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<art>
	<ui>1475-2891-11-56</ui>
	<ji>1475-2891</ji>
	<fm>
		<dochead>Research</dochead>
		<bibl>
			<title>
				<p>Tea and coffee consumption in relation to vitamin D and calcium levels in Saudi adolescents</p>
			</title>
			<aug>
				<au id="A1"><snm>Al-Othman</snm><fnm>Abdulaziz</fnm><insr iid="I1"/><insr iid="I2"/><email>amothman@ksu.edu.sa</email></au>
				<au id="A2"><snm>Al-Musharaf</snm><fnm>Sara</fnm><insr iid="I3"/><email>sara.almosharruf@gmail.com</email></au>
				<au id="A3" ca="yes"><snm>Al-Daghri</snm><mi>M</mi><fnm>Nasser</fnm><insr iid="I1"/><insr iid="I4"/><insr iid="I5"/><insr iid="I11"/><email>aldaghri2011@gmail.com</email></au>
				<au id="A4"><snm>Yakout</snm><fnm>Sobhy</fnm><insr iid="I4"/><email>sobhy.yakout@gmail.com</email></au>
				<au id="A5"><snm>Alkharfy</snm><mi>M</mi><fnm>Khalid</fnm><insr iid="I1"/><insr iid="I6"/><email>alkharfy@ksu.edu.sa</email></au>
				<au id="A6"><snm>Al-Saleh</snm><fnm>Yousef</fnm><insr iid="I1"/><insr iid="I7"/><email>alaslawi@hotmail.com</email></au>
				<au id="A7"><snm>Al-Attas</snm><mi>S</mi><fnm>Omar</fnm><insr iid="I1"/><insr iid="I4"/><insr iid="I5"/><email>omrattas@ksu.edu.sa</email></au>
				<au id="A8"><snm>Alokail</snm><mi>S</mi><fnm>Majed</fnm><insr iid="I1"/><insr iid="I4"/><insr iid="I5"/><email>msa85@yahoo.co.uk</email></au>
				<au id="A9"><snm>Moharram</snm><fnm>Osama</fnm><insr iid="I8"/><email>oaminm@gmail.com</email></au>
				<au id="A10"><snm>Sabico</snm><fnm>Shaun</fnm><insr iid="I4"/><email>eaglescout01@yahoo.com</email></au>
				<au id="A11"><snm>Kumar</snm><fnm>Sudhesh</fnm><insr iid="I9"/><email>sudhesh.kumar@warwick.ac.uk</email></au>
				<au id="A12"><snm>Chrousos</snm><mi>P</mi><fnm>George</fnm><insr iid="I4"/><insr iid="I10"/><email>chrousos@gmail.com</email></au>
			</aug>
			<insg>
				<ins id="I1"><p>Prince Mutaib Chair for Biomarkers of Osteoporosis, King Saud University, Riyadh, KSA</p></ins>
				<ins id="I2"><p>College of Applied Medical Sciences, King Saud University, Riyadh, KSA</p></ins>
				<ins id="I3"><p>College of Science, King Saud University Women's Section, Riyadh, KSA</p></ins>
				<ins id="I4"><p>Biomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia (KSA</p></ins>
				<ins id="I5"><p>Center of Excellence in Biotechnology Research, King Saud University, Riyadh, KSA</p></ins>
				<ins id="I6"><p>Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, KSA</p></ins>
				<ins id="I7"><p>College of Medicine, King Saud University of Health Sciences, Riyadh, KSA</p></ins>
				<ins id="I8"><p>King Abdulaziz University Hospital, King Saud University, Riyadh, KSA</p></ins>
				<ins id="I9"><p>Clinical Sciences Research Institute, Diabetes and Metabolism Unit, Warwick University, Coventry, CV47AL, UK</p></ins>
				<ins id="I10"><p>First Department of Pediatrics, Athens University Medical School, Athens, 11527, Greece</p></ins>
				<ins id="I11"><p>Prince Mutaib Bin Abdullah Chair for Osteoporosis, Biochemistry Department, College of Science, King Saud University, PO Box, 2455, Riyadh, 11451, Kingdom of Saudi Arabia</p></ins>
			</insg>
			<source>Nutrition Journal</source>
			<issn>1475-2891</issn>
			<pubdate>2012</pubdate>
			<volume>11</volume>
			<issue>1</issue>
			<fpage>56</fpage>
			<url>http://www.nutritionj.com/content/11/1/56</url>
			<xrefbib><pubidlist><pubid idtype="doi">10.1186/1475-2891-11-56</pubid><pubid idtype="pmpid">22905922</pubid></pubidlist></xrefbib>
		</bibl>
		<history><rec><date><day>3</day><month>1</month><year>2012</year></date></rec><acc><date><day>11</day><month>8</month><year>2012</year></date></acc><pub><date><day>20</day><month>8</month><year>2012</year></date></pub></history>
		<cpyrt><year>2012</year><collab>Al-Othman et al.; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
		<kwdg>
			<kwd>Coffee intake</kwd>
			<kwd>Tea intake</kwd>
			<kwd>Vitamin D levels</kwd>
			<kwd>Saudi adolescents</kwd>
		</kwdg>
		<abs>
			<sec>
				<st>
					<p>Abstract</p>
				</st>
				<sec>
					<st>
						<p>Background</p>
					</st><p>Coffee and tea consumption was hypothesized to interact with variants of vitamin D-receptor polymorphisms, but limited evidence exists. Here we determine for the first time whether increased coffee and tea consumption affects circulating levels of 25-hydroxyvitamin D in a cohort of Saudi adolescents.</p>
				</sec>
				<sec>
					<st>
						<p>Methods</p>
					</st><p>A total of 330 randomly selected Saudi adolescents were included. Anthropometrics were recorded and fasting blood samples were analyzed for routine analysis of fasting glucose, lipid levels, calcium, albumin and phosphorous. Frequency of coffee and tea intake was noted. 25-hydroxyvitamin D levels were measured using enzyme-linked immunosorbent assays.</p>
				</sec>
				<sec>
					<st>
						<p>Results</p>
					</st><p>Improved lipid profiles were observed in both boys and girls, as demonstrated by increased levels of HDL-cholesterol, even after controlling for age and BMI, among those consuming 9&#8211;12 cups of coffee/week. Vitamin D levels were significantly highest among those consuming 9&#8211;12 cups of tea/week in all subjects (p-value 0.009) independent of age, gender, BMI, physical activity and sun exposure.</p>
				</sec>
				<sec>
					<st>
						<p>Conclusion</p>
					</st><p>This study suggests a link between tea consumption and vitamin D levels in a cohort of Saudi adolescents, independent of age, BMI, gender, physical activity and sun exposure. These findings should be confirmed prospectively.</p>
				</sec>
			</sec>
		</abs>
	</fm>
	<bdy>
		<sec>
			<st>
				<p>Background</p>
			</st><p>Coffee is arguably the most widely consumed non-carbonated beverage around the world <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. In Saudi Arabia, the Arabian coffee &#8220;Gahwa&#8221;, is a common hot drink. It is a mainstay drink served to guests, consumed almost daily in most Saudi homes, and is served heavily in all local social occasions and gatherings. This coffee is served in traditional standard small cups (around 30&#8201;ml each) and is usually consumed with fresh or preserved dates.</p><p>Traditionally, the beneficial effects of coffee have been attributed solely to caffeine, but increasing evidence suggests that other compounds may contribute to the health benefits of coffee consumption <abbrgrp>
					<abbr bid="B2">2</abbr>
				</abbrgrp>. In fact, coffee is a complex mixture of compounds composed of more than a thousand different chemicals, including carbohydrates, lipids, nitrogenous compounds, vitamins, minerals, alkaloids and phenolic compounds among them caffeine, cafestol, and kahweol <abbrgrp>
