<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222012000300001</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Reproducibility and validity of a food frequency questionnaire to estimate calcium intake in Puerto Ricans]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palacios]]></surname>
<given-names><![CDATA[Cristina]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Segarra]]></surname>
<given-names><![CDATA[Adelaida]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Trak]]></surname>
<given-names><![CDATA[María Angélica]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Colón]]></surname>
<given-names><![CDATA[Ixian]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Puerto Rico and Dental School  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<volume>62</volume>
<numero>3</numero>
<fpage>205</fpage>
<lpage>212</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222012000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222012000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222012000300001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The objective of the study was to assess the reproducibility and validity of a short semiquantitative calcium specific FFQ in a convenience Puerto Rican sample.Reproducibility was tested by the difference between calcium intakes from the FFQ completed twice, with a one month difference; validity was assessed against 6-day diet records (DR) in a sample of students, employees and faculty of the Medical Sciences Campus of the University of Puerto Rico. The statistical analyses performed were Pearson correlations, paired t-test, Bland-Altman plots, cross-classification analysis, Willett’s surrogate categories, specificity, sensitivity and predictive value. A total of 93 subjects were included in the study (mean age 28.8±10.1 years, BMI 25.7±6.1 kg/m2). Mean estimated calcium intakes were 846.4±356.9 mg/day for the first FFQ, 801.1±423.7 mg/day for the repeated FFQ and 845.4±377.5 mg/day for 6-day DR. No statistical difference was observed between the means by paired t-test (p>0.05), with significant correlations between means (p<0.05). The FFQ was found to have a specificity of 65.2%, a sensitivity of 73.5%, a positive predictive value of 86.2% and a negative predictive value of 45.5%. In conclusion, the short FFQ is a valid tool that could be used in the future to assess calcium intake in epidemiological surveys in this group.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Reproducibilidad y validez de un cuestionario de frecuencia de consumo de alimentos para estimar la ingesta de calcio en puertorriqueños. El objetivo del presente estudio fue medir la reproducibilidad y validez de un cuestionario semi-cuantitativo de frecuencia de consumo de alimentos (CFC) corto para estimar la ingesta de calcio en una muestra puertorriqueña de conveniencia. La reproducibilidad fue medida por la diferencia entre la ingesta de calcio del CFC completada dos veces, con un mes de diferencia; la validez fue medida usando un registro dietario de 6 días como referencia, en una muestra de estudiantes, empleados y profesores del Recinto de Ciencias Medicas de la Universidad de Puerto Rico. Para el análisis estadístico, se utilizó la correlación Pearson, la prueba T pareada, los gráficos de Bland-Altman, el análisis de clasificación cruzada, las categoríassustitutas de Willett, y los valores de especificidad, sensibilidad y de predicción. Un total de 93 sujetos fueron incluidos en el estudio (edad promedio 28.8±10.1 años, IMC 25.7±6.1 kg/m2). La ingesta promedio estimada de calcio fue de 846.4±356.9 mg/día en el primer CFC, 801.1±423.7 mg/día en la repetición del CFC y 845.4±377.5 mg/día en el registro de 6 días. No hubo diferencias estadísticas entre los promedios con la prueba T pareada (p>0.05) y se obtuvieron correlaciones significativas entre los promedios (p<0.05). El CFC tuvo una especificidad de 65.2%, una sensibilidad de 73.5%, un valor de predicción positivo de 86.2% y un valor de predicción negativo de 45.5%. Enconclusión, el CFC es una herramienta válida que puede ser usada en el futuro para estimar el consumo de calcio en estudios epidemiológicos en este grupo.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Calcium]]></kwd>
<kwd lng="en"><![CDATA[food frequency questionnaire]]></kwd>
<kwd lng="en"><![CDATA[diet record]]></kwd>
<kwd lng="en"><![CDATA[validation]]></kwd>
<kwd lng="es"><![CDATA[Calcio]]></kwd>
