Beverage intake assessment questionnaire: relative validity and repeatability in a spanish population with metabolic syndrome from the PREDIMED-PLUS study

nutrients Article Beverage Intake Assessment Questionnaire: Relative Validity and Repeatability in a Spanish Population with Metabolic Syndrome from the PREDIMED-PLUS Study Cíntia Ferreira-Pêgo 1,2, Mariela Nissensohn 2,3, Stavros A. Kavouras 4, Nancy Babio 1,2, Lluís Serra-Majem 2,3, Adys Martín Águila 5, Andy Mauromoustakos 6, Jacqueline Álvarez Pérez 2,3 and Jordi Salas-Salvadó 1,2,* 1 Human Nutrition Unit, Biochemistry Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, IISPV (Institut d’Investigació Sanitària Pere Virgili); Hospital Universitari de Sant Joan de Reus, C/Sant Llorenç, 21, Reus 43201, Spain; [email protected] (C.F.-P.); [email protected] (N.B.) 2CIBEROBN (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, Madrid 28029, Spain; [email protected] (M.N.); [email protected] (L.S.-M.); [email protected] (J.Á.P.) 3Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe “Físico” (s/n), Las Palmas de Gran Canaria 35016, Spain 4Hydration Science Lab, 155 Stadium dr-HPER 308Q, University of Arkansas, Fayetteville, AR 72701, USA; [email protected] 5Clinical Analysis Unit, University Hospital of Gran Canaria Dr. Negrin, Barranco de la Ballena, s/n, Las Palmas de Gran Canaria 35010, Spain; [email protected] 6Agricultural Statistics Lab, 101 Agricultural Annex Building, University of Arkansas, Fayetteville, AR 72701, USA; [email protected] *Correspondence: [email protected]; Tel.: +34-977-759312; Fax: +34-977-759322 Received: 9 June 2016; Accepted: 27 July 2016; Published: 30 July 2016 Abstract: We assess the repeatability and relative validity of a Spanish beverage intake questionnaire for assessing water intake from beverages. The present analysis was performed within the framework of the PREDIMED-PLUS trial. The study participants were adults (aged 55–75) with a BMI ě 27 and <40 kg/m 2 , and at least three components of Metabolic Syndrome (MetS). A trained dietitian completed the questionnaire. Participants provided 24-h urine samples, and the volume and urine osmolality were recorded. The repeatability of the baseline measurement at 6 and 1 year was examined by paired Student’s t-test comparisons. A total of 160 participants were included in the analysis. The Bland–Altman analysis showed relatively good agreement between total daily fluid intake assessed using the fluid-specific questionnaire, and urine osmolality and 24-h volume with parameter estimates of ´ 0.65 and 0.22, respectively (R 2 = 0.20; p< 0.001). In the repeatability test, no significant differences were found between neither type of beverage nor total daily fluid intake at 6 months and 1-year assessment, compared to baseline. The proposed fluid-specific assessment questionnaire designed to assess the consumption of water and other beverages in Spanish adult individuals was found to be relatively valid with good repeatability. Keywords: relative validity; repeatability; fluid questionnaire; beverage; PREDIMED-PLUS study; Spain Nutrients 2016,8, 475; doi:10.3390/nu8080475 www.mdpi.com/journal/nutrients Nutrients 2016,8, 475 2 of 13 1. Introduction Nowadays, estimating the total fluid intake and real beverage pattern of a population may be considered as a real challenge in nutritional epidemiology. The associations between hydration, water, or beverage intake with health or disease has recently become an important area of research [ 1 , 2 ]. Several authors have assessed the relationship between the consumption of beverages and specific outcomes: for example, the intake of sugar-sweetened beverages (SSBs) and metabolic syndrome (MetS) or type 2 diabetes (T2DM) [ 3 ], hypertension [ 4 – 6 ] and other cardiometabolic variables [ 7 ]; or the intake of drinking water and its relationship to cardiovascular diseases (CVD) [ 8 ]. However, t he results in some cases are controversial [ 9 – 11 ] and it is probably partially attributable to the difficulties in assessing the real fluid pattern [ 12 ]. Water is an essential nutrient for life [ 13 ] and the research on its contribution to human health is