The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Impact of Body Mass Index and the Metabolic Syndrome on the Risk of Cardiovascular Disease and Death in Middle-Aged Men
Open accessAbstract
Background— The purpose of this study was to investigate associations between combinations of body mass index (BMI) categories and metabolic syndrome (MetS) and the risk of cardiovascular disease and death in middle-aged men. Methods and Results— At age 50 years, cardiovascular risk factors were assessed in 1758 participants without diabetes in the community-based Uppsala Longitudinal Study of Adult Men (ULSAM). According to BMI-MetS status, they were categorized as normal weight (BMI <25 kg/m 2 ) without MetS (National Cholesterol Education Program criteria; n=891), normal weight with MetS (n=64), overweight (BMI 25 to 30 kg/m 2 ) without MetS (n=582), overweight with MetS (n=125), obese (BMI >30 kg/m 2 ) without MetS (n=30), or obese with MetS (n=66). During follow-up (median 30 years), 788 participants died, and 681 developed cardiovascular disease (composite of cardiovascular death or hospitalization for myocardial infarction, stroke, or heart failure). In Cox proportional-hazards models that adjusted for age, smoking, and low-density lipoprotein cholesterol, an increased risk for cardiovascular disease was observed in normal-weight participants with MetS (hazard ratio 1.63, 95% confidence interval 1.11 to 2.37), overweight participants without MetS (hazard ratio 1.52, 95% confidence interval 1.28 to 1.80), overweight participants with MetS (hazard ratio 1.74, 95% confidence interval 1.32 to 2.30), obese participants without MetS (hazard ratio 1.95, 95% confidence interval 1.14 to 3.34), and obese participants with MetS (hazard ratio 2.55, 95% confidence interval 1.81 to 3.58) compared with normal-weight individuals without MetS. These BMI-MetS categories significantly predicted total mortality rate in a similar pattern. Conclusions— Middle-aged men with MetS had increased risk for cardiovascular events and total death regardless of BMI status during more than 30 years of follow-up. In contrast to previous reports, overweight and obese individuals without MetS also had an increased risk. The present data refute the notion that overweight and obesity without MetS are benign conditions.
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Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111
General and abdominal adiposity and risk of death in Europe
Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M. B., Overvad, K., van der Schouw, Y. T., Spencer, E., Moons, K. G. M., Tjønneland, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801891 · Cited by 2,155
Sattar, N., Gaw, A., Scherbakova, O., Ford, I., O’Reilly, D. S. J., Haffner, S. M., Isles, C., Macfarlane, P. W., Packard, C. J., Cobbe, S. M., et al. (2003) · Circulation · doi:10.1161/01.cir.0000080897.52664.94 · Cited by 1,506
The metabolically healthy but obese individual presents a favorable inflammation profile
Karelis, A. D., Faraj, M., Bastard, J.-P., St-Pierre, D. H., Brochu, M., Prud’homme, D., & Rabasa-Lhoret, R. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-0482 · Cited by 579
Brochu, M., Tchernof, A., Dionne, I. J., Sites, C. K., Eltabbakh, G. H., Sims, E. A. H., & Poehlman, E. T. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.3.7365 · Cited by 443
Dvorak, R. V., DeNino, W. F., Ades, P. A., & Poehlman, E. T. (1999) · Diabetes · doi:10.2337/diabetes.48.11.2210 · Cited by 243 · cited 1×
“Systolic blood pressure, mm Hg 129 (16) 137 (18)‡ 134 (17)‡ 142 (18)‡ 139 (18)‡ 148 (21)‡ 0.”
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Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013) · JAMA · doi:10.1001/jama.2012.113905 · Cited by 3,998
Smith, S. C., Benjamin, E. J., Bonow, R. O., Braun, L. T., Creager, M. A., Franklin, B. A., Gibbons, R. J., Grundy, S. M., Hiratzka, L. F., Jones, D. W., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318235eb4d · Cited by 1,759
Virani, S. S., Newby, L. K., Arnold, S. V., Bittner, V., Brewer, L. C., Demeter, S. H., Dixon, D. L., Fearon, W. F., Hess, B., Johnson, H. M., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001168 · Cited by 1,598
Metabolically healthy obesity: Epidemiology, mechanisms, and clinical implications
Stefan, N., Häring, H.-U., Hu, F. B., & Schulze, M. B. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70062-7 · Cited by 857
Fihn, S. D., Gardin, J. M., Abrams, J., Berra, K., Blankenship, J. C., Dallas, A. P., Douglas, P. S., Foody, J. M., Gerber, T. C., Hinderliter, A. L., et al. (2012) · Circulation · doi:10.1161/cir.0b013e318277d6a0 · Cited by 845
Metadata
- Authors
- Ärnlöv, J., Ingelsson, E., Sundström, J., & Lind, L.
- Venue
- Circulation
- Published
- 2010-01-19
- Volume
- 121
- Issue
- 2
- Pages
- 230-236
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2167503069
- Cited by
- 611
- References
- 8
- FWCI
- 29.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ärnlöv, J., Ingelsson, E., Sundström, J., & Lind, L. (2010). Impact of Body Mass Index and the Metabolic Syndrome on the Risk of Cardiovascular Disease and Death in Middle-Aged Men. Circulation. https://doi.org/10.1161/circulationaha.109.887521
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