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"Latar belakang: Profesi pengemudi taksi merupakan profesi yang unik, lingkungan kerja luas, jam kerja panjang, sistem pcnggajian yang fluktuatif, dan risiko kecelakaan di jalan raya. Pada PT X 60% kccelakaan dikarenakan mengantuk. Salah satu penyebab kondisi mengantuk adalah adanya kemungkinan obstructive sleep apnea (OSA). Bcbcrapa faktor risiko kemungkinan OSA seperti kegemukan dan hipertensi dijumpai pada pengemudi PT X. Metode: Penelitian ini menggunakan desain cross sectional pada pengemudi taksi X Mampang Jakana Selatan, pada bulan November»Desember 2008. Pengumpulan dilakukan dengan pengisian Kuesioner Berlin, dan pemeriksaan fisik (tekanan darah, bcrat, badan, tinggi badan, dan lingkar leher) pada 280 orang pengemudi. Hasil: Jumlah responden sebanyak 280 orang, didapatkan 70 orang (25%) kemungkinan OSA. Kemungkinan OSA pada pengemudi dipcngaruhi olch bcbcrapa faktor yaitu: IMT 325 (acyusred OR 4.29, p <0.001, 95% Cl 2.04 - 9.05) riwayat keluarga mendengkur (aafiusled OR 2,34, p <0.00l, 95% Cl 1.45 - 3.78), lingkar leher 3 40 cm (afyusred OR 3.37, p 0.002, 95% Cl 1.58 - 7.19), umur 3 36 tahun (argusted OR 2.47, p 0.027, 95% CI I.ll - 5.48) dan jadwal keija tinggi (ac§usted OR 3.07, p 0.0l6, 95% Cl L23 - 7.66). Kesimpulan: Didapat prevalensi kemungkinan OSA pada pengemudi Taksi X sebesar 25%. Kemungkinan OSA pada pcngcmudi Taksi X dipengaruhi oleh faktor indeks massa tubuh 325, riwayat keluarga mendengkur, Iingkar leher 540 cm, umur 336 tahun serta jadwal kerjatinggi.

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Background: Taxi Driver is an unique profession because of the wide environment, the long hours working duration, the fluctuation wages, and the accidental risks. About 60% taxi's accidents in Company X were caused by sleepy conditions. Sleepy conditions may be caused by obstructive sleep apnea (OSA). Some factors that increase the prevalence of suspected OSA, like obesity and hypertension were founded among the taxi drivers in this company.

Method: This study was conducted with cross sectional design. The data was collected from November until December 2008 in Mampang, Jakarta Selatan. Data collection used Berlin's Questionnaire and Physical examinations (blood pressure, weight, height, neck circumference) to 280 drivers.

Result: This research showed that there are 25%, it?s mean 70 respondents from 280 respondents have OSA prevalence. Prevalence of OSA among taxi?s drivers is caused by several factors. The factors are Body Mass index (BMI) 3 25 (adjusted OR 4.29, p < 0.00l, 95% Cl 2.04 - 9.05), snoring historical in family (adjusted OR 2.34, p < 0.001 , 95% CI 1.45 - 3.78), neck circumference 3 40 cm (adjusted OR 3.37, p 0.002, 95% CI 1.58 - 7.l9), age 2 36 years old (adjusted OR 2.47, p 0.027, 95% Cl 1.ll - 5.48) and high work schedule (adjusted OR 3.07, p 0.0l6, 95% Cl 1.23 - 7.66).

Conclusion: This research has founded that there are 25%, it?s mean 70 respondents from 280 respondents have suspected OSA. Prevalence of suspected OSA among taxi?s drivers is caused by BMI 2 25, snoring historical in family, neck circumference 5 40 cm, age 3 36 years old and high work schedule."