					<abbr bid="B3">3</abbr>
				</abbrgrp>.</p><p>The effects of caffeine consumption in children is limited, and most studies have focused on behavioral effects <abbrgrp>
					<abbr bid="B4">4</abbr>
				</abbrgrp>. In general, caffeine doses less than 3.0&#8201;mg/kg of body weight have not resulted in any adverse effects on children in controlled clinical trials, but concerns regarding its effects on the developing nervous system have led to recommendations that daily intake should be limited to 2.5&#8201;mg/kg of body weight <abbrgrp>
					<abbr bid="B5">5</abbr>
				</abbrgrp>.</p><p>With regards to bone metabolism, increased coffee consumption was documented to cause a negative shift in overall calcium balance, but was not related to bone turnover in postmenopausal women with fracture osteoporosis <abbrgrp>
					<abbr bid="B6">6</abbr>
				</abbrgrp>. Furthermore, caffeine was observed to interact with the TT genetic variant of vitamin D receptor <abbrgrp>
					<abbr bid="B7">7</abbr>
				</abbrgrp>. Hannan and colleagues however reported no association between caffeine intake on bone metabolism <abbrgrp>
					<abbr bid="B8">8</abbr>
				</abbrgrp>. There is scarcity of information with regards to tea consumption and vitamin D, although in terms of skeletal effect, it has been reported that excessive consumption of brewed tea can lead to skeletal fluorosis and increased bone mineral density <abbrgrp>
					<abbr bid="B9">9</abbr>
				</abbrgrp>. This study aims to determine associations between the frequency of coffee and tea consumption and serum measures of vitamin D and calcium levels in a cohort of adolescent Saudis.</p>
		</sec>
		<sec>
			<st>
				<p>Methods</p>
			</st><p>In this cross-sectional study, a total of 330 (155) Saudi boys and (175) girls aged 11&#8211;14&#8201;years were randomly selected from the existing Biomarkers Screening in Riyadh Program (RIYADH Cohort), a capital-wide study composed of randomly selected individuals from different Primary Health Care Centers (PHCCs) in Riyadh, KSA. The study was carried out at the Biomarkers Research Program (BRP), King Saud University, Riyadh, KSA. A self-administered questionnaire was given to all participating subjects containing demographic and dietary information, particularly the frequency of coffee and tea intake. No distinction was made between the types of coffee (filtered, boiled, instant, pads) and between caffeinated and decaffeinated coffee. Subjects were divided into three groups based on coffee and tea consumption: Group I included those who drank 0to 4 cups of tea or coffee weekly, group II included those who consume 5&#8211;8 cups of tea or coffee per week and group III included those who consume tea or coffee 8&#8211;12 times per week. Furthermore, the questionnaire also sought information about sun exposure [frequency of exposure (e.g. no exposure, daily weekly) and physical activity [inactive, moderate, active], which were self reported.</p><p>Children with co-morbidities that needed immediate medical attention were excluded from the study. Written consent was obtained after orientation of the study protocol. Ethical approval was granted by the Ethics Committee of the College of Science Research Center, King Saud University, Riyadh, KSA.</p>
			<sec>
				<st>
					<p>Anthropometry and blood collection</p>
				</st><p>Participating subjects were requested to return to their respective PHCCs after an overnight fast for anthropometry and blood withdrawal. Anthropometry included height (to the nearest 0.5&#8201;cm), weight (to the nearest 0.1&#8201;kg), utilizing a standardized measuring tape in cm; and BMI (calculated as kg/m<sup>2</sup>). Blood was transferred immediately to a non-heparinized tube for centrifugation. Serum was then transferred to a pre-labeled plain tube, stored in ice, and delivered to the Biomarker Research Program in King Saud University on the same day.</p>
			</sec>
			<sec>
				<st>
					<p>Sample analyses</p>
				</st><p>Fasting serum samples were stored in a &#8722;20C freezer until analysis. Fasting blood glucose, lipid profile, phosphorus and calcium were measured using a chemical analyzer (Konelab, Vantaa, Finland). Serum 25-OH-VitD was measured by enzyme linked immunosorbent assays (ELISA) (IDS Ltd, Boldon Colliery, Tyne &amp; Wear, UK) according to manufacturer's instruction. The inter- and intra-assay variabilities for 25-OH D ELISA were 5.3% and 4.6% respectively. All sample measurements were done in BRP, a participating laboratory for DEQAS (Vitamin D External Quality Assessment Scheme) based in UK.</p>
			</sec>
			<sec>
				<st>
					<p>Statistical analysis</p>
				</st><p>Data was analyzed using the Statistical Package for the Social Sciences (SPSS for Windows version 16.5). Data are expressed as mean &#177; standard deviation for normally distributed parameters. Group comparisons were done using analysis of covariance (ANCOVA), adjusted for age and BMI. P-value less than 0.05 was deemed significant.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Results</p>
			</st><p>Comparisons between subjects based on coffee consumption are presented in Table&#8201;<tblr tid="T1">1</tblr>. In both males and females, those consuming the most coffee cups per week were significantly younger with lower BMI, lean and soft body mass as compared to those who were drinking coffee less. In males, LDL- and HDL-cholesterol levels were highest among those consuming coffee 9&#8211;12 times week (p-values 0.022 and 0.0008 respectively) and although the same trend were observed in females, only HDL-cholesterol was significant. Circulating 25-hydroxyvitamin D levels were significantly elevated among girls consuming coffee 9&#8211;12 times per week, even after adjusting for age and BMI.</p>
			<table id="T1">
				<title>
					<p>Table 1</p>
				</title>
				<caption>
					<p>
						<b>Comparison of male and female subjects based on coffee intake</b>
					</p>
				</caption>
				<tgroup align="left" cols="9">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="center" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="char" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="char" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="center" colname="c5" colnum="5" colwidth="1*"/>
					<colspec align="center" colname="c6" colnum="6" colwidth="1*"/>
					<colspec align="char" colname="c7" colnum="7" colwidth="1*"/>
					<colspec align="char" colname="c8" colnum="8" colwidth="1*"/>
