Mark Cherrie

Mark Cherrie

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Social Science & Medicine
Verified
Journal Article
Open access
MCMark Cherrie
Mark Cherrie
NSNiamh K. Shortt
Niamh K. Shortt
RMRichard J. Mitchell
Richard J. Mitchell
ATAdele M. Taylor
Adele M. Taylor
PRPaul Redmond
Paul Redmond
JPJamie R. Pearce
Jamie R. Pearce
International evidence suggests that green space has beneficial effects on general and mental health but little is known about how lifetime exposure to green space influences cognitive ageing. Employing a novel longitudinal life course approach, we examined the association between lifetime availability of public parks and cognitive ageing. Lifetime residential information was gathered from the participants of the Lothian Birth Cohort 1936 using a "life-grid" questionnaire at age 78 years. Parks information from 1949, 1969 and 2009 was used to determine a percentage of parks within a 1500 m buffer zone surrounding residence for childhood, adulthood, and later adulthood periods. Linear regressions were undertaken to test for association with age-standardised, residualised change in cognitive function (Moray House Test score) from age 11 to 70 years, and from age 70 to 76 (n = 281). The most appropriate model was selected using the results of a partial F-test, and then stratified by demographic, genetic and socioeconomic factors. The local provision of park space in childhood and adulthood were both important in explaining the change in cognitive function in later life. The association between childhood and adulthood park availability and change in the Moray House Test Score from age 70 to 76 was strongest for women, those without an APOE e4 allele (a genetic risk factor), and those in the lowest socioeconomic groups. Greater neighbourhood provision of public parks from childhood through to adulthood may help to slow down the rate of cognitive decline in later life, recognising that such environmental associations are always sensitive to individual characteristics.

28 August 2018 in BMC Public Health
Verified
Journal Article
Open access
PDF file
MCMark Cherrie
Mark Cherrie
GNGordon Nichols
Gordon Nichols
GIGianni Lo Iacono
Gianni Lo Iacono
CSChristophe Sarran
Christophe Sarran
Shakoor HajatShakoor Hajat
Shakoor Hajat
LFLora Fleming
Lora Fleming
Many infectious diseases of public health importance display annual seasonal patterns in their incidence. We aimed to systematically document the seasonality of several human infectious disease pathogens in England and Wales, highlighting those organisms that appear weather-sensitive and therefore may be influenced by climate change in the future. Data on infections in England and Wales from 1989 to 2014 were extracted from the Public Health England (PHE) SGSS surveillance database. We conducted a weekly, monthly and quarterly time series analysis of 277 pathogen serotypes. Each organism’s time series was forecasted using the TBATS package in R, with seasonality detected using model fit statistics. Meteorological data hosted on the MEDMI Platform were extracted at a monthly resolution for 2001–2011. The organisms were then clustered by K-means into two groups based on cross correlation coefficients with the weather variables. Examination of 12.9 million infection episodes found seasonal components in 91/277 (33%) organism serotypes. Salmonella showed seasonal and non-seasonal serotypes. These results were visualised in an online Rshiny application. Seasonal organisms were then clustered into two groups based on their correlations with weather. Group 1 had positive correlations with temperature (max, mean and min), sunshine and vapour pressure and inverse correlations with mean wind speed, relative humidity, ground frost and air frost. Group 2 had the opposite but also slight positive correlations with rainfall (mm, > 1 mm, > 10 mm). The detection of seasonality in pathogen time series data and the identification of relevant weather predictors can improve forecasting and public health planning. Big data analytics and online visualisation allow the relationship between pathogen incidence and weather patterns to be clarified.

MCMark Cherrie
Mark Cherrie
NSNiamh K. Shortt
Niamh K. Shortt
CTCatharine Ward Thompson
Catharine Ward Thompson
IDIan Deary
Ian Deary
JPJamie Pearce
Jamie Pearce
The exposure to green space in early life may support better cognitive aging in later life. However, this exposure is usually measured using the residential location alone. This disregards the exposure to green spaces in places frequented during daily activities (i.e., the ‘activity space’). Overlooking the multiple locations visited by an individual over the course of a day is likely to result in poor estimation of the environmental exposure and therefore exacerbates the contextual uncertainty. A child’s activity space is influenced by factors including age, sex, and the parental perception of the neighborhood. This paper develops indices of park availability based on individuals’ activity spaces (home, school, and the optimal route to school). These measures are used to examine whether park availability in childhood is related to cognitive change much later in life. Multi-level linear models, including random effects for schools, were used to test the association between park availability during childhood and adolescence and cognitive aging (age 70 to 76) in the Lothian Birth Cohort 1936 participants (N = 281). To test for the effect modification, these models were stratified by sex and road traffic accident (RTA) density. Park availability during adolescence was associated with better cognitive aging at a concurrently low RTA density (β = 0.98, 95% CI: 0.36 to 1.60), but not when the RTA density was higher (β = 0.22, 95% CI: −0.07 to 0.51). Green space exposure during early life may be important for optimal cognitive aging; this should be evidenced using activity space-based measures within a life-course perspective.

