Skip to main content

Excess weight and abdominal obesity in postmenopausal Brazilian women: a population-based study

Abstract

Background

The menopause is associated with a tendency to gain weight. Several alterations in fat deposits occur, leading to changes in the distribution of body fat. There are strong indications that, in middle age, obesity is associated with increased mortality. This study set out to determine the factors associated with the prevalence of overweight and abdominal obesity in postmenopausal women in a population-based study in Brazil.

Methods

The sample included 456 women, aged 45–69 years, residing in the urban area of Maringa, Parana. Systematic sampling, with a probability proportional to the size of the census sector, was performed. Behavioral, economic, and sociodemographic data were collected, and body mass index (BMI) and waist circumference (WC) were determined.

Results

According to BMI criteria (≥25.0 kg/m2), 72.6% of the women were overweight, and according to WC (≥88 cm), 63.6% had abdominal obesity. Based on logistic regression analysis, the factors that were most closely associated with overweight were: having three or more children (odds ratio (OR): 1.78; 95% confidence interval (CI): 1.06–3.00); and not taking hormone replacement therapy (OR: 1.69; 95% CI: 1.06–2.63). The prevalence of abdominal obesity was positively associated with greater parity (OR: 1.34, 95% CI: 1.05–1.72) and age older than 65 years (OR: 1.50; 95% CI: 1.03–2.19).

Conclusions

This study found that the prevalences of overweight and abdominal obesity were higher for postmenopausal women who had three or more children. Age over 65 years was also a risk factor for abdominal obesity and no use of hormonal replacement therapy was a risk factor for overweight.

Peer Review reports

Background

The incidence of excess body weight among women is increasing worldwide to epidemic proportions [1]. The arrival of the menopause in middle age is associated with a tendency to gain weight [2, 3]. It is estimated that the prevalence of obesity among women aged 40–59 years in the United States is approximately 38.2%, while the prevalence of overweight and obesity is 66.3% [4]. In Brazil, data from the Family Budget Study (Pesquisa de Orçamento Familiar, POF) revealed that 58.0% and 63.0% of women aged 45–54 and 55–64 years of age, respectively, were overweight, and, of these, 21.5% and 26.0%, respectively, were obese [5]. There are strong indications that in middle age, obesity is associated with increased mortality [6].

Several alterations in fat deposits occur with the advent of the menopause, leading to a change in the distribution of body fat. Hypoestrogenism has a negative effect on fat metabolism, favoring the appearance of central-body obesity [7, 8]. The North American Menopause Society [2] states that aging, lifestyle, and behavioral factors, such as a lack of exercise and increase in food consumption, are closely linked with weight gain in the menopause. Several studies have been conducted in an attempt to characterize the factors associated with obesity in the menopause [912]; however, as far as we are aware, there are few published population-based studies which have evaluated the factors associated with overweight and abdominal obesity in postmenopausal women.

A retrospective study based on an analysis of hospital charts associated postmenopausal obesity with older age, greater parity, a less intense smoking habit, a shorter menopausal period, and a surgical menopause [11]. Among women who were seen in outpatient clinics, the proportion with abdominal obesity was higher among those with 7 years or less of schooling, and who were sedentary or insufficiently active [10]. One population-based study performed in Brazil, which was carried out in the municipality of Rio de Janeiro in 1996, concluded that the association between the menopause and overweight was not linked with age or physical inactivity [13]. Only population-based health studies make it possible to collect data to determine the indicators associated with health and disease, as well as the risk factors and social determinants of the health/disease process [14].

In view of these considerations, the objective of this study was to evaluate the factors associated with the prevalence of overweight and abdominal obesity in postmenopausal women in Brazil, by means of a population-based study.

Methods

This cross-sectional, population-based study included women aged 45–69 years, residing in the urban area of the municipality of Maringa, state of Paraná, Brazil, between December 2010 and June 2011. The women had ceased menstruation for at least 12 months and had a natural menopause. This latter criterion was established since women who had a hysterectomy would not have undergone the temporal hormonal and psychological changes typical of the climacteric period. Women with insulin-dependent diabetes, uncontrolled hypertension or diseases of the thyroid were excluded from the study. The study was approved by the Standing Committee on Ethics in Research on Human Beings of the Federal University of Maringa (Protocol No. 201/2010).

