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The prevalence and determinants of vitamin D status among older adults: Data from a longitudinal aging study
Omolbanin Motamed Rezaei1, Farshad Sharifi2, Mitra Moodi3, Asghar Zarban4, Reza Tahergorabi5, Zoya Tahergorabi6
1 Instructor of Environmental Toxicology, Social Determinants of Health Research Center, Department of Occupational Health, School of Health, Birjand University of Medical Sciences, Birjand, Iran
2 Department of Geronoto-Epidemiology, Elderly Health Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
3 Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
4 Department of Clinical Biochemistry, School of Medicine, Birjand University of Medical Sciences, Birjand, Iran
5 Medical Toxicology and Drug Abuse Research Center, Birjand University of Medical Sciences, Birjand, Iran
6 North Carolina Agricultural and Technical State University, Greensboro, NC, USA
Correspondence Address:
Zoya Tahergorabi
Department of Physiology, School of Medicine, Birjand University of Medical Sciences, Ghafari Street, Birjand
USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijpvm.ijpvm_366_21
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Background: Aging is identified as a risk factor for vitamin D deficiency (VDD) therefore this investigation was designed to determine the prevalence of VDD and its determinants in a sample of older adults. Methods: The data of this study were obtained from the baseline wave of the Longitudinal Aging Study (LAS). Demographic, past medical history, medication history, and smoking behavior were collected using an interview approach. The physical activity and nutritional status of the participants were assessed using a standard questionnaire. Anthropometric indices were measured according to a standard protocol then body mass index (BMI) was calculated. Serum vitamin D and calcium levels were measured by autoanalyzers. Univariate and multiple logistic regression models were applied to detect the associated factors with VDD. Results: Mean age of the participants was 71.82 (SD = 7.63) years. A total of 1319 people participated in our study, and 51.16% (n = 688) were female. A total of 8.42% (n = 111) of the participants had VDD and 17.06% of them (n = 225) had insufficient vitamin D levels. In the multivariable logistic regression model, the age group of 70–79 years in comparison with the age group of 60–69 years had a 43% less chance of VDD. Furthermore, being overweight (OR = 0.36, P = 0.01) and obese (OR = 0.35, P = 0.02), and taking vitamin D supplements (OR = 0.31, P = 0.04) were significantly associated with VDD. Conclusions: Our results showed that 25% of older adults had vitamin D deficiency or insufficiency. In addition, some modifiable lifestyle factors were associated with VDD. Given that, old age is considered a risk factor for VDD. Therefore, detection and improvement of VDD may be a preventive measure in at-risk subjects.
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