"Latar Belakang. Multipel sklerosis merupakan penyakit kronik progresif dimana selain dari berbagai gejala neurologis yang ada, gangguan tidur merupakan masalah yang juga memiliki dampak terhadap penyandang penyakit multipel skeloris. Beberapa penelitian telah menunjukkan bahwa prevalensi gangguan tidur ditemukan lebih tinggi pada penyandang penyakit multipel skeloris dibandingkan populasi normal. Penelitian ini bertujuan untuk mengetahui prevalensi serta pola gangguan tidur pada penyandang penyakit multipel sklerosis di Indonesia.Metode. Penelitian ini merupakan studi deskritptif potong lintang. Populasi penelitian merupakan pasien dengan penyakit multiple sklerosis yang berobat di RSCM Jakarta yang memenuhi kriteria inklusi, dan dilakukan pengambilan data klinis dan pengambilan sampel dengan mengisi kuesioner Pittsburgh Sleep Quality Assessment (PSQI) dan STOP-BANG Sleep Apnea Questionnaire, serta The Mini International Neuropsychiatric Interview ICD-10 (MINI ICD-10). Data yang didapat kemudian dilakukan pengolahan dan analisis data.Hasil. Dari empat puluh dua subjek MS yang diikutsertakan pada penelitian ini, 32 (76,2%) subjek berusia kurang dari 35 tahun, 34 (81,0%) berjenis kelamin perempuan, 23 (54,8%) subjek tidak bekerja, 9 (21,4%) mengalami depresi, dan 9 (21,4%) memiliki EDSS 6 ke atas. Insomnia ditemukan pada 32 (76,2%) subjek, dengan proporsi yang lebih besar ditemukan pada subjek berusia 35 tahun ke atas (80% vs 75%, p=0,556), berjenis kelamin laki-laki (87,5% vs 73,5%, p=0,374), kelompok yang tidak bekerja (78,3% vs 73,7%, p=0,504), kelompok dengan depresi (77,8% vs 75,8%, p=0,638), dan kelompok dengan EDSS lebih dari sama dengan 6 (77,8% vs 75,8%, p=0,638). Seluruh subjek memiliki risiko OSA dengan 39 (92,9%) subjek memiliki risiko ringan-sedang dan 3 (7,1%) subjek memiliki risiko berat. Hanya laki-laki yang memiliki risiko terhadap kejadian OSA (37,5% vs 0%, p=0,005), tetapi tidak berkaitan terhadap kejadian insomnia.Kesimpulan. Prevalensi gangguan tidur pada penyandang penyakit multipel skeloris di Indonesia sangat tingi. Untuk itu perlu dilakukan evaluasi dan pemeriksaan lebih lanjut guna menunjang diagnosis.

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Background. Multiple sclerosis (MS) is a chronic progressive disease in which sleep disorder, besides various neurologic manifestations, highly impacts the patients but is often neglected in clinical settings. Several studies had discovered that sleep disorder was more prevalent in MS than general population. This study aimed to investigate the prevalence and characteristics of sleep disorder in MS patients in Indonesia.Methods. A descriptive cross-sectional study involving MS patients was conducted at Dr. Cipto Mangunkusumo National General Hospital Jakarta. In addition to clinicodemographic data collection, data regarding sleep quality, obstructive sleep apnea (OSA), and depression state were assessed using Indonesian previously-validated Pittsburgh Sleep Quality Index, STOP-BANG Sleep Apnea Questionnaire, and The Mini International Neuropsychiatric Interview ICD-10, respectively.Results. Of forty MS participants included in this study, 29 (72.5%) aged less than 35 years, 32 (80.0%) were women, 20 (50.0%) were unemployed, 10 (25.0%) had depression, and 10 (25.0%) had Expanded Disability Scoring Scale (EDSS) of ≥6. Insomnia was found in 33 (82.5%) participants, of which larger proportion were male (100.0% vs 78.1%, p=0.309. Three (7,1%) participants had moderate risk of OSA. Only male had significant risk of OSA (moderate risk 25.0% vs 0%, p=0.036), but it did not associate with insomnia.Conclusion. Sleep disorder in MS patients in Indonesia is prevalent. There was potencies of the risk of OSA in MS, especially in male. Detection of insomnia and risk OSA is important in MS comprehensive care."

