Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents

Livingstone, Barbara; Prentice, Andrew M.; Coward, W. A.; Strain, JJ; Black, A.; Davies, Peter S. W.; Stewart, Cristina; McKenna, P. G.; Whitehead, R. G.

doi:10.1093/ajcn/56.1.29

Cited by 353 publications

(311 citation statements)

References 21 publications

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“…Similar to other studies involving children in Canada, the United States and Europe, total EI was greater for boys than for girls in the present study (38)(39)(40) . The lack of differences in EI by age group could be partially explained by the greater under-reporting in the 14-18-year-olds (EI:BMR 5 1?2 (SD 0?6) than in the younger children (EI:BMR 5 1?4 (SD 0?6).…”

Section: Discussionsupporting

confidence: 89%

“…The lack of differences in EI by age group could be partially explained by the greater under-reporting in the 14-18-year-olds (EI:BMR 5 1?2 (SD 0?6) than in the younger children (EI:BMR 5 1?4 (SD 0?6). Similarly, Livingstone et al (39) found a divergence between the reported EI and total energy expenditure measured by doubly labelled water as age increased. .…”

Section: Discussionmentioning

confidence: 87%

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Emerging obesity and dietary habits among James Bay Cree youth

Khalil

Johnson‐Down

Egeland

2010

Public Health Nutr.

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Objective: To describe dietary habits and extent of overweight and obesity among Cree youth. Design: Dietary intake and habits were assessed by a 24 h recall and FFQ as part of a cross-sectional survey. Setting: Three Cree communities in northern Québec, Canada. Subjects: A total of 125 youth aged 9-18 years. Results: Overall 67?6 % of the study population was either at risk of overweight or overweight. Over 98 % had a usual saturated fat intake over 10 % of energy while 65 % had a lower consumption of fruit/vegetables and 95 % had a lower consumption of milk and milk products than recommended by Canada's Food Guide. The majority (96?8 %) consumed high-fat foods (.40 % of total energy as fat), which accounted for 39 % of total energy intake (EI). Similarly, 92?8 % consumed high-sugar food and beverages (.25 % of total energy as sugar), which accounted for 12?8 % of total EI. Furthermore, 95 % of the youth had a Healthy Eating Index (HEI) below the recommended score of 80 or above. Certain measures of diet quality (traditional food (TF) consumption, HEI and vegetables and fruit consumption) were significantly correlated with adiposity measures. Conclusions: A high prevalence of low-diet quality was found with a high degree of sugar and fat intake and a low consumption of vegetables/fruit and milk/milk alternates and any weekly TF. Dietary interventions are sorely needed.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 87%

Emerging obesity and dietary habits among James Bay Cree youth

Khalil

Johnson‐Down

Egeland

2010

Public Health Nutr.

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“…However, in a study by Prentice et al (1989), the energy intake measured with a 7 day weighted dietary records overestimated the energy expenditure measured with DLW in 14 geriatric patients. Similar ®ndings were noted for children when their intake was reported by their parents ( Livingstone et al, 1992). We also noted an overestimation of energy intake using the dietary record Table 6 Total water intake a (WI) and labeled water estimated water loss (WI) and in¯uence of body weight (BW) (n 31).…”

Section: Discussionsupporting

confidence: 71%

Validation of a dietary record routine in geriatric patients using doubly labelled water

2000

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Objective: To validate a 7-day estimated dietary record routine with standardized portion sizes and household measuring in a clinical setting with the doubly labelled water (DLW) method as the reference method. Design: Energy expenditure was measured with deuterium ( 2 H) and oxygen-18 ( 18 O), and water loss was estimated by 2 H dilution as part of the DLW measurements. Energy and water intake was measured with a 7 day dietary record. Setting: Five nursing home wards in Sweden. Subjects: Thirty-one geriatric patients with a mean age of 86 y. Inclusion criteria were stable body weight, de®ned as a maximum change of + 4% during the last 4 months of + 2% during the last 2 months and without any acute illness. Results: The mean daily energy intake was 7.2 MJ (1727 kcal) and the mean daily energy expenditure was 6.7 MJ (1595 kcal). The mean daily water intake was 1787 ml and mean daily water loss assessed by labelled water was 1774 ml. Using the dietary record routine, the staff overestimated the patients' energy intake by 8% and water intake from food and beverages by`1% compared to DLW. Conclusion: The 7 day dietary record routine based on standardized portion sizes and household measuring seems to be a valid method for assessing the intake of energy and¯uids by geriatric patients.

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“…Energy intakes were calculated as described above. Details of each dietary methodology are fully documented in the source references (Livingstone et al, 1990b(Livingstone et al, , 1992b). …”

Section: Energy Intakementioning

confidence: 99%

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

et al. 2003

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Objective: To identify adults and children as under-(UR), acceptable (AR), or over-reporters (OR) of energy intake (EI) using energy expenditure measured by doubly labelled water (DLW) (EE DLW ), and to use this as a reference to determine the sensitivity and specificity of (i) EE measured by heart rate (EE HR ), and (ii) the Goldberg cut-off technique for classifying subjects into the same categories. Design: Retrospective analysis of a dataset comprising concurrent measurements of EE DLW , EE HR , basal metabolic rate (BMR), and EI by weighed record (EI WR ) on 14 adults and 36 children. EI by diet history (EI DH ) was also measured in the children only. EI WR :EE DLW provided the reference definition of subjects as UR, AR or OR. Three strategies for classifying mis-reporters based on EE HR and Goldberg cut-offs were then explored. Sensitivity and specificity were calculated respectively as the proportion of UR and non-UR correctly identified.Results: Approximately 80% of all subjects were AR. For EI WR and EI DH respectively, the sensitivity of EE HR was 0.50 and 1.00, and specificity was 0.98 and 1.00. Although designating subjects as having low, medium or high activity levels (EE HR :BMR meas ) and calculating cut-offs based on appropriate WHO physical activity level PALs did not change sensitivity, specificity dropped to 0.98 (EI WR ) and 0.97 (EI DH ). Cut-offs based on a PAL of 1.55 reduced sensitivity to 0.33 (EI WR ) and 0.00 (EI DH ), but specificity remained unchanged. The sensitivity of all cut-offs based on physical activity level (PALs) for EI WR was 0.50 (adults) and 0.25 (children). Conclusions: If the precision of EE HR was improved, it may be useful for identifying mis-reporters of EI.

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Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents

Cited by 353 publications

References 21 publications

Emerging obesity and dietary habits among James Bay Cree youth

Emerging obesity and dietary habits among James Bay Cree youth

Validation of a dietary record routine in geriatric patients using doubly labelled water

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

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