|Year : 2012 | Volume
| Issue : 1 | Page : 24-30
Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India
Shruti Dasgupta1, Mohammed Salman2, S Lokesh3, D Xaviour4, S Yaseen Saheb4, BV Ravi Prasad4, Biswanath Sarkar5
1 Anthropological Survey of India, Southern Regional Centre, Mysore; Department of Studies in Biotechnology, University of Mysore, Mysore, India
2 Anthropological Survey of India, Southern Regional Centre; Department of Studies in Biochemistry, University of Mysore, Mysore, India
3 Department of Studies in Biotechnology, University of Mysore, Mysore, India
4 Anthropological Survey of India, Southern Regional Centre, Mysore, India
5 Anthropological Survey of India, 27- Jawaharlal Nehru Road, Kolkata, West-Bengal, India
|Date of Web Publication||20-Jul-2012|
Anthropological Survey of India, Southern Regional Centre, Manav Bhavav, Stage, 2nd Bogadi North, Mysore 570 026
Source of Support: Anthropological Survey of India, Kolkata Ministry of Culture, Government of India., Conflict of Interest: None
| Abstract|| |
Context: Increased incidences of cardiovascular disorder and metabolic syndrome particularly after menopause have raised curiosity for the underlying factors. However, it is still a debate whether age or menopausal transition is a greater contributor.
Aims: To elucidate the inter-relationships of age, menopause, and associated obesity and to assess their independent effects on aggravation of cardio metabolic risk factors in postmenopausal women.
Settings and Design: Four hundred two women aged between 30 and 75 years were recruited in a cross-sectional study from Southern India. Three hundred sixteen participants exempting exclusion criteria, comprising of 169 premenopausal and 147 postmenopausal women were finally included.
Materials and Methods: Anthropometric measurements such as weight, height, waist circumference (WC), hip circumference (HC), fat percentage, basal metabolic rate (BMR), and blood pressure were taken. Fasting plasma glucose, postprandial glucose, glycated hemoglobin (HbA1c), lipid profile, and C-reactive protein (CRP) were also measured.
Statistical Analysis Used: Independent t-test, Analysis of covariates (ANCOVA), Pearson's correlation coefficients and multiple stepwise linear regression model analysis were done.
Results: A significant increase in physical and metabolic factors was observed in postmenopausal women compared to premenopausal women except WC and HbA1c. Contrastingly, high-density lipoprotein cholesterol (HDL) levels and BMR were significantly decreased. After adjusting for BMI and age, the significant differences in the variables through the menopausal transition persisted, including an increase in WC. Significant correlation was observed between age and measures of general obesity such as BMI (P < 0.05) and fat percentage (P < 0.001) but not with central obesity indices. Menopausal status and WC exerted an independent effect on most of the metabolic risk factors (P < 0.001 or P < 0.01). Fat percentage was the predicting variable for CRP, HbA1c, diastolic blood pressure (P < 0.001), and HDL (P < 0.01). But Age showed independent effect only on HbA1c.
Conclusions: Menopausal transition brings about anomalies in total body composition characterized by an increased body fat mass and central adiposity. This creates a compatible atmosphere for abnormal metabolism and aggravated cardio metabolic risk factors. Thus, menopausal status and associated obesity is the major predictor of metabolic aberrations over age in menopausal women.
Keywords: Cardiometabolic risk, cardiovascular disease, hormonal transition, menopause, metabolic syndrome, obesity
|How to cite this article:|
Dasgupta S, Salman M, Lokesh S, Xaviour D, Saheb S Y, Ravi Prasad B V, Sarkar B. Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India. J Mid-life Health 2012;3:24-30
|How to cite this URL:|
Dasgupta S, Salman M, Lokesh S, Xaviour D, Saheb S Y, Ravi Prasad B V, Sarkar B. Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India. J Mid-life Health [serial online] 2012 [cited 2019 Oct 17];3:24-30. Available from: http://www.jmidlifehealth.org/text.asp?2012/3/1/24/98814
| Introduction|| |
In recent decades, the influence of globalization has played a pivotal role in the makeover of women's lifestyle with the considerable emergence of risk factors such as, central adiposity, glycemic abnormality, cardiovascular disease (CVD), dyslipidemia, and hypertension. ,,, The prognosis and case history of CVD are different in men and women. Among women, the risk of CVD accredited to metabolic syndrome (MS) shown to be particularly high, and it is estimated half of all cardiovascular events in women is related to MS.  Despite the increase of MS and CVD incidence among women notably following menopause, the underlying effect of menopause on cardio metabolic risk factors remain ill-defined.
