120 research outputs found

    Feasibility, clinical efficacy, and well-being outcomes of an online singing intervention for postnatal depression in the UK: SHAPER-PNDO, a single-arm clinical trial

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    BACKGROUND: Postnatal depression (PND) affects over 12% of mothers, with numbers rising during COVID-19. Singing groups can support mothers with PND; however, online delivery has never been evaluated. SHAPER-PNDO, a single-arm clinical trial, evaluated the feasibility, clinical efficacy, and well-being outcomes of a 6-week online version of Breathe Melodies for Mums (M4M) singing intervention developed for mothers with PND during COVID-19 lockdowns. METHODS: The primary objective of this study was to assess the feasibility of a group online singing intervention for new mothers with postnatal depression. This was ascertained through recruitment rates, study retention rates, attendance rates to the singing sessions, and study completion rates. The secondary objective of the study was to assess the clinical efficacy and well-being outcomes of the singing intervention. Specifically, we measured change in Edinburgh Postnatal Depression Scale (EPDS), State-Trait Anxiety Inventory (STAI), Perceived Stress Scale (PSS), and Office for National Statistics Wellbeing Scale (ONS) scores from baseline to end-of-intervention (week 6); follow-up assessments were completed at weeks 3, 16, and 32. Mothers were eligible if they scored ≥10 on the baseline EPDS. RESULTS: Eighty-seven percent of the 37 recruited mothers completed the study, attending, on average, 5 of the 6 group singing sessions. With regard to secondary outcomes, at end-of-treatment, mothers experienced significant reductions in depression (EPDS, 16.6 ± 3.7 to 11.2 ± 5.3, 95% CI [0.79,1.65]), anxiety (STAI-S, 48.4 ± 27.1 to 41.7 ± 26.8, 95% CI [4.96, 17.65]) and stress (PSS, 29.0 ± 5.7 to 19.7 ± 5.3, 95% CI [1.33, 7.07]); and, furthermore, significant improvements in life satisfaction (ONS, 50.5 ± 23.0 to 72.8 ± 11.7, 95% CI [- 39.86, - 4.64]) and feelings of worthwhileness (ONS, 51.7 ± 30.4 to 78.6 ± 15.1, 95% CI [- 52.79, - 0.85]). Reduction on the EPDS correlated with a reduction on the BDI and the STAI-S and maternal childhood maltreatment was predictive of a smaller treatment response. CONCLUSIONS: M4M online was feasible to mothers who partook in the programme. Furthermore, M4M online supports the mental health and well-being of new mothers experiencing PND, especially when barriers to in-person treatment are present

    Particulate air pollution and survival in a COPD cohort

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    <p>Abstract</p> <p>Background</p> <p>Several studies have shown cross-sectional associations between long term exposure to particulate air pollution and survival in general population or convenience cohorts. Less is known about susceptibility, or year to year changes in exposure. We investigated whether particles were associated with survival in a cohort of persons with COPD in 34 US cities, eliminating the usual cross-sectional exposure and treating PM<sub>10 </sub>as a within city time varying exposure.</p> <p>Methods</p> <p>Using hospital discharge data, we constructed a cohort of persons discharged alive with chronic obstructive pulmonary disease using Medicare data between 1985 and 1999. 12-month averages of PM<sub>10 </sub>were merged to the individual annual follow up in each city. We applied Cox's proportional hazard regression model in each city, with adjustment for individual risk factors.</p> <p>Results</p> <p>We found significant associations in the survival analyses for single year and multiple lag exposures, with a hazard ratio for mortality for an increase of 10 μg/m<sup>3 </sup>PM<sub>10 </sub>over the previous 4 years of 1.22 (95% CI: 1.17–1.27).</p> <p>Conclusion</p> <p>Persons discharged alive for COPD have substantial mortality risks associated with exposure to particles. The risk is evident for exposure in the previous year, and higher in a 4 year distributed lag model. These risks are significantly greater than seen in time series analyses.</p

    Feasibility, clinical efficacy, and well-being outcomes of an online singing intervention for postnatal depression in the UK: SHAPER-PNDO, a single-arm clinical trial

