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Are Perceived and Objective Distances to Fresh Food and Physical Activity Resources Associated with Cardiometabolic Risk?

Author

Listed:
  • Katherine L. Baldock

    (Centre for Population Health Research, Sansom Institute for Health Research, School of Health Sciences, University of South Australia, Adelaide SA 5001, Australia)

  • Catherine Paquet

    (Centre for Population Health Research, Sansom Institute for Health Research, School of Health Sciences, University of South Australia, Adelaide SA 5001, Australia)

  • Natasha J. Howard

    (Wardliparingga Aboriginal Research Unit, Sansom Institute for Health Research, University of South Australia, Adelaide SA 5001, Australia)

  • Neil T. Coffee

    (Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, Canberra ACT 2601, Australia)

  • Anne W. Taylor

    (Population Research and Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide SA 5001, Australia)

  • Mark Daniel

    (Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, Canberra ACT 2601, Australia
    Department of Medicine, St Vincent’s Hospital, The University ofMelbourne,Melbourne VIC 3065, Australia
    South Australian Health and Medical Research Institute, Adelaide SA 5001, Australia)

Abstract

Perceived and objective measures of neighbourhood features have shown limited correspondence. Few studies have examined whether discordance between objective measures and individual perceptions of neighbourhood environments relates to individual health. Individuals with mismatched perceptions may benefit from initiatives to improve understandings of resource availability. This study utilised data from n = 1491 adult participants in a biomedical cohort to evaluate cross-sectional associations between measures of access (perceived, objective, and perceived-objective mismatch) to fruit and vegetable retailers (FVR) and public open space (POS), and clinically-measured metabolic syndrome and its component risk factors: central obesity, dyslipidaemia, hypertension and pre-diabetes/diabetes. Access measures included perceived distances from home to the nearest FVR and POS, corresponding objectively-assessed road network distances, and the discordance between perceived and objective distances (overestimated (i.e., mismatched) distances versus matched perceived-objective distances). Individual and neighbourhood measures were spatially joined using a geographic information system. Associations were evaluated using multilevel logistic regression, accounting for individual and area-level covariates. Hypertension was positively associated with perceived distances to FVR (odds ratio (OR) = 1.14, 95% confidence interval (CI) = 1.02, 1.28) and POS (OR = 1.19, 95% CI = 1.05, 1.34), after accounting for covariates and objective distances. Hypertension was positively associated with overestimating distances to FVR (OR = 1.36, 95% CI = 1.02, 1.80). Overestimating distances to POS was positively associated with both hypertension (OR = 1.42, 95% CI = 1.11, 1.83) and dyslipidaemia (OR = 1.25, 95% CI = 1.00, 1.57). Results provide new evidence for specific associations between perceived and overestimated distances from home to nearby resources and cardiometabolic risk factors.

Suggested Citation

  • Katherine L. Baldock & Catherine Paquet & Natasha J. Howard & Neil T. Coffee & Anne W. Taylor & Mark Daniel, 2018. "Are Perceived and Objective Distances to Fresh Food and Physical Activity Resources Associated with Cardiometabolic Risk?," IJERPH, MDPI, vol. 15(2), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:224-:d:129240
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    References listed on IDEAS

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    1. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    2. Suzanne J. Carroll & Theo Niyonsenga & Neil T. Coffee & Anne W. Taylor & Mark Daniel, 2017. "Does Physical Activity Mediate the Associations Between Local-Area Descriptive Norms, Built Environment Walkability, and Glycosylated Hemoglobin?," IJERPH, MDPI, vol. 14(9), pages 1-17, August.
    3. Diez Roux, A.V. & Evenson, K.R. & McGinn, A.P. & Brown, D.G. & Moore, L. & Brines, S. & Jacobs Jr., D.R., 2007. "Availability of recreational resources and physical activity in adults," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 493-499.
    4. Stafford, Mai & Cummins, Steven & Ellaway, Anne & Sacker, Amanda & Wiggins, Richard D. & Macintyre, Sally, 2007. "Pathways to obesity: Identifying local, modifiable determinants of physical activity and diet," Social Science & Medicine, Elsevier, vol. 65(9), pages 1882-1897, November.
    5. Morland, K. & Wing, S. & Roux, A.D., 2002. "The contextual effect of the local food environment on residents' diets: The atherosclerosis risk in communities study," American Journal of Public Health, American Public Health Association, vol. 92(11), pages 1761-1767.
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    Cited by:

    1. Katherine L. Baldock & Catherine Paquet & Natasha J. Howard & Neil T. Coffee & Anne W. Taylor & Mark Daniel, 2019. "Correlates of Discordance between Perceived and Objective Distances to Local Fruit and Vegetable Retailers," IJERPH, MDPI, vol. 16(7), pages 1-11, April.
    2. Jobst Augustin & Ramona Bei der Kellen & Christian-Alexander Behrendt & Christina Magnussen & Claudia Terschüren & Leonie Ascone & Simone Kühn & Sandra Wolf & Matthias Augustin & Valerie Andrees, 2022. "Associations between a Subjective Living Environment and Quality of Life among People with Arterial Hypertension—Results from the Hamburg City Health Study," IJERPH, MDPI, vol. 20(1), pages 1-13, December.

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