Vitamin D deficiency (VDD) is common in women with and without polycystic ovary syndrome (PCOS) and may be associated with metabolic and endocrine disorders in PCOS. The aim of this meta-analysis is to assess the associations of serum vitamin D levels with metabolic and endocrine dysregulations in women with PCOS, and to determine effects of vitamin D supplementation on metabolic and hormonal functions in PCOS patients. The literature search was undertaken through five databases until 16 January 2015 for both observational and experimental studies concerning relationships between vitamin D and PCOS. A total of 366 citations were identified, of which 30 were selected (n = 3182). We found that lower serum vitamin D levels were related to metabolic and hormonal disorders in women with PCOS. Specifically, PCOS patients with VDD were more likely to have dysglycemia (e.g., increased levels of fasting glucose and homeostatic model assessment-insulin resistance index (HOMA-IR)) compared to those without VDD. This meta-analysis found no evidence that vitamin D supplementation reduced or mitigated metabolic and hormonal dysregulations in PCOS. VDD may be a comorbid manifestation of PCOS or a minor pathway in PCOS associated metabolic and hormonal dysregulation. Future prospective observational studies and randomized controlled trials with repeated VDD assessment and better characterization of PCOS disease severity at enrollment are needed to clarify whether VDD is a co-determinant of hormonal and metabolic dysregulations in PCOS, represents a consequence of hormonal and metabolic dysregulations in PCOS or both.

Our meta-analysis demonstrates that circadian disruption is associated with an increased BrCA risk in women. This association varied by specific sources of circadian disrupting exposures, and a dose-response relationship remains uncertain. Therefore, future rigorous prospective studies are needed to confirm these relationships.

Experiencing stressful life events (SLEs) has negative consequences for both mother and infant. This study examined the predictive contributions of (1) experiences of each SLE separately and its association with postpartum depressive symptoms (PDS), (2) experiences of cumulative number of SLEs and PDS, and (3) the cumulative experiences of SLEs across three domains (relational, financial, physical health). Georgia's Pregnancy Risk Assessment Monitoring System data were obtained from 2004 to 2011. Chi-square tests and a combination of weighted logistic regression models were conducted to predict self-reported PDS. Odds ratios (OR) and 95 % confidence intervals (CI) were reported. A total of 10,231 women were included in the analysis; 15 % of the mothers reported PDS. Arguments with partner, trouble paying bills, and separation/divorce significantly predicted increased odds of PDS. Increased odds of PDS were observed with increasing numbers of cumulative SLEs. Experiencing high stress in any domain significantly predicted PDS with the highest predictor being high stress across all domains, followed by experiencing a combination of high relational and financial stress. SLEs were associated with reporting PDS among new mothers in Georgia. It is important to assess for SLEs during prenatal care and provide resources aimed at reducing the impact of SLEs.

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Youth fitness in Georgia was related to socioeconomic, demographic, and geographic themes. The SVI may be a useful needs assessment tool for health officials and researchers examining multilevel influences on health behaviors or identifying communities for prevention efforts.

ObjectiveImproving and validating sleep scoring algorithms for actigraphs enhances their usefulness in clinical and research applications. The MTI® device (ActiGraph, Pensacola, FL) had not been previously validated for sleep. The aims were to (1) compare the accuracy of sleep metrics obtained via wrist- and hip-mounted MTI® actigraphs with polysomnographic (PSG) recordings in a sample that included both normal sleepers and individuals with presumed sleep disorders; and (2) develop a novel sleep scoring algorithm using spline regression to improve the correspondence between the actigraphs and PSG.MethodsOriginal actigraphy data were amplified and their pattern was estimated using a penalized spline. The magnitude of amplification and the spline were estimated by minimizing the difference in sleep efficiency between wrist- (hip-) actigraphs and PSG recordings. Sleep measures using both the original and spline-modified actigraphy data were compared to PSG using the following: mean sleep summary measures; Spearman rank-order correlations of summary measures; percent of minute-by-minute agreement; sensitivity and specificity; and Bland–Altman plots.ResultsThe original wrist actigraphy data showed modest correspondence with PSG, and much less correspondence was found between hip actigraphy and PSG. The spline-modified wrist actigraphy produced better approximations of interclass correlations, sensitivity, and mean sleep summary measures relative to PSG than the original wrist actigraphy data. The spline-modified hip actigraphy provided improved correspondence, but sleep measures were still not representative of PSG.DiscussionThe results indicate that with some refinement, the spline regression method has the potential to improve sleep estimates obtained using wrist actigraphy.

Purpose The purpose of this study was to investigate occupational and non-occupational mortality among Mexican immigrants in the South Eastern United States. The construction industry has the highest burden of occupational fatalities in the USA of all industries, and foreign-born Hispanic workers are disproportionately affected. Design/methodology/approach Data were obtained from 3,093 death certificates maintained by the Consulate General of Mexico in Atlanta, Georgia. Standardized mortality ratios (SMR) were used to compare occupational-related deaths among construction industry occupations, and logistic regression models were used to examine the relationship between manners of death not related to occupation and employment in the construction industry. Findings The proportion of Mexican immigrants who died from occupational injuries is higher among all construction workers (SMR = 1.31), roofers (SMR = 2.32) and carpenters (SMR = 2.25) than other workers. Among the population in this analysis suicide [adjusted odds ratio (aOR) = 0.63] and death from natural causes (aOR = 0.70) were inversely related to work in the construction industry. Research limitations/implications Interventions to reduce occupational fatalities among Mexican migrant construction workers should target roofers and carpenters. Future research should further investigate the industry’s association with suicide and natural death. Originality/value This is one of the first analyzes that investigated associations between construction industry employment and non-occupational fatalities among immigrants. The analysis provides evidence that a large portion of the Mexican immigrant population is used in the construction industry (38%) and face elevated risks for occupational fatalities and the results of this investigation should encourage greater surveillance of occupational illness and injury among foreign-born immigrants who work in construction, as well as other high-risk industries.