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Previdelli AN, Gómez G, Kovalskys I, Fisberg M, Cortés LY, Pareja RG, Liria MR, García MCY, Herrera-Cuenca M, Rigotti A, Guajardo V, Zimberg IZ, Murillo AG. Prevalence and determinants of misreporting of energy intake among Latin American populations: results from ELANS study. Nutr Res 2019; 68:9-18. [DOI: 10.1016/j.nutres.2019.05.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 02/14/2019] [Accepted: 05/22/2019] [Indexed: 11/25/2022]
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Moradi S, Pasdar Y, Hamzeh B, Najafi F, Nachvak SM, Mostafai R, Niazi P, Rezaei M. Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults. Clin Nutr Res 2018; 7:213-222. [PMID: 30079319 PMCID: PMC6073171 DOI: 10.7762/cnr.2018.7.3.213] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/20/2018] [Accepted: 07/24/2018] [Indexed: 11/19/2022] Open
Abstract
A precision instrument is required to assess the nutritional status. This study was conducted on comparison of 3 nutritional questionnaires to determine energy intake (EI) accuracy in adults in Ravansar Non-Communicable Chronic Disease (RaNCD) cohort study. This cross-sectional study was conducted on 118 of participant's RaNCD. EI was evaluated with 3 questionnaires including food frequency questionnaire (FFQ), 24-hours recall (24HR), and food habits questionnaire (FHQ). Resting metabolic rate (RMR) was measured using indirect calorimetry. We used EI/RMR cut off to evaluate EI reporting status. The mean ± standard deviation of age in men and women were 44.1 ± 6.5 and 43.7 ± 5.25 respectively and 50.8% of participants were men. Among 3 EI estimating questionnaires, FFQ was more accurate than 2 other questionnaires (67.8%). We observed that implausible reporters of 24HR were likely overweight (p < 0.005) but we did not observe a significant difference between EI reporting of FFQ and FHQ with participants' body composition. Our finding showed that EI underreporting of 24HR and FHQ were high. Under reporters were seemed to be overweight. Therefore, these results suggested that among 3 nutritional questionnaires the FFQ was an appropriate approach to determine EI in this population due to plausible EI reporting was higher than 2 other nutritional questionnaires (24HR and FHQ).
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Affiliation(s)
- Shima Moradi
- Student Research Committee, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Yahya Pasdar
- Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Behrooz Hamzeh
- Environmental Determinates of Health Research Center, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Farid Najafi
- Department of Epidemiology, School of Public Health, Communing Developmental and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Seyed Mostafa Nachvak
- Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Roghayeh Mostafai
- Student Research Committee, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Parisa Niazi
- Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Mansour Rezaei
- Departments of Biostatistics and Epidemiology, Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
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Maffeis C, Schutz Y, Fornari E, Marigliano M, Tomasselli F, Tommasi M, Chini V, Morandi A. Bias in food intake reporting in children and adolescents with type 1 diabetes: the role of body size, age and gender. Pediatr Diabetes 2017; 18:213-221. [PMID: 26990505 DOI: 10.1111/pedi.12376] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 01/15/2016] [Accepted: 02/11/2016] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND An assessment of total daily energy intake is helpful in planning the overall treatment of children with type 1 diabetes (T1D). However, energy intake misreporting may hinder nutritional intervention. AIMS To assess the plausibility of energy intake reporting and the potential role of gender, body mass index (BMI) z-score (z-BMI), disease duration and insulin requirement in energy intake misreporting in a sample of children and adolescents with T1D. METHODS The study included 58 children and adolescents aged 8-16 yr with T1D. Anthropometry, blood pressure and glycated hemoglobin (HbA1c) were measured. Subjects were instructed to wear a SenseWear Pro Armband (SWA) for 3 consecutive days, including a weekend day and to fill out with their parents a weighed dietary record for the same days. Predicted energy expenditure (pEE) was calculated by age and gender specific equations, including gender, age, weight, height and physical activity level (assessed by SWA). The percent reported energy intake (rEI)/pEE ratio was used as an estimate of the plausibility of dietary reporting. RESULTS Misreporting of food intake, especially under-reporting, was common in children and adolescents with T1D: more than one-third of participants were classified as under-reporters and 10% as over-reporters. Age, z-BMI and male gender were associated with the risk of under-reporting (model R2 = 0.5). Waist circumference was negatively associated with the risk of over-reporting (model R2 = 0.25). CONCLUSIONS Children and adolescents with T1D frequently under-report their food intake. Age, gender and z-BMI contribute to identify potential under-reporters.
