J Menopausal Med.  2018 Aug;24(2):100-107. 10.6118/jmm.2018.24.2.100.

The Association between Oligomenorrhea, Onset of Menopause and Metabolic Syndrome in Thai Postmenopausal Women

Affiliations
  • 1Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. tawiwan.p@cmu.ac.th
  • 2Division of Reproductive Medicine, Department of Obstetrics and Gynaecology, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok, Thailand.

Abstract


OBJECTIVES
This study explored the association between a history of oligomenorrhea and onset of menopause and metabolic parameters.
METHODS
The study population was 605 postmenopausal women who were patients at the Menopause Clinic, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand between February 2015 and December 2015. A questionnaire was used to ask all women about their history of oligomenorrhea. The study also collected medical data, including weight, height, waist circumference, blood pressure, and blood glucose and lipid profile.
RESULTS
Of the 231 postmenopausal women with a complete data record, 31 had a history of oligomenorrhea and 200 did not. The age of onset of menopause was around 48 years in both groups. Prevalence of metabolic syndrome was 12.1%. More women with a waist circumference larger than 80 cm had a history of oligomenorrhea at the interview than women who had not, but a history of oligomenorrhea did not relate to other metabolic parameters. The adjusted odds ratio of a history of oligomenorrhea to waist circumference was 3.69 (95% confidence interval, 1.17-11.64).
CONCLUSIONS
A history of oligomenorrhea did not affect the age at menopause, but was associated with waist circumference during menopause.

Keyword

Anovulation; Menopause; Metabolic syndrome; Oligomenorrhea; Polycystic ovary syndrome

MeSH Terms

Age of Onset
Anovulation
Asian Continental Ancestry Group*
Blood Glucose
Blood Pressure
Female
Humans
Menopause*
Odds Ratio
Oligomenorrhea*
Polycystic Ovary Syndrome
Prevalence
Thailand
Waist Circumference
Blood Glucose