					<colspec align="center" colname="c9" colnum="9" colwidth="1*"/>
					<thead valign="top">
						<row>
							<entry colname="c1"/>
							<entry align="center" colname="c2" nameend="c5" namest="c2" rowsep="1">
								<p>
									<b>Males</b>
								</p>
							</entry>
							<entry align="center" colname="c6" nameend="c9" namest="c6" rowsep="1">
								<p>
									<b>Females</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1" morerows="2">
								<p>
									<b>Parameters</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>
									<b>Group 1</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Group 2</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Group 3</b>
								</p>
							</entry>
							<entry colname="c5" morerows="2">
								<p>
									<b>p-value</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>Group 1</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>Group 2</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>Group 3</b>
								</p>
							</entry>
							<entry colname="c9" morerows="2">
								<p>
									<b>p-value</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c2">
								<p>
									<b>0&#8211;4</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>5&#8211;8</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>9&#8211;12</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>0&#8211;4</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>5&#8211;8</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>9&#8211;12</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c2">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>times/week</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>Data represented by Mean &#177; standard deviation;</p><p>&#8216;&#8224;&#8217;Represents Analysis of Co variance (ANCOVA) is done across the coffee drinkers, Adjusted for age and BMI.</p>
					</tfoot>
					<tbody valign="top">
						<row>
							<entry colname="c1">
								<p>N</p>
							</entry>
							<entry align="char" char="." colname="c2">
								<p>60</p>
							</entry>
							<entry align="char" char="." colname="c3">
								<p>16</p>
							</entry>
							<entry align="char" char="." colname="c4">
								<p>75</p>
							</entry>
							<entry colname="c5"/>
							<entry align="char" char="." colname="c6">
								<p>83</p>
							</entry>
							<entry align="char" char="." colname="c7">
								<p>22</p>
							</entry>
							<entry align="char" char="." colname="c8">
								<p>70</p>
							</entry>
							<entry colname="c9"/>
						</row>
						<row>
							<entry colname="c1">
								<p>Age(years)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>13.2&#8201;&#177;&#8201;3.1</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>13.4&#8201;&#177;&#8201;2.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>11.6&#8201;&#177;&#8201;3.4</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.009</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>13.5&#8201;&#177;&#8201;3.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>12.0&#8201;&#177;&#8201;3.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>12.3&#8201;&#177;&#8201;3.3</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.035</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>BMI (kg/m<sup>2</sup>)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>22.6&#8201;&#177;&#8201;8.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>22.9&#8201;&#177;&#8201;6.8</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>19.5&#8201;&#177;&#8201;5.1</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.020</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>23.1&#8201;&#177;&#8201;7.1</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>18.6&#8201;&#177;&#8201;4.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>21.3&#8201;&#177;&#8201;6.4</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.016</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Sun Exposure (%) (Daily/weekly)</p>
							</entry>
							<entry colname="c2">
								<p>60/25</p>
							</entry>
							<entry colname="c3">
								<p>31/50</p>
							</entry>
							<entry colname="c4">
								<p>44/36</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.16</p>
							</entry>
							<entry colname="c6">
								<p>20.7/26.5</p>
							</entry>
							<entry colname="c7">
								<p>22.7/50.0</p>
							</entry>
							<entry colname="c8">
								<p>28.5/50.0</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Physical Activity (%)(moderate/Active)</p>
							</entry>
							<entry colname="c2">
								<p>20/46.6</p>
							</entry>
							<entry colname="c3">
								<p>25/62.5</p>
							</entry>
							<entry colname="c4">
								<p>10.6/64.0</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.14</p>
							</entry>
							<entry colname="c6">
								<p>13.2/65.0</p>
							</entry>
							<entry colname="c7">
								<p>22.7/68.1</p>
							</entry>
							<entry colname="c8">
								<p>15.7/67.1</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.39</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Waist (cm)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>67.4&#8201;&#177;&#8201;30.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>72.3&#8201;&#177;&#8201;14.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>63.7&#8201;&#177;&#8201;15.1</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.343</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>65.5&#8201;&#177;&#8201;23.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>62.4&#8201;&#177;&#8201;10.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>68.2&#8201;&#177;&#8201;12.4</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.413</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Hips (cm)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>78.3&#8201;&#177;&#8201;30.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>89.3&#8201;&#177;&#8201;16.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>77.6&#8201;&#177;&#8201;20.1</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.246</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>82.2&#8201;&#177;&#8201;24.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>79.4&#8201;&#177;&#8201;13.7</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>86.4 &#177;15.4</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.299</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LBM (kg)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>40.8&#8201;&#177;&#8201;15.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>34.2&#8201;&#177;&#8201;10.