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Introduction: Babies with LBW are 4 times more likely to die during the first 28 days
of life than babies born with normal weight. In Indonesia, LBW is the second largest
type of disease related to tobacco use where the impact is a very determining factor in
adulthood. More than 57% in a household has at least one smoker where 91.8% smoke
in the household and ignore the risks and dangers of exposure to cigarette smoke.
Method: This research was conducted in all regions of Indonesia using Riskesdas 2018
results with the aim of knowing the effect of exposure to cigarette smoke in the
household on the incidence of Low Birth Weight (LBW) in Indonesia after being
controlled by baby (sex), maternal factors (level maternal education, maternal
employment status, and tuberculosis to the mother), health service factors (frequency
and quality of ANC) and environmental factors (residential area). This research was
conducted with cross-sectional design and logistic and poisson regression analysis.
Result: The results of the study with the final model of smoking behavior interacting
with gender and controlled by variables of maternal education level and frequency of
ANC in general showed that there was no effect of cigarette smoke exposure in
households with LBW events (although p value in female sex with exposure cigarette
smoke b 20btg less than 0.05, but OR 0.056 or protective).
Discussion: Based on the results of this study and a few reviews of the results of the
research that are in line concluded that birth weight is not solely influenced by a history
of exposure to cigarette smoke, but in certain conditions there are other factors that may
be more dominant. In this case it might be due to several factors such as the way data is
collected based only on interviews / questionnaires so that the measurement of cigarette
smoke exposure in the household is less able to describe the actual situation (the
measurement results are weak).
Conclution: Based on the analysis that has been used both using logistic regression
methods and poisson is that the results of this study have not been able to answer the
hypothesis that the effect of cigarette smoke exposure in households increases the
incidence of LBW in Indonesia in 2018 even after being controlled by covariate
variables
Studi observasionad dengan desain cross-sectional senng menimbulkan masalah akibat potensial confounding, yaitu suatu kondisi yang menyiratkan texjadinya ketidaktepatan perbandingan antara kelompok terpajan dan kontrol serta potensial menghasilkan bias pada estimasi cfek Estimasi efek yang paling ideal adalah membandingkan outcome pada satu subyck saat mendapat pajanan dan saat tidak mendapat pajanan pada saat bersamaan, hal ini tidak mungkin terjadi karena outcome dari satu peristiwa hanya ada satu, dan disebut sebagai counte1j`actuaI]5-ameworlc Regresi sebagai analisis multivariat yang paling umum dipakai hanya melakukan aeiusnnent pada variabel confounder dalam menghasilkan estimasi, sehingga parameter yang dihasilkan bukan berdasaxkan atas perbandingan antar subyek meiainkan nilai kelompok. Hal ini yang membuat hasil Estimasi analisis regresi masih memiliki bias akibat seleksi subyek pada kelompok Propensity score marching adalah analisis yang menggunal-can pemadanan berdasarkan nilai propensity dari kelompok tcrpajan dan kontrol, sehingga masing-masing subjek pada kelompok terpajan akan memiliki padanan dengan karakteristik yang sama pada kelompok kontrol. Pemadanan mengakibatkan asumsi excharzgeability dalam cozmterfactual fiamework terpenuhi, sehingga dapat mereduksi bias seleksi. Penelitian ini bertujuan mcmbandingkan hasil analisis regresi logistik dengan analisis propensity score matching (PSM) dalam melihat pengaruh tingkat aktivitas olahraga terhadap kebugaran jasmani berdasarkan data Sport Development Indeks (SDI) 2006. Pcrbandingan dilakukan dengan memodelkan variabel berdasarkan regrcsi logistik. Model akhir yang didapat pada regrcsi logistik akan dianalisis kembali menggunakan analisis propensity score matching (PSM). Desain penclitian yang digunakan adalah cross-sectional 66113811 menggunakan data sekunder dari sutvei SDI 2006. Model yang digunakan dalam penelitian ini arhlah model faktor resiko yang berusaha untuk menilai pajanan tingkat aktivitas olahraga terhadap status kebugaran dengan faktor yang menjadi potensial confounder adalah variabel ruang terbuka olahraga, sumber daya manusia olahraga, usia, gender, Indeks Massa Tubuh, pekeljaan, propinsi dan sosial ekonomi kabupaten. Dari hasil penelitian di dapat dua perbandingan yaitu perbandingan nqgrcsi logistik dengan PSM tanpa interaksi dan dengan intexaksi. Pada kedua jcnis perbandingan, PSM berhasil memadankan 100% responden. OR dari PSM tanpa interaksi 1,28 sedangkan OR daxi regresi logistik l,3. Perbedaan yang tidak begitu besar ini dimungkinkan karena variasi dari variabel oovariat dari kelompok texpajan dan kontrol tidak terlalu besar sehingga a¢#u.s'nnen1 pada regresi logistik mampu menjaga keséimbangan variasi antara kedua kelompok. Pada pcrbandingan PSM dengau interaksi, dilakukan stratifikasi pada data berdasarkan variabel yang berintemksi pada regresi Iogistik. Analisis PSM kemudian dilakukan untuk masing-masing strata Hanya ada satu OR yang berhasil didapai pada analisis PSM dari tiap strata, tiga OR lain tidak dapat dihitung karena nilai nol pada mean of marched control setelah proses pemadanan. S6C8I`3 statistik terdapat hubungan antara tingkat aktititas olahraga dan kebugaran jasmani meskipun dengan ni [ai efek yang kecil.
