The DOI matches its Crossref record.
Phenotypic characteristics associated with insulin resistance in metabolically obese but normal-weight young women.
Abstract
Metabolically obese, normal-weight (MONW) individuals are a hypothesized subgroup of the general population. These normal-weight individuals potentially display a cluster of obesity-related features, although this has not been systematically tested in young women. We hypothesized that MONW young women would display higher levels of total and visceral fat and lower levels of physical activity than normal women. In a cohort of 71 healthy nonobese women (21-35 years old), we identified MONW women based on cut points for insulin sensitivity (normal = glucose disposal >8 mg x min(-1) x kg(-1) of fat-free mass [FFM], n = 58; impaired = glucose disposal <8 ml x min(-1) x kg(-1) of FFM, n = 13). Thereafter, we measured body composition (dual energy X-ray absorptiometry) and body fat distribution (computed tomography), cardiorespiratory fitness (VO2max on a treadmill), physical activity energy expenditure (doubly labeled water and indirect calorimetry), glucose tolerance (oral glucose tolerance test), serum lipid profile, and dietary intake. We found a higher body fat percentage (32 +/- 6 vs. 27 +/- 6%, P = 0.01) and higher subcutaneous (213 +/- 61 vs. 160 +/- 78 cm2, P = 0.03) and visceral (44 +/- 16 vs. 35 +/- 14 cm2, P < 0.05) abdominal adiposity in the MONW group versus the normal group. The MONW group showed a lower physical activity energy expenditure (2.66 +/- 0.92 vs. 4.39 +/- 1.50 MJ/day, P = 0.01), but no difference in cardiorespiratory fitness was noted between groups. In conclusion, despite a normal body weight, a subset of young, apparently healthy women displayed a cluster of risky phenotypic characteristics that, if left untreated, may eventually predispose them to type 2 diabetes and cardiovascular disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Indeed, as mentioned before, some individuals exhibit the metabolic syndrome with only a moderate degree of total body obesity.43,44”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [44]
In the citing paper
“Moreover, the population of the United States varies considerably in degree of insulin resistance 46 ; those having more inherent insulin resistance can develop the metabolic syndrome with only moderate excess in abdominal fat, 43,44 but even people with little or no inherent insulin resistance can develop the metabolic syndrome if they accumulate marked abdominal obesity.3,8”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [44]
Citations
Cited by
Sorted by citations
Items 101–200 of 242
Age-related differences in metabolic adaptations following resistance training in women
Dionne, I. J., Mélançon, M. O., Brochu, M., Ades, P. A., & Poelhman, E. T. (2003) · Experimental Gerontology · doi:10.1016/j.exger.2003.10.006 · Cited by 43
“Nevertheless, our results are similar to those of Lemmer et al. (2001) who found significant increases in FFM in younger and older women following RT although increases were greater in younger women.”
BackgroundResultInfluentialSelf-citationLuo, D., Liu, F., Li, X., Yin, D., Lin, Z., Liu, H., Hou, X., Wang, C., & Jia, W. (2014) · Endocrine · doi:10.1007/s12020-014-0444-2 · Cited by 56
Clinical markers for the identification of metabolically healthy but obese individuals
Karelis, A. D., Brochu, M., RABASA-LHORET, R. P. R., Garrel, D. R., & Poehlman, É. T. (2004) · Diabetes Obesity and Metabolism · doi:10.1111/j.1462-8902.2004.00377.x · Cited by 41
Self-citationAdipose tissue infiltration in normal-weight subjects and its impact on metabolic function
Moreno‐Indias, I., Oliva‐Olivera, W., Omiste, A., Castellano‐Castillo, D., Lhamyani, S., Camargo, A., & Tinahones, F. J. (2016) · Translational research · doi:10.1016/j.trsl.2016.01.002 · Cited by 37
“The opposite phenomenon, normal-weight individuals who have metabolic disorders usually associated with obesity, was first suggested by Ruderman et al,(8) although previous studies suggested that normalweight individuals with the metabolic syndrome were not rare in the general population.(9,10) Adipose tissue located…”
BackgroundXia, L., Dong, F., Gong, H., Xu, G., Wang, K., Liu, F., Pan, L., Zhang, L., Yan, Y., Gaisano, H. Y., et al. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14040391 · Cited by 40
“[28] shows that the body fat % in young women with MUHNW is higher than in normal women, which also holds true in men and women below 60 years of age in our study.”