<kwd lng="es"><![CDATA[cuestionario de frecuencia de consumo de alimentos]]></kwd>
<kwd lng="es"><![CDATA[registro dietario]]></kwd>
<kwd lng="es"><![CDATA[validación]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><b><font face="Verdana">Reproducibility and validity of a food  frequency questionnaire to estimate calcium intake in Puerto Ricans</font></b></p>     <p align="center"><b><font face="Verdana" size="2">Cristina Palacios, Adelaida  Segarra, María Angélica Trak, Ixian Colón.</font></b></p>     <p align="justify"><font face="Verdana" size="2">Nutrition Program, Graduate  School of Public Health, Medical Sciences Campus, University of Puerto Rico and  Dental School,Medical Sciences Campus, University of Puerto Rico.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>SUMMARY</b>.</font></p>     <p align="justify"><font face="Verdana" size="2">The objective of the study was  to assess the reproducibility and validity of a short semiquantitative calcium  specific FFQ in a convenience Puerto Rican sample.Reproducibility was tested by  the difference between calcium intakes from the FFQ completed twice, with a one  month difference; validity was assessed against 6-day diet records (DR) in a  sample of students, employees and faculty of the Medical Sciences Campus of the  University of Puerto Rico. The statistical analyses performed were Pearson  correlations, paired t-test, Bland-Altman plots, cross-classification analysis,  Willett’s surrogate categories, specificity, sensitivity and predictive value. A  total of 93 subjects were included in the study (mean age 28.8±10.1 years, BMI  25.7±6.1 kg/m2). Mean estimated calcium intakes were 846.4±356.9 mg/day for the  first FFQ, 801.1±423.7 mg/day for the repeated FFQ and 845.4±377.5 mg/day for 6-day  DR. No statistical difference was observed between the means by paired t-test  (p&gt;0.05), with significant correlations between means (p&lt;0.05). The FFQ was  found to have a specificity of 65.2%, a sensitivity of 73.5%, a positive  predictive value of 86.2% and a negative predictive value of 45.5%. In  conclusion, the short FFQ is a valid tool that could be used in the future to  assess calcium intake in epidemiological surveys in this group.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Key words</b>: Calcium, food  frequency questionnaire, diet record, validation</font></p>     <p align="justify"><font face="Verdana" size="2"><b>RESUMEN</b>.</font></p>     <p align="justify"><font face="Verdana" size="2">Reproducibilidad y validez de  un cuestionario de frecuencia de consumo de alimentos para estimar la ingesta de  calcio en puertorriqueños. El objetivo del presente estudio fue medir la  reproducibilidad y validez de un cuestionario semi-cuantitativo de frecuencia de  consumo de alimentos (CFC) corto para estimar la ingesta de calcio en una  muestra puertorriqueña de conveniencia. La reproducibilidad fue medida por la  diferencia entre la ingesta de calcio del CFC completada dos veces, con un mes  de diferencia; la validez fue medida usando un registro dietario de 6 días como  referencia, en una muestra de estudiantes, empleados y profesores del Recinto de  Ciencias Medicas de la Universidad de Puerto Rico. Para el análisis estadístico,  se utilizó la correlación Pearson, la prueba T pareada, los gráficos de Bland-Altman,  el análisis de clasificación cruzada, las categoríassustitutas de Willett, y los  valores de especificidad, sensibilidad y de predicción. Un total de 93 sujetos  fueron incluidos en el estudio (edad promedio 28.8±10.1 años, IMC 25.7±6.1 kg/m2).  La ingesta promedio estimada de calcio fue de 846.4±356.9 mg/día en el primer  CFC, 801.1±423.7 mg/día en la repetición del CFC y 845.4±377.5 mg/día en el  registro de 6 días. No hubo diferencias estadísticas entre los promedios con la  prueba T pareada (p&gt;0.05) y se obtuvieron correlaciones significativas entre los  promedios (p&lt;0.05). El CFC tuvo una especificidad de 65.2%, una sensibilidad de  73.5%, un valor de predicción positivo de 86.2% y un valor de predicción  negativo de 45.5%. Enconclusión, el CFC es una herramienta válida que puede ser  usada en el futuro para estimar el consumo de calcio en estudios epidemiológicos  en este grupo.