PubMed Health⌕ Search

PubMed · 9017283

Obesity and physical activity.

Abstract

This paper discusses the epidemiological evidence linking obesity to physical activity. The underlying plausible hypothesis is that the feedback from energy expenditure to appetite may be weak at low levels of physical activity and that sedentary lifestyles therefore favour positive energy balance and weight gain. Obesity is widespread in developed countries and appears to have a marked secular trend. An analysis of time-budget surveys reveals that the time required for earning a living and domestic work has declined appreciably over recent decades. This negative secular trend is associated with a substantial decline in the energy spent on these activities. The contraction of work time has resulted in a converse expansion of free time, but the bulk of this is spent on passive leisure. Thus, at least for western societies, the overall energy expenditure has fallen for some decades and lifestyles have become increasingly more sedentary. The review of a large data set on energy expenditure under free-living conditions indicates that, despite their phenomenally diverse rates of obesity, there is no systematic difference between developed and developing societies. Multivariate regression analysis of body mass index on physical activity level (PAL) reveals a weak but statistically significant inverse relationship in men but not in women, and establishes that the risk of obesity increases sharply at a PAL of less than 1.80. In conclusion, a critical level of PAL has been identified, below which the chances of being overweight become substantial. The use of time is modelled contextually with its energy cost to show the extent to which energy expenditure may be modified. This has relevance from a policy standpoint, allowing a more focused approach for obesity prevention.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

A Ferro-Luzzi, L Martino. 1996. Obesity and physical activity.. https://doi.org/10.1002/9780470514962.ch13

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

LongCriSP: a test for bump hunting in longitudinal data.

We propose an extension of the Harezlak and Heckman (J. Comput. Graph. Statist. 2001; 10(4): 713-729) test for detecting local extrema to the longitudinal data setting. We use penalized spline regression techniques (Statist. Sci. 1996; 11:89-102) to provide a computationally efficient method of testing for relatively large data sets. We estimate the p-values of our test, LongCriSP, with a smoothed bootstrap. Our simulation studies indicate that the test is generally conservative and has power exceeding 70 per cent at the alpha = 0.1 nominal level in most considered settings. Finally, we apply our testing procedure to the longitudinal measurements of body mass index of former prisoners of war in Vietnam and conclude that the mean population curve exhibits non-monotone behaviour.

Body Mass Index↗

An estrogen metabolism-related polymorphism of the 17-alpha HSD gene is associated with perimenopausal body mass index.

In a cross-sectional study of 2,802 perimenopausal caucasian women, carriage of at least one mutated allele of the 17-alpha-hydroxysteroid dehydrogenase type 1 (17-alpha HSD) vlV A-->C single nucleotide polymorphism (SNP) was associated with a significantly increased body mass index (mean 24.3 +/- 4.4 kg/m(2) vs. 23.5 +/- 4.2 kg/m(2); P<.001), and obesity was more frequent among mutant allele carriers (P=.06; odds ratio 1.38; 95% confidence interval 0.97-1.95), providing evidence of 17-alpha HSD as a candidate gene of perimenopausal obesity.

Body Mass Index↗