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Sleep Quality and Faculty Performance: A Multivariate Analysis of Influencing Factors Ramadhani, Fitria; Ambarsarie, Riry; Anggraini, Rizkianti; Dita, Diah Ayu Aguspa; Febrianti, Syeri
Mutiara Medika: Jurnal Kedokteran dan Kesehatan Vol. 25 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mmjkk.v25i1.23546

Abstract

Sleep quality is a crucial factor influencing the overall well-being and performance of individuals, including university staff. Several studies have highlighted that sleep quality among university staff can be influenced by various factors, including workload, stress levels, work-life balance, and environmental conditions. This study conducted to analyzing the factors related to sleep quality and their impact on the work performance of staff at Universitas Bengkulu. This analytical observational with a cross-sectional approach was conducted on a sample of 115 teaching staff at Universitas Bengkulu, who met the criteria lecturers at Universitas Bengkulu, aged 25-65, and who have been teaching for at least three months. Sleep quality is measured with the Pittsburgh Sleep Quality Index (PSQI) and individual productivity is assessed using the Individual Work Productivity Questionnaire (IWPQ). The data analysis methods used are Chi-Square, Simple Logistic Regression, and Multiple Logistic Regression. The result of this study there is a significant relationship between sleep quality (p=0.041); sleep duration (p=0.02); and activity disfunction (p=0.029) with work performance. In the final multivariate modeling, logistic regression analysis revealed that the variables significantly related to work performance are sleep duration and activity dysfunction (p=0.001). For conclusion, the study found that poor sleep quality and activity dysfunction significantly impact work performance, with less than 5 hours of sleep increasing the risk of low performance by up to 10.6 times. Despite high sleep efficiency, inadequate sleep duration and daytime activity issues were key factors contributing to reduced productivity
PPAR-γ, but not KCNJ11, Is Associated with Type 2 Diabetes Mellitus Progression among First-Generation Offspring of Lembak Ethnicity in Bengkulu, Indonesia Dita, Diah Ayu Aguspa; Yunita, Elvira; Rizqoh, Debie; Ashan, Hesty Rhauda; Fahira, Dita
Althea Medical Journal Vol 12, No 4 (2025)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v12n4.4448

Abstract

Background: Genetic and environmental factors influence the onset and progression of type 2 diabetes mellitus (T2DM). Variants affecting peroxisome proliferator activated-receptor gamma (PPAR-γ) and potassium, inwardly rectifying channel subfamily J member 11 (KCNJ11) may alter insulin secretion and sensitivity. This study investigated the association between PPAR-γ and KCNJ11 gene expression and the risk of T2DM among first-generation (F1) offspring of T2DM patients of Lembak ethnicity in Bengkulu, Indonesia.Methods: A cross-sectional observational study was conducted from July to September 2024, recruiting 60 unrelated participants aged 18–40 years, all of whom were exposed to the neron tradition (high-sugar consumption). Gene expression of PPAR-γ and KCNJ11 was determined using real-time quantitative PCR (qRT-PCR).Results: F1 offspring of T2DM patients (n=30) had significantly (p<0.05) higher body weight (66.89±15.62 kg; p=0.008), body mass index (BMI) (23.55±3.46 kg/m2), HbA1C (6.55±1.25), random blood glucose levels (median 131 [75–371] mg/dl), and duration of neron consumption (median 3 [1–12] years) compared with controls (n=30). PPAR-γ expression differed significantly between group (1.60±2.91 vs 4.23±8.54; p=0.009), whereas KCNJ11 expression did not (0.79±0.76 vs 1.37±0.89; p=0.124). Multivariate analysis revealed no correlation between gene expression and the patients characteristic (p>0.05). Linear regression showed 30.4% of PPAR-γ and 45.8% of KCNJ11 variability.Conclusions: PPAR-γ expression is associated with T2DM onset among Lembak F1 offspring, whilst KCNJ11 expression is not. Multiple genetic and environmental factors likely contribute to disease progression. Screening for PPAR-γ expression may support interventions targeting insulin sensitivity and lipid metabolism.