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>32.1&#8201;&#177;&#8201;12.8</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.010</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>34.1&#8201;&#177;&#8201;9.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>27.4&#8201;&#177;&#8201;8.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>31.3&#8201;&#177;&#8201;8.9</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.015</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>SLM (kg)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>36.2&#8201;&#177;&#8201;14.3</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>31.8&#8201;&#177;&#8201;9.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>28.9&#8201;&#177;&#8201;12.3</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.011</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>32.0&#8201;&#177;&#8201;9.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>25.3&#8201;&#177;&#8201;8.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>28.8&#8201;&#177;&#8201;8.4</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.010</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Glucose (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>5.2&#8201;&#177;&#8201;0.77</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>5.4&#8201;&#177;&#8201;1.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>5.3&#8201;&#177;&#8201;0.60</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.193</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>5.0&#8201;&#177;&#8201;0.85</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>5.0&#8201;&#177;&#8201;0.65</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>5.1&#8201;&#177;&#8201;0.52</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.299</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Triglycerides (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>0.94&#8201;&#177;&#8201;0.05</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.1&#8201;&#177;&#8201;0.08</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>0.80&#8201;&#177;&#8201;0.04</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.111</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>0.94&#8201;&#177;&#8201;0.08</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>0.78&#8201;&#177;&#8201;0.02</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>0.86&#8201;&#177;&#8201;0.03</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.243</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>HDL (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>0.89&#8201;&#177;&#8201;0.35</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.05&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>1.1&#8201;&#177;&#8201;0.26*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.022</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>1.02&#8201;&#177;&#8201;0.31</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>1.1&#8201;&#177;&#8201;0.19</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>1.2&#8201;&#177;&#8201;0.25*</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.034</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LDL(mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.9&#8201;&#177;&#8201;0.68</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.8&#8201;&#177;&#8201;0.58</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.5&#8201;&#177;&#8201;0.57*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.008</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.9&#8201;&#177;&#8201;0.66</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.6&#8201;&#177;&#8201;0.57</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.7&#8201;&#177;&#8201;0.60</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.088</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>T. Cholesterol(mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>4.3&#8201;&#177;&#8201;1.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>4.2&#8201;&#177;&#8201;0.65</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>3.8&#8201;&#177;&#8201;0.62*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.043</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>4.3&#8201;&#177;&#8201;0.65</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>3.9&#8201;&#177;&#8201;0.56</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>4.1&#8201;&#177;&#8201;0.66</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.061</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Serum Ca (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.5&#8201;&#177;&#8201;0.26</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.5&#8201;&#177;&#8201;0.16</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.6&#8201;&#177;&#8201;0.16*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.008</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.4&#8201;&#177;&#8201;0.19</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.6&#8201;&#177;&#8201;0.12</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.5&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.100</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Corrected Ca (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.6&#8201;&#177;&#8201;0.32</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.6&#8201;&#177;&#8201;0.39</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.6&#8201;&#177;&#8201;0.24</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.582</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.4&#8201;&#177;&#8201;0.38</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.5&#8201;&#177;&#8201;0.10</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.5&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.931</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Albumin (gm/L)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>45.5&#8201;&#177;&#8201;4.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>45.8&#8201;&#177;&#8201;4.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>45.1&#8201;&#177;&#8201;3.2</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.891</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>44.8&#8201;&#177;&#8201;3.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>46.5&#8201;&#177;&#8201;2.7</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>44.3&#8201;&#177;&#8201;3.6</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.050</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Serum Phosphorus <sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>1.6&#8201;&#177;&#8201;0.63</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.5&#8201;&#177;&#8201;0.30</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>1.6&#8201;&#177;&#8201;0.38</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.891</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>1.4&#8201;&#177;&#8201;0.