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Vitamin D status among women aged 40 years and above in a rural area of West Bengal: A community-based study
INTRODUCTION: Vitamin D deficiency is a recognized pandemic. Even in a tropical country like India, where there is plentiful sunshine, vitamin D deficiency is widely prevalent. Adult females, particularly those above the age of 40, are mostly affected because vitamin D determines the pattern of post...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293939/ https://www.ncbi.nlm.nih.gov/pubmed/30613508 http://dx.doi.org/10.4103/jfmpc.jfmpc_130_18 |
Sumario: | INTRODUCTION: Vitamin D deficiency is a recognized pandemic. Even in a tropical country like India, where there is plentiful sunshine, vitamin D deficiency is widely prevalent. Adult females, particularly those above the age of 40, are mostly affected because vitamin D determines the pattern of post-menopausal bone loss and age-related osteoporosis. METHODS: A community-based cross-sectional study was conducted from April–December 2017 among 194 women aged 40 years and above residing in the village of Singur, West Bengal. For this study, multistage random sampling method was used. Each respondent was interviewed using a structured schedule to collect data on sociodemographic characteristics, dietary pattern, their daily sun exposure, tobacco use, and morbidity profile. Individuals with 25OH vitamin D <30ng/ml were said to have vitamin D insufficiency (VDI). Data entry and analysis was done using SPSS version 16.0. RESULTS: Out of 194 participants, 70.6% had VDI (Vitamin D deficient-19.6%, Vitamin D insufficient-51.0%). Mean (SD) age of the participant was 56.9 (8.9) years. Mean (SD) duration of daily sun exposure was 138.5 (59.2) minutes. 74 (38.1%) had overweight/obesity. Only 73 (37.6%) had adequate diet. Test results revealed low SES, decreasing duration of daily sun exposure, diabetes, overweight/obesity, and inadequate diet as significant predictors of VDI, explaining 39.3% of the variance with model fit. CONCLUSION: The study has identified factors associated with VDI among the study participants. Emphasis on promoting consumption of vitamin D rich food and with vitamin D supplements, outdoor activities to increase sun exposure, maintaining optimum body weight, and strictly adhering to diabetes control will help alleviate the problem at large. |
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