2018
DOI: 10.1007/s10654-018-0367-y
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Body mass index and age at natural menopause: an international pooled analysis of 11 prospective studies

Abstract: Current evidence on the association between body mass index (BMI) and age at menopause remains unclear. We investigated the relationship between BMI and age at menopause using data from 11 prospective studies. A total of 24,196 women who experienced menopause after recruitment was included. Baseline BMI was categorised according to the WHO criteria. Age at menopause, confirmed by natural cessation of menses for ≥ 12 months, was categorised as < 45 years (early menopause), 45-49, 50-51 (reference category), 52-… Show more

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Cited by 102 publications
(80 citation statements)
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“…Smoking leads to early menopause and overweight/obese has been linked to later menopause [31,24]. Our results showed the significant associations between CVD events <35 years and early menopause were mainly observed in ever smokers and women with normal weight.…”
Section: Mechanisms Underlying the Link Between Premenopausal Cvd Evementioning
confidence: 52%
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“…Smoking leads to early menopause and overweight/obese has been linked to later menopause [31,24]. Our results showed the significant associations between CVD events <35 years and early menopause were mainly observed in ever smokers and women with normal weight.…”
Section: Mechanisms Underlying the Link Between Premenopausal Cvd Evementioning
confidence: 52%
“…Fourth, to guarantee the temporal direction from premenopausal CVD events to menopause, we performed an analysis by only including premenopausal CVD events which occurred at least two years before menopause. Fifth, smoking and BMI are two important factors that may influence age at menopause [31,24]. We thus analysed the combined effects of premenopausal CVD events and smoking status, premenopausal CVD events and BMI levels on age at menopause.…”
Section: Discussionmentioning
confidence: 99%
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“…Additional variables were selected based on existing research looking at what influences ANM. Timevarying covariates included the woman's smoking habits (never smoked; ever smoked) [7][8][9][10][11][12][13][14][15][16][17][18][19][20] and body mass index (BMI) [10,11,14,16,17,[19][20][21]48,49]. Race (self-identified as black or African American; Chinese; Japanese; non-Hispanic Caucasian; Hispanic) [12-14,18,50], educational attainment (less than high school education; high school education; some college/technical school; college degree; post-graduate education) [9][10][11][12]14,[18][19][20][21][22]48], parity [7,[9][10][11][12]14,15,[18][19][20][21][22]48,…”
Section: Covariatesmentioning
confidence: 99%
“…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%