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Abstrak :
[ABSTRAK
Berat lahir merupakan indikator penting perkiraan maturitas dan kemampuan neonatus untuk bisa bertahan, bayi dengan BBLR meningkatkan resiko kematian. Prevalensi BBLR RSU Kabupaten Tangerang mengalami peningkatan secara signifikan setiap tahunya, tahun 2013 mencapai 14%. Penelitian ini bertujuan untuk mengetahui Hubungan Kualitas Layanan Antenatal, Status Gizi Dan Pengetahuan Dengan Kelahiran BBLR Di RSU Tangerang Tahun 2015 Desain penelitian yang digunakan kasus kontrol dengan jumlah sampel 73 kasus dan 156 kontrol. Kualitas Layanan Antenatal kurang, meningkatkan kelahiran BBLR 3.7 kali (p=0.02, CI=1,3?10.6) serta kualitas layanan cukup sebesar 2.0 kali (p=0.17, CI= 0.7?5.3) dibandingkan dengan ibu yang mendapatkan kualitas layanan baik. Status gizi 4.6 kali (p=0.01,CI= 2.7 - 11.1) dibandingkan ibu dengan status gizi baik, setelah dikontrol oleh usia ibu, komplikasi kehamilan, status ekonomi, status anemia, pekerjaan dan riwayat BBLR. Dengan demikian petugas diminta memotivasi ibu untuk melakukan kunjungan minimal 4 kali selama kehamilannya dan memberikan pelayanan standar minimal ?10T?, mampu mendeteksi kelainan tumbuh kembang janin, dengan cara skrining dan manajemen tatalaksana kasus pada ibu dengan status gizi kurang.

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ABSTRACT
Brith weight is an important indicator to estimate maturity and ability of neonatal to survive. Low brith weight increases the risk of death. Prevalence of LBW in RSU Tangerang has Increased significantly each year, in 2013 reach 14%. This studi examine risk LBW by quality of prenatal care and nutritional status in RSU Tangerang in 2015. This is a case-control study with a sample of 73 cases and 156 controls. Women with less prenatal care quality, increasing the LBW baby 3.7 times (p=0.02, CI=1,3?10.6) and twice among women with enoght prenatal care quality (p=0.17, CI= 0.7?5.3), compare to women who get good prenatal care quality. The nutritional status 4.6 times (p=0.01,CI= 2.7 - 11.1) compare women who have good nutritional status, after controlled by maternal age, complications of pregnancy, economic status, anemia status, jobs, and history of LBW. Thus, health workers need to motivate a mother to visit at least 4 times during pregnancy and provide a minimum standard care ?10T?, able to detect abnormalities in fetal development by screening and management cases in women with poor nutritional status;Brith weight is an important indicator to estimate maturity and ability of neonatal to survive. Low brith weight increases the risk of death. Prevalence of LBW in RSU Tangerang has Increased significantly each year, in 2013 reach 14%. This studi examine risk LBW by quality of prenatal care and nutritional status in RSU Tangerang in 2015. This is a case-control study with a sample of 73 cases and 156 controls. Women with less prenatal care quality, increasing the LBW baby 3.7 times (p=0.02, CI=1,3?10.6) and twice among women with enoght prenatal care quality (p=0.17, CI= 0.7?5.3), compare to women who get good prenatal care quality. The nutritional status 4.6 times (p=0.01,CI= 2.7 - 11.1) compare women who have good nutritional status, after controlled by maternal age, complications of pregnancy, economic status, anemia status, jobs, and history of LBW. Thus, health workers need to motivate a mother to visit at least 4 times during pregnancy and provide a minimum standard care ?10T?, able to detect abnormalities in fetal development by screening and management cases in women with poor nutritional status, Brith weight is an important indicator to estimate maturity and ability of neonatal to survive. Low brith weight increases the risk of death. Prevalence of LBW in RSU Tangerang has Increased significantly each year, in 2013 reach 14%. This studi examine