• Users Online: 176
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 


 
 Table of Contents  
ORIGINAL ARTICLE
Year : 2019  |  Volume : 9  |  Issue : 3  |  Page : 210-215

Dietary intake of Vitamin D pattern and its sociodemographic determinants in the Southwest of Iran, Khuzestan: An application of marginalised two-part model


1 Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2 Department of Nutrition, Nutritional Health Research Center, Lorestan University of Medical Sciences, Khorramabad; Department of Nutrition, Nutrition and Metabolic Diseases Researcher Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
3 Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
4 Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Date of Web Publication6-Sep-2019

Correspondence Address:
Anoshirvan Kazemnejad
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/AIHB.AIHB_5_19

Rights and Permissions
  Abstract 


Background: Dietary intake of Vitamin D is an effective public health strategy to improve the current low Vitamin D status of populations. This research aimed to identify subpopulations at greater risk for Vitamin D deficiency. We studied the sociodemographic factors that are potentially associated with dietary intake of Vitamin D in the Iranian population. To do so, we used a marginalised two-part (MTP) model to control for the substantial proportion of zero Vitamin D intake. Methods: Data from 180 cross-sectional random samples were recorded. Dietary intake of Vitamin D was assessed using a 168-item validated food frequency questionnaire. Sociodemographic factors associated with intake of Vitamin D were explored using MTP-Weibull. Results: Mean (standard deviation) daily dietary Vitamin D intake was 0.54 (0.70) μg/day which was below the standard recommended level for all participants. The 'fish, milk and eggs' food group contributed 50% of total dietary intake of Vitamin D. Higher intake was associated with higher levels of education (P = 0.003). Furthermore, the odds of Vitamin D intake was associated with smoking status (odds ratio = 0.613, confidence interval: 0.407–0.914); where smoking decreases the chance of having a non-zero Vitamin D intake by 38.7%. Conclusion: Dietary intake of Vitamin D is below the recommended levels in our study in Iran, a developing country. We identified that education level and smoking status are associated with low intake. This result could lead to the straightforward recommendation for smokers and less-educated individuals to increase their intake of Vitamin D-rich foods.

Keywords: Dietary intake of Vitamin D, food sources, Khuzestan, marginalised two-part model, sociodemographic factors, Southwest of Iran


How to cite this article:
Shahrokhabadi MS, Abbasnezhad A, Kazemnejad A, Ghaheri A, Zayeri F. Dietary intake of Vitamin D pattern and its sociodemographic determinants in the Southwest of Iran, Khuzestan: An application of marginalised two-part model. Adv Hum Biol 2019;9:210-5

How to cite this URL:
Shahrokhabadi MS, Abbasnezhad A, Kazemnejad A, Ghaheri A, Zayeri F. Dietary intake of Vitamin D pattern and its sociodemographic determinants in the Southwest of Iran, Khuzestan: An application of marginalised two-part model. Adv Hum Biol [serial online] 2019 [cited 2019 Dec 9];9:210-5. Available from: http://www.aihbonline.com/text.asp?2019/9/3/210/266223




  Introduction Top


Vitamin D is a fundamental prohormone necessary for normal growth of bone as well as calcium absorption.[1] It is supplied either from the sunlight exposure as the major source or through dietary sources.[2] Based on the Dietary Reference Intakes report, an adequate intake (AI) for Vitamin D is 5, 10 and 15 g/day for those aged 1–50, 51–70 and older than 70 years, respectively.[3] Both prospective and retrospective epidemiologic studies indicate the protective effect of Vitamin D on metabolic bone disorders. Higher Vitamin D levels in the optimal range have been shown to be associated with decreased risk of schizophrenia, depression, autoimmune diseases and cardiovascular morbidity and high-mortality cancers such as colon, prostate and breast cancer.[2],[4] Thus, reaching and maintaining an optimal Vitamin D intake in all life stages are of major individual and public health importance.[5]

A majority of people in the world are not obtaining adequate levels of Vitamin D due to its limited natural sources. Therefore, Vitamin D deficiency has attracted considerable attention in the 21st century.[6] Vitamin D deficiency prevalence in the world population ranges between 30% and 50%.[7] In Iran, the prevalence is approximately 60% (95% confidence interval [CI]: 50–70) according to a systematic review of 48 studies, including 18,531 samples.[8]