ResultRegulation of glucose metabolism in nondiabetic, metabolically obese normal-weight Asians
Ding, C., Chan, Z., Chooi, Y. C., Choo, J., Sadananthan, S. A., Chang, A., Sasikala, S., Michael, N., Velan, S. S., & Magkos, F. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00382.2017 · Cited by 39
“Previous studies have identified some lifestyle, anthropometric, and metabolic characteristics of the MONW phenotype (8, 23, 39, 45, 50); however, these observations are confounded by the small but significant differences in BMI or percent body fat between groups of metabolically healthy and unhealthy lean groups, wit…”
BackgroundMethodResultInfluentialChooi, Y. C., Ding, C., Chan, Z., Choo, J., Sadananthan, S. A., Michael, N., Lee, Y., Velan, S. S., & Magkos, F. (2018) · Obesity · doi:10.1002/oby.22185 · Cited by 38
“We (14) and others (21-25) have reported that MONW subjects have greater fat accumulation in the intra-abdominal area and the Figure 3 Effects of diet-induced 5% weight loss on the disposition index (product of M-value and U total) in metabolically unhealthy lean subjects.”
BackgroundLee, J., Beretvas, S. N., & FREELAND-GRAVES, J. H. (2014) · Journal of Obesity · doi:10.1155/2014/697264 · Cited by 40
Tershakovec, A. M., Jawad, A. F., Stouffer, N. O., Elkasabany, A., Srinivasan, S. R., & Berenson, G. S. (2002) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/76.4.730 · Cited by 40
“The hypercholesterolemic children described here at baseline may have been a pediatric variant of metabolically obese, normal-weight adults, ie, adults with normal body weight but who express a cluster of obesity-related characteristics (53, 54).”
BackgroundDíaz‐Rúa, R., Palou, A., & Oliver, P. (2016) · Food & Nutrition Research · doi:10.3402/fnr.v60.33554 · Cited by 29
“All these alterations evidence an impairment in glucose metabolism and insulin signalling due to increased fat intake, a well-known effect of HFdiet-induced obesity (36), and which is also characteristic of MONW subjects (37).”
BackgroundKhan, U. I., Ogorodnikova, A. D., Xu, L., Wang, D., Wassertheil‐Smoller, S., Ho, G., Sowers, M. F., Rajpathak, S. N., Allison, M., Mackey, R. H., et al. (2013) · Obesity · doi:10.1002/oby.20139 · Cited by 37
“Several published studies suggest that the prevalence of this phenotype ranges between 5% and 18%, depending on the criteria used to define this subgroup (32,33).”
BackgroundMultidisciplinary Pharmacotherapeutic Options for Nonalcoholic Fatty Liver Disease
Nakajima, K. (2012) · International Journal of Hepatology · doi:10.1155/2012/950693 · Cited by 37
“The pathogenic characteristics described above are often observed in metabolically obese young women with a normal body weight [19, 20].”
BackgroundCancer Risk in Normal Weight Individuals with Metabolic Obesity: A Narrative Review
Liu, B., Giffney, H. E., Arthur, R., Rohan, T. E., & Dannenberg, A. J. (2021) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-20-0633 · Cited by 41
“However, others have reported no significant dietary differences (45, 48).”