very important, so it is essential that the technique used to assess the consumption of different types of beverage is sufficiently sensitive. To evaluate total fluid intake (all drinking water and beverages), it is common to use food frequency questionnaires (FFQ) or 24-h recall [ 14 , 15 ]. However, these questionnaires were mainly designed to evaluate food intake, and not fluid consumption as a whole. In addition, most food records or dietary recalls do not evaluate the consumption of drinking water because they do not provide calories. The assessment of beverage intake in recent years has mostly focused on SSBs and alcoholic drinks [ 16 , 17 ]. For this reason, and also because fluids are often consumed between meals and are not perceived as a food, fluid intake tends to be underestimated by the individual and the interviewer [3,18–20]. In 2010, Hedrick and coworkers published a questionnaire designed to assess the consumption of different types of beverage in the American population [ 21 ]. However, to the best of our knowledge, there is no standardized and validated questionnaire in Spanish that has been developed as a research tool for the specific assessment of beverage intake. For this reason, the main aim of the present study was to assess the repeatability and the relative validity of a new fluid-specific questionnaire designed to measure the habitual consumption of drinking water and different types of beverages in a Spanish population. 2. Material and Methods 2.1. Subjects and Design The present analysis was performed within the framework of the PREDIMED-PLUS trial, the design of which has been described elsewhere [ 22 ]. Briefly, the PREDIMED-PLUS is a large, multicenter, parallel group, randomized and controlled clinical trial designed for evaluating the safety and effectiveness of a multifaceted intervention program for alleviating excessive cardiovascular morbidity and mortality in overweight and obese individuals. The primary endpoint of the PREDIMED-PLUS trial is to determine the effect on CVD morbidity and mortality of an intensive weight loss intervention program based on an energy-restricted traditional Mediterranean diet (MedDiet), increased physical activity and behavioral therapy in comparison with an intervention based on traditional Mediterranean diet advice (energy-unrestricted MedDiet) and traditional health care for CVD prevention. All participants provided written informed consent, and the PREDIMED-PLUS protocol and procedures were approved by the Institutional Review Board Comité de Ética de Investigación Clínica del Hospital Universitario de Gran Canaria Dr. Negrín (code 130093, 30 January 2014) and Comité Ètic d’Investigació Clínica del Hospital S. Joan de Reus (code 13-07-25/7proj2, 25 July 2013). The trial is registered at clinicaltrials.gov; identifier: ISRCTN89898870. The study participants were adult men aged 55–75 and women aged 60–75 with a body mass index (BMI) ě 27 and <40 kg/m 2 and who met at least three of the following criteria for the MetS: abdominal obesity for European individuals (waist circumferences ě 88 cm in women and ě 102 cm in men), hypertriglyceridemia ( ě 150 g/dL) or drug treatment for high plasma triglyceride (TG) concentration, Nutrients 2016,8, 475 3 of 13 low high-density lipoprotein (HDL)-cholesterol (<50 mg/dL in women and <40 mg/dL in men), high blood pressure (systolic blood pressure ě 130 mmHg or diastolic blood pressure ě 85 mmHg) or antihypertensive drug treatment, or high fasting glucose ( ě 100 mg/dL) or drug treatment for T2DM. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation and the American Heart Association and National Heart, Lung and Blood Institute [23]. The analysis included a total random sample of 160 individuals randomized to the PREDIMED-PLUS trial from the Reus and Las Palmas de Gran Canaria centers. 