Longitudinal changes in the accuracy of reported energy intake in girls 10–15 y of age

Bandini, Linda G.; Must, Aviva; Cyr, Hélène; Anderson, Sarah; Spadano, Jennifer L.; Dietz, William H.

doi:10.1093/ajcn/78.3.480

Cited by 110 publications

(118 citation statements)

References 22 publications

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“…28 Adolescents are capable but often less interested, less motivated and less cooperative compared with younger children 29,30 and are likely to find recording their dietary intake inconvenient, irritating and tedious, 31,32 which will decrease compliance 32 and increase reporting error. 33 Although individual variation in ability exists, in general children aged X9 years are capable of accurately selfreporting their dietary intake. 29,34,35 A majority of the 10-year olds are aware of the foods they have eaten 29,34 and children as young as 8 years have been shown to accurately report frequency of food consumed at the end of a 35 Children o8 years cannot conceptualize frequency correctly 36 and need adult assistance to provide dietary information because of limited reading skills and vocabulary and in addition, adults largely control the food environment through the foods offered as well as timing and frequency of eating occasions.…”

Section: Factors That Affect Dietary Intakementioning

confidence: 99%

“…38 In adolescence these factors, along with higher energy requirements, create additional demands on the ability to accurately capture dietary intake. 32,36 When not at home, adolescents may forget or ignore food consumed and the lack of an acceptable method to measure or weigh foods may increase reporting errors 33,38 with adolescents reporting that they might alter their food intake to simplify recording. 28 Cognition Cognitive factors affecting the reporting of dietary intakes in this population include lower literacy skills, limited attention span, concept of time, memory, knowledge of food, food preparation methods and lack of familiarity with recipe components.…”

Section: Factors That Affect Dietary Intakementioning

confidence: 99%

“…22 A small number of published validation studies of children and adolescents aged 8-18 years have compared self-reported EI with TEE measured by DLW. [31][32][33]38,[73][74][75][76][77][78][79][80] A majority of these studies have been undertaken in healthy American populations in relatively small numbers. 31,33,38,73,74,76,78 Although studies are limited, there are some consistent issues arising, with implications for studies in healthy children and adolescents when self-reported intake is compared with DLW, as outlined below.…”

Section: Doubly Labelled Watermentioning

confidence: 99%

“…69,71,83,84 However, the collective conclusion is that there were large individual differences between TEE and parent-reported EI using 24-h multiple-pass recalls or food records and that these methods were more suitable for group and not individual estimates of EI. 69,71,[81][82][83][84][85] Doubly labelled water studies in older children and adolescents (8-18 years) have mostly been undertaken in conjunction with food records 32,33,38,73 and have consistently shown under-reporting in association with increasing age. Champagne et al 73 compared 8-day food records with DLW in 118 children aged 9-12 years.…”

Section: Doubly Labelled Watermentioning

confidence: 99%

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Measuring dietary intake in children and adolescents in the context of overweight and obesity

2009

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Dietary intake throughout childhood is a key determinant of growth and development and has an important role in both the prevention and treatment of childhood overweight and obesity. Although dietary intake assessment is fraught with challenges and limitations, reporting intake remains an important research outcome if dietary recommendations to promote healthy weight are to be refined. The aims of this paper are to review current dietary intake assessment methodologies for children, to identify their biases and provide guidance on how these can be addressed to improve reporting of dietary intakes of overweight children in the literature and to identify future research priorities. Knowledge of the methodological aspects of studies examining dietary intake a priori in the context of obesity will assist researchers in improving the quality of dietary data collected and reported and facilitate publication of both dietary intake and nutrition outcomes in the context of body weight. This will help to develop a strong evidence base against which to evaluate the effectiveness of nutrition interventions for both the prevention and treatment of pediatric obesity.

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Section: Factors That Affect Dietary Intakementioning

confidence: 99%

Section: Factors That Affect Dietary Intakementioning

confidence: 99%

Section: Doubly Labelled Watermentioning

confidence: 99%

Section: Doubly Labelled Watermentioning

confidence: 99%

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Measuring dietary intake in children and adolescents in the context of overweight and obesity