Many studies have suggested that the prevalence of Vitamin D deficiency is significantly different for various sociodemographic classes, lifestyles and geographical regions, but only a few studies have assessed daily Vitamin D intake in terms of socidemographics, anthropometric and lifestyle factors.[5],[8],[9] On the other hand, distribution of food consumption data is generally right skewed and includes substantial number of zero values (zero inflated). These zero values represent the non-consumers, in our case, individuals who do not eat any of the foods containing Vitamin D.[9],[10],[11] A naïve approach is removing the zero values from the dataset and analysing the consumer population using e.g., the simple regression models. Nonetheless, ignoring the zero inflation leads to biased estimates of the effect and decreased efficiency. Previous studies of food consumption have used the Tobit model and double-hurdle model to address the problem of zero consumption. However, empirical results obtained from these models are not usually robust to distributional assumptions which will not hold for smaller sample sizes. In this study, we explore an alternative approach to addressing the zero observation issue in food consumption data analysis.

Marginalised two-part (MTP) models are known to properly handle the semi-continuous (zero inflated) feature of food consumption data. The MTP models parameterise the marginal mean among all zero and non-zero values directly from the regression coefficients and provide a direct interpretation of covariate effects on the marginal mean (e.g., the entire population of consumers and non-consumers). The flexibility of these models will allow two separate models; one for zero values and another for positive values. In general, the first part uses a probit or logit link function for modelling the probability of being a positive value and the second part uses a link function with positive support to model the non-zero values. MTP-Weibull approach is a good choice for a real data applications, especially in case of small sample sizes.[12],[13] We estimated mean daily dietary Vitamin D intake of Ahvazian individuals who participated in this study, to investigate the variation of Vitamin D intake among population subgroups. Moreover, we used MTP-Weibull to assess the potential impact of sociodemographic factors on Vitamin D intake using both consumers and non-consumers.


  Methods Top


The study population consisted of 180 individuals, aged 20–60 years, who lived in Ahvaz, southwest of Iran, in 2015. The estimated sample size was 125 based on the N = Z2*SD2/d2 formula at a 95% confidence level. N is the sample size, standard deviation (SD) is the anticipated SD and d is the desired precision, which was set to 0.7. The initial value for SD was adopted from Jayaratne's dietary Vitamin D intake study.[14] Since we used cluster sampling, an additional 40% was added to compensate for the design effect. Therefore, the total sample size was set to 175, which was rounded off to 180. A 168-item validated food frequency questionnaire was used to assess the usual dietary intakes of selected nutrients and foods over the previous year. This questionnaire contains a list of foods with a standard serving size (Willett format) and was administered by trained dieticians asking the participants to report the frequency of their consumption per item during the past 12 months. To assess the total Vitamin D intake, the NUTRITIONIST III software (version 7.0; N-Squared Computing, Salem, OR, USA) was used. Fish, milk, yogurt and eggs were considered as the main sources of dietary Vitamin D.[15] To measure sociodemographics, a brief questionnaire was used including sex, age, education and smoking behaviour. Cigarette smokers were defined as individuals who smoked more than one cigarette daily and had smoked regularly for more than a year before the interview. Non-smokers were defined as participants who had never smoked or had smoked <100 cigarettes by the time of interview. Participants' weight was recorded to the nearest 100 g with minimal clothing and no shoes. Height was measured to the nearest 0.1 cm, while the participants stood normally without shoes. All participants were provided with adequate information about the objectives of the study, and the informed consent was obtained from all of them. Ethical clearance for the research was obtained from the Ethics Committee of Jundishapur University of Medical Sciences.

In this study, univariate statistics (i.e., Mann–Whitney U-test and Kruskal–Wallis test) were used to evaluate the association between the sociodemographics factors and the outcome of interest. To assess the simultaneous effect of sex, age, education, body mass index (BMI) and smoking behaviour on dietary intake of Vitamin D, a MTP-Weibull model was used. Data management and analysis were performed using SPSS 16 and PROC NLMIXED in SAS. For all tests, two-sided P < 0.05 was interpreted as statistically significant.

