Development and testing of a quantitative food frequency questionnaire for use in Kerala, India

Hébert, James R.; Gupta, Prakash C.; Bhonsle, R. B.; Sinor, Pesi N; Mehta, Hemali; Mehta, Fali S.

doi:10.1079/phn19980019

Cited by 36 publications

(44 citation statements)

References 23 publications

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“…Linear regression was also used to assess the agreement between the intakes derived from FFQ1 and the average of those obtained from the 3 d of 24HR (33,34) .…”

Section: Discussionmentioning

confidence: 99%

Validation of a self-administered FFQ in adults in Argentina, Chile and Uruguay

Elorriaga

Irazola²,

Defagó³

et al. 2014

Public Health Nutr.

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Objective: To assess the reproducibility and validity among adults in the Southern Cone of Latin America (Argentina, Chile and Uruguay) of a self-administered FFQ to be used in the CESCAS I Study, an ongoing observational prospective cohort study to detect and follow up CVD and their risk factors, as well as in other epidemiological studies. Design: Relative validity of the FFQ was evaluated by comparing nutrient and selected food group intakes with those from three 24 h recalls (24HR) administered over 6 months. The FFQ was administered at baseline (FFQ1) and again after 3 months (FFQ2). Setting: Primary-care centres in Argentina, Chile and Uruguay. Subjects: Adults (n 147) aged 21-74 years. Results: Reproducibility (FFQ1 v. FFQ2): the intra-class correlation coefficients for nutrients ranged from 0?52 (potassium) to 0?74 (fat). Validity (FFQ1 v. the average of three 24HR): the Pearson correlations for energy-adjusted nutrients ranged from 0?39 (thiamin and cholesterol) to 0?59 (carbohydrate). Joint classification: overall, 66 % of participants in the lowest 24HR quintile were in the lowest one or two FFQ1 quintiles, and 62 % of those in the highest 24HR quintile were in the highest one or two FFQ1 quintiles. On average, only 4 % were misclassified into extreme quintiles. Conclusions: The FFQ version for the Southern Cone seems to present moderate to acceptable relative validity and reliability for its use in the CESCAS I Study to measure dietary exposure.Keywords FFQ Validity Reproducibility Southern Cone of Latin America CVD are increasing throughout the world and cause 16?7 million deaths each year, 80 % of which occur in lowand middle-income countries. Most cardiovascular risk in the Southern Cone of Latin America (Argentina, Chile and Uruguay) could be explained by tobacco use, abnormal lipids, abdominal obesity and high blood pressure, as shown in the INTERHEART Latin American study that included 3125 cases and controls from different Latin American countries (1) . In Argentina, recent estimates have shown that there were more than 600 000 disabilityadjusted life years and almost 400 000 years of potential life lost due to CHD and stroke in 2005. Modifiable risk factors explained 75?0 % of fatal and non-fatal acute CHD and stroke events, 75?5 % of costs for acute events and 70?7 % of disability-adjusted life years lost (2) .Nutritional exposures are considered risk factors for CVD as well as other non-communicable and infectious diseases (3,4) . FFQ are often used in epidemiological studies to investigate the relationship between diet and disease because they are easy to administer, less expensive than other methods and can, at least theoretically, assess dietary intake over an extended period of time (5) . Usually FFQ are not considered an appropriate method of estimating actual nutrient intakes of individuals, but they can be used to rank people according to their intake. This information is useful to categorize nutritional exposures for epidemiological studies (6) .FFQ may be administered by tr...

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“…Linear regression was also used to assess the agreement between the intakes derived from FFQ1 and the average of those obtained from the 3 d of 24HR (33,34) .…”

Section: Discussionmentioning

confidence: 99%

Validation of a self-administered FFQ in adults in Argentina, Chile and Uruguay

Elorriaga

Irazola²,

Defagó³

et al. 2014

Public Health Nutr.

