Relation of prenatal and postnatal PM_2.5 exposure with cognitive and motor function among preschool-aged children

The literature informing susceptible periods of exposure on children's neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter (PM2.5) exposure on children's cognitive and motor function among 1303 mother-child pairs in the Spanish INMA (Environment and Childhood) Study. Random forest models with temporal back extrapolation were used to estimate daily residential PM2.5 exposures that we averaged across 1-week lags during the prenatal period and 4-week lags during the postnatal period. The McCarthy Scales of Children's Abilities (MSCA) were administered around 5 years to assess general cognitive index (GCI) and several subscales (verbal, perceptual-performance, memory, fine motor, gross motor). We applied distributed lag nonlinear models within the Bayesian hierarchical framework to explore periods of susceptibility to PM2.5 on each MSCA outcome. Effect estimates were calculated per 5 μg/m3 increase in PM2.5 and aggregated across adjacent statistically significant lags using cumulative β (βcum) and 95% Credible Intervals (95%CrI). We evaluated interactions between PM2.5 with fetal growth and child sex. We did not observe associations of PM2.5 exposure with lower GCI scores. We found a period of susceptibility to PM2.5 on fine motor scores in gestational weeks 1–9 (βcum = −2.55, 95%CrI = −3.53,-1.56) and on gross motor scores in weeks 7–17 (βcum = −2.27,95%CrI = −3.43,-1.11) though the individual lags for the latter were only borderline statistically significant. Exposure in gestational week 17 was weakly associated with verbal scores (βcum = −0.17, 95%CrI = −0.26,-0.09). In the postnatal period (from age 0.5–1.2 years), we observed a window of susceptibility to PM2.5 on lower perceptual-performance (β = −2.42, 95%CrI = −3.37,-1.46). Unexpected protective associations were observed for several outcomes with exposures in the later postnatal period. We observed no evidence of differences in susceptible periods by fetal growth or child sex. Preschool-aged children's motor function may be particularly susceptible to PM2.5 exposures experienced in utero whereas the first year of life was identified as a period of susceptibility to PM2.5 for children's perceptual-performance.</p

Relation of prenatal and postnatal PM_2.5 exposure with cognitive and motor function among preschool-aged children

The literature informing susceptible periods of exposure on children's neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter (PM2.5) exposure on children's cognitive and motor function among 1303 mother-child pairs in the Spanish INMA (Environment and Childhood) Study. Random forest models with temporal back extrapolation were used to estimate daily residential PM2.5 exposures that we averaged across 1-week lags during the prenatal period and 4-week lags during the postnatal period. The McCarthy Scales of Children's Abilities (MSCA) were administered around 5 years to assess general cognitive index (GCI) and several subscales (verbal, perceptual-performance, memory, fine motor, gross motor). We applied distributed lag nonlinear models within the Bayesian hierarchical framework to explore periods of susceptibility to PM2.5 on each MSCA outcome. Effect estimates were calculated per 5 μg/m3 increase in PM2.5 and aggregated across adjacent statistically significant lags using cumulative β (βcum) and 95% Credible Intervals (95%CrI). We evaluated interactions between PM2.5 with fetal growth and child sex. We did not observe associations of PM2.5 exposure with lower GCI scores. We found a period of susceptibility to PM2.5 on fine motor scores in gestational weeks 1–9 (βcum = −2.55, 95%CrI = −3.53,-1.56) and on gross motor scores in weeks 7–17 (βcum = −2.27,95%CrI = −3.43,-1.11) though the individual lags for the latter were only borderline statistically significant. Exposure in gestational week 17 was weakly associated with verbal scores (βcum = −0.17, 95%CrI = −0.26,-0.09). In the postnatal period (from age 0.5–1.2 years), we observed a window of susceptibility to PM2.5 on lower perceptual-performance (β = −2.42, 95%CrI = −3.37,-1.46). Unexpected protective associations were observed for several outcomes with exposures in the later postnatal period. We observed no evidence of differences in susceptible periods by fetal growth or child sex. Preschool-aged children's motor function may be particularly susceptible to PM2.5 exposures experienced in utero whereas the first year of life was identified as a period of susceptibility to PM2.5 for children's perceptual-performance.</p

Susceptible windows of prenatal and postnatal fine particulate matter exposures and attention-deficit hyperactivity disorder symptoms in early childhood

