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http://dx.doi.org/10.4163/jnh.2021.54.1.95

The estimation of cholesterol intake in elderly: reliability and validity of short, Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ)  

Nindya, Triska Susila (Department of Nutrition, Faculty of Public Health, Universitas Airlangga)
Mahmudiono, Trias (Department of Nutrition, Faculty of Public Health, Universitas Airlangga)
Rachmah, Qonita (Department of Nutrition, Faculty of Public Health, Universitas Airlangga)
Publication Information
Journal of Nutrition and Health / v.54, no.1, 2021 , pp. 95-103 More about this Journal
Abstract
Purpose: High intake of cholesterol leads to cardiovascular disruption. Estimating the actual intake of cholesterol can be beneficial for nutrition intervention. This research aimed to develop Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ) to estimate cholesterol intake and analyze its reliability and validity. Methods: SQ-FFQ was developed by sorting high cholesterol food items in Indonesian food database and food items' availability. A total of 30 older adults were randomly chosen from Public Health Center in Jagir District, Surabaya, Indonesia to test its validity. Reliability test was done by measuring the same developed SQ-FFQ in one-month period, while validity test was done by comparing SQ-FFQ results with 6-days food record. Statistical analysis used for reliability test was paired t-test, the Intra-class Correlation Coefficient (ICC), and Cronbach's α to measure the internal consistency. Meanwhile, validity of developed SQ-FFQ was analyzed using paired t-test and Bland-Altman. Results: Reliability of 2 administered SQ-FFQs showed a good agreement based on paired t-test analysis (p = 0.200), ICC (0.609), and Cronbach's α (0.757). Strong agreement was found in most of food items, but agreements for egg yolk and fried duck were poor. Significant difference was found between those food items (p = 0.001 vs. p < 0.001, respectively) with mean difference were -25.3 mg and 46.2 mg. Validity of developed SQ-FFQ2 compared to 6-days food diary records also found a strong agreement based on paired t-test and the Bland-Altman analysis. Conclusion: This baseline research provides a reasonably valid and repeatable measure of cholesterol intake estimation that can be widely used in nutrition and public health study, especially in Indonesia. No study has been conducted in Indonesia on the development of tools to estimate the cholesterol intake.
Keywords
cholesterol; elderly; food frequency; hypercholesterol; nutrition assessment;
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1 Almatsier S. The basic principles of nutrition. Jakarta: PT Gramedia Pustaka Utama; 2011.
2 Garcia-Llatas G, Rodriguez-Estrada MT. Current and new insights on phytosterol oxides in plant sterolenriched food. Chem Phys Lipids 2011; 164(6): 607-624.   DOI
3 Iriani F. Factors related to hypercholesterolemia on elderly [dissertation]. Semarang: Universitas Diponegoro; 2005.
4 Sakurai M, Stamler J, Miura K, Brown IJ, Nakagawa H, Elliott P, et al. Relationship of dietary cholesterol to blood pressure: the INTERMAP study. J Hypertens 2011; 29(2): 222-228.   DOI
5 Sposito AC. Emerging insights into hypertension and dyslipidaemia synergies. Eur Heart J Suppl 2004; 6: G8-G12.   DOI
6 La Torre G, Sferrazza A, Gualano MR, de Waure C, Clemente G, De Rose AM, et al. Investigating the synergistic interaction of diabetes, tobacco smoking, alcohol consumption, and hypercholesterolemia on the risk of pancreatic cancer: a case-control study in Italy. BioMed Res Int 2014; 2014: 481019.   DOI
7 Ellya RD, Sijani P, Utju R, Edhiwan P. Dyslipidemia among the elderly in Lembang Bandung. Kesmas Natl Public Health J 2001; 1(1): 39-53.
8 Stang J, Story M. Guidelines for adolescent nutrition services. Minneapolis (MN): Center for Leadership, Education, and Training in Maternal and Child Nutrition; 2005.
9 Kamso S. Dyslipidemia and central obesity among the elderly in the city of Padang. Kesmas Natl Public Health J 2007; 2(2): 73-7.   DOI
10 Sukma Dewandaru E. Relationship between total fat, cholesterol intake and blood cholesterol level in elderly in Aisyiyah integrated health service of Surakarta [dissertation]. Surakarta: Universitas Muhammadiyah Surakarta; 2015.
11 Fleiss JL. Design and analysis of clinical experiments: Hoboken (NJ): John Wiley & Sons; 2011.
12 Fernández-Ballart JD, Piñol JL, Zazpe I, Corella D, Carrasco P, Toledo E, et al. Relative validity of a semiquantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr 2010; 103(12): 1808-1816.   DOI
13 Jackson MD, Walker SP, Younger NM, Bennett FI. Use of a food frequency questionnaire to assess diets of Jamaican adults: validation and correlation with biomarkers. Nutr J 2011; 10(1): 28.   DOI
14 Willet W. Nutritional epidemiology. 2nd ed. New York (NY): Oxford University Press; 1998.
15 Bruin J. Newtest: command to compute new test [Internet]. Los Angeles (CA): UCLA Statistical Consulting Group; 2006 [cited 2018 Aug 15]. Available from: http://www.ats.ucla.edu/stat/stata/ado/analysis/.
16 Allan C, Abdul Kader UH, Ang JY, Muhardi L, Nambiar S. Relative validity of a semi-quantitative food frequency questionnaire for Singaporean toddlers aged 15-36 months. BMC Nutr 2018; 4(1): 42.   DOI
17 Horiuchi Y, Kusama K, Sar K, Yoshiike N. Development and validation of a food frequency questionnaire (FFQ) for assessing dietary macronutrients and calcium intake in Cambodian school-aged children. Nutr J 2019; 18(1): 11.   DOI
18 Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285(19): 2486-2497.   DOI
19 Kelly RB. Diet and exercise in the management of hyperlipidemia. Am Fam Physician 2010; 81(9): 1097-1102.
20 Tsubono Y, Nishino Y, Fukao A, Hisamichi S, Tsugane S. Temporal change in the reproducibility of a selfadministered food frequency questionnaire. Am J Epidemiol 1995; 142(11): 1231-1235.   DOI
21 World Health Organization. Global status report on non-communicable diseases 2010. Geneva: World Health Organization; 2011.
22 United Nations Development Programme. Human development report 2019. The next frontier: human development and the anthropocene. Briefing note for countries on the 2020 human development report [Internet]. New York (NY): United Nations Development Programme; 2019 [cited 2019 Feb 15]. Available from: http://hdr.undp.org/sites/all/themes/hdr_theme/country-notes/IDN.pdf.
23 Ministry of Health of Indonesia. Indonesia health profile. Jakarta: Ministry of Health of Indonesia; 2017.
24 The Central Bureau of Statistics. Statistic of elderly population 2019 [Internet]. Jakarta: The Central Bureau of Statistics; 2019 [cited 2019 Feb 15]. Available from: https://www.bps.go.id/publication/2019/12/20/ab17e75dbe630e05110ae53b/statistik-penduduk-lanjut-usia-2019.html.
25 Sorganvi V, Kulkarni MS, Kadeli D, Atharga S. Risk factors for stroke: a case control study. Int J Curr Res Rev 2014; 6(3): 46-52.
26 Ministry of Health of Indonesia. Basic health research report 2013. Jakarta: Ministry of Health of Indonesia; 2014.