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Introduction. High HbA1c can potentially cause various health implications, primarily related to metabolic and cardiovascular diseases. Poor sleep quality increases the risk of elevated HbA1c levels through multiple mechanisms. This study aims to determine the association between sleep quality and high HbA1c levels in Indonesia's productive age population of 20-59 years. Methodology. This study was conducted cross-sectionally using Indonesia Family Life Survey (IFLS) 5 data in 2014. The sample size was 4223 using the total sampling method. Data were analyzed descriptively and estimated using multiple logistic regression analysis. The data were analyzed using STATA 13 software. Results. The prevalence of high HbA1c levels was 6.06%, while the prevalence of poor sleep quality was 15.16%. A total of 15.47% who experienced high HbA1c levels had poor sleep quality. The final model analysis showed that those with poor sleep quality were statistically significantly associated (p<0.001) and increased the risk of high HbA1c by four times compared to those with good sleep quality (PR= 3.99; 3.0563-5.2173). There were no confounders that could interfere with the association of high HbA1c levels with poor sleep quality in this study. However, those who were ≥45 years old, female, hypertension, and BMI ≥23 kg/m2 had a greater risk of high HbA1c in poor sleep quality. Conclusion. Poor sleep quality was shown to be significantly associated with the incidence of high HbA1c levels. Requires educational interventions and health counselling in the productive age population related to maintaining sleep quality based on the components of good sleep quality for maintaining normal HbA1c levels.
Data Kementerian ESDM mencatat 93 kecelakaan di area pertambangan pada tahun 2021, dengan 36 kecelakaan ringan dan 57 kecelakaan berat, merenggut 11 korban jiwa. Tahun 2019 menjadi tahun terburuk dengan 133 kecelakaan (27 ringan, 106 berat) dan 24 korban jiwa. Penelitian ini bertujuan untuk mengetahui hubungan kualitas tidur dengan kelelahan kerja setelah dikontrol oleh variabel confounding pada operator alat berat industri pertambangan PT.X Site A 2024. Metode yang digunakan pada penelitian ini adalah penerapan rancangan cross-sectional. Studi ini melibatkan 213 pekerja yang diminta untuk mengisi kuisioner. Analisis data dilakukan menggunakan uji multivariat analisis faktor risiko. Hasil penelitian menunjukkan bahwa 49,3% pekerja mengalami kelelahan kerja pada tingkat berat, sedangkan 50,7% responden mengalami kelelahan kerja pada tingkat ringan. Hasil penelitian menunjukkan terdapat hubungan antara kualitas tidur dengan kelelahan kerja (p value=0,011). Pekerja yang memiliki kualitas tidur buruk berisiko 2,38 kali untuk mengalami kelelahan kerja berat dibandingkan pekerja yang memiliki kualitas tidur baik setelah dikontrol oleh variabel masa kerja, waktu perjalanan, lingkungan tidur, dan faktor psikososial (overcommitment) (aOR=2,38 95% CI 1,22 – 4,65). Kata kunci: kelelahan kerja, kualitas tidur, operator alat berat, pertambangan
Data from the Ministry of Energy and Mineral Resources (ESDM) recorded 93 accidents in mining areas in 2021, with 36 minor accidents and 57 serious accidents, claiming 11 lives. The year 2019 was the worst year with 133 accidents (27 minor, 106 serious) and 24 fatalities. This research aims to determine the relationship between sleep quality and work fatigue after controlling for confounding variables in heavy equipment operators in the mining industry of PT.X Site A 2024. The method used in this research is the application of a cross-sectional design. This study involved 213 workers who were asked to fill out questionnaires. Data analysis was performed using multivariate risk analysis. The results of the study showed that 49.3% of workers experienced severe work fatigue, while 50.7% of respondents experienced mild work fatigue. The results of the study showed that there is a relationship between sleep quality and work fatigue (p value = 0.011). Workers with poor sleep quality were 2.38 times more likely to experience severe work fatigue compared to workers with good sleep quality after controlling for work experience, travel time, sleep environment, and psychosocial factors (overcommitment) (aOR = 2.38 95% CI 1.22 – 4.65). Keywords : work fatigue, sleep quality, heavy equipment operators
Occupational fatigue is a common problem in the construction industry, especially in tunnel projects such as MRT construction, where workers are exposed to physically and mentally demanding conditions. Fatigue in such an environment affects not only individual health and safety but also operational efficiency and overall project performance. This study aims to obtain fatigue determinants from individual, occupational and psychosocial characteristics factors among workers at the Glodok Station MRT Project. This study used a cross-sectional design with a questionnaire respondent of 118 workers. Data collection was conducted offline using a questionnaire. Fatigue was measured using the Industrial Fatigue Research Committee instrument. Some standard instruments were also used in this study such as Pittsburgh sleep quality index to measure sleep quality, niosh generic job stress questionnaire to measure workload, and the workplace stress scale to measure stress. Data were analyzed using chi- square and multiple logistic regression. The study included tunnel workers aged 19 - 57 years, with the majority (53.4%) aged ≤ 34 years. Most had normal nutritional status (60.2%) but experienced poor sleep quality (55.1%), and were light smokers (48.3%). The majority had ≤ 2 years of service. In terms of workload, 59.3% of workers performed light work, with most working >8 hours per day, and morning shifts being the most common. In terms of psychosocial conditions, mild stress was experienced by 39% of workers. The overall prevalence of fatigue among tunnel workers was found to be moderate. The analysis conducted showed a significant association between fatigue and factors such as age, sleep quality, smoking habit, work duration, workload, and work stress. In contrast, nutritional status, length of service, and shift system had no significant association with fatigue. Among all the factors studied, sleep quality had the strongest association with fatigue. Each identified factor can be used as a basis for developing policy strategies and fatigue mitigation programs in the tunnel project environment.