The sample size was estimated with the objective of ensuring that it was representative of the population. It was calculated using data of the female population of the Municipality of Maringa aged 45–69 years in the Demographic Census reported by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatistica, IBGE) [15] in the year 2000, and the projected population in the year 2009, which totaled 36,023 women. Using a confidence interval (CI) of 95% (z =1.96), the estimate of the sample should be within ± 5% (e) of the real proportion of the population of women in this age range. The statistical model n = z2[p(1-p)]:e2 for infinite populations (N > 10,000) was used, which provided the sample size, in this case 380 women. To calculate the sample, the statistics program Epi-Info version 3.5.1. (CDC, Atlanta, GA, USA) was used, with a CI of 0.95 and a margin of error of 0.05. With the addition of 20%, in case of possible losses and/or refusals to participate, the total sample size was 456 women.

For the present study, the reference unit for sample selection was the census sectors of the municipality, according to IBGE; the primary sampling unit was the census sectors, and the secondary units were the households. A systematic sampling strategy was used, with the probability proportional to the size of the sector.

The Municipality of Maringa contains, according to IBGE, 407 census sectors, and 368 sectors characterized as urban areas were included in this study. In order to obtain a representative randomness, systematic sampling was used to select the households. From a map of the blocks enumerated in each census sector, the starting point of the survey as well as the start of each sector were randomly selected, with movement in a clockwise direction. For each sector, a simple random sample proportional to the number of women residing in each of these sectors was selected to obtain the total sample size (N = 456).

Because the number of women to be interviewed in each sector was proportional to its size, and to best compensate for any effect of the neighborhood, one household was randomly selected, and the next three were skipped. If no woman resided in the house selected, the interviewer moved to the next, and this process was repeated for each interview. If more than one eligible woman lived in the home, one was randomly chosen for interview.

The home visits included the use of a face-to-face questionnaire and measurement of anthropometric parameters (weight, height, and waist size) after informed consent had been obtained from the subject. In order to standardize the procedure of taking objective measurements, all the field researchers received identical training. The questionnaire was pre-tested on 30 women in the same age range as in the study, in the area of a Local Health Unit (Unidade Local de Saúde) of the municipality. A pilot study was carried out with 30 subjects in one census sector, which was randomly selected from among the sectors that were not included in the study itself.

The primary variables evaluated in the study were body mass index (BMI) and waist circumference (WC). Body weight and height were recorded in duplicate, and the BMI was calculated later to determine the women’s current weight class based on the World Health Organization [16] definition of overweight as BMI ≥25.0 kg/m2, and obesity as BMI ≥30.0 kg/m2. For the purposes of the present evaluation, WC ≥88 cm was considered to indicate the presence of abdominal obesity [17].

The secondary measurements or independent variables evaluated were: age (calculated in full years on the date of the interview and stratified into three groups: 45–54; 55–64 and 65–69 years); age at menopause (defined as the age at last menstruation as reported by the interviewee); skin color (white or nonwhite); degree of schooling (up to 7 years, or 8 or more years); marital status (with or without a partner); family income and class (economic class A: average income R$ 8148.00; B: average income R$ 2746.00; C: average income R$ 960.00; D: average income R$ 485.00; or E: average income R$ 277.00, according to the economic classification criteria used in Brazil) [18]; occupation (presence or absence of paid work); parity (0, 1, 2, or 3 or more births); level of physical activity (according to the criteria of the Brazilian Society of Cardiology [19], sedentary: no regular physical activity, or regular physical activity, i.e., a minimum frequency of three times a week for at least 30 minutes of any type of exercise); smoking (daily smoking habit independent of quantity, or no smoking); use of hormone replacement therapy (no hormone therapy in the last 6 months, or continuous hormone therapy for at least 6 months).

In the statistical analysis, the odds ratio (OR) for the association of independent variables with overweight and abdominal obesity was calculated using the program Epi Info 3.5.1. In the next step, the variables with p < 0.20 were selected for multivariate analysis by logistic regression to evaluate the independent variables associated with overweight and abdominal obesity, using the program Statistica 7.1 (StatSoft, Tulsa, OK, USA) and a 95% significance level.

Results

The mean (± standard deviation) age of the 456 women was 58.7 ± 5.7 years, and the mean age at onset of the menopause was 48.0 ± 5.0 years. The socioeconomic, demographic and behavioral are presented in Table 1.