"ABSTRAK Abstrak :Obstructive Sleep Apnea (OSA) erat dikaitkan dengan penyakitmetabolik seperti hipertensi dan dislipidemia. Pasien dengan OSA juga seringditemukan pada pasien gagal jantung.Obsturctive sleep Apnea dapatmemeperberat gagal jantung.Objektif :Penelitian ini bertujuan mengetahuiprevalens dan faktor-faktor yangmemengaruhi kejadian OSA pada pasien gagal jantung kronik di RSUPPersahabatan Jakarta.Metode :Disain penelitian ini adalah potong lintang observasi. Pasien CHF FC I -II berkunjung ke poliklinik jantung dan vaskular RSUP Persahabatan yangmemenuhi kriteria inklusi dan eksklusi. Subjek dilakukan anamnesis,pemeriksaan fisis dan eko kardiografi untuk memastikan diagnosis CHFdandilanjutkan dengan wawancara menggunakan kuesioner Berlin untuk menentukanrisiko tinggi OSA kemudian dilanjutkan pemeriksaan polisomnografi laludilakukan analisis statistik.Hasil :Penelitian potong lintang ini dilakukan pada 70 sampel pasien gagaljantung. Dengan menggunakan kuesioner Berlin diperoleh sebanyak 42 pasien(60%) yang ditemukan berisiko tinggi OSA. Dengan menggunakan uji chi squareditemukan bahwa faktor usia (p=0,988), jenis kelamin (p=0,678), IMT (p=0,170),lingkar leher (p=0,605), lingkar perut (p=0,189), tekanan darah (p=0,922),merokok (p=0,678) dan fraksi ejeksi ≦40% (p= 0.109) tidak ditemukan memilikihubungan bermakna dengan risiko OSA pada pasien gagal jantung. Sementarafaktor ukuran tonsil ditemukan memiliki hubungan bermakna (p=0,005). Dari 42orang tersebut dipilih secara acak 26 orang untuk dilakukan pemeriksaan lanjutanpolisomnografi dan didapatkan pasien gagal jantung menderita OSA ringandengan nilai AHI 5 ? 15 sebanyak 7 pasien (26.7%), OSA sedang dengan AHI15-30 sebanyak 9 pasien (34.5%) dan OSA berat dengan AHI>30 sebanyak 10pasien (38.8%).Kesimpulan :prevalens pasien CHF FC I - II yang memiliki risiko tinggi OSAberdasarkan kuesioner Berlin dengan nilai >2 adalah sebanyak 42 orang (60%)dengan faktor risiko ukuran tonsil yang bermakna menyebabkan terjadinya OSApada CHF ABSTRACT Background: Obstructive Sleep Apnea (OSA) commonly associated withmetabolic disease including hypertension and dyslipidemia. Patients with OSA isalso commonly found in conjunction with heart failure condition.Obstructivesleep apnea can cause CHF getting worstObjective:This study aims to acknowledge prevalence of OSA and influencefactors in heart failure patients in Persahabatan HospitalMethods:Thisobservational cross sectionalstudy was being done in 70 sampleschronic heart failure patients who visited in cardio and vascular disease clinic inPersahabatan Hospital with fuctional class I - II who met the inclusion andexclusion criteria. Subjects were asked for history of disease, physicalexamination and echocardiography then underwentBerlins Questionnaire thenfollowed by polysomnography examination to detect the presence of OSA.Results: Observational cross sectionalstudy done in 70 samples chi square testcan be concluded that age (p=0,988), gender (p=0,678), Body Mass Index(p=0,170), neck circumference(p=0,605), abdominal circumference (p=0,189),blood pressure (p=0,922),smoking (p=0,678) and ejection fraction ≦40%(p=0.109),many factors are not significantly related to the risk of OSA in heartfailure patients.Meanwhile, tonsillar size is found to have significantly related toincidence of OSA in heart failure patients (p=0,005). 46 patients who have highrisk of OSA by Berlins questionnaire selected by random to get 26 patients whowill follow polysomnography examination, result for patients CHF with mildOSA AHI 5 -15 are 7 patients (26.7%), moderate OSA with AHI 15 - 30 are 9patients (34.5%) and severe OSA with AHI ≥ 30 are 10 patients (38.8%).Conclusion:The prevalence of CHF FC I - II with high risk OSA that screenedby Berlins Questionnaire in CHF patiens are 43 patients (60%) with tonsillar sizeis found to have significantly related to incidence of OSA.;Background: Obstructive Sleep Apnea (OSA) commonly associated withmetabolic disease including hypertension and dyslipidemia. Patients with OSA isalso commonly found in conjunction with heart failure condition.Obstructivesleep apnea can cause CHF getting worstObjective:This study aims to acknowledge prevalence of OSA and influencefactors in heart failure patients in Persahabatan HospitalMethods:Thisobservational cross sectionalstudy was being done in 70 sampleschronic heart failure patients who visited in cardio and vascular disease clinic inPersahabatan Hospital with fuctional class I - II who met the inclusion andexclusion criteria. Subjects were asked for history of disease, physicalexamination and echocardiography then underwentBerlins Questionnaire thenfollowed by polysomnography examination to detect the presence of OSA.Results: Observational cross sectionalstudy done in 70 samples chi square testcan be concluded that age (p=0,988), gender (p=0,678), Body Mass Index(p=0,170), neck circumference(p=0,605), abdominal circumference (p=0,189),blood pressure (p=0,922),smoking (p=0,678) and ejection fraction ≦40%(p=0.109),many factors are not significantly related to the risk of OSA in heartfailure patients.Meanwhile, tonsillar size is found to have significantly related toincidence of OSA in heart failure patients (p=0,005). 46 patients who have highrisk of OSA by Berlins questionnaire selected by random to get 26 patients whowill follow polysomnography examination, result for patients CHF with mildOSA AHI 5 -15 are 7 patients (26.7%), moderate OSA with AHI 15 - 30 are 9patients (34.5%) and severe OSA with AHI ≥ 30 are 10 patients (38.8%).Conclusion:The prevalence of CHF FC I - II with high risk OSA that screenedby Berlins Questionnaire in CHF patiens are 43 patients (60%) with tonsillar sizeis found to have significantly related to incidence of OSA.;Background: Obstructive Sleep Apnea (OSA) commonly associated withmetabolic disease including hypertension and dyslipidemia. Patients with OSA isalso commonly found in conjunction with heart failure condition.Obstructivesleep apnea can cause CHF getting worstObjective:This study aims to acknowledge prevalence of OSA and influencefactors in heart failure patients in Persahabatan HospitalMethods:Thisobservational cross sectionalstudy was being done in 70 sampleschronic heart failure patients who visited in cardio and vascular disease clinic inPersahabatan Hospital with fuctional class I - II who met the inclusion andexclusion criteria. Subjects were asked for history of disease, physicalexamination and echocardiography then underwentBerlins Questionnaire thenfollowed by polysomnography examination to detect the presence of OSA.Results: Observational cross sectionalstudy done in 70 samples chi square testcan be concluded that age (p=0,988), gender (p=0,678), Body Mass Index(p=0,170), neck circumference(p=0,605), abdominal circumference (p=0,189),blood pressure (p=0,922),smoking (p=0,678) and ejection fraction ≦40%(p=0.109),many factors are not significantly related to the risk of OSA in heartfailure patients.Meanwhile, tonsillar size is found to have significantly related toincidence of OSA in heart failure patients (p=0,005). 46 patients who have highrisk of OSA by Berlins questionnaire selected by random to get 26 patients whowill follow polysomnography examination, result for patients CHF with mildOSA AHI 5 -15 are 7 patients (26.7%), moderate OSA with AHI 15 - 30 are 9patients (34.5%) and severe OSA with AHI ≥ 30 are 10 patients (38.8%).Conclusion:The prevalence of CHF FC I - II with high risk OSA that screenedby Berlins Questionnaire in CHF patiens are 43 patients (60%) with tonsillar sizeis found to have significantly related to incidence of OSA."

