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Metabolic and Behavioral Characteristics of Metabolically Obese but Normal-Weight Women
Abstract
A unique subset of individuals termed metabolically obese but normal weight (MONW) has been identified. These young women are potentially at increased risk for development of the metabolic syndrome despite their young age and normal body mass index. We seek to determine metabolic and behavioral factors that could potentially distinguish MONW women from young women with a normal metabolic profile.Ninety-six women were classified as MONW (n = 12) or non-MONW (n = 84) based on a cut point of insulin sensitivity (as estimated by the homeostasis model assessment). Potentially distinguishing phenotypes between groups measured included serum lipids, ghrelin, leptin, adiponectin, body composition and body fat distribution, resting and physical activity energy expenditure, peak oxygen uptake, dietary intake, dietary behavior, and family history and lifestyle variables. Despite a similar body mass index between groups, MONW women showed higher percent body fat, lower fat-free mass, lower physical activity energy expenditure, and lower peak oxygen uptake than non-MONW women. Plasma cholesterol level was higher in MONW women, whereas no differences were noted for other blood lipids, ghrelin, leptin, adiponectin, and resting energy expenditure. MONW women had lower dietary restraint scores than non-MONW women, but no differences were noted in disinhibition, hunger, and dietary intake. Stepwise regression analysis performed on all subjects showed that 33.5% of the unique variance of the homeostasis model assessment was explained with the variables of percentage of body fat (17.1%), level of dietary restraint (10.4%), and age (6%). Both metabolic and dietary behavioral variables contribute to the deleterious metabolic profile of MONW women. They display lower insulin sensitivity due potentially to a cluster of sedentary behavior patterns that contribute to their higher adiposity. Furthermore, cognitive attitudes toward food (i.e. dietary restraint) and concomitant lifestyle behaviors may play a role in regulating insulin sensitivity in MONW women.
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“Environmental factors that have been proposed to influence the development of insulin resistance are dietary composition, sedentary behavioral patterns, and also cognitive attitudes toward food (i.e., dietary restraints) (2).”
From Eating Meals Irregularly: A Novel Environmental Risk Factor for the Metabolic Syndrome (2008) · cites this paper as [2]
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Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
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
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
New methods for calculating metabolic rate with special reference to protein metabolism
Weir, J. B. D. V. (1949) · The Journal of Physiology · doi:10.1113/jphysiol.1949.sp004363 · Cited by 5,688
The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger
Stunkard, A. J., & Messick, S. (1985) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(85)90010-8 · Cited by 4,687
Statistical Principles in Experimental Design
Green, P. E., Winer, B. J., Brown, D. R., & Michels, K. M. (1992) · Journal of Marketing Research · doi:10.2307/3172747 · Cited by 4,333
Weyer, C., Funahashi, T., Tanaka, S., Hotta, K., Matsuzawa, Y., Pratley, R. E., & Tataranni, P. A. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.5.7463 · Cited by 3,541
A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans
Cummings, D. E., Purnell, J. Q., Frayo, R. S., Schmidova, K., Wisse, B. E., & Weigle, D. S. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1714 · Cited by 2,940
Bonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., Monauni, T., & Muggeo, M. (2000) · Diabetes Care · doi:10.2337/diacare.23.1.57 · Cited by 2,456
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- Ancelle, 2002, Statistique—épidémiologie, collection sciences fondamentales, Paris,, France, Maloine
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Metabolic syndrome and ethnic groups
Afrand, M., Afkhami‐Ardekani, M., Shojaoddiny-Ardekani, A., & Ariaeinejad, A. (2014) · doi:10.19082/mp3
The interdependence of nutritional status and blood pressure in female students
Szymelfejnik, E., & Chiba, A. (2012) · Medical and Biological Sciences · doi:10.2478/v10251-012-0045-3
La intensidad de la actividad física y su papel en la prevención cardiovascular en la cohorte SUN
Hidalgo-Santamaría, M. (. (2022) · Deposito Adademico Digital Universidad De Navarra (University of Navarra) · doi:10.15581/10171/63776
Wijayatunga, N. N., & Fernández-del-Valle, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-15485-0_30
Chowdhury, M. T. (2022) · Current Research in Diabetes & Obesity Journal · doi:10.19080/crdoj.2022.15.555915
Characteristics of Normal Weight Insulin-Resistant Adults with Unfavorable Health Outcomes
Zhang, L., Vella, A. V., Nair, K. S., & Jensen, M. D. (2024) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2023.0154 · Cited by 1
Valencia, J. G., Castillo-Paredes, A., Morán-Quiñones, E., & Quiroz, K. (2024) · Nutrición clínica y dietética hospitalaria/Nutrición clínica, dietética hospitalaria · doi:10.12873/442guerra
Wang, J., Wang, J., Lei, Y., Yuan, Q., Yin, X., & Zheng, F. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1642725
Conus, F. (2008) · doi:10.71781/28727
Self-citationKim, B., Taniguchi, K., Isobe, T., & Oh, S. (2024) · Figshare · doi:10.6084/m9.figshare.26676506
Huang, J., Hong, B., Chen, X., Jiang, F., & Chen, Y. (2026) · Postgraduate Medicine · doi:10.1080/00325481.2026.2633804
Wang, B., Shen, W., Li, B., & Pan, Y. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1813692
Li, G., Zhou, J., Zang, Z., Zhou, H., Wu, Y., Hao, T., Chen, L., & Zhang, M. (2026) · World Journal of Surgical Oncology · doi:10.1186/s12957-026-04532-y
Metaboliczna otyłość wśród osób z prawidłową masą ciała
Kucharska, A., Sińska, B. I., & Wronka, L. (2010) · Żywienie Człowieka i Metabolizm
Metadata
- Authors
- Conus, F., Allison, D. B., Rabasa-Lhoret, R., St-Onge, M., St-Pierre, D. H., Tremblay-Lebeau, A., & Poehlman, E. T.
- Affiliations
- Université de Montréal (CA)
- University of Alabama at Birmingham (US)
- Unité Metabolique (F.C., R.R.-L., M.S.-O., D.H.S.-P., A.T.-L.), Département de Nutrition, Faculté de Médecine, Université de Montréal, Montréal, Québec H3T 1A8, Canada
- Scriptus Medicus (E.T.P.), Montréal, Québec H2L 3R8, Canada
- Corresponding author
- Conus, Florence
- ORCID
- Allison, David B.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2004-10-01
- Volume
- 89
- Issue
- 10
- Pages
- 5013-5020
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2164648624
- Cited by
- 215
- References
- 57
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 10 · 2022: 12 · 2021: 10 · 2020: 10 · 2019: 10 · 2018: 7 · 2017: 8 · 2016: 14 · 2015: 18 · 2014: 18 · 2013: 11 · 2012: 19
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- insulin sensitivity, metabolic syndrome, young women, body fat percentage, fat-free mass, physical activity energy expenditure, peak oxygen uptake, dietary restraint, ghrelin, leptin, adiponectin, serum cholesterol, sedentary behavior, dietary behavior, HOMA
- MeSH terms
- Adolescent, Adult, Body Weight, Energy Intake, Cholesterol, Energy Metabolism, Female, Humans, Obesity, Risk Factors, Cohort Studies, Health Behavior, Body Mass Index, Multivariate Analysis, Leptin, Intercellular Signaling Peptides and Proteins, Peptide Hormones, Risk Reduction Behavior, Adiponectin, Ghrelin
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