The Associations Between Body Mass Index, Smoking, and Alcohol Intake with Ovarian Volume in Midlife Women.

BACKGROUND: Despite the fact that ovarian volume is a marker of reproductive aging, there is little understanding of factors related to ovarian volume among aging women. The objective of this analysis was to examine the associations between body mass index (BMI), cigarette smoking, and alcohol intake with ovarian volume among midlife women. MATERIALS AND METHODS: Data were analyzed from 771 women (45-54 years of age at baseline) enrolled in the Midlife Women's Health Study, a cohort study that was initiated in 2006. At annual clinic visits, height and weight were measured, a transvaginal ultrasound was performed to measure ovarian volume, blood was drawn to measure hormone concentrations, and a comprehensive questionnaire was administered. Generalized linear models and repeated measures mixed models were conducted to examine the associations between BMI, cigarette smoking, and alcohol intake with ovarian volume, adjusting for age and race. RESULTS: Age was significantly and negatively associated with ovarian volume. However, BMI, smoking, and alcohol use were not associated with ovarian volume either when stratified by menopausal status or when adjusting for age and race. Estradiol, but not progesterone or testosterone, was significantly and positively associated with ovarian volume overall and among both white and black participants (p < 0.05). CONCLUSIONS: This study provides insight into the associations between BMI, smoking, and alcohol use with ovarian volume among midlife women. The findings are somewhat consistent with the published literature and, thus, indicate that these factors may not be clinically important in terms of ovarian volume during the menopausal transition.

Risk factors for hot flashes among women undergoing the menopausal transition: baseline results from the Midlife Women's Health Study.

OBJECTIVE: The aim of this study was to examine the associations of demographic characteristics, health behaviors, and hormone concentrations with the experience of any, current, more severe, and more frequent midlife hot flashes. METHODS: Baseline data from 732 women aged 45 to 54 years who were enrolled in the Midlife Women's Health Study were analyzed. A clinic visit was conducted to collect blood samples for hormone assays and to measure ovarian volume using transvaginal ultrasound. A self-administered questionnaire ascertained information on demographic factors, health habits, and hot flash history. Multivariable logistic regression was conducted to examine associations between potential risk factors and hot flash outcomes. RESULTS: Approximately 45% of participants reported experiencing midlife hot flashes. In covariate-adjusted models, older age, perimenopause status, current and past cigarette smoking, and depressive symptoms were significantly associated with increased odds of all of the hot flash outcomes. In addition, history of oral contraceptive use was associated with increased odds of any hot flashes. In contrast, higher current alcohol intake was significantly associated with decreased odds of any, current, and more severe hot flashes. Higher estradiol and progesterone concentrations were significantly associated with decreased odds of all hot flash outcomes. CONCLUSIONS: Although the temporality of such associations is not known because of the cross-sectional nature of the data, these observed relationships can help to identify women at risk for hot flashes.

Change in body mass index, weight, and hot flashes: a longitudinal analysis from the midlife women's health study.

BACKGROUND: The goals of this study were to examine the associations between body mass index (BMI), as well as BMI change and weight change, with midlife hot flashes. METHODS: Data were analyzed from an ongoing 5-year cohort study of 631 midlife women (ages 45-54 years) recruited from Baltimore, Maryland, and its surrounding counties. Height and weight were measured at clinic visits conducted annually. Questionnaires administered at each clinic visit collected detailed data on hot flashes, including the severity and frequency, and other covariates. Data were analyzed using logistic regression and generalized estimated equation models, adjusting for potential confounders. RESULTS: Among women enrolled in the study, 45.2% reported hot flashes and 32.0% were categorized as being obese (BMI ≥30 kg/m(2)) at baseline. At baseline, BMI was not significantly associated with ever experiencing hot flashes (BMI ≥30 versus <25 kg/m(2): odds ratio [OR] 0.92; 95% confidence interval [CI]: 0.58, 1.15) or any of the other hot flashes outcomes (recent, frequent, or severe). In addition, no statistically significant associations between BMI, BMI change, or weight change, and the hot flash outcomes were observed in the longitudinal models (for example, any hot flashes: BMI ≥30 versus <25 kg/m(2): OR 0.81; 95% CI: 0.56, 1.17). CONCLUSION: BMI, BMI change, and weight change during midlife were not related to hot flashes in this study. The data suggest that other factors, such as smoking habits, are more important in determining hot flashes risk during midlife.