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Palabras clave</b>: Calcio,  cuestionario de frecuencia de consumo de alimentos, registro dietario,  validación</font></p>     <p align="justify"><font face="Verdana" size="2">Recibido: 29-08-2012 Aceptado:  11-10-2012</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">INTRODUCTION</font></b></p>     <p align="justify"><font face="Verdana" size="2">Dietary intake assessment is a  critical component when determining the effect of nutritional factors on several  health issues, specifically on chronic diseases. Such assessment requires tools  for estimating long-term nutrient intakes, as chronic diseases evolve during  many years. In particular, lack of calcium intake has been positively related to  osteoporosis, as well as to hypertension, cancer, obesity and kidney stones (1).  In addition, it has been recently suggested that a low calcium intake (&lt;660 mg/d)  is a marker of poor overall diet quality in women (2). The ability to accurately  assess current, as well as retrospective and longitudinal calcium intake at the  population level, is essential for establishing the potential role of calcium in  preventing and treating chronic diseases.</font></p>     <p align="justify"><font face="Verdana" size="2">With respect to osteoporosis,  lifelong adequate calcium intake has been proposed as crucial (3). Adequate  calcium intake is referred to the levels of consumption necessary for maximizing  peak bone mass during childhood and adolescence, maintaining bone mass during  the adult years, and preventing bone loss in later in life (4). Since calcium is  the nutrient to be most likely deficient in the diet (5), an easy, rapid and  valid method for estimating calcium intake is needed.</font></p>     <p align="justify"><font face="Verdana" size="2">The Food Frequency  Questionnaire (FFQ) consists of a list of foods and the frequency in which these  foods are consumed in a specific time frame (6). It has emerged as a tool that  precisely allows the assessment of long-term nutrient intake in large number of  individuals. The FFQ is usually short, easy to complete and relatively  inexpensive compared to other methods, such as 24-h dietary records, dietary  history, weighed-food records and food diaries. These methods may also under-represent  usual intake and are inappropriate for the assessment of past diet (7), which in  the case of calcium is important because current calcium intake is not a good  estimator of past intake (8). FFQs have also been largely used in population  studies because they are more accurate for estimating a limited number of  nutrients rather than the total diet (9) and it can be develop to specifically  focus on one nutrient. However, before using this tool, a FFQ must be created  and validated for the population under investigation, usually against dietary  records or weighed records as the independent standard (7).</font></p>     <p align="justify"><font face="Verdana" size="2">There are several validated FFQ  to estimate calcium intake in different populations, such as in different groups  within the United States (US) (10-13) and in other countries (14-17). However,  these FFQ may not be valid to estimate calcium intake in other populations, such  as in Puerto Ricans. Because this method depends on a predetermined list of food  items, it may be appropriately used only with the population for which it was  developed or subsequently validated. At present, there is no validated calcium  specific FFQ designed for the Puerto Rican population. Tucker and colleagues  (18) have shown several differences in the dietary patterns of Puerto Rican  adults compared to the general US population, which precludes the use of the  validated calcium specific FFQs developed in the US for this group. Therefore,  the present study assessed the validity and reproducibility of a short semi-quantitative  calcium specific FFQ in a convenience Puerto Rican sample.</font></p>     <p align="justify"><b><font face="Verdana" size="2">MATERIALS AND METHODS</font></b></p>     <p align="justify"><b><font face="Verdana" size="2">Subjects</font></b></p>     <p align="justify"><font face="Verdana" size="2">Participants included a  convenience sample of students, employees and faculty of the Medical Sciences  Campus of the University of Puerto Rico. Potential participants replied to study  announcements posted on campus and sent by email. Inclusion criteria were 21  years of age or older and being a student, employee or faculty at this academic  institution. Exclusion criteria, assessed with a screening form,were: declining  to provide consent, inability to make the visits or complete a food record;  major diet changes or major changes in weight over the past months, mental  health conditions and health conditions that affect food selection. We aimed for  a convenience sample (non-randomly selected) size of 100 individuals. The sample  size was selected based on similar studies (17, 19). The power calculation  resulted in 90% power to detect statistical significance between the FFQ and the  dietary records with this sample size, which then was increased by 10% to allow  for drop-outs.