, Riskesdas 2018
Stroke is a non-communicable disease that becomes one of public health problems in the world, including in Indonesia. A group of risk factors that can be interacted together including central obesity, high triglyceride levels, low HDL levels, high GDP levels, and hypertension are known as metabolic metabolism (IDF, 2006). The person who has metabolic syndrome has a chance 3 times to have heart attacks and strokes (IDF, 2006). Meanwhile, according to IDF (2006) it is estimated that 20-25% of the adult population in the world having metabolic syndrome. This research aims to study the relationship between metabolic syndrome and stroke event in population aged ≥ 15 years old in Indonesia after being controlled by covariate variables. The design study of this research is cross sectional using data from Riskesdas 2018. The sample of this research that met the inclusion and exclusion criteria was 24,451 respondents. Based on the result of the analysis, the proportion of strokes based on the doctor's diagnosis is 1.2%. The proportion of metabolic syndrome obtained is 24.4%. There is a significant relationship between metabolic syndrome and the stroke event with a p value of 0.001 with a POR of 2.370 (95% CI: 1.8872,001), which means that respondents with metabolic syndrome has a chance or odds 2.370 times higher for stroke compared to respondents without metabolic syndrome. The results of multivariate analysis obtained a significant relationship between metabolic syndrome and stroke event (p = 0,000) with aPOR of 2,415 (95% CI: 1,883- 3,099) and obtained confounding variables such as gender and age. Metabolic syndrome can be an important factor to consider in efforts to prevent and control stroke event in Indonesia.
Keywords: Metabolic Syndrome, Stroke, Riskesdas 2018
Hasil penelitian multivariat menggunakan uji regresi logistikmenunjukkan bahwa umur, jenis kelamin, tingkat pendidikan, status ekonomi keluarga,daerah tempat, sikap terhadap hubungan seksual pranikah, pengaruh teman, pengalamankonsumsi alkohol, perilaku pacaran berisiko, dan perilaku merokok berhubungansignifikan dengan perilaku hubungan seksual pranikah pada remaja di Indonesia. Faktorpaling dominan adalah perilaku pacaran berisiko, yaitu dengan nilai p = 0,000 dan aOR= 27,236 (95% CI: 19,979-37,129).
Kata kunci:Perilaku seksual, hubungan seksual pranikah, remaja, Indonesia.