"Obstructive sleep apnea OSA adalah salah satu gangguan pernapasan saat tidur dikarenakan obstruksi saluran napas atas. Pasien OSA tidak dapat tidur nyenyak dan dapat mengalami arrousal ketika tubuh berusaha mengambil napas. Para pegawai dengan gangguan ini dikhawatirkan mengalami penurunan kebugaran tubuh dan kantuk pada jam kerja sehingga tidak memiliki kualitas kerja maksimal. Pengambilan data dilakukan sebanyak satu kali untuk tiap individu dengan pelaksanaan selama dua hari sesuai dengan metode potong-lintang. Sebanyak 191 orang staf administrasi Universitas Indonesia dengan mayoritas responden berjenis kelamin perempuan menjadi responden dalam pengisian kuesioner STOP-Bang dan pengukuran berat badan, tinggi badan, serta tekanan darah untuk mengetahui persebaran risiko OSA dan hubungannya dengan tekanan darah, IMT, usia, lingkar leher, jenis kelamin, serta aktivitas merokok. Didapatkan 82,7 responden berisiko rendah, 7,3 sedang, dan 9,9 tinggi. OSA memiliki hubungan bermakna dengan semua faktor risiko yang disebutkan p0,05 . Hasil tidak bermakna karena proporsi responden berisiko rendah, sedang, dan tinggi terlalu tidak berimbang. Sebagian besar responden berisiko sedang dan tinggi memiliki lebih dari satu faktor risiko.