Menopause is a biological process characterized by cessation of the menstrual cycle in women with a decline in age approximately between 40 and 60 years but naturally observed at 51 years.  The hormonal alterations during the menopausal transition contribute more to the changes in the distribution of body fat than general obesity, which has been demonstrated by increased abdominal fat deposition influenced by low estrogen and high androgen.  It was reported that there are 49% increase in abdominal fat and 22% increment of the subcutaneous fat of women in the postmenopausal stage compared to premenopausal women suggesting that the ultimate change after menopause is associated with obesity linked traits such as a high proportion of the body fat mass and central adiposity.  Obesity in turn is directly related to the development of a group of chronic noncommunicable diseases (NCDs), including insulin resistance, diabetes, and CVD ,,, This constitutes the first cause of mortality in menopausal women. 
Predominantly, menopause is a phenomenon of aging in women. Aging is accompanied by physical inactivity and decrease in energy metabolism associated with the increase in food intake, which contributes to weight gain. Higher waist diameters and waist-to-hip ratios in older women in a couple of studies substantiate the effect of age on regional body composition of women. , Altered body composition and fat distribution during the initial phase of post menopause have been attributed to age than menopause in a few studies. However, menopause-linked differences have not been entirely rooted out.  Besides this, an obvious influence of aging has also been found on cardio metabolic risks aggravating in menopausal women.  Even so, it is still a debate, whether this cardio metabolic aberration are because of the changing hormonal milieu with declining estrogen at menopausal transition, or it is just the consequence of aging and sedentary lifestyle causing general obesity.
It has been reported that the Asia-Pacific population is edging towards developing diabetes, CVD or hypertension at a lower BMI than the rest of ethnic populations due to the tendency of having a higher body-fat percentage and central adiposity without developing general obesity. , As far as Asian Indians are concerned, very few studies have been undertaken to identify the components of the MS following menopause. Moreover, it is evident that Indian women may be comparatively worse off than men with regard to the risk factors for CVD. , For better comprehension of the condition, it would be useful to compare pre- and postmenopausal women. Therefore, this study aims to elucidate the interrelationships of age, menopause and related obesity and evaluate their independent effects on aggravation of cardio metabolic risk factors.
| Materials and Methods|| |
Study design and sample characterization
The study was approved by Institutional Ethical Committee (IOE), Anthropological Survey of India, Kolkata. With prior informed consent, a total of 402 women aged between 30 and 75 years were enrolled in the cross-sectional study with subsequent medical camps in random sectors, in and around Mysore, Karnataka, India. However, only 316 women were included in the study following exclusion criteria, which were diseases influencing body weight like abnormal thyroid (15 cases) and diabetes (46 cases) or undergoing a diet plan or regular physical activity (3 cases). Most of them were classified as sedentary workers on enquiring about their occupation and day-to-day activities. Hysterectomized or ovariectomized women (20 cases) with malignancies (two cases) were excluded. None of the participants were under medication, which might have influenced their body weight (e.g., glucocorticoid, pioglitazone, lipid lowering agents, antidepressants or under infertility treatment). None of them ever used hormone therapy (HT) either. The subjects were grouped into two groups one those who are in transitional or climacteric phase that is the perimenopausal phase, which extends two years before the last menstruation and followed by one year of amenorrhea with menstruation irregularities and pre menopausal stage defined as women at climacteric age with certain physiological changes but still have a regular menstrual cycle. Another group of women with complete cessation of the menstrual cycle for more than a year but not because of surgical resection of the uterus or ovaries called to be on postmenopausal stage. Finally, 147 postmenopausal women and 169 pre menopausal women were accepted for the study.
