Factors influencing the utilization of health facilities for childbirth in a disadvantaged community of Lalitpur, Nepal

Background: In Nepal, half of deliveries take place at home (HMIS 2014), while institutional birth assisted by skilled birth attendants (SBAs) are still infrequent. Objectives: This study explores factors influencing the utilization of health facilities for childbirth in a disadvantaged community of rural Nepal. Method: A qualitative study with two focus groups: mothers-in-law and husbands, and female community health volunteers. 28 semi-structured in-depth interviews were conducted with selected participants 20 mothers and 8 grass-root and policy level stakeholders. Data were analysed by three delays model of conceptual framework. Results: The main reasons for giving birth at home included cultural tradition, lack of awareness about danger signs during pregnancy and childbirth, about importance of skilled birth attendants and lack of knowledge about availability of free 24-hours delivery sites/birthing centers, inability to afford two way transportation costs despite transport incentives provided by government for institutional delivery, fear of episiotomy/surgery/physical abuse and health service provider’s attitude for home delivery. Health facilities were mostly used by women who experienced complications during childbirth Policy Implications: Significant gaps from policy to grass root levels were identified which -suggests that dissemination of information about free delivery must be more effective. The health workers should convincingly inform families about benefits of institutional delivery, especially in marginalized/disadvantaged communities

Body fat, energy balance and estradiol levels: a study based on hormonal profiles from complete menstrual cycles

BACKGROUND: Female fecundity is regulated by nutritional status. Although widely cited, this hypothesis is not strongly supported by empirical data from non-obese, healthy women of reproductive age. METHODS: Healthy, reproductive aged women (n = 141) from Southern Poland collected daily morning saliva samples for one complete menstrual cycle. Levels of 17-b-estradiol were analyzed by radioimmunoassay. Anthropometric measurements, including body fat percentage, were taken randomly with respect to phase of the menstrual cycle. Energy balance was specified based on changes in body fat percentage from the beginning to the end of the observation period. RESULTS: Women with very low and high body fat had significantly lower levels of E2 compared with women with low and average body fat. In women of very low to average body fat, a 10% increase in body fat was associated with a 5 – 7 pmol/l increase in estradiol levels. The association between fat percentage and E2 was even stronger in women with positive energy balance, who also showed significant differences between body fat groups in estradiol profiles across whole the menstrual cycle. No such relationship was found in women with negative energy balance. CONCLUSIONS: In healthy women, we found a non-linear association between body fat and estradiol levels. Both very low and high body fat was associated with decreased estradiol levels. The relationship between estradiol and body fat was strongly influenced by women’s energy balance.AnthropologyHuman Evolutionary Biolog

Low estradiol levels in women of reproductive age having low sleep variation

Higher exposure to light at night per se and through decrease in sleep duration and night shift work may suppress serum melatonin levels, which in turn may increase the reproductive hormone levels. High levels of steroid hormones, especially estrogens, may be associated with an increase of the breast cancer risk. This study investigated whether variation in the sleep duration during one entire menstrual cycle corresponds to variation in estradiol levels in healthy, urban women of reproductive age. Ninthy five regularly menstruating women ages 24-36 collected daily saliva samples for one entire menstrual cycle and recorded the number of hours of sleep per night (sleep duration). Saliva samples were analyzed for concentration of 17-ß estradiol (E2). We documented, after adjustments for sleep duration, a positive relationship between the sleep variation (coefficient of variation in sleep duration - sleep CV) and estradiol levels in women of reproductive age. Mean levels of E2 differed significantly in women from the lowest sleep CV quartile in comparison to other quartiles (p<0.001). The low sleep variation group, that is the women who sleep regularly, had mean E2 levels 60% lower than other groups. These results suggest that sleep variation significantly correlates with E2 levels, while sleep duration does not show a statistically significant relationship. According to the breast cancer development hypothesis, increasing the lifetime exposure to endogenous estrogens could result in higher risk of breast cancer.AnthropologyHuman Evolutionary Biolog

Analyses Do Not Support CYP17 Genotype-Estradiol Associations--In Response

In Response: Vitzthum and Thornburg’s comments seem to reflect a basic misunderstanding of our paper and its results. As noted in the title of the article, we document an association between CYP17 genotypes and salivary estradiol levels. Variation in follicular steroidogenesis, up to and including ovulatory failure, is precisely the variation we are studying. To remove anovulatory cycles from the sample would be to remove a principal source of variance in estradiol levels between women, a source of variation with direct implications for breast cancer risk. Vitzthum and Thornburg are also incorrect in their assertion that our statistical methods are flawed. In the repeated-measures ANOVA, the univariate F statistic may be safely used when accompanied by appropriate adjustments (Geisser-Greenhouse and Huynh-Feldt) to the degrees of freedom (even if the sphericity requirement is not met). In the article, we provided P values obtained under both types of adjustment. Our use of the Wilcoxon signed-rank test adhered strictly to the assumptions specified in the principal textbook of biostatistical methods by Sokal and Rohlf (2).AnthropologyHuman Evolutionary Biolog

Physical Activity, Heart Rate, Metabolic Profile, and Estradiol in Premenopausal Women