BackgroundPregravid body mass index as a predictor of gestational diabetes mellitus
Ogonowski, J., Miazgowski, T., Kuczyńska, M., Krzyżanowska‐Świniarska, B., & Celewicz, Z. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2009.02695.x · Cited by 38
Characteristics of metabolically obese, normal-weight women differ by menopause status
Choi, J. Y., Ha, H. S., Kwon, H., Lee, S., Cho, H., Yim, H. W., Lee, W., & Park, Y. (2012) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e31825d26b6 · Cited by 35
“Even though the prevalence of MONW status ranges widely by country (5%-45%),(24) the prevalence in this study is similar to those obtained in other studies conducted in Western and Korean populations.(8,25)”
ResultJung, J. Y., Han, K. A., Ahn, H. J., Kwon, H. R., Lee, J. H., Park, K. S., & Min, K. W. (2012) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2012.36.3.211 · Cited by 35
“Although visceral fat increases insulin resistance [4,31], a decrease in total muscle mass is also associated with insulin resistance [32,33].”
BackgroundGuerrero‐Romero, F., & Rodríguez‐Morán, M. (2006) · Archives of Medical Research · doi:10.1016/j.arcmed.2006.06.003 · Cited by 34
"Predictability of body mass index for diabetes: Affected by the presence of metabolic syndrome?"
Hadaegh, F., Bozorgmanesh, M., Safarkhani, M., Khalili, D., & Azizi, F. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-383 · Cited by 33
“This constellation, generally known as MetS, includes impaired insulin sensitivity, increased visceral adiposity, low levels of high-density lipoprotein cholesterol (HDL-C), elevated levels of fasting glucose and triglycerides (TGs), and hypertension [ 5-9 ].”
BackgroundMethodCao, L., Liu, X., Cao, H., Lv, Q., & Tong, N. (2012) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2012/374346 · Cited by 33
“Although they have a normal body mass index or are mildly obese, MONW individuals usually have obviously increased visceral adipose as measured on dual X-ray absorptiometry, computed tomography, and magnetic resonance imaging [3, 7, 8].”
BackgroundAbdominal obesity in BTBR male mice is associated with peripheral but not hepatic insulin resistance
Flowers, J. B., Oler, A. T., Nadler, S. T., Choi, Y., Schueler, K. L., Yandell, B. S., Kendziorski, C. M., & Attie, A. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00370.2006 · Cited by 33
“It is estimated that 13–18% of individuals with normal body mass index have significant risk factors for diabetes and cardiovascular disease (17, 42).”
BackgroundMetabolic syndrome in normal-weight Iranian adults
Hadaegh, F., Zabetian, A., Harati, H., & Azizi, F. (2007) · Annals of Saudi Medicine · doi:10.5144/0256-4947.2007.18 · Cited by 33
Physiological and Lifestyle Traits of Metabolic Dysfunction in the Absence of Obesity
KLITGAARD, H., Kilbak, J. H., Nozawa, E. A., Seidel, A. V., & Magkos, F. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01302-2 · Cited by 30
Nguyen, N.-D., Kim, J. H., & Kim, M. K. (2021) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-21-0255 · Cited by 33
Diniz, J. M. M., & da Costa, T. H. M. (2004) · British Journal Of Nutrition · doi:10.1079/bjn20041288 · Cited by 30
“Dvorak et al. (1999) found that 18 % of the women with normal BMI values had obese metabolic profiles.”
BackgroundIs a nutritional therapeutic approach unsuitable for metabolically healthy but obese women?
Perseghin, G. (2008) · Diabetologia · doi:10.1007/s00125-008-1077-x · Cited by 29
“These women have a higher body fat content in spite of a normal BMI, and show the cluster of phenotypic risk factors associated with the insulin resistance syndrome [7, 8].”
