Abstract:

Background: Due to the combined demands of work obligations, domestic chores, and lifestyle choices that affect their physical and mental health, working women frequently endure significant levels of stress. This study used both traditional survey instruments and Bio-Well electro-photonic imaging to measure stress levels, energy balance, eating patterns, and lifestyle behaviors among female employees at Era University.
Methods: Ninety-two working women between the ages of 23 and 66 participated in a descriptive cross-sectional study. A standardized questionnaire measuring sociodemographic information, eating habits, sleep quality, stress perception, and lifestyle choices was used to gather data. Organ energy balance, stress index, and energy levels were assessed using Bio-Well scans under defined settings. The results were interpreted using descriptive and comparative analysis.

Results: Elevated physiological and felt stress were common, despite the fact that the majority of subjects had normal BMI and appropriate Bio-Well energy levels. 62% of women reported experiencing daily stress, and according to Bio-Well analysis, 66.3% of them fell into the “Increased Stress” category. Stress levels were significantly correlated with sleep problems, and 82.6% of people used caffeinated beverages daily. Cereals, fats, and sweets were consumed more frequently than green leafy vegetables and fruits, according to dietary trends. Stress was largely caused by workload, deadlines, a lack of managerial assistance, and conflicts between work and home life. Stress also had a big impact on sleep duration and eating habits.

Conclusion: Despite generally sufficient energy levels, the results show significant stress and lifestyle abnormalities among working women. To improve women’s productivity and well-being, workplace-based nutrition education, stress-reduction strategies, and encouraging organizational policies are crucial. Combining /Bio-Well evaluations with traditional methods provides a thorough foundation for holistic health monitoring.