scholarly journals Energy balance and obesity: a UK perspective on the gluttonyv.sloth debate

2013 ◽  
Vol 26 (2) ◽  
pp. 89-109 ◽  
Author(s):  
D. Joe Millward

Obesity in the UK was assumed to have developed against a population decline in physical activity, with health messages focused on diet and exercise prevention strategies. Doubly-labelled water (DLW) studies of energy expenditure have indicated the alternative scenario that the increased obesity prevalence reflects excessive food energy intake with physical activity levels unchanged. This analysis is questionable, deriving in part from a weakness of the DLW methodology in identifying changing physical activity levels within populations of increasing body weight. This has resulted in an underestimation of the reduction in physical activity in the overweight and obese, as revealed by direct studies of such behaviour. Furthermore, a close examination of food energy supply, household food purchases and individual food energy consumption since 1955, in relation to likely estimates of current intakes indicated by simple modelling of predicted energy expenditure, identifies: (a) food energy supply as markedly overestimating energy intakes; (b) individual food energy consumption as markedly underestimating energy intakes; and (c) household food purchase data as the closest match to predicted current food energy intakes. Energy intakes indicated by this latter method have fallen by between 20 to 30 %, suggesting comparable falls in physical activity. Although unequivocal evidence for a matching UK trend in falling physical activity is limited, as is evidence that obesity follows reductions in physical activity, such a link has been recently suggested in a large prospective study in adolescents. Thus, for the UK, obesity has developed within a ‘move less–eat somewhat less but still too much’ scenario. A focus on both diet and exercise should remain the appropriate public health policy.

2007 ◽  
Vol 15 (3) ◽  
pp. 318-335 ◽  
Author(s):  
Jill Dawson ◽  
Melvyn Hillsdon ◽  
Irene Boller ◽  
Charlie Foster

The authors investigated whether low levels of walking among older adults in the UK were associated with demographic and health characteristics, as well as perceived environmental attributes. Survey data were obtained from self-administered standard questionnaires given to 680 people age 50+ (mean age 64.4 yr) attending nationally led walking schemes. Items concerned with demographic characteristics and perceived barriers to neighborhood walking were analyzed using multiple logistic regression. Citing more than 1 environmental barrier to walking, versus not, was associated with significantly reduced levels of (leisure) walking (MET/hr) in the preceding week (Z = –2.35, p = .019), but physical activity levels overall did not differ significantly (Z = –0.71, p = .48). Citing a health-related barrier to walking significantly adversely affected overall physical activity levels (Z = –2.72, p = .006). The authors concluded that, among older people who favor walking, health problems might more seriously affect overall physical activity levels than perceived environmental barriers.


Author(s):  
Shari Eli ◽  
Nicholas Li

Abstract Total energy expenditures for the Indian population between 1983 and 2012 are estimated to shed light on the debate concerning falling measured caloric intake during the period (A. Deaton and J. Drèze. 2009. “Food and Nutrition in India: Facts and Interpretations.” Economic and Political Weekly 44(7): 42–65). Anthropometric, time-use, and detailed employment surveys are used to estimate the separate components of total energy expenditure related to metabolism and physical activity levels. Despite a significant drop in adult physical activity levels, total energy expenditures are flat overall between 1983 and 2012. Rising metabolic requirements due to increases in weight dampened the effect of falling activity levels on total energy expenditure. In addition, the 10 percent decline in the population share of children in the period raised average total energy expenditures considerably as children have much lower metabolic requirements and activity levels than adults.


Author(s):  
Jin Luo ◽  
Raymond Y. W. Lee

AbstractPhysical activity brings significant health benefits to middle-aged adults, although the research to date has been focused on late adulthood. This study aims to examine how ageing affects the self-reported and accelerometer-derived measures of physical activity levels in middle-aged adults. We employed the data recorded in the UK Biobank and analysed the physical activity levels of 2,998 participants (1381 men and 1617 women), based on self-completion questionnaire and accelerometry measurement of physical activity. We also assessed the musculoskeletal health of the participants using the dual-energy X-ray absorptiometry (DXA) measurements provided by the UK Biobank. Participants were categorised into three groups according to their age: group I younger middle-aged (40 to 49 years), group II older middle-aged (50 to 59 years), and group III oldest middle-aged (60 to 69 years). Self-reported physical activity level increased with age and was the highest in group III, followed by group II and I (P < 0.05). On the contrary, physical activity measured by accelerometry decreased significantly with age from group I to III (P < 0.05), and the same pertained to the measurements of musculoskeletal health (P < 0.05). It was also shown that middle-aged adults mostly engaged in low and moderate intensity activities. The opposing trends of the self-reported and measured physical activity levels may suggest that middle-aged adults over-report their activity level as they age. They should be aware of the difference between their perceived and actual physical activity levels, and objective measures would be useful to prevent the decline in musculoskeletal health.