BackgroundSomatotype characteristics of normal-weight and obese women among different metabolic subtypes
Srdić, B., Pavlica, T., Udicki, M., Stokić, E., Mikalački, M., Korovljev, D., Čokorilo, N., Drvendžija, Z., & Adamović, D. (2016) · Archives of Endocrinology and Metabolism · doi:10.1590/2359-3997000000159 · Cited by 36
Metabolic Phenotype and Risk of Colorectal Cancer in Normal-Weight Postmenopausal Women
Liang, X., Margolis, K. L., HENDRYX, M. S., et al. (2017) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0761 · Cited by 29
“Furthermore, comparedwithmetabolically healthy normal-weight individuals, metabolically unhealthy normal-weight individuals may have less physical activity (28) and consume more saturated fat and less fiber (27); however, physical activity, saturated fat, and dietary fiber were included as covariates in this study, an…”
BackgroundThe effect of a lifestyle intervention on metabolic health in young women
Dunn, S. L., Boutcher, S. H., Freund, J., & Siu, W. (2014) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s67845 · Cited by 28
Differences between Metabolically Healthy vs Unhealthy Obese Children and Adolescents
Khokhar, A., Chin, V. L., Perez-Colon, S., Farook, T., Bansal, S., Kochummen, E., & Umpaichitra, V. (2017) · Journal of the National Medical Association · doi:10.1016/j.jnma.2017.02.008 · Cited by 27
Metabolic Syndrome and Prediabetes
Babu, A. R., & Fogelfeld, L. A. (2006) · Disease-a-Month · doi:10.1016/j.disamonth.2006.03.001 · Cited by 27
Anastasiou, C. A., Yannakoulia, M., Pirogianni, V., Rapti, G., Sidossis, L. S., & Kavouras, S. A. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.040 · Cited by 26
Vella, C. A., Burgos, X., Ellis, C. J., Zubia, R. Y., Ontiveros, D., Reyes, H. A., & Lozano, C. (2012) · Diabetes Care · doi:10.2337/dc12-1550 · Cited by 28
“This phenotype has been defined by insulin resistance (10), central obesity (6), and metabolic syndrome (14), and is characterized by a clustering of cardiovascular disease risk factors despite a normal body weight.”
BackgroundEvaluation of the prevalence of metabolic obesity and normal weight among the Polish population.
Bednarek-Tupikowska, G., Stachowska, B., Miazgowski, T., Krzyżanowska‐Świniarska, B., Katra, B., Jaworski, M., Kuliczkowska-Płaksej, J., Jokiel-Rokita, A., Tupikowska, M., Bolanowski, M., et al. (2012) · PubMed · Cited by 25
Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study
Kim, J. W., Ahn, S. T., Oh, M. M., Moon, D. G., Han, K., & Park, H. S. (2019) · Journal of Korean Medical Science · doi:10.3346/jkms.2019.34.e49 · Cited by 24
The relative impact of different measures of adiposity on markers of early atherosclerosis
Stamatelopoulos, K., Lekakis, J. P., Vamvakou, G. D., Katsichti, P., Protogerou, A. D., Revela, I., Karatzi, K., Alevizaki, M. K., Zakopoulos, N., & Papamichael, C. M. (2006) · International Journal of Cardiology · doi:10.1016/j.ijcard.2006.07.098 · Cited by 23
Metabolic characterization of overweight and obese adults
Hirsch, K. R., Smith‐Ryan, A. E., Blue, M. N. M., Mock, M. G., Trexler, E. T., & Ondrak, K. S. (2016) · The Physician and Sportsmedicine · doi:10.1080/00913847.2016.1248222 · Cited by 23
“Previous literature has sought to identify characteristics of obese individuals that are associated with healthy or abnormal metabolic markers [7,8,35,36].”
Childhood growth and future risk of the metabolic syndrome in normal-weight men and women
Salonen, M. K., Kajantie, E., Osmond, C., Forsén, T., Ylihärsilä, H., Paile‐Hyvärinen, M., Barker, D. J. P., & Eriksson, J. G. (2009) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.10.004 · Cited by 18
Weerawatanakorn, M., He, S., Chang, C.-H., Koh, Y.-C., Yang, M.-J., & Pan, M.-H. (2023) · ACS Omega · doi:10.1021/acsomega.3c04874 · Cited by 19
Baltadjiev, A. G., & Baltadjiev, G. (2011) · Folia Medica · doi:10.2478/v10153-011-0057-y · Cited by 18
Determinants of new onset cardiometabolic risk among normal weight children
Hulst, A. V., Ybarra, M., Mathieu, M.-E., Benedetti, A., Paradis, G., & Henderson, M. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0483-0 · Cited by 16
Ferreira, F. G., Reitz, L. K., Valmorbida, A., Gabiatti, M. P., Hansen, F., Pietro, P. F. D., de Oliveira, L. L., Trindade, E. B. S. D. M., & Longo, G. Z. (2022) · Nutrition · doi:10.1016/j.nut.2022.111590 · Cited by 19
Al-Jaber, H., Mohamed, N. A., Govindharajan, V. K., Taha, S., John, J., Halim, S., Alser, M., Almuraikhy, S., Anwardeen, N. R., Agouni, A., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911142 · Cited by 17
“Various studies have suggested that non-obese individuals could equally become insulin resistant and develop T2D if left untreated, with the term metabolically obese apparently healthy individuals being used to describe insulin-resistant non-obese individuals [3,8,28].”
