Cited by 215Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietAdipokines, Inflammation, and Metabolic Diseases

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Metabolic and Behavioral Characteristics of Metabolically Obese but Normal-Weight Women

Conus, Florence, Allison, David B., Rabasa-Lhoret, Rémi, St-Onge, Maxime, St-Pierre, David H., Tremblay-Lebeau, Andréanne, Poehlman, Eric T.·2004·The Journal of Clinical Endocrinology & Metabolism

DOI 10.1210/jc.2004-0265

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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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Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man
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
Hypoadiponectinemia in Obesity and Type 2 Diabetes: Close Association with Insulin Resistance and Hyperinsulinemia
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
Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: Studies in subjects with various degrees of glucose tolerance and insulin sensitivity
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

Show all 57 references

Research works printed but not linked: 1

Ancelle, 2002, Statistique—épidémiologie, collection sciences fondamentales, Paris,, France, Maloine

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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
DOI: 10.1210/jc.2004-0265
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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Metabolic and Behavioral Characteristics of Metabolically Obese but Normal-Weight Women

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