MTP models are common approaches for modelling semi-continuous data. When adjusting for covariates, these models typically include one set of parameters for the binary response and a second set for the continuous component. Therefore, these models capture the zero inflation and skewness of semi-continuous data and allow researchers to evaluate the covariate effects on the overall marginal mean. For an MTP model, the general form of the pdf[12] can be written as:



Where πi is the probability of being non-zero. Using a logit link, πi is modelled as:



Which leads to a marginal mean of the form:



Where yi denotes the dietary intake of Vitamin D of the i th participant, as a positive continuous outcome with a point mass at zero. f denotes the probability density function (pdf) corresponding to a continuous distribution defined on a positive domain such as Weibull.[13] α and β are the vectors of model coefficients corresponding to the binary part and continuous part of the MTP-Weibull model, respectively.


  Results Top


About 67.8% of the 180 samples were female. The mean age was 38.2 ± 9.0 years. The age range of 161 participants (89.4%) was between 20 and 50 years, while only 10.6% was older than 50 years. Regarding the education level of the interviewees, 48 (26.7%) had primary education, 76 (42.2%) had secondary education and 56 (31.1%) had a university education. Mean BMI was 25.2 ± 3.0 kg/m2 and the prevalence of obesity (BMI ≥25 kg/m2) was 76.1%. A large proportion of the participants was non-smokers (72.2%) and the current non-smokers tended to be female, younger, slimmer and had studied beyond primary school. Further analyses are adjusted for these four factors.

Mean (SD) daily dietary Vitamin D intake in our study sample was 0.54 (0.70) μg/day, while 54.4% of participants did not take any dietary Vitamin D. Association of the mean daily Vitamin D intake from food, with each of the sociodemographic factors are shown in [Table 1]. The amount of food items consumed (mg/day) in different groups is presented in [Table 2] and [Figure 1].
Table 1: Association between sociodemographics factors and daily dietary Vitamin D intake

Click here to view
Table 2: The amount of food items consumed (mg/day) in different groups

Click here to view
Figure 1: The amount of food items consumed (mg/day) into two groups: zero (Dark grey) and non-zero (Light grey) Vitamin D intake.

Click here to view


To assess the joint effect of independent variables on Vitamin D intake, we fitted MTP-Weibull. Results are presented in [Table 3]. The scale parameter σ suggests that the MTP-Weibull is a good choice for this data (P < 0.05). After adjusting for the effect other covariates, educational level was positively associated with Vitamin D intake in the continuous part. This indicates that having higher education is associated with higher Vitamin D intake. Moreover, smoking status was associated with the probability of having a non-zero outcome. The probability of having non-zero Vitamin D intake in non-smokers was higher compared to smokers. More specifically, the exponential of alpha coefficient corresponding to smoking status (odds ratio = 0.613, CI: 0.407–0.914) can be interpreted as: 'smoking decreases the chance of having a non-zero Vitamin D intake by 38.7%'. Finally, gender, age and BMI were not associated to Vitamin D intake (P > 0.05).
Table 3: Marginalised two-part Weibull model results for factors associated with dietary intake of Vitamin D

Click here to view



  Discussion Top


Mean daily dietary Vitamin D intake of the sample (0.54 μg/day) was below the recommended intake level, revealing a deficiency of Vitamin D intake in the study population. This finding was in accordance with the lack of Vitamin D intake in a majority of Americans, Europeans and Asians.[3],[10],[16],[17],[18] As oily fish, milk, eggs and fortified foods are considered as the limited dietary sources of Vitamin D, the low frequency of fish consumption in our study population could explain our finding.[5],[19] The current study found that Vitamin D level is higher among fish consumers in the study population. In addition, our study demonstrated that the people who received Vitamin D from food had a higher Vitamin D level than those who did not. This confirms that daily intake of Vitamin D can highly effect the serum Vitamin D level.

