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Estudio de cohortes2018Sin ajuste declarado por estilo de vidaAcceso abierto

Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants

Burgoine T, Sarkar C, Webster CJ, Monsivais P

The international journal of behavioral nutrition and physical activity · 103 citas

Etiquetas de revisión

Sin ajuste declarado por estilo de vida

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Cómo se estudió

Diseño
Estudio de cohortes (indexado por PubMed)
Estudiado en
Personas
Resultado principal
Marcadores de salud y funcionamiento
Consumo medido con
No se indica

Quién lo pagó

Financiación
Financiación independiente
Universidad u hospital
Washington State University
Organización sin fines de lucro
Wellcome Trust
Gobierno
United Kingdom Clinical Research Collaboration
Organización sin fines de lucro
Cancer Research UK
Gobierno
National Institute for Health and Care Research
Organización sin fines de lucro
British Heart Foundation
Universidad u hospital
Centre for Diet and Activity Research
Gobierno
Medical Research Council
Gobierno
Economic and Social Research Council
Organización sin fines de lucro
British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, National Institute for Health Research
Subvenciones
Economic and Social Research Council (ES/G007462/1); Medical Research Council (ES/G007462/1); Economic and Social Research Council (ES/L003201/1); Cancer Research UK (ES/G007462/1); Wellcome Trust (ES/G007462/1); Economic and Social Research Council (ES/L003201/1); Economic and Social Research Council (ES/G007462/1); United Kingdom Clinical Research Collaboration (ES/G007462/1); Medical Research Council (MR/K023187/1); Wellcome Trust (087636/Z/08/Z); Medical Research Council (MC_PC_17228); Wellcome Trust (087636); British Heart Foundation (ES/G007462/1); National Institute for Health and Care Research (ES/G007462/1); Centre for Diet and Activity Research (ES/G007462/1)

Según 10 financiadores declarados y la declaración de financiación del texto completo.

Publicación

Publicado
2018-07-24 · Int J Behav Nutr Phys Act · vol. 15 · número 1 · pág. 71
Editorial
BioMed Central
Citado
172 citas · más que el 99% de estudios similares · 10.2× el promedio de su campo
Impacto
Entre el 10 % más citado de su campo
Referencias
86 trabajos
Acceso
Acceso abierto (revista) · CC-BY
Áreas de investigación
Dietary Effects on Health · Nutritional Studies and Diet · Obesity, Physical Activity, Diet
Palabras clave
Neighbourhood (mathematics), Biobank, Environmental health, Socioeconomic status, Obesity, Public health, Clinical nutrition, Gerontology, Medicine, Biology, Population, Endocrinology
MeSH
adipose tissue, humans, obesity, body weight, body mass index, diet, odds ratio, cohort studies, cross-sectional studies, feeding behavior, environment, residence characteristics, poverty, restaurants, meat products, middle aged, income, biological specimen banks, london, female, male, adiposity, fast foods

4 autores

  • Thomas Burgoine🇬🇧 · autor de correspondenciaUniversity of Cambridge; MRC Epidemiology Unit
  • Chinmoy Sarkar🇭🇰University of Hong Kong
  • Chris J. Webster🇭🇰University of Hong Kong
  • Pablo Monsivais🇺🇸🇬🇧Washington State University Spokane; University of Cambridge; MRC Epidemiology Unit

Resumen

El texto original del estudio, en el idioma en que se publicó.

Background

Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which are key risk factors for non-communicable diseases. However, the research evidence is equivocal. Moreover, understanding the double burden of these factors is a matter of public health importance. The purpose of this study was to test associations of neighbourhood fast-food outlet exposure and household income, in relation to frequency of consumption of processed meat and multiple measures of adiposity, and to examine possible interactions.

Methods

We employed an observational, cross-sectional study design. In a cohort of 51,361 adults aged 38-72 years in Greater London, UK, we jointly classified participants based on household income (£/year, four groups) and GIS-derived neighbourhood fast-food outlet proportion (counts of fast-food outlets as a percentage of all food outlets, quartiles). Multivariable regression models estimated main effects and interactions (additive and multiplicative) of household income and fast-food outlet proportion on odds of self-reported frequent processed meat consumption (> 1/week), measured BMI (kg/m2), body fat (%), and odds of obesity (BMI ≥ 30).

Results

Income and fast-food proportion were independently, systematically associated with BMI, body fat, obesity and frequent processed meat consumption. Odds of obesity were greater for lowest income participants compared to highest (OR = 1.54, 95% CI: 1.41, 1.69) and for those most-exposed to fast-food outlets compared to least-exposed (OR = 1.51, 95% CI: 1.40, 1.64). In jointly classified models, lowest income and highest fast-food outlet proportion in combination were associated with greater odds of obesity (OR = 2.43, 95% CI: 2.09, 2.84), with relative excess risk due to interaction (RERI = 0.03). Results were similar for frequent processed meat consumption models. There was no evidence of interaction on a multiplicative scale between fast-food outlet proportion and household income on each of BMI (P = 0.230), obesity (P = 0.054) and frequent processed meat consumption (P = 0.725).

Conclusions

Our study demonstrated independent associations of neighbourhood fast-food outlet exposure and household income, in relation to diet and multiple objective measures of adiposity, in a large sample of UK adults. Moreover, we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, furthering our understanding of how these factors contribute jointly to social inequalities in health.

Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).

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