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Under- and overreporting of energy is related to obesity, lifestyle factors and food group intakes in Jamaican adults

Published online by Cambridge University Press:  02 January 2007

Michelle A Mendez ,
Suzanne Wynter ,
Rainford Wilks  and
Terrence Forrester
Michelle A Mendez*
Affiliation:
Carolina Population Center, University of North Carolina–Chapel Hill, CB* 8120, University Square, 123 West Franklin Street, Chapel Hill, NC 27516-2524, USA
Suzanne Wynter
Affiliation:
Tropical Medicine Research Institute, University of the West Indies, Kingston, Jamaica
Rainford Wilks
Affiliation:
Tropical Medicine Research Institute, University of the West Indies, Kingston, Jamaica
Terrence Forrester
Affiliation:
Tropical Medicine Research Institute, University of the West Indies, Kingston, Jamaica
*
*Corresponding author: Email [email protected]
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Abstract

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Objective:

Research in industrialised countries has documented a high prevalence of underreported energy intakes associated with characteristics such as obesity. This paper examines the prevalence, patterns and impact of energy under- and overreporting on diet–obesity relationships in a middle-income developing country.

Design:

A 70-item food-frequency questionnaire was used. Underreporters had reported energy intakes < 1.35 × basal metabolic rate (BMR), overreporters > 2.4 × BMR. Multinomial models were used to identify characteristics associated with implausible reporting. Intakes were compared across reporting groups to assess evidence of bias. Associations between diet and obesity were compared with and without adjustment for implausible reporting.

Setting:

Spanish Town, neighbouring the capital city of Kingston, Jamaica.

Subjects:

Eight hundred and ninety-one Jamaican adults, aged 25–75 years, were randomly recruited.

Results:

More women than men (38.6% vs. 22.5%) underreported, but more men overreported energy (23.7% vs. 16.0%). Underreporting was positively associated with obesity, special diets, smoking and age; age was inversely associated with overreporting. Underreporters estimated lower energy from potentially socially undesirable food groups (e.g. snacks) and higher intakes of ‘healthy’ foods (e.g. fruit) than did plausible reporters. For some of these food groups, significant differences in intakes among normal-weight versus obese subjects observed among plausible reporters were absent when implausible reporters were included. In models of food group–obesity associations, adjusting for implausible energy yielded more credible results that more closely resembled findings in plausible reporters.

Conclusions:

Energy under- and overreporting are highly prevalent in Jamaica. Adjusting for implausible reporting may help to reduce bias in diet–health outcome associations.

Keywords

UnderreportingDiet surveysEnergy intakeObesitySelf-disclosureLifestyle
Type
Research Article
Information
Public Health Nutrition , Volume 7 , Issue 1 , February 2004 , pp. 9 - 19
Copyright
Copyright © CAB International 2004