2.2. Assessment of Fluid Intake A trained dietician, on behalf of participants at an interview, filled in the fluid-specific questionnaire, recording the daily and weekly consumption of different types of beverage over the previous month (Figure 1in English and Supplementary materials Figure S1 in Spanish). The average daily fluid intake from beverages was estimated on the basis of servings of each type of beverage. The questionnaire items on beverages included: tap water, bottled water, natural fruit juices, bottled fruit juices, natural vegetable juices, bottled vegetable juices, whole milk, semi-skimmed milk, skimmed milk, drinking yogurt (100 and 200 cc), milkshakes, vegetable drinks, soups, jellies and sorbets, sugar-sweetened beverages (SSBs) (200 and 330 cc), artificially-sweetened beverages (ASBs) (200 and 330 cc), espresso (sweetened and unsweetened), white coffee (sweetened and unsweetened), tea (sweetened and unsweetened), other infusions (sweetened and unsweetened), beer (200 and 330 cc), non-alcoholic beer (200 and 330 cc), wine, sprits, mixed alcoholic drinks, energy drinks, sports drinks (200 and 330 cc), meal replacement shakes and other beverages. Total fluid intake was considered to be the sum of all types of beverage. The amount of water in each beverage was estimated using the percentage of water values from the United States Department of Agriculture (USDA) online database [ 24 ]. All of the analyses were performed taking into account the mL of water content in each beverage. 2.3. Urine Collection Participants provided a 24-h urine sample, and trained personnel recorded the volume, the day it was provided and the mean environmental temperature of the collection day. Participants were advised that, in the morning, the first urine of the collection day should be discarded, and the first urine sample of the following day included, thus concluding the 24-h cycle. After receiving the urine sample, the trained personnel aliquoted the samples and kept them at ´ 80 ˝ C. Urine osmolality (Uosm) was measured (mOsm/kg) before 31 weeks of freezing using the refractive index method and the osmometer ARKRAY OM6050 (Arkay Global Business, Kyoto, Japan) Osmo Station. Urine osmolality is a measure of the number of dissolved particles per unit of water in urine. Some of these particles can include chloride, glucose, potassium, sodium or urea. In the context of nutrition, the osmolality of a 24-h urine sample reflects the self-regulating activity of renal concentration or dilution mechanisms during a 24-h period. It measures the functional surplus of water and characterizes 24-h hydration status [25]. 2.4. Assessment of Other Covariates At baseline and in each visit during the follow-up, questionnaires were administered about lifestyle variables, educational achievement, history of illness, and medication use. Physical activity was assessed using a validated Spanish version of the Minnesota Leisure-Time Physical Activity questionnaire [ 26 ]. Trained personnel took the anthropometric measurements. Weight and height were measured with light clothing, and no shoes with calibrated scales and a wall-mounted stadiometer (Certified scale BARYS with stadiometer T2), respectively. Trained dietitians completed a 137-item semi-quantitative and validated [ 27 ] FFQ in a face-to-face interview with the participant. Energy and protein intake were estimated using a Spanish food composition table [ 28 , 29 ]. In addition, dietitians Nutrients 2016,8, 475 4 of 13 administered a 17-item MedDiet screener, adapted from the 14-item questionnaire validated for the PREDIMED study [30], to assess the degree of adherence to the traditional MedDiet. Nutrients 2016, 8, 475 4 of 13 Figure 1. The beverage intake assessment questionnaire in English (translated version and not validated tool). 2.5. Statistical Analysis Beverages and total fluid intake (mL/day) and demographic characteristics are presented as a means (SD) for continuous variables or percentages (numbers) for dichotomous variables. Student’s t-test or Pearson’s χ2 tests were used to compare the quantitative or categorical general characteristics of the participants. To assess relative validity, the total daily fluid intake assessed by the fluid-specific questionnaire was compared to the urine osmolality and the 24-h urine volume values. Associations among these variables were assessed using the correlational analysis Bland–Altman agreement method. A total of Figure 1. The beverage intake assessment questionnaire in English (translated version and not validated tool). 