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This dissertation is describing changes in the prevalence of stunting toddlers the Regencies/ Cities category improves and deteriorates in Indonesia, from 2007 to 2013. Cross sectional study method, samples are 163 Regencies/Cities, secondary data source Balitbangkes and Ministry of Finance. T-test and discriminant statistical test. Results: changes in the prevalence of stunting toddlers 49 Regencies/Cities category improved 30.1%, and 114 Regencies/Cities category deteriorated 69,9%. Nine coverage of health and social programs the Regencies/Cities category improved which has a change greater than Regencies/Cities category deteriorated namely the prevalence of LBW, toddler weighing coverage ≥ 4 times, vitamin A coverage, complete immunization coverage, percentage of availability of clean water, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, and the percentage of family heads of civil servants. Five coverage of health and social programs in the Regencies/Cities category deteriorated, whose changes are not much different from the Regencies/Cities category improved namely ANC-K4 coverage, prevalence of less chronic energy in pregnant women, prevalence of toddler pulmonary TB, fiscal capacity index, and the percentage of family heads of higher education. Eight coverage of health and social programs with accuracy changes in the prevalence of stunting toddlers at the Regencies/ Cities category improved 83,7% and Regencies/Cities category deteriorated 92.1% namely toddler weighing coverage ≥ 4 times, complete immunization coverage, ANC-K4 coverage, percentage of waste management carried by janitors, percentage of availability of family latrines, percentage of hand washing with soap, fiscal capacity index, and the percentage of family heads of civil servants
Perubahan iklim berpotensi meningkatkan risiko penyakit berbasis lingkungan, termasuk diare. Di Indonesia, prevalensi diare balita masih tergolong tinggi, meskipun menurun dari 12,3% (Riskesdas 2018) menjadi 9,8% (SSGI 2020). Kondisi ini menunjukkan adanya faktor lain yang memengaruhi, termasuk parameter iklim yang belum banyak diteliti secara spesifik dalam konteks Indonesia.
Penelitian ini bertujuan untuk mengembangkan model prediksi risiko diare secara komparatif pada dua zona iklim berbeda: monsunal (Nusa Tenggara Barat) dan ekuatorial (Sumatera Barat). Desain penelitian adalah studi ekologi, dengan data sekunder tahun 2017-2021 yang diperoleh dari Kementerian Kesehatan (kasus diare), BPS (akses air minum tidak aman, sanitasi terbatas, higiene terbatas, status ekonomi dan kepadatan penduduk), dan BMKG (suhu udara, kelembapan, curah hujan). Analisis dilakukan menggunakan regresi binomial negatif.
Hasil menunjukkan bahwa curah hujan berhubungan signifikan terhadap kejadian diare di Sumbar (IRR=0,998) dan NTB (IRR=1,002). Suhu udara hanya signifikan di Sumbar (IRR= 0,955), sedangkan kelembapan hanya signifikan di NTB (IRR=0,954). Akses air minum tidak aman dan sanitasi terbatas berhubungan signifikan di kedua provinsi, sedangkan higiene terbatas tidak menunjukkan hubungan signifikan. Tingkat kemiskinan berpengaruh signifikan hanya di NTB (IRR=1,025). Model prediksi menunjukkan performa yang baik, meskipun akurasinya berada pada kategori rendah hingga sedang.
Kesimpulannya, variabilitas iklim berkontribusi terhadap risiko diare dengan pola yang berbeda antarwilayah. Faktor lokal seperti letak geografis, infrastruktur, dan ketersediaan layanan dasar—khususnya akses terhadap air minum aman dan sanitasi layak—memegang peran penting. Diperlukan penguatan kolaborasi lintas sektor dan keterlibatan masyarakat untuk pengendalian diare yang adaptif terhadap perubahan iklim.
Climate change can exacerbate environment-related disease, including diarrhea. In Indonesia, diarrhea prevalence among children under five remains high, although it declined from 12,3% (Basic Health Research, 2018) to 9,8% (National Health Survey, 2020). This indicates the influence of additional factors, including climatic parameters that have not been thoroughly examined in the Indonesian context.
This study developed a comparative diarrhea risk prediction model across two climate zones: monsunal (West Nusa Tenggara) and equatorial (West Sumatera). An ecological design was employed using 2017-2021 secondary data from the Ministry of Health (diarrhea cases), the Central Bureau of Statistics (BPS) (unsafe drinking water access, sanitation, hygiene, economic status, population density), and the Meteorology, Climatology, and Geophysics Agency (BMKG) (temperature, humidity, rainfall). Data were analyzed using negative binomial regression.
Rainfall was significantly associated with diarrhea incidence in both provinces (West Sumatera IRR = 0,998; West Nusa Tenggara IRR = 1,002). Air temperature was significant only in West Sumatera (IRR = 0,955), while humidity was significant only in West Nusa Tenggara (IRR = 0,954). Unsafe water access and poor sanitation were significant in both provinces, whereas hygiene showed no association. Poverty was significant only in West Nusa Tenggara (IRR = 1,025). The model performed well, with accuracy in the low-to-moderate range.
In conclusion, climate variability contributes to diarrhea risk, with distinct patterns across regions. Local factors such as geography, infrastructure, and the availability of basic services— particularly access to safe drinking water and adequate sanitation—play a crucial role. Strengthening cross-sectoral collaboration and community engangement is essential for developing climate-adaptive diarrhea control strategies.
Diabetes is one of the leading death causes in the world. Indonesia is one of the highestrates of death caused by diabetes. Physical activity is one of the modifiable diabetes riskfactors. This study focuses on understanding association of physical activity in differencelevels and diabetes after being controlled by confounding variables. This study is ananalysis of Indonesian Family Life Survey Tahun 2014 (IFLS 2014). Researchmethodology in this study is cross-sectional with multivariate analysis. After beingcontrolled by residential area variable, moderate physical activity (OR = 1,62 CI 95%1,21 - 2,18) and low physical activity (OR = 1,94 CI 95% = 1,47 - 2,56) have higher riskcompared to high physical activity for diabetes. Health interventions that are feasible tobe executed are synergy between all departments and government bodies, the privatesector, non-profit, and BPJS Kesehatan (National Health Insurance) for optimization ofphysical activity program that is suitable for urban lifestyle and encouraging adequateinfrastructures and facilities for people in urban areas to be able to do moderate until highphysical activity.Key words:Diabetes, physical acitivity, IFLS 2014, cross-sectiona.
