Monday, Jan 12
Filiz Garip, Changing Dynamics of Mexico-U.S. Migration
Harlow, Sioban D., G. Greendale, S. Crawford, and B. Sommer. 2000. "Self-Defined Menopausal Status in a Multi-Ethnic Sample of Midlife Women." Maturitas, 36(2): 93-112.
Objectives: This study aimed to identify factors associated with women's perceived menopausal status and to evaluate agreement between women's self-designation and a menstrually-based classification in a multi-ethnic sample of women. Methods: A cross-sectional survey was conducted as part of a large, seven-site, multi-ethnic study, the Study of Women's Health Across the Nation (SWAN). All variables were assessed by self-report in 13952 women aged 40–55 years. Multiple linear regression was used to assess determinants of self-defined menopausal status, stratifying by race/ethnicity within three anatomical/hormone use strata. Kappa statistics were used to evaluate agreement between the self-defined and menstrually-based classifications. Results: For women with an intact uterus, at least one ovary and not using hormones, menstrual patterns explained about half the variance in self-defined menopause status with older women classifying themselves later in the transition. Disagreement between menstrually-based and self-defined menopausal status was 39, 38, 36, 32 and 29% for Hispanic, African–American, Japanese, Caucasian, and Chinese women, respectively (kappa statistics=0.46, 0.41, 0.40, 0.53 and 0.58). Women with vasomotor symptoms tended to self-designate themselves as being in transition regardless of their menstrual patterns. Age and 12 months of amenorrhea explained about 40% of the variance in self-categorization among women using hormones with an intact uterus. Bilateral oophorectomy, age and time since surgery explained about 20% of the variance among post-surgical women. Conclusions: Menstrual characteristics are strong predictors of women's self-perceived menopausal status. However, additional factors, including symptoms and cultural differences in the meaning of specific bleeding patterns, are also relevant and require further investigation.