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“…Using this methodology in the context of 24HR is important per se (because it is a practicable assessment method in clinical research). It also has added relevance because the 24HR is often the referent method in validation studies of structured questionnaires including the FFQ [37][38][39], and it is reasonable to consider GI or GL as a parameter for which to test in validation.…”

Section: Discussionmentioning

confidence: 99%

Methodology for adding glycemic index and glycemic load values to 24-hour dietary recall database

Olendzki

Culver³

et al. 2006

Nutrition

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Objectives-We describe a method of adding the glycemic index (GI) and glycemic load (GL) values to the nutrient database of the 24-hour dietary recall interview (24HR), a widely used dietary assessment. We also calculated daily GI and GL values from the 24HR.Methods-Subjects were 641 healthy adults from central Massachusetts who completed 9067 24HRs. The 24HR-derived food data were matched to the International Table of Glycemic Index and Glycemic Load Values. The GI values for specific foods not in the table were estimated against similar foods according to physical and chemical factors that determine GI. Mixed foods were disaggregated into individual ingredients.Results-Of 1261 carbohydrate-containing foods in the database, GI values of 602 foods were obtained from a direct match (47.7%), accounting for 22.36% of dietary carbohydrate. GI values from 656 foods (52.1%) were estimated, contributing to 77.64% of dietary carbohydrate. The GI values from three unknown foods (0.2%) could not be assigned. The average daily GI was 84 (SD 5.1, white bread as referent) and the average GL was 196 (SD 63).Conclusion-Using this methodology for adding GI and GL values to nutrient databases, it is possible to assess associations between GI and/or GL and body weight and chronic disease outcomes (diabetes, cancer, heart disease). This method can be used in clinical and survey research settings where 24HRs are a practical means for assessing diet. The implications for using this methodology compel a broader evaluation of diet with disease outcomes.

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“…16 A semiquantitative food-frequency questionnaire (FFQ) was used to estimate the dietary consumption of lutein and zeaxanthin, which included questions about the usual intakes of the Indian foods rich in lutein and zeaxanthin. 17 The lifetime ocular UV exposure data collection was performed as per the Melbourne visual impairment project model. 18 In short, it contained collection of data on details of migration, the use of protective devices based on questionnaire, and details on UV radiation exposure at the location based on geographic location.…”

Section: Methodsmentioning

confidence: 99%

Association of macular pigment optical density with risk factors for wet age-related macular degeneration in the Indian population

Raman

Biswas

Gupta

et al. 2012

Eye

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Purpose To investigate macular pigment optical density (MPOD) in patients with and without wet age-related macular degeneration (AMD) and to elucidate the association between MPOD and the risk factors for AMD in an Indian population. Methods Thirty-three subjects with wet AMD and 29 controls above 50 years old underwent MPOD measurement with the 'Macular Densitometer'. The subjects were also tested for their smoking history, lifetime ultraviolet (UV) exposure, dietary intake of carotenoids, and body mass index (BMI). Results Smokers had a higher risk for AMD than the non-smokers (P ¼ 0.032) and a lower MPOD level than non-smokers (mean (95% CI)) (0.16 (0.09-0.23) vs 0.28 (0.22-0.34), adjusted P ¼ 0.026). Subjects with lowest UV exposure had higher MPOD than those with the highest (0.46 (0.38-0.54) vs 0.17 (0.01-0.33), P ¼ 0.01). MPOD was significantly lower among those with the lowest quartile of dietary intake of carotenoids (0.14 (0.08-0.21) vs 0.25 (0.13-0.36), P ¼ 0.012). Smoking, obesity, and UV index showed an inverse association with the MPOD. Low MPOD, smoking, and UV exposure had 5.11 (1.73-15.08), 3.54 (1.08-11.57), and 5.24 (1.06-25.96) odds for AMD, respectively, whereas higher dietary intake of carotenoids showed a protective effect for AMD. Conclusion We found an inverse association between wet AMD and MPOD. Among the established risk factors of wet AMD, we found an inverse association of smoking, UV index, and obesity with MPOD, whereas a positive association was found between dietary intake of carotenoids and MPOD. Eye (2012) 26, 950-957;

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Development and testing of a quantitative food frequency questionnaire for use in Kerala, India

Cited by 36 publications

References 23 publications

Validation of a self-administered FFQ in adults in Argentina, Chile and Uruguay

Validation of a self-administered FFQ in adults in Argentina, Chile and Uruguay

Methodology for adding glycemic index and glycemic load values to 24-hour dietary recall database

Association of macular pigment optical density with risk factors for wet age-related macular degeneration in the Indian population

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