Table 1 Distribution of the behavioral, demographic, and socioeconomic variables, prevalence of excess weight, odds ratios (OR), and confidence intervals (95% CI) in postmenopausal women in Maringa, Parana, Brazil, 2011

The mean BMI of the women was 28.6 ± 5.5 kg/m2, 72.6% were overweight, and 35.5% were obese. The mean WC was 99.8 ± 9.9 cm, and 63.6% had abdominal obesity.

The univariate analysis initially demonstrated a significant association between overweight and years of schooling, occupation, parity, and hormonal therapy. The prevalence of overweight increased in women with less schooling (p < 0.01), with no paid occupation (p = 0.01), and who had three or more children (p < 0.01). In contrast, the use of hormone therapy was associated with a lower prevalence of overweight (p = 0.04) (Table 1).

The prevalence of abdominal obesity was positively associated with age and parity. For women older than 65 years or who had three or more children, the prevalence of abdominal obesity was 74.4% and 68.5%, respectively (p < 0.01) (Table 2).

Table 2 Distribution of the prevalence of abdominal obesity according to the behavioral, demographic, and socioeconomic variables, OR and 95% CI

The logistic regression analysis demonstrated an association of overweight with parity and lack of hormonal therapy. Women with three or more children and non-users of hormonal therapy showed, respectively, 1.78 (95% CI: 1.06–3.00) and 1.69 (95% CI: 1.09–2.63) times higher risk of being overweight (Table 3). The multivariate analysis also found that the prevalence of abdominal obesity had a positive association with women having three or more children (OR: 1.34; 95% CI: 1.05–1.72) and with age older than 65 years (OR: 1.50; 95% CI: 1.032.19) (Table 4).

Table 3 Multivariate analysis for the prevalence of overweight in postmenopausal women according to the variables included in the model
Table 4 Multivariate analysis for the prevalence of abdominal obesity in postmenopausal women, according to the variables included in the model

Discussion

In this study, after adjustment of the variables, greater parity (three or more children) was associated with overweight and abdominal obesity. Age over 65 years was a risk factor for abdominal obesity and no use of hormonal replacement therapy was a risk factor for overweight.

The gestational experience is a stage of a woman’s lifecycle that contributes to a temporary change in body composition, with a gain in weight. In the midst of the nutritional transition, physiological factors inherent to the gestational period increase the individual’s predisposition to excessive weight gain during gestation, making the woman susceptible to the development of obesity [20]. The accumulation of fat, resistance to insulin, and secretion of glucocorticoids observed during pregnancy, as well as the reduction in ovulation cycles in multiparous women, may be factors in the correlation between obesity and parity. In addition, one must consider that maternal-care activities produce changes in physical activity, diet, and social habits [21].

The finding in this study of an association between overweight and parity concords with the results of an investigation carried out in 508 Chilean women, which found a positive relationship between parity and BMI, leading to a body-weight increase of 0.46 kg for each child born [22]. A retrospective analysis of the medical records of 574 postmenopausal Spanish women observed a positive correlation between obesity and the number of children born [11]. Among studies in Brazil, an investigation carried out in São Paulo in postmenopausal women showed that 42.2% of those with three or more children were obese [10].

With respect to the analysis of abdominal obesity and parity, the literature shows that multiparous women have larger values of WC [23]. Lassek and Gaulin [21] determined that WC was 3.26 cm greater in multiparous compared with nulliparous women, and also found that parity was associated with a relative decrease in hip circumference and an increase in WC after adjustment for age and BMI.

In relation to age and abdominal obesity, a longitudinal 9-year study with 949 participants investigated the natural history of the menopausal transition and showed that WC increased with aging and accelerated after the menopause [24]. The increase in WC with age was largely driven by gains in body weight, but increases in WC have also been reported with aging in the absence of weight gain [25].

The finding that non-use of hormonal therapy was associated with overweight and obesity merits attention, because it is a common perception among women that the use of hormonal therapy can cause overweight. The present study found a higher proportion of women with overweight in the group who did not use hormone replacement therapy. These findings are similar to those of other investigations, which concluded that there was no significant evidence that hormonal therapy caused a weight increase in postmenopausal women [9, 10]. A 1-year controlled study to evaluate the effect of tibolone on body composition in postmenopausal women concluded that there was a decrease in fat mass and an increase in muscle mass in individuals treated with the hormone compared with a control group. The changes related to an increase in muscle mass were attributed to the androgenic properties of tibolone [26].