1 January 2020 in Public Health Research
Verified
Journal Article
Closed access
SHSally Haw
Sally Haw
DCDorothy Currie
Dorothy Currie
DEDouglas Eadie
Douglas Eadie
JPJamie Pearce
Jamie Pearce
AMAndy MacGregor
Andy MacGregor
SMSteas M
Steas M
Background: Tobacco displays at point of sale have been shown to increase young people’s pro-smoking attitudes, susceptibility to smoking and smoking initiation. In Scotland, legislation that prohibited tobacco point-of-sale displays was implemented in large stores (i.e. those > 280 m2) in April 2013 and in small retailers in April 2015. Objective: To assess the impact of the point-of-sale tobacco display ban on young people’s exposure to tobacco advertising, their attitudes to smoking and smoking susceptibility, and their risk of smoking initiation. Design: Multimodal before-and-after study design using mixed methods to collect data at baseline (2013) and then longitudinally for 4 years. Setting: Four main study communities in the central belt of mainland Scotland, UK, purposively selected to reflect two levels of urbanity (urban vs. small town) and two levels of deprivation (high vs. medium/low). Four matched communities. Participants: In the main study communities, 94 tobacco retail outlets. All Secondary 2 (aged 13 years) and Secondary 4 (aged 15 years) pupils in 2013 and 2014 together with all Secondary 1 to Secondary 6 (aged 12–17 years) pupils in 2015–17. This included 6612 pupils who completed 14,344 questionnaires over 5 years. Three hundred and eighty-two participants in 80 focus groups who were recruited from Secondary 2 and Secondary 4 in 2013–17. In matched communities, 24 retail panel members in 2013–17. Main outcome measures: Tobacco product and tobacco storage visibility, density of retail outlets (the number of retailers in a pre-defined area such as a residential neighbourhood), tobacco product exposure, brand awareness, perceived accessibility of tobacco, pro-smoking attitudes, pro-smoking norms, smoking susceptibility and smoking initiation. Data platform and methods: The study had four components – a mapping and spatial analysis of retail outlets; a tobacco marketing audit, including retail panel interviews in matched communities; school surveys; and focus group discussions with secondary school pupils. Limitations: The study was based on a small number of communities and did not include communities in remote areas. Results: Compliance with the point-of-sale legislation in Scotland was high. This led to a large reduction in the visibility of tobacco products in retail outlets. However, when the results were stratified by socioeconomic status, declines in retailer density, weighted by total product visibility, were restricted to the least disadvantaged tertile of participants. Nevertheless, the implementation of the legislation was associated with a reduction in risk of both smoking susceptibility and smoking initiation in young people, as well as a reduction in the perceived accessibility of tobacco and in pro-smoking attitudes after both the partial and the comprehensive bans were introduced. Conclusions: The Scottish point-of-sale legislation has been successful in reducing the overall visibility of tobacco products and is associated with improvements in attitudinal and behavioural outcomes in young people. However, cues that tobacco is for sale are still highly visible, particularly in retail outlets in areas of deprivation. In addition, the increase in retailer density that was observed after 2015 increased inequalities in product visibility. There was also evidence that the emergence of e-cigarettes may have disrupted the full impact of the legislation. Future work: Our research indicates that further research is needed to examine the longitudinal relationships between tobacco outlet availability and product visibility inequalities; and the impact of e-cigarettes and standardised packaging on smoking initiation and prevalence. Funding: This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 1. See the NIHR Journals Library website for further project information.

15 April 2022 in Environmental Pollution
Verified
Journal Article
Open access
WMWilliam Mueller
William Mueller
PWPaul Wilkinson
Paul Wilkinson
JMJames Milner
James Milner
MLMiranda Loh
Miranda Loh
Sotiris VardoulakisSotiris Vardoulakis
Sotiris Vardoulakis
DAD.K. Arvind
D.K. Arvind
The presence of urban greenspace may lead to reduced personal exposure to air pollution via several mechanisms, for example, increased dispersion of airborne particulates; however, there is a lack of real-time evidence across different urban contexts. Study participants were 79 adolescents with asthma who lived in Delhi, India and were recruited to the Delhi Air Pollution and Health Effects (DAPHNE) study. Participants were monitored continuously for exposure to PM2.5 (particulate matter with an aerodynamic diameter of less than 2.5 μm) for 48 h. We isolated normal day-to-day walking journeys (n = 199) from the personal monitoring dataset and assessed the relationship between greenspace and personal PM2.5 using different spatial scales of the mean Normalised Difference Vegetation Index (NDVI), mean tree cover (TC), and proportion of surrounding green land use (GLU) and parks or forests (PF). The journeys had a mean duration of 12.7 (range 5, 53) min and mean PM2.5 personal exposure of 133.9 (standard deviation = 114.8) μg/m3. The within-trip analysis showed weak inverse associations between greenspace markers and PM2.5 concentrations only in the spring/summer/monsoon season, with statistically significant associations for TC at the 25 and 50 m buffers in adjusted models. Between-trip analysis also indicated inverse associations for NDVI and TC, but suggested positive associations for GLU and PF in the spring/summer/monsoon season; no overall patterns of association were evident in the autumn/winter season. Associations between greenspace and personal PM2.5 during walking trips in Delhi varied across metrics, spatial scales, and season, but were most consistent for TC. These mixed findings may partly relate to journeys being dominated by walking along roads and small effects on PM2.5 of small pockets of greenspace. Larger areas of greenspace may, however, give rise to observable spatial effects on PM2.5, which vary by season.

1 February 2021 in Social Science & Medicine
Verified
Journal Article
Closed access
SCSarah Curtis
Sarah Curtis
NCNiall Cunningham
Niall Cunningham
JPJamie Pearce
Jamie Pearce
Peter CongdonPeter Congdon
Peter Congdon
MCMark Cherrie
Mark Cherrie
SASarah Atkinson
Sarah Atkinson