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Objectives This article highlights the prevalence of symptom frequencies in Nagaland, India, with a focus on depressed mood and hot flashes. We also examine how symptoms cluster together among Naga women and identify factors associated with symptom experience. We hypothesized an elevated frequency of depressed mood because of the stresses associated with social responsibilities within a patriarchal culture, and a low frequency of hot flashes because of the thinness of the population. Methods Standardized questionnaires with close-ended questions were used to determine the frequency of symptoms and sociodemographic and health parameters among women aged 35 to 65 years (n = 352). Factor analysis was used to examine the relations among symptoms. Bivariate analyses and linear regressions were also employed to identify sociodemographic and health factors associated with symptoms. Results Menopausal symptoms, such as feeling dizzy or faint, anxiety or panic, and excitable, were significantly higher in premenopausal women; hot flashes in perimenopausal women; and feeling tired or lack in energy, headaches, difficulty in sleeping, and muscle or joint pain in postmenopausal women. Four symptom factors were identified: symptoms related to the loss of estradiol, psychosomatic symptoms, uneasiness, and depressed mood. After adjusting for menopausal status, socioeconomic status, education, and self-reported health status, body mass index was observed to be inversely associated with the depressed mood factor but not other factors. Conclusion In the context of Nagaland, India, having extra weight may contribute to emotional well-being; however, further research is warranted.

Introduction Certified nurse-midwives (CNMs) and certified midwives (CMs) attend 11% of US vaginal births, and CNM/CM databases include a rich source of information on the birth outcomes of women not generally available through obstetric electronic health records (oEHRs). Although CNM databases are in wide use, studies on their validity are sparse. We examined the validity of a practice-specific CNM birth database compared with an oEHR in a large tertiary-care facility. Methods The study population consisted of all 3133 births in a large CNM practice that were entered into a practice-specific electronic birth database from 2001 to 2008. We assessed agreement with the oEHR overall and according to individual maternal demographic characteristics; obstetric, medical, and social risk factors; labor and birth information; and newborn characteristics. We also evaluated whether there were differences in agreement according to early versus later study periods and by years of CNM clinical experience. Results Overall agreement between the CNM birth database and the oEHR was 92.4%. Agreement between the CNM birth database and the oEHR was greater than 90% for maternal age, race/ethnicity, route and type of birth, major genital tract trauma, newborn weight, and primary clinician attending the birth. Lower agreement rates for smoking, total weight gain in pregnancy, beginning of pregnancy body mass index, and anesthesia for birth were due, in part, to missing information in the oEHR. Agreement did not vary significantly by early versus late study periods or by years of CNM clinical experience. Discussion Findings indicate that a CNM/CM birth database is a valid data source for quality monitoring and outcomes research and may contain more complete information for some variables than the oEHR.

How to cite this article Zagarins S.E., Ronnenberg A.G., Gehlbach S.H., Lin R. & Bertone-Johnson E.R. (2012) Are existing measures of overall diet quality associated with peak bone mass in young premenopausal women? J Hum Nutr Diet.25, 172–179 Abstract Background: Low peak bone mass in young adulthood is associated with an increased risk of osteoporosis and fracture after menopause, and an understanding of the modifiable factors that contribute to low peak bone mass is important for fracture prevention. Diet is an important modifiable factor linked to bone health and, although studies have examined the role of individual dietary components in bone health, bone growth and maintenance are complex processes, and such studies may not adequately represent the role of diet in these processes. Methods: To address this issue, a cross-sectional analysis of 226 healthy, premenopausal women aged 18–30 years was conducted to determine whether existing indices of overall diet quality are associated with bone density in premenopausal women nearing peak bone mass. Bone density was measured using dual-energy X-ray absorptiometry and diet quality was measured using two overall diet scores based on current dietary guidelines: the Recommended Food Score and the Alternate Healthy Eating Index (AHEI). Results: In the multiple linear regression, bone density did not increase across quartiles of either diet quality score and was not associated with continuous diet quality variables. Furthermore, none of the individual AHEI components (e.g. fruit intake, vegetable intake) were associated with bone density. Conclusions: These findings suggest that existing diet quality scores are not appropriate for studies of peak bone mass, most likely because they do not give sufficient weight to foods and nutrients important to bone health. We recommend the development of a diet pattern index that better predicts bone mass measures.

Background Anti‐Mϋllerian hormone (AMH) plays an important role regulating ovarian sensitivity to follicle‐stimulating hormone and luteinizing hormone in folliculogenesis. Anti‐Mϋllerian hormone is well established as a biomarker of ovarian reserve but may also have utility in predicting pregnancy outcomes. Few studies have described AMH levels in pregnancy and, among those that have, most have used cross‐sectional study designs and are limited to participants seeking fertility treatment. Our aim was to analyze AMH longitudinally in low‐risk pregnancies. Methods We conducted a prospective cohort study at Baystate Medical Center, a large tertiary care hospital in Springfield, MA, USA. We recruited women (n = 30) with low risk, singleton pregnancies, aged 18 to 35 years, with BMI between 18 and 40 kg/m2, and without preexisting disease. Anti‐Mϋllerian hormone (pmol/L) was measured in plasma samples collected at 5 prenatal care visits throughout gestation. Results Anti‐Mϋllerian hormone levels varied significantly over gestation (Friedman's analysis of variance, P value

Depression is the leading cause of disease burden in U.S. women of reproductive age. Inflammation is associated with depression, yet the mechanism for this association remains unclear. Additionally...