References

1Heitmann, BL, Lissner, L. Dietary underreporting by obese individuals – is it specific or non-specific? British Medical Journal 1995; 311: 986–9.CrossRefGoogle ScholarPubMed
2Goris, AH, Westerterp-Plantenga, MS, Westerterp, KR. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. American Journal of Clinical Nutrition 2000; 71: 130–4.CrossRefGoogle ScholarPubMed
3Hirvonen, T, Mannisto, S, Roos, E, Pietinen, P. Increasing prevalence of underreporting does not necessarily distort dietary surveys. European Journal of Clinical Nutrition 1997; 51: 297–301.CrossRefGoogle Scholar
4Krebs-Smith, SM, Graubard, BI, Kahle, LL, Subar, AF, Cleveland, LE, Ballard-Barbash, R. Low energy reporters vs. others: a comparison of reported food intakes. European Journal of Clinical Nutrition 2000; 54: 281–7.CrossRefGoogle ScholarPubMed
5Lafay, L, Basdevant, A, Charles, MA, Vray, M, Balkau, B, Borys, JM, et al. Determinants and nature of dietary underreporting in a free-living population: the Fleurbaix Laventie Ville Sante (FLVS) study. International Journal of Obesity and Related Metabolic Disorders 1997; 21: 567–73.CrossRefGoogle Scholar
6Braam, LA, Ocke, MC, Bueno-de-Mesquita, HB, Seidell, JC. Determinants of obesity-related underreporting of energy intake. American Journal of Epidemiology 1998; 147: 1081–6.CrossRefGoogle ScholarPubMed
7Hebert, JR, Clemow, L, Pbert, L, Ockene, IS, Ockene, JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. International Journal of Epidemiology 1995; 24: 389–98.CrossRefGoogle ScholarPubMed
8Voss, S, Kroke, A, Klipstein-Grobusch, K, Boeing, H. Obesity as a major determinant of underreporting in a self-administered food frequency questionnaire: results from the EPIC–Potsdam Study. Zeitshrift fur Ernahrungswissenschaft 1997; 36: 229–36.CrossRefGoogle Scholar
9Johansson, G, Wikman, A, Ahren, AM, Hallmans, G, Johansson, I. Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutrition 2001; 4: 919–27.CrossRefGoogle ScholarPubMed
10Johansson, L, Solvoll, K, Bjorneboe, GE, Drevon, CA. Under-and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. American Journal of Clinical Nutrition 1998; 68: 266–74.CrossRefGoogle ScholarPubMed
11Lafay, L, Mennen, L, Basdevant, A, Charles, MA, Borys, JM, Eschwege, E, et al. Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Sante (FLVS) study. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1500–6.CrossRefGoogle ScholarPubMed
12Harrison, GG, Galal, OM, Ibrahim, N, Khorshid, A,Stormer, A, Leslie, J, et al. Underreporting of food intake by dietary recall is not universal: a comparison of data from Egyptian and American women. Journal of Nutrition 2000; 130: 2049–54.CrossRefGoogle Scholar
13Mennen, LI, Jackson, M, Cade, J, Mbanya, JC, Lafay, L, Sharma, S, et al. Underreporting of energy intake in four populations of African origin. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 882–7.CrossRefGoogle ScholarPubMed
14Ataman, SL, Cooper, R, Rotimi, C, McGee, D, Osotimehin, B, Kadiri, S, et al. Standardization of blood pressure measurement in an international comparative study. Journal of Clinical Epidemiology 1996; 49: 869–77.CrossRefGoogle Scholar
15Cooper, R, Rotimi, C, Ataman, S, McGee, D, Osotimehin, B, Kadiri, S, et al. The prevalence of hypertension inseven populations of West African origin. American Journal of Public Health 1997; 87: 160–8.CrossRefGoogle Scholar
16Sharma, S, Cade, J, Jackson, M, Mbanya, JC, Chungong, S, Forrester, T, et al. Development of food frequency questionnaires in three population samples of African origin from Cameroon, Jamaica and Caribbean migrants to the UK. European Journal of Clinical Nutrition 1996; 50: 479–86.Google ScholarPubMed
17Jackson, M, Walker, S, Cade, J, Forrester, T, Cruickshank, JK, Wilks, R. Reproducibility and validity of a quantitative food-frequency questionnaire among Jamaicans of African origin. Public Health Nutrition 2001; 4: 971–80.CrossRefGoogle ScholarPubMed
18US Department of Agriculture, Agricultural Research Service. USDA Nutrient Database for Standard Reference, Release 15 [online]. Available at http://www.nal.usda.gov/fnic/food-comp, 2002.Google Scholar
19First DataBank Inc., NutritionistPro. San Bruno, CA: The Hearst Corporation.Google Scholar
20Caribbean Food and Nutrition Institute (CFNI). Food Composition Tables for Use in the English-Speaking Caribbean, 2nd ed. Kingston, Jamaica: CFNI Press, 1995.Google Scholar
21Mennen, LI, Jackson, M, Sharma, S, Mbanya, JC, Cade, J, Walker, S, et al. Habitual diet in four populations of African origin: a descriptive paper on nutrient intakes in rural and urban Cameroon, Jamaica and Caribbean migrants in Britain. Public Health Nutrition 2001; 4: 765–72.CrossRefGoogle Scholar
22Black, AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. International Journal of Obesity and Related Metabolic Disorders 2000; 24: 1119–30.CrossRefGoogle Scholar
23Schofield, WN. Predicting basal metabolic rate, new standards and review of previous work. Human Nutrition. Clinical Nutrition 1985; 39(Suppl. 1): 5–41.Google ScholarPubMed
24Goldberg, GR, Black, AE, Jebb, SA, et al. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. European Journal of Clinical Nutrition 1991; 45: 569–81.Google ScholarPubMed
25Samaras, K, Kelly, PJ, Campbell, LV. Dietary underreporting is prevalent in middle-aged British women and is not related to adiposity (percentage body fat). International Journal of Obesity and Related Metabolic Disorders 1999; 23: 881–8.CrossRefGoogle Scholar
