Journal
SCANDINAVIAN JOURNAL OF PUBLIC HEALTH
Volume 50, Issue 2, Pages 245-249Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1403494820971497
Keywords
Neighbourhood socioeconomic disadvantage; population density; dietary recommendations; dietary habits
Categories
Funding
- Academy of Finland [321409, 329240]
- NordForsk
- MRC [MR/K013351/1] Funding Source: UKRI
- Academy of Finland (AKA) [329240, 329240, 321409, 321409] Funding Source: Academy of Finland (AKA)
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This study investigated the association between socioeconomic neighbourhood disadvantage, population density, and adherence to dietary recommendations. The findings showed that cumulative neighbourhood disadvantage was associated with slightly weaker adherence, while higher population density was associated with better adherence to dietary recommendations. These associations remained significant even after controlling for other factors.
Aims: To investigate the association of six-year cumulative level of socioeconomic neighbourhood disadvantage and population density with subsequent adherence to dietary recommendations, controlling for preceding dietary adherence, in adults in Finland. Methods: Population-based Health and Social Support (HeSSup) study participants from four age groups (20-24, 30-34, 40-44 and 50-54 years at baseline in 1998). Data on diet and alcohol consumption were obtained from the 2003 and 2012 surveys and information on neighbourhoods from Statistics Finland Grid database (n = 10,414 men and women). Participants diet was measured as adherence to Nordic Nutrition recommendation (score range 0-100). Neighbourhood disadvantage was measured by median household income, proportion of those with primary education only and unemployment rate, and population density by the number of adult population between years 2007 and 2012. Linear models were used to assess the associations of neighbourhood characteristics with the score for adherence to dietary recommendations in 2012. Results: Cumulative neighbourhood socioeconomic disadvantage was associated with slightly weaker (1.49 (95% confidence interval (CI) -1.89 to -1.09) point decrease in dietary score) adherence while higher population density was associated with better (0.70 (95% CI 0.38-1.01) point increase in dietary score) adherence to dietary recommendations. These associations remained after controlling for prior dietary habits, sociodemographic, chronic cardio-metabolic diseases, and severe life events. Conclusions: These longitudinal findings support the hypothesis that neighbourhood characteristics affect dietary habits.
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