Associations between BMI, social strata and the estimated energy content of foods

Speakman, John R.; Walker, Heather; Walker, L. G.; Jackson, Diana

doi:10.1038/sj.ijo.0803018

Cited by 21 publications

(21 citation statements)

References 21 publications

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“…However, Speakman et al (2005) argue that these campaigns are likely to be ineffective "if people in lower social strata already know what foods have high energy contents, but fail to act on this information", suggesting that health promotion would mostly help those who have a higher level of education. However, very limited empirical evidence exists concerning the effects of health education programmes, and virtually none is available on differences in effectiveness between socio-economic groups.…”

Section: Policy Implicationsmentioning

confidence: 99%

“…Education provides individuals with better access to information and improved critical thinking skills. Speakman et al (2005) hypothesised that the lack of education about energy content of food may contribute to the effects of social class on obesity. Results from their study show that on average, non-obese individuals in the lower social class group have better food knowledge than those who are obese in the same group.…”

Section: Existing Evidence On the Relationship Between Education And mentioning

confidence: 99%

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Exploring the Relationship Between Education and Obesity

Devaux

Sassi

Church

et al. 2011

OECD Journal: Economic Studies

125

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An epidemic of obesity has been developing in virtually all OECD countries over the last 30 years. Existing evidence provides a strong suggestion that such an epidemic has affected certain social groups more than others. In particular, a better education appears to be associated with a lower likelihood of obesity, especially among women. This paper sheds light on the nature and the strength of the correlation between education and obesity. Analyses of health survey data from Australia, Canada, England, and Korea were undertaken with the aim of exploring this relationship. Social gradients in obesity were assessed across the entire education spectrum, overall and in different population sub-groups. Furthermore, investigations testing for mediation effects and for the causal nature of the links observed were undertaken to better understand the underlying mechanisms of the relationship between education and obesity.obesity, education, social disparities, mediation effect

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Section: Policy Implicationsmentioning

confidence: 99%

Section: Existing Evidence On the Relationship Between Education And mentioning

confidence: 99%

Exploring the Relationship Between Education and Obesity

Devaux

Sassi

Church

et al. 2011

OECD Journal: Economic Studies

125

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“…Rather than being asked to estimate an exact value for energy content, as has been done in previous studies (10,11,13,17) , participants in the current study entered their energy estimations using a Guideline Daily Amount (GDA) format which consisted of a visual scale showing a 9000 kJ GDA. This scale had 48 points; the minimum value that could be indicated was 225 kJ and the maximum was 10 800 kJ (120 % of the daily intake; Fig.…”

Section: Portion Size Measuresmentioning

confidence: 99%

“…The unstandardised value indicated that each 1000 kJ increment in energy error was associated with a 127 (SE 45) kJ increase in intake. Given the potential importance of BMI in predicting general nutrition knowledge (13) , the models predicting energy error were re-run, including BMI, for the subset of people who indicated confidence in their weights and heights (145 males, 262 females). Despite the inclusion of BMI, the models predicting energy error were not significant in both males and females.…”

Section: Relationship Between Energy Error Demographics and Behaviourmentioning

confidence: 99%

“…Dieters, who need to be aware of energy content in order to monitor their intake and to meet their dietary restrictions, appear to be more accurate in calorie estimation tasks (11) as well as being frequent users of nutrition labels (12) . In a study in the UK, members of the public estimated the number of calories in twelve different food items (13) . The estimations made by consumers were close to the actual amounts, when averaged, but highly variable.…”

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confidence: 99%

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Perceptions of portion size and energy content: implications for strategies to affect behaviour change

Brindal

Wilson

Mohr

et al. 2011

Public Health Nutr.

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Objective: To assess Australian consumers' perception of portion size of fast-food items and their ability to estimate energy content. Design: Cross-sectional computer-based survey. Setting: Australia. Subjects: Fast-food consumers (168 male, 324 female) were asked to recall the items eaten at the most recent visit to a fast-food restaurant, rate the prospective satiety and estimate the energy content of seven fast-food or 'standard' meals relative to a 9000 kJ Guideline Daily Amount. Nine dietitians also completed the energy estimation task. Results: Ratings of prospective satiety generally aligned with the actual size of the meals and indicated that consumers perceived all meals to provide an adequate amount of food, although this differed by gender. The magnitude of the error in energy estimation by consumers was three to ten times that of the dietitians. In both males and females, the average error in energy estimation for the fast-food meals (females: mean 3911 (SD 1998) kJ; males: mean 3382 (SD 1957) kJ) was significantly (P , 0?001) larger than for the standard meals (females: mean 2607 (SD 1623) kJ; males: mean 2754 (SD 1652) kJ). In women, error in energy estimation for fast-food items predicted actual energy intake from fast-food items (b 5 0?16, P , 0?01). Conclusions: Knowledge of the energy content of standard and fast-food meals in fast-food consumers in Australia is poor. Awareness of dietary energy should be a focus of health promotion if nutrition information, in its current format, is going to alter behaviour.

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