Spirometric phenotypes from early childhood to young adulthood: A CADSET (Chronic Airway Disease Early Stratification) study

BackgroundThe prevalences of obstructive and restrictive spirometric phenotypes, and their relation to early-life risk factors from childhood to young adulthood remain poorly understood. The aim was to explore these phenotypes and associations with well-known respiratory risk factors across ages and populations in European cohorts.MethodsWe studied 49 334 participants from 14 population-based cohorts in different age-groups (≤10, >10–15, >15–20, >20–25 years, and overall, 5–25 years). The obstructive phenotype was defined as FEV1/FVC z-score <the lower limit of normal (LLN), whereas the restrictive as FEV1/FVC z-score ≥LLN, and FVC z-score <LLN.ResultsThe prevalence of obstructive and restrictive phenotypes varied from 3.2–10.9% and 1.8–7.7%, respectively, without clear age trends. A diagnosis of asthma (adjusted odds ratio, aOR=2.55 [95% CI=2.14–3.04]), preterm birth (aOR=1.84 [1.27–2.66]), maternal smoking during pregnancy (aOR=1.16 [1.01–1.35]), and family history of asthma (aOR=1.44 [1.25–1.66]) were associated with a higher prevalence of obstructive, but not restrictive phenotype across ages (5–25 years). A higher current body mass index (BMI) was more often observed in those with the obstructive phenotype but less in those with the restrictive (aOR=1.05 [1.03–1.06] and aOR=0.81 [0.78–0.85], per kg/m2 increase in BMI, respectively). Current smoking was associated with the obstructive phenotype in participants older than 10 years (aOR=1.24 [1.05–1.46]).ConclusionObstructive and restrictive phenotypes were found to be relatively prevalent during childhood, which supports the early origins concept. Several well-known respiratory risk factors were associated with obstructive phenotype, whereas only low BMI was associated with the restrictive phenotype, suggesting different underlying pathobiology of these two phenotypes.

Crime Data Analysis in San Francisco, Seattle and India using OpenStreetMap

Crime is rampant in our society for a very expert. San Francisco, Seattle and Indian Police Departments continued to schedule many lawbreaker cases occurring every day and have liberated this information to the community as factor of an uncovered data system. In this project, data interpretation applied to these databases. The focus will be on conducting a detailed interpretation of the prime offences that occur in the town, identifying age trends, and determining how various factors, such as the seasons, contribute to a particular offence. In crime analysis, performing pre-data processing, data visualization on OpenStreetMap, data integration, temporal styles, and correction analysis using R and R studio software. To carry out this procedure using the San Francisco, Seattle and Indian Police Department's Data Databases.

Detrital zircon geochronology of modern river sediment in south-central Alaska: Provenance, magmatic, and tectonic insights into the Mesozoic and Cenozoic development of the southern Alaska convergent margin

New and previously published detrital zircon U-Pb ages from sediment in major rivers of south- central Alaska archive several major episodes of magmatism associated with the tectonic growth of this convergent margin. Analysis of detrital zircons from major trunk rivers of the Tanana, Matanuska-Susitna, and Copper River watersheds (N = 40, n = 4870) documents major &lt;250 Ma age populations that are characteristic of the main phases of Mesozoic and Paleogene magmatism in the region as documented from limited U-Pb ages of igneous rocks. Key points from our detrital record include: (1) Major magmatic episodes occurred at 170, 150, 118, 95, 72, 58, and 36 Ma. The overall pattern of these ages suggests that felsic magmatism was episodic with periodicity ranging between ~14 and 32 m.y. with an average of ~22 m.y. (2) Magmatism in south-central Alaska shows similar age trends with both the Coast Mountains batholith and the along-strike Alaska Peninsula forearc basin strata, demonstrating a spatial and temporal relationship of felsic magmatism along the entire northern Cordilleran margin. (3) Topography and zircon fertility appear to influence the presence and/or absence of detrital zircon populations in individual watersheds. Results from this study indicate that regionally integrated detrital zircon populations from modern trunk rivers are faithful recorders of Mesozoic and Paleogene magmatic events along a convergent margin, but there appears to be a lag time for major rivers to record Neogene and ongoing magmatic events.