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Affiliation(s)
- Claudio Maffeis
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Yves Schutz
- Department of Integrative Physiology, University of Fribourg, Fribourg, Switzerland
| | - Elena Fornari
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Marco Marigliano
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Francesca Tomasselli
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Mara Tommasi
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Veronica Chini
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
| | - Anita Morandi
- Pediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy
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Yamaguchi M, Steeves EA, Shipley C, Hopkins LC, Cheskin LJ, Gittelsohn J. Inconsistency between Self-Reported Energy Intake and Body Mass Index among Urban, African-American Children. PLoS One 2016; 11:e0168303. [PMID: 27977776 PMCID: PMC5158042 DOI: 10.1371/journal.pone.0168303] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 11/30/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND To prevent obesity, it is important to assess dietary habits through self-reported energy intake (EI) in children. We investigated how EI is associated with body mass index and which elements of dietary habits and status are associated with EI among African-American (AA) children. METHODS We assessed and included data from 218 10-14-year-old AA children in Baltimore, MD, USA. EI was calculated using a food frequency questionnaire. The basal metabolic rate (BMR) was used as the predicted minimal rate of energy expenditure of children. A fully adjusted multiple logistic regression was used to determine the prevalence of obesity (≥ 95th BMI-for-age percentile) among the quartiles of EI/BMR ratio using the third quartile for the reference. The differences in the age-adjusted mean EI/BMR among the categories of dietary habits, social support, and socio economic status were analyzed using a general linear model. RESULTS Children with the lowest EI/BMR had significantly higher adjusted odds ratio (aOR) of obesity as compared to those in the third quartile of EI/BMR (boys aOR 4.3; 95% confidence interval 1.08, 20 and girls aOR 4.1; 1.02, 21). In girls, the adjusted mean EI/BMR in the group that prepared food less than the means (3.8 times/week) was significantly lower than the group that prepared food over the means (P = 0.03). Further, the group that reported eating breakfast under 4 times/week indicated an adjusted mean EI/BMR lower than the group that ate breakfast over 5 times/week in both sexes. CONCLUSIONS When EI was under-reported with reference to BMR, we may observe high prevalence of obesity. Further, food preparation by children and frequent consumption of breakfast may instill food cognition with usual dietary habits. Therefore, holistic assessments including dietary habits are required to examine self-reported food intake especially among overweight/obese children.
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Affiliation(s)
- Miwa Yamaguchi
- Department of Nutritional Science, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Elizabeth Anderson Steeves
- Department of International Health, Global Obesity Prevention at Johns Hopkins, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Cara Shipley
- Department of International Health, Global Obesity Prevention at Johns Hopkins, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Laura C. Hopkins
- Department of International Health, Global Obesity Prevention at Johns Hopkins, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Lawrence J. Cheskin
- Department of International Health, Global Obesity Prevention at Johns Hopkins, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Joel Gittelsohn
- Department of International Health, Global Obesity Prevention at Johns Hopkins, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
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Bel-Serrat S, Julián-Almárcegui C, González-Gross M, Mouratidou T, Börnhorst C, Grammatikaki E, Kersting M, Cuenca-García M, Gottrand F, Molnár D, Hallström L, Dallongeville J, Plada M, Roccaldo R, Widhalm K, Moreno LA, Manios Y, De Henauw S, Leclercq C, Vandevijvere S, Lioret S, Gutin B, Huybrechts I. Correlates of dietary energy misreporting among European adolescents: the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study. Br J Nutr 2016; 115:1439-52. [PMID: 26888046 DOI: 10.1017/s0007114516000283] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
This study examined the correlates of dietary energy under-reporting (UR) and over-reporting (OV) in European adolescents. Two self-administered computerised 24-h dietary recalls and physical activity data using accelerometry were collected from 1512 adolescents aged 12·5-17·5 years from eight European countries. Objective measurements of height and weight were obtained. BMI was categorised according to Cole/International Obesity Task Force (IOTF) cut-off points. Diet-related attitudes were assessed via self-administered questionnaires. Reported energy intake (EI) was compared with predicted total energy expenditure to identify UR and OV using individual physical activity objective measures. Associations between misreporting and covariates were examined by multilevel logistic regression analyses. Among all, 33·3 % of the adolescents were UR and 15·6 % were OV when considering mean EI. Overweight (OR 3·25; 95 % CI 2·01, 5·27) and obese (OR 4·31; 95 % CI 1·92, 9·65) adolescents had higher odds for UR, whereas underweight individuals were more likely to over-report (OR 1·67; 95 % CI 1·01, 2·76). Being content with their own figures (OR 0·61; 95 % CI 0·41, 0·89) decreased the odds for UR, whereas frequently skipping breakfast (OR 2·14; 95 % CI 1·53, 2·99) was linked with higher odds for UR. Those being worried about gaining weight (OR 0·55; 95 % CI 0·33, 0·92) were less likely to OV. Weight status and psychosocial weight-related factors were found to be the major correlates of misreporting. Misreporting may reflect socially desirable answers and low ability to report own dietary intakes, but also may reflect real under-eating in an attempt to lose weight or real over-eating to reflect higher intakes due to growth spurts. Factors influencing misreporting should be identified in youths to clarify or better understand diet-disease associations.
