, Health and Place, Volume 34, July 01, 2015
This paper extends the concept of therapeutic landscapes by investigating how green and blue spaces affect older adult health and wellbeing. We draw on interview data from participants aged 65-86 years old who described their everyday experiences with green and especially blue spaces across Metro Vancouver, Canada. Landscapes embedded with therapeutic qualities included parks, gardens, street greenery, lakes, and the ocean. Interactions with these spaces influenced participants' perceived physical, mental, and social health.
, Social Science and Medicine, Volume 136-137, July 01, 2015
This paper contributes to the literature on Indigenous health, human dimensions of climate change, and place-based dimensions of health by examining the role of environment for Inuit health in the context of a changing climate. We investigated the relationship between one key element of the environment - sea ice - and diverse aspects of health in an Inuit community in northern Canada, drawing on population health and health geography approaches. We used a case study design and participatory and collaborative approach with the community of Nain in northern Labrador, Canada.
, Social Science and Medicine, Volume 128, March 01, 2015
There is a very large literature examining income inequality in relation to health. Early reviews came to different interpretations of the evidence, though a large majority of studies reported that health tended to be worse in more unequal societies. More recent studies, not included in those reviews, provide substantial new evidence. Our purpose in this paper is to assess whether or not wider income differences play a causal role leading to worse health.
, Health and Place, Volume 31, January 01, 2015
Many cross-sectional studies of neighbourhood effects on health do not employ strong study design elements. The Neighbourhood Effects on Health and Well-being (NEHW) study, a random sample of 2412 English-speaking Toronto residents (age 25-64), utilises strong design features for sampling neighbourhoods and individuals, characterising neighbourhoods using a variety of data sources, measuring a wide range of health outcomes, and for analysing cross-level interactions.