This low consumption could be due to the perception of fish as a very expensive product in cities with lower socioeconomic status.[20] Furthermore, people in the West of Iran tend to use more red meat in their diet due to animal husbandry and nomadic life.[21] The prevalence of Vitamin D deficiency in our study was a critical value of 49%. This finding is in agreement with the findings of the previous studies.[8],[22],[23] Our results indicated that the Vitamin D deficiency in Iranian adults is common. Given that Vitamin D deficiency is highly associated with several disease-related risk factors and even death, it is important that health professionals offer an effective regimen and other intervention strategies to correct the Vitamin D deficiency.[24]

Vitamin D deficiency is linked to a variety of factors including undesirable dietary habits, elderly age and/or lack of Vitamin D supplementation.[4],[25] Lack of sun exposure due to sociocultural issues[26],[27] may be compensated by a diet rich in oily fish or fish oil and also the use of Vitamin D supplements.[3],[26] In this study, the most extreme differences were observed in taking low-fat Yogurt and fish, respectively, between zero and non-zero Vitamin D intake groups. For the majority of the participants assessed in this study, the diet quality was unhealthy due to the small amount of vegetables, fruits, dairy and fish consumed. According to the previous studies, healthy eating reduces the risk of overall mortality.[28],[29],[30],[31]

Results showed that Vitamin D intake is significantly lower among smokers. Intriguingly, Vitamin D deficiency/insufficiency was approximately 83% for smokers compared to 64% for non-smokers. Reportedly, eating habits of smokers are different from the rest of population, smokers are generally less health conscious[32] and may have an altered taste due to smoking.[9],[32] A large difference in Vitamin D intake among smokers is attributable to lower intake of milk and fish. We also observed that smoking was inversely associated with Vitamin D intake. In addition, the results of the MTP-Weibull model showed that smoking decreases the chance of having a non-zero Vitamin D intake by 38.7%. The exact mechanisms by which smoking affects Vitamin D metabolism are still not clear. A possible explanation might be that most smokers have a less healthy lifestyle.[25] There is limited literature on the association between smoking status and daily intake of Vitamin D. Yet, our findings are consistent with studies that have reported a higher intake of Vitamin D for non-smokers.[2],[10],[32],[33],[34]

The results of this study also showed a statistically significant association between education level and Vitamin D intake. It seems that the less-educated population is either less health conscious or from a lower socioeconomic level. Both of these points to a lower knowledge of nutritional facts, influencing the quality of the diet and food choice.[35],[36] As highly educated individuals usually have indoor occupations, their higher intake of Vitamin D from food and supplements to compensate for low exposure to sunlight, could be another explanation for this result.[2] Education level can be associated to a healthy lifestyle and may increase one's access to knowledge about healthy dietary habits.[37] Furthermore, educated individuals may be more likely to read newspaper articles, to gain information and improve their lifestyles. We may speculate that highly educated individuals would also be better at understanding the sometimes complex information about diet–disease associations.[38] These results are consistent with those of Tønnesen et. al. and Alfawaz et. al.[35],[39]

The results of this study did not show any association between age and dietary Vitamin D intake. Although this contradicts some studies,[1],[2],[10],[40] it is consistent with the findings of some other studies.[41],[42] In our case, a possible explanation for is the relatively young age range. A large proportion of our study population was in the 20–50 age groups and has relatively similar dietary habits. Furthermore, we did not observe a significance difference in the total consumption of the main sources of Vitamin D among age groups. In contrast, previous studies have reported a significant difference in Vitamin D level and dietary Vitamin D intake between younger and elderly individuals.[10],[26],[33]

In the current study, gender and dietary Vitamin D intake were not associated. However, according to the previous research, women have lower levels of dietary Vitamin D intake than men.[42],[43] It is difficult to explain this result, but a potential reason is that most of our participants were woman. Regardless of gender, fish and dairy products are the major contributing food sources of Vitamin D. The amount of fish and dairy products consumed by both men and women was equal in our study. In terms of the main food sources of Vitamin D intake, our finding is in agreement with the current literature.[42]

Surprisingly, we did not find a significant association between BMI and dietary Vitamin D intake. This is in contrast with the previous research. Vitamin D intake has been shown to be inversely correlated with BMI and lower among overweight and obese individuals.[34],[41] Such variability may be caused by the natural variability in the Vitamin D content of each food consumed but may also be due to differences in analytical techniques employed.[14] However, with a small sample size, caution must be applied, as the findings might not be transferable to other populations.


