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Latar Belakang: Sindrom metabolik (SM) merupakan kumpulan faktor risiko yang
meningkatkan kemungkinan terjadinya penyakit kardiovaskular dan diabetes melitus tipe 2. Prevalensi SM pada perawat di berbagai negara bervariasi, namun penelitian di Indonesia masih terbatas. Penelitian ini bertujuan untuk menganalisis faktor risiko SM pada perawat di Rumah Sakit X. Metode: Desain penelitian cross-sectional dengan pendekatan kuantitatif. Data diperoleh dari MCU 268 perawat di RS X pada Oktober-November 2024. Variabel yang diteliti meliputi faktor perilaku (kebiasaan merokok, konsumsi alkohol, aktivitas fisik) dan genetik (usia, jenis kelamin, riwayat penyakit keluarga). Analisis data dilakukan secara deskriptif dan inferensial menggunakan uji Chi Square. Hasil: Sebanyak 7 perawat (2,6%) mengalami SM, obesitas sentral (48,9%) dan tekanan darah tinggi (25,4%) sebagai parameter yang paling dominan. Analisis statistik menunjukkan hubungan signifikan antara jenis kelamin laki-laki dengan sindrom metabolik (p-value = 0,004; OR = 7,154). Tidak ditemukan hubungan signifikan antara kebiasaan merokok, konsumsi alkohol, aktivitas fisik, usia, atau riwayat penyakit keluarga dengan sindrom metabolik (p-value > 0,05). Kesimpulan: Jenis kelamin laki-laki merupakan faktor risiko signifikan terhadap kejadian SM pada perawat di RS X. Penelitian lanjutan diperlukan dengan cakupan faktor risiko yang lebih luas dan sampel yang lebih besar untuk memperkuat temuan ini.
Background: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that increase the risk of cardiovascular disease and type 2 diabetes mellitus. Although its prevalence among nurses has been explored globally, limited data exist in Indonesia. Objective: This study aimed to assess the association between risk factors and the presence of MetS among nurses at Hospital X. Methods: A cross-sectional study was conducted involving 268 nurses who underwent medical check-ups from October to November 2024. Variables included behavioral factors (smoking, alcohol consumption, physical activity) and genetic factors (age, sex, family history). Data were analyzed descriptively and inferentially using Chi-square tests. Results: MetS was identified in 7 nurses (2.6%). Central obesity (48.9%) and elevated blood pressure (25.4%) were the most prevalent components. A significant association was found between male sex and MetS (p = 0.004; OR = 7.154). No significant associations were observed for smoking, alcohol use, physical activity, age, or family history (p > 0.05). Conclusion: Male gender is a significant risk factor for MetS among nurses in this setting. Future studies with larger samples and broader variables are recommended to strengthen and generalize these findings.
Penelitian ini bertujuan untuk menganalisis kelelahan dan faktor risiko kelelahan (fatigue)
pada pekerja konstruksi di Proyek A PT XYZ tahun 2025. Faktor terkait pekerjaan yang
diteliti mencakup waktu kerja, beban kerja, shift kerja dan lingkungan kerja. Sedangkan,
faktor tidak terkait pekerjaan yang diteliti mencakup usia, status gizi, kualitas tidur,
kuantitas tidur, kebiasaan merokok, konsumsi kafein, dan commuting time (waktu
perjalanan). Penelitian ini menggunakan pendekatan kuantitatif dengan desain studi cross
sectional dan dilaksanakan pada Februari – Juni 2025 di Proyek A PT XYZ.
Pengumpulan data dilakukan melalui kuesioner yang mencakup identitas responden,
Fatigue Assessment Scale for Construction Workers (FASCW), NASA Task Load Index
(NASA TLX) dan Pittsburgh Sleep Quality Index (PSQI). Jumlah responden dalam
penelitian ini adalah sebanyak 78 orang. Hasil penelitian menunjukkan bahwa 36
responden (46,2%) mengalami kelelahan, sedangkan 42 responden (53,8%) tidak
mengalami kelelahan. Berdasarkan analisis inferensial menggunakan uji Chi-Square,
diketahui bahwa terdapat hubungan yang signifikan antara shift kerja (p-value = 0,024;
OR = 0,227) dan usia (p-value = 0,024; OR = 3,000) dengan kelelahan pada pekerja
konstruksi di Proyek A PT XYZ.
