Prospective relationships between body weight and physical activity: an observational analysis from the NAVIGATOR study

David Preiss, Laine E Thomas, Daniel M Wojdyla, Steven M Haffner, Jason M R Gill, Thomas Yates, Melanie J Davies, Rury R Holman, John J McMurray, Robert M Califf, William E Kraus, NAVIGATOR Investigators, David Preiss, Laine E Thomas, Daniel M Wojdyla, Steven M Haffner, Jason M R Gill, Thomas Yates, Melanie J Davies, Rury R Holman, John J McMurray, Robert M Califf, William E Kraus, NAVIGATOR Investigators

Abstract

Objectives: While bidirectional relationships exist between body weight and physical activity, direction of causality remains uncertain and previous studies have been limited by self-reported activity or weight and small sample size. We investigated the prospective relationships between weight and physical activity.

Design: Observational analysis of data from the Nateglinide And Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) study, a double-blinded randomised clinical trial of nateglinide and valsartan, respectively.

Setting: Multinational study of 9306 participants.

Participants: Participants with biochemically confirmed impaired glucose tolerance had annual measurements of both weight and step count using research grade pedometers, worn for 7 days consecutively. Along with randomisation to valsartan or placebo plus nateglinide or placebo, participants took part in a lifestyle modification programme.

Outcome measures: Longitudinal regression using weight as response value and physical activity as predictor value was conducted, adjusted for baseline covariates. Analysis was then repeated with physical activity as response value and weight as predictor value. Only participants with a response value preceded by at least three annual response values were included.

Results: Adequate data were available for 2811 (30%) of NAVIGATOR participants. Previous weight (χ(2)=16.8; p<0.0001), but not change in weight (χ(2)=0.1; p=0.71) was inversely associated with subsequent step count, indicating lower subsequent levels of physical activity in heavier individuals. Change in step count (χ(2)=5.9; p=0.02) but not previous step count (χ(2)=0.9; p=0.34) was inversely associated with subsequent weight. However, in the context of trajectories already established for weight (χ(2) for previous weight measurements 747.3; p<0.0001) and physical activity (χ(2) for previous step count 432.6; p<0.0001), these effects were of limited clinical importance.

Conclusions: While a prospective bidirectional relationship was observed between weight and physical activity, the magnitude of any effect was very small in the context of natural trajectories already established for these variables.

Trial registration number: NCT00097786.

Keywords: EPIDEMIOLOGY; Nutrition

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

References

    1. Ng M, Fleming T, Robinson M et al. . Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766–81. 10.1016/S0140-6736(14)60460-8
    1. Church TS, Thomas DM, Tudor-Locke C et al. . Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS ONE 2011;6:e19657 10.1371/journal.pone.0019657
    1. Westerterp KR, Speakman JR. Physical activity energy expenditure has not declined since the 1980s and matches energy expenditures of wild mammals. Int J Obes (Lond) 2008;32:1256–63. 10.1038/ijo.2008.74
    1. Petersen L, Schnohr P, Sorensen TI. Longitudinal study of the long-term relation between physical activity and obesity in adults. Int J Obes Relat Metab Disord 2004;28:105–12. 10.1038/sj.ijo.0802548
    1. Bak H, Petersen L, Sorensen TI. Physical activity in relation to development and maintenance of obesity in men with and without juvenile onset obesity. Int J Obes Relat Metab Disord 2004;28:99–104. 10.1038/sj.ijo.0802525
    1. Ekelund U, Brage S, Besson H et al. . Time spent being sedentary and weight gain in healthy adults: reverse or bidirectional causality? Am J Clin Nutr 2008;88:612–17.
    1. Mortensen LH, Siegler IC, Barefoot JC et al. . Prospective associations between sedentary lifestyle and BMI in midlife. Obesity (Silver Spring) 2006;14:1462–71. 10.1038/oby.2006.166
    1. Celis-Morales CA, Perez-Bravo F, Ibanez L et al. . Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS ONE 2012;7:e36345 10.1371/journal.pone.0036345
    1. Califf RM, Boolell M, Haffner SM et al. . Prevention of diabetes and cardiovascular disease in patients with impaired glucose tolerance: rationale and design of the Nateglinide And Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) Trial. Am Heart J 2008;156:623–32. 10.1016/j.ahj.2008.05.017
    1. Holman RR, Haffner SM, McMurray JJ et al. . Effect of nateglinide on the incidence of diabetes and cardiovascular events. N Engl J Med 2010;362:1463–76. 10.1056/NEJMoa1001122
    1. McMurray JJ, Holman RR, Haffner SM et al. . Effect of valsartan on the incidence of diabetes and cardiovascular events. N Engl J Med 2010;362:1477–90. 10.1056/NEJMcp0909392
    1. Knowler WC, Barrett-Connor E, Fowler SE et al. . Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393–403. 10.1056/NEJMoa012512
    1. Tuomilehto J, Lindstrom J, Eriksson JG et al. . Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;344:1343–50. 10.1056/NEJM200105033441801
    1. Tudor-Locke C, Williams JE, Reis JP et al. . Utility of pedometers for assessing physical activity: convergent validity. Sports Med 2002;32:795–808. 10.2165/00007256-200232120-00004
    1. Lee IM, Djousse L, Sesso HD et al. . Physical activity and weight gain prevention. JAMA 2010;303:1173–9. 10.1001/jama.2010.312
    1. Ekelund U, Besson H, Luan J et al. . Physical activity and gain in abdominal adiposity and body weight: prospective cohort study in 288,498 men and women. Am J Clin Nutr 2011;93:826–35. 10.3945/ajcn.110.006593
    1. Luke A, Dugas LR, Ebersole K et al. . Energy expenditure does not predict weight change in either Nigerian or African American women. Am J Clin Nutr 2009;89:169–76. 10.3945/ajcn.2008.26630
    1. Levine JA, McCrady SK, Lanningham-Foster LM et al. . The role of free-living daily walking in human weight gain and obesity. Diabetes 2008;57:548–54. 10.2337/db07-0815
    1. Bonomi AG, Soenen S, Goris AH et al. . Weight-loss induced changes in physical activity and activity energy expenditure in overweight and obese subjects before and after energy restriction. PLoS ONE 2013;8:e59641 10.1371/journal.pone.0059641
    1. Apolzan JW, Bray GA, Smith SR et al. . Effects of weight gain induced by controlled overfeeding on physical activity. Am J Physiol Endocrinol Metab 2014;307:E1030–7. 10.1152/ajpendo.00386.2014
    1. Gill JM, Malkova D. Physical activity, fitness and cardiovascular disease risk in adults: interactions with insulin resistance and obesity. Clin Sci (Lond) 2006;110:409–25. 10.1042/CS20050207
    1. Steinmo S, Hagger-Johnson G, Shahab L. Bidirectional association between mental health and physical activity in older adults: Whitehall II prospective cohort study. Prev Med 2014;66:74–9. 10.1016/j.ypmed.2014.06.005

Source: PubMed

3
S'abonner