  Conclusion Top


These findings are important as they highlight factors associated with dietary intake of Vitamin D in the Southwest of Iran, Khuzestan. On average, Vitamin D intake of the participants did not meet the current AI levels. As Vitamin D deficiency has been associated with various diseases including metabolic bone disorders, cancer, schizophrenia, depression and autoimmune inflammatory states; a sufficient Vitamin D intake is usually recommended. Our findings could be a guide for dietary recommendations. This study has found that dietary Vitamin D intake is associated with educational level and smoking status in Ahvaz. This could lead to the straightforward recommendation for smokers and less-educated individuals to increase their intake of Vitamin D-rich foods. Future studies on the current topic are recommended, especially among different ethnic groups as the accuracy of Vitamin D estimates are limited by the data obtained from the self-reported questionnaire.

Acknowledgements

The authors gratefully acknowledge the Nutrition and Metabolic Diseases Research Centre, Jundishapur University of Medical Sciences for the data. This work is a part of PhD thesis of the first author in the Biostatistics Department of Tarbiat Modares University of Medical Sciences, Tehran, Iran. We would also like to thank Farzad Ebrahimzaheh and Mitra Ebrahimpoor for their technical contribution to this work.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Brustad M, Alsaker E, Engelsen O, Aksnes L, Lund E. Vitamin D status of middle-aged women at 65-71 degrees N in relation to dietary intake and exposure to ultraviolet radiation. Public Health Nutr 2004;7:327-35.  Back to cited text no. 1
    
2.
Shinkov A, Borissova AM, Dakovska L, Vlahov J, Kassabova L, Svinarov D. Winter 25-hydroxyvitamin D levels in young urban adults are affected by smoking, body mass index and educational level. Eur J Clin Nutr 2015;69:355-60.  Back to cited text no. 2
    
3.
Moore C, Murphy MM, Keast DR, Holick MF. Vitamin D intake in the United States. J Am Diet Assoc 2004;104:980-3.  Back to cited text no. 3
    
4.
Holick MF. Vitamin D deficiency. N Engl J Med 2007;357:266-81.  Back to cited text no. 4
    
5.
Touvier M, Deschasaux M, Montourcy M, Sutton A, Charnaux N, Kesse-Guyot E, et al. Determinants of Vitamin D status in Caucasian adults: Influence of sun exposure, dietary intake, sociodemographic, lifestyle, anthropometric, and genetic factors. J Invest Dermatol 2015;135:378-88.  Back to cited text no. 5
    
6.
Ardawi MS, Sibiany AM, Bakhsh TM, Qari MH, Maimani AA. High prevalence of Vitamin D deficiency among healthy Saudi Arabian men: Relationship to bone mineral density, parathyroid hormone, bone turnover markers, and lifestyle factors. Osteoporos Int 2012;23:675-86.  Back to cited text no. 6
    
7.
Nguyen HT, von Schoultz B, Nguyen TV, Dzung DN, Duc PT, Thuy VT, et al. Vitamin D deficiency in Northern Vietnam: Prevalence, risk factors and associations with bone mineral density. Bone 2012;51:1029-34.  Back to cited text no. 7
    
8.
Tabrizi R, Moosazadeh M, Akbari M, Dabbaghmanesh MH, Mohamadkhani M, Asemi Z, et al. High prevalence of Vitamin D deficiency among Iranian population: A systematic review and meta-analysis. Iran J Med Sci 2018;43:125-39.  Back to cited text no. 8
    
9.
Morabia A, Bernstein MS, Antonini S. Smoking, dietary calcium and Vitamin D deficiency in women: A population-based study. Eur J Clin Nutr 2000;54:684-9.  Back to cited text no. 9
    
10.
Jensen CB, Petersen SB, Granström C, Maslova E, Mølgaard C, Olsen SF. Sources and determinants of Vitamin D intake in Danish pregnant women. Nutrients 2012;4:259-72.  Back to cited text no. 10
    
11.
Yen ST, Huang CL. Household demand for Finfish: A generalized double-hurdle model. J Agric Resour Econ 1996;21:220-34  Back to cited text no. 11
    
12.
Smith VA, Preisser JS, Neelon B, Maciejewski ML. A marginalized two-part model for semicontinuous data. Stat Med 2014;33:4891-903.  Back to cited text no. 12
    