</font></p>     <p align="justify"><font face="Verdana" size="2">The study was approved by  University of Puerto Rico-Medical Sciences Campus use of Human Subjects Research  Committee; all subjects signed a consent form before enrolling.</font></p>     <p align="justify"><b><font face="Verdana" size="2">Design</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">Participation in this study  consisted of three visits; during the first visit participants read and signed  the consent form, completed a socio-demographic questionnaire, underwent  anthropometric measurements and completed the FFQ. The second visit was  performed 30 days later; in this visit participants repeated the FFQ and  received detail instructions on how to complete the 6-day diet records (DR) at  home. The last visit was a week later, in which participants handed in their  completed diet records. Diet records were carefully reviewed for completeness  and precision of the information. Half of the participants finalized the study  during the January-Mayacademic semester and the other half during the August-December  academic semester. All subjects completed a socio-demographic questionnaire at  the first visit, which included: age (in years), gender and level of education (years  of education).</font></p>     <p align="justify"><b><font face="Verdana" size="2">Anthropometric measurements</font></b></p>     <p align="justify"><font face="Verdana" size="2">Height of participants was  obtained using a portable stadiometer (Chorder HM200P Portstandstadiometer,  Taiwan) and recorded in centimeters (cm). Weight (kg) and percent body fat were  obtained using a bio-electrical impedance scale (BF-350 TANITA Body Composition  Analyzer, Illinois, US), while wearing light clothes and no shoes. Participants  were asked to avoid the following: alcohol use 48 hours before the test, intense  exercise 12 hours before the test, eating or drinking (especially caffeinated  products) 2 hours before the test and, when possible, to avoid the use of  diuretics for 7 days before the test. Participants were also asked to empty  their bladder 30 minutes before the test. BMI was calculated as weight in  kilograms divided by the square of height in metres (kg/m2), and the following  categories were used: underweight (&lt;18.5 kg/m2), normal weight (18.5–24.9 kg/m2),  overweight (25.0–29.9 kg/m2), and obese (&#8805;30.0 kg/m2)(20). Subjects were  classified by % body fat as high risk (&gt;39% if 20-39 y, &gt;40% if 40-59 y and &gt;42%  if 60-79 in women; and &gt;25% if 20-39 y, &gt;27% if 40-59 y and &gt;30% if 60-79 y in  men) or low risk (if below these percentages) (21).</font></p>     <p align="justify"><font face="Verdana" size="2">Semi-quantitative FFQ for  estimating calcium intake</font></p>     <p align="justify"><font face="Verdana" size="2">We developed a semi-quantitative  FFQ for estimating calcium intake on the basis of past research(22). Foods were  selected based on examination of 3 24-h dietary records completed by Puerto  Rican subjects from a previous study; from these, we identified the most  commonly consumed foods that are important sources of calcium (22). We also  included other typical Puerto Rican foods rich in calcium. The FFQ was composed  of 22 items and was divided into 3 sections. The first section asked the  frequency of milk, hard cheese, soft cheese, yogurt, calcium-rich vegetables,  fortified juice, grains and ready to eat breakfast cereals. In addition, each  category provided an open-ended question regarding the type or brand of such  products consumed. The second part provided a list of 16 food preparations rich  in calcium commonly consumed by Puerto Ricans, such as pizza, pasta dishes with  cheese, oatmeal, cheeseburger, Mexican dishes with cheese and dairy based  desserts. The third part asked the frequency of the use of vitamin and mineral  supplements, herbs, tea and other supplemental foods, providing open-ended  questions regarding the brand and amount