ASSESSMENT OF NUTRIENT INTAKE AND ANTHROPOMETRIC MEASUREMENTS AMONG TECHNOLOGY PROFESSIONALS
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Keywords:
Health risk, Nutrient intake, Technology personnel, WC, WHRAbstract
The study conducted in 2015 investigated the relationship between nutritional intake and anthropometric measurements among technology personnel, aimed at elucidating their impact on health risks. Utilizing a 24-hour recall approach in the Trivandrum Corporation, the research evaluated food consumption patterns and conducted various anthropometric measurements to assess the risk of metabolic complications. This study examined the nutritional intake and health risks of technology personnel using a 24-hour recall method and anthropometric measurements, and it revealed excessive fat (237.289 % of RDA) and vitamin C (185.863 % of RDA) intake, with iron deficiency (58.782 % of RDA). Health risk assessments based on waist-to-hip ratio and BMI indicated that private sector employees faced higher risks of metabolic complications and disease, with 40 percent at increased risk compared to 30 percent in the government sector. A statistically significant positive correlation (p < .01) was found, indicating that higher BMI is associated with greater waist circumference. The study highlighted the need for targeted interventions and lifestyle modifications for technology professionals, considering dietary habits and occupational factors to improve their overall well-being.
References
1. Ashwell, M and Gibson, S. 2016. Waist-toheight
2. ratio as an indicator of early health
3. risk: simpler and more predictive than
4. using a matrix based on BMI and waist
5. circumference. BMJ Open. 6(3):1-7.
6. Aveline, S and Kumar, R. 2018. Health Issues
7. and Challenges Faced by Employees
8. Engaged in Software Industries in
9. Chennai. Journal of Pure and Applied
10. Microbiology. 12(2):721–724.
11. Banerjee, P., Bhanuprakash Reddy, G., Panda,
12. H., Kiran Kumar Angadi, Reddy, T and
13. Gavaravarapu, S.M. 2023. Diets
14. Lifestyles and Metabolic Risk Factors
15. among Corporate Information
16. Technology (IT) Employees in South
17. India. Nutrients. 15(15):3404–3404.
18. Bharathi, R. 2021. Dietary and nutrient intakes
19. of rural and urban women: A study from
20. South India. Research Trend. Net.
21. Retrieved from the website (https://
22. www. r e s e a r c h t r e n d . n e t / i j tas/pdf/
23. 4%20Dietary%20and%20Nutrient%
24. 20Intakes%20of%20Rural%20and%20
25. Urban%20 Women% 20A%20Study%
26. 20from%20South%20India%20R.
27. %20BHARATHI) on 02.01.2024
28. Dobrowolski, P., Prejbisz, A., Kury³owicz, A.,
29. Baska, A., Burchardt, P., Chlebus, K.,
30. Dzida, G., Jankowski, P., Jaroszewicz, J.,
31. Jaworski, P., Kamiñski, K., Kap³on-
32. Cieoelicka, A., Klocek, M., Kukla, M.,
33. Mamcarz, A., Mastalerz-Migas, A.,
34. Narkiewicz, K., Ostrowska, L., OEli¿, D
35. and Tarnowski, W. 2022. Metabolic
36. syndrome – a new definition and
37. management guidelines A joint position
38. paper by the Polish Society of
39. Hypertension, Polish Society for the
40. Treatment of Obesity, Polish Lipid
41. Association, Polish Association for Study
42. of Liver, Polish Society of Family
43. Medicine, Polish Society of Lifestyle
44. Medicine, Division of Prevention and
45. Epidemiology Polish Cardiac Society,
46. Club 30 Polish Cardiac Society, and
47. Division of Metabolic and Bariatric
48. Surgery Society of Polish Surgeons.
49. Archives of Medical Science. 18(5):1133–
50. 1156.
51. Fulgoni, V.L., Dreher, M and Davenport, A.J.
52. 2013. Avocado consumption is
53. associated with better diet quality and
54. nutrient intake and lower metabolic
55. syndrome risk in US adults: results from
56. the National Health and Nutrition
57. Examination Survey (NHANES) 2001–
58. 2008. Nutrition Journal. 12(1).
59. Gopalan, C., Sastri, R.B. and
60. Balasubramanian, S.C. 2021. Nutritive
61. Value of Indian Foods. National Institute
62. of Nutrition, Indian Council for Medical
63. Research, Hyderabad. pp. 47-58
64. Mohajan, D and Mohajan, H.K. 2023. Obesity
65. and Its Related Diseases: A New
66. Escalating Alarming in Global Health.
67. Journal of Innovations in Medical
68. Research. 2(3):12–23.
69. Nair, R. V. 2011. Phenomenal jump in urban
70. population. The New Indian Express.
71. Retrieved from the website (https://
72. www.newindianexpress.com/states/
73. kerala/2011/Jul/21/phenomenal-jump-inurban-
74. population-273633.html) on
75. 10.03.2024
76. Narici, M., De Vito, G., Franchi, M., Paoli, A.,
77. Moro, T., Marcolin, G., Grassi, B.,
78. Baldassarre, G., Zuccarelli, L., Biolo, G.,
79. Di Girolamo, F.G., Fiotti, N., Dela, F.,
80. Greenhaff, P and Maganaris, C. 2020.
81. Impact of sedentarism due to the COVID-
82. 19 home confinement on
83. neuromuscular, cardiovascular and
84. metabolic health: Physiological and
85. pathophysiological implications and
86. recommendations for physical and
87. nutritional countermeasures. European
88. Journal of Sport Science. 21(4):1–22.
89. NHLBI Obesity education Initiative. 2000. The
90. Practical Guide identification, evaluation,
91. and Treatment of Overweight and
92. Obesity in Adults. National Institute of
93. health publication, USA. pp. 7-10
94. Ramya, S., Subasshini, V and Aruna, M. 2021.
95. Survey on lifestyle nutritional status and
96. dietary pattern among IT employees.
97. International Journal of Multidisciplinary
98. Research in Arts, Science and
99. Commerce (IJMRASC), 1(1): 79-96.
100. Sedodo, S.N., Victoria, J.A. and Abosede, P.O.
101. 2013. Health Status, Blood Pressure and
102. Physical Activity Pattern of
103. Undergraduates in South West Nigeria.
104. Food Public Health. 3(4):191–194.
105. Sudharshini, Dr.S., Raman, Dr.V.V.A.
106. andArumai, Dr.M.M. 2018. Computer
107. Professionals and their Health issues
108. and Managements. Public Health Review:
109. International Journal of Public Health
110. Research. 5(3):117–122.
111. Thimmayamma, B.V. 1987. A hand book of
112. schedules and guidelines in socio
113. economic and diet surveys. National
114. institute of nutrition, Hyderabad.
115. World Health Organization. 2011. Waist
116. Circumference and Waist–Hip Ratio:
117. Report of a WHO Expert Consultation.
118. WHO document production, Geneva.
119. Zuniga, A.M.F. and Côté, J.N. 2017. Effects of
120. dual monitor computer work versus
121. laptop work on cervical muscular and
122. proprioceptive characteristics of males
123. and females. Human Factors: The
124. Journal of the Human Factors and
125. Ergonomics Society. 59(4):546–563.
126. Retrieved from website (https://doi.org/
127. 10.1177%2F0018720816684690)
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