2.5. Statistical Analysis Beverages and total fluid intake (mL/day) and demographic characteristics are presented as a means (SD) for continuous variables or percentages (numbers) for dichotomous variables. Student’s t-test or Pearson’s χ2 tests were used to compare the quantitative or categorical general characteristics of the participants. To assess relative validity, the total daily fluid intake assessed by the fluid-specific questionnaire was compared to the urine osmolality and the 24-h urine volume values. Associations among these variables were assessed using the correlational analysis Bland–Altman agreement method. A total of 160 participants were included in the validity analysis. A stepwise method was used to select only the significant predictors for urine osmolality. The list of covariates that were not kept in the Nutrients 2016,8, 475 5 of 13 final model (i.e., did not contribute significantly) to the model urine osmolality were: sex, height, weight, center of recruitment, intervention group, total protein intake, MedDiet adherence, leisure-time physical activity, mean environmental temperature, urine albumin and urine creatinine. The covariates that were kept in the model included age, BMI and total energy consumption. The model for the 24-h urine volume analysis included age and total energy intake. No predictor interactions were found with any of the aforementioned variables. Quintiles of total water intake, osmolality and 24-h urine volume were calculated. The osmolality and 24-h urine volume values were adjusted by the same covariates as were used in the validity analysis. The degree of gross misclassification in the fluid-specific questionnaire with respect to the adjusted osmolality and adjusted 24-h urine volume values was evaluated using contingency tables. The proportions of correctly categorized subjects in the same or adjacent quintiles, and also the individuals classified in extreme quintiles were calculated. The repeatability of the fluid-specific questionnaire was examined by comparing baseline, and six-month and 12-month values (in 45 and 34 individuals, respectively) with paired Student’s t-tests. For a comparison between repeatedly measured variables of consumption of each type of beverage and total fluid intake during time (baseline, six month and one year), a linear mixed-effect model for repeated measures was used. In order to avoid the effect of the intervention on beverage and total-water intake, only individuals from the control group were included in the repeatability analysis. The level of significance for all the statistical tests was set at p< 0.05 for bilateral contrast. Analyses were performed using JMP version 12.1.0 (SAS Institute Inc., Cary, NC, USA) and with SPSS software, version 22.0 (SPSS Inc., Chicago, IL, USA). 3. Results A total of 160 participants (68 men and 92 women) with a mean age of 65.3 years (range 55 to 75 years) were included in the present analysis. Height and weight, but not BMI, were significantly different between men and women. Such lifestyle variables as leisure-time physical activity, MedDiet adherence and total energy consumed were different between genders. Levels of urine osmolality, urine creatinine and urine albumin were higher in men. Women took significantly more pain relief pills and tranquilizers than men. The general characteristics of the study participants are summarized in Table 1. Table 1. General characteristics of the study population. Variables All Population (n= 160) Men (n= 68) Women (n= 92) p-Value a Age, years 65.3 (4.9) 64.5 (5.9) 65.9 (3.9) 0.097 Height, m 1.62 (0.09) 1.69 (0.06) 1.56 (0.06) <0.001 Weight, kg 86.7 (14.3) 94.3 (12.5) 81.9 (12.9) <0.001 BMI, kg/m233.0 (4.3) 32.9 (3.6) 33.1 (4.7) 0.328 Leisure-time physical activity, METs/week 3123 (2804) 4006 (2945) 2471 (2518) <0.001 Mediterranean diet score, (0–17 points) 9.2 (2.5) 8.5 (2.6) 9.8 (2.3) <0.005 Total energy intake, kcal/day 2229 (551) 2330 (606) 2155 (497) <0.005 Total protein intake, g/day 134 (357) 189 (545) 93 (22) 0.276 Urine volume, mL/day 1722 (651) 1762 (698) 1693 (616) 0.506 Urine osmolality, mOsm/kg 