A standardized questionnaire was administered that included a personal and family history of chronic disorders, gynecological anomalies, medication intake, physical activity, dietary information, alcoholism, and smoking status. Anthropometric measurements such as height, weight, waist (WC) and hip circumference (HC) were taken. Height was measured using Holtain Anthropometric rod and weight was taken with lighter clothing, and no foot wears. Waist circumference (WC) was measured at the midpoint at the bottom of the rib cage and the top of the lateral border of the iliac crest during minimal respiration. The Omron fat monitor was used to measure total body-fat percentage, basal metabolic rate (BMR) and body mass index (BMI). BMI above 25 kg/m 2 was considered as obese  A standard mercury sphygmomanometer was used to record systolic (SBP) and diastolic blood pressures (DBP) in the first and fifth Korotkoff sounds.
Venous blood (12 h fasting) was collected to asses glucose, high-density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), triglyceride, total cholesterol, glycated hemoglobin (HbA1c) using plasma with the help of automated biochemical analyzer EM360 Transasia, and ERBA kits. Postprandial plasma glucose (PGLU) was measured after 2 hours of administering 75 g of glucose to the subjects (WHO, OGTT).
All the analysis was done using SPSS 11.5. The independent t-test was used for describing the characteristic difference between the groups. Analysis of covariates (ANCOVA), adjusted for age and BMI, was used to evaluate the affect menopausal status on physical and metabolic factors. Pearson's correlation coefficients were measured to assess the interrelationship between age, obesity traits and cardio metabolic risk factors in all the subjects. Multiple stepwise linear regression model analysis was applied to determine the independent effect of age, menopause, general obesity, and central obesity on each different cardio metabolic risk factors. The colinearity between different traits of general (BMI and total body-fat percentage) or central obesity (WHR or WC) was evaluated by tolerance values. If high colinearity existed between two variables defining same characteristic, only one among them was selected for stepwise regression.
| Results|| |
The comparative statistics (t-test and ANCOVA) between the groups is given in [Table 1] and [Table 2]. Postmenopausal women were significantly of higher age, weight, fat percentage (P < 0.001), BMI and WHR (P < 0.01), and lower height and BMR (P < 0.001) than pre menopausal women. The levels of cardio metabolic risk factors were found to be elevated in postmenopausal women than premenopausal women except for lower HDL. After adjusting for BMI and age in the analysis of covariance, the mentioned menopause-associated differences in anthropometric and metabolic parameters was not consistent. Though WC showed a significant increase in postmenopausal women after adjustment but HDL, fasting glucose, postprandial glucose, and CRP levels seized to show any significant difference. HbA1c did not differ with menopausal status.
|Table 1: Comparison of anthropometric factors between pre- and postmenopausal women|
Click here to view
|Table 2: Comparison of metabolic factors between pre- and postmenopausal women|
Click here to view
Correlations between the physical and metabolic parameters have been shown in [Table 3] with significant Pearson's coefficients discernibly marked. Age was found to be positively correlated with systolic blood pressure, fasting glucose, triglyceride, cholesterol, LDL levels and fat percentage (P < 0.001), weight (P < 0.01), BMI, postprandial glucose, HbA1c, and diastolic blood pressure (P < 0.05). Conversely, it is negatively correlated with height, HC (P < 0.01), and BMR (P < 0.001). Significant correlations were also established between BMI, diastolic BP, triglyceride, cholesterol, LDL cholesterol, and HbA1c levels. Only fat percentage was found to be significantly associated with CRP positively and with HDL inversely. Although WC showed correlations with each of the metabolic factors except CRP and HDL but WHR showed mild association with triglyceride levels only. Strong correlations were observed between HC and levels of HbA1c and LDL. BMR showed significant correlations with HbA1c, LDL and diastolic blood pressure.
|Table 3: Pearson correlation coefficients between anthropometric and cardiometabolic risk factors of 316 women|
Click here to view
The colinearity was tested between the independent variables, such as age, BMI, fat percentage, WHR or WC, and menopausal status. For the total subjects, the levels of tolerance between independent variables were, age = 0.289, menopausal status = 0.293, fat percentage = 0.692, WC = 0.720. Since low colinearity was observed between the variables to say; age, menopausal status, fat percentage and WC, they were finally considered as independent variables for multiple stepwise regression analysis for each of the cardiometabolic risk factors. [Table 4], shows the multiple stepwise regression standardized coefficient and R2 value for the accepted model for each dependent variable.
