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.

Somatic symptoms among cosmetologists compared to women in other occupations.

BACKGROUND: Although the literature pertaining to the cosmetology occupation and specific health effects, such as asthma, dermatitis, and reproductive function, has grown substantially, little information is available about whether cosmetologists are at increased risk of other symptoms compared to women working in other occupations. Thus, the purpose of this study was to determine if cosmetologists of reproductive age are at increased risk of self-reported symptoms compared to women of the same age working in other occupations. METHODS: Data were analyzed from 450 cosmetologists and 511 women in other occupations, aged 21-55 years, in the Baltimore metropolitan region who responded to a mailed survey that ascertained detailed data on symptoms as well as usual work tasks. RESULTS: The data showed that cosmetologists were at increased risk of memory and sleep disturbances, muscle weakness, throat irritation, and hot flashes compared to women of the same age working in other occupations after adjustment for confounders, including cigarette smoking. Among the cosmetologists, handling cleaning supplies; hair bleaching; use of straighteners, texturizers, or permanent chemicals; and several nail care work tasks were associated with one or more of the queried symptoms. CONCLUSIONS: Findings from this study suggest that, compared to noncosmetologists, cosmetologists are at increased risk for a number of symptoms reported to be associated with decreased quality of life. These symptoms may also reflect chronic exposure to chemicals that have been shown to be related to more severe long-term health outcomes.

Adverse health outcomes among cosmetologists and noncosmetologists in the Reproductive Outcomes of Salon Employees (ROSE) study.

The purpose of this study was to examine adverse health outcomes, including those related to cardiovascular and skin health as well as respiratory functions, among cosmetologists aged 21 to 55 yr and to compare data to women of the same age working in other occupations. Self-reported data were analyzed from 450 cosmetologists and 511 women in other occupations who participated in the Reproductive Outcomes of Salon Employees (ROSE) study in Maryland. Odds ratios (OR) and 95% confidence intervals (95% CI) were computed using logistic regression to examine the associations between cosmetologist occupation and each adverse health outcome adjusted for age, education, and smoking status. Cosmetologists were at significantly increased risk of depression compared to noncosmetologists after adjustment for age, education, and smoking status (OR 1.49; 95% CI 1.10, 2.00). There were no statistically significant associations between cosmetology occupation and the other adverse health outcomes, including those related to allergies and skin disorders, in both the unadjusted and adjusted analyses. Cosmetologists may be exposed to chemicals in the salon that lead to depression. Future study needs to be conducted to examine specific chemical exposures in the salon. This will help to provide information required for the development of best occupational safety practices among salon workers.

Health outcomes of children born to cosmetologists compared to children of women in other occupations.

The purpose of the study was to examine the health of children born to cosmetologists compared to the health of children of women working in other occupations. Cross-sectional data were analyzed from 319 cosmetologists and 366 women in other occupations aged 21 to 55 years who reported at least one live birth. Repeated-measures modeling was used to account for lack of independence among multiple pregnancies per participant. The results showed that cosmetologist occupation was associated with having a child with a learning disorder; however, the strength of this association was attenuated and the odds ratio was not statistically significant after confounder adjustment. Cosmetologist occupation was not associated with other adverse health outcomes among the children born to women in such an occupation, including urinary/kidney health problems. The findings indicate that cosmetologists are not at increased risk of having a child with medical problems compared to women in other occupations.

Menstrual cycle abnormalities among cosmetologists: the Reproductive Outcomes in Salon Employees (ROSE) study.

This study was conducted to examine whether cosmetologists of reproductive age are at increased risk of menstrual cycle abnormalities compared to women of the same age working in other occupations. Participants in the study (450 cosmetologists and 511 noncosmetologists) were recruited through mass mailing of questionnaires. To be included in the study, respondents to the survey had to be between 21 and 55 years of age and not have had a hysterectomy/oophorectomy. The main outcome measures included irregular menstrual cycle length and pain during menstrual period. The results showed no statistically significant associations between being a cosmetologist and having menstrual cycle abnormalities. The observed estimates did not differ when including and excluding women who had ever used oral contraceptives. Thus, the findings of the study suggest that cosmetologists are not at increased risk of menstrual cycle abnormalities. Further studies using detailed salon exposure and work task data in relation to menstrual cycle outcomes should be conducted.

Infertility among cosmetologists.

Although chemicals used in hair salons have been linked to infertility in animal models, little is known about whether exposures in hair salons are associated with infertility in women. Thus, a survey-based study was performed to investigate infertility in 448 cosmetologists and 508 non-cosmetologists working in Baltimore, Maryland and its surrounding counties. Infertility was assessed with questions addressing time-to-pregnancy (TTP) length (>or=12 months), consulting a medical professional about fertility problems, and taking medication to become or maintain a pregnancy. Occupational exposure was assessed by job tasks and customers served per week. There were no statistically significant associations between working as a cosmetologist and the odds of TTP>or=12 months, consulting a medical professional about infertility, or taking medication to either become or maintain a pregnancy. The data suggest that cosmetologists are not at increased risk for infertility compared to women of the same age working in other occupations.

Cosmetologists and reproductive outcomes.

OBJECTIVE: To test the hypothesis that cosmetologists are at increased risk of poor pregnancy outcomes compared with women of the same age who are not cosmetologists. METHODS: Participants were recruited through mass mailing of questionnaires. To be included in the study, respondents to the survey had to be aged between 21 and 55 years and not have had a hysterectomy or oophorectomy. This analysis focused on 350 cosmetologists and 397 women in other occupations who met these inclusion criteria and who reported five or fewer singleton pregnancies. The main outcome measures were miscarriage, stillbirth, the occurrence of maternal health conditions during pregnancy (preeclampsia, high blood pressure, diabetes), hospitalization or physician-ordered bed rest during pregnancy, preterm labor, and premature delivery (before 37 weeks at delivery). RESULTS: There were no statistically significant associations between occupation and the pregnancy outcomes after adjustment for age, race, education, and smoking and alcohol use at the time of pregnancy. A statistically significant association was found between race and low birth weight such that nonwhite women were at increased risk of reporting a low birth weight neonate compared with white women (odds ratio [OR] 3.35, 95% confidence interval [CI] 1.53-7.26). Similarly, current smoking was found to be positively associated with miscarriage (OR 1.53, CI 1.09-2.16) and miscarriage or stillbirth (OR 1.64, 95% CI 1.18-2.28). CONCLUSION: Risk of adverse pregnancy outcomes among cosmetologists is not increased compared with women of the same age working in other occupations.