551 (211) 631 (204) 492 (196) <0.001 Urine albumin, mg/dL 13.8 (31.8) 20.0 (39.5) 9.0 (23.4) 0.047 Urine creatinine, µmol/dL 7718 (3760) 9440 (4204) 6431 (2783) <0.001 Urine albumin to creatinine ratio, mg/g 17.1 (43.4) 22.2 (53.2) 13.2 (33.9) 0.228 Use of medications, % (n) Aspirin 24.4 (39) 26.5 (18) 22.8 (21) 0.596 Pain relief 33.7 (54) 17.6 (12) 45.6 (42) <0.005 Tranquilizers 27.5 (44) 17.6 (12) 34.8 (32) 0.016 Vitamin/minerals 6.9 (11) 2.9 (2) 9.8 (9) 0.091 Heart problems 4.4 (7) 5.9 (4) 3.3 (3) 0.423 Antihypertensive agents 79.4 (127) 82.3 (56) 77.2 (71) 0.423 Statins 56.9 (91) 50.0 (34) 62.0 (57) 0.131 Insulin 6.2 (10) 5.9 (4) 6.5 (6) 0.869 Oral anti-diabetic drugs 30.0 (48) 30.9 (21) 29.3 (27) 0.834 Others 68.1 (109) 63.2 (43) 71.7 (66) 0.254 Data expressed as means (SD) or percentages (n). Abbreviations: BMI, body mass index. a p-Values for comparisons between groups were tested by Student’s t-test or χ2as appropriate. Nutrients 2016,8, 475 6 of 13 3.1. Relative Validity of the Questionnaire Total daily fluid intake from beverages assessed by the specific questionnaire was negatively associated with age and urine osmolality, and positively associated with BMI and total energy intake (R 2 : 0.20; p< 0.001). The Bland–Altman analysis showed relatively good agreement between total daily fluid intake assessed using the fluid-specific questionnaire, and urine osmolality and 24-h volume with parameter estimates of ´ 0.65 and 0.22, respectively. The validity results for the total daily fluid intake assessed with the specific questionnaire are presented in Table 2. The Bland–Altman plot showing the relationship between total daily fluid intake and 24-h urine volume is shown in a supplementary file (Figure S2). Table 2. Parameter estimates for two candidate models (osmolality and urine volume) with similar predictive ability of total daily beverage intake. Term Parameter Estimate Standardized β* Standard Error p-Value R2 Intercept 2278 Osmolality ´0.65 ´0.26 0.18 0.0005 0.20 Age ´25.13 ´0.23 7.94 0.0019 BMI 23.86 0.15 11.38 0.0376 Total energy 0.27 0.25 0.08 0.0007 Intercept 2455 Urine volume 0.22 0.27 0.06 0.0003 0.20 Age ´26.03 ´0.24 7.93 0.0013 Total energy 0.24 0.23 0.07 0.0019 * Standardized beta weights are indicative of effect size. The percentage of gross misclassification (both over-and underestimation by the fluid-specific questionnaire) as indices of validity of the fluid-specific questionnaire in categorizing individuals was performed (Supplementary Materials Table S1). Osmolality analysis classified 66% of the individuals into the same or the adjacent quintile ( ˘ 1 quintile) with both methods. A total of 4.4% of the individuals were classified into quintiles at opposite ends of the scale (highest quintile of total water from beverage intake and lowest quintile of osmolality). A total of 6.9% of the population was classified into the lowest quintile of total water intake and the highest quintile of osmolality, suggesting that the total water intake from fluids may have been underestimated. In the 24-h urine volume analysis, 65.7% of the individuals were categorized in the same or the adjacent quintile ( ˘ 1 quintile) by both methods. A total of 4.4% and 1.3% of the population studied were misclassified in extreme quintiles (the highest quintile of total water intake and the lowest 24-h urine volume quintile, and the lowest of the total water intake and the highest 24-h urine volume quintiles, respectively). 3.2. Repeatability of the Questionnaire Table 3shows the repeatability of the fluid-specific questionnaire measurements for each type of beverage analyzed (baseline vs. six months and baseline vs. one year). The consumption in mL/day of each type of beverage and total daily fluid intake at baseline, six months and one year is described. The differences in the consumption (mL/day) between baseline and six months and baseline and one year, and differences in the consumption during all the visits are also shown in the table. No significant differences were found in the fluid consumption from beverages between the baseline and six months or one-year assessments. Nutrients 2016,8, 475 7 of 13 Table 