|Table 4: Effects of age, menopausal status and measures of obesity on cardiometabolic risk factors|
Click here to view
Menopausal status was found to be an independent factor for fasting and postprandial glucose, blood pressure, triglyceride, cholesterol, and LDL. WC was a significant predictor of almost all cardio metabolic risk factors except for diastolic BP and CRP. Total fat percentage showed its positive independent effect on glycated hemoglobin A1c, diastolic blood pressure, and CRP but negative effect on HDL levels. However, age was observed to have independent effect only on HbA1c to some level.
| Discussion|| |
This study hypothesized that menopause induced obesity is a major determinant of abnormal metabolic profiles in menopausal women. Thus, this study aimed at clarifying the controversial idea of whether the age or menopausal transition is the leading and independent cause for cardiometabolic risk factors aberration. Most of the studies on the prevalence of MS among Indian women and women across the world have shown a higher percentage of MS in postmenopausal women consistently based on comparative statements on metabolic components between pre and post menopausal groups. ,,,, In a study in eastern India, revealed significant differences in lipid metabolism, plasma glucose and blood pressure between the subjects who differed primarily in their menopausal state independent of age and BMI.  The studies on French, North Taiwanese and Chinese women, showed invariably similar results. ,, In our study population, a significant rise in LDL, cholesterol, triglyceride and blood pressure was observed in postmenopausal women after adjusting for covariates age and BMI. However, HDL levels remained unchanged as in Chinese, in contrast to the studies suggesting a rise or fall. ,,,,,,, Circulating CRP level is elevated in, metabolically abnormal Type 2 diabetes, used as a marker for CVD, obesity and diagnosis of MS.  In addition, CRP level is an important correlate of use of HT among postmenopausal women.  However, we did not find a significant difference between the groups after adjusting for the confounders, may be because of the elimination of women under HT and relatively small sample size in our study. The significant differences in variables that was observed in our study prior to confounder optimization could not be followed post adjustments, might be due to colinearity in the variables.
Customarily, with other reports, we ascertained increase in the body fat mass and central obesity with menopause, independent of age and BMI. Furthermore, lower BMR at menopause indicative of decreased energy expenditure and relatively more physical inactivity, ultimately grounds for the afore mentioned increments. ,,,,,[ 37] Therefore, the result seemed to support the distinctive effect of menopause on changes in physical characteristic and total body composition of post-menopausal women.
Previous studies have confirmed the remarkable role of intra abdominal fat mass and central obesity in worsening of CVD risk indices after menopause. ,,,[ 40] Thus, a strong and significant association of the WC with almost every metabolic risk factor and correlation of total body-fat percentage with the major components such as glucose, triglyceride, HDL, CRP, and blood pressure in this study reflects the decisive role of central adiposity and fat composition for metabolic anomalies after menopause.
Studies contributing to causal attributes for high prevalence of metabolic risk factors after menopause are few and found contradicting to each other. Gohle et al,  demonstrated an increase in the incidence of CVD with postmenopausal phase and Framingham Cohort showed that the women with surgical or early menopause are also at higher risk. Contrastingly in a cross-sectional study in Brazil aging was reported as the primary factor for the increase in MS at menopause. , However, Chang et al, reported independent effects of age as well as menopause to mediate worsened CVD risk factors in postmenopausal women. A recent study on Iranian women demonstrated menopausal status as a predictor of MS independent of age.  In our study, although age showed a significant correlation with measures of general obesity (fat percentage and BMI) and many of the metabolic risk factors but failed to show its independent effect on them except for HbA1c in regression models. Also no significant association was observed between age and central obesity measures (WC and WHR). Whereas the WC, have not only shown stronger correlations with almost all risk variables but also found to have its independent effect on components of the cardio metabolic risk factors. Besides, menopausal status and body-fat percentage showed a remarkable predicting effect. Collectively, it can be suggested that age may be one of the factors for obesity in menopausal women but may not be an independent cause for metabolic abnormalities. However, central fat accumulation during menopausal transverse can be accredited for alterations in risk variables.
