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21 TV viewing hours, sugar sweetened beverage consumption pattern, dietary calories, and BMI of early, middle and late adolescents
  1. Pallavi Bardhar1 and
  2. Neelam Wason2
  1. 1IGNOU, research guide, Bangalore, Karnataka, India
  2. 2Jai Narain Vyas University, Jodhpur, India


Introduction Health care worker’s job accountability may influence their ability to maintain healthy lifestyle and dietary habits. Therefore, there is a need to address health issues among health care workers (HCW).

Material Based on quota system, from the urban hospitals of Bangalore city (Karnataka) India, 205 subjects were selected. Professional classification was followed as suggested by WHO (2020). Self-reported height and weight was noted. Calculated BMI was classified as per WHO, (2020) further compared with macro and micronutrient intake (calculated using 2 day 24 hour dietary recall method), Mean Adequacy Ratio (MAR), Nutritional Adequacy Ratio (NAR), physical activity, stress and sleep pattern.

Results Current study included, 74(36.07%) doctors, 97(47.32%) nurses and 34 (16.5%) paramedical staff. BMI classification indicated more male doctors 15(39.5%) and 5(13.9%) less overweight females. Only 4(11.1%) obese females, consumed (179.19±44.91gm/day) carbohydrates but 2(5.3%) obese male doctors, consumed more carbohydrates (213.02±38.9gm/day) and less physically active (P < 0.001). Among female nurses, 23(25.8%) were overweight, consumed 45.05±10.08gm protein per day. Only 10 (11.24%) female nurses were obese but more obese males consumed 49.56±11.41gm/day fat and energy intake as 178 kcal/per day. Increase in number of working hours among nurses (8 to 10 hours/day), significantly raised stress level (r = 5.996, P =0.05). NAR micronutrient intake showed (70%) were ‘inadequate’ to ‘fairly adequate’ for calcium, iron and vitamin B12. The Mean Adequacy Ratio (MAR) 82.18% and 44.62% respectively (P < 0.001 for doctors and nurses) and (P = 0.003 for nurses and paramedical staff). Pittsburg Sleep Quality Index (PSQI) scale showed (36%) ‘poor sleep’ quality and (20%) ‘need help’ category. Perceived Stress Scale (PSS) showed (72.68%) were moderately stressed with compromised sleep quality.

Conclusion When BMI was compared with macronutrients and micronutrient, sleep and stress patterns results showed a positive correlation (r = 0.312; t=4.679; p< 0.001). Indicating stress can influence body composition, nutrition intake and sleep quality.

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