13.
Voronca DC, Gebregziabher M, Durkalski VL, Liu L, Egede LE. Marginalized Two Part Models for Generalized Gamma Family of Distributions. arXiv preprint arXiv:151105629; 2015.  Back to cited text no. 13
    
14.
Jayaratne N, Hughes MC, Ibiebele TI, van den Akker S, van der Pols JC. Vitamin D intake in Australian adults and the modeled effects of milk and breakfast cereal fortification. Nutrition 2013;29:1048-53.  Back to cited text no. 14
    
15.
Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi F. Dairy consumption is inversely associated with the prevalence of the metabolic syndrome in Tehranian adults. Am J Clin Nutr 2005;82:523-30.  Back to cited text no. 15
    
16.
Nowson CA, Margerison C. Vitamin D intake and Vitamin D status of australians. Med J Aust 2002;177:149-52.  Back to cited text no. 16
    
17.
Holick MF, Binkley NC, Bischoff-Ferrari HA, Gordon CM, Hanley DA, Heaney RP, et al. Evaluation, treatment, and prevention of Vitamin D deficiency: An endocrine society clinical practice guideline. J Clin Endocrinol Metab 2011;96:1911-30.  Back to cited text no. 17
    
18.
Hashemi R, Bidar SS, Payab M, Dorosty-Motlagh AR. Urgent need of Vitamin D supplementation among Iranian elderly: A cross-sectional study. J Biomed Res 2014;28:509-12.  Back to cited text no. 18
    
19.
Outila TA, Kärkkäinen MU, Seppänen RH, Lamberg-Allardt CJ. Dietary intake of Vitamin D in premenopausal, healthy vegans was insufficient to maintain concentrations of serum 25-hydroxyvitamin D and intact parathyroid hormone within normal ranges during the winter in Finland. J Am Diet Assoc 2000;100:434-41.  Back to cited text no. 19
    
20.
Aghamolaei T, Sadat Tavafian S, Madani A. Fish consumption in a sample of people in Bandar Abbas, Iran: Application of the theory of planned behavior. Arch Iran Med 2012;15:545-8.  Back to cited text no. 20
    
21.
Falahi E, Ebrahimzadeh F, Anbari K. Determination of the causes of tendency toward red meat and meat products in the West of Iran. J Res Med Sci 2012;17:373-7.  Back to cited text no. 21
    
22.
Eshaqh-Hosseini SK, Jafari-Koshki T, Arsang-Jang S, Shapouri J. Endocrinopathy complications and the role of serum ferritin as a marker of endocrinopathy prediction in patients with beta-thalassemia major. Adv Hum Biol 2018;8:169.  Back to cited text no. 22
  [Full text]  
23.
Vatandost S, Jahani M, Afshari A, Amiri MR, Heidarimoghadam R, Mohammadi Y. Prevalence of Vitamin D deficiency in Iran: A systematic review and meta-analysis. Nutr Health 2018;24:269-78.  Back to cited text no. 23
    
24.
Forrest KY, Stuhldreher WL. Prevalence and correlates of vitamin D deficiency in US adults. Nutr Res 2011;31:48-54.  Back to cited text no. 24
    
25.
Ren W, Gu Y, Zhu L, Wang L, Chang Y, Yan M, et al. The effect of cigarette smoking on Vitamin D level and depression in male patients with acute ischemic stroke. Compr Psychiatry 2016;65:9-14.  Back to cited text no. 25
    
26.
Ejtahed HS, Shab-Bidar S, Hosseinpanah F, Mirmiran P, Azizi F. Estimation of Vitamin D intake based on a scenario for fortification of dairy products with Vitamin D in a Tehranian population, Iran. J Am Coll Nutr 2016;35:383-91.  Back to cited text no. 26
    
27.
Heshmat R, Mohammad K, Majdzadeh S, Forouzanfar M, Bahrami A, Ranjbar Omrani G. Vitamin D deficiency in Iran: A multi-center study among different urban areas. Iran J Public Health 2008;37:72-8.  Back to cited text no. 27
    