26Black, AE, Coward, WA, Cole, TJ, Prentice, AM. Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition 1996; 50: 72–92.Google ScholarPubMed
27Vinken, AG, Bathalon, GP, Sawaya, AL, Dallal, GE, Tucker, KL, Roberts, SB. Equations for predicting the energy requirements of healthy adults aged 18–81 y. American Journal of Clinical Nutrition 1999; 69: 920–6.CrossRefGoogle ScholarPubMed
28Horner, NK, Patterson, RE, Neuhouser, ML, Lampe, JW, Beresford, SA, Prentice, RL. Participant characteristics associated with errors in self-reported energy intake from the Women's Health Initiative food-frequency questionnaire. American Journal of Clinical Nutrition 2002; 76: 766–73.CrossRefGoogle ScholarPubMed
29World Bank. World Development Indicators. New York: World Bank, 2002.Google Scholar
30MacIntyre, UE, Venter, CS, Vorster, HH. A culture-sensitive quantitative food frequency questionnaire used in an African population: 2. Relative validation by 7-day weighed records and biomarkers. Public Health Nutrition 2001; 4: 63–71.CrossRefGoogle Scholar
31Winkvist, A, Persson, V, Hartini, TN. Underreporting of energy intake is less common among pregnant women in Indonesia. Public Health Nutrition 2002; 5: 523–9.CrossRefGoogle ScholarPubMed
32Szabo, CP. Eating attitudes among black South Africans. American Journal of Psychiatry 1999; 156: 981–2.CrossRefGoogle ScholarPubMed
33Lissner, L, Heitmann, BL, Bengtsson, C. Population studies of diet and obesity. British Journal of Nutrition 2000; 83(Suppl. 1): S21–4.CrossRefGoogle ScholarPubMed
34Heitmann, BL, Lissner, L, Osler, M. Do we eat less fat, or just report so? International Journal of Obesity and Related Metabolic Disorders 2000; 24: 435–42.CrossRefGoogle ScholarPubMed
35Hirvonen, T, Mannisto, S, Roos, E, Pietinen, P. Increasing prevalence of underreporting does not necessarily distort dietary surveys. European Journal of Clinical Nutrition 1997; 51: 297–301.CrossRefGoogle Scholar
36Sichieri, R. Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obesity Research 2002; 10: 42–8.CrossRefGoogle ScholarPubMed
37Popkin, BM. The nutrition transition and obesity in the developing world. Journal of Nutrition 2001; 131: 871S–3S.CrossRefGoogle ScholarPubMed
38Drewnowski, A, Popkin, BM. The nutrition transition: new trends in the global diet. Nutrition Reviews 1997; 55: 31–43.CrossRefGoogle ScholarPubMed
39Price, GM, Paul, AA, Cole, TJ, Wadsworth, ME. Characteristics of the low-energy reporters in a longitudinal national dietary survey. British Journal of Nutrition 1997; 77: 833–51.CrossRefGoogle Scholar
40Heitmann, BL. The influence of fatness, weight change, slimming history and other lifestyle variables on diet reporting in Danish men and women aged 35–65 years. International Journal of Obesity and Related Metabolic Disorders 1993; 17: 329–36.Google ScholarPubMed
41Luhrmann, PM, Herbert, BM, Neuhauser-Berthold, M. Underreporting of energy intake in an elderly German population. Nutrition 2001; 17: 912–6.CrossRefGoogle Scholar
42Pryer, JA, Vrijheid, M, Nichols, R, Kiggins, M, Elliott, P. Who are the ‘low energy reporters’ in the dietary and nutritional survey of British adults? International Journal of Epidemiology 1997; 26: 146–54.CrossRefGoogle ScholarPubMed
43Voss, S, Kroke, A, Klipstein-Grobusch, K, Boeing, H. Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC–Potsdam Study. European Prospective Investigation into Cancer and Nutrition. European Journal of Clinical Nutrition 1998; 52: 119–26.CrossRefGoogle ScholarPubMed
44Macdiarmid, JI, Vail, A, Cade, JE, Blundell, JE. The sugar–fat relationship revisited: differences in consumption between men and women of varying BMI. International Journal of Obesity and Related Metabolic Disorders 1998; 22: 1053–61.CrossRefGoogle ScholarPubMed
45Taaffe, DR, Thompson, J, Butterfield, G, Marcus, R. Accuracy of equations to predict basal metabolic rate in older women. Journal of the American Dietetic Association 1995; 95: 1387–92.CrossRefGoogle ScholarPubMed
46Henry, CJ, Rees, DG. New predictive equations for the estimation of basal metabolic rate in tropical peoples. European Journal of Clinical Nutrition 1991; 45: 177–85.Google ScholarPubMed
47Sanchez-Castillo, CP, Franklin, M, McNeill, G, de Lourdes Solano, M, Bonner, S, Lopez, N, et al. Are the proposed limits of energy intake : basal metabolic rate and dietary nitrogen : urinary nitrogen ratios suitable for validation of food intake? British Journal of Nutrition 2001; 85: 725–31.CrossRefGoogle ScholarPubMed
48Private Investment Organization of Jamaica. Jamaica Survey of Living Conditions, 1998. Kingston, Jamaica: Private Investment Organization of Jamaica, 2002.Google Scholar
49Calvert, C, Cade, J, Barrett, JH, Woodhouse, A. Using crosscheck questions to address the problem of mis-reporting of specific food groups on food frequency questionnaires. UKWCS Steering Group. United Kingdom Women's Cohort Study Steering Group. European Journal of Clinical Nutrition 1997; 51: 708–12.CrossRefGoogle ScholarPubMed
50Lindroos, AK, Lissner, L, Sjostrom, L. Does degree of obesity influence the validity of reported energy and protein intake? Results from the SOS Dietary Questionnaire. Swedish Obese Subjects. European Journal of Clinical Nutrition 1999; 53: 375–8.CrossRefGoogle ScholarPubMed