Life-course socio-economic status and its impact on functional health of Portuguese older adults.

Functional health is arguably one of the most important health indicators for older adults, because it assesses physical, cognitive and social functions in combination. However, life-course circumstances may impact this multidimensional construct. The aim of the present study was to assess the relationship between life-course socio-economic status (SES) and different dimensions of functional health in older adults. Data on 821 Portuguese adults aged 50 years and over in 2013-2015 were analysed. Life-course SES was computed using participants' paternal occupation (non-manual (nm); manual (m)) and own occupation (nm; m), resulting in four patterns: stable high (nm + nm), upward (m + nm), downward (nm + m) and stable low (m + m). Functional health included physical and mental functioning, cognitive function, handgrip strength, and walking speed. Linear (beta coefficients) and logistic regressions (odds ratios) were used to estimate the association between life-course SES and functional health.Overall, those who accumulated social disadvantage during life-course presented worse functional health than those with stable high SES (stable low - SF-36 physical functioning: ß = -9.75; 95% CI: -14.34; -5.15; SF-36 mental health: ß = -7.33; 95% CI: -11.55; -3.11; handgrip strength: ß = -1.60; 95% CI: -2.86; -0.35; walking time, highest tertile: OR = 5.28; 95% CI: 3.07; 9.09). Those with an upward SES were not statistically different from those in the stable high SES for most of the health outcomes; however, those with an upward SES trajectory tended to have higher odds of cognitive impairment (OR = 1.75; 95% CI: 0.96; 3.19). A downward SES trajectory increased the odds of slower walking speed (OR = 4.62; 95% CI: 1.78; 11.95). A disadvantaged life-course SES impacts older adults' physical and mental functioning. For some outcomes, this was attenuated by a favourable adulthood SES but those with a stable low SES consistently presented worse functional health.

Time-series analysis to study the impact of an intersection on dispersion along a street canyon.

This paper presents data analysis from the Brooklyn Traffic Real-Time Ambient Pollutant Penetration and Environmental Dispersion (B-TRAPPED) study to assess the transport of ultrafine particulate matter (PM) across urban intersections. Experiments were performed in a street canyon perpendicular to a highway in Brooklyn, NY, USA. Real-time ultrafine PM samplers were positioned on either side of an intersection at multiple locations along a street to collect time-series number concentration data. Meteorology equipment was positioned within the street canyon and at an upstream background site to measure wind speed and direction. Time-series analysis was performed on the PM data to compute a transport velocity along the direction of the street for the cases where background winds were parallel and perpendicular to the street. The data were analyzed for sampler pairs located (1) on opposite sides of the intersection and (2) on the same block. The time-series analysis demonstrated along-street transport, including across the intersection when background winds were parallel to the street canyon and there was minimal transport and no communication across the intersection when background winds were perpendicular to the street canyon. Low but significant values of the cross-correlation function (CCF) underscore the turbulent nature of plume transport along the street canyon. The low correlations suggest that flow switching around corners or traffic-induced turbulence at the intersection may have aided dilution of the PM plume from the highway. This observation supports similar findings in the literature. Furthermore, the time-series analysis methodology applied in this study is introduced as a technique for studying spatiotemporal variation in the urban microscale environment.