Research experience
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Jan 2012–
Dec 2013Research: University of St Andrews
University of St Andrews · School of MedicineUnited Kingdom · Saint Andrews -
Jan 1998–
presentResearch: The University of Edinburgh
The University of Edinburgh · Institute of Cell BiologyUnited Kingdom · Edinburgh
Publications (17) View all
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Article: The Authors reply.
Journal of Adolescent Health 03/2013; 52(3):376. · 3.33 Impact Factor -
Article: The food retail environment in school neighborhoods and its relation to lunchtime eating behaviors in youth from three countries.
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ABSTRACT: This study examined the relation between the chain food retail environment surrounding schools, youths' lunchtime eating behavior, and youths' obesity levels across three countries. Participants consisted of 26,778 students 13-15 years old from 687 schools across Canada, Scotland and the US. The density of convenience stores, chain fast food restaurants, and chain cafés within 1km of each school was measured. Lunchtime eating behaviors, weight, and height were self-reported. Although the density of chain food retailers was highest in the US, fewer American students (2.6%) routinely ate their lunch at a food retailer during the school week than did Canadian (7.7%) and Scottish (43.7%) students. The density of chain food retailers was associated with eating lunch at a food retailer in Canada only whereby students attending schools with 1-2, 3-4, and 5+ chain food retailers within 1km from their schools were 1.39 (95% CI: 0.84-2.29), 1.87 (95% CI: 1.10-3.20), and 2.50 (95% CI: 1.56-4.01) times more likely to eat at a chain food retailer compared to students attending schools with no nearby chain food retailers. No associations were found between chain food retailer density and obesity.Health & Place 09/2012; 18(6):1240-1247. · 2.67 Impact Factor -
Article: Health of the world's adolescents: a synthesis of internationally comparable data.
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ABSTRACT: Adolescence and young adulthood offer opportunities for health gains both through prevention and early clinical intervention. Yet development of health information systems to support this work has been weak and so far lagged behind those for early childhood and adulthood. With falls in the number of deaths in earlier childhood in many countries and a shifting emphasis to non-communicable disease risks, injuries, and mental health, there are good reasons to assess the present sources of health information for young people. We derive indicators from the conceptual framework for the Series on adolescent health and assess the available data to describe them. We selected indicators for their public health importance and their coverage of major health outcomes in young people, health risk behaviours and states, risk and protective factors, social role transitions relevant to health, and health service inputs. We then specify definitions that maximise international comparability. Even with this optimisation of data usage, only seven of the 25 indicators, covered at least 50% of the world's adolescents. The worst adolescent health profiles are in sub-Saharan Africa, with persisting high mortality from maternal and infectious causes. Risks for non-communicable diseases are spreading rapidly, with the highest rates of tobacco use and overweight, and lowest rates of physical activity, predominantly in adolescents living in low-income and middle-income countries. Even for present global health agendas, such as HIV infection and maternal mortality, data sources are incomplete for adolescents. We propose a series of steps that include better coordination and use of data collected across countries, greater harmonisation of school-based surveys, further development of strategies for socially marginalised youth, targeted research into the validity and use of these health indicators, advocating for adolescent-health information within new global health initiatives, and a recommendation that every country produce a regular report on the health of its adolescents.The Lancet 04/2012; 379(9826):1665-75. · 38.28 Impact Factor -
Article: Socioeconomic inequalities in childhood exposure to secondhand smoke before and after smoke-free legislation in three UK countries.
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ABSTRACT: BACKGROUND: Secondhand smoke (SHS) exposure is higher among lower socioeconomic status (SES) children. Legislation restricting smoking in public places has been associated with reduced childhood SHS exposure and increased smoke-free homes. This paper examines socioeconomic patterning in these changes. METHODS: Repeated cross-sectional survey of 10 867 schoolchildren in 304 primary schools in Scotland, Wales and Northern Ireland. Children provided saliva for cotinine assay, completing questionnaires before and 12 months after legislation. RESULTS: SHS exposure was highest, and private smoking restrictions least frequently reported, among lower SES children. Proportions of saliva samples containing <0.1 ng/ml (i.e. undetectable) cotinine increased from 31.0 to 41.0%. Although across the whole SES spectrum, there was no evidence of displacement of smoking into the home or increased SHS exposure, socioeconomic inequality in the likelihood of samples containing detectable levels of cotinine increased. Among children from the poorest families, 96.9% of post-legislation samples contained detectable cotinine, compared with 38.2% among the most affluent. Socioeconomic gradients at higher exposure levels remained unchanged. Among children from the poorest families, one in three samples contained >3 ng/ml cotinine. Smoking restrictions in homes and cars increased, although socioeconomic patterning remained. CONCLUSIONS: Urgent action is needed to reduce inequalities in SHS exposure. Such action should include emphasis on reducing smoking in cars and homes.Journal of Public Health 03/2012; · 2.06 Impact Factor -
Article: Subjective health and mental well-being of adolescents and the health promoting school: A cross-sectional multilevel analysis
Health Education 01/2012; 112(2):170-184.
