The objectives of this study were 1) to examine interrelations among intraabdominal adipose tissue (IAAT) and other adiposity indexes, 2) to identify a visceral obesity index that is independent of total adiposity, and 3) to examine sex and ethnic (white compared with African American) differences in IAAT. We measured IAAT and subcutaneous abdominal adipose tissue (SAAT) using computed tomography, and total fat mass (FM) by dual-energy X-ray absorptiometry in a heterogenous sample of 101 children aged 7.7 +/- 1.6 y weighing 33.2 +/- 12.6 kg. IAAT was highly variable (mean +/- SE; 31 +/- 22 cm2; range: 7-107 cm2) and related to SAAT (r = 0.87) and FM (r = 0.81). The regression slope between IAAT and SAAT was significantly lower in African Americans (0.17 +/- 0.02 cm2 IATT/cm2 SAAT) than in whites (0.23 +/- 0.02 cm2 IAAT/cm2 SAAT). Within each ethnic group there was no effect of sex on IAAT adjusted for SAAT (mean +/- SE: 40.2 +/- 3.1 and 43.2 +/- 2.7 cm2 in white boys and girls, respectively; 26.4 +/- 1.9 and 25.1 +/- 1.6 cm2 in African American boys and girls, respectively). We conclude that in children 1) there is wide variation in visceral fatness; 2) IAAT relative to SAAT is an index of visceral fat, independent of FM, allowing examination of the unique effects of IAAT; and 3) the relative distribution of adipose tissue in the intraabdominal compared with the subcutaneous abdominal region is significantly lower in African Americans than in whites.
The way that people communicate, consume media and seek and receive information is changing. Forty per cent of the world's population now has an internet connection, the average global social media penetration is 39 % and 1·5 billion people have internet access via mobile phone. This large-scale move in population use of digital, social and mobile media presents an unprecedented opportunity to connect with individuals on issues concerning health. The present paper aims to investigate these opportunities in relation to dietary behaviour change. Several aspects of the digital environment could support behaviour change efforts, including reach, engagement, research, segmentation, accessibility and potential to build credibility, trust, collaboration and advocacy. There are opportunities to influence behaviour online using similar techniques to traditional health promotion programmes; to positively affect health-related knowledge, skills and self-efficacy. The abundance of data on citizens' digital behaviours, whether through search behaviour, global positioning system tracking, or via demographics and interests captured through social media profiles, offer exciting opportunities for effectively targeting relevant health messages. The digital environment presents great possibilities but also great challenges. Digital communication is uncontrolled, multi-way and co-created and concerns remain in relation to inequalities, privacy, misinformation and lack of evaluation. Although web-based, social-media-based and mobile-based studies tend to show positive results for dietary behaviour change, methodologies have yet to be developed that go beyond basic evaluation criteria and move towards true measures of behaviour change. Novel approaches are necessary both in the digital promotion of behaviour change and in its measurement.Social media: Digital communications: Behaviour change: Health communications:Mobile healthThe way that people communicate with each other, consume media and seek and receive information has changed dramatically. Newspaper readership is falling, radio listenership fragmenting (2) and people time shift their television viewing, skipping advertising (3) . Forty per cent of the world's population now has an internet connection compared with <1 % in 1995. This number is set to reach 43 % (3 billion) by the end of 2014 (4) . Average global social media penetration is 39 %, ranging from 82 % in Canada to 12 % in India (5) . One and a halfbillion people have relatively fast access to the internet from their mobile phone (5) . This large-scale move in population use of digital, social and mobile media presents an unprecedented opportunity to connect with individuals on issues concerning health and behaviour change and to weave health information into the daily lives of citizens. The present paper aims to investigate this in relation to dietary behaviour change, drawing on examples from both nutrition and food safety. It includes an exploration of the scientific and grey literature and relevant websites, comb...
