1. Lanktree, MB, Hegele, RA. Chapter 4—metabolic syndrome. In: Ginsburg, G, Willard, H (eds) Genomic and precision medicine: cardiovascular disease. 3rd ed. Amsterdam: Elsevier, 2018, pp.47–63.
Google Scholar | Crossref2. Raposo, L, Severo, M, Barros, H, et al. The prevalence of the metabolic syndrome in Portugal: the PORMETS study. BMC Public Health 2017; 17(1): 555.
Google Scholar | Crossref | Medline3. De Carvalho Vidigal, F, Bressan, J, Babio, N, et al. Prevalence of metabolic syndrome in Brazilian adults: a systematic review. BMC Public Health 2013; 13(1): 1198.
Google Scholar | Crossref | Medline4. Alberti, KGMM, Eckel, RH, Grundy, SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120(16): 1640–1645.
Google Scholar | Crossref | Medline | ISI5. De Oliveira Costa, AC, de Oliveira Duarte, YA, de Andrade, FB. Metabolic syndrome: physical inactivity and socioeconomic inequalities among non-institutionalized Brazilian elderly. Rev Bras Epidemiol 2020; 23: e200046.
Google Scholar | Medline6. Beavers, KM, Hsu, FC, Houston, DK, et al. The role of metabolic syndrome, adiposity, and inflammation in physical performance in the health ABC study. J Gerontol Ser A Biol Sci Med Sci 2013; 68(5): 617–623.
Google Scholar | Crossref | Medline7. Blaum, CS, West, NA, Haan, MN. Is the metabolic syndrome, with or without diabetes, associated with progressive disability in older Mexican Americans? J Gerontol Ser A Biol Sci Med Sci 2007; 62(7): 766–773.
Google Scholar | Crossref | Medline8. Ogawa, EF, Leritz, E, McGlinchey, R, et al. Metabolic syndrome and physical performance: the moderating role of cognition among middle-to-older-aged adults. J Int Neuropsychol Soc 2021; 27(2): 172–180.
Google Scholar | Crossref | Medline9. Rochlani, Y, Pothineni, NV, Mehta, JL. Metabolic syndrome: does it differ between women and men? Cardiovasc Drugs Ther 2015; 29(4): 329–338.
Google Scholar | Crossref | Medline10. Pu, D, Tan, R, Yu, Q, et al. Metabolic syndrome in menopause and associated factors: a meta-analysis. Climacteric 2017; 20(6): 583–591.
Google Scholar | Crossref | Medline11. Pucci, G, Alcidi, R, Tap, L, et al. Sex- and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: a review of the literature. Pharmacol Res 2017; 120: 34–42.
Google Scholar | Crossref | Medline12. Montez, JK, Bromberger, JT, Harlow, SD, et al. Life-course socioeconomic status and metabolic syndrome among midlife women. J Gerontol Ser B Psychol Sci Soc Sci 2016; 71(6): 1097–1107.
Google Scholar | Crossref | Medline13. Ramires, EKNM, de Menezes, RCE, Longo-Silva, G, et al. Prevalence and factors associated with metabolic syndrome among Brazilian adult population: national health survey – 2013. Arq Bras Cardiol 2018; 110(5): 455–466.
Google Scholar | Medline14. Moreira, MA, Vafaei, A, da Câmara, SMA, et al. Metabolic syndrome (MetS) and associated factors in middle-aged women: a cross-sectional study in Northeast Brazil. Women Health 2020; 60(6): 601–617.
Google Scholar | Crossref | Medline15. Alterovitz, SSR, Mendelsohn, GA. Relationship goals of middle-aged, young-old, and old-old internet daters: an analysis of online personal ads. J Aging Stud 2013; 27(2): 159–165.
Google Scholar | Crossref | Medline16. De Yébenes, MJ, Otero, A, Zunzunegui, MV, et al. Validation of a short cognitive tool for the screening of dementia in elderly people with low educational level. Int J Geriatr Psychiatry 2003; 18(10): 925–936.
Google Scholar | Crossref | Medline17. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) . Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002; 106(25): 3143–3421.
Google Scholar | Crossref | Medline | ISI18. Lean, MEJ, Han, TS, Morrison, CE. Waist circumference as a measure for indicating need for weight management. BMJ 1995; 311(6998): 158–161.
Google Scholar | Crossref | Medline19. White, WB, Berson, AS, Robbins, C, et al. National standard for measurement of resting and ambulatory blood pressures with automated sphygmomanometers. Hypertension 1993; 21(4): 504–509.
Google Scholar | Crossref | Medline20. O’brien, E, Petrie, J, Little, W, et al. Short report: An outline of the revised British Hypertension Society Protocol for the evaluation of blood pressure measuring devices. J Hypertens 1993; 11(6): 677–679.
Google Scholar | Crossref | Medline21. Da Câmara, SMA, Zunzunegui, MV, Pirkle, C, et al. Menopausal status and physical performance in middle aged women: a cross-sectional community-based study in Northeast Brazil. PLoS ONE 2015; 10(3): e0119480.
Google Scholar | Crossref | Medline22. Harlow, SD, Gass, M, Hall, JE, et al. Executive summary of the Stages of Reproductive Aging Workshop + 10: addressing the unfinished agenda of staging reproductive aging. Fertil Steril 2012; 97(4): 843–851.
Google Scholar | Crossref23. Khosravi-Boroujeni, H, Sarrafzadegan, N, Sadeghi, M, et al. Secular Trend of metabolic syndrome and its components in a cohort of Iranian adults from 2001 to 2013. Metab Syndr Relat Disord 2017; 15(3): 137–144.
Google Scholar | Crossref | Medline24. Monteiro, CA, Levy, RB, Claro, RM, et al. A new classification of foods based on the extent and purpose of their processing. Cad Saude Publica 2010; 26(11): 2039–2049.
Google Scholar | Crossref | Medline25. Hunter, GR, Gower, BA, Kane, BL. Age related shift in visceral fat. Int J Body Compos Res 2010; 8(3): 103–108.
Google Scholar | Medline26. Ali, AM, Ahmed, AH, Smail, L. Psychological climacteric symptoms and attitudes toward menopause among Emirati women. Int J Environ Res Public Health 2020; 17(14): 5028.
Google Scholar | Crossref27. Gupta, R, Deedwania, PC, Sharma, K, et al. Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study. PLoS ONE 2012; 7(8): e44098.
Google Scholar | Crossref | Medline28. Vladutiu, CJ, Siega-Riz, AM, Sotres-Alvarez, D, et al. Parity and components of the metabolic syndrome among US Hispanic/Latina women: results from the Hispanic community health study/study of Latinos. Circ Cardiovasc Qual Outcomes 2016; 9(2 Suppl. 1): S62–S69.
Google Scholar | Crossref | Medline29. Gunderson, EP, Murtaugh, MA, Lewis, CE, et al. Excess gains in weight and waist circumference associated with childbearing: The Coronary Artery Risk Development in Young Adults Study (CARDIA). Int J Obes Rel Metab Disord 2004; 28: 525–535.
Google Scholar | Crossref | Medline