of the supplements consumed. Each food  item included a fixed commonly used portion size in Puerto Ricans (22). The  frequency of each item was assessed for the past month, and included 8 frequency  responses: daily (1 to 3 or more times), weekly (2 to 6 times), monthly (1-  3times) or never, based on the indicated standard portion. The FFQ was interview-administered  with the help of 3-D Life-Form Food Models replicas (Nasco, CA) for estimating  portion sizes of the items included in the FFQ. The calcium content for each  item was derived using the USDA National Nutrient Database for Standard  Reference (23). If there were several versions of the same item, an average for  the calcium content was calculated.</font></p>     <p align="justify"><font face="Verdana" size="2">We assessed the validity of the  instrument in a pilot sample of 18 obese Puerto Rican adults that participated  in a clinical study at the Medical Sciences Campus of the University of Puerto  Rico (results not published). Preliminary results showed that average calcium  intake for the food records was 545±179 mg/d and from the FFQ was 458±233 mg/d,  with a Pearson correlation of 0.52 (p=0.029). Based on those results, the FFQ  was further improved.</font></p>     <p align="justify"><b><font face="Verdana" size="2">Diet records</font></b></p>     <p align="justify"><font face="Verdana" size="2">A 6-day diet records was chosen  based on the average days needed to assess calcium intake in adults (24) and  therefore included weekday and weekend days. The diet records were divided in  breakfast, morning snack, lunch, afternoon snack, dinner, night snack, with the  times of consumption for each meal. In addition, the following columns were  included: place of consumption, foods and beverages, quantity and preparation.  Participants received detailed instructions on how to report the amounts of food  and beverages consumed during the day. We also instructed the participants to  record brands, quantity, cooking methods, ingredients used, any seasoning, gravy,  dressing, sauces, butter and sugar added in the preparation of the foods  consumed, with their respective amounts consumed. Lastly, we instructed  participants on how to record foods eaten at restaurants. Participants received  written instructions, a sample of a completed diet record, a ruler and the 6-day  diet record forms to take home. The participants also received a portion size  booklet with black and white drawings of actual serving portions, including  images of spoons, bowls and cups and serving sizes of commonly eaten foods.  These models aided participants to avoid over or underestimation of the portion  sizes.</font></p>     <p align="justify"><b><font face="Verdana" size="2">Statistical Methods</font></b></p>     <p align="justify"><font face="Verdana" size="2">The normality of the data was  assessed by the Shapiro- Wilk test (25). Calcium intake was not normally  distributed; therefore, square root transformations were performed. Descriptive  statistics included means, standard deviations and percentages. Calcium intake  from both methods was compared between students, faculty and employees by  Analysis of Variance. Reproducibility was assessed comparing mean dietary  calcium intake using the paired t-test and by Pearson correlation between the  first and second administration of the FFQ. These tests were done overall and by  semester (January- May and August-December). Several analyses were performed for  validating the FFQ. Comparison of the daily mean calcium intake from the FFQ and  from the 6-day diet records were done by means of Pearson’s correlation, paired  t-test, Bland and Altman test, crossclassification and analysis of surrogate  categories. The Bland and Altman test was used to assess agreement between the  two methods (26). Cross-classification analysis assessed the percent of  agreement and the ability of the FFQ to reliably and accurately classify  subjects into similar quartiles of calcium intake based on the results from the  FFQ and the 6-day diet records. To evaluate the discriminative power of the FFQ,  actual values for surrogate categories were calculated as proposed by Willett  (7). The values of specificity, sensitivity, positive and negative predictive  values were calculated using the current Dietary Reference Intake (DRI) for this  age group as the cut-off point (1000 mg/d of calcium) (27). Sample size  calculations were performed by Epi Info (version 7.0.5, 2009, Centers for  Disease Control Prevention, Druid Hills, GA). The statistical analyses were done  using the Statistical Package for the Social Sciences (version 17.0, 2008,  International Business Machines, NY).