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Obstructive sleep apnea OSA is a respiratory disorder arising from obstruction in the upper respiratory tract, disturbing sleep cycle. Patients with OSA could not sleep well and experience arousal during effortful breathing. Employees with OSA were expected to have a decrease in fitness and an increase in sleepiness and fatigue, implicating performance at work. Data collection was held twice once to each respondent based on cross sectional metode. As many as 191 administration staff of Universitas Indonesia, majority of whom were female, filled STOP Bang questionnaires and underwent weight, height, and blood pressure examination to determine the risk prevalence and its relation to blood pressure, BMI, age, neck circumference, sex, and smoking. Among them, 82,7 were classified as low risk, 7,3 moderate risk, and 9,9 high risk. OSA was found to be significantly related to all risk factors p0,05 due to unequal sample sizes within each study group. The majority of respondents with moderate and high risk were known to have more than one risk factor. "

"Latar belakang: Kejadian obstructive sleep apnea (OSA) dipengaruhi kebiasaan tidur dan pekerjaan. Profesi perawat berhubungan dengan rotasi kerja yang mempengaruhi waktu tidur. Penelitian ini bertujuan mengetahui prevalens dan faktor-faktor yang berhubungan dengan OSA pada perawat RS Persahabatan Jakarta menggunakan kuesioner penapisan dan polisomnografi (PSG). Metode: Perawat dilakukan penapisan OSA menggunakan kuesioner Berlin dan STOP-Bang dan dilakukan pemeriksaan PSG untuk mengetahui prevalens OSA. Karakterisik demografis, pekerjaan dan kebiasaan dianalisis untuk mengetahui faktor yang berhubungan dengan OSA. Hasil: Penelitian yang melibatkan 168 perawat ini menunjukkan prevalens OSA adalah 32,74% (55/168) berdasarkan kuesioner Berlin dan 16,67% (28/168) berdasarkan kuesioner STOP-Bang. Indeks massa tubuh, lingkar leher (LL) dan status gizi merupakan faktor risiko OSA berdasarkan penapisan Berlin. Indeks massa tubuh, LL, status gizi, jenis kelamin, tingkat pendidikan, jam kerja dan jam tidur merupakan faktor risiko OSA berdasarkan penapisan STOP-Bang. Subjek dengan risiko OSA berdasarkan kuesioner Berlin menunjukkan hasil skor STOP-Bang lebih besar terhadap subjek tanpa risiko OSA dengan skor >2 (p<0,000). Pemeriksaan PSG menunjukkan 10 subjek menderita OSA. Kesimpulan: Prevalensi OSA adalah 32,74% berdasarkan kuesioner Berlin dan 16,67% berdasarkan kuesioner STOP-Bang. Indeks massa tubuh, LL dan status gizi merupakan faktor risiko OSA berdasarkan kedua kuesioner tersebut. Subjek dengan risiko OSA berdasarkan kuesioner Berlin menunjukkan skor STOP-Bang >2.

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Background: Obstructive sleep apnea (OSA) is associated with sleep habits and occupation. Nurses are subject to lengthy night working shift which deprives sleep. This study reveals the prevalence and the related factors of OSA among the nurses of Persahabatan Hospital Jakarta using screening questionnaire and polysomnography (PSG).

Methods: Nurses were screened for OSA using Berlin and STOP-Bang questionnaires and were examined using PSG to reveal the prevalence of OSA. Demographic, work and habitual characteristics were analyzed to reveal related factor of OSA.