The conflicts in the past studies encompassing menopause-related differences, and their predicting factors are explained by improper methods for measuring risk variables, inclusion and exclusion criteria for study subjects and confounding factor's influences. Thus, we have tried to circumvent the devastating effect of these facets to obtain a convincing result. Though very few studies have been reciprocated in an Asian Indian population with a similar object, but are accountable for suggesting that menopause plays a vital role to alter body composition and post-menopausal women are more prevalent to MS, thus are at higher risk for cardiovascular problems. ,,, As per the author's knowledge, this study is the first attempt to predict the probable causes for menopause-related differences in a woman's physiology in Indian subcontinent. But the results are not evocative of generalizing to the Asian Indian population owing to the socioeconomic and regional diversity. Also woman's lifestyle pertaining to quantum of regular physical activity and nutrition plays an inevitable role in life, after menopause. Thus, the lack of elaborated measures for afore said factors can be a limitation in the present study.
| Conclusion|| |
The postmenopausal women are at higher risk of developing MS and associated disorders than premenopausal women. The hormonal transition at menopause leads to augmentation in general and central obesity which in turn independently causes abnormalities in metabolic risk variables. Though aging could not show a convincing independent influence but relative physical inactivity and falling BMR with age after menopause may be accountable for menopausal obesity. Thus, it can be documented that menopausal status and related central obesity is the major predictor above the age, for metabolic risks in menopausal women of Karnataka South India. Finally, the rest of the variances of the risk variables may be ascribed to the genetic entities in menopausal women.
| Acknowledgments|| |
This work is a part of the Anthropological Survey of India, project Entitled "People of India: Bio cultural adaptations"; we express our gratitude to the Director, Anthropological Survey of India, Ministry of Culture, Government of India, Kolkata for supporting the project. We are thankful to all subjects Mysore, Karnataka who voluntarily participated in this study and provided blood samples. We are also thankful to Lions Club Mysore, Dr. Vikas Modi and Dr. Ramakrishna of Amritakripa Hospital, Rupanagar, Mysore and paramedical staff for organizing medical camps and extending their valuable help during the collection of samples. Thanks are due to our colleagues Ms. Lakshmi, Mr. Abrar Alam, Ms. Pratiksha Bhat, and Dr. Pushpa Jogihalli for their sincere involvement at various levels in this project. Authors would also like to thank the officials of Anthropological Survey of India for providing technical and administrative support.
| References|| |
|1.||Kannel WB, Hjortland MC, McNamara PM, Gordon T. Menopause and risk of cardiovascular disease: The Framingham study. Ann Intern Med 1976;85:447-52. |
|2.||Matthews KA, Meilahn E, Kuller LH, Kelsey SF, Caggiula AW, Wing RR. Menopause and risk factors for coronary heart disease. N Engl J Med 1989;321:641-6. |
|3.||Torng PL, Su TC, Sung FC, Chien KL, Huang SC, Chow SN, et al. Effects of menopause and obesity on lipid profiles in middle-aged Taiwanese women: The Chin-Shan Community Cardiovascular Cohort Study. Atherosclerosis 2000;153:413-21. |
|4.||Carr MC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab 2003;88:2404-11. |
|5.||Wilson PW, Kannel WB, Silbershatz H, D'Agostino RB. Clustering of metabolic factors and coronary heart disease. Arch Intern Med 1999;159:1104-9. |
