A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study

H. Besson, U. Ekelund, J. Luan, A. M. May, S. Sharp, N. Travier, A. Agudo, N. Slimani, S. Rinaldi, M. Jenab, T. Norat, T. Mouw, S. Rohrmann, R. Kaaks, M. Bergmann, H. Boeing, F. Clavel-Chapelon, M. C. Boutron-Ruault, K. Overvad, E. L. Andreasen & 27 others N. Føns Johnsen, J. Halkjaer, C. Gonzalez, L. Rodriguez, M. J. Sanchez, L. Arriola, A. Barricarte, C. Navarro, T. J. Key, E. A. Spencer, P. Orfanos, A. Naska, A. Trichopoulou, J. Manjer, E. Wirfält, E. Lund, D. Palli, C. Agnoli, P. Vineis, S. Panico, R. Tumino, H. B. Bueno-De-Mesquita, S. W. Van Den Berg, A. D. Odysseos, E. Riboli, N. J. Wareham, P. H. Peeters

Research output: Contribution to journalArticle

64 Citations (Scopus)

Abstract

Objectives: Cross-sectional data suggest a strong association between low levels of physical activity and obesity. The EPIC-PANACEA (European Prospective Investigation into Cancer-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating out of home And obesity) project was designed to investigate the associations between physical activity and body mass index (BMI) and waist circumference based on individual data collected across nine European countries. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 519 931 volunteers were recruited between 1992 and 2000, of whom 405 819 had data on main variables of interest. Height, body weight and waist circumference were measured using standardized procedures. Physical activity was assessed using a validated four-category index reflecting a self-reported usual activity during work and leisure time. The associations between physical activity and BMI and waist circumference were estimated using multilevel mixed effects linear regression models, adjusted for age, total energy intake, smoking status, alcohol consumption and educational level. Results: A total of 125 629 men and 280 190 women with a mean age of 52.9 (s.d. 9.7) and 51.5 (s.d. 10.0) years, respectively were included. The mean BMI was 26.6 kg/m 2 (s.d. 3.6) in men and 25.0 kg/m 2 (s.d. 4.5) in women. Fifty percent of men and 30% of women were categorized as being active or moderately active. A one-category difference in the physical activity index was inversely associated with a difference of 0.18 kg/m 2 in the mean BMI (95% confidence interval, CI, 0.11, 0.24) and 1.04-cm (95% CI 0.82, 1.26) difference in waist circumference in men. The equivalent figures for women were 0.31 kg/m 2 (95% CI 0.23, 0.38) and 0.90 cm (95% CI 0.71, 1.08), respectively. Conclusions: Physical activity is inversely associated with both BMI and waist circumference across nine European countries. Although we cannot interpret the association causally, our results were observed in a large and diverse cohort independently from many potential confounders.

Original languageEnglish
Pages (from-to)497-506
Number of pages10
JournalInternational Journal of Obesity
Volume33
Issue number4
DOIs
Publication statusPublished - Apr 2009

Fingerprint

Smoking Cessation
Waist Circumference
Obesity
Cross-Sectional Studies
Eating
Alcohols
Exercise
Body Mass Index
Neoplasms
Linear Models
Leisure Activities
Energy Intake
Alcohol Drinking
Volunteers
Smoking
Body Weight
Confidence Intervals

Keywords

  • BMI
  • Cross-sectional analysis
  • Europe
  • Physical activity
  • Waist circumference

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Endocrinology, Diabetes and Metabolism

Cite this

A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study. / Besson, H.; Ekelund, U.; Luan, J.; May, A. M.; Sharp, S.; Travier, N.; Agudo, A.; Slimani, N.; Rinaldi, S.; Jenab, M.; Norat, T.; Mouw, T.; Rohrmann, S.; Kaaks, R.; Bergmann, M.; Boeing, H.; Clavel-Chapelon, F.; Boutron-Ruault, M. C.; Overvad, K.; Andreasen, E. L.; Johnsen, N. Føns; Halkjaer, J.; Gonzalez, C.; Rodriguez, L.; Sanchez, M. J.; Arriola, L.; Barricarte, A.; Navarro, C.; Key, T. J.; Spencer, E. A.; Orfanos, P.; Naska, A.; Trichopoulou, A.; Manjer, J.; Wirfält, E.; Lund, E.; Palli, D.; Agnoli, C.; Vineis, P.; Panico, S.; Tumino, R.; Bueno-De-Mesquita, H. B.; Van Den Berg, S. W.; Odysseos, A. D.; Riboli, E.; Wareham, N. J.; Peeters, P. H.

In: International Journal of Obesity, Vol. 33, No. 4, 04.2009, p. 497-506.