Results: The study, involved 168 nurses, shows prevalence of OSA is 32.74% (55/168) based on Berlin questionnaire and 16.67% (28/168) based on STOP-Bang questionnaire. Body mass index, neck circumference (NC) and nutrition status (NUT) is shown as risk factor of OSA from Berlin questionnaire. Body mass index, NC, NUT, sex, education level, working hour and sleeping hour is shown as risk factor of OSA from STOP-Bang questionnaire. Subjects with risk of OSA, as determined by Berlin questionnaire, exhibits STOP-Bang score >2 compared to subjects without risk of OSA (p<0.000). The PSG shows 10 subjects are OSA.

Conclusions: Prevalence of OSA is 32.74% based on Berlin questionnaire and 16.67% based on STOP-Bang questionnaire. Body mass index, NC and NUT serves as OSA risk factors from both of these questionnaires. Subject with risk of OSA, as determined by Berlin questionnaire, tends to exhibit STOP-Bang score >2."

"ABSTRAKLatar BelakangObstructive Sleep Apnea (OSA) merupakan faktor risiko stroke yang belum lamadiketahui dan salah satu metode skrining OSA adalah kuesioner STOP-Bang.Penelitian ini bertujuan untuk mengetahui prevalensi risiko OSA menggunakankuesioner STOP-Bang dan melihat hubungannya dengan faktor risiko stroke lain.MetodeStudi secara potong lintang. Sebanyak 202 subjek berusia ≥ 35 tahun non stroke,dari lima wilayah Jakarta bulan April hingga Juni 2013, diwawancara tentangkuesioner STOP-Bang dan faktor resiko vaskular lain, kemudian dianalisa.HasilSebanyak 100 subjek (49.5%) memiliki risiko tinggi OSA, dimana 70%diantaranya adalah pria dan risiko meningkat seiring dengan peningkatan usia.Item pertanyaan dengan nilai estimasi kemungkinan risiko paling tinggi adalahlingkar leher (p=0.000, OR 23.5; 95%CI 5.5-101.5), diikuti dengan berhentibernapas saat tidur (p=0.000, OR 22.9; 95%CI 6.8-77.4), mendengkur (p=0.000,OR 19.1; 95%CI 9.3-38.9), jenis kelamin (p=0.000, OR 5.9; 95%CI 3.2-10.8),kelelahan di siang hari (p=0.000, OR 4.3; 95%CI 2.4-7.7), usia (p=0.000, OR 4.1;95%CI 2.3-7.3) dan riwayat pengobatan tekanan darah (p=0.000, OR 3.9; 95%CI1.9-8). Item indeks massa tubuh tidak dapat dianalisa. Faktor-faktor risiko strokelain berhubungan dengan risiko tinggi OSA dengan kontribusi secara berturutandari yang paling tinggi adalah aritmia (p=0.000, OR 9.5; 95%CI 2.1-42.6),diabetes melitus (p=0.000, OR 4.5; 95%CI 1.9-11), merokok (p=0.000, OR 3.7;95%CI 1.9-6.9), hipertensi (p=0.000, OR 3.6; 95%CI 2-6.5), obesitas sentral(p=0.002, OR 2.6; 95%CI 1.4-4.7), dan dislipidemia (p=0.046, OR 2.1; 95%CI 1-4.1).KesimpulanSemua item pertanyaan kuesioner, kecuali indeks massa tubuh, menunjukkanperbedaan yang bermakna antara risiko tinggi dan risiko rendah OSA. Faktorrisiko stroke lain yang memiliki estimasi risiko OSA dari yang paling tinggiadalah aritmia, diikuti dengan diabetes melitus, merokok, hipertensi, obesitassentral, dan dislipidemia