BackgroundSex Differences in Body Fat Distribution
Veilleux, A., & Tchernof, A. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0965-6_5 · Cited by 17
Metabolic Health, Obesity, and Intraocular Pressure
Jung, Y., Kim, G. N., Oh, E. B., Ohn, K., & Moon, J. I. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12052066 · Cited by 16
Seyoum, B., Fite, A., & Abou‐Samra, A. (2011) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2011.05.073 · Cited by 20
Lifecourse predictors of normal metabolic parameters in overweight and obese adults
Hayes, L. D., Pearce, M. S., & Unwin, N. C. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803213 · Cited by 16
Management of the insulin resistance syndrome
Desouza, C. V., Gilling, L., & Fonseca, V. A. (2001) · Current Diabetes Reports · doi:10.1007/s11892-001-0026-6 · Cited by 17
Mamabolo, R., Sparks, M., Moss, S. J., & Monyeki, M. A. (2015) · African Health Sciences · doi:10.4314/ahs.v14i4.23 · Cited by 14
Metabolic Health Has Greater Impact on Diabetes than Simple Overweight/Obesity in Mexican Americans
Wu, S., Fisher‐Hoch, S. P., Reninger, B., et al. (2016) · Journal of Diabetes Research · doi:10.1155/2016/4094876 · Cited by 15
“This phenomenon may be associated with impaired insulin sensitivity (euglycemic hyperinsulinemic clamp or oral glucose tolerance test) [11, 28].”
Ding, W., Liu, J. T., Shang, Y. X., Gao, B., Zhao, X., Zhao, H., & Wu, W. J. (2018) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2018.03.002 · Cited by 15
Hashemipour, S., Esmailzadehha, N., Hamid, H., Oveisi, S., Yakhchaliha, P., & Ziaee, A. (2015) · Journal of Endocrinological Investigation · doi:10.1007/s40618-015-0302-y · Cited by 14
Berk, K., Konstantynowicz-Nowicka, K., Charytoniuk, T., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105382 · Cited by 14
“The accumulation of lipids in VAT impairs insulin sensitivity in metabolically obese, normal-weight individuals [9].”
BackgroundDíaz‐Rúa, R., van Schothorst, E. M., Keijer, J., et al. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.47 · Cited by 14
The Trends of Metabolic Syndrome in Normal-Weight Tehranian Adults
Hosseinpanah, F., Barzin, M., Amiri, P., & Azizi, F. (2011) · Annals of Nutrition and Metabolism · doi:10.1159/000327147 · Cited by 14
Selected adipokines and metabolic profiles in normal-weight women with abdominal obesity
Miazgowski, T., Major‐Gołuch, A., & Safranow, K. (2012) · Polskie Archiwum Medycyny Wewnętrznej · doi:10.20452/pamw.1375 · Cited by 13
Kim, J. W., Ahn, S., Oh, M., Moon, D.-G.-O., Jun, C.-O., Han, K., Kim, S. M., & Park, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-63595-3 · Cited by 13
Normal weight obesity among young adults in Trinidad and Tobago: prevalence and associated factors
Ramsaran, C., & Maharaj, R. G. (2015) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2015-0042 · Cited by 13
Hirao, K., Maruyama, T., Ohno, Y., Hirose, H., Shimada, A., Takei, I., Murata, M., Morii, T., Eguchi, T., Hayashi, M., et al. (2009) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2009.09.004 · Cited by 12
Chen, F., Shi, Y., Yu, M., Hu, Y., Li, T., Cheng, Y., Xu, T., & Liu, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-53229-3 · Cited by 12
“Secondary outcomes included mortality owing to heart disease (International Classification of Diseases Tenth Revision [ICD-10] codes 54–68) and malignant neoplasms (ICD-10 codes 19–43).”