Few prior studies have explored windows of susceptibility to fine particulate matter (PM2.5) in both the prenatal and postnatal periods and children's attention-deficit/hyperactivity disorder (ADHD) symptoms. We analyzed data from 1416 mother-child pairs from the Spanish INMA (INfancia y Medio Ambiente) Study (2003–2008). Around 5 years of age, teachers reported the number of ADHD symptoms (i.e., inattention, hyperactivity/impulsivity) using the ADHD Diagnostic and Statistical Manual of Mental Disorders. Around 7 years of age, parents completed the Conners' Parent Rating Scales, from which we evaluated the ADHD index, cognitive problems/inattention, hyperactivity, and oppositional subscales, reported as age- and sex-standardized T-scores. Daily residential PM2.5 exposures were estimated using a two-stage random forest model with temporal back-extrapolation and averaged over 1-week periods in the prenatal period and 4-week periods in the postnatal period. We applied distributed lag non-linear models within the Bayesian hierarchical model framework to identify susceptible windows of prenatal or postnatal exposure to PM2.5 (per 5-μg/m3) for ADHD symptoms. Models were adjusted for relevant covariates, and cumulative effects were reported by aggregating risk ratios (RRcum) or effect estimates (βcum) across adjacent susceptible windows. A similar susceptible period of exposure to PM2.5 (1.2–2.9 and 0.9–2.7 years of age, respectively) was identified for hyperactivity/impulsivity symptoms assessed ~5 years (RRcum = 2.72, 95% credible interval [CrI] = 1.98, 3.74) and increased hyperactivity subscale ~7 years (βcum = 3.70, 95% CrI = 2.36, 5.03). We observed a susceptibility period to PM2.5 on risk of hyperactivity/impulsivity symptoms ~5 years in gestational weeks 16–22 (RRcum = 1.36, 95% CrI = 1.22, 1.52). No associations between PM2.5 exposure and other ADHD symptoms were observed. We report consistent evidence of toddlerhood as a susceptible window of PM2.5 exposure for hyperactivity in young children. Although mid-pregnancy was identified as a susceptible period of exposure on hyperactivity symptoms in preschool-aged children, this association was not observed at the time children were school-aged.</p

Case Growth analysis to inform Local Response to Covid-19 Epidemic in a Diverse Us Community

Early detection of new outbreak waves is critical for effective and sustained response to the COVID-19 pandemic. We conducted a growth rate analysis using local community and inpatient records from seven hospital systems to characterize distinct phases in SARS-CoV-2 outbreak waves in the Greater Houston area. We determined the transition times from rapid spread of infection in the community to surge in the number of inpatients in local hospitals. We identified 193,237 residents who tested positive for SARS-CoV-2 via molecular testing from April 8, 2020 to June 30, 2021, and 30,031 residents admitted within local healthcare institutions with a positive SARS-CoV-2 test, including emergency cases. We detected two distinct COVID-19 waves: May 12, 2020-September 6, 2020 and September 27, 2020-May 15, 2021; each encompassed four growth phases: lagging, exponential/rapid growth, deceleration, and stationary/linear. Our findings showed that, during early stages of the pandemic, the surge in the number of daily cases in the community preceded that of inpatients admitted to local hospitals by 12-36 days. Rapid decline in hospitalized cases was an early indicator of transition to deceleration in the community. Our real-time analysis informed local pandemic response in one of the largest U.S. metropolitan areas, providing an operationalized framework to support robust real-world surveillance for outbreak preparedness

Falling behind: life expectancy in US counties from 2000 to 2007 in an international context

<p>Abstract</p> <p>Background</p> <p>The United States health care debate has focused on the nation's uniquely high rates of lack of insurance and poor health outcomes relative to other high-income countries. Large disparities in health outcomes are well-documented in the US, but the most recent assessment of county disparities in mortality is from 1999. It is critical to tracking progress of health reform legislation to have an up-to-date assessment of disparities in life expectancy across counties. US disparities can be seen more clearly in the context of how progress in each county compares to international trends.</p> <p>Methods</p> <p>We use newly released mortality data by age, sex, and county for the US from 2000 to 2007 to compute life tables separately for each sex, for all races combined, for whites, and for blacks. We propose, validate, and apply novel methods to estimate recent life tables for small areas to generate up-to-date estimates. Life expectancy rates and changes in life expectancy for counties are compared to the life expectancies across nations in 2000 and 2007. We calculate the number of calendar years behind each county is in 2000 and 2007 compared to an international life expectancy time series.</p> <p>Results</p> <p>Across US counties, life expectancy in 2007 ranged from 65.9 to 81.1 years for men and 73.5 to 86.0 years for women. When compared against a time series of life expectancy in the 10 nations with the lowest mortality, US counties range from being 15 calendar years ahead to over 50 calendar years behind for men and 16 calendar years ahead to over 50 calendar years behind for women. County life expectancy for black men ranges from 59.4 to 77.2 years, with counties ranging from seven to over 50 calendar years behind the international frontier; for black women, the range is 69.6 to 82.6 years, with counties ranging from eight to over 50 calendar years behind. Between 2000 and 2007, 80% (men) and 91% (women) of American counties fell in standing against this international life expectancy standard.</p> <p>Conclusions</p> <p>The US has extremely large geographic and racial disparities, with some communities having life expectancies already well behind those of the best-performing nations. At the same time, relative performance for most communities continues to drop. Efforts to address these issues will need to tackle the leading preventable causes of death.</p