3. Repeatability of the beverage intake assessment questionnaire. Beverage Category Baseline (mL/day) (n= 67) Baseline vs. 6 Months Baseline vs. 1 Year Mean (SD) Mean (SD) 6 Months (mL/day) (n= 45) Differences from Baseline p-Value a1 Year (mL/day) (n= 34) Differences from Baseline p-Value ap-Value b Tap water 289 (571) 449 (657) 62 (413) 0.32 360 (577) ´23 (502) 0.79 0.389 Bottled water 755 (539) 773 (714) 80 (505) 0.29 813 (612) 125 (577) 0.22 0.905 Natural fruit juices 39 (69) 27 (54) 1 (79) 0.92 28 (61) 16 (75) 0.21 0.537 Bottled fruit juices 26 (93) 22 (52) 7 (46) 0.33 19 (44) 7 (29) 0.16 0.880 Natural vegetable juices 6 (28) 16 (36) 9 (29) 0.05 1 (9) ´1 (16) 0.79 0.073 Bottled vegetable juices 14 (69) 4 (14) ´5 (32) 0.25 4 (18) ´7 (41) 0.35 0.451 Whole milk 24 (92) 3 (17) ´16 (89) 0.22 25 (74) 4 (125) 0.86 0.284 Semi-skimmed milk 43 (81) 67 (126) 8 (125) 0.67 63 (123) 9 (131) 0.69 0.467 Skimmed milk 95 (146) 59 (107) ´19 (145) 0.38 54 (102) ´36 (151) 0.17 0.192 Drinking yogurt (100 cc) 13 (32) 10 (32) ´6 (32) 0.23 8 (23) ´6 (25) 0.18 0.765 Drinking yogurt (200 cc) 6 (31) 13 (46) 5 (61) 0.58 10 (42) 4 (54) 0.56 0.562 Milkshakes 0 (2) 0 (0) 0 (3) 0.32 2 (10) 1 (11) 0.53 0.289 Vegetable drinks 21 (80) 9 (39) 5 (49) 0.47 38 (128) 33 (133) 0.16 0.330 Soups 36 (30) 34 (35) 0 (45) 0.93 50 (56) 17 (52) 0.07 0.144 Jellies and sorbets 2 (11) 1 (5) ´1 (9) 0.61 1 (4) ´1 (7) 0.64 0.594 SSBs (200 cc) 11 (34) 11 (38) 3 (31) 0.53 7 (32) ´3 (18) 0.32 0.862 SSBs (330 cc) 8 (39) 18 (90) 6 (92) 0.68 10 (51) 5 (54) 0.59 0.707 ASBs (200 cc) 7 (48) 21 (118) 11 (134) 0.57 39 (158) 37 (157) 0.18 0.363 ASBs (330 cc) 42 (164) 8 (32) ´54 (200) 0.08 18 (45) ´61 (215) 0.11 0.292 Espresso sweetened 16 (31) 9 (20) ´4 (31) 0.33 9 (18) ´4 (20) 0.25 0.287 Espresso unsweetened 24 (35) 36 (38) 7 (36) 0.22 31 (37) 2 (23) 0.62 0.223 White coffee sweetened 23 (63) 5 (25) ´3 (40) 0.66 4 (21) ´2 (36) 0.69 0.063 White coffee unsweetened 9 (31) 3 (18) ´5 (35) 0.32 7 (28) 3 (36) 0.57 0.492 Nutrients 2016,8, 475 8 of 13 Table 3. Cont. Beverage Category Baseline (mL/day) (n= 67) Baseline vs. 6 Months Baseline vs. 1 Year Mean (SD) Mean (SD) 6 Months (mL/day) (n= 45) Differences from Baseline p-Value a1 Year (mL/day) (n= 34) Differences from Baseline p-Value ap-Value b Tea sweetened 7 (29) 2 (13) ´7 (26) 0.09 14 (48) 2 (65) 0.82 0.246 Tea unsweetened 25 (87) 34 (105) 17 (79) 0.15 19 (51) ´2 (54) 0.82 0.718 Other infusions sweetened 27 (96) 13 (66) 12 (67) 0.23 17 (55) 15 (56) 0.13 0.646 Other infusions unsweetened 34 (91) 51 (107) 14 (90) 0.30 54 (139) 12 (106) 0.51 0.613 Beer (200 cc) 18 (67) 10 (32) ´12 (68) 0.24 1 (4) ´18 (71) 0.13 0.266 Beer (330 cc) 32 (91) 47 (119) 2 (131) 0.92 26 (66) 6 (69) 0.63 0.580 Non-alcoholic beer (200 cc) 5 (25) 11 (39) ´8 (45) 0.21 5 (24) ´4 (20) 0.28 0.581 Non-alcoholic beer (330 cc) 13 (54) 3 (14) 4 (22) 0.25 2 (15) ´11 (58) 0.25 0.283 Wine 35 (63) 41 (68) ´7 (60) 0.46 60 (85) 9 (55) 0.35 0.257 High alcoholic content beverages 1 (3) 1 (4) 0 (3) 0.66 1 (2) 0 (3) 0.26 0.988 Mixed alcoholic beverages 1 (6) 0 (3) 0 (0) - 0 (0) 0 (3) 0.32 0.388 Energy drinks 0 (0) 0 (0) 0 (0) - 0 (0) 0 (0) - - Sports drinks (200 cc) 0 (3) 0 (0) 0 (4) 0.32 0 (0) 0 (0) - 0.558 Sports drinks (330 cc) 0 (0) 2 (13) 2 (13) 0.32 0 (0) 0 (0) - 0.328 Meal replacement shakes 0 (0) 0 (0) 0 (0) - 0 (0) 0 (0) - - Other drinks 0 (0) 0 (0) 0 (0) - 0 (0) 0 (0) - - Total water intake 1711 (64) 1816 (498) 106 (475) 0.14 1804 (435) 128 (559) 0.19 0.477 Data expressed as means (SD). a p-values for comparisons between groups were tested by Student’s t-test; b p-Values for comparisons between repeated measures were tested by linear mixed models test. Nutrients 2016,8, 475 9 of 13 4. Discussion The main objective of the present analysis was to assess the relative validity and repeatability of a fluid-specific questionnaire designed to measure the habitual consumption of drinking water and different types of beverage. We report for the first time that the use of a fluid-specific questionnaire in Spanish and designed for the Spanish population seems to be highly repeatable, and relatively valid for estimating the daily intake of water from beverages. This tool may be useful