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>1.4&#8201;&#177;&#8201;0.24</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>1.3&#8201;&#177;&#8201;0.30</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.481</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Vitamin D (nmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>24.0&#8201;&#177;&#8201;1.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>20.7&#8201;&#177;&#8201;1.3</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>25.4&#8201;&#177;&#8201;1.6</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.212</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>16.7&#8201;&#177;&#8201;1.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>19.4&#8201;&#177;&#8201;1.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>20.5&#8201;&#177;&#8201;1.5*</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.020</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table><p>Comparisons between subjects based on tea consumption are presented in Table&#8201;<tblr tid="T2">2</tblr>. While most of the variables were comparable with one another in both genders, vitamin D levels were observed to be highest among both genders consuming the most tea per week (9&#8211;12 times/week) and these significance was independent from age and BMI. Figure&#8201;<figr fid="F1">1</figr> shows the effect of increased tea intake (1A) in the vitamin D status of subjects independent of age, gender, BMI, sun exposure and physical activity. Subjects who consumed 0&#8211;4 times of tea per week had significantly lower 25(OH)D levels as compared to those consuming 8&#8211;12 times/week. No significant difference in 25(OH)D was found when compared to coffee intake (B).</p>
			<table id="T2">
				<title>
					<p>Table 2</p>
				</title>
				<caption>
					<p>
						<b>Comparison of male and female subjects based on tea intake</b>
					</p>
				</caption>
				<tgroup align="left" cols="9">
					<colspec align="center" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="center" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="char" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="char" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="center" colname="c5" colnum="5" colwidth="1*"/>
					<colspec align="center" colname="c6" colnum="6" colwidth="1*"/>
					<colspec align="char" colname="c7" colnum="7" colwidth="1*"/>
					<colspec align="char" colname="c8" colnum="8" colwidth="1*"/>
					<colspec align="center" colname="c9" colnum="9" colwidth="1*"/>
					<thead valign="top">
						<row>
							<entry align="center" colname="c1" morerows="1"/>
							<entry align="center" colname="c2" nameend="c9" namest="c2" rowsep="1">
								<p>
									<b>Tea Intake</b>
								</p>
							</entry>
						</row>
						<row>
							<entry align="center" colname="c2" nameend="c5" namest="c2" rowsep="1">
								<p>
									<b>Male</b>
								</p>
							</entry>
							<entry align="center" colname="c6" nameend="c9" namest="c6" rowsep="1">
								<p>
									<b>Female</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1" morerows="2">
								<p>
									<b>Parameters</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>
									<b>Group 1</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Group 2</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Group 3</b>
								</p>
							</entry>
							<entry colname="c5" morerows="2">
								<p>
									<b>p-value</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>Group 1</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>Group 2</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>Group 3</b>
								</p>
							</entry>
							<entry colname="c9" morerows="2">
								<p>
									<b>p-value</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c2">
								<p>
									<b>0&#8211;4</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>5&#8211;8</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>9&#8211;12</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>0&#8211;4</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>5&#8211;8</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>9&#8211;12</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c2">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>times/week</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>times/week</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>Data represented by Mean &#177; standard deviation;</p><p>Analysis of Variance (ANOVA) is done across different tea drinkers.</p><p>&#8216;*&#8217; represents group is significantly from the group 1.</p>
					</tfoot>
					<tbody valign="top">
						<row>
							<entry colname="c1">
								<p>N</p>
							</entry>
							<entry align="char" char="." colname="c2">
								<p>96</p>
							</entry>
							<entry align="char" char="." colname="c3">
								<p>23</p>
							</entry>
							<entry align="char" char="." colname="c4">
								<p>36</p>
							</entry>
							<entry colname="c5"/>
							<entry align="char" char="." colname="c6">
								<p>105</p>
							</entry>
							<entry align="char" char="." colname="c7">
								<p>17</p>
							</entry>
							<entry align="char" char="." colname="c8">
								<p>53</p>
							</entry>
							<entry colname="c9"/>
						</row>
						<row>
							<entry colname="c1">
								<p>Age(years)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>12.7&#8201;&#177;&#8201;3.3</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>12.5&#8201;&#177;&#8201;3.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>11.7&#8201;&#177;&#8201;3.5</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.274</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>13.0&#8201;&#177;&#8201;3.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>12.5&#8201;&#177;&#8201;3.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>12.7&#8201;&#177;&#8201;3.2</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.808</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>BMI (kg/m<sup>2</sup>)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>21.1&#8201;&#177;&#8201;6.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>23.7&#8201;&#177;&#8201;8.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>19.9&#8201;&#177;&#8201;6.7</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.177</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>22.1&#8201;&#177;&#8201;6.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>21.2&#8201;&#177;&#8201;3.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>21.5&#8201;&#177;&#8201;8.0</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.763</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Sun Exposure (%) (Daily/weekly)</p>