Impact of Optimized Breastfeeding on the Costs of Necrotizing Enterocolitis in Extremely Low Birthweight Infants

To estimate risk of NEC for ELBW infants as a function of preterm formula and maternal milk (MM) intake and calculate the impact of suboptimal feeding on NEC incidence and costs

Early life exposure to fine particulate matter and fine motor function, attentional function, and working memory among Spanish school-aged children

Background: Evidence of the association between fine particulate matter (PM2.5) exposure and child neuropsychological function is equivocal. We examined early life PM2.5 exposure in relation to fine motor function, attention, and working memory in early childhood. Methods: We used data from the Spanish INfancia y Medio Ambiente Project, 2003-2008. Exposure to PM2.5 (μg/m3) was assessed using spatiotemporal land-use random forest models and assigned based on residential address histories. Around age six, children completed the finger tapping test, attentional network test (ANT), and n-back task to evaluate fine motor speed, attention, and working memory, respectively. A total of 1,310 children had data from at least one neuropsychological assessment. General linear models were applied to assess associations between average prenatal and postnatal PM2.5 with each outcome. Distributed lag nonlinear models were used to explore refined periods of susceptibility to PM2.5. We reported β estimates and 99% credible intervals (CrI) representing the change in each outcome per 5-μg/m3 increase in PM2.5. Results: Prenatal PM2.5 exposure was associated with decreased mean hit reaction time (HRT) (β = -21.82; 99% CrI = -64.1, 20.4) and HRT-standard error (β = -9.7; 99% CrI = -30.3, 10.9) on the ANT but estimates were imprecise. Postnatal PM2.5 was associated with reduced mean HRT on the n-back task (β = -39.4; 99% CrI = -115.1, 26.3). We observed sensitive periods of exposure in the postnatal period associated with both better and worse performance on the finger-tapping test and ANT. Conclusions: We found limited evidence to support an association between PM2.5 exposure and fine motor function, attentional function, or working memory in school-aged children.The results reported herein correspond to the specific aims of grant R01ES028842 to K.W.W. from the National Institutes of Health/National Institute of Environmental Health Sciences (NIH/NIEHS). This work was also supported by grants Red INMA G03/176, CB06/02/004; ISCIII-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI04/2018, PI05/1079, PI05/1052, PI06/0867, PI06/1213, PI07/0314, PI09/02311, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI13/02429, PI14/00891, PI14/01687, PI16/1288, PI16/00118, PI17/00663, PI18/00909, PI18/01142, and PI18/01237; Miguel Servet-FEDER CP11/00178, CP15/00025, CPII16/00051, CPII18/00018, and CP16/00128 from Instituto de Salud Carlos III, grant 1999SGR 00241from Generalitat de Catalunya-CIRIT, grant FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1 from the EU Commission, Assistance Award No. R-82811201 from the Health Effects Institute, grant UGP-15-230, UGP-15-244, and UGP-15-249 from Generalitat Valenciana: FISABIO, grant 2005111093 from Alicia Koplowitz Foundation 2017, Department of Health of the Basque Government, grant DFG06/002 from the Provincial Government of Gipuzkoa, and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia y Beasain), and Margarita Salas Grant MS21-125 co-funded by European Union- Next Generation EU and Ministerio de Universidades. We also acknowledge support from the Spanish Ministry of Science and Innovation and the State Research Agency through the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. K.W.W. and E.S. were partially supported by the P30 Environmental Health Sciences Core Center grant P30ES030285 from the NIH/NIEHS and by funding from the NIH/National Institute on Minority Health and Health Disparities (NIMHD) under Award Number P50MD015496

Estimates of the probability of dying between age 15 and age 60-y intervals, 2001–2011, from sibling histories as reported in the University Collaborative Iraq Mortality Study, with plotted estimates from other studies.

<p>Estimates of adult mortality risk (₄₅<i>q</i>₁₅, the risk of dying between the ages of 15 and 59 y), over the period 2001–2011, based on the sibling history survey. The first two time intervals are not strictly 2 y long, in order to align the first interval dividing point with the start of the war in March 2003; the survey concluded July 2, 2011, so the final bar reflects only half of the year. The estimates use the ICSS method to correct for survival bias <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001533#pmed.1001533-LevinRector1" target="_blank">[33]</a>. Mortality estimates from other studies are plotted as point estimates: IMIRA (part of the Iraq Living Conditions Survey) <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001533#pmed.1001533-Central1" target="_blank">[28]</a>, the IFHS household survey (IFHS-HH), and the IFHS sibling survey (IFHS-SIB) <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001533#pmed.1001533-Alkhuzai1" target="_blank">[32]</a>.</p