Ditemukan 10 dokumen yang sesuai dengan query :: Simpan CSV
Mental health disorders are one of the main risk factors for causing pain and death in adolescents. Symptoms of mental health disorders can be anxiety, depression, sleep disorders, suicidal or self-harm ideas and attempted suicide. Poor mental health is a severe health problem, especially in adolescents. Mental health is affected by multiple factors, including daily behavior and individual lifestyle. This study aims to find out the relationship between lifestyle and mental health of school adolescent in Indonesia. This study used secondary data of Indonesia's Global School-Based Student Health Survey (GSHS) in 2015. The population of this study was 9.628 students aged 11-18 years in Indonesia. This research sample was obtained by total sampling method. Analysis of lifestyle relationships with school adolescent mental health in Indonesia in this study using multivariate analysis of cox regression and large associations expressed with Prevalence Ratio (PR) with 95% Confindence Interval (CI). Result showed that the prevalence of school adolescents in Indonesia with mental health disorders is 9,4%. Mutivariate analysis test results showed there was a significant relationship between lifestyle and school adolescent mental health in Indonesia 1,47 (95%CI: 1,31 - 1,65) after being controlled by gender, socioeconomic status, and bullying. The school and parents are advised to work together to prevent mental health disorders in adolescents by approaching the child to know the problems felt by establishing closeness between family members so that communication can be well established and provide highly nutritious food to the child and encourage the child to exercise and physical activity regularly in order to avoid high sedentary behavior
Salah satu indikator untuk mengukur kualitas pelayanan kesehatan adalah kepuasan responden. Kepuasan responden yang rendah bisa menggambarkan kualitas layanan yang belum standar dan masih perlu perbaikan. Kepuasan responden yang rendah berdampak terhadap citra fasilitas pelayanan kesehatan. Kepuasan responden itu dipengaruhi oleh banyak faktor, diantaranya adalah karakteristik responden itu sendiri. Penelitian ini dilakukan untuk memperoleh gambaran tentang kepuasan responden dan faktor-faktor yang berhubungan dengan kepuasan responden tersebut. Disain penelitian adalah cross-sectional pada 710 responden yang pernah menjaiani rawat map di fasilitas pelayanan kesehatan di Indonesia tahun 2004. Analisis data yang digunakan adalah analisis regresi logistik ganda. Dari data yang diperoleh, didapatkan 322 (45,35%) responden merasa puas dengan pelayanan kesehatan, hal ini masih dikategorikan rendah. Responden perempuan lebih merasa puas 201 (47,45%) dibandingkan responden laki-laki (44,3I%). Usia tidak berpengaruh terhadap pelayanan kesehatan. Tingkat pendidikan responden tidak berpengaruh pada tingkat kepuasan. Responden yang tidak bekerja lebih merasa puas dibandingkan yang bekerja. Sumber biaya perawatan tidak mempengaruhi tingkat kepuasan responden. Responden yang dirawat difasilitas pelayanan kesehatan milik swasta cenderung merasa lebih puas 53,21% dibandingkan dengan responden yang dirawat difasilitas pelayanan kesehatan milik pemerintah. Faktor dominan yang berhubungan dengan tingkat kepuasan responden adalah tempat menjalani rawat inap. Dari penelitian ini disarankan bagi petugas kesehatan untuk memperhatikan pelayanan kesehatan yang diberikan pada rnasyarakat. Bagi Departemen Kesehatan hasil penelitian ini sebagai bahan masukan bagi perbaikan kinerja di fasilitas pelayanan kesehatan milik pemerintah.
One of the indicators to measure quality of health service is respondent satisfaction. The low satisfaction can describe of health unit under standard and needs recovery. The low satisfaction will give image to unit health facility. A satisfaction respondent is influent by multifactor like a characteristic factor of the subject. The purpose of this analysis to find a describe of a satisfaction respondent and factors that influence the satisfaction. Design of analysis is cross sectional and 710 respondents be participated which ever stay in hospital in Indonesia at 2004. The method of analysis is multiple logistic regressions. From reached of the data, founded 322 (45, 35%) of respondents had satisfied to health service, but that result still low in category. Female respondents has satisfied 47,45%, compare than male respondent 44,31%. Age does not influence to health service, education level respondent too, group not working respondent, more satisfaction compare group of working. Sources of nursing cost did not influence the satisfied respondent. Respondent who get nursing in private facility 53,21% more satisfied compare respondent who get nursing in government facility. The dominant factor which related to satisfied is the place of nursing care. From this research, we recommended for health service officer, to make attention about services to people. To Health Department become an input for improving government facility.
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.