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">RESULTS</font></b></p>     <p align="justify"><font face="Verdana" size="2">Subjects’ characteristics are  presented in <a href="#tab1">Table 1</a>. A total of 108 subjects were initially recruited to  participate in the study; 15 participants did not complete the 6-day diet  records or the FFQ and were excluded from the analyses. Therefore, 93  participants completed all aspects of the study. Most subjects were females  (69%), young adults and all participants had a bachelor degree. Mean BMI  corresponded to the overweight classification (25-29.9 kg/m<sup>2</sup>) and mean body fat  percentage corresponded to the high risk for being overweight classification in  both females (26.6%) and males (20.7%). Most were students (84%) and only a  small proportion was faculty (3%) or employees (13%). No significant differences  were observed in calcium intake from any of the methods between students,  faculty and employees.</font></p>     <p align="center"><a name="tab1"> <img border="0" src="/img/fbpe/alan/v62n3/art01tab1.gif" width="284" height="209"></a></p>     
<p align="justify"><font face="Verdana" size="2">Results for the reproducibility  analyses are shown in <a href="#fig1">Figure 1</a>. There was no statistical difference between  overall mean calcium intake calculated from the FFQs (first FFQ 846.4±356.9 mg/day  and repeated FFQ 801.1±423.7 mg/day; p=0.17). The overall Pearson correlation  coefficient was moderately high (0.70, p&lt;0.001). When analyzed by semester, the  FFQ also showed good reproducibility during the January-May semester (first FFQ  843.0±449.0 mg/day and repeated FFQ 834.0±466.0 mg/day; t-test p-value=0.82;  r=0.84, p&lt;0.001) and August-December semester (first FFQ 848.5±356.9 mg/day and  repeated FFQ 775.1±389.9 mg/day; t-test p-value=0.16; r=0.54, p&lt;0.001).</font></p>     <p align="center"><a name="fig1"> <img border="0" src="/img/fbpe/alan/v62n3/art01fig1.gif" width="492" height="408"></a></p>     
<p align="justify"><font face="Verdana" size="2">To validate the FFQ, mean  calcium intake from the first FFQ was compared to the mean calcium intake from  the 6-day DR (<a href="#fig2">Figure 2</a>). There was no statistical difference in the mean calcium  intake between the first FFQ and the 6-day DR (845.4±377.5 mg/day; p=0.98).</font></p>     <p align="center"><a name="fig2"> <img border="0" src="/img/fbpe/alan/v62n3/art01fig2.gif" width="459" height="397"></a></p>     
<p align="justify"><font face="Verdana" size="2">To analyze how well both  methods agreed, the correlation coefficient between mean calcium intakes from  both methods were calculated (<a href="#fig3">Figure 3</a>). There was a significant correlation  between mean calcium intake from both methods overall (r=0.51, p&lt;0.001), in the  January-Maysemester (r=0.53, p&#8804;0.01) and in the August-Decembersemester (r=0.52,  p&#8804;0.01). Overall, the mean difference between calcium intake from the FFQ and  the diet records was 0.9 mg/d. Therefore, the two methods agree. However, when  considering if the methods agree for an individual, the differences between the  6-day DR and the FFQ were plotted against the average of the two methods (Bland-Altman  plot; <a href="#fig4">Figure 4</a>). The FFQ could provide estimates of calcium intake in a range of  -754 to 756 mg/day, which is unacceptable to estimate an individual’s calcium  intake because the range is too broad.</font></p>     <p align="center"><a name="fig3"> <img border="0" src="/img/fbpe/alan/v62n3/art01fig3.gif" width="469" height="422"></a></p>     
<p align="center"><a name="fig4"> <img border="0" src="/img/fbpe/alan/v62n3/art01fig4.gif" width="472" height="503"></a></p>     