Observational study with cross-sectional design often generate problem of potential sffect of confounding, which is a condition that implies improper comparison between 'reated and control group and also yield potentially biased effect estimation. The most ideal effect estimation is, by comparing outcome from one subyek given exposure and not given exposure at the same time, this matter is not possible because outcome &'om one event only happen one, this is call counterfactual framework. Regression as a commonly multivariat analysis only do adjustment for confounder variable in generating estimation, so the parameter yielded not based on comparison betwen subyek but based on group parameter. This make regression analysis still has bias from subjek selection for control group. Propensity Score matching is analysis use matching metode based on propensity score from exposed and control group, so each subjek from exposed group will have match with equivalent characteristic at control group. Matching cause exchangeability asumption in counterfactual framework firllfiled, so that can reduce selection bias. This research aim to compare result from logistic regression analysis with propensity score matching (PSM) analysis in seeing the influence of sport activity level to physical fitness based on data of Sport Development Index (SDI) 2006. Comparison conducted with modeling variable using logistic regression. The final model from logistic regression will be re-analysed using PSM analysis. Research design is cross-sectional and using secondary data from SDI 2006 sim/ey. Model used in this research is risk factor model to assess exposure from sport activity level to physical fitness status with potential confoundef are sport facility, sport human resources, age, gender, body mass Index, work, districk social-economic statins and province variable. The result from this research is earning two comparison, which is comparison betwen logistic regression by PSM without interaction and with interaction. At both types of comparison, PSM succeed to match 100% responder. OR from PSM without interaction 1,28 while OR iiom regresi logistics l,3. The OR difference is not so big because eovariat variation variable from exposed and control group is not too big so that adjustment of logistic regression able to balance variation among both group. The PSM comparison with interaction, conducted by stratification of data using variable which have interaction at logistic regression Alter that PSM Analyse is conduct to each strata. There is only one OR successfully got from PSM analysis of each strata, three other OR can’t be compute because zero value at mean of matched control after matching process. Statistically there are relation between sport activity level and the physical fitness though with small effect value.
ABSTRAK Penelitian ini bertujuan untuk melihat pengaruh dan gambaran konflik pekerjaankeluarga, konflik keluarga-pekerjaan, kelelahan kerja dan kinerja perawat RSUD. Jenis Penelitian ini analisa kuantitatif dengan desain penelitian crossectional. Responden dalam penelitian ini berjumlah 118 orang perawat wanita rawat inap RSUD Pandeglang yang sudah menikah. Peneliti menggunakan alat ukur workfamily conflict scale untuk mengukur konflik peran ganda, MBI untuk mengukur kelelahan kerja dan performance scale untuk mengukur kinerja perawat. Ketiga alat ukur tersebut telah diadaptasi dan merupakan hasil dari penelitian sebelumnya. Analisa pada penelitian ini menggunakan SEM dengan software LISREL 8.54. Berdasarkan hasil output LISREL diperoleh hasil bahwa konflik pekerjaankeluarga dan konflik keluarga pekerjaan tidak berhubungan signifikan dengan kinerja, nilai T-value < 1,96. Konflik pekerjaan-keluarga dan keluarga-pekerjaan berhubungan signifikan dengan kelelahan kerja dengan nilai T-value 6,27 dan 5,34. Kelelahan kerja berhubungan signifikan dengan kinerja dengan nilai T-value 3,63. Tidak ditemukan hubungan karakteristik dengan ke empat variabel laten tersebut. Sebagian besar responden mengalami konflik pekerjaan-keluarga rendah 60 orang (50,8%), dan tinggi 13 orang (11.0%). Responden konflik keluarga-pekerjaan yang mengalami konflik rendah 62 orang (52,5%), dan yang tinggi 8 orang (6,8%). Responden yang mengalami kelelahan kerja rendah ada 78 orang (66,1%), dan tinggi 4 orang (3,4%). Distribusi responden menurut kinerja sebanyak 6 orang mengatakan rendah (5,1%), dan tinggi 77 orang (65,3%). Berdasarkan hasil penelitian, saran yang diajukan untuk manajerial adalah membuat program redesain pekerjaan, pengurangan jam kerja, dan program benefit yang didalamnya termaktub family friendly policies. Selain itu organisasi rumah sakit agar dapat membangun strategi coping untuk individu karyawan agar mereka mampu bertahan dalam tekanan dan konflik
Abstract This study aims to see the picture of the work-family conflict; family-work conflict, burnout, and nurses performance of Pandeglang Hospital. This type of analysis of quantitative research with crossectional research design. Respondents in this study amounted to 118 female nurses inpatient Pandeglang hospitals has been married. Researcher use a measuring tool work-family conflict scale to measure the dual roles conflict, MBI to measure burnout and performance scale to measure the performance of nurses. The three tools measurement has been adapted and is the result of previous research. The analysis in this study using SEM with LISREL 8.54 software. Based on the LISREL output results obtained that work-family conflict and family conflict did not associated significantly with performance, T-value < 1.96. Work-family conflict and family-work conflict associated significantly with work fatigue, with T-value 6.27 and 5.34. Burnout is significantly associated with performance, Tvalue 3.63. No found relationship between the variable characteristic of the four latent variables Most respondents experienced work-family conflict low 60 people (50.8%), and high 13 men (11.0%). Respondents work-family conflict experienced low conflict 62 people (52.5%), and high of 8 people (6.8%). Respondents who experienced low burnout there 78 people (66.1%), and high of 4 people (3.4%). Distribution of respondents according to performance as much as 6 people say low (5.1%) and high 77 people (65.3%). Based on research results, the suggestions for the managerial job is to make the redesigned program, the reduction of working hours, and programs that benefit family friendly policies contained therein. In addition hospital organization in order to build coping strategies to individual employees to enable them to survive the pressure and conflict.
