2016
DOI: 10.18203/2320-6012.ijrms20161787
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Correlation of body mass index and age of menopause in women attending medicine and gynaecology department of a tertiary care centre

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Cited by 4 publications
(4 citation statements)
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“… 16 , 33–35 In contrast to our results, several recent studies reported that smoking was correlated with the premature and/or early age of menopause. 18 , 20 , 23 Our findings highlighted that there is a significant positive association between BMI and age at menopause, which is in line with previous studies conducted in India 41 and China 18 but contradicts studies from Poland 33 and Iran. 34 Additionally, a meta-analysis of nine articles with a total of 313,482 participants reported that as the BMI of the women increased, the age at menopause also increased.…”
Section: Discussionsupporting
confidence: 74%
“… 16 , 33–35 In contrast to our results, several recent studies reported that smoking was correlated with the premature and/or early age of menopause. 18 , 20 , 23 Our findings highlighted that there is a significant positive association between BMI and age at menopause, which is in line with previous studies conducted in India 41 and China 18 but contradicts studies from Poland 33 and Iran. 34 Additionally, a meta-analysis of nine articles with a total of 313,482 participants reported that as the BMI of the women increased, the age at menopause also increased.…”
Section: Discussionsupporting
confidence: 74%
“…The study of Boulos et al also found a significant positive association between being a female and nutritional status [27]. According to Maru et al the changes in the hormones caused by menopausal stage might contribute to an elder's weight gain around the abdomen compared to the thigh or hips, thus increasing the body mass index, which leads to being overweight or even obese [28].…”
Section: Discussionmentioning
confidence: 98%
“…Covariates were held constant in each analyses and selected based on existing literature on the demographic correlates of menopause symptoms and timing, and also based on the data we had available. These included parity (Li et al, ; Mishra et al, ; Parazzini, ; Wang et al, ), whether the woman was financially secure over the past year (as a measure of socioeconomic position/financial stress; Lawlor, Ebrahim, & Smith, ; Schoenaker, Jackson, Rowlands, & Mishra, ), body mass index (BMI; Ahuja, ; Li et al, ; Maru, Verma, Verma, & Shrimal, ; Parazzini, ; Sapre & Thakur, ; Tao et al, ; Wang et al, ; Zhu et al, ), and smoking habits (Ayatollahi, Ghaem, & Ayatollahi, ; Bjelland, Hofvind, Byberg, & Eskild, ; Gold et al, , ; McKnight et al, ; Nagel, Altenburg, Nieters, Boffetta, & Linseisen, ; Özdemir & Çöl, ; Parazzini, ; Sapre & Thakur, ; Tao et al, ; Wang et al, ). In addition, age was included in the model when looking at symptom duration and symptom severity, and menopause status when looking at symptom severity, to control for the possibility that retrospective accounts of menopause may differ to current reporting.…”
Section: Methodsmentioning
confidence: 99%