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Affiliation(s)
- Silvia Bel-Serrat
- 1Growth, Exercise, Nutrition and Development (GENUD) Research Group,University of Zaragoza,Pedro Cerbuna 12,50009 Zaragoza,Spain
| | - Cristina Julián-Almárcegui
- 1Growth, Exercise, Nutrition and Development (GENUD) Research Group,University of Zaragoza,Pedro Cerbuna 12,50009 Zaragoza,Spain
| | - Marcela González-Gross
- 3ImFINE Research Group,Department of Health and Human Performance,Technical University of Madrid,Avenida Martín Fierro 7,28040 Madrid,Spain
| | - Theodora Mouratidou
- 1Growth, Exercise, Nutrition and Development (GENUD) Research Group,University of Zaragoza,Pedro Cerbuna 12,50009 Zaragoza,Spain
| | - Claudia Börnhorst
- 4Leibniz Institute for Prevention Research and Epidemiology-BIPS,Achterstr. 30,28359 Bremen,Germany
| | - Evangelia Grammatikaki
- 5Department of Public Health,Ghent University,P/A UZ 4K3,De Pintelaan 185,B-9000 Ghent,Belgium
| | - Mathilde Kersting
- 7Research Institute of Child Nutrition Dortmund,Heinstueck 11,D-44225 Dortmund,Germany
| | - Magdalena Cuenca-García
- 8Department of Physiology,School of Medicine,University of Granada,Avenida Madrid 11,18012 Granada,Spain
| | - Frederic Gottrand
- 10LIRIC UMR995, Faculté de Médecine,University of Lille 2,CHRU Lille,Bd Pr Leclercq,Hôpital Cardiologique,59037 Lille,France
| | - Dénes Molnár
- 11Department of Pediatrics,University of Pécs,József A 7,7623 Pécs,Hungary
| | - Lena Hallström
- 12Unit for Preventive Nutrition,Department of Biosciences and Nutrition,Karolinska Institutet,SE 141 57 Huddinge,Sweden
| | | | - Maria Plada
- 14Preventive Medicine & Nutrition Unit,University of Crete School of Medicine,Heraklion,Crete,GR-71003,Greece
| | - Romana Roccaldo
- 15Council for Agricultural Research and Economics (CREA),Research Center for Food and Nutrition,Via Ardeatina 546,00178 Rome,Italy
| | - Kurt Widhalm
- 16Division of Clinical Nutrition and Prevention,Department of Pediatrics,Medical University of Vienna,Währinger Gürtel 18-20,A-1090 Vienna,Austria
| | - Luis A Moreno
- 1Growth, Exercise, Nutrition and Development (GENUD) Research Group,University of Zaragoza,Pedro Cerbuna 12,50009 Zaragoza,Spain
| | - Yannis Manios
- 6Department of Nutrition and Dietetics,Harokopio University,70 El. Venizelou,Kallithea17671,Athens,Greece
| | - Stefaan De Henauw
- 4Leibniz Institute for Prevention Research and Epidemiology-BIPS,Achterstr. 30,28359 Bremen,Germany
| | - Catherine Leclercq
- 15Council for Agricultural Research and Economics (CREA),Research Center for Food and Nutrition,Via Ardeatina 546,00178 Rome,Italy
| | - Stefanie Vandevijvere
- 17Department of Public Health and Surveillance,Scientific Institute of Public Health,Rue Juliette Wytsmanstraat 14,1050 Brussels,Belgium
| | - Sandrine Lioret
- 19INSERM,UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS),Early ORigin of the Child's Health And Development Team (ORCHAD),16,avenue Paul Vaillant Couturier,94807 Villejuif Cedex,France
| | - Bernard Gutin
- 20Department of Pediatrics,Medical College of Georgia,1120 15th Street,BT-1852 Augusta,GA 30912,USA
| | - Inge Huybrechts
- 2Dietary Exposure Assessment (DEX) Group,International Agency for Research on Cancer,150 Cours Albert Thomas,69372 Lyon,France
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Increased eating frequency linked to decreased obesity and improved metabolic outcomes. Int J Obes (Lond) 2014; 39:136-41. [PMID: 24840081 DOI: 10.1038/ijo.2014.81] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Revised: 04/05/2014] [Accepted: 04/30/2014] [Indexed: 11/08/2022]
Abstract