]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">Comparisons of quartiles of  daily calcium intake by each method were used to assess the degree of  misclassification (<a href="#tab2">Table 2</a>). Most participants (84%) were correctly classified  into the same or adjacent quartile by both calcium assessment methods, while 16%  were grossly misclassified (lowest quartile for one method and highest quartile  for the other). Actual values of surrogate categories of FFQ quartiles are shown  in <a href="#tab3">Table 3</a>. The result show an increase in mean calcium intake with increases in  quartiles, with significant differences among quartiles (p&lt;0.001). However, post  hoc analysis showed that mean calcium intakes between the first (calcium intake  &lt;460 mg/d) and second (calcium intake 460-654 mg/d) quartileswere not  significantly different among them. Also, no differences were observed between  second (calcium intake 460-654 mg/d), third (calcium intake 655-892 mg/d) and  fourth quartiles (calcium intake 893-1383 mg/d). This suggests that the FFQ has  a good discriminative power at the lowest and highest quartiles, in other words,  between the lowest and highest calcium intakes, but not between the calcium  intakes within the middle quartiles.</font></p>     <p align="center"><a name="tab2"> <img border="0" src="/img/fbpe/alan/v62n3/art01tab2.gif" width="504" height="295"></a></p>     
<p align="center"><a name="tab3"> <img border="0" src="/img/fbpe/alan/v62n3/art01tab3.gif" width="373" height="253"></a></p>     
<p align="justify"><font face="Verdana" size="2">The FFQ correctly classified  participants with a calcium intake less than the cut-off point (1,000 mg/day)  with a specificity of 65.2%, a sensitivity of 73.5%, a positive predictive value  of 86.2% and a negative predictive value of 45.4%.</font></p>     <p align="justify"><b><font face="Verdana" size="2">DISCUSSION</font></b></p>     <p align="justify"><font face="Verdana" size="2">Several calcium-specific FFQs  have been developed and validated to be used in children and in adults in the US  (10-13). However, due to differences in Puerto Rican’s dietary patterns compared  to the general US population, we designed a questionnaire culturally sensitive  with respect to food intake patterns of this population. Some of these  differences include the consumption of larger portions of certain fruits and  fruit juices, rice, beans, beef, pork, chicken, bread, and sweet baked goods but  smaller portions of some vegetables, coffee, and milk in Puerto Ricans (18).</font></p>     <p align="justify"><font face="Verdana" size="2">Comparisons among studies can  be difficult due to differences in sample size, age, sex, racial composition,  educational background, design of the FFQ (for example the number of food items,  the amount of open and closed questions and the length of reference period of  the recall) and the method used as the gold standard (12). Nonetheless, results  of our study can be comparable with a few studies. </font></p>     <p align="justify"><font face="Verdana" size="2">Our study showed that there was  no statistically significant difference in the overall daily mean calcium intake  obtained from the 6-day diet records and the FFQ (p&gt;0.05). An overall modest  correlation coefficient was obtained between methods (r=0.51; p&lt;0.001).  Therefore, both methods apparently agreed since correlation coefficients  obtained in our study are similar to the typical ranges in the coefficients (0.5  to 0.7) found in other validation studies (7). This range is usually affected by  the sample size and certain design features and instructions associated with the  instrument (6). Our study showed that there was no statistically significant  difference in the overall daily mean calcium intake obtained from the 6-day diet  records and the FFQ (p&gt;0.05) or when analyzed by semester (p&gt;0.05). Another  study also found little variation in calcium intake due to season (10).</font></p>     <p align="justify"><font face="Verdana" size="2">Although no difference was  observed in our study between the two methods (0.9 mg/day), the Bland-Altman  plot showed that the FFQ could provide estimates of intake in a range of 1,510  mg/day, which is not considered acceptable for quantitative assessment of  individuals’ actual nutrient intake (16). This is not of our concern since FFQs  are not an appropriate method to assess individuals’ actual calcium intake (28),  nor this was the purpose of this FFQ. Although the FFQ developed is not valid  for assessing an individual’s calcium intake, it is useful in ranking  individuals into categories of intake correctly in the clinical setting. This  was evidenced by the good agreement between methods in the cross-classification  analysis according to quartiles of intake, with only a low proportion of  subjects grossly misclassified (16%). This is comparable to the results in  another study (15), in which their calcium-specific FFQ correctly classified  82.1% of the participants into the same or adjacent quartiles.