Research output: Contribution to journalArticle

Besson, H, Ekelund, U, Luan, J, May, AM, Sharp, S, Travier, N, Agudo, A, Slimani, N, Rinaldi, S, Jenab, M, Norat, T, Mouw, T, Rohrmann, S, Kaaks, R, Bergmann, M, Boeing, H, Clavel-Chapelon, F, Boutron-Ruault, MC, Overvad, K, Andreasen, EL, Johnsen, NF, Halkjaer, J, Gonzalez, C, Rodriguez, L, Sanchez, MJ, Arriola, L, Barricarte, A, Navarro, C, Key, TJ, Spencer, EA, Orfanos, P, Naska, A, Trichopoulou, A, Manjer, J, Wirfält, E, Lund, E, Palli, D, Agnoli, C, Vineis, P, Panico, S, Tumino, R, Bueno-De-Mesquita, HB, Van Den Berg, SW, Odysseos, AD, Riboli, E, Wareham, NJ & Peeters, PH 2009, 'A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study', International Journal of Obesity, vol. 33, no. 4, pp. 497-506. https://doi.org/10.1038/ijo.2009.25
Besson, H. ; Ekelund, U. ; Luan, J. ; May, A. M. ; Sharp, S. ; Travier, N. ; Agudo, A. ; Slimani, N. ; Rinaldi, S. ; Jenab, M. ; Norat, T. ; Mouw, T. ; Rohrmann, S. ; Kaaks, R. ; Bergmann, M. ; Boeing, H. ; Clavel-Chapelon, F. ; Boutron-Ruault, M. C. ; Overvad, K. ; Andreasen, E. L. ; Johnsen, N. Føns ; Halkjaer, J. ; Gonzalez, C. ; Rodriguez, L. ; Sanchez, M. J. ; Arriola, L. ; Barricarte, A. ; Navarro, C. ; Key, T. J. ; Spencer, E. A. ; Orfanos, P. ; Naska, A. ; Trichopoulou, A. ; Manjer, J. ; Wirfält, E. ; Lund, E. ; Palli, D. ; Agnoli, C. ; Vineis, P. ; Panico, S. ; Tumino, R. ; Bueno-De-Mesquita, H. B. ; Van Den Berg, S. W. ; Odysseos, A. D. ; Riboli, E. ; Wareham, N. J. ; Peeters, P. H. / A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study. In: International Journal of Obesity. 2009 ; Vol. 33, No. 4. pp. 497-506.
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abstract = "Objectives: Cross-sectional data suggest a strong association between low levels of physical activity and obesity. The EPIC-PANACEA (European Prospective Investigation into Cancer-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating out of home And obesity) project was designed to investigate the associations between physical activity and body mass index (BMI) and waist circumference based on individual data collected across nine European countries. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 519 931 volunteers were recruited between 1992 and 2000, of whom 405 819 had data on main variables of interest. Height, body weight and waist circumference were measured using standardized procedures. Physical activity was assessed using a validated four-category index reflecting a self-reported usual activity during work and leisure time. The associations between physical activity and BMI and waist circumference were estimated using multilevel mixed effects linear regression models, adjusted for age, total energy intake, smoking status, alcohol consumption and educational level. Results: A total of 125 629 men and 280 190 women with a mean age of 52.9 (s.d. 9.7) and 51.5 (s.d. 10.0) years, respectively were included. The mean BMI was 26.6 kg/m 2 (s.d. 3.6) in men and 25.0 kg/m 2 (s.d. 4.5) in women. Fifty percent of men and 30{\%} of women were categorized as being active or moderately active. A one-category difference in the physical activity index was inversely associated with a difference of 0.18 kg/m 2 in the mean BMI (95{\%} confidence interval, CI, 0.11, 0.24) and 1.04-cm (95{\%} CI 0.82, 1.26) difference in waist circumference in men. The equivalent figures for women were 0.31 kg/m 2 (95{\%} CI 0.23, 0.38) and 0.90 cm (95{\%} CI 0.71, 1.08), respectively. Conclusions: Physical activity is inversely associated with both BMI and waist circumference across nine European countries. Although we cannot interpret the association causally, our results were observed in a large and diverse cohort independently from many potential confounders.",
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author = "H. Besson and U. Ekelund and J. Luan and May, {A. M.} and S. Sharp and N. Travier and A. Agudo and N. Slimani and S. Rinaldi and M. Jenab and T. Norat and T. Mouw and S. Rohrmann and R. Kaaks and M. Bergmann and H. Boeing and F. Clavel-Chapelon and Boutron-Ruault, {M. C.} and K. Overvad and Andreasen, {E. L.} and Johnsen, {N. F{\o}ns} and J. Halkjaer and C. Gonzalez and L. Rodriguez and Sanchez, {M. J.} and L. Arriola and A. Barricarte and C. Navarro and Key, {T. J.} and Spencer, {E. A.} and P. Orfanos and A. Naska and A. Trichopoulou and J. Manjer and E. Wirf{\"a}lt and E. Lund and D. Palli and C. Agnoli and P. Vineis and S. Panico and R. Tumino and Bueno-De-Mesquita, {H. B.} and {Van Den Berg}, {S. W.} and Odysseos, {A. D.} and E. Riboli and Wareham, {N. J.} and Peeters, {P. H.}",
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TY - JOUR

T1 - A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study

AU - Besson, H.