A reduction in ovarian hormones at the menopause leads to diverse functional and endocrinological disturbances, among them an increase in body weight and a decrease in basal metabolism, which leads to greater weight gain [2, 27]. Another factor related to the control of body weight is the effect of activation of estrogen receptors. Estrogen receptor-α, activated by estradiol, has a crucial role in inhibiting the development of adipose tissue; therefore, there is an increase in adipose tissue during the menopause as a result of the deficiency of estrogen, and this can be alleviated by hormone replacement therapy [28]. A longitudinal study that investigated the effect of the change in reproductive hormones during the menopause on incident obesity (BMI ≥30 kg/m2) and severe obesity (BMI ≥35 kg/m2) demonstrated that a decrease in sex hormone-binding globulin over time was strongly associated with both incident obesity and severe obesity [29].

A review that aimed to summarize the literature regarding the impact of the menopause on body weight and body composition concluded that the tendency towards greater central abdominal fat accumulation is ameliorated by estrogen therapy [30]. The North American Menopause Society states that hormonal therapy, regardless of the type (estrogen or estrogen-progestogen), does not cause overweight [2]. If overweight is associated with the menopause, it is important to consider that several different factors may be involved in increasing body weight during this phase of a woman’s life, among them the direct effect of hormonal reduction, changes in mood, depression, sedentary habits, inappropriate eating habits, and heredity [2, 31].

One limitation was the cross-sectional design of the study. A second limitation was the factor of hormonal therapy use, with no distinction between types and routes of administration. We also did not consider changes in mood, depression, and factors related to lifestyle that can have an impact on obesity [32, 33]. Another limitation was that there was no evaluation of nutritional state prior to the menopause, which is among the determinants of the nutritional state in older age [34].

Conclusions

This study indicated that, in an urban population of Brazilian women, overweight and abdominal obesity were associated with greater parity, a lack of hormonal therapy and age over 65 years. To our knowledge, this is one of the few population-based studies with the objective of investigating the factors related to obesity in postmenopausal women. These results may have important implications for women’s health, since overweight and abdominal obesity can lead to the development of chronic diseases, including cardiovascular diseases, and significantly increase the costs of hospitalization. However, factors that operated prior to the onset of menopause should be studied and evaluated, including nutritional state, eating habits, smoking, and depression. Further analyses are needed to evaluate these points, ideally through longitudinal prospective studies.

References

  1. 1.

    Wang YC, Colditz GA, Kuntz KM: Forecasting the obesity epidemic in the aging US. Popul Obes (Silver Spring). 2007, 15: 2855-2865. 10.1038/oby.2007.339.

    Article  Google Scholar 

  2. 2.

    The North American Menopause Society (NAMS): Menopause Guidebook. United States of America 7th. 2012, http://www.menopause.org/publications/consumer-publications/-em-menopause-guidebook-em-7th-edition.

    Google Scholar 

  3. 3.

    Dubnov-Raz G, Pines A, Berry EM: Diet and lifestyle in managing postmenopausal obesity. Climacteric. 2007, 10 (2): 38-41.

    Article  PubMed  Google Scholar 

  4. 4.

    Flegal KM, Carroll MD, Ogden CL, Curtin LR: Prevalence and trends in obesity among US adults, 1999–2008. JAMA. 2010, 303: 235-241. 10.1001/jama.2009.2014.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    BRASIL. Ministerio do Planejamento, Orcamento e Gestao. Instituto Brasileiro de Geografia e Estatistica - IBGE: Pesquisa de Orcamentos Familiares 2008–2009. Antropometria e estado nutricional de criancas, adolescentes e adultos no Brasil. Ministério da saúde. 2010, Rio de Janeiro: Ministerio do planejamento, orcamento e gestao, Available from http://www.ibge.com.br/home/estatistica/populacao/condicaodevida/pof/2008_2009_encaa/default.shtm

    Google Scholar 

  6. 6.

    Pischon T, Boeing H, Hoffmann K, Bergmann M, Schulze MB, Overvad K, Van der Schouw YT, Spencer E, Luas KGM, Tjonneland A, Halkjaer J, Jensen MK, Stegger J, Clavel- Chapelon F, Boutron-Ruault C, Chajes V, Linseisen J, Kaaks R, Trichopoulou A, Trichopoulos D, Bamia C, Sieri S, Palli D, Tumino R, Vineis P, Panico S, Peeters PHM, May AM, Bueno-de-Mesquita HB, van Duijnhoven FJB, et al: General and abdominal adiposity and risk of death in Europe. N Engl J Med. 2008, 359: 2105-2120. 10.1056/NEJMoa0801891.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Douchi T, Kosha S, Uto H, Oki T, Nakae M, Yoshimitsu N, Nagata Y: Precedence of bone loss over changes in body composition and body fat distribution within a few years after menopause. Maturitas. 2003, 46: 133-138. 10.1016/S0378-5122(03)00162-2.