28.
Pourmasoumi M, Karimbeiki R, Vosoughi N, Feizi A, Ghiasvand R, Barak F, et al. Healthy eating index/Alternative healthy eating index and breast cancer mortality and survival: A systematic review and meta-analysis. Asia Pac J Oncol Nurs 2016;3:297-305.  Back to cited text no. 28
  [Full text]  
29.
Willett WC, Sacks F, Trichopoulou A, Drescher G, Ferro-Luzzi A, Helsing E, et al. Mediterranean diet pyramid: A cultural model for healthy eating. Am J Clin Nutr 1995;61:1402S-1406S.  Back to cited text no. 29
    
30.
Onvani S, Haghighatdoost F, Surkan PJ, Larijani B, Azadbakht L. Adherence to the healthy eating index and alternative healthy eating index dietary patterns and mortality from all causes, cardiovascular disease and cancer: A meta-analysis of observational studies. J Hum Nutr Diet 2017;30:216-26.  Back to cited text no. 30
    
31.
Loef M, Walach H. The combined effects of healthy lifestyle behaviors on all cause mortality: A systematic review and meta-analysis. Prev Med 2012;55:163-70.  Back to cited text no. 31
    
32.
Morabia A, Curtin F, Bernstein MS. Effects of smoking and smoking cessation on dietary habits of a Swiss urban population. Eur J Clin Nutr 1999;53:239-43.  Back to cited text no. 32
    
33.
Mathews F, Yudkin P, Smith RF, Neil A. Nutrient intakes during pregnancy: The influence of smoking status and age. J Epidemiol Community Health 2000;54:17-23.  Back to cited text no. 33
    
34.
Skaaby T, Husemoen LL, Thuesen BH, Pisinger C, Hannemann A, Jørgensen T, et al. Longitudinal associations between lifestyle and Vitamin D: A general population study with repeated Vitamin D measurements. Endocrine 2016;51:342-50.  Back to cited text no. 34
    
35.
Tønnesen R, Hovind PH, Jensen LT, Schwarz P. Determinants of Vitamin D status in young adults: Influence of lifestyle, sociodemographic and anthropometric factors. BMC Public Health 2016;16:385.  Back to cited text no. 35
    
36.
Nayga RM Jr. Nutrition knowledge, gender, and food label use. J Consum Aff 2000;34:97-112.  Back to cited text no. 36
    
37.
Turrell G, Kavanagh AM. Socio-economic pathways to diet: Modelling the association between socio-economic position and food purchasing behaviour. Public Health Nutr 2006;9:375-83.  Back to cited text no. 37
    
38.
Parmenter K, Waller J, Wardle J. Demographic variation in nutrition knowledge in England. Health Educ Res 2000;15:163-74.  Back to cited text no. 38
    
39.
Alfawaz HA, Khan N, AlOteabi N, Hussain SD, Al-Daghri NM. Factors associated with dietary supplement use in Saudi pregnant women. Reprod Health 2017;14:104.  Back to cited text no. 39
    
40.
Lund B, Sørensen OH. Measurement of 25-hydroxyvitamin D in serum and its relation to sunshine, age and Vitamin D intake in the Danish population. Scand J Clin Lab Invest 1979;39:23-30.  Back to cited text no. 40
    
41.
Scholl TO, Chen X. Vitamin D intake during pregnancy: Association with maternal characteristics and infant birth weight. Early Hum Dev 2009;85:231-4.  Back to cited text no. 41
    
42.
Jenab M, Salvini S, van Gils CH, Brustad M, Shakya-Shrestha S, Buijsse B, et al. Dietary intakes of retinol, beta-carotene, Vitamin D and Vitamin E in the European Prospective Investigation into cancer and nutrition cohort. Eur J Clin Nutr 2009;63 Suppl 4:S150-78.  Back to cited text no. 42
    
43.
Gaikwad M, Vanlint S, Moseley GL, Mittinty MN, Stocks N. Factors associated with Vitamin D testing, deficiency, intake, and supplementation in patients with chronic pain. J Diet Suppl 2018;15:636-48.  Back to cited text no. 43
    


    Figures

  [Figure 1]
 
 
    Tables

  [Table 1], [Table 2], [Table 3]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
Abstract
Introduction
Methods
Results
Discussion
Conclusion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed272    
    Printed43    
    Emailed0    
    PDF Downloaded60    
    Comments [Add]    

Recommend this journal


[TAG2]
[TAG3]
[TAG4]