The Big Five Across Socioeconomic Status: Measurement Invariance, Relationships, and Age Trends

Associations between socioeconomic status (SES) and personality traits have important implications for theory and application. Progress in understanding these associations depends on valid measurement, unbiased estimation, and careful assessment of generalizability. In this registered report, we used data from AIID, a large online study, to address three basic questions about personality and SES. First, we evaluated the measurement invariance of a common measure of personality, the Big Five Inventory, across indicators of educational attainment, income, and occupational prestige. Fit indices showed some instances of detectable noninvariance, but with little practical impact on substantive results. Second, we estimated associations between SES and personality. Results showed that personality and SES were largely independent (most rs &lt; .1), in contrast to predictions derived from several previous studies. Third, we tested whether age trends in personality were moderated by SES. Results did not support predictions from social investment theory, but they did suggest that age trends were largely generalizable across SES. We discuss the implications of these findings for developing and validating personality measures for use in diverse samples. We also discuss the implications for theories that propose that the Big Five are responsive to, or partially responsible for, people’s economic and social conditions.

Age Trends in Growth and Differentiation Factor-11 and Myostatin Levels in Healthy Men, Measured Using Liquid Chromatography Tandem Mass Spectrometry: Differential Response to Testosterone

Background Growth and differentiation factor (GDF)-11 controls embryonic development and has been proposed as an anti-aging factor. GDF-8 (myostatin) inhibits skeletal muscle growth. Difficulties in accurately measuring circulating GDF-11 and GDF-8 have generated controversy. Methods We developed a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for simultaneous measurement of circulating GDF-8 and GDF-11 that employs denaturation, reduction and alkylation; cation-exchange solid-phase extraction; tryptic digestion; followed by separation and quantification using two signature peptides for MRM and C-terminal [ 13C6 15N4]-Arg peptides as internal standards. We evaluated age trends in serum GDF-11 and GDF-8 concentrations in community-dwelling healthy men, 19 years or older and determined the effects of graded testosterone doses on GDF-8 and GDF-11 concentrations in healthy men in a randomized trial. Results The assay demonstrated linearity over a wide range, lower limit of quantitation 0.5 ng/mL for both proteins, and excellent precision, accuracy, and specificity (no detectable cross-reactivity of GDF-8 in GDF-11 assay or of GDF-11 in GDF-8 assay). Mean±SD (median±1QR) GDF-8 and GDF-11 levels in healthy community-dwelling men, 19 years and older, were 7.2±1.9 (6.8±1.4) ng/mL. Neither GDF-8 nor GDF-11 levels were related to age or body composition. Testosterone treatment significantly increased serum GDF-8 but not GDF-11 levels. Conclusions The LC-MS/MS method for the simultaneous measurement of circulating total GDF-8 and GDF-11 demonstrates the characteristics of a valid assay. Testosterone treatment increased GDF-8 levels, but not GDF-11. Increase in GDF-8 levels by testosterone treatment which increased muscle mass, suggests that GDF-8 acts as a chalone to restrain muscle growth.

540 Age Trends in Sleep Across the Lifespan: Findings from the Pittsburgh Lifespan Sleep Databank

Introduction Sleep continuously changes over the human lifespan and it does so across multiple dimensions, including duration, timing, efficiency, and variability. Although studies focused on specific developmental periods have shown age-related changes in sleep, methodological differences make it difficult to synthesize information across studies to fully understand precisely when these sleep changes occur. Our goal was to use individual-level actigraphy and self-report sleep data from a single site to characterize age trends and sex differences in actigraphy and self-report sleep dimensions across the healthy human lifespan. To accomplish this goal, we developed the Pittsburgh Lifespan Sleep Databank (PLSD), a large aggregate databank of participants from sleep research studies conducted at the University of Pittsburgh. Methods In the present analysis, we included N=1,070 PLSD participants from 21 studies without a major psychiatric, sleep, or medical condition. We used Generalized Additive Models to examine flexible, potentially non-linear relationships between age and sleep dimensions (actigraphy and self-report duration, efficiency, and timing; actigraphy variability) from ages 10 to 87. We also examined whether these sleep characteristics differed by sex across the lifespan. Results The most dramatic age-related trends were observed in sleep timing. Actigraphy and self-report sleep onset time shifted later between ages 10–18 and then shifted earlier again during the 20s. Actigraphy and self-report wake-up time also shifted earlier during the mid-20s through late 30s. Self-report duration became shorter from approximately ages 10–20. Self-report sleep efficiency and actigraphy variability both decreased over the entire lifespan. Relative to males, females tended to have earlier self-report sleep onset, higher actigraphy sleep efficiency, and longer actigraphy duration. Conclusion By focusing on lifespan sleep rather than specific age segments of the samples, we can provide a unified assessment of age-related changes and sex differences from childhood through older adulthood. An understanding of age trends and sex differences in sleep in healthy individuals – and explicating the timing and nature of these difference – can be used to identify periods of sleep-related risk or resilience and guide intervention efforts. Support (if any) University of Pittsburgh Clinical and Translational Science Institute (UL1TR001857).