2.2 Unpacking composition and context

The difficulties of using ecological data have tended to make researchers cautious about interpreting the health effects associated with specific places – what we might term ‘place effects’. The ecological fallacy involves making inferences about relationships existing at the individual level on the basis of observations which are made at the aggregate level. A further consequence is that when we are dealing with health outcomes and potential explanatory factors at the aggregate level, much of the information which we are seeing is actually a proxy for missing individual-level data. It is useful to make a distinction between those area variables which are summaries of the individual characteristics, such as percentage unemployment, and those which are genuinely features of the place and not reducible to the individual level, such as a changing industrial structure.

Numerous empirical studies have sought to prove or disprove the effects of place over and above those that can be ascribed to the aggregated characteristics of the people who live there. Macintyre et al. (2002) conclude that there is usually evidence of some place effect even in studies which have attempted to control for individual-level characteristics: generally speaking, both place and individual characteristics matter, and individual characteristics seem to matter most.

The distinction between these alternative explanations has become known as the ‘composition versus context’ debate. Thurston and Meadows (2003) illustrate this concept with regard to the people who choose to live in rural areas (compositional) and the nature of rural environments themselves (contextual). Macintyre et al. (2002) suggest that this distinction may still not be entirely clear but that ‘collective’ aspects of local areas, through which individuals living in a particular locality share behaviour patterns and social norms are also an important element in understanding the place context.

“ For example, children in deprived areas may not play in the open air because their families do not have gardens or the resources to take them to play parks (a compositional resource based explanation); because too few public play parks are provided, and there are no good public transport links to those that do exist (a contextual resource based explanation); or because within the prevailing local culture play is not seen as something which is important to children, or it is not considered desirable or safe for children to play with strangers in public places (a collective explanation).”

Macintyre et al., 2002: 130

Much work on attempting to measure contextual effects of place has been driven by data availability rather than any clear theoretical model of how contextual effects might operate. Mitchell et al. (2002) present an empirical GIS study aimed at investigating some of these effects using British mortality data while Pearson et al. (2013) present an empirical study focused on neighbourhood deprivation trends and mortality. These papers present helpful case studies of the need and complexity of unpacking composition and context issues in health GIS.


Activity

Here are two fictitious examples of GIS-based studies that investigate disease patterns, which look at different risk factors for health-related conditions. Based on what you have read, post to the course discussion board your thoughts on whether the following are best classified as contextual, compositional or collective variables:

Study A – Type II diabetes: A GIS-based study of risk factors for Type II diabetes is examining diabetes rates in different health districts (see this link for more on diabetes risk factors: http://www.nhs.uk/Livewell/Diabetes/Pages/Avoiddiabetes.aspx). It includes the following as risk factors for diabetes:

1. Since people of Afro-Carribbean or south Asian descent have a higher risk of Type II diabetes, the study will break down diabetes rates by ethnicity. Is the effect of ethnicity compositional, contextual, or collective?

2. Since poor diet and lack of exercise are risk factors for diabetes, the study looks at green space access, sports provision, and fast food outlet density in each neighbourhood. Are the effects being investigated here compositional, contextual, or collective?

Study B – Smoking: A GIS-based study is examining risk factors for smoking among a sample of adults in different neighbourhoods of an Australian city. It will look at the following risk factors:

3. An estimated overall rate of smoking in each neighbourhood will also be assessed to see whether individuals in neighbourhoods with high smoking rates are at greater risk of being smokers. Is the effect being investigated here compositional, contextual, or collective?

4. Since tougher anti-smoking legislation has been introduced recently, rates of smoking are greater amongst older age groups, so the study will examine the age of each individual in relation to smoking status. Is the effect being investigated here compositional, contextual, or collective?

5. Enforcing tobacco-related legislation remains difficult, and so the study will also look at whether smoking status is linked to whether any businesses in each neighbourhood have been prosecuted for breach of anti-smoking legislation (e.g. selling cigarettes to minors). Is the effect being investigated here compositional, contextual, or collective?


References (Essential reading for this learning object indicated by *)

Diez Roux, A. V. and Mair, C. (2010) Neighbourhoods and health.  Annals of the New York Academy of Sciences 1186, 125-145 Available online at: http://onlinelibrary.wiley.com/doi/10.1111/j.1749-6632.2009.05333.x/full

Macintyre , S., Ellaway, A. and Cummins, S. (2002) Place effects on health: how can we conceptualise, operationalise and measure them? Social Science and Medicine 55, 125-139

Mitchell, R., Dorling, D. and Shaw, M. (2002) Population production and modelling mortality––an application of geographic information systems in health inequalities research Health and Place 8, 15-24

Pearson, A. L., Apparcicio, P. and Riva, M. (2013) Cumulative disadvantage? Exploring relationships between neighbourhood deprivation trends (1991 to 2006) and mortality in New Zealand. International Journal of Health Geographics 12, 38 Available online at: https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-12-38

Stafford, M., Bartley, M., Mitchell, R. and Marmot, M. (2001) Characteristics of individuals and characteristics of areas: Investigating their influence on health in the Whitehall II study Health and Place 7, 117-129

Thurston, W. E. and Meadows, L. M. (2003) Rurality and health: perspectives of mid-life women Rural and Remote Health 3, 219 Available online at:  https://www.rrh.org.au/journal/article/219

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