2009

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“…Self-reported intakes tend to be subject to underreporting bias and the underreporting of energy intake tends to be positively related to weight status. Underreporters also tend to weigh more (29,30). Doubly labeled water techniques assessing energy expenditure suggest underreporting results in a 10% to 50% underestimation of actual energy intake and is a significant problem in older children (31).…”

mentioning

confidence: 99%

Girls’ Dairy Intake, Energy Intake, and Weight Status

Fiorito¹,

Ventura²,

Mitchell³

et al. 2006

Journal of the American Dietetic Association

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We explored the relationships among girls' weight status, dairy servings, and total energy intake. The hypothesis that consuming dairy could reduce risk for overweight was evaluated by comparing energy intake and weight status of girls who met or consumed less than the recommended three servings of dairy per day. Participants included 172 11-year-old non-Hispanic white girls, assessed cross-sectionally. Intakes of dairy, calcium, and energy were measured using three 24-hour recalls. Body mass index and body fat measures from dual-energy x-ray absorptiometry were obtained. Because preliminary analyses suggested systematic underreporting of energy intake, the relationships among dairy servings and measures of weight status were examined for the total sample and for subsamples of under-, plausible, and overreporters. Data for the total sample provided support for the hypothesized relationship among weight status, dairy servings, and energy intake. Thirty-nine percent of girls reported consuming the recommended ≥3 servings of dairy per day; these girls also reported higher energy intake but had lower body mass index z scores and body fat than the girls who consumed fewer than three dairy servings each day. Among plausible reporters, no relationship between dairy intake and weight status was noted. This discrepancy may be attributable to a high percentage (45%) of overweight underreporters in the total sample. Our findings reveal that reporting bias, resulting from the presence of a substantial proportion of underreporters of higher weight status, can contribute to obtaining spurious associations between dairy intake and weight status. These findings underscore the need for randomly controlled trials to assess the role of dairy in weight management.The prevalence of pediatric obesity has been rising for more than 20 years (1). There is evidence that increased intake of dairy foods and calcium may play a significant role in maintaining a healthful weight and moderating body fat (2-15). However, results across studies have been inconsistent (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28), and this may be attributable to major challenges in using self-reported dietary intake data. Self-reported intakes tend to be subject to underreporting bias and the underreporting of energy intake tends to be positively related to weight status. Underreporters also tend to weigh more (29,30). Doubly labeled water techniques assessing energy expenditure suggest underreporting results in a 10% to 50% underestimation of actual energy intake and is a significant problem in older children (31). Doubly labeled water techniques are expensive and not feasible for large samples; thus, several methods have been developed that use estimated energy requirements to assess reporting bias (29,32). Therefore, in this study the method suggested by Huang and colleagues (29) was used to classify children as under-,

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Nutrient Intakes and Food Consumption Patterns Among Ontario Students in Grades Six, Seven, and Eight

Hanning

Woodruff

Lambraki

et al. 2007

Can J Public Health

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Background:The increased prevalence of overweight in Canadian children has stimulated interest in their lifestyle behaviours. The purpose of this research was to investigate dietary intake and food behaviours of Ontario students in grades six, seven, and eight.Methods: Males and females from grades six to eight were recruited from a stratified random selection of schools from Ontario. Data were collected using the web-based "Food Behaviour Questionnaire", which included a 24-hour diet recall and food frequency questionnaire. Nutrients were analyzed using ESHA Food Processor and the 2001 Canadian Nutrient File database. Body Mass Index (BMI) was calculated based on self-reported weight and height, and classified according to the Centers for Disease Control BMI for age percentiles. Results:The sample included males (n=315) and females (n=346) in grades 6, 7, and 8 from 15 schools in Ontario. According to Canada's Food Guide to Healthy Eating (CFGHE), median intakes were below recommendations for all participants, with the exception of meat and alternatives. Participants consumed a median of 54%, 15%, 31%, 11%, and 8% of total energy from carbohydrates, protein, total fat, saturated fat, and added sugars, respectively. Participants consumed 25% of total energy from foods from the "other" food group (CFGHE). Males had higher intakes of energy, carbohydrates, fat, saturated fat, monounsaturated fat, protein, thiamine, niacin, iron, and zinc than females (all p<0.05), and consumed more grain products servings (p<0.05). Conclusion:The high consumption of "other" foods, at the expense of nutrient-dense food groups, may ultimately be contributing to the increased weights in childhood and adolescence.

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Longitudinal changes in the accuracy of reported energy intake in girls 10–15 y of age

Abstract: Because of the decline in EI reporting accuracy with age, the use of EI data obtained from dietary records in adolescent girls will result in substantial underestimation of energy needs.

Cited by 110 publications

References 22 publications

Measuring dietary intake in children and adolescents in the context of overweight and obesity

Measuring dietary intake in children and adolescents in the context of overweight and obesity

Girls’ Dairy Intake, Energy Intake, and Weight Status

Nutrient Intakes and Food Consumption Patterns Among Ontario Students in Grades Six, Seven, and Eight

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