BackgroundDifferential glucose metabolism in weight restored women with anorexia nervosa
Kim, Y., Hildebrandt, T., & Mayer, L. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104404 · Cited by 11
Association of serum calcium and metabolically healthy obese in US adults: a cross-sectional study
Li, Z., Yao, Z., & Liu, Q. (2024) · Annals of Medicine · doi:10.1080/07853890.2024.2403721 · Cited by 10
The Metabolic Switch of Physical Activity in Non-Obese Insulin Resistant Individuals
Almuraikhy, S., Anwardeen, N. R., Doudin, A., Sellami, M., Dömling, A. S. S., Agouni, A., Thani, A. A. A., & Elrayess, M. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097816 · Cited by 10
Effect of obesity and metabolic health on urolithiasis: A nationwide population-based study
Choi, C., Kim, J. K., Han, K., Lee, Y. G., & Han, J. H. (2021) · Korean journal of urology · doi:10.4111/icu.20210332 · Cited by 11
“In contrast, people with a metabolically unhealthy non-obese (MUNO) phenotype are characterized by impaired insulin sensitivity, higher levels of abdominal adiposity, blood pressure (BP) and oxidative stress, lower physical activity energy expenditure, more atherogenic lipid profiles, and unfavorable adipokine profile…”
BackgroundMonsted, C., Lazzarino, M. S., Modini, L. B., et al. (2013) · Revista Española de Nutrición Humana y Dietética · doi:10.14306/renhyd.18.1.32 · Cited by 10
Huang, J., Fukuo, K., Yoshino, G., et al. (2018) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2018.8621153 · Cited by 4
“[7] suggested that young women with”
Okoli, C., Woldu, H. G., & Peterson, C. A. (2021) · Nutrients · doi:10.3390/nu13124523 · Cited by 9
Pienaar, P. R., Micklesfield, L. K., Levitt, N. S., Gooding, K. M., Shore, A. C., Goedecke, J. H., Gill, J. M. R., & Lambert, E. V. (2014) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2013.0126 · Cited by 9
“69 was used to classify a subject as either insulinsensitive (IS, n = 21) or insulin-resistant (IR, n = 16).(26,27) Within the IR group, six subjects were black African, four were of mixed ancestry, and six were Caucasian.”
Hamilton, O. K., Zhang, Q., McRae, A. F., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/278234 · Cited by 9
Arai-Okuda, M., Murai, Y., Maeda, H., Kanamori, A., Miki, T., Naito, T., Sugihara, K., Kono, M., Tanito, M., Onoe, H., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-54383-4 · Cited by 8
Prevalence of Metabolic Syndrome in Saudi Population
Aljabri, K. S. (2018) · Archives of Diabetes & Obesity · doi:10.32474/ado.2018.01.000112 · Cited by 5
Lim, S., Ha, H. S., Kwon, H., Lee, J., Yim, H. W., Yoon, K., Lee, W., Son, H., & Park, Y. (2011) · Epidemiology and Health · doi:10.4178/epih/e2011009 · Cited by 8
“In the previous studies conducted in western countries [29,30] cholesterol level was significantly higher in insulin-resistant subjects.”
BackgroundBednarek-Tupikowska, G., Zdrojowy-Wełna, A., Stachowska, B., Kuliczkowska-Płaksej, J., Matczak-Giemza, M., Kubicka, E., Tworowska-Bardzińska, U., Milewicz, A., & Bolanowski, M. (2015) · Endokrynologia Polska · doi:10.5603/ep.2014.0062 · Cited by 8
“and subjects belonging to this group are defined as metabolically obese normal weight (MONW) [3,5–8].”