							</entry>
							<entry colname="c2">
								<p>54/29.1</p>
							</entry>
							<entry colname="c3">
								<p>30.4/30.4</p>
							</entry>
							<entry colname="c4">
								<p>38.8/47.2</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.17</p>
							</entry>
							<entry colname="c6">
								<p>19.0/34.2</p>
							</entry>
							<entry colname="c7">
								<p>23.5/47.0</p>
							</entry>
							<entry colname="c8">
								<p>22.6/41.5</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.06</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Physical Activity (%)(moderate/Active)</p>
							</entry>
							<entry colname="c2">
								<p>21.0/51.0</p>
							</entry>
							<entry colname="c3">
								<p>13.0/60.8</p>
							</entry>
							<entry colname="c4">
								<p>11.0/63.8</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.04</p>
							</entry>
							<entry colname="c6">
								<p>16.1/64.7</p>
							</entry>
							<entry colname="c7">
								<p>17.6/76.4</p>
							</entry>
							<entry colname="c8">
								<p>15.1/67.9</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.91</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Waist (cm)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>65.5&#8201;&#177;&#8201;23.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>69.2&#8201;&#177;&#8201;24.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>65.7&#8201;&#177;&#8201;17.6</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.816</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>64.2&#8201;&#177;&#8201;18.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>67.8&#8201;&#177;&#8201;8.8</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>69.9&#8201;&#177;&#8201;18.4</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.177</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Hips (cm)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>77.4&#8201;&#177;&#8201;25.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>83.8&#8201;&#177;&#8201;25.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>80.7&#8201;&#177;&#8201;22.6</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.555</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>81.0&#8201;&#177;&#8201;22.0</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>86.8&#8201;&#177;&#8201;8.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>87.7&#8201;&#177;&#8201;18.1</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.138</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LBM (kg)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>35.7&#8201;&#177;&#8201;13.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>36.7&#8201;&#177;&#8201;13.8</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>33.5&#8201;&#177;&#8201;14.8</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.672</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>32.4&#8201;&#177;&#8201;9.7</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>32.2&#8201;&#177;&#8201;6.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>31.6&#8201;&#177;&#8201;9.3</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.913</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>SLM (kg)</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>32.5&#8201;&#177;&#8201;12.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>34.2&#8201;&#177;&#8201;13.1</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>29.9&#8201;&#177;&#8201;14.1</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.510</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>30.4&#8201;&#177;&#8201;9.8</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>29.8&#8201;&#177;&#8201;5.8</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>29.1&#8201;&#177;&#8201;8.9</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.738</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Glucose (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>5.2&#8201;&#177;&#8201;0.81</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>5.3&#8201;&#177;&#8201;0.38</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>5.3&#8201;&#177;&#8201;0.69</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.904</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>4.9&#8201;&#177;&#8201;0.78</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>5.0&#8201;&#177;&#8201;0.72</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>5.2&#8201;&#177;&#8201;0.51</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.160</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>TG (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>0.90&#8201;&#177;&#8201;0.05</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.1&#8201;&#177;&#8201;0.07</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>0.78&#8201;&#177;&#8201;0.04</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.062</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>0.87&#8201;&#177;&#8201;0.04</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>0.99&#8201;&#177;&#8201;0.12</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>0.90&#8201;&#177;&#8201;0.04</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.600</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>HDL (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>1.0&#8201;&#177;&#8201;0.34</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.0&#8201;&#177;&#8201;0.22</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>1.01&#8201;&#177;&#8201;0.23</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.959</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>1.0&#8201;&#177;&#8201;0.29</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>1.2&#8201;&#177;&#8201;0.23*</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>1.1&#8201;&#177;&#8201;0.24*</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.003</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LDL(mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.8&#8201;&#177;&#8201;0.61</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.6&#8201;&#177;&#8201;0.63</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.4&#8201;&#177;&#8201;0.65*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.042</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.9&#8201;&#177;&#8201;0.64</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.7&#8201;&#177;&#8201;0.37</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.7&#8201;&#177;&#8201;0.68</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.274</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Total Cholesterol(mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>4.2&#8201;&#177;&#8201;1.