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    Background: Postnatal depression (PND) affects over 12% of mothers, with numbers rising during COVID-19. Singing groups can support mothers with PND; however, online delivery has never been evaluated. SHAPER-PNDO, a single-arm clinical trial, evaluated the feasibility, clinical efficacy, and well-being outcomes of a 6-week online version of Breathe Melodies for Mums (M4M) singing intervention developed for mothers with PND during COVID-19 lockdowns. Methods: The primary objective of this study was to assess the feasibility of a group online singing intervention for new mothers with postnatal depression. This was ascertained through recruitment rates, study retention rates, attendance rates to the singing sessions, and study completion rates. The secondary objective of the study was to assess the clinical efficacy and well-being outcomes of the singing intervention. Specifically, we measured change in Edinburgh Postnatal Depression Scale (EPDS), State-Trait Anxiety Inventory (STAI), Perceived Stress Scale (PSS), and Office for National Statistics Wellbeing Scale (ONS) scores from baseline to end-of-intervention (week 6); follow-up assessments were completed at weeks 3, 16, and 32. Mothers were eligible if they scored ≥10 on the baseline EPDS. Results: Eighty-seven percent of the 37 recruited mothers completed the study, attending, on average, 5 of the 6 group singing sessions. With regard to secondary outcomes, at end-of-treatment, mothers experienced significant reductions in depression (EPDS, 16.6 ± 3.7 to 11.2 ± 5.3, 95% CI [0.79,1.65]), anxiety (STAI-S, 48.4 ± 27.1 to 41.7 ± 26.8, 95% CI [4.96, 17.65]) and stress (PSS, 29.0 ± 5.7 to 19.7 ± 5.3, 95% CI [1.33, 7.07]); and, furthermore, significant improvements in life satisfaction (ONS, 50.5 ± 23.0 to 72.8 ± 11.7, 95% CI [− 39.86, − 4.64]) and feelings of worthwhileness (ONS, 51.7 ± 30.4 to 78.6 ± 15.1, 95% CI [− 52.79, − 0.85]). Reduction on the EPDS correlated with a reduction on the BDI and the STAI-S and maternal childhood maltreatment was predictive of a smaller treatment response. Conclusions: M4M online was feasible to mothers who partook in the programme. Furthermore, M4M online supports the mental health and well-being of new mothers experiencing PND, especially when barriers to in-person treatment are present. Trial registration: ClinicalTrials.gov NCT04857593. Registered 22 April 2021, retrospectively registered

    Effect of personal exposure to black carbon on changes in allergic asthma gene methylation measured 5 days later in urban children: importance of allergic sensitization

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    Background Asthma gene DNA methylation may underlie the effects of air pollution on airway inflammation. However, the temporality and individual susceptibility to environmental epigenetic regulation of asthma has not been fully elucidated. Our objective was to determine the timeline of black carbon (BC) exposure, measured by personal sampling, on DNA methylation of allergic asthma genes 5 days later to capture usual weather variations and differences related to changes in behavior and activities. We also sought to determine how methylation may vary by seroatopy and cockroach sensitization and by elevated fractional exhaled nitric oxide (FeNO). Methods Personal BC levels were measured during two 24-h periods over a 6-day sampling period in 163 New York City children (age 9–14 years), repeated 6 months later. During home visits, buccal cells were collected as noninvasive surrogates for lower airway epithelial cells and FeNO measured as an indicator of airway inflammation. CpG promoter loci of allergic asthma genes (e.g., interleukin 4 (IL4), interferon gamma (IFNγ), inducible nitric oxide synthase (NOS2A)), arginase 2 (ARG2)) were pyrosequenced at the start and end of each sampling period. Results Higher levels of BC were associated with lower methylation of IL4 promoter CpG−48 5 days later. The magnitude of association between BC exposure and demethylation of IL4 CpG−48 and NOS2A CpG+5099 measured 5 days later appeared to be greater among seroatopic children, especially those sensitized to cockroach allergens (RR [95% CI] 0.55 [0.37–0.82] and 0.67 [0.45–0.98] for IL4 CpG−48 and NOS2A CpG+5099, respectively), compared to non-sensitized children (RR [95% CI] 0.87 [0.65–1.17] and 0.95 [0.69–1.33] for IL4 CpG−48 and NOS2A CpG+5099, respectively); however, the difference was not statistically different. In multivariable linear regression models, lower DNA methylation of IL4 CpG−48 and NOS2A CpG+5099 were associated with increased FeNO. Conclusions Our results suggest that exposure to BC may exert asthma proinflammatory gene demethylation 5 days later that in turn may link to airway inflammation. Our results further suggest that seroatopic children, especially those sensitized to cockroach allergens, may be more susceptible to the effect of acute BC exposure on epigenetic changes

    A review of spatial causal inference methods for environmental and epidemiological applications

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    The scientific rigor and computational methods of causal inference have had great impacts on many disciplines, but have only recently begun to take hold in spatial applications. Spatial casual inference poses analytic challenges due to complex correlation structures and interference between the treatment at one location and the outcomes at others. In this paper, we review the current literature on spatial causal inference and identify areas of future work. We first discuss methods that exploit spatial structure to account for unmeasured confounding variables. We then discuss causal analysis in the presence of spatial interference including several common assumptions used to reduce the complexity of the interference patterns under consideration. These methods are extended to the spatiotemporal case where we compare and contrast the potential outcomes framework with Granger causality, and to geostatistical analyses involving spatial random fields of treatments and responses. The methods are introduced in the context of observational environmental and epidemiological studies, and are compared using both a simulation study and analysis of the effect of ambient air pollution on COVID-19 mortality rate. Code to implement many of the methods using the popular Bayesian software OpenBUGS is provided
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