    Article  PubMed  Google Scholar 

  8. 8.

    Sowers M, Zheng H, Tomey K, Karvonen-Gutierrez C, Jannausch M, Li X, Yosef M, Symons J: Changes in body composition in women over six years at midlife: ovarian and chronological aging. J Clin Endocrinol Metab. 2007, 92: 895-901.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    De Lorenzi DRS, Basso E, Fagundes PO, Saciloto B: Prevalencia de sobrepeso e obesidade no climaterio. Rev Bras Ginecol Obstet. 2005, 27 (8): 479-484. 10.1590/S0100-72032005000800008.

    Article  Google Scholar 

  10. 10.

    Franca AP, Aldrighi JM, Marucci MFN: Fatores associados a obesidade global e a obesidade abdominal em mulheres na pos-menopausa. Rev Bras Saúde Matern Infant. 2008, 8 (1): 65-73. 10.1590/S1519-38292008000100008.

    Article  Google Scholar 

  11. 11.

    Cuadros JL, Fernandez-Alonso FM, Cuadros AM, Chedraui P, Perez-Lopes FRP: Body mass index and its correlation to metabolic and hormone parameters in postmenopausal Spanish women. Gynecol Endocrinol. 2011, 27 (9): 678-684. 10.3109/09513590.2010.521269.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Rodriguez MCN, Santana PS, Velasco PP, Gonzalez NS, Ruiz EM, Medina RC, Henriquez MS: Estilo de vida, nivel socioeconomico y morbilidad en mujeres posmenopausicas con obesidad de grados II y III. Endocrinol Nutr. 2009, 56 (5): 227-232. 10.1016/S1575-0922(09)71405-6.

    Article  Google Scholar 

  13. 13.

    Lins APM, Sichieri R: Influencia da menopausa no indice de massa corporal. Arq Bras Endocrinol Metab. 2001, 45 (3): 265-270.

    Article  Google Scholar 

  14. 14.

    Viacava F: Informacao em saude: a importancia dos inqueritos populacionais. Cien Saude Colet. 2002, 4: 607-621.

    Article  Google Scholar 

  15. 15.

    Brasil. Instituto Brasileiro de Geografia e Estatistica: Ministério do planejamento, orçamento e gestão. Contagem da populacao. 2007, Available from http://www.ibge.gov.br/home/estatistica/populacao/contagem2007/ Accessed February 2010

    Google Scholar 

  16. 16.

    World Health Organization: Obesity and overweight. Fact sheet N°311, updated march. 2013, Available from http://www.who.int/mediacentre/factsheets/fs311/en/

    Google Scholar 

  17. 17.

    World Health Organization: Preventing chronic diseases: a vital investment. 2005, Geneva: World Health Organization/Ottawa: Public Health Agency of Canada

    Google Scholar 

  18. 18.

    Brasil: Dados com base no levantamento socio economico – 2005. Instituto brasileiro de opinião pública e estatística. ABEP - associacao Brasileira de empresas de pesquisa – 2008. 2008, Available from http://www.abep.org Accessed January 2010

    Google Scholar 

  19. 19.

    Sociedade Brasileira de Cardiologia: IV diretriz Brasileira sobre dislipidemias e prevencao da aterosclerose departamento de aterosclerose da sociedade Brasileira de cardiologia. Arquivos Brasileitos de Cardiologia. 2007, 88 (I): 1-19.

    Google Scholar 

  20. 20.

    Institute of medicine (IOM): Weight gain during pregnancy: reexamining the guidelines. 2009, Available from http://www.nap.edu/catalog/12584.html Accessed May 2011

    Google Scholar 

  21. 21.

    Lassek WD, Gaulin SJC: Changes in body fat distribution in relation to parity in American women: a covert form of maternal depletion. Am J Phys Anthropol. 2006, 131: 295-302. 10.1002/ajpa.20394.

    Article  PubMed  Google Scholar 

  22. 22.