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>3.9&#8201;&#177;&#8201;0.67</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>3.8&#8201;&#177;&#8201;0.70</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.111</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>4.2&#8201;&#177;&#8201;0.66</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>4.1&#8201;&#177;&#8201;0.40</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>4.0&#8201;&#177;&#8201;0.71</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.667</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Serum Ca (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.5&#8201;&#177;&#8201;0.24</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.6&#8201;&#177;&#8201;0.21</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.6&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.322</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.5&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.4&#8201;&#177;&#8201;0.18</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.6&#8201;&#177;&#8201;0.23</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.184</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Corrected Ca (mmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>2.6&#8201;&#177;&#8201;0.34</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>2.4&#8201;&#177;&#8201;0.20</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>2.5&#8201;&#177;&#8201;0.23</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.132</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>2.5&#8201;&#177;&#8201;0.33</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>2.5&#8201;&#177;&#8201;0.21</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>2.5&#8201;&#177;&#8201;0.17</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.972</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Albumin (gm/L)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>45.7&#8201;&#177;&#8201;3.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>45.7&#8201;&#177;&#8201;4.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>44.6&#8201;&#177;&#8201;3.2</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.427</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>44.8&#8201;&#177;&#8201;3.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>44.6&#8201;&#177;&#8201;2.7</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>44.6&#8201;&#177;&#8201;2.9</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.936</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Serum Phosphorus <sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>1.6&#8201;&#177;&#8201;0.56</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>1.5&#8201;&#177;&#8201;0.31</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>1.5&#8201;&#177;&#8201;0.25</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.741</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>1.4&#8201;&#177;&#8201;0.9</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>1.3&#8201;&#177;&#8201;0.2</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>1.4&#8201;&#177;&#8201;0.30</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.802</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Vitamin D (nmol/l)<sup>&#8224;</sup>
								</p>
							</entry>
							<entry align="char" char="&#177;" colname="c2">
								<p>22.5&#8201;&#177;&#8201;1.5</p>
							</entry>
							<entry align="char" char="&#177;" colname="c3">
								<p>23.5&#8201;&#177;&#8201;1.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c4">
								<p>30.0&#8201;&#177;&#8201;1.5*</p>
							</entry>
							<entry align="char" char="." colname="c5">
								<p>0.003</p>
							</entry>
							<entry align="char" char="&#177;" colname="c6">
								<p>17.4&#8201;&#177;&#8201;1.6</p>
							</entry>
							<entry align="char" char="&#177;" colname="c7">
								<p>17.2&#8201;&#177;&#8201;1.4</p>
							</entry>
							<entry align="char" char="&#177;" colname="c8">
								<p>21.2&#8201;&#177;&#8201;1.5*</p>
							</entry>
							<entry align="char" char="." colname="c9">
								<p>0.031</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table>
			<fig id="F1"><title><p>Figure 1</p></title><caption><p>Levels of 25(OH)D according to tea (A) and coffee (B) consumption</p></caption><text>
   <p><b>Levels of 25(OH)D according to tea (A) and coffee (B) consumption.</b> Comparisons were adjusted for age, BMI, gender, physical activity and sun exposure. Significance set at <b><it>p</it></b>&#8201;<b>&lt;&#8201;0.05.</b></p>
</text><graphic file="1475-2891-11-56-1"/></fig>
		</sec>
		<sec>
			<st>
				<p>Discussion</p>
			</st><p>To the best of our knowledge, there is no recorded study on the association of caffeine intake with circulating levels of 25-hydroxyvitamin D. Current evidence however relate caffeine intake to calcium metabolism <abbrgrp>
					<abbr bid="B10">10</abbr>
					<abbr bid="B11">11</abbr>
					<abbr bid="B12">12</abbr>
				</abbrgrp>. It has been demonstrated that caffeine negatively influences calcium balance by reducing renal reabsorption of calcium, and possibly by reducing intestinal calcium absorption efficiency. High caffeine intake may involve considerable renal and intestinal calcium losses <abbrgrp>
					<abbr bid="B13">13</abbr>
				</abbrgrp>. Results of previous epidemiological studies have suggested a relationship between high caffeine consumption and low bone mineral density (BMD) and osteoporotic fractures, which however may be offset by a high calcium intake <abbrgrp>
					<abbr bid="B14">14</abbr>
					<abbr bid="B15">15</abbr>
				</abbrgrp>. Caffeine intake also reduces inositol levels in the blood. Inositol is a regulating factor in calcium metabolism <abbrgrp>
					<abbr bid="B13">13</abbr>
				</abbrgrp>, and can modestly increase calcium excretion and reduce absorption (Barrett-Connor et al., 1994). Caffeine intake &gt;300&#8201;mg/d (&#8776;514&#8201;g, or 18&#8201;oz, brewed coffee) accelerate bone loss at the spine in elderly postmenopausal women <abbrgrp>
					<abbr bid="B7">7</abbr>
