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The most recent New Zealand Adult Nutrition Survey 2008/09 (ANS 08/9) revealed a decrease in reported energy intakes (EIs) compared with the previous 1997 National Nutrition Survey (NNS97). Conversely, measured body weights increased over the same period. We conducted an analysis on the ANS 08/9 data sets to evaluate reported EIs.Analysis was conducted on data from 3919 (1715 men and 2204 women agedor = 15 years) survey participants who completed the 24-h dietary recall in the ANS 08/9. Under-reporting was assessed using the ratio of reported EI to estimated resting metabolic rate (EI:RMRest), and a cutoff limit of0.9 (EI:RMRest) was used to identify low energy reporters (LERs). Results were examined by gender, body size, age and ethnicity.The mean EI:RMRest (s.e.m.) was 1.34 (0.02) for men, and 1.23 (0.02) for women. Overall, 21% of men and 25% of women were classified as LERs. There was a greater prevalence of LERs among people with overweight (25%), or obesity (30%) than people with normal body weight (16%, P0.001). The oldest age group (or =65 years) had a greater prevalence of LERs (33%) compared with all other age groups (19-24%, P0.001). Pacific people had a greater prevalence of LERs (33%) compared with Maori (26%, P=0.007) and European (23%, P0.001). Compared with the NNS97, a substantial increase in the prevalence of LERs was evident in most subgroups.Under-reporting of EI will continue to be a major limitation of nutrition surveys without technological innovation. Care should be taken when interpreting EI data.

Little objective information exists regarding which foods and meals are typically under-reported during retrospective self-reported dietary assessments. Automated wearable cameras record dietary behaviours in free-living settings and allow the context of under-reporting to be explored. As part of a study to validate image-assisted dietary assessment, 40 participants wore a wearable camera on days before three image-assisted 24-h dietary recalls. The foods and meals were typically under-reported, and the environmental and social contexts of under-reporting were assessed. Under-reporting occurred most frequently during afternoon snacks (75/265 foods), dinner (54/265 foods) and breakfast (44/265 foods). Snack foods were most frequently unreported during afternoon snacks, and condiments were most frequently under-reported at breakfasts. No clear pattern of social or environmental contexts for under-reporting was observed. Wearable cameras can identify when specific foods are likely to be under-reported during retrospective dietary assessments. Problematic foods and meals identified could be given additional attention during dietary assessments.

We applied three dietary assessment methods and aimed at obtaining a set of physical, social and psychological variables that can discriminate those individuals who did not underreport (‘never under-reporters’), those who underreported in one dietary assessment method (‘occasional under-reporters’) and those who underreported in two or three dietary assessment methods (‘frequent under-reporters’). Sixty-five women aged 18–57 years were recruited for this study. Total energy expenditure was determined by doubly labelled water, and energy intake was estimated by three 24-h diet recalls, 3-day food records and a food frequency questionnaire. A multiple discriminant analysis was used to identify which of those variables better discriminated the three groups: body mass index (BMI), income, education, social desirability, nutritional knowledge, dietary restraint, physical activity practice, body dissatisfaction and binge-eating symptoms. Twenty-three participants were ‘never under-reporters’. Twenty-four participants were ‘occasional under-reporters’ and 18 were ‘frequent under-reporters’. Four variables entered the discriminant model: income, BMI, social desirability and body dissatisfaction. According to potency indices, income contributed the most to the total discriminant power, followed in decreasing order by social desirability score, BMI and body dissatisfaction. Income, social desirability and BMI were the characteristics that mainly separated the ‘never under-reporters’ from the under-reporters (occasional or frequent). Body dissatisfaction better discriminated the ‘occasional under-reporters’ from the ‘frequent under-reporters’. ‘Frequent under-reporters’ have a greater BMI, social desirability score, body dissatisfaction score and lower income. These four variables seemed to be able to discriminate individuals who are more prone to systematic under reporting.

To investigate if eating habits among adolescents are related to body fatness and gender. Cross-sectional study. Obesity Unit, Huddinge University Hospital, Sweden, 2001–2002. Two hundred and seventy-five girls and 199 boys, aged 16–17 years. Questionnaires were used for dietary intake and meal frequency, BodPod for measuring body fatness (BF%). In all, 169 girls and 128 boys were classified as adequate reporters (AR) of energy intake, and were used in the dietary analyses. The whole sample was used in the meal frequency analyses. The correlation between reported energy intake and weight in the AR group was 0.23 (P