Mapping Modeled Exposure of Wildland Fire Smoke for Human Health Studies in California.

Wildland fire smoke exposure affects a broad proportion of the U.S. population and is increasing due to climate change, settlement patterns and fire seclusion. Significant public health questions surrounding its effects remain, including the impact on cardiovascular disease and maternal health. Using atmospheric chemical transport modeling, we examined general air quality with and without wildland fire smoke PM2.5. The 24-h average concentration of PM2.5 from all sources in 12-km gridded output from all sources in California (2007-2013) was 4.91 µg/m3. The average concentration of fire-PM2.5 in California by year was 1.22 µg/m3 (~25% of total PM2.5). The fire-PM2.5 daily mean was estimated at 4.40 µg/m3 in a high fire year (2008). Based on the model-derived fire-PM2.5 data, 97.4% of California's population lived in a county that experienced at least one episode of high smoke exposure ("smokewave") from 2007-2013. Photochemical model predictions of wildfire impacts on daily average PM2.5 carbon (organic and elemental) compared to rural monitors in California compared well for most years but tended to over-estimate wildfire impacts for 2008 (2.0 µg/m3 bias) and 2013 (1.6 µg/m3 bias) while underestimating for 2009 (-2.1 µg/m3 bias). The modeling system isolated wildfire and PM2.5 from other sources at monitored and unmonitored locations, which is important for understanding population exposure in health studies. Further work is needed to refine model predictions of wildland fire impacts on air quality in order to increase confidence in the model for future assessments. Atmospheric modeling can be a useful tool to assess broad geographic scale exposure for epidemiologic studies and to examine scenario-based health impacts.

Association of maternal sleep practices with pre-eclampsia, low birth weight, and stillbirth among Ghanaian women.

OBJECTIVE: To assess sleep practices, and investigate their relationship with maternal and fetal outcomes, among pregnant Ghanaian women. METHODS: In a cross-sectional study conducted at Korle Bu Teaching Hospital, Accra, Ghana, between June and July 2011, postpartum women were interviewed within 48hours of delivery about sleep quality and practices during pregnancy. Interviews were coupled with a systematic review of participants' medical charts for key outcomes including maternal hypertension, pre-eclampsia, premature delivery, low birth weight, and stillbirth. RESULTS: Most women reported poor sleep quality during pregnancy. Snoring during pregnancy was independently associated with pre-eclampsia (odds ratio [OR], 3.5; 95% confidence interval [CI], 1.4-8.5; P=0.007). The newborns of women who reported supine sleep during pregnancy were at increased risk of low birth weight (OR, 5.0; 95% CI, 1.2-20.2; P=0.025) and stillbirth (OR, 8.0; 95% CI, 1.5-43.2; P=0.016). Low birth weight was found to mediate the relationship between supine sleep and stillbirth. CONCLUSION: The present findings in an African population demonstrate that maternal sleep, a modifiable risk factor, has a significant role in pre-eclampsia, low birth weight, and subsequently stillbirth.

Quality of life, optimism/pessimism, and knowledge and attitudes toward HIV Screening among pregnant women in Ghana.

OBJECTIVE: We sought to explore optimism/pessimism, knowledge of HIV, and attitudes toward HIV screening and treatment among Ghanaian pregnant women. METHOD: Pregnant women in Accra, Ghana, completed a self-administered questionnaire including the Life Orientation Test-Revised (LOT-R, an optimism/pessimism measure), an HIV knowledge and screening attitudes questionnaire, the Short Form 12 (SF-12, a measure of health-related quality of life [HRQOL]), and a demographic questionnaire. Data were analyzed using t-tests, ANOVA, correlations, and the chi2 test. RESULTS: There were 101 participants; 28% were nulliparous. Mean age was 29.7 years, and mean week of gestation was 31.8. All women had heard of AIDS, 27.7% had been tested for HIV before this pregnancy, 46.5% had been tested during this pregnancy, and 59.4% of the sample had ever been tested for HIV. Of those not tested during this pregnancy, 64.2% were willing to be tested. Of all respondents, 89% said they would get tested if antiretroviral drugs (ARVs) were readily available and might prevent maternal-to-child transmission. Neither optimism/pessimism nor HRQOL was associated with attitudes toward HIV screening. Optimism was negatively correlated with HIV knowledge (p = .001) and was positively correlated with having never been tested before this pregnancy (p = .007). CONCLUSION: The relationship between optimism/pessimism and HIV knowledge and screening behavior is worthy of further study using larger samples and objective measures of testing beyond self-report.