				</abbrgrp>. Furthermore, women who harbor the TT genetic variant of <it>VDR</it> appear to be at a greater risk for this deleterious effect of caffeine on bone <abbrgrp>
					<abbr bid="B7">7</abbr>
				</abbrgrp>. The polymorphisms in the VDR gene correlate with BMD, bone turnover and bone loss <abbrgrp>
					<abbr bid="B16">16</abbr>
					<abbr bid="B17">17</abbr>
				</abbrgrp>. In our study, serum vitamin D level increases as coffee and tea consumption increases. Increased caffeine dose decreases VDR protein expression and alkaline phosphatase enzyme activity, a marker of osteoblast differentiation in osteoblast cells <abbrgrp>
					<abbr bid="B18">18</abbr>
				</abbrgrp>. Caffeine is also metabolized in the liver via the cytochrome P450 oxidase enzyme system <abbrgrp>
					<abbr bid="B19">19</abbr>
					<abbr bid="B20">20</abbr>
				</abbrgrp>. About a dozen metabolites can be recovered in the urine of regular coffee consumers <abbrgrp>
					<abbr bid="B19">19</abbr>
					<abbr bid="B21">21</abbr>
				</abbrgrp>. Methylxanthine, theophylline and caffeine were found to inhibit the conversion of 25 hydroxyvitamin D3, to 1,25 dihydroxyvitamin D3 in isolated renal tubules in vitamin D deficient chicks, which led to increased vitamin D circulating levels <abbrgrp>
					<abbr bid="B22">22</abbr>
				</abbrgrp>.</p><p>The role of caffeine as a risk factor for bone loss is controversial. Moderate coffee consumption has no effect on bone health <abbrgrp>
					<abbr bid="B13">13</abbr>
				</abbrgrp>. However, low calcium intake is clearly linked to skeletal fragility, and it is likely that a high caffeine intake is often a marker for low calcium intake <abbrgrp>
					<abbr bid="B11">11</abbr>
				</abbrgrp>. The negative effect of caffeine on calcium absorption is small enough to be fully offset by as little as 1&#8211;2 tablespoons of milk. All of these observations implicating caffeine-containing beverages as a risk factor for osteoporosis have been made in populations consuming substantially less than optimal calcium intakes <abbrgrp>
					<abbr bid="B11">11</abbr>
				</abbrgrp>.</p><p>Another factor that may contribute to higher vitamin D in the heavy drinkers is the weight reducing effect of coffee. In our study BMI mean value was significantly decreased in heavy drinkers when compared to low and moderate drinkers (mean of BMI =20&#8201;&#177;&#8201;5.8&#8201;kg/m2, P&#8201;&lt;&#8201;0.05). Both sexes showed a decrease in BMI (appendix). In a study done by Jorde et al. (2001), both gender's serum calcium showed a positive association with body mass index (BMI) and coffee consumption that persisted after correcting for other variables in a multiple regression model (P&#8201;&lt;&#8201;0.05) <abbrgrp>
					<abbr bid="B23">23</abbr>
				</abbrgrp>.</p><p>Coffee intake should reduce BMI because coffee consumption decreases the amount of fat tissue by elevating thermogenesis <abbrgrp>
					<abbr bid="B24">24</abbr>
					<abbr bid="B25">25</abbr>
					<abbr bid="B26">26</abbr>
				</abbrgrp> and stimulating the sympathoadrenal system <abbrgrp>
					<abbr bid="B27">27</abbr>
				</abbrgrp>. Aside from caffeine's ability to increase fat oxidation and lipolysis <abbrgrp>
					<abbr bid="B28">28</abbr>
					<abbr bid="B29">29</abbr>
					<abbr bid="B30">30</abbr>
				</abbrgrp>, there is a weak but significant positive association with BMI for coffee intake in both sexes <abbrgrp>
					<abbr bid="B30">30</abbr>
				</abbrgrp>. Coffee may reduce body weight through lipolysis stimulation <abbrgrp>
					<abbr bid="B27">27</abbr>
				</abbrgrp>. Fat loss from adipose tissue is hypothesized to be accompanied by vitamin D withdrawal from its fat store leading to elevated serum vitamin D levels. Studies on weight reduction show that serum 25(OH)D levels rise when obese individuals lose body fat <abbrgrp>
					<abbr bid="B31">31</abbr>
					<abbr bid="B32">32</abbr>
					<abbr bid="B33">33</abbr>
				</abbrgrp>.</p><p>There is consistent epidemiological evidence that consumption of these hot beverages is associated with a reduced risk of diabetes mellitus type 2 (DMT2) and coronary heart disease <abbrgrp>
					<abbr bid="B34">34</abbr>
					<abbr bid="B35">35</abbr>
					<abbr bid="B36">36</abbr>
				</abbrgrp>. It has been hypothesized that the protective effect of coffee and tea consumption on DMT2 risk is mediated by a reduction in obesity <abbrgrp>
					<abbr bid="B37">37</abbr>
				</abbrgrp>. This hypothesis is supported by a handful of clinical intervention studies which report that the frequency of coffee or tea consumption is related to weight loss and change in body fat distribution <abbrgrp>
					<abbr bid="B37">37</abbr>
					<abbr bid="B38">38</abbr>
				</abbrgrp>.</p><p>The study has limitations. Comprehensive data on outdoor physical activity and diet were lacking, and these can be considered major confounders that affect circulating vitamin D levels. The type of coffee and tea were also not taken into consideration. Nevertheless, the number of subjects involved increases the reliability of our results, which shows for the first time a dose-dependent relationship between circulating vitamin D levels in relation to coffee and tea consumption among Saudi adolescents, even after adjustment for physical activity, sun exposure, gender, age and BMI.</p><p>In summary, the study suggests that increased coffee and tea consumption elevates circulating vitamin D levels among Saudi Arab adolescents independent of physical activity, sun exposure, age, gender and BMI. Further studies are needed to confirm these findings as assessment of the health risks and benefits of coffee and tea consumption requires reliable data that can accurately for studying relationships between coffee and tea consumption and health-related endpoints.</p>
		</sec>
		<sec>
			<st>
				<p>Competing interests</p>
			</st><p>The authors declare that they have no competing interests</p>
		</sec>
		<sec>
			<st>
				<p>Authors&#8217; contributions</p>
			</st><p>AA, SA and NMA conceived and carried out the study. KMA, YA, OSA and MSA participated in the design, subject recruitments and data collection. OM and SY carried out sample analysis. SA, SS, SK and GPC performed statistical analysis and drafted the final version of the manuscript. All authors approved and read the final manuscript.</p>
		</sec>
	</bdy>
	<bm>
		<ack>
			<sec>
				<st>
					<p>Acknowledgments</p>
				</st><p>The authors wish to thank Mr. Benjamin Vinodson for the statistical analyses of the data.</p>
			</sec>
		</ack>
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