BackgroundResultAltered serum Zinc and Copper in Iranian Adults who were of normal weight but metabolically obese
Darroudi, S., Fereydouni, N., Tayefi, M., Esmaily, H., Sadabadi, F., Khashyarmanesh, Z., Tayefi, B., Haghighi, H. M., Timar, A., Mohammadpour, A. H., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-51365-9 · Cited by 9
Geisthövel, F., Wacker, A., Brabant, G. E., Botsch, F., Maechtel, A., Wetzka, B., & Ochsner, A. (2010) · Journal für Kardiologie (Krause & Pachernegg GmbH) · Cited by 8
Dunn, S. L. (2009) · UNSWorks (UNSW Sydney) · doi:10.26190/unsworks/22256 · Cited by 7
Lee, S., Ha, H., Park, Y.-J., Lee, J. H., Yim, H. W., Yoon, K., Kang, M.-I., Lee, W.-C., Son, H., Park, Y., et al. (2011) · Endocrinology and Metabolism · doi:10.3803/enm.2011.26.2.133 · Cited by 7
Goluch, Z., & Bonczek, M. (2011) · Acta Scientiarum Polonorum Technologia Alimentaria · Cited by 7
STRONG-D: Strength training regimen for normal weight diabetics: Rationale and design
Faroqi, L., Bonde, S., Goni, D. T., Wong, C. W., Wong, M., Walai, K., Araya, S., Azamey, S., Schreiner, G., Bandy, M., et al. (2019) · Contemporary Clinical Trials · doi:10.1016/j.cct.2019.01.005 · Cited by 7
McCarty, M. F. (2002) · Medical Hypotheses · doi:10.1054/mehy.2001.1454 · Cited by 7
Metabolic risks in individuals with normal body mass index and normal waist circumference
Hadaegh, F., Esmaillzadeh, A., & Azizi, F. (2007) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000230096.73579.64 · Cited by 7
Берштейн, Л. М., & Kovalenko, I. G. (2010) · Problems of Endocrinology · doi:10.14341/probl201056347-51 · Cited by 6
“Группе МНО (по-прежнему, преимущественно формируемой на основании сочетания ожирение + нормолипидемия + сохранение чувствительности к инсулину) при сравнении с людьми с «обычным» ожирением оказались свойственны: а) более низкий уровень в крови маркеров хронического воспаления типа интерлейкина-6, фактора некроза опухо…”
Kim, N. W., Lee, D., & Lee, S. (2021) · Exercise Science · doi:10.15857/ksep.2021.30.1.70 · Cited by 6
Park, D., Shin, M., & Magkos, F. (2024) · CardioMetabolic Syndrome Journal · doi:10.51789/cmsj.2024.4.e13 · Cited by 5
Chen, Y.-C., Li, W.-C., Ke, P.-H., Chen, I.-C., Yu, W., Huang, H.-Y., Xiong, X.-J., & Chen, J. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.940183 · Cited by 5
Climacteric obesity: from genesis to clinic
Milewicz, A., & Jędrzejuk, D. (2006) · Gynecological Endocrinology · doi:10.1080/09513590500453775 · Cited by 5
“The syndrome is referred to as ‘menopausal metabolic syndrome’ and affects over 30% of women [7,9,10,12].”
BackgroundMartínez‐Abundis, E., González-Ortı́z, M., & Grover‐Páez, F. (2001) · Journal of Diabetes and its Complications · doi:10.1016/s1056-8727(00)00144-6 · Cited by 5
Beck, E., Paquot, N., & Scheen, A. J. (2008) · Obésité · doi:10.1007/s11690-008-0137-1 · Cited by 5
Li, W.-C., Chen, J., Liu, Y., Lee, Y., Yeh, W.-C., Yu, W., & Tsao, Y.-C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223664 · Cited by 4
Jeor, S. T. S., Hayman, L. L., Daniels, S. R., Gillman, M. W., Howard, G., Law, C., Lewis, C. E., & Poehlman, É. T. (2004) · Circulation · Cited by 4
Self-citationMetabolic syndrome: what changed during last 30 years?