Reference

1. Chandeying P, Pantasri T. Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation. J Obstet Gynaecol Res. 2015; 41:1074–1079.
Article
2. Taponen S, Martikainen H, Järvelin MR, Laitinen J, Pouta A, Hartikainen AL, et al. Hormonal profile of women with self-reported symptoms of oligomenorrhea and/or hirsutism: Northern Finland birth cohort 1966 study. J Clin Endocrinol Metab. 2003; 88:141–147.
Article
3. Rickenlund A, Eriksson MJ, Schenck-Gustafsson K, Hirschberg AL. Amenorrhea in female athletes is associated with endothelial dysfunction and unfavorable lipid profile. J Clin Endocrinol Metab. 2005; 90:1354–1359.
Article
4. Taponen S, Ahonkallio S, Martikainen H, Koivunen R, Ruokonen A, Sovio U, et al. Prevalence of polycystic ovaries in women with self-reported symptoms of oligomenorrhoea and/or hirsutism: Northern Finland Birth Cohort 1966 Study. Hum Reprod. 2004; 19:1083–1088.
Article
5. March WA, Moore VM, Willson KJ, Phillips DI, Norman RJ, Davies MJ. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Hum Reprod. 2010; 25:544–551.
Article
6. Baptiste CG, Battista MC, Trottier A, Baillargeon JP. Insulin and hyperandrogenism in women with polycystic ovary syndrome. J Steroid Biochem Mol Biol. 2010; 122:42–52.
Article
7. Norman RJ, Dewailly D, Legro RS, Hickey TE. Polycystic ovary syndrome. Lancet. 2007; 370:685–697.
Article
8. Pantasri T, Vutyavanich T, Sreshthaputra O, Srisupundit K, Piromlertamorn W. Metabolic syndrome and insulin resistance in Thai women with polycystic ovary syndrome. J Med Assoc Thai. 2010; 93:406–412.
9. Biondi B, Klein I. Hypothyroidism as a risk factor for cardiovascular disease. Endocrine. 2004; 24:1–13.
Article
10. Charmandari E, Chrousos GP. Metabolic syndrome manifestations in classic congenital adrenal hyperplasia: do they predispose to atherosclerotic cardiovascular disease and secondary polycystic ovary syndrome? Ann N Y Acad Sci. 2006; 1083:37–53.
Article
11. Georgiopoulos GA, Stamatelopoulos KS, Lambrinoudaki I, Lykka M, Kyrkou K, Rizos D, et al. Prolactin and preclinical atherosclerosis in menopausal women with cardiovascular risk factors. Hypertension. 2009; 54:98–105.
Article
12. Jiang XB, Li CL, He DS, Mao ZG, Liu DH, Fan X, et al. Increased carotid intima media thickness is associated with prolactin levels in subjects with untreated prolactinoma: a pilot study. Pituitary. 2014; 17:232–239.
Article
13. Kim MS, Merke DP. Cardiovascular disease risk in adult women with congenital adrenal hyperplasia due to 21-hydroxylase deficiency. Semin Reprod Med. 2009; 27:316–321.
Article
14. Souza LL, Guedes EP, Teixeira PF, Moreira RO, Godoy-Matos AF, Vaisman M. Serum TSH levels are associated with cardiovascular risk factors in overweight and obese adolescents. J Pediatr (Rio J). 2016; 92:532–538.
Article
15. Taponen S, Martikainen H, Jarvelin MR, Sovio U, Laitinen J, Pouta A, et al. Metabolic cardiovascular disease risk factors in women with self-reported symptoms of oligomenorrhea and/or hirsutism: Northern Finland Birth Cohort 1966 Study. J Clin Endocrinol Metab. 2004; 89:2114–2118.
Article
16. Hsu MI. Changes in the PCOS phenotype with age. Steroids. 2013; 78:761–766.
Article
17. Shah D, Bansal S. Polycystic ovaries - beyond menopause. Climacteric. 2014; 17:109–115.
Article
18. Li J, Eriksson M, Czene K, Hall P, Rodriguez-Wallberg KA. Common diseases as determinants of menopausal age. Hum Reprod. 2016; 31:2856–2864.
Article
19. Saxena R, Bjonnes AC, Georgopoulos NA, Koika V, Panidis D, Welt CK. Gene variants associated with age at menopause are also associated with polycystic ovary syndrome, gonadotrophins and ovarian volume. Hum Reprod. 2015; 30:1697–1703.
Article
20. Tehrani FR, Solaymani-Dodaran M, Hedayati M, Azizi F. Is polycystic ovary syndrome an exception for reproductive aging? Hum Reprod. 2010; 25:1775–1781.
21. Solomon CG, Hu FB, Dunaif A, Rich-Edwards JE, Stampfer MJ, Willett WC, et al. Menstrual cycle irregularity and risk for future cardiovascular disease. J Clin Endocrinol Metab. 2002; 87:2013–2017.
Article
22. Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. 2010; 56:1113–1132.
23. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, 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; 120:1640–1645.
24. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005; 112:2735–2752.
25. Hara K, Matsushita Y, Horikoshi M, Yoshiike N, Yokoyama T, Tanaka H, et al. A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population. Diabetes Care. 2006; 29:1123–1124.
Article
26. Aekplakorn W, Mo-Suwan L. Prevalence of obesity in Thailand. Obes Rev. 2009; 10:589–592.
Article
27. Poehlman ET. Menopause, energy expenditure, and body composition. Acta Obstet Gynecol Scand. 2002; 81:603–611.
Article
28. Davis SR, Castelo-Branco C, Chedraui P, Lumsden MA, Nappi RE, Shah D, et al. Understanding weight gain at menopause. Climacteric. 2012; 15:419–429.
Article
29. Han TS, Lean ME. A clinical perspective of obesity, metabolic syndrome and cardiovascular disease. JRSM Cardiovasc Dis. 2016; 5:2048004016633371.
Article
30. Kyrou I, Randeva HS, Tsigos C, Kaltsas G, Weickert MO. Clinical problems caused by obesity. In : De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, editors. Endotext. South Dartmouth, MA: MDText.com, Inc.;2000.
31. Rutter MK, Sullivan LM, Fox CS, Wilson PW, Nathan DM, Vasan RS, et al. Baseline levels, and changes over time in body mass index and fasting insulin, and their relationship to change in metabolic trait clustering. Metab Syndr Relat Disord. 2014; 12:372–380.
Article
32. Aekplakorn W, Kessomboon P, Sangthong R, Chariyalertsak S, Putwatana P, Inthawong R, et al. Urban and rural variation in clustering of metabolic syndrome components in the Thai population: results from the fourth National Health Examination Survey 2009. BMC Public Health. 2011; 11:854.
Article
33. Aekplakorn W, Chariyalertsak S, Kessomboon P, Sangthong R, Inthawong R, Putwatana P, et al. Prevalence and management of diabetes and metabolic risk factors in Thai adults: the Thai National Health Examination Survey IV, 2009. Diabetes Care. 2011; 34:1980–1985.
34. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002; 287:356–359.
Article
35. Indhavivadhana S, Rattanachaiyanont M, Wongvananurak T, Kanboon M, Techatraisak K, Leerasiri P, et al. Predictors for metabolic syndrome in perimenopausal and postmenopausal Thai women. Climacteric. 2011; 14:58–65.
Article
36. Chompootweep S, Tankeyoon M, Yamarat K, Poomsuwan P, Dusitsin N. The menopausal age and climacteric complaints in Thai women in Bangkok. Maturitas. 1993; 17:63–71.
Article
37. Gold EB, Bromberger J, Crawford S, Samuels S, Greendale GA, Harlow SD, et al. Factors associated with age at natural menopause in a multiethnic sample of midlife women. Am J Epidemiol. 2001; 153:865–874.
Article
38. Dumesic DA, Lobo RA. Cancer risk and PCOS. Steroids. 2013; 78:782–785.
Article
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