Estimating Changes in Daily Physical Activity Levels over Time: Implication for Health Interventions from a Novel Approach

Abstract

The aim of this study was to use a novel method to examine and compare physical activity levels in four different groups of men to investigate the impact of modernity on activity levels. Physical activity levels of four different groups of men were measured and compared, using a tri-axial accelerometer (Tracmor). The first group (HA = historically active) were actors in a historical theme park who play the part of Australian settlers 150 years ago, the second were sedentary modern-day office workers (MS = modern sedentary), the third men who had successfully lost weight (SWL) in a modern men's weight loss program and the last, men who were unsuccessful (UWL) in the same program. Men who had successfully lost weight in a weight loss program were active at a level similar to that of men performing activity at a level carried out historically. Both of these groups were in turn significantly more active than modern-day sedentary workers (p < 0.05) and men who had not been successful at losing weight (p < 0.01). A linear regression between weekly average activity levels and the degree of waist size loss showed a significant positive association (r = 0.52, p < 0.01). The data suggest that a higher activity level facilitates the maintenance of long-term weight loss and this level is likely to approximate activity levels in the past. For the prevention and treatment of obesity an increase in physical activity is necessary, because (long-term) weight loss or weight maintenance is unlikely to occur when people are as sedentary as most people are today.

Key words

Physical activity - accelerometry - health intervention - weight loss

References

• 1 Ainsworth B E, Haskell W L, Whitt M C, Irwin M L, Swartz A M, Strath S J, O'Brien W L, Bassett Jr D R, Schmitz K H, Emplaincourt P O, Jacobs Jr D R, Leon A S. Compendium of physical activities: an update of activity codes and MET intensities.  Med Sci Sports Exerc. 2000;  32 498-504
• 2 Bjorntorp P, Rosmond R. Hypothalamic origin of the metabolic syndrome X.  Ann N Y Acad Sci. 1999;  892 297-307
• 3 Bowden S, Offer A. Household appliances and the use of time: the United States and Britain since the 1920s.  Economic History Review. 1994;  47 725-748
• 4 Colditz G, Mariani A. (eds) .The Cost of Obesity and Sedentarism in the United States. Champaign; Human Kinetics 2000
• 5 Cordain L, Gotshall R W, Eaton S B, Eaton 3rd S B. Physical activity, energy expenditure and fitness: an evolutionary perspective.  Int J Sports Med. 1998;  19 328-335
• 6 Egger G, Bolton A, O'Neill M, Freeman D. Effectiveness of an abdominal obesity reduction programme in men: the GutBuster “waist loss” programme.  Int J Obes Relat Metab Disord. 1996;  20 227-231
• 7 Hayes M. Physical activity in mammals.  Am J Clin Nutr. 2002;  2 369
• 8 Hodge A M, Dowse G K, Koki G, Mavo B, Alpers M P, Zimmet P Z. Modernity and obesity in coastal and highland Papua New Guinea.  Int J Obes Relat Metab Disord. 1995;  19 154-161
• 9 James W P. A public health approach to the problem of obesity.  Int J Obes Relat Metab Disord. 1995;  19 37-45
• 10 Movahedi A. Simple formula for calculating basal energy expenditure.  Nutr Res. 1999;  19 989-995
• 11 Prentice A, Jebb S. (eds) .Physical Activity Level and Weight Control in Adults. Champaign; Human Kinetics 2000
• 12 Seidell J C. (ed) .The Burden of Obesity and its Sequelae. Philadelphia; Adis International 1999
• 13 Tudor-Locke C E, Myers A M. Challenges and opportunities for measuring physical activity in sedentary adults.  Sports Med. 2001;  31 91-100
• 14 Westerterp K R. Pattern and intensity of physical activity.  Nature. 2001;  410 539
• 15 WHO . Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. 2000 i - xii: 1-253