Татарчук, Т. Ф., Tutchenko, T. М., Perekhrestenko, O. V., Калашніков, О. О., & Glamazda, M. (2018) · Reproductive Endocrinology · doi:10.18370/2309-4117.2018.43.15-27 · Cited by 4
Adipose tissue infiltration in normal-weight subjects and its impact on metabolic function
Moreno‐Indias, I., Oliva‐Olivera, W., Castellano‐Castillo, D., et al. (2016) · Endocrine Abstracts · doi:10.1530/endoabs.41.gp137 · Cited by 4
Wang, R., Cao, L., Zhang, P., Chen, H., Zhong, Q., Sang, Z., Wu, C., & He, Z. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02744-x · Cited by 4
“By contrast, metabolically unhealthy non-obesity (MUNO) individuals frequently present with insulin resistance, elevated blood pressure, oxidative stress, and atherogenic dyslipidemia [9–11].”
A Gender-Specific Nutritional Approach to Women’s Healthcare
Shapira, N. (2012) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-94-007-4602-2_15 · Cited by 3
Insulin Resistance and the Metabolic Syndrome
Linkner, E., & Humphreys, C. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-1793-8.00031-5 · Cited by 3
Insulin Resistance and the Metabolic Syndrome
Linkner, E., & Humphreys, C. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-35868-2.00032-3 · Cited by 3
Porzezińska-Furtak, J., Krzyżanowska‐Świniarska, B., Miazgowski, T., Safranow, K., & Kamiński, R. (2014) · Endocrine · doi:10.1007/s12020-014-0187-0 · Cited by 3
“MONW group comprises middle-aged subjects in whom early intervention based on physical activity and dietary restrictions might be greatly beneficial [1, 3, 4].”
BackgroundCamacho-Rea, C., Arechavaleta-Velasco, M. E., Gutiérrez, C. G., et al. (2010) · Italian Journal of Animal Science · doi:10.4081/ijas.2010.e84 · Cited by 3
Metaboliczna otyłość u osób z prawidłową masą ciała
Bednarek-Tupikowska, G., Matczak-Giemza, M., Kubicka, E., & Krzyżanowska‐Świniarska, B. (2007) · Via Medica Journals · Cited by 3
Porzezińska-Furtak, J., Krzyżanowska‐Świniarska, B., Miazgowski, T., Ziemak, J., & Widecka, K. (2009) · Endokrynologia, Otyłość i Zaburzenia Przemiany Materii · Cited by 3
Association Between Percent Body Fat and Cardiovascular Risk Factors in Normal Weight Korean Adults
Park, M.-H., Lee, K. M., & Jung, S.-P. (2013) · Korean Journal of Health Promotion · Cited by 3
Metadata
- Authors
- Dvorak, R. V., DeNino, W. F., Ades, P. A., & Poehlman, E. T.
- Affiliations
- Department of Medicine, College of Medicine, University of Vermont, Burlington 05405, USA.
- University of Vermont (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1999-11-01
- Volume
- 48
- Issue
- 11
- Pages
- 2210-2214
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2155025864
- Cited by
- 243
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 7 · 2020: 4 · 2019: 10 · 2018: 15 · 2017: 8 · 2016: 16 · 2015: 11 · 2014: 12 · 2013: 12 · 2012: 17
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ag015114-03)
- National Institute on Aging (R01-AG15114)
- National Institute of Dental and Craniofacial Research (DE 950226)
- National Center for Research Resources (RR-00109)
- 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 resistance, visceral fat, subcutaneous abdominal fat, physical activity energy expenditure, cardiorespiratory fitness, body composition, glucose tolerance, type 2 diabetes risk, cardiovascular risk, young women
- MeSH terms
- Adipose Tissue, Adult, Blood Glucose, Blood Pressure, Body Constitution, Body Weight, Contraceptives, Oral, Diabetes Mellitus, Female, Glucose, Humans, Obesity, Phenotype, Reference Values, Body Mass Index
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review