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ABSTRACTBackgroundObstructive Sleep Apnea (OSA) is one of the recent stroke risk factor to bediscovered. One screening method is the STOP-Bang questionnaire. The purposeof this study is to know the prevalence of high risk OSA using the STOP-Bangquestionnaire and analyze its correlation to other stroke risk factors.MethodsAs much as 202 subjects age ≥ 35 years old who never had a stroke, wereanalysed cross sectionally, from five regions of Jakarta, between April 2013 untilJune 2013. Each subject was interviewed using the STOP-Bang questionnaire,and other stroke risk factors, and then analysedResultsAs much as 100 subjects (49.5%) had high risk OSA, whereas 70% of them weremale and the risk of developing OSA increases with age. Questionnaire’s itemwith the highest odds ratio were neck circumference (p=0.000, OR 23.5; 95%CI5.5-101.5), followed by observed of not breathing(p=0.000, OR 22.9; 95%CI 6.8-77.4), snoring (p=0.000, OR 19.1; 95%CI 9.3-38.9), sex (p=0.000, OR 5.9;95%CI 3.2-10.8), daytime sleepiness (p=0.000, OR 4.3; 95%CI 2.4-7.7), age(p=0.000, OR 4.1; 95%CI 2.3-7.3) and history of hypertensive treatment(p=0.000, OR 3.9; 95%CI 1.9-8). Body mass index could not be analysed. Otherstroke risk factors that correlate with high risk OSA from the greatest likelihoodwere arrhytmia (p=0.000, OR 9.5; 95%CI 2.1-42.6), diabetes melitus (p=0.000,OR 4.5; 95%CI 1.9-11), smoking (p=0.000, OR 3.7; 95%CI 1.9-6.9),hypertension (p=0.000, OR 3.6; 95%CI 2-6.5), central obesity (p=0.002, OR 2.6;95%CI 1.4-4.7), and dyslipidemia (p=0.046, OR 2.1; 95%CI 1-4.1).ConclusionsAll of the questionnaire items, except body mass index, revealed significantdifference between high risk and low risk OSA. Other stroke risk factors from thegreatest likelihood to coincide with high risk OSA were arrhtmia, diabetesmellitus, smoking, hypertension, central obesity, and dyslipidemia"

"Pendahuluan Bagi seorang pilot, OSA dapat berdampak terhadap keselamatan penerbangan dengan menimbulkan fatigue dan gangguan kognitif pada memori, atensi, perencanaan, kemampuan memecahkan masalah dan multitasking. Salah satu faktor predisposisi utama terjadinya OSA adalah peningkatan berat badan, serta faktor pekerjaan juga dapat mempengaruhi timbulnya risiko OSA.  Penelitian ini bertujuan untuk mengetahui hubungan antara obesitas dan faktor-faktor lainnya terhadap risiko OSA pada pilot sipil di Indonesia.Metode Penelitian ini menggunakan disain potong lintang dan dilakukan di Balai Kesehatan Penerbangan. Responden diminta mengisi kuesioner STOP-BANG untuk menilai risiko OSA, kuesioner Epworth Sleepiness Scale untuk mengukur Excessive Daytime Sleepiness, kuesioner Nasal Obstruction Symptom Evaluation untuk mengukur obstruksi di hidung, dan kuesioner Global Physical Activity Questionnaire untuk mengukur aktifitas fisik. Kemudian dilakukan pengukuran antropometri berupa body mass index dan lingkar leher.Hasil Didapatkan 176 responden dengan prevalensi risiko tinggi OSA sebesar 35,8%. Kemudian, obesitas dan lingkar leher ditemukan mempunyai hubungan bermakna dengan risiko tinggi OSA (p<0,05). Untuk faktor lainnya, ditemukan juga bahwa usia, tekanan darah, obstruksi hidung, penyempitan orofaring, dan merokok ditemukan hubungan bermakna dengan risiko tinggi OSA (p<0,05). Tidak terdapat hubungan bermakna antara faktor pekerjaan dengan risiko OSA (p>0,05). Untuk faktor-faktor yang paling berhubungan dengan risiko OSA ialah lingkar leher, penyempitan orofaring, dan obstruksi nasal (p<0,05).Kesimpulan Terdapat hubungan yang bermakna antara faktor antropometri yaitu BMI dan lingkar leher; faktor demografi yaitu usia; faktor komorbid yaitu tekanan darah, obstruksi hidung, dan penyempitan rongga orofaring; dan juga faktor kebiasaan yaitu merokok dengan risiko OSA. Tidak terdapat hubungan bermakna antara faktor pekerjaan dengan risiko OSA.

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Introduction In pilots, OSA can impact flight safety as it can cause fatigue and cognitive impairment in memory, attention, planning, problem-solving skills, and multitasking. Increased body weight can predispose to OSA, and occupational factors may influence risk development. This study aims to determine the relationship between obesity and other factors on the risk of OSA in civilian pilots in Indonesia.