for clinicians and researchers interested in assessing habitual water-drinking and beverage-consumption patterns, particularly in large-scale investigations, in which other resource-intensive dietary intake assessment techniques are not so accurate [31]. Although the present fluid-specific questionnaire is the only one to have been validated in Spanish, other questionnaires designed to evaluate beverage intake have been published and validated by a variety of different methods [ 17 , 21 , 31 , 32 ]. In 2009, Neuhouser and coworkers developed a questionnaire for assessing the consumption of snacks and beverages, mainly sweetened beverages, by young adolescents [ 31 ]. The participants filled in the self-reported beverage questionnaire and also a four-day dietary record. This second method was compared with the beverage questionnaire to assess its validity. The same method was used by Hedrick in 2010 to validate a questionnaire designed to assess the intake of water and caloric beverages [ 21 ]. This study used the energy intake from the four-day food record as a method for validating the fluid questionnaire. Although urine samples were collected, they were used to objectively determine total fluid intake and to encourage accurate self-reporting, not for purposes of validation. To date, and to the best of our knowledge, only one questionnaire has been validated using hydration indices with 24-h urine samples [ 32 ]. In 2012, Malisova and colleagues developed a “water balance questionnaire”, designed to evaluate water drinking and also water intake from solids and other beverages [ 32 ]. For validation purposes, urine was collected from 40 healthy adults and osmolality, 24-h volume, specific gravity, pH and color were evaluated. Although all of these indices have been demonstrated to be biomarkers of hydration, nowadays there is still no biomarker universally accepted as the “gold standard” [ 33 , 34 ]. Nevertheless, in the Malisova study, urine osmolality was proposed as the most promising urine biomarker of all the ones used [ 32 , 35 ]. In the present analysis, the 24-h urine samples were frozen for a few weeks, and the freezing-point depression method could not be used for assessing osmolality. Even though the method used in our study was not the same as the one used in the previously mentioned paper, the validation results were very similar in both studies. The results were also similar for the 24-h urine volume as a biomarker of hydration status. Urine volume in both of our studies and Malisova’s was found to be significantly related to hydration, but not as strongly as to urine osmolality. In our study, only 1% to 7% of the subjects were misclassified into extreme quintiles. We found that total water intake was considerably underestimated with the fluid-specific questionnaire in comparison with adjusted-osmolality values. This may be because beverages, mainly drinking water, are consumed during the day and often between meals, so they are not perceived as an important food by the participants and tend to be underestimated [18,19]. The second important outcome of the present study is that the repeatability of the Spanish fluid-specific questionnaire was tested. No differences were found for any of the beverages or in the total daily fluid intake at the different times of evaluation (baseline versus six months or one year), either during all the visits as repeated measures. Therefore, beverage intake and patterns can be compared over time. The test–retest interval between the three evaluation times of the questionnaire is a factor that has an important influence on repeatability [ 27 ]. If the interval is too short, the following evaluations can be influenced by the memory of the first answers, and repeatability will be overestimated. On the other hand, if the interval is too long, the drinking patterns may have changed, which could lead to an underestimation of repeatability [ 36 ]. According to a comprehensive review, the time intervals in reports using FFQs range between 2 h and 15 years [ 37 ]. In the present analysis, we chose time intervals of six months and one year to prevent the types of bias mentioned above.