|6.||Kok HS, van Asselt KM, van der Schouw YT, Peeters PH, Wijmenga C. Genetic studies to identify genes underlying menopausal age. Hum Reprod Update 2005;11:483-93. |
|7.||Poehlman RT, Toth MJ, Gardner AW. Changes in energy balance and body composition at menopause: A controlled longitudinal study. Ann Intern Med 1995;123:673-5. |
|8.||Toth MJ, Tchernof A, Sites CK, Poehlman ET. Effect of menopausal status on body composition and fat distribution. Int J Obes Relat Metab Disord 2000;24:226-31. |
|9.||Liu Y, Ding J, Bush TL, Longenecker JC, Nieto FJ, Golden SH, et al. Relative androgen excess and increased cardiovascular risk after menopause: A hypothesized relation. Am J Epidemiol 2001;154:489-94. |
|10.||Kahn SE, Prigeon RL, Schwartz RS, Fujimoto WY, Knopp RH, Brunzell JD, et al. Obesity, body fat distribution, insulin sensitivity and islet á-cell function: Explanations for the metabolic diversity. J Nutr 2001;131:354S-60S. |
|11.||Grundy SM, Grundy SM. Obesity, metabolic syndrome and cardiovascular disease. Clin Endocrinol Metab 2004;89:2595-600. |
|12.||Mosca L, Banka CL, Benjamin EJ, Berra K, Bushnell C, Dolor RJ, et al. Evidence-based guidelines for cardiovascular disease in women prevention. Circulation 2007;115:1481-501. |
|13.||Mazariegos M, Wang ZM, Gallagher D, Baumgartner RN, Allison DB, Wang J, et al. Differences between young and old females in the five levels of body composition and their relevance to the two- compartment chemical models. J Gerontal 1884;49;201-8. |
|14.||Baumgartner RN, Rhyne RL, Garry PJ, Chumlea WC. Body composition in the elderly from magnetic resonance imaging: Associations with cardiovascular disease risk factors. Basic Life Sci 1993;60:35-8. |
|15.||Wang Q, Hassager C, Ravn P, Wang S, Christiansen C. Total and regional body-composition changes in early postmeno-pausal women: Age-related or menopause-related? Am J Clin Nutr 1994;60:843-8. |
|16.||Chang CJ, Wu CH, Yao WJ, Yang YC, Wu JS, Lu FH. Relationships of age, menopause and central obesity on cardiovascular disease risk factors in Chinese women. Int J Obes 2000;24:1699-704. |
|17.||World Health Organisation (WHO)/International Association for the Study of Obesity (IASO)/International Obesity Task Force (IOTF). The Asia-Pacific perspective: Redefining obesity and its treatment. Sydney: Health Communication, 2000. |
|18.||Mc Keigue PM, Shah B, Marmot MG. Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians. Lancet 1991;337:382-6. |
|19.||Mahajan D, Bermingham MA. Risk factors for coronary heart disease in two similar Indian population group: One residing in India and the other in Sydney, Australia. Eur J Clin Nutr 2004;58:751-60. |
|20.||Ghosh A. Anthropometric, metabolic and dietary fatty acids characteristics in lean and obese dyslipidaemic Asian Indian women in Calcutta. Food Nutr Bull 2007;28:399-405. |
|21.||Pandey S, Srinivas M, Agashe S, Joshi J, Galvankar P, Prakasam CP, et al. Menopause and metabolic syndrome: A study of 498 urban women from western India. J Midlife Health 2010;1:63-9. |
|22.||Bhagat M, Mukherjee S, De P, Goswami R, Pal S, Das M, et al. Clustering of cardio metabolic risk factors in Asia Indian women: Santiniketan women study. Menopause 2010;17:359-64. |
|23.||Tandon VR, Mahajan A, Sharma S, Sharma A. Prevalence of cardiovascular risk factors in postmenopausal women: A rural study. J Midlife Health 2010;1:26-9. |
|24.||Ghosh A. Comparison of risk variables associated with the metabolic syndrome in pre - and postmenopausal Bengalee women. Cardiovasc J Afr 2008;19:183-7. |
|25.||Ruan X, Jin J, Hua L, Liu Y, Wang J, Liu S. The prevalence of metabolic syndrome in Chinese post menopausal women and the optimum body composition indices to predict it. Menopause 2010;17:566-70. |
|26.||Tremollieres FA, Pouilles JM, Cauneille C, Ribot C. Coronary heart disease risk factors and menopause: A study in 1684 French women. Atherosclerosis 1999;142:415-23. |
