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J Epidemiol Community Health ; 73(9): 861-866, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31171581

RESUMO

BACKGROUND: Internationally, the prevalence of adults with obesity is a major public health concern. Few studies investigate the explanatory pathways between fast-food outlets and body mass index (BMI). We use structural equation modelling to explore an alternative hypothesis to existing research using area-level deprivation as the predictor of BMI and fast-food outlets and diet quality as mediators. METHODS: Adults (n=7544) from wave II of the Yorkshire Health Study provided self-reported diet, height and weight (used to calculate BMI). Diet quality was based on sugary drinks, wholemeal (wholegrain) bread and portions of fruit and vegetables. Fast-food outlets were mapped using the Ordnance Survey Points of Interest within 2 km radial buffers around home postcode which were summed to indicate availability. Age (years), gender (female/male) and long-standing health conditions (yes/no) were included as covariates. RESULTS: There was little evidence linking fast-food outlets to diet or BMI. An independent association between fast-food outlet availability and BMI operated counterintuitively and was small in effect. There was also little evidence of mediation between fast-food outlet availability and BMI. However, there was more evidence that area-level deprivation was associated with increased BMI, both as an independent effect and through poorer diet quality. CONCLUSION: This exploratory study offers a first step for considering complexity and pathways linking fast-food outlets, area-level deprivation, diet quality and BMI. Research should respond to and build on the hypothesised pathways and our simple framework presented within our study.


Assuntos
Dieta/estatística & dados numéricos , Fast Foods/estatística & dados numéricos , Abastecimento de Alimentos/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Idoso , Índice de Massa Corporal , Estudos de Coortes , Estudos Transversais , Feminino , Humanos , Análise de Classes Latentes , Masculino , Pessoa de Meia-Idade , Obesidade/epidemiologia , Fatores Socioeconômicos , Reino Unido/epidemiologia
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