This study aims to analyze fatigue and the risk factors associated with fatigue among construction workers at Project A, PT XYZ, in 2025. Work-related factors examined include working hours, workload, work shifts, and work environment. Meanwhile, non work-related factors analyzed include age, nutritional status, sleep quality, sleep quantity, smoking habits, caffeine consumption, and commuting time. This research employs a quantitative approach with a cross-sectional study design, conducted from February to June 2025 at Project A, PT XYZ. Data collection was carried out using a questionnaire covering respondent identity, the Fatigue Assessment Scale for Construction Workers (FASCW), NASA Task Load Index (NASA TLX), and Pittsburgh Sleep Quality Index (PSQI). The total number of respondents in this study was 78. The results showed that 36 respondents (46.2%) experienced fatigue, while 42 respondents (53.8%) did not. Based on inferential analysis using the Chi-Square test, a significant relationship was found between work shifts (p-value = 0.024; OR = 0.227) and age (p-value = 0.024; OR = 3.000) and fatigue among construction workers at Project A of PT XYZ.
Metabolic syndrome, according to the Joint Interim Statement (JIS), is a cluster of interrelated risk factors for cardiovascular disease and type 2 diabetes, characterized by the presence of at least three out of five specific conditions: central obesity, elevated triglyceride levels, low HDL cholesterol, hypertension, and hyperglycemia. This study aims to analyze the relationship between risk factors for metabolic syndrome, including environmental factors (work location and place of residence), behavioral factors (smoking habits, physical activity, eating pattern, and sleep duration), and genetic factors (age and family history of disease), with the incidence of metabolic syndrome among mine workers at PT XY, East Kalimantan. A cross-sectional study design with a quantitative approach was employed. Primary data were collected through online questionnaires, while data on metabolic syndrome components were obtained from Medical Check-Up (MCU) results. The analysis revealed that among 105 respondents, 22 (21%) had metabolic syndrome. Among the assessed risk factors, only age was significantly associated with the incidence of metabolic syndrome (p = 0.001). Other factors, such as work location, place of residence, smoking habits, physical activity, eating pattern, sleep duration, and family history of disease, showed no significant association.
Commonly, petrochemical industry is the type of industry with a high level of potential process accident hazards that can affect workers, the community and the surrounding environment. PT. XYZ as a producer of Urea Fertilizer (NH₂)₂CO is one of the petrochemical industry in Indonesia and their business processes cannot be separated from upstream process hazards (processing natural gas raw materials into semi-finished raw materials) to downstream process hazards (fertilizer production process). Therefore, a special management system is needed to identify, mitigate, control and respond to hazards from all products and processes activity in the workplace. Process Safety Management (PSM) is a proactive process-based safety management system in identifying, mitigating, controlling and responding to hazards from all activities or production processes in the workplace that are widely used by the petrochemical industry which is implemented by PT XYZ in one of its factories, it?s 2B plants. The purpose of this study is to analyze the maturity level of PSM implementation at PT XYZ's 2B plants which consists of 14 elements, namely Process Safety Information (PSI), Process Hazard Analysis (PHA), Operating Procedure (OP), Employee Participation (EP), Training (TRA). ), Contractor (CTR), Pre Startup Safety Review (PSSR), Mechanical Integrity (MI), Permit To Work (PTW), Management Of Change (MOC), Incident Investigation (II), Emergency Response and Planning (ERP), Compliance Audit (CA), and Trade Secret (TS) where the maturity level of PSM implementation is to be able to identify the advantages and disadvantages of each element implemented in order to identify and determine actions that can be taken to improve the implementation of PSM elements so as to reduce the potential for the accident process. In conducting research to assess PSM implementation maturity level, the research uses a mixed method of semi-qualitative descriptive analysis by approaching the sources of information obtained through questionnaires, interviews, and observations field and research company documents with a sample of 93 people. The results of the assessment research on 14 PSM elements at PT XYZ's 2B factory are committed to excellence where from these 14 elements there are only 4 elements at the compliant level.