BACKGROUND We previously reported that more frequent eating in overweight minority youth was linked to lower visceral adiposity and circulating triglycerides. The aim of this study was to examine this issue in more detail by assessing the relationship between eating frequency and adiposity and metabolic disease risk in a cohort of exclusively overweight Hispanic youth. METHODS This analysis included 191 overweight (⩾ 85th percentile body mass index (BMI)) Hispanic youth (8-18 years) with the following cross-sectional measures: height, weight, BMI, dietary intake via multiple 24 h recalls, body composition via dual-energy X-ray absorptiometry, lipids and insulin action (insulin sensitivity, acute insulin response (AIR) and disposition index, a measure of β-cell function) via a frequently sampled intravenous glucose tolerance test. Each eating occasion (EO) was defined as ⩾ 50 calories and ⩾ 15 min from any prior EO. Infrequent eaters (IEs) were classified as any subject who ate <3 EOs on any dietary recall (n = 32), whereas frequent eaters (FEs) always consumed ⩾ 3 EOs (n = 159). RESULTS Using analyses of covariance, FEs compared with IEs consumed 23% more calories per day (P ⩽ 0.01), ate 40% more often and consumed 19% less calories per EO (P ⩽ 0.01). FEs also exhibited 9% lower BMI Z-scores (P ⩽ 0.01), 9% lower waist circumferences (P ⩽ 0.01), 29% lower fasting insulin (P = 0.02), 31% lower HOMA-IR (Homeostatic Model Assessment: Insulin Resistance) values (P = 0.02) and 19% lower triglycerides (P ⩽ 0.01), as well as an 11% higher AIR (P = 0.02) and 31% higher disposition index (P=0.01). The following a priori covariates were included: Tanner, sex, body fat and reported energy intake. CONCLUSION These findings suggest that increased eating frequency is related to decreased obesity and metabolic disease risk in overweight Hispanic youth, despite increases in energy intake.
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The role of eating frequency on total energy intake and diet quality in a low-income, racially diverse sample of schoolchildren. Public Health Nutr 2014; 18:474-81. [PMID: 24780506 DOI: 10.1017/s1368980014000470] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The relationship of meal and snacking patterns with overall dietary intake and relative weight in children is unclear. The current study was done to examine how eating, snack and meal frequencies relate to total energy intake and diet quality. DESIGN The cross-sectional associations of eating, meal and snack frequencies with total energy intake and diet quality, measured by the Healthy Eating Index 2005 (HEI-2005), were examined in separate multivariable mixed models. Differences were examined between elementary school-age participants (9-11 years) and adolescents (12-15 years). SETTING Two non-consecutive 24 h diet recalls were collected from children attending four schools in the greater Boston area, MA, USA. SUBJECTS One hundred and seventy-six schoolchildren, aged 9-15 years. RESULTS Overall, 82% of participants consumed three daily meals. Eating, meal and snack frequencies were statistically significantly and positively associated with total energy intake. Each additional reported meal and snack was associated with an 18·5% and a 9·4% increase in total energy intake, respectively (P<0·001). The relationships of eating, meal and snack frequencies with diet quality differed by age category. In elementary school-age participants, total eating occasions and snacks increased HEI-2005 score. In adolescents, each additional meal increased HEI-2005 score by 5·40 points (P=0·01), whereas each additional snack decreased HEI-2005 score by 2·73 points (P=0·006). CONCLUSIONS Findings suggest that snacking increases energy intake in schoolchildren. Snacking is associated with better diet quality in elementary school-age children and lower diet quality in adolescents. Further research is needed to elucidate the role of snacking in excess weight gain in children and adolescents.
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