|27.||Lin WY, Yang WS, Lee LT, Chen CY, Liu CS, Lin CC, et al. Insulin resistance, obesity, and metabolic syndrome among non-diabetic pre- and post-menopausal women in North Taiwan. Int J Obes (Lond) 2006;30:912-7. |
|28.||Azizi F, Ainy E. Coronary heart disease risk factors and menopause: A study in 1980 Tehranian women, the Tehran lipid and glucose study. Climacteric 2003;6:330-6. |
|29.||Kim CJ, Kim TH, Ryu WS, Ryoo UH. Influence of menopause on high density lipoprotein-cholesterol and lipids. J Korean Med Sci 2000;15:380-6. |
|30.||Torng PL, Su TC, Sung FC, Chien KL, Huang SC, Chow SN, et al. Effects of menopause on intra individual changes in serum lipids, blood pressure, and body weight-the Chin-Shan Community Cardiovascular Cohort study. Atherosclerosis 2002;161:409-15. |
|31.||Cheal KL, Abbasi F, Lamendola C, McLaughlin T, Reaven GM, Ford ES. Relationship to insulin resistance of the adult treatment panel III diagnostic criteria for identification of the metabolic syndrome. Diabetes 2004;53:1195-200. |
|32.||Pickup JC, Mattock MB, Chusney GD, Burt D. NIDDM as a disease of the innate immune system: Association of acute-phase reactants and interleukin-6 with metabolic syndrome X. Diabetologia 1997;40:1286-92. |
|33.||Barinas-Mitchell E, Cushman M, Meilahn EN, Tracy RP, Kuller LH. Serum levels of C-reactive protein are associated with obesity, weight gain and hormone replacement therapy in healthy postmenopausal women. Am J Epidemiol 2001;153:1094-101. |
|34.||Bjorkelund C, Lissner L, Andresson S, Lapidus L, Bengtsson C. Reproductive history in relation to relative weight and fat distribution. Int J Obes Relat Metab Disord 1996;20:213-9. |
|35.||Tremollieres FA, Pouilles JM, Ribot CA. Relative influence of age and menopause on total and regional body composition changes in postmenopausal women. Am J Obstet Gynecol 1996;175:1594-600. |
|36.||Kirchengast S, Gruber D, Sator M, Hartmann B, Knogler W, Huber J. Menopause-associated differences in female fat patterning estimated by dual-energy X-ray absorptiometry. Ann Hum Biol 1997;24:45-54. |
|37.||Svendsen OL, Hassager C, Christiansen C. Age and menopause associated variations in body composition and fat distribution in healthy women as measured by dual energy X-ray absorptiometry. Metabolism 1995;44:369-73. |
|38.||Hunter GR, Kekes-Szabo T, Treuth MS, Williams MJ, Goran M, Pichon C. Intra-abdominal adipose tissue, physical activity and cardiovascular risk in pre- and post-menopausal women. Int J Obes Relat Metab Disord 1996;20:860-5. |
|39.||Williams MJ, Hunter GR, Kekes-Szabo T, Snyder S, Treuth MS. Regional fat distribution in women and risk of cardio-vascular disease. Am J Clin Nutr 1997;65:855-60. |
|40.||Gower BA, Nagy TR, Goran MI, Toth MJ, Poehlman ET. Fat distribution and plasma lipid-lipoprotein concentrations in pre- and postmenopausal women. Int J Obes 1998;22:605-11. |
|41.||Gohlke-Barwolf C. Coronary artery disease: Is menopause a risk factor? Basic Res Cardiol 2000;95:177-83. |
|42.||Dorum A, Tonstad S, Liavaag AH, Michelsen TM, Hildrum B, Dahl AA. Bilateral oophorectomy before 50 years of age is significantly associated with the metabolic syndrome and Framingham risk score: A controlled, population-based study (HUNT-2). Gynecol Oncol 2008;109:377-83. |
|43.||Eshtiaghi R, Esteghamati A, Nakhjavani M. Menopause is an independent predictor of metabolic syndrome in Iranian women. Maturitas 2010;65:262-6. |
|44.||Figueirido Neto JA, Figueredo ED, Barbosa JB, Barbosa Fde F, Costa GR, NinaVJ, et al. Metabolic syndrome and menopause: Cross sectional study in gynecology clinic. Arq Bras Cardiol 2010;95:339-45. |
|45.||Shah D. The annual conference of the British menopause society. J Midlife Health 2010;1:48-50. |
[Table 1], [Table 2], [Table 3], [Table 4]