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Mixed Method Approaches to Understanding Cancer-Related Dietary Risk Reduction among Public Housing Residents
Journal article   Open access   Peer reviewed

Mixed Method Approaches to Understanding Cancer-Related Dietary Risk Reduction among Public Housing Residents

Ann C Klassen, Katherine Clegg Smith, Maureen M Black and Laura E Caulfield
Journal of urban health, v 86(4), pp 624-640
Jul 2009
PMID: 19444616
url
https://doi.org/10.1007/s11524-009-9352-9View
Published, Version of Record (VoR) Open

Abstract

Prevention Women Qualitative methods Nutrition African–American Urban health Disparities Cancer
Improving diet is one important pathway for addressing cancer disparities. We conducted mixed-method analyses of 468 24-h dietary recalls from 156 African–American women residents of Washington DC public housing to better understand dietary patterns. Recalls were rated for five cancer-related preventive characteristics (adequate fruits/vegetables, moderate fat, moderate calories, no alcohol, and adequate Healthy Eating Index score), combined as a scale. Bivariate and multivariate analyses identified psychosocial and dietary characteristics associated with scale scores. Qualitative analyses of dietary records identified contextual aspects of food patterns within and across score groups. Sixty-one percent of respondents met zero or one dietary goal; alcohol abstention was most common (64%). Only 12% achieve either three (6%), four (4%), or all five (<1%) goals; five fruit and vegetable servings were least common (15%). The underlying scalar structure of responses suggests that fruit and vegetable consumption is seldom achieved in this population without other scale components. Poorer scores were associated with younger age, depressive symptoms, stressful life events, smoking, and food-purchasing practices. Qualitative analyses identified eight themes related to differences between dietary patterns. Findings reinforce the value of nonreductionist approaches to cancer-related nutrition intervention.

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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