Purpose: To study whether physical inactive women with a tendency to develop metabolic syndrome have high levels of 17[beta]-estradiol (E2) of importance for breast cancer risk. Methods: Two hundred and four healthy women of reproductive age were assessed for self-reported leisure-time physical activity (LPA), resting heart rate (HR), blood pressure (BP), anthropometry, and serum glucose, lipids, and insulin [Norwegian Energy Balance and Breast Cancer Aspect (EBBA) study]. E2 was measured in daily saliva samples throughout an entire menstrual cycle. A clustered metabolic risk score [z metabolic syndrome (zMS); total cholesterol-high-density lipoprotein-cholesterol (HDL-C) ratio, insulin resistance, total fat tissue, BP, and triglycerides] was defined. Linear regression and linear mixed models were used, and confounding factors were tested. Results: Physically active women had lower fat percentage (Ptrend = 0.003) and HRs (Ptrend = 0.003) than sedentary women. We estimated an increase in E2 of 1.27 pmol[middle dot]L-1 [95% confidence interval (CI), 0.06-2.47] for each 11.7 beats[middle dot]min-1 (1 SD) increase in HR, and this corresponds to the 7% change in mean concentration of E2 for the total group. Associations with E2 were also found for fat tissue, total cholesterol-HDL-C ratio, insulin resistance, and triglycerides. A dose-response relationship was observed among the three levels of LPA and HR and zMS (Ptrend = 0.03 for LPA; Ptrend = 0.004 for HR). Women in the highest tertile of the clustered metabolic risk score had average salivary E2profiles that were markedly higher, throughout the cycle, than those of the other groups, with a cycle peak-day difference in E2 of 22-28%. Conclusion: LPA and HR were associated with metabolic risk score, and this score was associated with daily level of E2, pointing to important biologic mechanisms operating between a sedentary lifestyle and an increased breast cancer risk.AnthropologyHuman Evolutionary Biolog

Adult Height, Insulin Levels and 17β-Estradiol in Young Women

Background: Adult height and insulin levels have independently been associated with breast cancer risk. However, little is known about whether these factors influence estradiol levels. Thus, we hypothesize that adult height in combination with insulin levels may influence premenopausal 17β-estradiol throughout the entire menstrual cycle of possible importance of breast cancer risk. Methods: Among 204 healthy women, aged 25-35 years who participated in the Norwegian EBBA I study, birth weight and age at menarche were assessed by questionnaire, personal health record and interview. 17β-estradiol concentrations were estimated by daily saliva samples throughout one entire menstrual cycle using radioimmunoassay (RIA). Measures of height (cm) were taken as well as waist circumference (cm), body mass index (BMI kg/m2) and total fat percentage (DEXA % fat). Fasting blood samples were drawn, and serum concentrations of insulin were determined. Results: The women reported a mean height of 166.5 cm, birth weight of 3389 g and age at menarche 13.1 years. Mean BMI was 24.4 kg/m2, mean waist circumference 79.5 cm and mean total fat percentage 34.1%. Women with an adult height of more than 170 cm and insulin levels higher than 90 pmol/L experienced on average an 37.2 % increase in 17β- estradiol during an entire menstrual cycle compared to those with the same height, and insulin levels below 90 pmol/L. Moreover, this was also observed throughout the entire menstrual cycle. Conclusion: Our findings support that premenopausal levels of 17β-estradiol vary in response to adult height and insulin levels, suggesting that women who become taller are put at risk for higher estradiol levels when their insulin levels rise of possible importance for breast cancer risk.Anthropolog

Digit ratio (2D:4D) and circulating testosterone, oestradiol, and progesterone levels across the menstrual cycle.

BACKGROUND: Digit ratio (2D:4D) is used by researchers as an indicator of prenatal sex hormone exposure. Two previous studies have examined associations between 2D:4D and circulating sex steroid concentrations across the menstrual cycle in adult females. One reported that digit ratio correlated positively with oestradiol levels, whereas the other found no such effect; neither observed significant associations with progesterone. AIMS: To examine associations between 2D:4D, as well as asymmetry (i.e. right minus left 2D:4D), and circulating sex steroids across the menstrual cycle. STUDY DESIGN: Correlational. SUBJECTS: 32 naturally cycling adult females from rural southern Poland. OUTCOME MEASURES: Salivary oestradiol, progesterone, testosterone, and testosterone to oestradiol ratio (T:O) measured during the follicular, peri-ovulatory, and luteal phases. Average levels across the cycle were also examined. RESULTS AND CONCLUSIONS: Asymmetry in digit ratio correlated positively with oestradiol at each phase, as well as with average levels across the cycle. Each association, other than that relating to average levels, remained statistically significant after a range of covariates had been controlled for. No other significant correlations were observed between digit ratio variables and circulating hormone levels. Our results might suggest that low exposure to androgens and/or high exposure to oestrogens during gestation is a predictor of high oestradiol levels in naturally cycling females of reproductive age. However, considering that it was asymmetry in digit ratio, and not either right or left 2D:4D, that was a significant predictor, it is also possible that these effects reflect more general associations between bilateral asymmetry and circulating oestradiol levels