Methods This study used a cross-sectional design and was conducted at the Aviation Health Center. Respondents were asked to fill out the STOP-BANG questionnaire to assess OSA risk, the ESS questionnaire to measure EDS, the NOSE questionnaire to measure nasal obstruction, and the GPAQ questionnaire to measure physical activity. Then anthropometric measurements were taken in the form of BMI and neck circumference.

Results From 176 respondents, 35,8% had a high risk of OSA. Obesity and neck circumference, age, blood pressure, nasal obstruction, oropharyngeal narrowing, and smoking were found to have a significant association with a high risk of OSA (p<0.05). There is no significant relationship between occupational factors and OSA risk (p>0.05). The factors most associated with OSA risk were neck circumference, oropharyngeal narrowing, and nasal obstruction (p<0.05).

Conclusion There is a significant relationship between anthropometric factors such as BMI and neck circumference; demographic factors such as age; comorbid factors such as blood pressure, nasal obstruction, and narrowing of the oropharyngeal cavity; and habit factors such as smoking with the risk of OSA. There is no significant relationship between occupational factors and OSA risk."

"OSA berdampak terhadap keselamatan penerbangan dengan menimbulkan fatigue dan gangguan kognitif pada memori, atensi, perencanaan, kemampuan memecahkan masalah dan multitasking. Faktor predisposisi utama OSA adalah peningkatan berat badan, serta faktor pekerjaan juga dapat mempengaruhi timbulnya risiko OSA. Penelitian bertujuan untuk mengetahui hubungan antara obesitas dan faktor-faktor lainnya terhadap risiko OSA pada pilot sipil di Indonesia. Penelitian menggunakan disain potong lintang dan dilakukan di Balai Kesehatan Penerbangan. Responden mengisi kuesioner STOP-BANG untuk risiko OSA, kuesioner ESS untuk EDS, kuesioner NOSE untuk obstruksi di hidung, dan kuesioner GPAQ untuk aktifitas fisik. Kemudian dilakukan pengukuran antropometri berupa BMI dan lingkar leher. Didapatkan 176 responden dengan prevalensi risiko OSA 35,8%. Kemudian, obesitas, lingkar leher, usia, tekanan darah, obstruksi hidung, penyempitan orofaring, dan merokok ditemukan mempunyai hubungan bermakna dengan risiko tinggi OSA (p<0,05). Tidak terdapat hubungan bermakna antara faktor pekerjaan dengan risiko OSA (p>0,05). Faktor-faktor yang paling berhubungan dengan risiko OSA ialah lingkar leher, penyempitan orofaring, dan obstruksi nasal (p<0,05). Terdapat hubungan bermakna antara faktor antropometri yaitu BMI dan lingkar leher; faktor demografi yaitu usia; faktor komorbid yaitu tekanan darah, obstruksi hidung, dan penyempitan rongga orofaring; dan juga faktor kebiasaan yaitu merokok dengan risiko OSA.

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OSA can impact flight safety by causing fatigue and cognitive impairment in memory, attention, planning, problem-solving, and multitasking abilities. Increased body weight can predispose to OSA, and the risk development is affected by occupational factors. A cross-sectional study to determine the association between obesity and other factors on the risk of OSA in Indonesian civilian pilots was conducted at the Aviation Health Center. The respondents filled out the STOP-BANG questionnaire for OSA risk, the ESS questionnaire for EDS, the NOSE questionnaire for nasal obstruction, and the GPAQ questionnaire for physical activity. Anthropometric measurements (BMI and neck circumference) were measured. Of the 176 respondents, the prevalence of OSA risk was 35.8%. Obesity, neck circumference, age, blood pressure, nasal obstruction, oropharyngeal narrowing, and smoking were found to have a significant association with a high risk of OSA (p<0.05). There was no significant association between occupational factors and OSA risk (p>0.05). Neck circumference, oropharyngeal narrowing, and nasal obstruction were the factors most associated with OSA risk (p<0.05). There was a significant association between anthropometric factors (BMI and neck circumference), demographic factors (age), comorbid factors (blood pressure, nasal obstruction, and narrowing of the oropharyngeal cavity), and also smoking habits with the risk of OSA."