    Koch E, Bogado M, Araya F, Romero T, Diaz C, Manriquez L, Paredes M, Roman C, Taylor A, Kirschbaum A: Impact of parity on anthropometric measures of obesity controlling by multiple confounders: a crosssectional study in Chilean women. J Epidemiol Commun Health. 2008, 62: 461-470. 10.1136/jech.2007.062240.

    CAS  Article  Google Scholar 

  23. 23.

    Gunderson EP, Murtaugh MA, Lewis CE, Quesenberry CP, Oeste DS, Sidney S: Excess gains in weight and waist circumference associated with childbearing: the coronary artery risk development in young adults study (CARDIA). Int J Obes Relat Metab Disord. 2004, 28: 525-535. 10.1038/sj.ijo.0802551.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Janssen I, Powell LH, Crawford S, Lasley B, Sutton-Tyrrell K: Menopause and the metabolic syndrome: the study of women’s health across the nation (SWAN). Arch Intern Med. 2008, 168 (14): 1568-1575. 10.1001/archinte.168.14.1568.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Stevens J, Katz EG, Huxley RR: Associations between gender, age and waist circumference. Eur J Clin Nutr. 2010, 64 (1): 6-15. 10.1038/ejcn.2009.101.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Boyanov MA, Shinkov AD: Effects of tibolone on body composition in postmenopausal women: a 1-year follow up study. Maturitas. 2005, 51 (4): 363-369. 10.1016/j.maturitas.2004.09.003.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Vasconcellos LS, Leite JM, Sabino KR, Petroianu A: Influencia da ooforectomia na variacao ponderal em ratas jovens e adultas. Arq Bras Endocrinol Metab. 2004, 48 (2): 299-304.

    Article  Google Scholar 

  28. 28.

    Heine PA, Taylor JA, Iwamoto GA, Lubahn DB, Cooke PS: Increased adipose tissue in male and female estrogen receptor-α knockout mice. Proc Natl Acad Sci U S A. 2000, 97 (23): 12729-12734. 10.1073/pnas.97.23.12729.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Sutton-Tyrrell K, Zhao X, Santoro N, Lasley B, Sowers M, Johnston J, Mackey R, Matthews K: Reproductive hormones and obesity: 9 years of observation from the study of women’s health across the nation. Am J Epidemiol. 2010, 171 (11): 1203-1213. 10.1093/aje/kwq049.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Davis SR, Castelo-Branco C, Chedraui P, Lumsden MA, Nappi RE, Shah D, Villaseca P: Understanding weight gain at menopause. Climacteric. 2012, 15: 419-429. 10.3109/13697137.2012.707385.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Henriques HN, Camara NR, Carvalho ACB, Pantaleao JAS, Guzman-Silva MA: Efeito de doses elevadas de tibolona sobre o peso corporal e perfil lipidico de ratas ooforectomizadas. Rev Bras Ginecol Obstet. 2010, 32 (2): 88-93.

    Article  PubMed  Google Scholar 

  32. 32.

    Everson-Rose SA, Lewis TT, Karavolos K, Dugan SA, Wesley D, Powell LH: Depressive symptoms and increased visceral fat in middle-aged women. Psychosom Med. 2009, 71 (4): 410-416. 10.1097/PSY.0b013e3181a20c9c.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Keddie AM: Associations between severe obesity and depression: results from the national health and nutrition examination survey, 2005–2006. Prev Chronic Dis. 2011, 8 (3): A57.

    PubMed  PubMed Central  Google Scholar 

  34. 34.

    World Health Organization: The World Health Report - Reducing Risks, Promoting Healthy Life. 2002, Geneva, Available from http://www.who.int/whr/2002/en/

    Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6874/13/46/prepub

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Angela A F Gravena.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

AAFG, SCRB, TCRL, CMDA participated in the design of the study, performed the statistical analysis, conceived the study, participated in its design and coordination, and helped draft the manuscript. MDBC and SMP participated in study design and coordination and helped draft the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Gravena, A.A.F., Brischiliari, S.C.R., Lopes, T.C.R. et al. Excess weight and abdominal obesity in postmenopausal Brazilian women: a population-based study. BMC Women's Health 13, 46 (2013). https://doi.org/10.1186/1472-6874-13-46

Download citation

Keywords

  • Postmenopause
  • Body mass index
  • Waist circumference
  • Obesity
  • Abdominal obesity