Smoking and deprivation: are there neighbourhood effects?

Duncan, Craig; Jones, Kelvyn; Moon, Graham

doi:10.1016/s0277-9536(98)00360-8

Cited by 240 publications

(140 citation statements)

References 35 publications

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“…Our study also gives further evidence concerning the unsuitability of ecological/spatial analyses for investigating contextual effects (Aitkin M & Longford N, 1986;Bullen et al, 1996;Duncan et al, 1993Duncan et al, , 1995Duncan et al, , 1996Duncan et al, , 1998Duncan et al, , 1999Jones et al, 1991;Merlo et al, 2001;Subramanian et al, 2009;Twigg et al, 2000). As expressed by Morgenstern, "Several epidemiologists have recently called for a greater emphasis on understanding differences in health status between populations-a return to a public health orientation in contrast to the individual (reductionist) orientation of modern epidemiology….…”

mentioning

confidence: 62%

“…In contrast, others scholars have explicitly concluded that the analysis of variance provides indispensable information for understanding place effects on health (Boyle MH & Willms JD, 1999;Clarke P & Wheaton B, 2007;Duncan et al, 1993;Merlo, 2003;Merlo et al, 2004;Merlo et al, 2009;Riva et al, 2007) Moreover, all around the world, a persistent amount of observational information on place effects is still being obtained from ecological/spatial studies of "small-area variations" , frequently in the form of coloured atlases and disease maps (Benach et al, 2003;Benach et al, 2004;Borrell et al, 2010;Collaboration, 2010;MacNab & Dean, 2002;Middleton et al, 2008;Ocana-Riola & Mayoral-Cortes, 2010;Ocana-Riola et al, 2008a;Pickle et al, 1999;Shaw, 2008;Turrell & Mengersen, 2000). From an empirical perspective, the advantages of multilevel versus ecological regression analyses were clearly identified by the seminal work performed by Aitkins and Longford (Aitkin M & Longford N, 1986) as well as by Jones,4 Duncan, Moon, Subramanian and colleagues (Bullen et al, 1996;Duncan et al, 1993Duncan et al, , 1995Duncan et al, , 1996Duncan et al, , 1998Duncan et al, , 1999Jones et al, 1991;Subramanian et al, 2009;Twigg et al, 2000). We also contributed to this discussion in a previous publication (Merlo et al, 2001).…”

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confidence: 99%

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Bringing the individual back to small-area variation studies: A multilevel analysis of all-cause mortality in Andalusia, Spain

Merlo

Viciana-Fernández²,

Fariñas³

2012

Social Science & Medicine

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confidence: 62%

mentioning

confidence: 99%

Bringing the individual back to small-area variation studies: A multilevel analysis of all-cause mortality in Andalusia, Spain

Merlo

Viciana-Fernández²,

Fariñas³

2012

Social Science & Medicine

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“…A large number of studies have investigated the socio-geographical distribution of smoking habits, and a coherent picture has emerged in countries such as the UK (Duncan et al, 1999) and Sweden (Ohlander et al, 2006): A poor socio-economic environment is associated with individual-level smoking. People in socio-economically disadvantaged neighbourhoods also experience increased morbidity and mortality from smoking-related diseases (Diez Roux et al, 2003).…”

Section: Two Emerging Traditions Of Area-based Substance Use Studiesmentioning

confidence: 99%

Urban landscapes of adolescent substance use

Pedersen

Bakken

2016

Acta Sociologica

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Cities are increasingly organized according to socio-spatial divisions in which groups with similar characteristics live in the same areas. This social polarization is associated with differences in living conditions, health, morbidity and mortality. Traditionally, 'areas of disadvantage' have also been associated with increased risk of harmful substance use. However, some recent studies suggest that 'areas of affluence' may socialize adolescents into high levels of alcohol consumption. Using a combination of city district-level socio-economic data and surveys of adolescents, we investigated patterns of substance use in different city districts of Oslo, Norway, with the aim to shed more light on these conflicting previous findings. We found that adolescents in the affluent parts of Oslo West reported the highest levels of recreational smoking, snus use and alcohol use. Those in the poorer Oslo Central East reported the highest levels of daily smoking, alcohol problems and cannabis use. After controlling for individual-and family-based risk factors, significant area differences remained, except with regard to alcohol problems and cannabis use. We conclude that adolescents living in affluent areas report the highest use of several psychoactive substances, but in a manner that is usually compatible with a rather health-oriented lifestyle. By contrast, those from socioeconomically disadvantaged districts near the city centre use substances in a manner that may have greater potential for social marginalization, morbidity and mortality.Original Article 3

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“…Studies linking residential context to health have found neighborhood characteristics to be significant predictors of various health outcomes and behaviors including mortality (Yen and Kaplan, 1999;Sloggett and Joshi, 1998;LeClere et al, 1998), infectious disease (AcevedoGarcia, 2000(AcevedoGarcia, , 2001, low birthweight (Morenoff, 2003;Roberts, 1997;O'Campo et al, 1997;Sastry, 2003), cigarette smoking (Kleinschmidt et al, 1995;Diez-Roux et al, 2003;Duncan et al, 1999), and consumption level of fruits and vegetables (Morland et al, 2002a), net of individual-level socioeconomic adjustments (c.f. Oreopoulos, 2003;Reijneveld and Schene, 1998;Sloggett and Joshi, 1994).…”

Section: Introductionmentioning

confidence: 99%

Neighborhood context and ethnicity differences in body mass index: A multilevel analysis using the NHANES III survey (1988–1994)

Phuong

Dubowitz

Bird

et al. 2007

Economics & Human Biology

116

110

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A growing body of literature has documented a link between neighborhood context and health outcomes. However, little is known about the relationship between neighborhood context and body mass index (BMI) or whether the association between neighborhood context and BMI differs by ethnicity. This paper investigates several neighborhood characteristics as potential explanatory factors for the variation of BMI across the United States; further, this paper explores to what extent segregation and the concentration of disadvantage across neighborhoods help explain ethnic disparities in BMI. Using data geo-coded at the census tract-level and linked with individual-level data from the Third National Health and Examination Survey in the United States (U.S.), we find significant variation in BMI across U.S. neighborhoods. In addition, neighborhood characteristics have a significant association with body mass and partially explain ethnic disparities in BMI, net of individual-level adjustments. These data also reveal evidence that ethnic enclaves are not in fact advantageous for the body mass index of Hispanics-a relationship counter to what has been documented for other health outcomes.

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Smoking and deprivation: are there neighbourhood effects?

Cited by 240 publications

References 35 publications

Bringing the individual back to small-area variation studies: A multilevel analysis of all-cause mortality in Andalusia, Spain

Bringing the individual back to small-area variation studies: A multilevel analysis of all-cause mortality in Andalusia, Spain

Urban landscapes of adolescent substance use

Neighborhood context and ethnicity differences in body mass index: A multilevel analysis using the NHANES III survey (1988–1994)

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