</font></p>     <p align="justify"><font face="Verdana" size="2">The FFQ could identify subjects  with actual daily calcium intakes less than 1000 mg/d with a 73.5% sensitivity,  which means that 73.5% who really had low calcium intake were correctly  classified by the FFQ.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">With respect to specificity,  65.2% who really had high calcium intake were correctly classified by the FFQ.  The predictive value of our FFQ was high, since 86.2% of the subjects were  identified as having an intake below 1000 mg/d from the FFQ whom also had actual  intakes below this level. These results are similar to others studies (29, 30).  However, when using the surrogate categories, the FFQ had good discriminative  power in identifying subjects at high intakes but it cannot differentiate  between the first 2 quartiles and the middle quartiles, which is comparable to  other studies (16,17), but less efficient compared to other FFQs for the  estimation of calcium intake (29).</font></p>     <p align="justify"><font face="Verdana" size="2">Finally, the FFQ developed in  this study had good reproducibility when tested 1 month apart. The correlation  coefficient showed good overall agreement (0.70, p&lt;0.001). Our results are in  accordance to other reproducibility studies, in which coefficient correlations  ranged from 0.75 to 0.93 when validating calcium specific FFQs (14,15).</font></p>     <p align="justify"><font face="Verdana" size="2">There are some limitations to  be considered in the present study. We used a convenience sample of healthy  adults in the present study, which was not randomly selected. Most were women  and there could be a biased towards a higher educated group, which may not be  representative of the Puerto Rican population. The dietary record is considered  the gold standard for dietary assessment, but it may have presented a burden to  the participants, since it included 6 days of intake. These records required  many details and discipline to accurately complete them. Although participants  were given booklets with portion sizes of different foods and were taught how to  record these, some misreporting of portions may have occurred. Recall bias was  another source of error when completing the FFQ but this error was minimized by  reviewing the FFQ after completion with the participant. Some participants had  trouble estimating the amount of food or the frequency of intake of some items  based on the portion size that was presented to them. Two trained interviewers  where available to help the participants. This method guaranteed wholesomeness  of the data collected since the investigators were available to answer any  question the participants could have in regards to portion sizes, such as the  nature of foods or the type of food. This study has also several strengths. The  FFQ was validated against a 6-day dietary record, rather than a one time 24-hours  diet recall. As mentioned before, several days of diet records are more accurate  in providing information on usual intake in comparison with the 24-hours diet  recall. Therefore, better calcium estimates were calculated for validation  purposes. We collected the data during two different time points, which allowed  for seasonal dietary changes to occur and to be recorded in the study. Our  results showed good reproducibility and validity during both time points.</font></p>     <p align="justify"><font face="Verdana" size="2">In conclusion, this short  calcium-specific semiquantitative FFQ is a valid and reproducible method that  offers dietary calcium estimates for the studied sample. It could be used in the  assessment of calcium intake in other similar groups.</font></p>     <p align="justify"><b><font face="Verdana" size="2">ACKNOWLEDGEMENTS</font></b></p>     <p align="justify"><font face="Verdana" size="2">This project was supported in  part by grants from the National Center for Research Resources (2G12- RR003051)  and the National Institute on Minority Health and Health Disparities  (8G12-MD007600) from the National Institutes of Health.</font></p>     <p align="justify"><b><font face="Verdana" size="2">REFERENCES</font></b></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">1. Heaney RP. Calcium intake  and disease prevention. 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