Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India

Dasgupta, Shruti; Salman, Mohammed; Lokesh, S.; Xaviour, D.; Saheb, S Yaseen; Prasad, BV Ravi; Sarkar, Biswanath

doi:10.4103/0976-7800.98814

Cited by 32 publications

(44 citation statements)

References 32 publications

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“…However, these significant differences disappeared after adjusting for age, suggesting that aging rather than menopause may add risk for metabolic abnormalities in obese women with BED. While controversial, an independent effect of menopause on metabolic abnormalities above and beyond the effect of aging has been demonstrated (Dasgupta, et al, 2012; Ford, et al, 2002; Janssen, et al, 2008; Kim, et al, 2007; Sowers, et al, 2007). Significantly earlier age of binge-eating onset might have contributed to earlier emergence of metabolic abnormalities in premenopausal women.…”

Section: Discussionmentioning

confidence: 99%

Menopause and metabolic syndrome in obese individuals with binge eating disorder

et al. 2014

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Menopausal transition has been associated with emergence of metabolic abnormalities, which may increase risk for chronic medical conditions in women. This study compared metabolic function between premenopausal women (n = 152), postmenopausal women (n = 88), and men (n = 98) recruited for treatment studies for obesity co-occurring with binge eating disorder (BED), a high risk population for developing metabolic syndrome (MetS). Postmenopausal women were more likely than premenopausal women to show elevated total cholesterol (OR = 2.75; 95% CI = 1.56–4.80) and poor glycemic control (OR = 2.92; 95% CI = 1.32–6.33), but were more likely to have lower HDL levels (OR = 0.36; 95% CI = 0.19–0.68). These became non-significant after adjusting for age. Both pre- and postmenopausal women were less likely than age-matched men to show elevated levels of triglycerides (OR = 0.27; 95% CI = 0.13–0.53 [postmenopausal], OR = 0.29; 95% CI = 0.16–0.53 [premenopausal]), blood pressure (OR = 0.48; 95% CI = 0.25–0.91 [postmenopausal], OR = 0.40; 95% CI = 0.23–0.69 [premenopausal]), and less likely to have MetS (OR = 0.41; 95% CI = 0.21–0.78 [postmenopausal], OR = 0.46; 95% CI = 0.27–0.79 [premenopausal]). Premenopausal women were also less likely to have elevated fasting glucose level (OR = 0.50; 95% CI = 0.26–0.97) than age-matched men. Among obese women with BED, aging may have a more profound impact on metabolic abnormalities than menopause, suggesting the importance of early intervention of obesity and symptoms of BED. Active monitoring of metabolic function in obese men with BED may also be critical.

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Section: Discussionmentioning

confidence: 99%

Menopause and metabolic syndrome in obese individuals with binge eating disorder

et al. 2014

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“…68 In contrast, the association between CRP and BMR is not yet clear, as the limited studies report conflicting findings. [69][70][71] Finally, there is no apparent direct association between TNF-α and BMR. 23…”

Section: Biomarkersmentioning

confidence: 99%

Regulation of basal metabolic rate in uncomplicated pregnancy and in gestational diabetes mellitus

Taousani

Savvaki

Tsirou

et al. 2017

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Basal metabolic rate (BMR) is one of the major components of total energy expenditure (TEE). It is affected by various factors, such as body weight, body composition, age, race/ethnicity, gender, biochemical parameters, physical activity, and health status. Gestational diabetes mellitus (GDM) is the most common metabolic disorder during pregnancy and it increases the risk for health complications, such as stillbirth, diabetes mellitus, and cardiovascular disease in later life. Both BMR and GDM have been linked with gestational weight gain (GWG), a fact suggesting a possible association between them. However, assessing BMR is a complex procedure, which becomes more complicated when additional parameters, such as pregnancy and GDM, are taken into consideration. The present review summarizes the current knowledge on factors affecting BMR and its regulation in relation to pregnancy and GDM. Future research addressing these associations should thoroughly consider other factors that affect BMI when designing such studies and/or discussing the BMR outcome results.

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“…A associação entre esse risco e as alterações hormonais do climatério sugere que o estradiol possua função protetora no que se refere ao desenvolvimento de doença coronariana [3,4].…”

Section: Introductionunclassified

“…Nesse período transicional, a mulher possui tendência ao aumento da massa corpórea e modificação da distribuição de gordura corporal, com acúmulo na região do tronco e abdômen, constituindo o padrão androide. Além do aumento de peso, outras condições influenciam o desenvolvimento de doenças cardiovasculares em mulheres no climatério, como hipertensão arterial sistêmica, tabagismo, diabetes mellitus, sedentarismo, alimentação inadequada e o histórico familiar [3][4][5][6].…”

Section: Introductionunclassified

Risco cardiovascular avaliado pelo índice de conicidade em mulheres no climatério: análise comparativa entre os períodos pré e pós-menopausa

Dallazen

Winkelmann

Berlezi

2017

Sci Med

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Este artigo está licenciado sob forma de uma licença Creative Commons Atribuição 4.0 Internacional, que permite uso irrestrito, distribuição e reprodução em qualquer meio, desde que a publicação original seja corretamente citada. ABSTRACTAIMS: To evaluate cardiovascular risk by the conicity index in climacteric women, comparing the premenopausal and postmenopausal periods. METHODS: This cross-sectional study with secondary data, derived from the Female Aging Cohort Research's database, evaluated women between 35 and 65 years of age registered with the Family Health Strategy Units of the municipality of Ijuí, Rio Grande do Sul, Brazil. The study included women who had assessment of general health conditions, as well as nutritional, clinical, and biochemical status, and excluded those diagnosed with cardiovascular disease and diabetes mellitus type I. The cardiovascular risk was determined by the conicity index obtained from measurements of body weight, height, and waist circumference. The women were divided in two groups: pre-menopausal and post-menopausal. RESULTS: The sample consisted of 102 women whose mean age was 51.5±7.9 years. Of these, 41 (40.2%) were premenopausal and 61 (59.8%) were postmenopausal. All participants had a high cardiovascular risk by the conicity index, but the mean index was higher in those in the postmenopausal period when compared to those in the premenopausal period (1.25±0.0 vs. 1.19±0.9 CONCLUSIONS: The use of conicity index by primary care teams indicated that in this sample of women, regardless of climacteric phase, there where subclinical conditions for the development of cardiovascular disease. Those conditions were more pronounced in the group of women in the postmenopausal period.

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Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India

Cited by 32 publications

References 32 publications

Menopause and metabolic syndrome in obese individuals with binge eating disorder

Menopause and metabolic syndrome in obese individuals with binge eating disorder

Regulation of basal metabolic rate in uncomplicated pregnancy and in gestational diabetes mellitus

Risco cardiovascular avaliado pelo índice de conicidade em mulheres no climatério: análise comparativa entre os períodos pré e pós-menopausa

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