risk LBW by quality of prenatal care and nutritional status in RSU Tangerang in 2015. This is a case-control study with a sample of 73 cases and 156 controls. Women with less prenatal care quality, increasing the LBW baby 3.7 times (p=0.02, CI=1,3–10.6) and twice among women with enoght prenatal care quality (p=0.17, CI= 0.7–5.3), compare to women who get good prenatal care quality. The nutritional status 4.6 times (p=0.01,CI= 2.7 - 11.1) compare women who have good nutritional status, after controlled by maternal age, complications of pregnancy, economic status, anemia status, jobs, and history of LBW. Thus, health workers need to motivate a mother to visit at least 4 times during pregnancy and provide a minimum standard care “10T”, able to detect abnormalities in fetal development by screening and management cases in women with poor nutritional status]

Abstrak :
Latar Belakang: Penelitian ini dilakukan untuk mengetahui hubungan status pekerjaan sebagai suatu faktor risiko infark miokard pada para pekeija pxia yang dirawat di Rumah Sakit Jantung dan Pembuluh Darah Harapan Kita. Metode: Desain penelitian kasus-kontrol dengan 77 kasus infark miokard dan kontrol 77 orang yang dipilih dan disamakan kclompok umumya. Informasi mengenai pekezjaan dan falctor-faktor risiko klasik infark miokard diperoleh melalui questionnaire dan dengan menelusun berkas rekam medik subyek. Hubungan antara infark miokard dan status pekerjaan dinilai dengan analisis regresi logistik, disuaikan terhadap sejumlah faktor risiko lainnya. Hasil: Setelah disuaikan terhadap obesitas, hipertensi, riwayat keluarga, kelompok pendidikan, status perkawinan, dan jam kerja, kami menemul-can bahwa, dibandingkan terhadap status pekerjaan manual tidak terlatih, pda yang status pekerjaannya semakin tinggi semakin bcrisiko untuk terjadi infark miokard yakni OR 4,17 (95% CI 0,98 - 17,73), OR 6,67 (95% CI 1,56 _ 2s,5z), OR 11,11 (95% CI 2,94 - 41,95) dan OR 14,17 (95% CI 3,24 - 6l,99) berturut- turut untuk status pekerjaan manual terlatih, non manual tingkat rendah, non manual tingkat menengah, dan non manual tingkat tinggi. Kesimpulan: Terdapat perbedaan dalarn risiko infark miokard antara status pekeljaan yang berbeda. Pria yang status pekerjaannya non manual tingkat tinggi paling bcrisiko. Perbedaan dalam faktor-faktor psikososial di negara-negara sedang berkembang mungkin mempunyai andii terhadap hasil yang diamati dalam penelitian ini. ......Background: This study was carried out to identity occupational status as a risk factor associated with myocardial infarction among male workers who hospitalized at National Cardiovascular Center Harapan Kita. Methods: Case-control study with myocardial infarction as cases (n = 77) and controls (n = 77) were selected and matched on age. lnfomtation about occupation and classical risk factors for myocardial infarction was obtained with questionnaire and through subjects? medical record. The relation between myocardial infarction and occupational status was evaluated by logistic regression analysis, adjusting for a number of selected risk factors. Results: After adjusting for obesity, hypertension, family history, educational group, marital status, and working hour, we found that, compared to manual unskilled occupational status, higher occupational status increased risk of myocardial infarction with OR 4,17 (95% CI 0,98 - 17,73), OR 6,67 (95% C1 1,56 - 28,52), OR 11,11 (95% CI 2,94 - 41,95), and OR 14,17 (95% Cl 3,24 - 61,99) respectively for manual skilled, non manual low level, non manual middle level, and non manual high level occupational status. Conclusions: Differences in myocardial infarction risk among occupational status were found. Non manual high level occupational status were at highest risk. Differences in psychosocial factors in developing countries may contribute to observed results.