Author(s):  
Vipul Lugade ◽  
Emma Fortune ◽  
Melissa Morrow ◽  
Kenton Kaufman

Recording body accelerations has been investigated previously to monitor health, metabolic energy expenditure, postural sway and falls [1]. Activity monitoring and the subsequent analysis of the accelerometry data have also proven useful in detecting physical activity levels among Parkinson’s [2] and osteoarthritis patients [3].


2014 ◽  
Vol 26 (2) ◽  
pp. 121-123 ◽  
Author(s):  
David Thivel ◽  
Pascale Duché

Although physical activity is primarily considered for its effects on energy expenditure for prevention and treatment of both overweight and obesity, its role in the regulation and control of energy balance seems more complex. Not only does physical activity affect energy expenditure, it also leads to modifications in energy intake and appetite that have been identified in children and that should be considered for weight loss. It also appears that it may not systematically favor increased energy expenditure due to individual differences in compensatory responses. This brief paper summarizes the pediatric evidence regarding those potential compensatory responses to physical activity and suggests that these compensatory responses of increasing physical activity levels may depend on children’s adiposity status.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Sarah A. Elliott ◽  
Kimberley A. Baxter ◽  
Peter S. W. Davies ◽  
Helen Truby

Introduction.Self-reported measures of habitual physical activity rely completely on the respondent’s ability to provide accurate information on their own physical activity behaviours. Our aim was to investigate if obese adolescents could accurately report their physical activity levels (PAL) using self-reported diaries.Methods.Total energy expenditure (TEE) was measured using doubly labelled water (DLW) and resting energy expenditure (REE) was measured via indirect calorimetry. Activity energy expenditure (AEE) and PAL values were derived from measured TEE and REE. Self-reported, four-day activity diaries were used to calculate daily MET values and averaged to give an estimated PAL value (ePAL).Results.Twenty-two obese adolescents, mean age13.2±1.8years, mean BMI31.3±4.6 kg/m2, completed the study. No significant differences between mean measured and estimated PAL values were observed (1.37±0.13versus1.40±0.34,P=0.74). Bland Altman analysis illustrated a significant relationship (r=-0.76,P<0.05) between the two methods; thus the bias was not consistent across a range of physical activity levels, with the more inactive overreporting their physical activity.Conclusion.At an individual level, obese adolescents are unlikely to be able to provide an accurate estimation of their own activity.


2010 ◽  
Vol 105 (9) ◽  
pp. 1399-1404 ◽  
Author(s):  
Peter Scarborough ◽  
Melanie R. Burg ◽  
Charlie Foster ◽  
Boyd Swinburn ◽  
Gary Sacks ◽  
...  

There is debate over the casual factors for the rise in body weight in the UK. The present study investigates whether increases between 1986 and 2000 for men and women were a result of increases in mean total energy intake, decreases in mean physical activity levels or both. Estimates of mean total energy intake in 1986 and 2000 were derived from food availability data adjusted for wastage. Estimates of mean body weight for adults aged 19–64 years were derived from nationally representative dietary surveys conducted in 1986–7 and 2000–1. Predicted body weight in 1986 and 2000 was calculated using an equation relating body weight to total energy intake and sex. Differences in predicted mean body weight and actual mean body weight between the two time points were compared. Monte Carlo simulation methods were used to assess the stability of the estimates. The predicted increase in mean body weight due to changes in total energy intake between 1986 and 2000 was 4·7 (95 % credible interval 4·2, 5·3) kg for men and 6·4 (95 % credible interval 5·9, 7·1) kg for women. Actual mean body weight increased by 7·7 kg for men and 5·4 kg for women between the two time points. We conclude that increases in mean total energy intake are sufficient to explain the increase in mean body weight for women between 1986 and 2000, but for men, the increase in mean body weight is likely to be due to a combination of increased total energy intake and reduced physical activity levels.


2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
James P DeLany ◽  
John M Jakicic ◽  
David E Kelley ◽  
Kazanna C Hames ◽  
Bret H Goodpaster

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