AU - Ekelund, U.

AU - Luan, J.

AU - May, A. M.

AU - Sharp, S.

AU - Travier, N.

AU - Agudo, A.

AU - Slimani, N.

AU - Rinaldi, S.

AU - Jenab, M.

AU - Norat, T.

AU - Mouw, T.

AU - Rohrmann, S.

AU - Kaaks, R.

AU - Bergmann, M.

AU - Boeing, H.

AU - Clavel-Chapelon, F.

AU - Boutron-Ruault, M. C.

AU - Overvad, K.

AU - Andreasen, E. L.

AU - Johnsen, N. Føns

AU - Halkjaer, J.

AU - Gonzalez, C.

AU - Rodriguez, L.

AU - Sanchez, M. J.

AU - Arriola, L.

AU - Barricarte, A.

AU - Navarro, C.

AU - Key, T. J.

AU - Spencer, E. A.

AU - Orfanos, P.

AU - Naska, A.

AU - Trichopoulou, A.

AU - Manjer, J.

AU - Wirfält, E.

AU - Lund, E.

AU - Palli, D.

AU - Agnoli, C.

AU - Vineis, P.

AU - Panico, S.

AU - Tumino, R.

AU - Bueno-De-Mesquita, H. B.

AU - Van Den Berg, S. W.

AU - Odysseos, A. D.

AU - Riboli, E.

AU - Wareham, N. J.

AU - Peeters, P. H.

PY - 2009/4

Y1 - 2009/4

N2 - Objectives: Cross-sectional data suggest a strong association between low levels of physical activity and obesity. The EPIC-PANACEA (European Prospective Investigation into Cancer-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating out of home And obesity) project was designed to investigate the associations between physical activity and body mass index (BMI) and waist circumference based on individual data collected across nine European countries. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 519 931 volunteers were recruited between 1992 and 2000, of whom 405 819 had data on main variables of interest. Height, body weight and waist circumference were measured using standardized procedures. Physical activity was assessed using a validated four-category index reflecting a self-reported usual activity during work and leisure time. The associations between physical activity and BMI and waist circumference were estimated using multilevel mixed effects linear regression models, adjusted for age, total energy intake, smoking status, alcohol consumption and educational level. Results: A total of 125 629 men and 280 190 women with a mean age of 52.9 (s.d. 9.7) and 51.5 (s.d. 10.0) years, respectively were included. The mean BMI was 26.6 kg/m 2 (s.d. 3.6) in men and 25.0 kg/m 2 (s.d. 4.5) in women. Fifty percent of men and 30% of women were categorized as being active or moderately active. A one-category difference in the physical activity index was inversely associated with a difference of 0.18 kg/m 2 in the mean BMI (95% confidence interval, CI, 0.11, 0.24) and 1.04-cm (95% CI 0.82, 1.26) difference in waist circumference in men. The equivalent figures for women were 0.31 kg/m 2 (95% CI 0.23, 0.38) and 0.90 cm (95% CI 0.71, 1.08), respectively. Conclusions: Physical activity is inversely associated with both BMI and waist circumference across nine European countries. Although we cannot interpret the association causally, our results were observed in a large and diverse cohort independently from many potential confounders.

AB - Objectives: Cross-sectional data suggest a strong association between low levels of physical activity and obesity. The EPIC-PANACEA (European Prospective Investigation into Cancer-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating out of home And obesity) project was designed to investigate the associations between physical activity and body mass index (BMI) and waist circumference based on individual data collected across nine European countries. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 519 931 volunteers were recruited between 1992 and 2000, of whom 405 819 had data on main variables of interest. Height, body weight and waist circumference were measured using standardized procedures. Physical activity was assessed using a validated four-category index reflecting a self-reported usual activity during work and leisure time. The associations between physical activity and BMI and waist circumference were estimated using multilevel mixed effects linear regression models, adjusted for age, total energy intake, smoking status, alcohol consumption and educational level. Results: A total of 125 629 men and 280 190 women with a mean age of 52.9 (s.d. 9.7) and 51.5 (s.d. 10.0) years, respectively were included. The mean BMI was 26.6 kg/m 2 (s.d. 3.6) in men and 25.0 kg/m 2 (s.d. 4.5) in women. Fifty percent of men and 30% of women were categorized as being active or moderately active. A one-category difference in the physical activity index was inversely associated with a difference of 0.18 kg/m 2 in the mean BMI (95% confidence interval, CI, 0.11, 0.24) and 1.04-cm (95% CI 0.82, 1.26) difference in waist circumference in men. The equivalent figures for women were 0.31 kg/m 2 (95% CI 0.23, 0.38) and 0.90 cm (95% CI 0.71, 1.08), respectively. Conclusions: Physical activity is inversely associated with both BMI and waist circumference across nine European countries. Although we cannot interpret the association causally, our results were observed in a large and diverse cohort independently from many potential confounders.

KW - BMI

KW - Cross-sectional analysis

KW - Europe

KW - Physical activity

KW - Waist circumference

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