Exploring Age-Related Patterns in Vitamin D Deficiency and Gender Variations

• Fathia Eessa faid

  University of Misrata, Faculty oh Health Sciences, Nutrition Department, Misrata, Libya

  Author

• Mustafa Mohamed Drah

  Faculty of Medical Science, Misrata, Libya

  Author

• Salwa Muftah Eljamay

  College of Medical Technology, Public Health Department, Derna, Libya

  Author

  https://orcid.org/0000-0003-2834-8028

Younger adults and adult males had a higher rate of vitamin D deficiency compared to older individuals and females, indicating important opportunities for preventive measures. Aim of this study: to find out The Association Between Age and Levels of Vitamin D Deficiency and Gender Differences, Material and Method: Samples were collected from Misurata Central Laboratory between Statistical analysis of vitamin D status data, T, the following text verification set, by electrochemical-liquid, Vitamin D status was determined according to the cut-off values proposed by the IOM deficient < 30 nmol/L, inadequate 25(OH)D level between 30 and 50 nmol/L) and  sufficient 25(OH)D level > 50 n/mol/L. Results: Between Groups: 76.411 (variation due to differences between age groups). Within Groups: 33,789.708 (variation within each age group). Degrees of Freedom (df): 4 (age groups) for between groups and 2797 for within groups. Mean Square: Between Groups: 19.103. Within Groups: 12.081. F-Statistic: 1.581. P-Value: 0.176. The p-value (0.176) indicates that there is no statistically significant difference in Vitamin D levels across age groups. The F-statistic (1.581) is low, reinforcing that the variation in Vitamin D levels attributed to age is minimal compared to the variation within age groups. Gender and Vitamin D Levels, Between Groups: 247.378 (variation due to gender differences). Within Groups: 453.122 (variation within gender groups). Degrees of Freedom (df): 4 (gender groups) for between groups and 2797 for within groups. Mean Square: Between Groups: 61.845. Within Groups: 0.162. F-Statistic: 381.750.  P-Value: 0.000. Interpretation: The p-value (0.000) indicates a statistically significant difference in Vitamin D levels between genders. The very high F-statistic (381.750) suggests that the variation in Vitamin D levels due to gender is substantial and meaningful. Conclusion: Age does not significantly affect Vitamin D levels in this dataset. However, gender significantly impacts Vitamin D levels, with notable differences observed between males and females.

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