Validity of a food frequency questionnaire to assess nutritional intake among Sri Lankan adults
Jayawardena et al. SpringerPlus (2016) 5:162
DOI 10.1186/s40064-016-1837-x
Open Access
RESEARCH
Validity of a food frequency
questionnaire to assess nutritional intake
among Sri Lankan adults
Ranil Jayawardena1,2*, Nuala M. Byrne3, Mario J. Soares4, Prasad Katulanda5 and Andrew P. Hills6
Abstract
Sri Lanka is undergoing nutritional transition and diet-related chronic diseases are emerging as an important health
problem. Currently, no validated food frequency questionnaire (FFQ) exists to measure habitual dietary intake of Sri
Lankan adults. The purpose of the study is to assess the validity of a semi-quantitative FFQ and 7-day weighed-intake
dietary records (7DWR), designed to assess dietary intake among Sri Lankan adults. Dietary intake was measured using
both a FFQ and 7DWR. The FFQ consisted of 8 food groups containing the main foods comprising the diet of Sri Lankan adults, a total of 85 items and 12 color photographs to identify serving size. One hundred healthy adults were randomly recruited from a community sample and administrated the FFQ followed by completion of the 7DWR. Paired
sample t tests, Pearson’s correlation coefficients, kappa test and Bland–Altman analysis were conducted to determine
correlation and the level of agreement for energy and micronutrients. Seventy-seven participants completed both
the FFQ and 7DWR. Estimated mean energy intake (SD) from FFQ (1794 ± 398 kcal) and 7DWR (1698 ± 333 kcal,
p < 0.001) were significantly different due to a significant overestimation of carbohydrate (11.5 g/day, p < 0.001) and
to some extent fat (5.7 g/day, ns). Significant positive correlations (p < 0.05) were found between the FFQ and 7DWR
for energy (r = 0.39), carbohydrate (r = 0.47), protein (r = 0.26), fat (r = 0.17) and dietary fiber (r = 0.32). Bland–Altman
graphs indicated fairly good agreement between methods with no relationship between bias and average intake of
each nutrient examined. Based on these findings, the FFQ appears to be an acceptable tool for assessing the nutrient
intake of Sri Lankans and will assist proper categorization of individuals by dietary intake.
Keywords: FFQ, Sri Lanka, Adults, Validation, Diet, Nutrition
Introduction
Sri Lanka is a low-middle-income country (LMIC)
undergoing a nutritional transition (Jayawardena et al.
2014). Although under-nutrition and anemia are still
prevalent, a significant proportion of adults are suffering from diet-associated non-communicable diseases
(NCDs; Jayawardena et al. 2014). For example, a quarter
of Sri Lankan adults are suffering from the metabolic
syndrome (Katulanda et al. 2012) and using the Sri Lankan classification of obesity (BMI > 25 kg m−2), 21 % men
and 33 % women are obese (Jayawardena et al. 2012a).
*Correspondence:
1
Department of Physiology, Faculty of Medicine, University of Colombo,
Colombo, Sri Lanka
Full list of author information is available at the end of the article
Dietary pattern plays a significant role in obesity (Jayawardena et al. 2013) and an estimated one-fifth of adults
are dysglycemic (Katulanda et al. 2008). A priority area
for Sri Lankan health authorities is to combat diet-related
NCDs however there is limited information on dietary
patterns to supplement national data on diabetes and
cardiovascular diseases, mainly due to the absence of a
valid nutrition assessment tool (Katulanda et al. 2008).
FFQs are designed to measure dietary intake over an
extended period of time, and is a commonly accepted
tool to assess habitual dietary intake in epidemiological
studies of diet and chronic diseases (Willett et al. 1988).
In comparison to other dietary intake assessment methods, FFQs are relatively inexpensive, easy and quick
to administer (Cade et al. 2002). In the US, a FFQ has
been used to examine the relationship between fruit and
© 2016 Jayawardena et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International
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Jayawardena et al. SpringerPlus (2016) 5:162
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vegetable intake and cardiovascular disease risk (Bazzano
et al. 2002). Similarly, validated FFQs have been used for
the European Prospective Investigation into Cancer and
Nutrition (EPIC) Study in several countries (Kroke et al.
1999), and to obtain dietary data from a large adult sample in the Australian National Nutrition Survey (Mishra
et al. 2002). FFQ is a valid tool for the assessment of dietary habits of South Indians (Dwarkanath et al. 2012).
Population-specific FFQs are important to assess the
dietary intake of particular groups of people (Katulanda
et al. 2008), including a multi-ethnic population characteristic of Sri Lanka (Jayawardena et al. 2013). We developed a semi-quantitative FFQ for Sri Lankan adults and
collected a representative study sample (n = 600) from
across the island (Jayawardena et al. 2012b). The relative validity of FFQs is usually assessed by comparing
their findings with a reference method however such
an approach is usually time consuming, detailed and
with high subject burden. Despite the lack of a universally accepted ‘reference method’ 7-day weighed-intake
dietary records (7DWR) are widely considered the ‘gold
standard’ approach to assess habitual diet (Swan 2004).
The aim of this study was to assess the validity of a newly
developed FFQ to estimate nutrient intake compared to
7DWR among Sri Lankan adults.
low (<800 kcal/day) and very high reported average food
intake (>4000 kcal/day; Jayawardena et al. 2014).
Methods
Participants were advised to keep a weighed record of all
food items and beverages consumed, both in and out of
the home, over a period of seven consecutive days. Investigators provided verbal instructions and demonstration
on site and daily telephone instructions were also provided for any specific queries. All particiapnts received
a calibrated kitchen scale (Tanita KD-407) and a ‘Home
Record’ diary to weigh home-cooked foods, and a smaller
pocket-sized ‘Eating and Drinking Away From Home’
diary (the ‘Eating Out’ diary) for recording food intake
when foods could not be weighed, generally foods eaten
away from home. Unweighed food items were quantified by estimating size based on participant’s description
however items were very limited such as biscuits and
other bakery items.
Background
In the Sri Lanka Diabetes and Cardiovascular Study
(SLDCS) a multi-stage random-cluster sampling method
was used to select a nationally representative sample
(n = 5000) of non-institutionalized adults aged ≥18 years
(Katulanda et al. 2008). A sub-sample of the SLDCS was
used to develop a representative FFQ for Sri Lankan
adults details of which have been published elsewhere
(Jayawardena et al. 2012c). Ethical approv (...truncated)