Abstrak :
Latar belakang dan tujuan: Penyakit jantung koroner merupakan penyakit yang sangat menakutkan dan masih menjadi masalah baik di negara maju maupun negara berkembang. Prevalensi infark miokard juga terus meningkat dari tahun ke tahun. Hal ini selain disebabkan oleh faktor risiko konvensional, juga dipengaruhi oleh faktor pekerjaan. Upaya pengendalian bam ditujukan pada iinktor-faktor risiko konvensional. yang sudah diketahui jelas pengaruhnya, sedangkan faktor pekexjaan yang menimbulkan job strain masih belum diperhatikan, padahal job strain dapat menimbulkan stres kerja yang akan berdampak pada terjadinya infark miokard. Penelitian ini bertujuan untuk melihat hubungan antara job strain dan faktor risiko lainnya dengan terjadinya infark miokard pada pekerja. Metode: Desain penelitian ini adalah kasus kontrol dengan jivquency matching 1:1 menurut umur. Data dikumpulkan dengan menggunakan kuesioner data umum yang meliputi karakteristik demografi, faktor risiko konvensional, karakteristik pekerjaan, dan kuesioner demand- control (ICQ) untuk mengukur job strain. Hasil: Job strain, merokok dan dislipidemia merupakan faktor risiko yang berhubungan dengan infark miokard. Job sirain meningkatkan risiko infark miokard 6,8 kali lipat (Adj OR 6,80, 95% CI: 2,72 ; l6,98, p = 0,000). Perokok ringan bexisiko I5 kali lipat terhadap teljadinya infark miokard (Adj OR 14,97, 95% CI: 3,17 ; 70,74, p = 0,001), perokok sedang beaisiko 7,7 kali lipat terhadap terjadinya infark miokard (Adj OR 7,72, 95% CI: 273 ; 21,84, p = 0,000), dan perokok berat berisiko 26 kali lipat terhadap terjadinya infark miokard (Adj OR 25,6l, 95% Cl: 5,25 ; 124,88, p = 0,000). Dislipidemia meningkatkan risiko infark miokard 2,8 kali lipat (Adj OR 2,82, 95% CI: 1,07 ; 7,44, p = 0,035). Komponen job strain yang meningkatkan risiko infark miokard adalah job demands yang tinggi (Ad_§ OR 2,44, 95% CI: 1,02 ; 5,85, p = 0,046). Kesimpulan: Job strain, merokok dan dislipidemia secara bersama-sama berhubungan dengan kejadian infark miokard. ......Background and aim: Coronary heart disease is the most tightening disease and still become a problem in the developed and developing countries. The prevalence of myocard infarction is also increasing fiom year to year. Beside the conventional risk factors, it is also influenced by occupational factors. Although job strain can cause stress which would have impact on the occurrence of myocard infarction, the prevention strategies being implemented are just for conventional risk factors. There is still no concern for occupational factors which can also cause job strain. This study was aimed to assess the relationship between job strain and other risk factors with myocard infarction among workers. Methods: The study design was case - control with frequency matching 1:1 for age. Data were collected by using general questionnaire which covered demography characteristics, conventional risk factors, job characteristics, and demand - control questionnaire(ICQ) to assess job strain. Result: Job strain, smoking and dyslipidemia were risk factors which had relationship with myocard infarction Job strain increased myocard infarction risk by 6.8 times (Adj OR 6.80, 95% CI: 2.72 ; 16.98, p = 0.000). Light smokers increased myocard infarction risk by 15 times (Adj OR 14.97, 95% CI: 3.17 ; 70.74, p = 0.001), medium smokers increased myocard infarction risk by 7,7 times (Adj OR 7.72, 95% CI: 2.73 ; 21.84, p = 0.000), and heavy smokers increased myocard infarction risk by 26 times (Adj OR 25.61, 95% CI: 5.25 ; 124.88, p = 0.000)_ Dyslipidemia increased myocard infarction risk by 2.8 times (Adj OR 2.82, 95% CI: 1.07 ; 7.44, p == 0.035). Job strain component which increased myocard infarction risk was high job demand (Adj OR 2-44, 95% CI: 1.02 ; 5.85, p = 0046). Conclusion: Job strain, smoking and dyslipidemia simultaneously had relationship with myocard infarction.