OBJECTIVE:This study compared lean children at high risk (HR) and low risk (LR) of obesity and obese children (OB) to assess the relationship between their energy (EI) and fat intake and adiposity. DESIGN: Cross-sectional study of energy and fat intake in children, using 7-day weighed intakes validated by doubly labelled water (DLW) energy expenditure. SUBJECTS: A total of 114 pre-pubertal children, 50 HR (mean AE s.d., 6.7 AE 0.6 y, 25.7 AE 4.8 kg, 21.3 AE 6.6% body fat), 50 LR (mean AE s.d., 6.6 AE 0.8 y, 23.6 AE 3.7 kg, 18.9 AE 5.7% body fat) and 14 OB (mean AE s.d., 6.8 AE 1.0 y, 37.7 AE 5.3 kg, 34.8 AE 5.6% body fat). MEASUREMENTS: Body fatness was measured using deuterium dilution, total energy expenditure (TEE) by DLW and dietary intake using 7-day weighed records. RESULTS: EI was 98% of TEE in LR children, 95% in HR children and 86% in OB children. Although EI was similar in each group (LR, 7.03 AE 1.26 MJ=day; HR, 7.30 AE 1.46 MJ=day; OB, 7.55 AE 1.67 MJ=day), obese children consumed more fat in absolute (g) and relative (percentage energy) terms than LR children (LR, 68 AE 13 g, 36.4 AE 4.2%; OB, 80 AE 25 g, 39.5 AE 4.6%; P < 0.05). There was a significant linear trend towards increasing fat intake (percentage energy) with increasing risk of obesity (P < 0.05). While HR children were heavier and fatter than LR children (P < 0.05), their EI and fat intake were not significantly greater (HR, 73 AE 17 g, 37.3 AE 4.4%). Dietary fat intake (percentage energy) was weakly but significantly related to body fatness (r 2 ¼ 0.05, P ¼ 0.02) by step-wise regression. Since energy from fat was the only macronutrient that was a significant predictor of body fatness, results were therefore analysed using quartiles of fat intake (percentage energy) as cut-offs. When grouped in this way children with the lowest intakes were leaner than those with the highest intakes (19.5 AE 7.5 vs 24.9 AE 9.4% body fatness; P < 0.05). There was a significant trend for increasing fatness as fat intake increased (P < 0.05). CONCLUSION: Fat intake is related to body fatness in childhood.
This study investigates parents' ability to correctly classify their child's weight status. The influence of parent and child socio-demographic and lifestyle factors on parental misclassification of their child's weight status is explored. A representative sample of Irish children (aged 5-12 (n = 596) years, aged 13-17 years (n = 441)) and their parents (n = 1885) were recruited to participate in a national dietary survey. Parental perceptions of their child's weight and their own weight were measured. Anthropometric measurements (weight and height) were objectively measured for parents and children. Body Mass Index (BMI) scores were derived and categorised as normal, overweight or obese using standard references. Over 80% of parents of overweight boys and 79.3% of parents of overweight girls reported their child's weight was fine for his/her height and age. Furthermore, 44.4% of parents of obese boys and 45.3% of parents of obese girls felt their child's weight was fine for their height and age. Parents were significantly less likely to be correct about their sons' weight status and more likely to be correct the older the child. Parents were over 86% less likely to be correct about their child's weight if their child was overweight and approximately 59% less likely to be correct if the child was obese, compared to parents of normal weight children. This research suggests that parents are failing to recognise overweight and obesity in their children with factors such as parental weight status, child's age and gender influencing this.
This study sampled 2872 obesity-relevant comments from three years of interest from a multi-topic online message board. An inductive thematic analysis was conducted and three themes were evident: reactions and responses to obesity and obese bodies, diminished status of overweight/obese persons, and narrative resistance to an overweight/obese identity. Obesity stigma was pervasive and the discussion of the issue revealed it to be highly acceptable. Consistent with previous research, dominant representations of obese persons as lazy and unintelligent with poor self-control were evident. The analysis provided valuable insight into experiences of explicit stigma, the social and psychological repercussions of overt stigma and norms regarding the perception of obese bodies. There was a prevailing notion that the opinions and insights of overweight and obese persons on the issue of weight were not credible and were perceived as biased. Furthermore, individuals sought to distance themselves from the undesirable labels of 'overweight' and 'obese' by enacting narrative resistance to negotiate the social meaning of excess weight and endeavouring to place themselves on the 'safe' side of this boundary. These results highlight the pervasive nature of weight stigma and the social acceptability of such attitudes and beliefs. Furthermore, it highlights the richness of data that may be obtained by examining social media interactions as a window into the naturally-occurring discourse on obesity and stigma.
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